zh-cn	该模型通过模拟荷尔蒙的扩散以及与受体的反应来实现对人工生命体的控制。
en-us	The model simulates the diffusion of hormones and the reaction with receptors to control artificial life.

zh-cn	为了验证模型及其算法的有效性，本文做了机器人自动导航控制的仿真实验，结果也表明了该模型及其算法具有良好的自适应求解能力。
en-us	In order to verify thevalidity of the model and its algorithm, a simulation experiment of robot automatic navigation control is done. The results al-so show that the model and algorithm have good adaptive resolution ability.

zh-cn	为了提高从企业模型库中检索模型的效率，提出一种基于加权流关系的相似性算法，记作 WF。
en-us	In order to improve the efficiency of retrieving models from enterprise model library, a similarity algorithmbased on weighted flow relationship is proposed, regarded as WF.

zh-cn	首先，本文设计加权流关系集的生成算法，生成算法通过广度优先搜索方法遍历除输出库所外的所有节点及流关系，为每个流关系唯一分配权重，生成加权流关系集;
en-us	Firstly, this paper designs a weighted flow relationship setgeneration algorithm. The generation algorithm traverses all nodes and flow relationships except the output place by breadth-first search method. The weight is assigned to each flow relationship to generate a weighted flow relationship set.

zh-cn	其次，WF 算法基于加权流关系集计算出加权变迁集，并依据 WF 相似性定义计算相似性;
en-us	Secondly, the WF algorithm calculates the weighted transition set based on the weighted flow relationship set, and calculates the simi-larity according to the WF similarity definition.

zh-cn	最后，通过实验及算法的时间复杂度分析比较表明:算法是正确且唯一确定结果的，且 WF 算法具有良好的性能。
en-us	Finally, through experimental and analyzing the time complexity of the algo-rithm results show that the proposed algorithm is correct and unique to determine the result and the algorithm has good per-formance.

zh-cn	针对短突发通信系统存在的频偏估计相位模糊问题，本文提出了一种宽范围低复杂度的时域相关频偏估计算法———基于相位解模糊的部分互相关算法。
en-us	Considering the phase ambiguity problem of frequency offset estimation existed in the short-burst commu-nication, this paper proposes a wide-range low-complexity time-domain correlation frequency offset estimation algorithm—phase-unwrapping based partial cross-correlation algorithm.

zh-cn	该算法利用自相关算法思想和相关代数知识消除了其复乘运算，再利用基于蒙特卡罗仿真的解相位模糊算法解决了其相位模糊问题，从而适应大频偏下的短突发通信环境。
en-us	This algorithm uses the idea of the autocorrelation algorithm andknowledge of the algebra to eliminate its complex multiplication operation, and then utilizes a Monte-Carlo simulation basedphase-unwrapping algorithm to solve the problem of phase ambiguity, thus suitable for the short burst communication envi-ronment with large frequency offsets.

zh-cn	最后仿真结果表明，与经典的 M＆M、AC 和 Giugno 时域算法相比，在保证了较大估计范围的同时，该算法具有更高的估计精度和更低的复杂度，适用于低时延高可靠的短数据包传输。
en-us	Simulation results show that when maintaining large estimation range, the proposed al-gorithm also exhibits both higher accuracy and lower complexity than the classical M＆M, AC, and Giugno algorithms, thussuitable for low-latency high-reliability short packet transmission.

zh-cn	人类对各种复杂视觉场景的感知通过注视点的不断移动来实现。
en-us	The human eyes observe and perceive different external scenes by the continuous movement of fixations.

zh-cn	但在计算机视觉中，如何准确模拟人眼注视点的移动而实现“看向哪儿”这一生物行为是一个难题。
en-us	Itis of great difficulty to predict and model“where to look”of human eyes in computer vision research.

zh-cn	为此，本文基于动态显著性提出一种自由观察情形下的注视点移动计算模型。
en-us	To address this prob-lem, a computational model including two parallel processes:

zh-cn	模型包括了全局跃迁和局部转移行为，
en-us	global transition and local movement, is proposed based on vis-ual dynamic saliency.

zh-cn	前者是通过将眼动趋势、向心性和返回抑制性等规则进行融合来预测下一个注视点从而实现相对远距的注视点迁移;
en-us	The former predicts the long distance migrations of saccades in the scene by combining the eye move-ment bias, visual centrality and inhibition of return;

zh-cn	后者则是通过查找局部最大平均显著性点并将其作为转移的目的位置，二者通过预设准则进行切换。
en-us	the latter is used to determine the next destination by searching for the lo-cal largest average salient point.

zh-cn	实验表明，所提模型能够更有效地模拟人眼注视点分布，具有良好的适用性。
en-us	And these two processes can be switched through a certain judgment rule.

zh-cn	现有的波达方向(Direction of Arrival，DOA)估计方法大多依赖于阵列导向矩阵的精确无偏条件，
en-us	Experimental re-sults show that the proposed model can more effectively simulate the human eye gaze point distribution, resulting in better performance.

zh-cn	而实际工程中由于时钟偏移、阵元位置偏差的存在导致该条件往往难以满足。
en-us	Most of the current direction of arrival estimation (DOA)methods are proposed based on the unbiased knowledge of the array manifold, which may not be guaranteed in some practical applications, since the clock drifting andsensor position uncertainties always exist.

zh-cn	为匹配阵列实际接收条件，本文基于部分校准嵌套阵列，提出了一种增益相位误差下的 DOA 估计新方法。
en-us	To match the actual array reception condition, a DOA estimation method that usespartly calibrated nested array is presented.

zh-cn	该方法首先利用连乘子函数和简单的代数运算完成初始增益相位误差估计，然后通过协方差矩阵向量化和稀疏表示理论构建具有连续自由度的稀疏表示向量模型，
en-us	The proposed method completes the array gain-phase errors estimation by exploi-ting the continuous multiplication operator and simple algebraic operation, and then constructs a sparse vector model via vec-torization operation on array covariance matrix in sparse representation framework, which owes consecutive degrees of free-dom.

zh-cn	最后考虑有效样本的影响，在初始增益相位误差估计的基础上应用稀疏总体最小均方(Sparse total least squares，STLS)算法完成波达方向估计。
en-us	Finally, the influence of the finite number of samples is considered, and the DOAs are successively estimated by apply-ing sparse total squares (STLS)algorithm based on the estimated result of gain-phase errors.

zh-cn	本文所提方法不仅对阵列增益相位误差不敏感，而且可依靠嵌套阵列高自由度特性和 STLS 算法的抗扰动特性获得改进的分辨率和估计精度，计算机仿真结果验证了所提算法的有效性。
en-us	The proposed method not onlyperforms independent of gain-phase errors, but also can provide improved resolution and estimation accuracy, by dependingon the high DOFs provided by nested array and anti-disturbance characteristics of STLS algorithm. Simulation results validatethe effectiveness of the proposed method.

zh-cn	带容量约束的车辆路径问题是 NP 难的组合优化问题，精确算法无法在合理的时间内得到有效的解。
en-us	Capacitated vehicle routing problem (CVRP)is an NP-hard combinatorial optimization problem. ManyCVRP instances cannot be solved by the exact algorithms in a reasonable time.

zh-cn	本文提出了一种采用灰狼空间整数编码和先路由后分组解决方案生成策略的自适应遗传灰狼优化算法用于求解带容量约束的车辆路径问题。
en-us	This paper presents an adaptive genetic greywolf optimizer algorithm (AGGWOA), which implements grey wolf space integer coding and route-first cluster-second solu-tion generation strategy, to solve the capacitated vehicle routing problem.

zh-cn	该算法提出了移动平均自适应灰狼更新策略和灰狼基因遗传策略提高全局收敛能力，同时提出带 3-opt 的劣势点启发邻域搜索策略来增强算法的全局和局部搜索能力。
en-us	The AGGWOA proposes the adaptive update strategyon moving average and grey wolf genetic operation that improve the global convergence of the algorithm. To enhance the glob-al search ability and the local search ability of the algorithm, the AGGWOA proposes the inferior-node heuristic neighborhoodsearch strategy, which implements the 3-opt local search operation.

zh-cn	实验结果表明:所提出算法具有较高的计算精度和较强的寻优能力，有较高的鲁棒性，
en-us	The experimental results indicate that the algorithm pro-posed has superior computational accuracy, effective optimization ability and high robustness.

zh-cn	通过与自适应扫描和速度推测粒子群优化算法、K 均值聚类和灰狼优化混合算法、大邻域搜索和蚁群优化混合算法、基于精英选择的多种群人工蜂群算法、基于集覆盖的扩展节省算法、混合变邻域生物共栖搜索算法等 6 个算法对比证明了算法的有效性。
en-us	The effectiveness of the algo-rithm proposed is proved by comparing AGGWOA with 6 other algorithms including adaptive sweep plus velocity tentativePSO(Adaptive Sweep + VTPSO), K-means clustering GWO(K-GWO), hybrid large neighbourhood search algorithm withant colony optimization(LNS-ACO), elitism-based multiple colonies artificial bee colony(EBMC-ABC), set-covering-basedextended savings algorithm(SC-ESA), hybrid variable neighborhood symbiotic organisms search(HVNSOS).

zh-cn	在非合作通信中，很多情况下由于信道恶化，使得接收信号的信噪比偏低，导致无法对符号速率这一重要参数进行准确估计。
en-us	In non-cooperative communications, due to the deterioration of the channel, the Signal-Noise Ratio (SNR)of the receiving signal is very low in many cases, resulting in the inability to accurately estimate the symbol rate.

zh-cn	随机共振能够在一定程度上利用噪声能量，使其转移并增强微弱信号，小波变换则可以有效检测相位和幅度的瞬变，
en-us	Stochastic resonance can use noise energy to transfer and amplify the weak signals to some extent, and wavelet transform can effective-ly detect the instantaneous variation of phase and amplitude of the signals.

zh-cn	利用二者各自优势，提出了一种将随机共振与小波变换联合进行 MPSK(Multiple Phase Shift Ke-ying，多进制数字相位调制)和 MQAM(Multiple Quadrature Amplitude Modulation，多进制正交幅度调制)信号符号速率的估计方法。
en-us	By using the advantages of both methods, a com-bination algorithm for estimating the symbol rate of MPSK and MQAM is proposed.

zh-cn	先利用自适应参数调节随机共振为带噪信号匹配最佳系统参数，之后利用 Haar 小波变换进一步提取突变信息，不仅弥补了单独使用随机共振效果不佳及其作为非线性系统易发散的缺点，还降低了小波最佳尺度难以确定的影响。
en-us	First, the adaptive parameter-tuning sto-chastic resonance is used to match the optimal system parameters for noisy signals, and then the transient information is fur-ther extracted by Haar wavelet transform, which not only compensates for the shortcomings of the poor effect of using sto-chastic resonance alone and its easy divergence as a non-linear system, but also reduce the influence of the optimal scale of the wavelet.

zh-cn	仿真实验表明，该方法能够在一定程度上提高输出峰值，降低信噪比门限，适合于低信噪比下的符号速率估计。
en-us	The simulation result shows that this method can improve the output peak and reduce the SNR threshold, whichis suitable for the symbol rate estimation under low SNR.

zh-cn	为提高现有开关型随机脉冲噪声(Random-Valued Impulse Noise，RVIN)降噪算法的降噪性能，提出了一种基于卷积神经网络的非开关型 RVIN 快速降噪算法(Fast Non-switching RVIN Denoising Algorithm，FNRDA)。
en-us	To improve denoising effect and execution efficiency of the existing switching random-valued impulsenoise (RVIN)removal algorithms, we propose a convolutional neural network (CNN)-based fast non-switching RVIN de-noising algorithm (FNRDA), which consists of two serial CNN-based modules, i. e. , noise detector and denoiser.

zh-cn	首先，利用噪声检测器随机地检测给定噪声图像中少量不同位置处的像素点;
en-us	Specifical-ly, we first use the noise detector to detect some randomly selected pixels of a given noisy image.

zh-cn	然后，将检测为 RVIN 噪声点的个数除以被检像素点总数转化为噪声比例值;
en-us	Then we divide the numberof the detected noisy pixels by the total number of detected pixels to convert it into noise ratio, which can be treated as ameasure of the distortion level for the given noisy image.

zh-cn	最后，根据噪声比例值调用相应预先训练好的非开关型卷积神经网络降噪模型，快速且高质量地完成图像降噪任务。
en-us	Finally, according to the estimated noise ratio, we exploit the corre-sponding pre-trained non-switching CNN-based denoising model to remove RVIN efficiently with high quality.

zh-cn	实验结果表明:所提出的非开关型 FNRDA 算法在各噪声比例下的综合性能(降噪效果和执行效率)优于经典的开关型 RVIN 降噪算法，适用于图像恢复、信号检测、无线通讯等实时系统中。
en-us	experimental results show that, the proposed non-switching RVIN removal algorithm outperforms the classical switching ones in terms of denoising effect and execution efficiency across various noise ratios. This advantage makes it more attractive and practical inthe real-time applications such as image restoration, signal detection, wireless communication, etc.

zh-cn	基于广义布尔函数的理论研究，利用广义 Walsh-Hadamard 变换、相关函数以及平方和指标，分析了一类广义布尔函数的相关函数关系，得到这类广义布尔函数互相关函数以及自相关函数的关系;
en-us	Based on the theoretical study of the generalized Boolean functions. The correlation functions of a class ofgeneralized Boolean functions are analyzed by using generalized Walsh-Hadamard transform, correlation functions and sum-of-squares and indicator, and the relationship between correlation functions and auto-correlation functions of such generalizedBoolean functions are obtained.

zh-cn	基于所得结果，利用自相关函数证明了一类广义 Bent 函数与 Bent 函数之间的关系。
en-us	Based on the results obtained, the relationship between a class of generalized Bent functionsand Bent functions is proved by using auto-correlation functions.

zh-cn	最后，给出一类广义布尔函数的平方和指标关系。
en-us	Finally, the relationship between sum-of-squares and indica-tor of a class of generalized Boolean functions is given.

zh-cn	为改善单相全桥逆变器的运行效率，设计出了一种新型单相全桥无源软开关逆变器，
en-us	A topology of novel single-phase full-bridge passive soft-switching inverter is proposed to improve conver-sion efficiency of the single-phase full-bridge inverter.

zh-cn	在每个开关周期的换流过程中，利用逆变器的低损耗辅助谐振电路，使开关器件实现软切换以节约电能。
en-us	During the commutation process of each switching cycle, the low-lossauxiliary resonant circuit of the inverter is used to save energy.

zh-cn	辅助谐振电路只含有电感、电容和二极管等无源器件，不会使逆变器的控制变复杂。
en-us	There are some passive devices such as inductor, capacitorand diode, which cannot complicate the control strategy of the inverter.

zh-cn	此外，在逆变器处于死区状态下，负载电流可通过辅助电路进行续流，减小了死区状态对逆变器输出电流波形的不利影响。
en-us	In addition, free wheeling of load current can be real-ized via the auxiliary circuit and the distortion ratio of output current waveforms of the inverter is reduced when the inverteris in the dead state.

zh-cn	文中分析了电路的工作过程，在功率为 3kW 的单相样机上的实验结果表明开关器件能实现软开关，逆变器输出电流波形的畸变率得到了改善。
en-us	The operation process of the circuit is analyzed. The experiment is carried out on a 3kW one-phase labo-ratory prototype. Experimental results verify that the switching devices of the inverter can achieve soft-switching and the dis-tortion ratio of output current wave form of the inverter is improved.

zh-cn	因此，该拓扑结构对于研发高性能单相全桥逆变器具有重要参考价值。
en-us	Therefore, the topology has an important reference valuefor the research and development of high performance single-phase full-bridge inverter.

zh-cn	空间耦合(spatially coupled)LDPC 码为通信系统提供了一种全新的接近容量限的方式，但在耦合过程中需要额外添加校验节点，因此存在一定的码率损失。
en-us	Spatial coupled LDPC (SC-LDPC)code provides an entirely new way of approaching capacity for com-munication systems, however, a rate loss caused by additional check nodes during the coupling process. In order to eliminate rate loss, a coupling method was proposed.

zh-cn	为了消除码率损失，提出了一种新型的耦合方式，首位置变量节点的边展开方式不变，中间位置的边连接到前一个位置的校验节点并依次向后展开，末位置的边与首位置的边成对称分布，
en-us	The edges expansion of the variable node in the first position were unchanged, and the edges of the middle position were connected backwards from the previous position check node, then the edges of thelast position were symmetrically distributed with the edges in the first position.

zh-cn	从而得到了一种无需添加额外校验节点，码率无损失的 SC-LDPC 码变体结构。
en-us	Therefore, a rate-loss-free SC-LDPC codewas designed without added addition check nodes.

zh-cn	在 AWGN 信道中通过外部信息转移(ex-trinsic information transfer)理论分析及误比特率性能仿真，结果表明:
en-us	Extrinsic information transfer (EXIT)theoretical analysis and bit errorrate performance simulation were adopted in the AWGN channel.

zh-cn	相对于 SC-LDPC 码的传统结构，本文提出的 SC-LD-PC 码变体结构在链长较短时不仅能避免码率损失，并且具有更优的阈值和译码性能，在未来通信系统中更具优势。
en-us	It is showed the SC-LDPC variant structure is superior to the traditional structure with a shorter coupling chain length, not only can the rate loss be avoided, but also better threshold and decoding performance, it has more advantages in future communication systems.

zh-cn	随着云计算、物联网和人工智能等 IT 技术驱动数字经济产业的繁荣发展，现代企业信息化需求对数据中心存储能力提出了更高的要求和挑战。
en-us	With the development of digital economy industry driven by IT technologies such as cloud computing, in-ternet of things and artificial intelligence, modern enterprise information demands put forward higher requirements and chal-lenges for data center storage capacity.

zh-cn	RAID 系统因具备良好的数据存储可靠性和磁盘阵列可扩展性而得到广泛应用。
en-us	Due to data storage reliability and redundant arrays of independent disks scalability, RAID system is widely used.

zh-cn	为了满足海量数据对存储容量日益增长的需求，业界普遍采用扩容现有 RAID 系统以应对海量数据的存储问题。
en-us	In order to fulfill the requirements of massive data for the increasing storage capacity, the in-dustry generally adopts a method of scaling RAID system to solve the problem of storing massive data.

zh-cn	电子商务、Web 服务和金融等行业对数据的实时访问，使得数据中心必须为用户提供 7* 24 的高质服务响应，然而数据迁移量，负载均衡和扩容开销等因素都会影响扩容的效率，
en-us	E-commerce, web service and finance access data on real-time, which make the data center must provide high-quality service response for users with 7* 24, but the factors of data migration, load balane and scaling cost will affect the efficiency of RAID scaling.

zh-cn	因此如何设计出一种高效的扩容方案越来越受到科研人员的关注。
en-us	There-fore, how to design a fast and efficient scaling scheme is getting more and more attention from researchers.

zh-cn	本文根据研究对象的不同将 RAID 扩容方案分为:基于块存储、对象存储、文件系统存储的扩容方案，
en-us	According to the different investigative object, this paper classifies RAID scaling approaches into basing on block, object and file system.

zh-cn	同时根据 RAID 扩容方案研究历程和优化策略的不同，又可分为优化数据迁移过程和减少数据迁移量的扩容方案。
en-us	Meanwhile, according to the investigative developing process and different optimization strategies of RAID scaling, the ap-proaches also can divide into optimizing data migration process and reducing the number of data to be moved.

zh-cn	文章结合不同的应用场景介绍了典型和常见的扩容方案，并从评价扩容方案性能各项重要指标的角度详细分析了现有的RAID 扩容方案，并指出各种扩容方案的不足以及未来可能的发展方向。
en-us	From the per-spective of evaluating the performance of the scaling schemes, this article introduces the typical and common scaling schemesby different application scenarios that points out the shortcomings of various scaling schemes and possible improvements.

zh-cn	如何权衡影响扩容方案性能的各项因素，设计出数据迁移少，负载均衡好，扩容开销低的高效扩容方案，将会是今后相当长一段时间海量数据存储研究的热点问题。
en-us	How to balance the factors that affect the performance of the scaling schemes and design a high-performance scaling scheme with less data migration, good load balance, and low scaling cost, which will be a hot issue for massive data storage researchfor a long time in the future.

zh-cn	现有直接定位(Direct Position Determination，DPD)算法主要研究对象是视距目标。
en-us	Direct Position Determination (DPD)algorithms usually focus on line-of-sight target.

zh-cn	针对传统无线电定位技术对超视距目标定位精度低的问题，提出一种辐射源信号波形已知的超视距直接定位(Over-the-Horizon Direct Posi-tion Determination，ODPD)方法。
en-us	Aiming at the prob-lems that traditional radio positioning technology is suboptimal, especially in the over-the-horizon target localization, this pa-per proposes an Over-the-horizon Direct Positioning Determination (ODPD)method with known radiation source wave-forms.

zh-cn	该方法基于电离层电子密度参数，依据最大似然(Maximum Likelihood，ML)准则，从信号数据域直接推导出仅关于目标位置的代价函数。
en-us	Based on the ionospheric electron density parameter, the cost function just about the target position is directly derivedfrom the signal data domain through the Maximum Likelihood (ML)criterion.

zh-cn	其次，本文推导了关于电离层虚高测量误差的定位误差协方差矩阵。
en-us	Furthermore, this paper deduces the positio-ning error covariance matrix considering the measurement error of the ionospheric virtual height.

zh-cn	实验表明 ODPD 方法在低信噪比下相比现有算法，能显著提高超视距目标的定位精度，定位性能更接近克拉美罗界(Cramér-Rao Low Bound，CRLB)。
en-us	Experiments show thatcompared with the existing algorithms, the ODPD method can significantly improve the positioning accuracy of the over-the-horizon target at low SNR. The ODPD positioning performance is closer to the Cramér-Rao low bound (CRLB).

zh-cn	误差分析显示，电离层虚高误差标准差在 20km 时，引起的定位误差能控制在 10km的范围内。
en-us	When the standard deviation of the ionospheric virtual high error is 20km, the positioning error caused can be controlled within therange of 10km.

zh-cn	显著性检测是计算机视觉的一项基础问题，广泛地用于注视点预测、目标检测、场景分类等视觉任务当中。
en-us	Saliency detection is a fundamental issue in computer vision. It is widely applied in fixation prediction, ob-ject detection, scene classification, and other visual tasks.

zh-cn	为提升多特征条件下图像的显著性检测精度，以显著图的联合概率分布为基础，结合先验知识，设计一种概率框架下的多特征显著性检测算法。
en-us	In order to improve the precision of visual saliency detection withmulti-features, a multi-feature integration algorithm is proposed based on the joint probability distribution of saliency map and combined with priori knowledge.

zh-cn	首先分析了单一特征显著性检测的潜在缺陷，继而推导出多特征下显著图的联合概率分布;
en-us	Firstly, the potential defects of single feature saliency detection are analyzed, and the joint probability distribution of saliency maps with multiple features is deduced.

zh-cn	然后根据显著图的稀有性，稀疏性，紧凑性与中心先验推导出显著图的先验分布，并使用正态分布假设简化了显著图的条件分布;
en-us	Secondly, the priori distribution of the sali-ency map is deduced based on the rarity, sparsity, compactness and center priori of the saliency map, and the condition distri-bution of the saliency map is simplified based on the assumption of normal distribution.

zh-cn	随后根据显著图的联合概率分布得到其极大后验估计，并基于多阈值假设构建了分布参数的有监督学习模型。
en-us	Then the maximum a posteriori esti-mation is obtained from the joint probability distribution of the saliency map, and a supervised learning model of the distribu-tion parameters is constructed based on the multi-threshold hypothesis.

zh-cn	数据集实验表明:相比于精度最高的单一特征显著性检测方法，多特征算法在有监督和启发式方法下的平均误差降低了 6.98% 和 6.81% ，平均 F-measure 提高了 1.19% 和 1.16% ;
en-us	Experiments show that compared to the highest-preci-sion saliency detection method on single feature, the mean average error of the multi-feature algorithm under the supervisedand heuristic method is decreased by 6. 98% and 6. 81% , and the average F-measure is improved by 1. 19% and 1. 16% .

zh-cn	单幅图像的多特征融合耗时仅为 11.8ms。
en-us	And the multi-feature integration of single image takes only 11. 8ms.

zh-cn	算法精度较高，实时性好，且可根据不同任务选择所需的特征类别与先验信息，能够满足多特征显著性检测的性能要求。
en-us	The algorithm has high accuracy and real-time perform-ance, and can be combined with the required features and different prior information according to the task. It meets the re-quirements of saliency detection with multi-features.

zh-cn	利用短波二维天线阵列，在国内首次获得了高频返回散射扫频-仰角电离图，
en-us	Utilizing short-wave two-dimensional antenna arrays, the HF backscatter sweep frequency-elevation iono-gram is obtained for the first time in China.

zh-cn	本文结合遗传算法和 Otsu法对群距离-频率-能量三维电离图进行信号区域提取，通过连通域标记方法进行离散点噪声消除，获取“干净”信号，
en-us	In this paper combining genetic algorithm and Otsu for the signal extraction of the group-frequency-energy three-dimensional ionogram.

zh-cn	然后利用 Canny 算子获得频率对应回波信号分布的最近和最远群距离，在群距离-频率-仰角三维电离图上，提取相应频率的仰角-群距离分布数据，分别利用线性曲线拟合、对仰角求对数拟合和对群距离求对数拟合的方式对数据点进行处理，
en-us	Using the connected domain marking to eliminate discrete pointnoise, obtain the clean signal, and use the Canny detetion method to obtain the nearest and farthest distance of each frequencyin the echo signal. On the group-frequency-elevation three dimensional ionogram, the elevation-group data of each frequencyis acquired, Fitting the points by the polynomial fitting, logarithmic fitting of the elevation and logarithmic fitting of thegroup,

zh-cn	通过青岛观测站的测高仪数据对拟合后的曲线分别进行了误差分析，
en-us	Finally performing error analysis of the fitted curve through the vertical detection data of the Qingdao observation sta-tion.

zh-cn	结果显示，对群距离求对数拟合得到的曲线与目标曲线的符合较好，证明了提取方法的有效性。
en-us	The result show that the logarithm of the group obtained curve is in good agreement with the target curve. The validity of the extraction method is proved.

zh-cn	参数调节随机共振系统中参数的选择对输出信号的效果优劣具有决定性作用。
en-us	The selection of the parameters of the stochastic resonance system plays a decisive role in the effect of the output signal.

zh-cn	本文针对目前随机共振无法通用地处理多类微弱通信信号的问题，提出基于自适应调参随机共振的信号增强方法。
en-us	In this paper, aiming at the problem that the stochastic resonance cannot process many kinds of weak commu-nication signals in general, an enhancement method based on adaptive parameter-tuning stochastic resonance is proposed.

zh-cn	首先，从信号的特征子空间角度阐释了随机共振的能量转移本质，提出将基于奇异值分解的测度函数作为评价函数进行寻优。
en-us	Firstly, the energy transfer nature of the stochastic resonance is explained from the characteristic subspace of the signal, and ameasuring function based on singular value decomposition is presented as the evaluation function.

zh-cn	其次，在分析了两个不同系统参数的作用后，利用幅度归一化对单参数优化，降低了复杂度，并将滑动平均滤波器加入随机共振模块来防止幅度漂移。
en-us	Secondly, after analyzingthe effects of two different system parameters, the amplitude normalization is utilized to optimize one single parameter, which reduces the complexity. And the sliding average filter is added to the module to prevent the phenomenon of the amplitude drift.

zh-cn	最后，以人工鱼群算法为基础，模块化设计出方法的整体框架和具体步骤。
en-us	Finally, based on the artificial fish swarm algorithm, the overall framework and specific steps of the method are modu-larly designed.

zh-cn	仿真结果表明，针对四类共九种信号，该方法能够以平均 4 至 5 次的迭代收敛速度实现带噪声的信号和非线性系统的匹配。
en-us	The simulation result demonstrates that the proposed method can match the noisy signal and the nonlinear sys-tem with an average of 4 to 5 iteration convergence speeds for four kinds of signals.

zh-cn	提高射频功率器件的鲁棒性有利于增强器件的抗静电放电能力和抗失配能力。
en-us	Improving the ruggedness of radio frequency power device is beneficial to enhance the ability of withstan-ding electro-static discharge (ESD)and output mis-match.

zh-cn	为了直观地了解器件内部发生的电学过程，本文研究了高鲁棒性 N 型沟道 RF-LDMOS (Radio Frequency Lateral Diffusion MOS)在 TLP (Trans-mission Line Pulse)应力下的电学机理。
en-us	To understand the electrical process happened in device intuitive-ly, the electrical mechanism of state-of-art high-ruggedness N-channel RF-LDMOS (Radio Frequency Lateral DiffusionMOS), under TLP (Transmission Line Pulse)stress, has been studied.

zh-cn	利用 0.18μm BCD (Bipolar/CMOS/DMOS)先进制程，实现了特定尺寸器件的设计与流片。
en-us	RF-LDMOS FETs with different gate widths hadbeen manufactured using advanced 0. 18μm BCD (Bipolar/CMOS /DMOS)process.

zh-cn	通过实测与仿真的对比，发现静电放电失效的随机性、芯片内部的热效应是导致仿真和实测差异的非理想因素。
en-us	It is found that the different failurepoints of simulation and measurement are coming from the random failure of ESD stress and thermal problems.

zh-cn	通过对 TLP 仿真的各阶段重要节点的分析，证明了源极下方的 P 型埋层有利于提高空穴电流的泄放能力，从而提高 RF-LDMOS 的鲁棒性。
en-us	The simula-tion results of different nodes under TLP stress proved that the P buried layer under source area plays an important role inholes flowing, and improves the ruggedness of RF-LDMOS.

zh-cn	硅通孔(Through-Silicon Via，TSV)在制造过程中发生开路和短路等故障会严重影响 3D 芯片的可靠性和良率，因此对绑定前的 TSV 进行故障测试是十分必要的。
en-us	Through-Silicon Via (TSV)is prone to introduce resistive open and leakage faults during the manufactur-ing process, which will seriously affect the reliability and yield of 3D chips, so the pre-bond TSV testing seems necessary.

zh-cn	现有的绑定前 TSV 测试方法仍存在故障覆盖不完全、面积开销大和测试时间大等问题。为解决这些问题，本文介绍一种基于边沿延时翻转的绑定前 TSV 测试技术。
en-us	Existing pre-bond TSV testing methods still have some problems, such as incomplete fault coverage, large area overhead andlarge testing time. To tackle these problems, an edge transition delay based pre-bond TSV testing method is proposed in This paper.

zh-cn	该方法主要测量物理缺陷导致硅通孔延时的变化量，并将上升沿和下降沿的延时分开测量以便消除二者的相互影响。
en-us	This method mainly measures the variation of TSV delay caused by physical defects, and separates the rising and fall-ing edges to eliminate the interaction between them.

zh-cn	首先，将上升沿延时变化量转化为对应宽度的脉冲信号;
en-us	Firstly, the variation of rise-time delay is transformed into a pulse signal with corresponding width;

zh-cn	然后，通过脉宽缩减技术测量出该脉冲的宽度;
en-us	then, the pulse width is measured by pulse width reduction technology;

zh-cn	最后，通过触发器的状态提取出测量结果并和无故障 TSV 参考值进行比较。
en-us	finally, the measurement results are extracted by the state of trigger and compared with the reference value of fault-free TSV.

zh-cn	实验结果表明，本文脉宽缩减测试方法在故障测量范围、面积开销等方面均有明显改善。
en-us	The experimental results show that the proposed method performs better than the existing methods in terms of fault coverage, and area overhead.

zh-cn	可信性作为软件的一种复杂的高复合概念，几十年间都未能取得实质性进展和突破。
en-us	As a complex high-composite software concept, the trustworthiness research has failed to make substantial progress and breakthroughs during these decades.

zh-cn	本文在对可信性权威定义分析的基础上，论证了这些定义所涉范围彼此矛盾且不相容，进一步说明从本质出发研究软件可信性概念模型的重要性和必然性。
en-us	After analyzing the authority definitions of trustworthiness, this paper dem-onstrates that the scope of them is contradictory and incompatible. It further illustrates that the research of software trustwor-thiness conceptual model from its essence is very important and necessary.

zh-cn	“可信”一词源于社会学，所以应该从社会学的信任理论出发来探讨软件可信性的本质。
en-us	The term " trustworthiness" originates from soci-ology; so we should discuss the essence of software trustworthiness based on trust-theory of sociology.

zh-cn	本文在上百篇经典社会学信任理论文献上构建出信任体系模型 STM，并与软件的信任体系进行了对比和映射，提出基于社会学信任理论的软件可信性概念模型 STCM。
en-us	This paper constructsa trust system model STM based on hundreds of classical sociological literature on trust-theory. After comparing and map-ping with software trust system, the paper proposes a software trustworthiness conceptual model STCM based on trust theory of sociology.

zh-cn	在 STM 和 STCM 的基础上给出软件可信性概念模型的定义系统。
en-us	Based on STM and STCM, a complete concept definition system of software trustworthiness is presented.

zh-cn	最后通过度量评估实验验证了模型是可行的、有效的，为软件可信性的发展提供了新的研究方向。
en-us	Final-ly, STCM is proved to be feasible and effective by the measurement and evaluation experiment, which provides a new re-search direction for the advancement of software trustworthiness.

zh-cn	经典的非参数谱分析方法使用滑动窗口来捕捉大多数时间序列的频谱特性，然而这种方法不能很好地应用在时间序列的时频谱是时间连续的信号上。
en-us	Classical nonparametric spectral analysis uses sliding windows to capture the dynamic nature of most real-world time series, however, this universally accepted approach fails to exploit the temporal continuity in the data.

zh-cn	对于一些其时频谱满足时间连续频率稀疏的非平稳信号，提出了一种利用部分平行交替方向乘子法(Alternating Direction Method of Multipliers，ADMM)求解谱寻求问题用于此类信号的时频分析方法。
en-us	For somenon-stationary signals that are smooth in time and sparse in frequency, a method of computing the spectrum pursuit estimate by using partly parallel alternating direction method of multipliers (ADMM)was used to obtain time-frequency analysis ofthis signal.

zh-cn	对一段加噪声的仿真信号和一段 EEG(脑电)信号使用提出的方法进行时频分析。
en-us	A time-frequency analysis was performed on simulated and real human EEG data using the proposed method.

zh-cn	仿真结果表明:与短时傅里叶的分析方法相比，提出的方法不仅提高了时频谱的频率分辨率和时间分辨率，还有效抑制了噪声。
en-us	The simulation results show that the proposed method not only effectively improves time and frequency resolution of the spec-trum, but also effectively suppresses the noise than short-time Fourier transform.

zh-cn	最后从ADMM 算法停止准则的角度说明了算法的收敛。
en-us	Finally, the convergence of the algorithmwas illustrated from the perspective of stopping criterion of ADMM algorithm.

zh-cn	针对卫星通信中常用的幅相调制信号，提出了一种基于循环神经网络的信号识别与解调模型。
en-us	A cognitive signal recognition and demodulation model is designed based on the cyclic neural network for conventional amplitude-phase satellite modulations.

zh-cn	通过循环神经单元直接对信号时序进行深层特征提取，结合全连接神经网络对特征进行维度映射，最终完成目标信号的调制识别与解调。
en-us	Through the cyclic neural unit, the features of the target signal are extrac-ted. And the features are dimension-mapped by the fully connected neural network.

zh-cn	该方法不需要预估目标信号载噪比，克服了人为确定阈值的缺陷，对信号频偏误差、定时误差容忍能力强;
en-us	The model finally completes the modula-tion recognition and demodulation of the target signal with these mapped features. This method does not need much priorknowledge about signal-to-noise ratio (S /N), and it is not sensitive to frequency offset.

zh-cn	且在开发维护和更新拓展方面，克服了传统算法需重新部署判决规则的缺点，符合实际工程需求。
en-us	The method also has good adaptabil-ity in the maintenance and extension, which conforms to the demands of the engineering, while the traditional algorithms need to redeploy the decision rule.

zh-cn	仿真实验表明，当网络训练达到稳态时，在信噪比为 6dB 的条件下，目标信号识别率接近 98% ，解调误码率接近理论门限。
en-us	Computer simulations show that the correct recognition probability is close to 98% whenS /N is greater than 6 dB and demodulation error rate is close to the theoretical gate.

zh-cn	本文所建立的理论形式为当今智能化信号处理提供了新思路，其思想同样可应用于其他通信信号处理领域。
en-us	The presented theoretical form providesa new idea for intelligent signal processing, and it can also be used in other communication signal processing fields.

zh-cn	针对分段电流舵数/模转换器(Digital-to-Analog Converter，DAC)，通过理论分析和推导，研究电流源阵列系统失配误差和寄生效应对非线性的影响，
en-us	According to the segmented current steering digital-to-analog converter (DAC), the influence of current mismatch and parasitics in the current array on the nonlinearity of DAC is discussed by theoretical analysis and derivation.

zh-cn	采用电流源阵列 QN旋转游走版图布局方案，能够减小电流源系统失配的一次误差，而且版图布线简单，由寄生效应引起的电流源失配较小，利于 DAC 非线性的优化。
en-us	A layout plan for the current array, QNrotary walk scheme is utilized for optimizing the nonlinearity of DAC. The metal con-nection in this layout scheme is relatively simple and the current mismatch caused by parasitic effect is small.

zh-cn	基于 0.18μm CMOS，采用“6 + 4”的分段结构，设计了一种 10 位 500MS/s 分段电流舵 DAC，
en-us	With the seg-mented structure of 6 bit thermometer code and 4 bit binary code, a 10 bit DAC is realized in a 0. 18μm CMOS by using the above layout plan.

zh-cn	流片测试结果表明，在输入频率为 1.465MHz，采样速率为 500MS/s 的条件下，无杂散动态范围(Spurious Free Dynamic Range，SFDR)为 64.9dB，有效位数(EffectiveNumber of Bits，ENOB)为 8.8 bit，微分非线性误差(Differential Non-linearity，DNL)和积分非线性误差(Integral Non-line-arity，INL)分别为 0.77LSB 和 1.12LSB。
en-us	The measurement results show that the differential non-linearity (DNL)and the integral non-linearity(INL)of the DAC with QNrotary layout scheme are 0. 77 LSB and 1. 12 LSB. With 500MS /s sampling rate and1. 465MHz input frequency, the spurious free dynamic range (SFDR)and the effective number of bits (ENOB)are 64. 9dBand 8. 8bit, respectively.

zh-cn	DKCHER 算法是基于超扩展规则的求差知识编译算法，也是目前为止表现最好的 EPCCL 理论编译算法。
en-us	DKCHER is a knowledge compilation algorithm of computing difference based on hyper extension rule, which is the best EPCCL compiler so far.

zh-cn	本文通过研究 DKCHER 算法的执行流程，设计了一种新的启发式策略 MOVR(maximum occurrence number of varia-bles in middle result)，用于动态地从输入子句集中选择所包含变量在中间结果中出现次数最多的子句。
en-us	We research the executing process of DKCHER algorithm in this paper, and designMOVR (maximum occurrence number of variables in middle result)heuristics, which is used to dynamically select the clause with maximum occurrence number of variables in middle result.

zh-cn	将 MOVR 启发式策略与 DKCHER 算法相结合，设计了 MOVR_DKCHER 算法。
en-us	By combining MOVR heuristics with DKCHER, MOVR_DKCHER algorithm is designed.

zh-cn	实验结果表明，MOVR 启发式策略能够显著提高DKCHER 算法的编译效率和编译质量，编译效率平均可提升 70 倍左右，最高可以提高 237 倍。
en-us	Experimentally, MOVR heuristics can significantly improve the compilation effi-ciency and compilation quality of DKCHER, in which the compilation efficiency of DKCHER can be averagely improved a-bout 70 times, and the improvement can be up to 237 times at most.

zh-cn	Web 应用程序时刻面临着来自网络空间中诸如 SQL 注入等代码注入式攻击的安全威胁。
en-us	Web applications are constantly exposed to security threats from code injection attacks such as SQL injec-tion in cyberspace.

zh-cn	大多数针对SQL 注入攻击的检测方法执行效率较低，检测精度也不够高，特别是实现方法不易被重用。
en-us	At present, most detection methods against SQL injection attacks have low execution efficiency and low detection accuracy, and are not easy to be reused.

zh-cn	根据注入型脆弱性特征提出了一种基于 AOP(Aspect-Oriented Programming)和动态污点分析的 SQL 注入行为检测方法，并通过方面(aspect)模块化单元对污点分析过程进行了封装，使得安全这类典型的程序横切关注点从基层子系统中分离，提高了检测代码的可重用性。
en-us	According to the characteristics of injection vulnerability, a SQL injection behavior detection method based on aspect-oriented programming and dynamic taint analysis is proposed, the taint analysis process is encapsulated by the aspect unit, so that the typical program cross cutting-concerns are separated from the base sys-tem, which improves the reusability of detection code.

zh-cn	在污点汇聚点结合通知(advice)机制动态加载各类检测组件实现在运行时执行检测代码，从而应对 SQL 注入这类典型的针对 Web 应用程序的代码注入攻击方式。
en-us	The Advice mechanism is used to dynamically load the various detec-tion component implementations to execute the detection code at runtime to counter typical code injection attacks such asSQL injection against Web applications.

zh-cn	实验表明，该方法能够在不修改应用程序执行引擎及源码的前提下实现自保护过程，有效防御重言式(tautologies)、逻辑错误查询(logically incorrect queries)、联合查询(union que-ry)、堆叠查询(piggy-backed queries)、存储过程(stored procedures)、推理查询(inference query)、编码转换(alternate en-codings)等 7 种典型的 SQL 注入攻击类型。
en-us	Experiments show that this method can realize the self-protection process without modifying the application execution engine and source code, so as to effectively defend against seven typical types of SQLinjection attacks such as tautologies, logically incorrect queries, union query, piggy-backed queries, stored procedures, infer-ence query, alternate encodings, and so on.

zh-cn	针对差分隐私非交互式多属性关联的合成数据集发布问题，基于信息熵、汉明失真提出了发布数据集隐私度、数据效用、隐私泄露风险的量化方法。
en-us	Privacy leakage and utility measurement are widely concerned issues in multi-attribute datasets by non-in-teractive differential privacy publishing. In this paper, we have proposed several quantification methods by using information entropy and hamming distortion to quantify the privacy of published dataset, utility of dataset and risk of privacy leakage.

zh-cn	首先，利用互信息量分析属性相关度，并以关联依赖图模型表达属性关联。
en-us	First, we have tailored the existing mutual information concept to analyze the relationship among associated attributes andconstructed an associated dependency graph model to analyze their correlations among multi-attribute.

zh-cn	其次，基于图中关键隐私泄露路径构建马尔可夫隐私泄露链，并结合信息熵提出一种关联属性隐私度量模型及方法，可以有效的度量由关联属性引起的隐私泄露量。
en-us	After that, we have de-veloped a privacy quantification method based on information entropy and privacy leakage Markov chain, which is generated based on the graph of privacy leakage path that has a valid efficiency measurement of the privacy leakage leading by associ-ated attributes.

zh-cn	最后，通过具体实例验证了模型与方法的有效性，并对比分析了该方法的优势。
en-us	Finally, to justify the efficiency of the proposed model, we have included an illustrative example and demon-strated the advantage of our method by comparing with other methods.

zh-cn	在引航员登离船过程中，单一采取加速度阈值判断方法不能完整表征引航员登离船过程上升下降的信息，导致对登离船信息造成误判。
en-us	During the pilot＇s departure from the ship, the information of the ascending and descending of the pilot＇s de-parture from the ship could not fully rely on the single acceleration threshold judgement method, resulting in a erroneous judgement of the information.

zh-cn	为此，提出一种基于人体姿态的双重信号滤波的引航员登离船监测算法。
en-us	For this reason, a dual signal filtering algorithm based on human posture had been proposed to monitor the departure ship.

zh-cn	采集姿态传感器节点引航员姿态数据，进行卡尔曼滤波滤除部分测量噪声，估计出人体姿态状态;
en-us	The attitude sensor equipments had been collected for the attitude data, and the Kalman filter hasbeen used to filter out the noise, estimating the posture state of the human body.

zh-cn	构造软件数字低通滤波器滤除重力加速度的影响;
en-us	A software digital low pass filter had been constructed to filter the influence of gravity acceleration.

zh-cn	构建 FIR 滤波器滤除所需线性加速度中的噪声，并检测引航员登离船过程中的姿态信息;最终与攀爬防护装置进行联动配合实现。
en-us	Then the FIR filter had been constructed to filter the noise in the linear acceleration, and had detected the attitude information during the pilot＇s departure, and Realization of Linkage with Safety Climbing Protective Device.

zh-cn	实验结果表明:该检测方法实现了引航员登离船姿态判断，降低了姿态判断的误操作率，能够较好地区分其他误动作。
en-us	The experimental results show the detection method realizes the attitude judgment of pilotboarding ship and reduces the incorrect operation rate, being better divided into other incorrect behavior.

zh-cn	低频通信中脉冲型噪声会严重降低通信性能。
en-us	Impulsive noise can greatly degrade the performance of long wave communications.

zh-cn	针对脉冲型噪声的抑制问题，本文提出高斯拖尾零记忆非线性(Gaussian-tailed Zero Memory Nonlinearity，GZMNL)函数的最优化设计方法。
en-us	This paper proposes the optimal design of the Gaussian-tailed zero memory nonlinearity (GZMNL)function to suppress impulsive noise.

zh-cn	GZMNL 函数含有两个参数，分别控制其线性范围和拖尾程度，故适用于多种噪声分布。
en-us	The GZMNL function which was proposed for the symmetric α-stable (SαS)noise is not robust in applications, because of the lack of adaptive parameters.

zh-cn	本文提出 GZMNL 设计以效能最大化为优化目标，采用自适应搜索算法来寻找 GZMNL 参数的最佳值。
en-us	This paper proposes to design the GZMNL parameters adaptively to control the linear range and the tails, so that the GZMNL can be effective for various noise distributions. In the GZMNL design, the efficiency is em-ployed as the objective function which is maximized over the GZMNL parameters.

zh-cn	然后讨论了 GZMNL 在 SαS(Symmetric α-Stable，SαS)噪声分布下的快速设计方法，以及在未知噪声分布时的稳健设计方法。
en-us	To solve this optimization problem, we develop a derivative-free optimization algorithm which searches the maximum efficacy adaptively. Considering practical ap-plications, we propose two fast algorithms for the GZMNL design in the SαS noise, as well as a robust method for theGZMNL design in unknown noise distributions.

zh-cn	最后，仿真 SαS 噪声和实测大气噪声数据的处理结果表明:本文设计方法在检测性能上能够接近最优非线性，且能够有效抑制未知分布的噪声。
en-us	Simulation results based on the SαS noise and real atmospheric noise show that the GZMNL design achieves almost the best nonlinearity in known noise distributions. The GZMNL design is effectiveand robust for unknown noise distributions.

zh-cn	如何将带有大量标记数据的源域知识模型迁移至带有少量标记数据的目标域是少样本学习研究领域的热点问题。
en-us	How to migrate a source domain knowledge model with a large amount of tagged data to a target domain with a small amount of tagged data is a hot issue in few-shot learning.

zh-cn	针对现有的少样本学习算法在源域数据与目标域数据的特征分布差异较大时存在的泛化能力较弱的问题，提出一种基于伪标签的半监督少样本学习模型 FSLSS(Few-Shot Learning based on Semi-Supervised)。
en-us	For the problems that the existing few-shot learning algorithm have weak generalization ability when the difference between the feature distribution of the source domain data andthe target domain data is large, a few-shot learning model based on semi-supervised FSLSS(Few-Shot Learning based on Semi-Supervised) is proposed.

zh-cn	首先，利用 py-torch 深度学习框架建立一个关系型深度学习网络，并使用源域数据对网络进行预训练;
en-us	Firstly, a relational deep learning network is established by using the pytorch framework, and the network is pre-trained by the source domain data.

zh-cn	然后，使用此网络对目标域数据进行分类预测，将分类概率最大的类标签作为数据的伪标签;
en-us	Then, the network is used to predict the target domain data, and the la-bel with the highest classification probability is used as the data's pseudo label.

zh-cn	最后，利用目标域的伪标签数据和源域的真实标签数据对网络进行混合训练，并重复伪标签标记与混合训练过程。
en-us	Finally, the network is hybrid trained using the pseudo label data of the target domain and the real label data of the source domain, then repeating the pseudo-labeled and hybrid trained process.

zh-cn	实验结果表明，相对于现有主流少样本学习算法，FSLSS模型有更好的泛化能力及知识迁移效果。
en-us	The experimental results show that the FSLSS model has better generalization ability and knowledge transfer effect than the existing few-shot learning algorithms.

zh-cn	最小割问题(minimum cut problem)是 NP(Non-deterministic Polynomial)难问题，警示传播算法(warningpropagation)是一种基于因子图的消息传递算法，可用于求解组合优化问题。
en-us	The minimum cut problem (MCP)is an NP (Non-deterministic Polynomial)-hard problem, warningpropagation (WP)is a kind of message passing algorithm based on factor graph, it solve the combinatorial optimization problem.

zh-cn	首先，本文借助隐马尔可夫模型将无向图转换为因子图，将求解最小割映射为求解因子图的相应问题。
en-us	First, HMM (Hidden Markov Model)converted undirected graph to factor graph.

zh-cn	进而设计一种求解最小割的警示传播算法。
en-us	Then, we designed a kind ofwarning propagation algorithm to solving the minimum cut.

zh-cn	最后，选取了几组随机无向图实例进行数值实验，实验结果表明，该算法在求解速度上优于同类算法。
en-us	Finally, we selected skit randomly undirected graphs numericalexperiments. The experimental show that the algorithm precedes similar algorithms in speed.

zh-cn	提出了一种非对称双栅应变硅 HALO 掺杂沟道金属氧化物半导体场效应管结构。
en-us	The asymmetrical double-material-gate s-Si(strained Silicon)HALO doping channel MOSFET(Metal-Ox-ide-Semiconductor Field Effect Transistor)structure is proposed.

zh-cn	该器件前栅和背栅由两种不同功函数的金属构成，沟道为应变硅 HALO 掺杂沟道，靠近源区为低掺杂区域，靠近漏区为高掺杂区域。
en-us	The front gate and back gate are composed of two metalswith different work functions. It has the higher doping concentration in the HALO doping channel end near the drain.

zh-cn	采用分区的抛物线电势近似法和通用边界条件求解二维泊松方程，
en-us	The two-dimensional Poisson's equation is solved by applying the parabolic potential approximation and the suitable boundary condition.

zh-cn	分别求解了前背栅表面势、前背栅表面电场及前背栅阈值电压，建立了双栅器件的表面势、表面电场和阈值电压解析模型。详细讨论了物理参数对解析模型的影响。
en-us	The analytical models of surface potential、surface electric field and threshold voltage for the double-material-gatedevice are constructed by solving which of the front gate and back gate.

zh-cn	研究结果表明，该器件能够很好的抑制短沟道效应、热载流子效应和漏致势垒降低效应。
en-us	Results show that the proposed novel device is ex-pected to suppress the short channel effect、hot carrier effect and drain induced barrier lowering.

zh-cn	模型解析结果与 DESSIS 仿真结果吻合较好，证明了该模型的正确性。
en-us	The derived analytical mod-els accord with the DESSIS simulation results very well.

zh-cn	悬臂梁电极长度是影响压电振动俘能特性的重要因素之一。
en-us	The length of the cantilever beam electrode is one of the important factors affecting the characteristics ofpiezoelectric vibration energy harvesting.

zh-cn	提出了用能量分布函数描述在振动俘能过程中电场能量与电极占比的关系，并探究了电极占比对电气输出特性影响的本质。
en-us	The energy distribution function was proposed to describe the relationship between electric field energy and electrode ratio during the vibration energy harvesting, and the nature of the effect of electrode ratioon electrical characteristics was also explored.

zh-cn	指出矩形和三角形悬臂梁获得最大功率的最优电极占比在 50% ～ 60% 之间，
en-us	It is pointed out that the optimal electrode ratio of the rectangular and triangu-lar cantilever beams to obtain the maximum power is between 50% ～ 60% .

zh-cn	在俘能过程中存在电荷的重新分配，且存在能量损失，在最优电极处能量损失最低，全电极时能量损失较大。
en-us	In addition, the charge is redistributed with ener-gy loss during vibration energy harvesting, and the energy loss is lowest at the optimal electrode and greater when the elec-trode ratio reaches 100% .

zh-cn	仿真和实验结果均表明矩形和三角形悬臂梁的最优电极占比与能量分布函数得到的最优值相吻合，优化电极提高输出功率是可行的。
en-us	Both the simulation and experiment results show that the optimal electrode ratio of the rectangular and triangular cantilever beams is in accordance with the optimal value obtained by the energy distribution function, and it is feasible to increase the output power by optimizing the electrode-length.

zh-cn	非对称量子纠错码是针对量子通信中不同类型量子错误发生的概率而设计的有效编码方案。
en-us	Asymmetric quantum codes are an efficient coding scheme against different kinds of quantum errors in quantum communication, which occurs with different probability.

zh-cn	纠错性能良好的量子码在量子通信的真实性和可靠性方面起着决定性的作用。
en-us	The good quantum codes play a decisive role in ensuring the authenticity and reliability of quantum communication.

zh-cn	本文首先通过研究分圆陪集的性质确定出非本原狭义 BCH 码满足 Hermitian 对偶包含的条件;
en-us	In this paper, we first present Hermitian dual-containing condi-tions of the imprimitive narrow-sense BCH codes by a detailed analysis of cyclotomic cosets.

zh-cn	其次，利用推广的 CSS 构造法构造出一系列特殊码长的非对称量子BCH 码;
en-us	Secondly, a series of asym-metric quantum BCH codes with special code length are constructed via the generalized CSS construction.

zh-cn	最后，给出了 m 分别为 3 和 5 的两类非对称量子 BCH 码维数，它们的 z-距离远大于已有文献中的结论，因而提高了非对称量子信道中对相位错误的纠错能力。
en-us	Finally, dimen-sions of two types of asymmetric quantum BCH codes are determined for m as 3 and 5 respectively, whose z distances aremuch greater than the results in the literature. Hence, the error-correcting ability to the phase errors can be further im-proved.

zh-cn	现实中的多目标优化问题不断增多且日益复杂，需要不断发展新型启发式算法应对挑战。
en-us	More and more complex multi-objective optimization problems have emerged in the real world, and the no-vel heuristic algorithms need to be developed to meet the challenge.

zh-cn	提出一种多策略协同的多目标萤火虫算法 MOFA-MCS。
en-us	A multi-objective firefly algorithm based on multiply co-operative strategies (MOFA-MCS)is proposed in the paper.

zh-cn	该算法采用均匀化与随机化相结合的方法产生初始种群;利用档案集中的精英解个体指导萤火虫移动;并在移动的过程施加 Lévy flights 随机扰动;最后，利用 ε-三点最短路径策略维护档案解群的多样性。
en-us	MOFA-MCS uses the method of homogenization and randomi-zation to generate the initial population, adopts the elite solutions in the external archive to lead the firefly to move, exertsLévy flights to add random disturbance in the moving process, and finally, the ε-three-point shortest path strategy is also ap-plied to maintain the diversity of the archive solutions.

zh-cn	MOFA-MCS 算法与其他 6 种经典的多目标进化算法一同在 12 个基准的多目标测试问题上进行实验，结果表明所提算法在收敛性、多样性方面总体上具有显著的性能优势。
en-us	MOFA-MCS is compared with other six representative multi-objective evolutionary algorithms on 12 benchmark multi-objective test problems, and the experimental results show that MOFA-MCShas significant performance advantages in terms of convergence and diversity.

zh-cn	网络资产漏洞评估技术对于梳理互联网资产、实现网络资产漏洞安全管理起到十分重要的作用。
en-us	The network asset vulnerability assessment technology plays an important role in sorting out Internet assets and realizing the security management of network asset vulnerabilities.

zh-cn	已有方法因无法有效获取设备指纹信息而产生评估结果准确度低、功能单一等问题。
en-us	The existing methods have the issues such as low accuracy of e-valuation results and single function due to the inability to effectively obtain the fingerprinting information of the device.

zh-cn	为此，本文提出一种面向网络资产漏洞评估的设备指纹搜索引擎构建方法，具有多接口、交互性强、减少网络冗余探测的优势。
en-us	There-fore, this paper proposes a construction method of device fingerprinting search engine for network asset vulnerability assessment, which has the advantages of multiple interfaces, strong interactivity, and reduced network redundancy detection.

zh-cn	本文通过统计和评估真实网络中的服务器类型、HTTPS 协议漏洞来验证方法的高效性。
en-us	This paper verifiesthe efficiency of the method by counting and evaluating server types and HTTPS protocol vulnerabilities in real networks.

zh-cn	射频连接器与微带线组件常用于通信系统电路中，而组件焊接过渡段的阻抗不连续会使电路中的信号损耗增大。
en-us	The RF connectors and micro strip lines are commonly used in communication system circuits, and the characteristic impedance discontinuity caused by the welding transition section increases the signal loss in the circuit.

zh-cn	针对该问题，本文对射频连接器与微带线组件焊接过渡段进行研究，基于传输线理论，建立焊接过渡段的等效电路模型。
en-us	In This paper, the welding transition section of the RF connector and micro strip line is studied. Based on the transmission line theo-ry, the equivalent circuit model of the welding transition section is established.

zh-cn	讨论了焊接过渡段特征阻抗不连续的原因，同时提出了补偿优化方案。
en-us	The reasons for the characteristic impedancediscontinuity of the welding transition section are discussed, and the compensation schemes are proposed.

zh-cn	此外，通过电磁场与电路的联合仿真，提取出补偿前后等效电路模型的电参数，从等效电路模型的角度分析了补偿方案对组件过渡段复杂电磁特性的影响。
en-us	In addition, the e-lectrical parameters of the equivalent circuit model are extracted by the joint simulation of electromagnetic field and circuit. From the perspective of the equivalent circuit model, the influence of the compensation scheme on the complex electromag-netic characteristics of the solder transition section is analyzed.

zh-cn	有限元仿真分析与实验测试结果显示，补偿后组件的性能显著提高，证明了补偿方案有效可行。
en-us	The finite element analysis and experimental results show that the matching and transmission performance of the compensated components is significantly improved, which proves that thecompensation scheme is effective.

zh-cn	本文通过在 Shinriki 振荡器中引入一个有源荷控忆阻，并且利用一个含绝对值项的磁控忆阻代替原电路中的串并联二极管回路，提出了一种含双忆阻器的 Shinriki 振荡器。
en-us	A dual memristive shinriki oscillator is proposed through expanding Shinriki oscillator with an activecharge-controlled memristor and substituting the series-parallel diode loop in the original circuit with a flux-controlled mem-ristor with an absolute value term.

zh-cn	根据电路拓扑结构图建立了忆阻振荡器的数学模型，开展了振荡器随电路元件参数变化时的共存分岔、周期-混沌状态转移等动力学特性分析。
en-us	Firstly, the mathematical model of the memristive oscillator is established according to thecircuit topology diagram. Secondly, the coexisting bifurcations and routes to period-chaos transitions are analyzed when thecircuit parameters are changed.

zh-cn	结果表明，双忆阻Shinriki 振荡器对忆阻的参数值和初始条件有极大的依赖性，
en-us	Results show that Shinriki oscillator with double memristors exhibits a great dependence onparameter values and initial conditions of memristors.

zh-cn	随着忆阻参数值和初始条件在特定域内变化，振荡器将呈现出共存反单调现象、不完全对称行为、超级多稳态等非线性动力学行为。
en-us	When the parameter values and initial conditions vary in a particular domain, the oscillator will exhibit nonlinear dynamical behaviors such as the phenomenon of coexisting antimonotonicity, in-complete symmetric behaviors, extreme multistability, etc.

zh-cn	此外，基于 FPGA 开发板完成了双忆阻Shinriki 振荡器的数字电路仿真，
en-us	Moreover, the digital module circuit of the oscillator is constructedby the FPGA development board.

zh-cn	在示波器上捕捉实验波形，验证了动力学分析的正确性。
en-us	The experimental waveform is captured on the oscilloscope, which verifies the accuracy ofnumerical simulation.

zh-cn	与有源 Wi-Fi 相比，Wi-Fi 散射通信具有功耗低、成本低的优势。
en-us	Wi-Fi backscatter communication has lower power consumption and lower cost than active Wi-Fi.

zh-cn	但目前大多数研究都存在现场可编程门阵列(FPGA)功耗大和专用集成电路(IC)制作成本高的问题。
en-us	Howev-er, most of the current researches have the problems of large power consumption of field programmable gate array (FPGA)and high manufacturing cost of application specific integrated circuit (IC).

zh-cn	为此该文提出一种基于微控制器(MCU)的无源 Wi-Fi散射通信方法，
en-us	Therefore, a passive Wi-Fi backscatter communi-cation method based on microcontroller (MCU)is proposed.

zh-cn	用低主频 MCU 生成了纳秒级时序精度的 Wi-Fi 散射调制波形，并进行了低功耗设计和优化，开展了基于能量收集的 MCU 电源管理和无源系统设计，
en-us	The low-frequency MCU is used to generate the Wi-Fi back-scatter modulation waveform with nanosecond timing accuracy. After the low power design and optimization, the MCU pow-er management based on energy harvesting and passive system design are carried out.

zh-cn	并首次展示了基于室内弱光能量收集的无源 Wi-Fi 原型样机。
en-us	And the passive Wi-Fi prototype isdemonstrated for the first time.

zh-cn	测试表明，通信瞬时功耗 1。8mW，比有源器件降低了 2 ～ 3 个数量级。
en-us	Tests show that the instantaneous power consumption of communication is 1. 8mW, which is2 ～ 3 orders of magnitude lower than that of active Wi-Fi.

zh-cn	系统待机功耗 2.5μW，有效通信距离 15m，兼容现有的商用 Wi-Fi 设备，
en-us	The system has a standby power consumption of 2. 5μW and an effective communication distance of 15 meters.

zh-cn	且成本低，无需电池。
en-us	It is compatible with existing commercial Wi-Fi devices and has low cost and no battery.

zh-cn	针对无线局域网(Wireless Local Area Networks，WLAN)中密集部署无线接入点(Access Point，AP)导致的能耗和同频干扰问题，提出了一种基于贝叶斯博弈的节能机制 (BaYesian Game based Energy Saving scheme，BYG-ES)。
en-us	Aiming at the problem of energy consumption and co-channel interference caused by dense deployment ofaccess points (APs)in wireless local area networks (WLANs), we propose a Bayesian game-based energy saving scheme(BYG-ES).

zh-cn	首先，对通用 AP 设备的能耗进行测量与分析，构建 AP 发射功率-负载-能耗的关系模型;
en-us	Firstly, we measure energy consumption on the different real AP devices, and model the relationship among AP transmission power, forwarding load and energy consumption.

zh-cn	然后，基于该关系模型及软件定义网络控制器实时收集的网络状态信息，设计基于贝叶斯博弈的能耗优化模型;
en-us	Then, based on the mathematical relationship model and net-work status information collected by controller of software-defined network in real time, a Bayesian game based energy opti-mization design is proposed.

zh-cn	最后，利用社会选择函数求解能耗优化模型，获得干扰限制下最优的休眠 AP 集合和发射功率配置规则，完成用户流量卸载和 AP 发射功率的调整，同时保证 AP 参与博弈的诚实性。
en-us	Finally, the social selection function is used to solve the energy optimization model, and then the sets of sleeping APs and transmit power configuration rules under the interference constraints are obtained to complete user traffic off loading and AP transmit power configuration. Meanwhile, the BYG-ES can guarantee honesty of all participantsduring the Bayesian game.

zh-cn	实验结果表明，BYG-ES 节能机制能在减小系统能耗的同时提高网络性能。
en-us	Simulation results demonstrate that the BYG-ES can minimize system energy consumption andimprove network performances simultaneously.

zh-cn	本文提出了两种基于 N-gram 特征的恶意代码可视化方法。
en-us	We proposed two new methods for visualization analysis based on N-gram features of malware.

zh-cn	方法一以空间填充曲线的形式表示，解决了灰度图方法不能定位字符信息进行交互分析的问题;
en-us	Method 1uses space filling curves to solve the problem that the existing gray scale method cannot locate character information for inter-active analysis.

zh-cn	方法二可视化恶意代码的 2-gram 特征，解决了重置代码段或增加冗余信息来改变全局图像特征的问题。
en-us	Method 2 visualizes the bi-gram features of malware to solve the problem that the attackers may relocate code sections or add redundant data to change the global image features of the visualized results.

zh-cn	经深度融合网络验证所提方法的识别与分类性能，取得了较优的结果。
en-us	We designed the deep fu-sion networks to validate the detection and classification performances of the proposed methods, and the experimental resultsare very promising.

zh-cn	为了提高高分辨率图像分割效率，解决复杂图案中待分割目标边缘附近前景与背景区分度小而造成的分割目标不完整问题，本文通过引入超像素 HOG 特征，提出了一种基于超像素多特征融合(superpixel multi-feature fu-sion，SMFF)的快速图像分割算法。
en-us	In order to improve the efficiency of high-resolution image segmentation and solve the problem of incom-plete segmentation caused by small discrimination of foreground and background in the complex pattern near the edge of thetarget to be segmented, we propose a fast image segmentation algorithm based on superpixel multi-feature fusion (SMFF).

zh-cn	首先采用目前最有效的超像素算法对待分割图像进行超像素预分割，
en-us	Firstly, the most effective superpixel algorithm is used for superpixel processing,

zh-cn	然后提取基于超像素的 HOG 特征、Lab 颜色特征和空间位置特征，设计基于超像素的多特征度量算法，
en-us	and then the superpixel-based HOG feature, laboratory color feature and spatial position feature are extracted. Lastly, by designing a multi-feature measurement algo-rithm,

zh-cn	最终采用图割理论实现了基于超像素多特征融合的快速图像分割。
en-us	the fast image segmentation algorithm based on superpixel multi-feature fusion is implemented.

zh-cn	实验结果验证了本文算法的有效性，其算法性能接近于目前最经典图像分割算法，且本文算法的时间性能要明显优于其它对比算法。
en-us	Experimental resultsverify the effectiveness of the proposed algorithm, which is close to the most classical image segmentation algorithm, and the time performance of the proposed algorithm is significantly better than other comparison algorithms.

zh-cn	动态异构冗余结构是拟态防御技术的常用工程模型。
en-us	Up to now, the Dynamic Heterogeneous Redundancy (DHR)structure is a kind of important engineering model about the Mimic Defense (MD)technique.

zh-cn	然而，目前尚缺乏对该结构实施形式化分析的手段，因为该结构缺乏形式化建模方法。
en-us	However, there is still a lack of way of formal analysis for DHR structuresas there is no formal model available for a DHR structure.

zh-cn	针对此问题，使用有穷状态自动机及其并行组合自动机为一些拟态攻防行为建立计算模型。
en-us	To address this problem, we use a Finite State Automaton (FSA)and its Parallel Automaton (PA)to establish a computing model for some attacks and mimic defenses.

zh-cn	首先，使用单个有穷状态自动机为单个执行体建模;
en-us	First, each FSA isemployed to model each execution body, while there are a number of execution bodies in a DHR structure.

zh-cn	其次，使用有穷状态自动机的并行组合为执行体组合建模;
en-us	Second, these FSAs are combined in parallel to model the combination of execution bodies.

zh-cn	再次，修改状态迁移规则，得到可描述攻防行为的拟态防御自动机模型;
en-us	Third, one can get a model of MD automaton which can describe the attacks and MD actions, by modifying the state transition rules.

zh-cn	最后，根据该自动机模型的状态条件，分析动态异构冗余结构上拟态攻防行为的安全性。
en-us	Finally, one can analyse the attacksand MD actions on a DHR structure, according to the conditions of the PA states.

zh-cn	此外，也可使用交替自动机为拟态攻防建模，并把安全性自动分析规约为交替自动机模型检测问题。
en-us	Furthermore, we use an Alternating Finite Automaton (AFA)to model some attacks and MD actions. As a result, the automatic MD analysis problem is reduced to the solved AFA model checking problem.

zh-cn	现有的高斯消元法在 Turbo 码帧结构识别中，存在着容错性差且计算量大的缺点，直接导致后续分量编码器以及交织器识别算法无法应用。
en-us	The Gauss elimination method to recognize Turbo code frame structure has the shortcomings of poor fault tolerance and high complex computation, which directly leads to the inapplicability of subsequent algorithms to recognize the component coder and inter leaver.

zh-cn	为此，提出了一种基于矩阵模型列相关性的识别方法。
en-us	For this reason, a novel method based on correlation between columns of the matrix is pro-posed.

zh-cn	首先在待定帧长下构建分析矩阵，并对其前后相邻两列进行差分处理，
en-us	Firstly, analysis matrix is constructed under the undetermined frame length, with the neighboring columns being differ-entiated.

zh-cn	然后建立关于差分后矩阵列重的统计量，根据码长及其整数倍处必有统计值能通过判决这一特点确定帧长。
en-us	Then statistics about column weight is established, and frame length is confirmed by the statistical values, which canpass the decision threshold when the column is frame length and its multiple.

zh-cn	最后，通过分析正确码长下通过判决的统计值对应的相对位置关系，归纳帧起点的同步方法。
en-us	Finally, frame staring point is synchronized ac-cording to the relative position of statistical values which pass the threshold.

zh-cn	仿真结果表明，本文算法在误码率高达 0.1 条件下，Turbo 帧结构参数识别能够达到 100% 的识别率，
en-us	The simulation results show that the correct rec-ognition rate of parameters of Turbo frame structure can reach 100% , when the bit error rate is as high as 0. 1.

zh-cn	与现有方法相比，本文算法计算复杂度更低且识别性能更好，可应用于认知无线电等非协作通信领域。
en-us	Compared with the existing methods, the proposed algorithm has lower computational complexity and better recognition performance, and is very suitable for non-cooperative communication fields such as cognitive radio.

zh-cn	在网络结构不断变化的同时，社区结构也随之演化。
en-us	The internal community structure is evolving with the change of network structure.

zh-cn	社区结构在不同时间片的变化可定义为四种不同的演化事件:持续、分离、融合和消失。
en-us	These changes in differ-ent time slices can be defined as four different evolutionary events:survive, split, fusion and disappearance.

zh-cn	本文运用网络表示学习的方法，对网络进行图嵌入编码映射到低维向量空间中，研究动态社区演化事件的预测。
en-us	In this paper, the network representation learning method is used to map the graph embedding of the network into the low-dimensional vectorspace to study the prediction of dynamic community evolution events.

zh-cn	特征方面，在传统的社区内部属性特征、时间片间属性特性变化和前段时间片的社区演化事件的特征维度的基础上，引入潜在结构特征表征四种演化事件，运用随机游走和 Softmax 思想获取潜在的结构特征;
en-us	In the features, based on the features of community in-ternal attributes, the change of temporal attributes, and the previous community evolution events, the potential structure char-acteristics of the four evolutionary events are introduced and obtained by using random walk and Softmax.

zh-cn	模型方面，引入深度随机森林的策略，
en-us	In the model, thes trategy of deep random forest is proposed.

zh-cn	同时采用 attention 机制、蒙特卡洛特征采样策略进行特征融合和特征训练，克服了已有算法仅获取局部结构特征的缺陷。
en-us	Feature fusion and feature training are carried out by using the attention mecha-nism and Monte Carlo feature sampling strategy, which overcomes the shortcomings of the existing algorithms that only ac-quire local structural features.

zh-cn	实验在 DBLP、FACEBOOK 和 Bitcoin 数据集上，对比 SVM、XGBOOST和 RIDGE 模型训练，证实了新提出的算法模型对最终预测准确率有很大的提升。
en-us	Finally, by comparing SVM, XGBOOST, RIDGE model training in the DBLP, FACEBOOKand Bitcoin datasets, it is confirmed that the embedding feature of community structure and the attention deep random forest model improvement have greatly improved the accuracy of final prediction.

zh-cn	针对鲸鱼优化算法(Whale Optimization Algorithm，WOA)存在的收敛速度慢、寻优稳定性不足等问题，本文提出了精英反向学习的黄金正弦鲸鱼优化算法(Elite Opposition-Based Golden-Sine Whale Optimization Algorithm，EGolden-SWOA)。
en-us	In order to improve the slow convergence rate and low stability of WOA, elite opposition-based golden-sinewhale optimization algorithm is proposed. Elite opposition-based learning strategy is used to improve the diversity and quali-ty of the population so that the convergence rate can be promoted.

zh-cn	利用精英反向学习策略提高种群的多样性和质量可以有效提升算法的收敛速度，同时引入黄金分割数优化 WOA 的寻优方式，从而协调算法的全局探索与局部开发能力。
en-us	At the same time, golden ratio is introduced to improve the optimal method of WOA, so as to coordinate the global exploration and local exploitation.

zh-cn	对 20 个单模态和多模态测试函数进行寻优实验，并与 RLPSO(Reverse-learning and Local-learning Particle Swarm Optimization)、IWOA(Improved Whale Optimization Al-gorithm based on nonlinear convergence factor)等多个算法进行对比，
en-us	Twenty unimodal and multi-modal benchmark functions are tested and compared with that of other algorithms,

zh-cn	实验结果表明 EGolden-SWOA 具有更好的寻优精度和稳定性。
en-us	and the experimental results show that EGolden-SWOA has a better performance in convergence rate and stability.

zh-cn	进一步对 EGolden-SWOA 进行求解大规模问题的实验，实验结果表明 EGolden-SWOA 可以有效解决大规模优化问题。
en-us	The high dimensional function test shows that EGolden-SWOA perform well in solving large scale optimization problem.

zh-cn	最后将 EGolden-SWOA 应用于压力容器和蝶形弹簧设计优化问题，结果表明 EGolden-SWOA 在工程优化方面的性能优于 RCSA(Rough Crow Search Algorithm)、CPSO(Co-evolutionary Particle Swarm Optimization)等改进算法，可以有效运用于实际工程优化问题。
en-us	Finally, EGolden-SWOA is applied to the optimi-zation design of the pressure vessel and tension/compression spring, the result shows that its performance in project optimi-zation is better than RCSA and CPSO, it can be effectively applied to project optimization.

zh-cn	针对乳腺 MR 图像组织复杂、灰度不均匀、难分割的特点，本文提出双树复小波(DTCWT)变换结合密度聚类的图像分割方法。
en-us	Breast MR image segmentation is difficult because of complex organization and intensity inhomogeneity. This paper proposes a segmentation method based on dual-tree complex wavelet transform and density clustering.

zh-cn	首先利用复小波域双变量模型结合各向异性扩散函数对图像进行去噪处理;
en-us	Firstly, the image is denoised by using complex wavelet domain bivariate model combined with an isotropic diffusion function;

zh-cn	进而通过简单线性迭代聚类(SLIC)算法将图像划分成一定数量的超像素区域，根据事先设置的阈值搜索每个超像素的近邻，从而降低基于 K 近邻的密度峰值快速搜索聚类(KNN-DPC)算法寻找每个样本近邻的时间;
en-us	Then sim-ple linear iterative clustering (SLIC)algorithm is used to obtain the neighbors of each superpixel, thereby reducing the time of searching for the nearest neighbor of each sample in KNN-DPC algorithm.

zh-cn	最终，引入超像素区域的近邻信息度量样本密度，采用 KNN-DPC 算法的分配策略自适应聚类。
en-us	Finally, nearest neighbor sample density infor-mation of superpixel region is introduced, and distribution strategies from KNN-DPC algorithm are used for adaptive cluste-ring.

zh-cn	仿真和临床数据分割结果表明，所提算法能有效的实现乳腺 MR 图像的分割。
en-us	The segmentation results of simulation and clinical data show that the proposed algorithm can segment breast MR ima-ges effectively.

zh-cn	数据中心网络中同时存在截止时间流(deadline flow)和非截止时间流(non-deadline flow)，为降低非截止时间流的平均完成时间(Average Flow Complete Time，AFCT)同时维持低截止时间错失率(Deadline Miss Rate，DMR)，本文提出了一种基于松弛时间与累计发送量的混合流调度机制(Slack Time and Accumulation based Mix-flowScheduling，STAM)。
en-us	Applications deployed in data center networks generate a mix of flows with and without deadlines. To re-duce the average flow complete time (AFCT)while maintain a low deadline miss rate (DMR), a slack time and accumula-tion-based mix-flow scheduling mechanism (STAM)is proposed in this paper.

zh-cn	首先通过引入松弛时间的概念，衡量截止时间流对非截止时间流在传输时延上的宽容度;
en-us	Firstly, the delay tolerance of deadline flowson non-deadline flows is measured with the introduction of Slack Time.

zh-cn	然后根据松弛时间，通过使截止时间流尽可能接近其规定截止时间完成，降低非截止时间流的完成时间;
en-us	Then the cost of complete time of non-deadline flows is reduced by completing deadline flows barely before their deadlines.

zh-cn	最后，利用最小累计发送量优先策略进一步降低非截止时间流的平均完成时间。
en-us	Lastly, non-deadline flow is scheduled according to the number of bytes it has sent to reduce the average flow completion time.

zh-cn	仿真结果表明，该机制能有效降低非截止时间流的平均完成时间，同时保证较低的截止时间错失率。
en-us	Experiment results show that the proposedmechanism can effectively reduce the average flow completion time of non-deadline flows while maintaining low deadlinemiss rate.

zh-cn	针对传统去雾算法出现色彩失真、去雾不完全、出现光晕等现象，本文提出了一种基于霾层学习的卷积神经网络的单幅图像去雾算法。
en-us	Considering the disadvantage of traditional dehazing algorithm, a single image dehazing algorithm based onhaze layers learning is proposed.

zh-cn	首先，依据大气散射物理模型进行理论推导，本文设计了一种能够直接学习和估计有雾图像和霾层图像之间的映射关系的网络模型。
en-us	According to the atmospheric scattering model, the end-to-end network is designed which directly learn the mapping between the haze images and their corresponding haze layers.

zh-cn	采用有雾图像作为输入，并输出有雾图像与无雾图像之间的残差图像，随后直接从有雾图像中去除此霾层图像，即可恢复出无雾图像。
en-us	The network takes the haze image as the input. Then the recovered haze-free image can be gotten by removing the residual image from the hazy image.

zh-cn	残差学习的引入，使得网络来直接估计初始霾层，利用相对大的学习率，减少计算量，加快收敛过程。
en-us	Residual learning allows the network to estimate the initial haze layer with relatively high learning rates, which can reduce computa-tional complexity and speed up the convergence process.

zh-cn	再利用引导滤波进行细化，使得恢复出的无雾图像更接近真实场景。
en-us	Otherwise, we use guided filter to refine images avoiding halos andblock artifacts, which make the recovered image more similar to the real scene.

zh-cn	本文对不同雾浓度的有雾图片的去雾效果进行测试，并与当前主流深度学习去雾算法及其他经典算法进行对比。
en-us	Finally, the experimental results are analyzedand contrasted carefully. In this paper, the effect on fog images with different fog density is tested, and many comparisons arelisted with other classical algorithms.

zh-cn	实验结果显示，本文设计的卷积神经网络模型在图像去雾的应用，不论在主观效果还是客观指标上，都有优势。
en-us	Experiments demonstrate that the proposed algorithm has better results than state-of-the-art methods on both synthetic and real-world images qualitatively and quantitatively.

zh-cn	针对动态环境未知时变的特点，提出一种机器人路径规划新方法。
en-us	For the characteristics of being unknown and time-varying of dynamic environment, a new method for mo-bile robot path planning is proposed in this paper.

zh-cn	在该方法中，首先对栅格法建立的环境模型进行凸化处理，以避免机器人沿规划路径移动时陷入 U 型陷阱，从而加快路径规划的速度;
en-us	Firstly, in this method the environment model established by the grid meth-od is convexized in order for the robot to avoid falling into U-shaped traps when moving along the planned path and thus to speed up the path planning.

zh-cn	其次，提出双层蚁群算法(DACO)，在每次迭代中先用外层蚁群算法寻找一条路径，
en-us	Secondly, a double-layer ant colony optimization(DACO)algorithm is proposed. In each itera-tion of DACO algorithm, a path is found firstly by the outer ACO algorithm,

zh-cn	然后以该路径为基础构造一个小环境，接着在该环境下用内层蚁群算法重新寻优，若寻得的路径质量更高，则更新路径并执行本文给出的一种新型信息素二次更新策略;
en-us	then on basis of which a small environment isconstructed, and then the robot re-plans path by the inner ACO algorithm in the small environment;if the newly obtained path is better, then the global optimal path is updated and a new pheromone secondary update strategy proposed in this paperis executed.

zh-cn	最后，针对环境中不同动态障碍物的体积和速度，提出三种避障策略。
en-us	At last, three kinds of obstacle avoidance strategies are put forward according to the volume and speed of differ-ent dynamic obstacles in the environment.

zh-cn	动态环境下，机器人先由 DACO 算法规划一条静态环境下从起点到终点的全局最优路径，
en-us	In the dynamic environment, the robot plans a global optimal path from the start-ing point to the destination with respect to the static environment via the DACO algorithm,

zh-cn	然后从当前起点开始，通过自带传感器获取动态环境信息，并根据需要执行等待、正碰或追尾避障策略，到达新的起点。
en-us	then from the current starting point, the robot acquires the dynamic environment's information by its embedded sensor and implements waiting-for-obsta-cle avoidance strategy, collision avoidance strategy or rear-end collision avoidance strategy when necessary, and then the ro-bot moves to next position as a new starting point.

zh-cn	仿真实验表明，该方法可以在动态环境下实时地为移动机器人规划出一条安全且最短的路径，是求解移动机器人路径规划问题的一种切实有效的方法。
en-us	Simulation results show that the proposed can plan a safe and shortest path for mobile robot in real time under dynamic environment and is a practical and effective method for mobile robot path plan-ning.

zh-cn	随着网络功能虚拟化(NFV)的引入，运营商能够提供更为灵活的网络服务。
en-us	With the introduction of network function virtualization (NFV), operators can provide more flexible net-work service.

zh-cn	然而现有服务功能链(SFC)编排局限于静态反应式策略，业务流量发生变化时网络资源供应量难以匹配负载需求，虚拟网络功能(VNF)频繁部署与迁移，运营开销增大。
en-us	However, most existing orchestration schemes of service function chain (SFC)are limited to the static or reac-tive policy where the virtual network functions (VNFs)need to be deployed or migrated frequently, and will easily lead to the mismatch of service supplement and high operational expenditure under time-varying workload.

zh-cn	针对上述问题，该文提出一种基于流量演化感知的服务功能链在线弹性编排策略(OEOP)，
en-us	This paper proposes anonline elastic orchestration policy (OEOP)based on the evolution perception of flow rate to solve the above mentionedproblem.

zh-cn	该策略将在线学习引入到 SFC 流量演化感知的过程，预先确定细粒度的 VNF 弹性需求。
en-us	OEOP introduces online learning into the evolution perception of flow rate, which helps to predetermine the fine-grained VNF scaling demands. In addition, the online elastic deployment is achieved according to the real-time update infor-mation of SFC paths and the load of nodes.

zh-cn	此外，以实时更新的SFC 路径与节点负载两因子为导向，完成新增 VNF 的在线弹性部署，代替 VNF 迁移应对系统负载变化。
en-us	The newly deployed VNF instances can respond to the time-varying workload bytaking place of the mission of VNF migration.

zh-cn	仿真表明，该策略明显增强了虚拟资源供应量与负载需求的匹配特性，
en-us	The simulation results demonstrate that OEOP can significantly enhance the matching between virtual resource supply and workload demand.

zh-cn	VNF 吞吐量利用率提高 10.2% ～ 24.8% ，运营开销平均降低 26.7% 。
en-us	The throughput of VNF is improved by 10. 2% ～ 24. 8% , and the operational expenditure can be reduced by 26. 7% on average compared with other solutions.

zh-cn	双线性卷积网络(Bilinear CNN，B-CNN)在计算机视觉任务中有着广泛的应用。
en-us	The bilinear convolutional neural network(B-CNN)has been widely used in computer vision.

zh-cn	B-CNN 通过对卷积层输出的特征进行外积操作，能够建模不同通道之间的线性相关，从而增强了卷积网络的表达能力。
en-us	B-CNN can capture the linear correlation between different channels by performing the outer product operation on the features of the con-volutional layer output, thus enhancing the representative ability of the convolutional network.

zh-cn	由于没有考虑特征图中通道之间的非线性关系，该方法无法充分利用通道之间所蕴含的更丰富信息。
en-us	Since the non-linear relation-ship between the channels in the feature map is not taken account of, this method cannot make full use of the richer informa-tion contained between the channels.

zh-cn	为了解决这一不足，本文提出了一种核化的双线性卷积网络，通过使用核函数的方式有效地建模特征图中通道之间的非线性关系，进一步增强卷积网络的表达能力。
en-us	In order to solve this problem, this paper proposes a kernelized bilinear convolutional neural network employing the kernel function to effectively capture the non-linear relationship between the channels in thefeature map, and further enhancing the representative ability of the convolutional network.

zh-cn	本文在三个常用的细粒度数据库 CUB-200-2011、FGVC-Aircraft 以及 Cars 上对本文方法进行了验证，实验表明本文方法在三个数据库上均优于同类方法。
en-us	In this paper, the method is evalu-ated on three common fine-grained benchmarks CUB-200-2011, FGVC-Aircraft and Cars. Experiments show that our methodis superior to its counterparts on all three benchmarks.

zh-cn	本文提出了一种分散式大规模多目标跟踪网络的传感器选择优化算法。
en-us	A sensor selection optimization algorithm is proposed for decentralized large-scale multi-target trackingnetwork.

zh-cn	该方法以多目标状态集和估计集间的均方最优子模式分配误差下界作为优化目标函数，根据加权 Kullback-Leibler 平均(Kullback-Leibler average，KLA)准则对局部多目标密度进行融合，最终采用坐标下降法来折中计算代价和跟踪精度。
en-us	In this method, the lower bound of mean square optimal sub-pattern assignment error between multi-target state setand its estimation is taken as optimized objective function while the rule of weighted Kullback-Leibler average (KLA)isused to fuse local multi-target densities. The coordinate descent method is proposed to compromise the computation cost andtracking accuracy.

zh-cn	仿真实验在不同信噪比场景下验证了本方法的有效性。
en-us	Simulations verify the effectiveness of our method under different signal-to-noise ratio scenarios.

zh-cn	在工业场景中，复杂无线环境对定位网络的影响导致定位存在实时可靠性差、精度低的问题。
en-us	In the industrial environment, the influence of the complex wireless communication on the localization net-work leads to poor real-time reliability and low accuracy of localization.

zh-cn	基于此，本文设计了在信标节点异步情况下支持 TDOA(Time Difference-Of-Arrival)测量的确定性定位网络模型(ASync-Det-NET)，
en-us	This paper proposes the deterministic localization network model for TDOA (time difference-of-arrival)measurement in the case of asynchronous anchor nodes called ASync-DetNET.

zh-cn	同时提出了适用于 ASync-DetNET 的节点感知模型和定位模型。
en-us	After that, we propose the sensing model and localization model, which can adapt to ASync-DetNET.

zh-cn	通过简化了定位节点对数据信息的获取方式，合理调度通信资源，使得能够满足不同精度的定位需求，在保障定位精度的前提下，提高定位的实时可靠性。
en-us	These models can simplify the way of obtaining data information, comply with various requirements of localization accuracy and guarantee the real-time reliability with reasonably communication resources scheduling.

zh-cn	本文在实际搭建的面向复杂工业环境的 UWB(Ultra-WideBand)室内定位系统中进行测试，
en-us	Subsequently, we implement a localization sys-tem with ultra-wideband signals for complicated environment and finally we estimate the influence of the ASync-DetNET onthe localization.

zh-cn	结果表明文中方法能够在一定程度上提高了定位精度，保证定位的确定性。
en-us	The experiments show that the proposed models can improve the accuracy of localization and guarantee the deterministic of localization.

zh-cn	本文引入一种可靠的芯片指纹物理不可克隆函数(Physical Unclonable Function)电路。
en-us	A reliable physical unclonable function (PUF)for chip fingerprint using current starved delay element(CSDE)is described in this paper.

zh-cn	该 PUF 包括基于电流饥饿型延迟单元的工艺敏感电路、时间偏差放大器、时间偏差比较器、表决机制与扩散算法五个部分。
en-us	The proposed PUF is composed of CSDE-based sensors, time difference amplifier, time difference comparator, voting mechanism and diffusion algorithm circuit.

zh-cn	通过捕获制造工艺的偏差，每一个工艺敏感电路可以稳定产生两路具有微弱延时差的延迟信号，然后比较生成指纹 ID;
en-us	By capturing manufacturing process variations, each sensor produces two slightly different delay-time values that can be compared in order to create a digital identification (ID)for the chip.

zh-cn	设计一种新型的扩散算法改善 PUF 的唯一性，引入时间偏差放大器与表决机制增强 PUF 相对于温度与电源电压变化的稳定性。
en-us	A new diffusion algorithm is designed to further improve the uniqueness of PUFs. Time difference amplifier andvoting mechanism are introduced to simultaneously improve the reliability of PUFs across temperature and supply voltage variations.

zh-cn	文中 PUF 在 0.18μm CMOS 工艺下实现。
en-us	The proposed PUF is designed in 0. 18μm CMOS technology.

zh-cn	仿真结果表明，该 PUF 的输出具有均匀统计分布特征，同时在温度从－ 40℃ 至 100℃ ，电源电压从 1.7V 至 1.9V 变化条件下，其输出 ID 具有 97.5% 的稳定性。
en-us	Simulated results show that the proposed PUF has agood output statistical characteristic of uniform distribution, and a high stability of 97. 5% with respect to temperature varia-tion from － 40℃ to 100℃ , and supply voltage variation from 1. 7V to 1. 9V.

zh-cn	亚奈奎斯特采样雷达是利用回波信号的稀疏性，基于模信转换系统发展起来的欠采样雷达系统。
en-us	Sub-Nyquist radar is an analog-to-information based radar system with the assumption of sparse echo sig-nals.

zh-cn	本文研究亚奈奎斯特采样雷达的运动目标回波信号的快速重构问题。
en-us	We study the reconstruction of moving target echoes obtained from the sub-Nyquist radar.

zh-cn	与单脉冲回波重构不同，运动目标在脉冲积累时间内可能产生跨距离单元现象，使得回波信号表示系数呈现稀疏时变性。
en-us	Different from the recon-struction of echo signals from a single pulse, the moving targets may be across range cells in a coherent processing intervaland thus the echo signals have the property of the time-varying sparsity.

zh-cn	本文采用概率分布模型描述稀疏位置的变化，首先将多脉冲回波信号重构转化为加权稀疏重构问题;
en-us	However, it has been found that the sparse positionsobey a probabilistic distribution and then a random model is adopted to describe the sparsity. The reconstruction of the multi-ple echoes is transformed into a weighted sparse reconstruction problem.

zh-cn	然后根据分段滑动重构思想，提出一种基于正交投影的加权稀疏分段滑动重构方法来实现快速重构。
en-us	An orthogonal-projection-based weighted sparse segment-sliding reconstruction (OP-WSegSR)scheme is proposed in this paper.

zh-cn	该方法利用前一个脉冲稀疏位置估计信息，构造分段产生干扰的正交补空间，将子段压缩测量投影到构造的正交补空间，有效地抑制了相邻段引入的干扰。
en-us	Utilizing the estimation of sparse positionsin the previous pulse, the scheme projects the measurements of the current segment onto the orthogonal complement subspace spanned by the interference generated in the segmentation process and then the adjacent interference is greatly rejected.

zh-cn	数值仿真验证了方法的有效性。
en-us	Simu-lations show the effectiveness of the OP-WSegSR scheme.

zh-cn	从网络内部探测目标终端的脆弱性是网络攻击发起的主要途径，当前网络的静态特性利于攻击者目标侦察的实施，网络内部的 L2 /L3 地址是攻击者期望侦察的主要信息。
en-us	The detection of the vulnerability of the target host from the intranet is the main way to initiate the networkattack. The static characteristics of the current network are beneficial to the implementation of attacker reconnaissance, andthe L2 /L3 address inside the network is the main information that the attacker expects to scout.

zh-cn	为了改变目标侦察阶段网络攻防的易攻难守态势，基于拟态伪装的思想，提出了一种 L2 和 L3 地址协同动态化技术，在不影响正常业务条件下有策略地隐藏真实网络主机。
en-us	In order to change the net-work attack and defense situation in the reconnaissance stage, based on the idea of mimicry camouflage, a collaborative dy-namic technology of L2 and L3 addresses is proposed to strategically hide the real network host without affecting normal business conditions.

zh-cn	首先，建立网络侦察的博弈模型(CRG)，基于 NASH 均衡解指导 L2 /L3 地址的拟态伪装策略，并给出最优的跳变周期计算公式;
en-us	Firstly, the cyber reconnaissance game (CRG)is established. Based on the NASH equilibrium solution, the mimetic camouflage strategy of L2 /L3 address is solved, and the optimal mutation period calculation formula is given.

zh-cn	其次，基于软件定义网络架构，设计并实现了协同动态化的内网防护系统(CMID)，由 SDN 控制器协同控制 L2 /L3 地址的伪装变换;
en-us	Secondly, based on the software-defined network architecture, the cooperative mutation intranet defense system (CMID)isdesigned and implemented, and the SDN controller cooperatively controls the camouflage transformation of the L2 /L3 ad-dress.

zh-cn	最后，理论分析与实验结果表明:上述方法能够有效切断 L2 /L3 地址与真实网络身份、上层服务的关联性，最大化地隐藏网络内部主机，延缓侦察速度，阻断网络攻击的连续性。
en-us	Finally, the theoretical analysis and experimental results show that the above method can effectively cut off the correla-tion between L2 /L3 address and real network identity and upper-layer services, maximally hide the internal hosts of the net-work, delay the reconnaissance speed, and block the continuity of network attacks.

zh-cn	软件定义网络(Software-Defined Networking，SDN)作为一种数据转发与控制逻辑相解耦、并开放底层编程接口的创新网络架构，为降低核心网的部署运营成本、提升应用业务性能提供了全新的解决思路。
en-us	As an innovative network architecture decoupling data forwarding and control logic, and opening underly-ing programming interfaces, software-defined networking (SDN)provides a novel solution to reduce deployment and opera-tion costs and improve business application performance in core networks.

zh-cn	然而，在 SDN 架构下，逻辑上集中的控制平面容易出现性能瓶颈，进而加大分组转发时延，因此有必要理解其分组转发性能特性。
en-us	However, logically centralized control plane underthe SDN architecture is prone to performance bottlenecks, and increases packet forwarding delay.

zh-cn	为此，本文首先介绍了软件定义核心网的典型部署场景，分析了控制平面的 Packet-in 消息到达过程和数据平面的分组到达过程，
en-us	Thus it is necessary to un-derstand the characteristics of its packet forwarding performance. To this end, we first introduce typical deployment scenarios of software-defined core networks, and analyze Packet-in message arrival process in its control plane and packet arrival process in its data plane.

zh-cn	进而应用 M/M/n/m 和 M/M/1 /m 排队模型分别刻画控制器集群的 Packet-in 消息处理过程和 OpenFlow 交换机的分组处理过程。
en-us	Then the M /M /n/m and M /M /1 /m queueing models are respectively applied to depict Packet-inmessage processing process of its controller clusters and packet processing process of its OpenFlow switches.

zh-cn	在此基础上，建立 OpenFlow 分组转发优先制排队模型，进而推导出不同优先级的分组转发时延及其累积分布函数 CDF。
en-us	On this basis, we establish a prioritized queueing model of OpenFlow packet forwarding, and derive packet forwarding delays of different priorities and its cumulative distribution function.

zh-cn	最后，借助控制器性能测量工具 OFsuite_Performance 进行实验评估，结果表明:与现有模型相比，本文所提的 M/M/n/m 模型更能准确估计控制器集群的实际性能。
en-us	Finally, experimental evaluation in virtue of the controller performance measurement tool OFsuite_Performance shows that our proposed M /M /n/m model can accurately estimate actual perform-ance of controller clusters compared with existing models.

zh-cn	同时，采用数值分析的方法对比了多种情况下不同优先级的分组转发时延及 CDF 曲线，为软件定义核心网的实际应用部署提供有效参考。
en-us	Meanwhile, we contrast packet forwarding delays of different priorities in various cases and their CDF curves by numerical analysis, which provides effective references for practical deploy-ments of software-defined core networks.

zh-cn	针对大数据背景下数据分类问题，已有的在线学习算法通常引入 L1范数正则化增强预测模型的稀疏性，但单一的正则化约束不能高效的获取稀疏模型。
en-us	To deal with data classification problems under the background of big data, many existing online learning algorithms usually take advantage of L1norm regularization to enhance the sparsity of the prediction model. However, asparse prediction model cannot be obtained efficiently by a single regularization constraint.

zh-cn	基于此，提出了一种具有双重稀疏机制的在线学习算法(an onlinelearning algorithm with dual sparse mechanisms，DSOL)。
en-us	In this paper, an online learningalgorithm with dual sparse mechanisms (DSOL)is proposed.

zh-cn	在 DSOL 算法中，一方面利用 L1 /2正则化项约束目标函数以增强预测模型的稀疏性，提高算法的泛化性能。
en-us	In DSOL algorithm, the objective function is constrained byL1 /2regularization in order to enhance the prediction model's sparsity, and then improve the generalization ability of DSOL.

zh-cn	另一方面用改进的梯度截取法对数据特征进行选择，有效稀疏化预测模型。
en-us	Furthermore, an improved truncated gradient method is applied to enhance the sparsity of the prediction model through prop-erly selecting the features of data.

zh-cn	通过 L1 /2正则化与改进的梯度截取策略的有机融合，有效利用了历史数据信息，提高了算法分类数据的性能。
en-us	By the organic integration of the above two sparse mechanisms, including the L1 /2regulari-zation and the improved truncated gradient method, some historical data information can be effectively utilized, and then theperformance of the algorithm in data classification can be greatly improved.

zh-cn	通过与另 4 种代表性稀疏在线学习算法在 9 个公开数据集的实验对比表明 DSOL 算法对数据分类的准确性更高。
en-us	Extensive experiments between DSOL and other4 popular sparse online learning algorithms on 9 open data sets manifest that DSOL algorithm yields more favorable perform-ance on data classification.

zh-cn	近年来，各领域内频频发生各类突发事件，对社会稳定发展产生了一定程度的影响。
en-us	In recent years, a wide variety of bursty events have been occurring frequently in many fields, impacting both the stability and the development of our society.

zh-cn	本文提出了一种基于多种词特征的微博突发事件检测模型，可以在海量微博数据中对突发事件进行检测，便于相关决策者进行微博监控和舆论引导，尽可能减少突发事件给社会带来的危害。
en-us	This paper proposes an event detection model based on multiple wordfeatures, which is intended to detect bursty events in the massive microblog data. The model will assist decision-makers tomonitor microblogs and guide public opinions and will minimize the negative effect of bursty events to society.

zh-cn	首先根据时间信息对微博数据进行时间切片，
en-us	Firstly, themodel slices the microblog data according to the time information.

zh-cn	对每一个时间窗口内的数据分别计算各个词语的词频特征、话题标签特征和词频增长率特征;
en-us	In each time window, the word frequency feature, the top-ic tag feature and the word frequency growth rate feature of each word are calculated separately.

zh-cn	然后基于 D-S 证据理论和层次分析法，确定词的各个特征权重，并进行加权融合得到词的突发特征值，
en-us	Then, the D-S evidence the-ory and the analytic hierarchy process are utilized to determine each word's feature weights, which are then merged to obtain the bursty feature value of the word.

zh-cn	将突发特征值大的词挑选出来构成突发特征词集，构建基于共现度和结合紧密度的突发事件特征词集的耦合度矩阵;
en-us	Words with large bursty feature value are selected to form the bursty feature word setand to construct a coupling degree matrix of bursty feature word set based on co-occurrence degree and tightness.

zh-cn	最后将该耦合度矩阵作为凝聚式层次聚类算法的输入，生成一棵由突发词为叶子节点的二叉树，并采用内部相似度的二叉树剪枝算法对聚类结果进行划分，即可实现对相应时间窗口突发事件的检测。
en-us	Finally, thecoupling degree matrix is used as the input of the hierarchical agglomerative clustering algorithm to generate a binary treewith bursty words being leaf nodes, and the internal similarity binary tree pruning algorithm is used to divide the clustering results. In this way, the detection of the corresponding time window's bursty events can be realized.

zh-cn	实验结果表明，基于突发词的事件检测模型在簇内部相似度阈值等于 1.1 时效果最好，正确率达到 0.8462、召回率达到 0.8684、F 值为 0.8571，表明了本文所提方法的有效性。
en-us	The experimental results show that the event detection model based on bursty words has the best effect when the intra-cluster similarity threshold is1. 1, the correct rate is as high as 0. 8462, the recall rate reaches 0. 8684, and the F value is 0. 8571, indicating the effectiveness of the proposed method.

zh-cn	近似计算技术通过降低电路输出精度实现电路功耗、面积、速度等方面的优化。
en-us	Approximate computing is a novel way in logic circuit design which offers the savings of the power, area and delay at cost of reduced accuracy.

zh-cn	本文针对 RM(Reed-Muller)逻辑中“异或”运算特点，提出了基于近似计算技术的适合 FPRM 逻辑的电路面积优化算法，
en-us	This paper focused on the fixed-polarity Reed-Muller(RM)functions area optimiza-tion by using approximate computing technique which is different from those used in traditional Boolean functions optimiza-tion in term of the characteristic of“XOR”in RM functions.

zh-cn	包括基于不相交运算的 RM 逻辑错误率计算方法，及在错误率约束下，有利于面积优化的近似 FPRM 函数搜索方法等。
en-us	The proposed algorithm mainly consists of the method of the error rate computing of RM functions using disjointed products and the approach of the approximate FPRM functions search-ing for less area under the given error rate constraint.

zh-cn	优化算法用MCNC (Microelectronics Center of North Carolina)电路进行测试。
en-us	The proposed algorithm is tested under MCNC(Microelectronics Centerof North Carolina)benchmarks.

zh-cn	实验结果表明，提出的算法可以处理输入变量个数为199 个的大电路，
en-us	The experimental results show that it can deal with the large function with 199 inputs.

zh-cn	在平均错误率为 5.7% 下，平均电路面积减少 62.0% ，
en-us	And by using the approximate computing technique, the average area can be reduced by 62. 0% with the average error rate of5. 7% .

zh-cn	并在实现面积优化的同时有利于实现电路的动态功耗的优化且对电路时延影响不大。
en-us	The proposed approximate computing technique based algorithm is also beneficial for dynamic power saving and has little effect on the delay while optimizing the area of a circuit.

zh-cn	当前，大部分农作物病害图像识别方法主要关注于精度而忽略了鲁棒性。
en-us	Most of current crop-disease recognition approaches mainly focus on improving the recognition accuracy onpublic datasets, while ignoring the recognition robustness.

zh-cn	在面向实际环境时，由于噪声干扰和环境因素影响导致识别精度不高。
en-us	When dealing with real-world recognition problem, the actual rec-ognition accuracy of those approach are often unsatisfactory because of noise interference and environmental influence.

zh-cn	为此提出了一种高阶残差和参数共享反馈的卷积神经网络模型以应用于实际环境农作物病害识别。
en-us	To address these issues, we propose a high-order residual and parameter-sharing feedback convolutional neural network(HORPSF)for crop-disease recognition.

zh-cn	其中，高阶残差子网络为病害表观提供丰富细致的特征表达，以提高模型识别精度;
en-us	The high-order residual subnetwork is helpful for improving the recognition accura-cy of crop disease.

zh-cn	参数共享反馈子网络用来进一步抑制原深层特征中的背景噪声，以提高模型的鲁棒性。
en-us	The parameter-sharing feedback subnetwork can effectively depress the background noises and enhance the robustness of the model.

zh-cn	实验结果表明，当面向实际环境农作物病害识别时，本文方法在识别精度和鲁棒性上均优于其他方法。
en-us	Extensive experiment results demonstrate that the proposed HORPSF approach significantly out-performs other competing methods in terms of recognition accuracy and robustness, especially demonstrating superior per-formance when dealing with the real-world examples of crop-disease recognition.

zh-cn	为平衡粒子群算法勘探与开发能力，本文提出混合均值中心反向学习粒子群优化算法。
en-us	In order to balance the exploration and exploitation of particle swarm optimization, this paper proposes ahybrid mean center opposition-based learning particle swarm optimization.

zh-cn	算法将所有粒子和部分优质粒子分别构造的均值中心进行贪心选择，得出的混合均值中心将对粒子所在区域进行精细搜索。
en-us	The algorithm performs greedy selection on the mean center of all particles and some high-quality particles respectively, and the obtained hybrid mean center will search the region in detail where the particles are located.

zh-cn	同时对混合均值中心进行反向学习，使粒子能探索更多新区域。
en-us	At the same time, the hybrid mean center is using opposition-based learning, so that the particles can explore more new regions.

zh-cn	将本文算法与最新改进的粒子群算法、人工蜂群算法和差分算法在多种测试函数集上进行比较，实验结果验证了混合均值中心反向学习策略的有效性，算法的综合优化性能更强。
en-us	The proposed algorithm are compared with the latest improved particles warm optimization, artificial bee colony algorithm and difference algorithm in various test function sets, and the results veri-fy the effectiveness of the hybrid mean center opposition-based learning and the overall optimization performance of the al-gorithm is stronger.

zh-cn	本文基于现代控制理论观点下的量测模型的能观测性分析，提出绝对时钟状态量测模型的能观测性问题。
en-us	Based on the observability analysis of the measurement model under the modern control theory, this paper proposes the observability problem of the absolute clock state measurement model.

zh-cn	启发于量测状态向量空间与状态向量运算法则，转化为本质上向量空间的同构映射原理，建立了以基本量测单元(Basic Measurement Unit，BMU)构建最小均方误差(Minimum Mean Square Error，MMSE)等价变换下的能观测性解耦量测模型。
en-us	It is inspired by measured state vector space and state vector algorithm, and transformed into the isomorphic mapping principle of vector space essentially. It establi-shes the minimum mean square error (MMSE)observable decoupling measurement model under equivalent transformation with basic measurement unit (BMU).

zh-cn	该方法揭示了在双向信息交换下对称量测性能的本质，在量测模型满足能观测性的必要条件下实现时钟状态追踪的 Kalman filtering 算法。
en-us	This method reveals the essence of symmetric measurement performance under two-way message exchange, and realizes Kalman filtering algorithm for clock state tracking under the necessary conditions that the measurement model satisfies the observability.

zh-cn	本文算法不依赖于优化的初始点设置，初始点选择具有鲁棒性，并且对于网络连接性的变化具有稳健性。
en-us	The proposed algorithm does not depend on the optimized initial point set-ting, the initial point selection is robust, and it is also robust to changes in network connectivity.

zh-cn	仿真结果表明，能观测性量测模型能实现规模化扩展，设计的算法具有局部和全局一致的 MMSE 量测性能，接近于贝叶斯 CRLB(Cramer-Rao Lower Bound)量测性能边界。
en-us	The simulation results show that the observable measurement model can achieve scale expansion, and the proposed algorithm has local and global uniformof MMSE measurement performance, which is close to the boundary of the Bayesian Cramer-Rao lower bound (CRLB)measurement performance.

zh-cn	在杂波纹理服从 Beta 分布的极化合成孔径雷达(Polarimetric Synthetic Aperture Radar，POLSAR)图像目标检测中，提出了一种基于多视极化白化滤波(Multilook Polarimetric Whitening Filter，MPWF)的恒虚警(Constant FalseAlarm Rate，CFAR)检测解析新方法。
en-us	A new constant false alarm rate (CFAR)detection analysis method based on multilook polarimetric whit-ening filter (MPWF)is proposed in polarimetric synthetic aperture radar (POLSAR)imagery when the clutter obeys Beta distributed texture hypothesis.

zh-cn	首先，假设乘积模型中纹理变量服从 Beta 分布，推导得到 MPWF 检测量的概率密度函数(Probability Density Function，PDF)。
en-us	Firstly, the texture variable in the product model obeys Beta distribution is assumed, and theprobability density function (PDF)of MPWF output is derived.

zh-cn	然后，对概率密度函数积分得到虚警概率关于检测门限的解析式，并设计相应的 CFAR 检测流程。
en-us	Then, the analytical formula of probability of false alarm(PFA)is obtained by integrating probability density function (PDF), and the corresponding CFAR process is designed.

zh-cn	最后，提出了基于 MPWF 的对数累积量估计方法，对 Beta 分布纹理变量参数 u 和 v 进行估计。
en-us	Fi-nally, a log-cumulants estimation method based on MPWF is proposed to estimate the texture parameters u and v of Beta dis-tribution.

zh-cn	通过实测数据验证了新方法的有效性。
en-us	The effectiveness of the new method is verified by simulation data and measured data.

zh-cn	实验结果表明 Beta 分布对某些区域的极化 SAR 数据有更好的拟合效果，
en-us	Simulation results show that Beta distribution has better goodness of fit on some regions in POLSAR images, and the new method has better CFAR per-formance compared with the existing methods.

zh-cn	同时新方法与已有方法相比具有更好的 CFAR 保持能力。
en-us	The embedded and measured data also show that the new method has betterdetection performances than the existing methods.

zh-cn	本文针对最优贝叶斯网络的结构学习问题，在动态规划算法(Dynamic Programming，DP)的基础上，使用 IAMB 算法(Incremental Association Markov Blanket，IAMB)计算得到的马尔科夫毯对评分计算过程进行约束，减少了评分的计算次数，提出了基于马尔科夫毯约束的动态规划算法(Dynamic Programming Constrained with Markov Blan-ket，DPCMB)，
en-us	To solve the problem about structure learning of optimal Bayesian network, this paper proposes dynamicprogramming constrained with Markov blanket (DPCMB), which uses Markov blanket calculated by incremental association Markov blanket (IAMB)to reduce the number of scoring calculations in dynamic programming.

zh-cn	研究了 IAMB 算法中重要性阈值对 DPCMB 算法的各项性能指标的影响，给出了调整阈值的合理建议。
en-us	We research on the effectof the significance value in IAMB on the performance indicators of DPCMB algorithm, and give reasonable suggestions foradjusting the significance value.

zh-cn	实验结果表明，DPCMB 算法可以通过调整重要性阈值，使该算法的精度与 DP 算法相当，极大地减少了算法的运行时间、评分计算次数和所需存储空间。
en-us	Experimental results show that the DPCMB algorithm can adjust the significance value sothat the accuracy of the algorithm is comparable to that of the DP algorithm, and running time, score calculation times, andmemory requirements of the algorithm are greatly reduced.

zh-cn	针对以相关谱最大值作为统计量对线性调频 /二相编码(LFM/BPSK，Linear Frequency Modulation/Bina-ry Phase Shift Keying)混合调制信号盲处理结果进行可信性检验时，存在概率密度函数复杂，难以得到似然比检验闭合表达式的问题，提出了一种基于极值分布理论(EVT，Extreme Value Theory)的简化处理算法。
en-us	In order to verify the confidence of the blind analysis result of the LFM /BPSK(Linear Frequency Modula-tion/Binary Phase Shift Keying)hybrid modulation signals by using the maximum value of the correlation spectrum, a sim-ple likelihood ratio algorithm based on extreme value theory is formulated in this paper, which can solve the problem causedby the complexity of the probability of the maximum statistic of the correlation spectrum when creating the likelihood ratiotest.

zh-cn	利用相关谱最大值的极限分布替代其精确分布，基于纽曼-皮尔逊(NP，Neyman-Pearson)准则得到简化的似然比检验，给出了相应判决式及其判决门限的解析表达式。
en-us	By replacing the asymptotic distribution of the exact distribution of the maximum statistic and using the NP criterion, the decision statistic and its corresponding threshold is derived. The asymptotic distribution of the maximum statistic under thetwo hypotheses are provided.

zh-cn	文中给出了不同假设下相关谱最大值的极限分布形式。计算机仿真结果表明:本算法与已有的恒虚警方法相当，但优于基于分组极值模型及超阈值模型的两种分布拟合检验法，且具有较低的计算复杂度。
en-us	The simulations show that the performance of the proposed algorithm is similar to the constant false alarm based algorithm, and is superior to the two goodness of fit test based algorithms that are formulated by the group extreme value and the peak over threshold models respectively.

zh-cn	针对周期式查询门限服务中流水线式调度效率低的问题，本文提出了一种并行优化门限服务轮询控制的系统服务资源调度策略。
en-us	Aiming at the problem of low efficiency of pipelined scheduling in system of periodic query gated service, this paper proposes a systematic service resource scheduling strategy based on parallel optimization gated service polling con-trol.

zh-cn	论文构建了轮询排队系统及其数学模型，先对系统状态变量的概率母函数求偏导得到一阶和二阶特性参数方程组，联立求解后推导出各个系统参数的完整数学解析表达式。
en-us	Firstly, the queuing system and its mathematical model are constructed. Moreover, after deriving the partial derivative of the probability generating function of the system state variables, the first and second order partial differential equations aresolved. Finally the complete mathematical analytic expressions of the system performance parameters are derived.

zh-cn	仿真实验结果和理论计算值相一致。
en-us	In this pa-per, the system is further verified by computer simulation experiments, and it is found that the statistical analysis results areconsistent with the theoretical analysis results.

zh-cn	系统性能分析表明，该系统的队长和时延特性均得到了较大的提高，能够更好的适应密集数据环境下时延敏感性数据的服务需求。
en-us	The performance analysis shows that the queuing length and waiting delay characteristics of the polling system have been greatly improved, which can better adapt to the service requirements of delay sensitive data in dense data environment.

zh-cn	基于信息几何的矩阵恒虚警率(Constant False Alarm Rate，CFAR)检测器为雷达目标检测问题提供了新的解决思路，其主要组成部分是均值矩阵的估计和检测统计量的计算，且检测性能与矩阵流形上的几何测度有紧密关系。
en-us	Information geometry based matrix CFAR (Constant False Alarm Rate)detector provides a way to the problem of radar target detection, which mainly consists of the estimation of mean matrix and the calculation of test statis-tics. The detection performance is closely related to the geometric measures on the matrix manifold.

zh-cn	现有的信息几何测度都是从 Frobenius 范数考虑，本文则基于谱范数考虑了矩阵流形上的几何测度和均值矩阵估计问题。
en-us	The existing geometricmeasures are considered from Frobenius norm. By contrast, this paper considers the geometric measure and the estimation of mean matrix by utilizing matrix spectral norm on matrix manifold.

zh-cn	将均值矩阵估计问题转化为矩阵流形上的优化问题，
en-us	The mean matrix estimation is transformed into the opti-mization problem on the matrix manifold.

zh-cn	根据目标函数的性质得到了计算简便的近似均值矩阵。
en-us	The approximate mean matrix with low computational complexity is obtained ac-cording to the properties of the objective function.

zh-cn	利用不同方法得到的均值矩阵，提出了几种新的基于谱范数的矩阵 CFAR 检测器。
en-us	In addition, we propose several matrix CFAR detectors based on different mean matrix estimation methods.

zh-cn	通过检测势分析和仿真实验验证了其检测性能优于现有的其他矩阵 CFAR 检测器，复杂度分析也表明了其计算复杂度低于现有的其他矩阵 CFAR检测器，为海杂波背景下的雷达目标检测提供了新的有效技术手段。
en-us	Finally, the detection power analysis and simulation results show that the detection perform-ance of the proposed methods with lower computational complexity are superior to other existing matrix CFAR detectors. It provides a new effective technique for radar target detection under sea clutter background.

zh-cn	协同过滤作为推荐系统核心技术，面临严重的评分数据稀疏性问题。
en-us	Collaborative filtering, as the core technology of recommendation systems, is currently facing the sparsityproblem of rating data.

zh-cn	融合物品文本信息可以有效的解决数据稀疏性问题，然而，目前的方法侧重于提取文本的单维特征，忽略了物品语义表示的多维特性。
en-us	This can be effectively solved through integrating item text information. However, current methods focus on extracting the one-dimensional features of the text, neglecting its multidimensional semantic features.

zh-cn	深度挖掘物品内容的多维特性可以更加精细化描述物品的语义信息，有助于提升推荐效果。
en-us	Digging deep-ly into the multidimensional semantic features of the text can improve the recommendations.

zh-cn	为此，本文提出基于胶囊网络的概率生成模型。
en-us	To help achieve this goal, aprobabilistic matrix factorization model based on multidimensional semantic representation learning is proposed in the present study.

zh-cn	模型利用胶囊网络挖掘文本的多维语义特征，并以正则化方式融入概率矩阵分解框架，建立用户与物品之间的内在关系。
en-us	The model uses a capsule network to mine the multidimensional semantic features of the text, and then integrates it in-to the probabilistic matrix decomposition framework using the regularization method to reveal hidden features linking usersand items.

zh-cn	实验结果表明本文提出的模型具有更高的评分预测精度。
en-us	Experimental results show that the proposed model has higher prediction accuracy.

zh-cn	遵循控制转发分离思想，软件定义无线传感器网络(Wireless Sensor Network，WSN)数据转发采用基于流的实现方式。
en-us	Following the idea of separation of control and forwarding, the data forwarding of software-defined WSN(Wireless Sensor Network)is implemented in a flow-based manner.

zh-cn	因此，软件定义 WSN 规则更新过程中节点行为可能违背网络属性一致性。
en-us	Therefore, nodes behavior during rule updating in soft-ware-defined WSN may violate network attribute consistency.

zh-cn	针对此，提出每包前向一致性概念，并证明其可保持所有网络属性的更新一致性。
en-us	Therefore, this paper proposes the concept of per-package for-warding consistency and proves that it can maintain the update consistency of all attributes.

zh-cn	在此基础上，通过引入缓存节点与缓存规则简化规则依赖关系，提出一种规则前向一致更新算法，在满足每包前向一致性的同时，支持规则快速并行更新。
en-us	On this basis, a rule forwardingconsistent update algorithm is proposed by introducing cache nodes and rules to simplify dependencies. The algorithm sup-ports fast parallel updates while satisfying the per-package forwarding consistency.

zh-cn	实验结果表明，算法在规则开销、更新时间和通信开销等关键性能指标上具有较为明显的优势。
en-us	The experimental results show that the al-gorithm has obvious advantages in the rule cost, update time and communication overhead.

zh-cn	由于盗版 Android 应用(Android Application，简称 APP)通常保持着与正版 APP 相似的用户体验，因此本文提出一种基于资源签名的 APP 相似性快速检测方法。
en-us	Since pirated Android applications (APPs for short)usually maintain a similar user experience to original APPs, a fast APP similarity detection approach based on resource signature has been proposed.

zh-cn	该方法将 APP 的资源签名视为字符串集合，利用计算任意一对 APP 资源签名集合的 Jaccard 系数判断两者的相似性。
en-us	In order to determine the sim-ilarity of a pair of APP, the approach calculates the Jaccard coefficient of resource signature sets of them because a set of re-source signatures can be treated as a set of strings.

zh-cn	为了避免遍历全部的 APP 对，该方法将 MinHash 和 LSH(Locality Sensitive Hashing)算法的思路引入其中，通过从 APP 集合中挑选候选对并对候选对进行检验的方式获得最终的检测结果。
en-us	With the help of the MinHash and LSH (Locality Sensitive Hashing)al-gorithm, it can avoid the traversal of all APP pairs by selecting candidate pairs from the APP set and verifying them at last.

zh-cn	由于挑选候选对的方式将大量相似性较低的 APP 对排除在外，因此该方法可以明显地提高 APP 相似性的检测速度。
en-us	Because the procedure of selecting candidate pairs excludes a large number of APP pairs with lower similarity, this approachcan significantly improve the detection speed of APP similarity.

zh-cn	实验结果表明，该方法的检测速度比现有方法 FSquaDRA 提高了大约 30 倍，而检测结果与 FSquaDRA 几乎完全相同。
en-us	The experimental results show that the detection speed of this approach is about 30 times higher than the existing approach FSquaDRA while the detection result is almost identical.

zh-cn	针对量测随机延迟下带厚尾过程噪声和量测噪声的非线性状态估计问题，本文通过充分考虑量测一步随机延迟特性及过程噪声和量测噪声的“厚尾”特性，推导了一种新的鲁棒 Student's t 滤波器框架，
en-us	Aiming at the nonlinear state estimation problem with heavy-tailed process measurement noise and random-ly delayed measurements, this paper deduces a new robust student＇s t filter framework by taking into one-step random delay characteristics and heavy-tailed characteristics of process noise and measurement noise account fully.

zh-cn	并采用随机Student's t-球面相径容积规则近似计算 Student's t 权值积分，从而设计了一种新的鲁棒 Student's t 随机容积滤波器。
en-us	Meanwhile, this paper proposes a new robust Student's t-based stochastic cubature filter(RSTCF)by approximately calculating the Student's tweight integral using stochastic Student's t-spherical radial cubature rule.

zh-cn	首先，采用一组服从伯努利分布的随机序列来描述系统中可能存在的量测一步随机延迟现象，并采用 Student's t 分布刻画过程噪声和量测噪声中存在的“厚尾”特性;
en-us	Firstly, this paper uses a set of stochastic sequences obeying the Bernoulli distribution to describe the possible one-step random delay phenomenon in the system, what's more, this paper also uses the student＇s t distribution to characterize the heavy-tailed characteristics of the process noise and meas-urement noise.

zh-cn	其次，从理论上证明了当自由度参数趋于无穷以及随机延迟概率为零时，该鲁棒 Student's t 滤波器就自动地降为标准的非线性高斯近似滤波器;
en-us	Secondly, it's theoretically proved that the robust Student＇s t filter automatically will be reduced to a standard nonlinear Gaussian approximation filter when the degrees of freedom in the posterior probability density function of the stateand measurement noise are increasing continuously and randomly delay probability is equal to zero.

zh-cn	最后，采用随机 Student's t-球面相径容积规则给出了一种新的鲁棒 Student's t 随机容积滤波器，并通过协同转弯模型验证了该滤波器的有效性和优越性。
en-us	Finally, this paper pres-entes a new robust Student's t-based stochastic cubature filter by use of stochastic Student's t-spherical radial cubature rule. The effectiveness and superiority of the filter are verified by the coordinated turn maneuvers model.

zh-cn	针对频率失配条件下受噪声影响导致相位差估计精度不高的问题，提出一种频率失配的自适应相位差无偏估计方法，提升相位差估计的精确性和抗噪性。
en-us	For the issue of low accuracy of phase difference estimation affected by the noise under the condition of frequency mismatch, an unbiased adaptive phase difference estimation method in the presence of frequency mismatch is pro-posed, which could improve the accuracy of phase difference estimation and enhance the ability of anti-noise.

zh-cn	为此，首先通过对两路正弦信号的展开式参数进行自适应估计，利用展开式参数估计值实时计算两路正弦信号的相位差;
en-us	Therefore, first-ly the expansion parameters of two sinusoidal signals are adaptive estimated, which is used to estimate the phase differencebetween two sinusoidal signals.

zh-cn	其次，利用泰勒级数展开式对相位差估计方法进行了估计偏差分析，证明了频率失配条件下所提相位差估计方法的无偏性，并给出了相位差估计方法的稳态性能;
en-us	Secondly, the deviation analysis of phase difference estimation is carried out by the expansionof Taylor series, the unbiased phase difference estimation with frequency mismatch is proved, and the performance of steady-state for phase difference estimation are also presented.

zh-cn	最后，给出了不同方法的相位差估计结果，并讨论了各参数对相位差估计的影响，计算结果表明所提方法的有效性与正确性。
en-us	Consequently, the phase difference estimation results of different methods are compared, the effect by different parameters are discussed, and the calculated results are provided to confirm the effectiveness and correctness of the proposed method.

zh-cn	量子全加器是量子计算机的基本单元，为了减少能耗，降低构造成本及物理实现难度，本文提出一种新型 n 位量子全加器，
en-us	Quantum full adder is the basic elements of quantum computers, in order to reduce the energy loss and cutthe construction cost and the difficulty of physical realization. The paper proposes a new type of n-bit quantum full adder

zh-cn	使用 3n 个 CNOT(Controlled NOT)门和 2n-1 个 Toffoli 门实现 n 位量子加减法，采用超前进位方式，不含进位输入，通过最高溢出标志位判断加法的进位和减法的正负号，标志位不参与高低位计算，不增加电路延时，适合 n 位量子并行计算。
en-us	which uses 3n CNOT(Controlled NOT)Gates and 2n-1 Toffoli gates to implement n-bit quantum addition and subtraction, adopts the carry look-ahead mode without carry input, and judges the carry of addition and positive and negative sign of sub-traction with the highest overflow mark bit that does not participate in the calculation of high and low bit, which does not in-crease time delay of the circuit and suits for n-bit quantum parallel operation.

zh-cn	随机生成 4、8、16 和 32 位数分别进行加减仿真操作，验证了全加器的正确性。
en-us	The simulation operation with random numberof 4, 8, 16 and 32 digits verifies the correctness of the full adder separately.

zh-cn	该全加器量子代价较低，结构简单，有利于提高集成电路规模和集成度。
en-us	The low quantum cost and simple circuit struc-ture of the quantum full adder is helpful to improve the size and integration of integrated circuits.

zh-cn	提出了一种基于二阶 Volterra 级数的语音信号非线性预测模型。
en-us	A type of nonlinear prediction model for speech signals based on second-order Volterra series is put for-ward.

zh-cn	为克服传统的最小均方(Least MeanSquare，LMS)算法在模型核系数更新时的固有缺点，引入耗散均匀搜索粒子群优化算法(Dissipative Uniform ParticleSwarm Optimization，DUPSO)求解核系数，
en-us	In order to overcome some intrinsic shortcomings caused by using the classic least mean square (LMS)algorithm toupdate Volterra model kernel coefficients, a dissipative uniform particle swarm optimization (DUPSO)algorithm is applied to obtain the kernel coefficients and then a DUPSO-SOVF prediction model can be constructed.

zh-cn	并构建了 DUPSO-SOVF 预测模型;为避免传统方法中相空间的重构过程，构建了隐相空间 DUPSO-SOVF 预测模型，在求解模型核系数时动态地求解出最优嵌入维数和延迟时间;
en-us	A DUPSO-SOVF predictionmodel with hidden phase space is constructed by dynamically obtaining parameters of embedding dimension and time delayin the process of solving model kernel coefficients rather than using traditional phase space reconstruction process.

zh-cn	为降低模型复杂度，在误差允许范围内进行模型关键项的提取，从而减少了核系数个数，构建了少参数的 DUPSO-RPSOVF(ReducedParameter SOVF，RPSOVF)预测模型。
en-us	On the purpose to reduce model complexity, the key model kernels are extracted within the margin of the allowable error and themodel kernels are then reduced, and the reduced parameter DUPSO-SOVF (RPSOVF)prediction model is proposed.

zh-cn	将英语音素、单词和短语作为实验样本数据进行仿真，结果表明:隐相空间 DUP-SO-SOVF 模型能够准确的计算出相空间重构参数，
en-us	Simu-lation results for samples of English phonemes, words and phrases show that, the DUPSO-SOVF model with hidden phase space can accurately calculate parameters of embedding dimension and delay time of phase space reconstruction;

zh-cn	DUPSO-SOVF 和 DUPSO-RPSOVF 两种预测模型对单帧和多帧语音信号均具有较高的预测精度，优于 PSO-SOVF 和 LMS-SOVF 预测模型，
en-us	both of theDUPSO-SOVF model and the DUPSO-RPSOVF model exhibit higher prediction accuracy on single frame and multi-framespeech signal than PSO-SOVF and LMS-SOVF models.

zh-cn	并且能够很好地反映语音序列变化的趋势和规律，可以满足语音序列预测的要求。
en-us	Also, the two proposed models can better reflect trends and regulari-ties of the speech signal series and meet requirements for speech signal prediction.

zh-cn	异质网络相似度学习，即分析两个不同类型对象间的相关程度。
en-us	Heterogeneous network similarity learning is to analyze the degree of correlation between two differenttypes of objects.

zh-cn	不同类型对象在异质网络中的重要程度不同，它们在相似度学习过程中的发挥的作用也不同。
en-us	Different types of objects have different degrees of importance in heterogeneous networks, and play differentroles in the similarity learning process.

zh-cn	针对异质网络，提出了一种基于节点影响力的相似度度量方法 NISim，
en-us	This paper proposes a node influence based similarity measure method (NISim)het-erogeneous information network.

zh-cn	该模型既考虑了网络中的链接结构，也保留了网络中的语义信息，同时区分不同类型节点对异质网络的作用。
en-us	This method not only considers the link structure in network but also keeps the semantic in-formation in heterogeneous networks. Also, this method distinguishes the effect to heterogeneous network brought by differ-ent types of nodes.

zh-cn	在异质信息网络环境下，通过启发式规则区分并量化不同类型节点的影响力权值，并结合网络链接结构和节点间语义关系，解决了提高相似度学习准确性的问题。
en-us	In heterogeneous network, the heuristic rules are used to distinguish and quantify the influence weight of different types of nodes. In addition, the link structure in network and the semantic relationship are combined to solve the problem of improving similarity learning accuracy.

zh-cn	实验结果表明，该方法能够有效地对异质信息网络不同类型节点进行相似度度量，可以应用在网络搜索、推荐系统以及知识图谱构建等不同领域。
en-us	Experimental results show that this method can measure the similarity be-tween different types of nodes effectively. It can be applied in different fields such as network search, recommendation sys-tem and knowledge graph construction and so on.

zh-cn	提出了一种主瓣灵巧干扰环境下的盲距离-角度联合估计方法，可有效对抗主瓣灵巧干扰(MainlobeSmart Jamming，MSJ)并提取目标回波的距离-角度联合参数信息。
en-us	A blind range-direction estimation method is proposed for suppressing the mainlobe smart jamming(MSJ). The proposed method can effectively suppress the MSJ and estimate the direction-distance parameter of the targe techo.

zh-cn	新方法首先利用阵元级数据进行盲源分离(BlindSource Separation，BSS)，分离目标回波和干扰，同时可得到信源混合矩阵的估计。
en-us	Firstly, the target and MSJ is separated by the blind source separation (BSS)algorithm with the element data, and the estimation of the mixed matrix can be obtained simultaneously.

zh-cn	然后根据主瓣灵巧干扰在某一角度上表现为多个回波信号，而目标只有一个回波这一先验信息来鉴别目标和主瓣灵巧干扰，由此可以估计目标的距离参数。
en-us	Secondly, according to the prior information that the MSJcontains multiple false target echoes in a certain direction, while the real target just contains one echo, we can determine the separated channel which contains the real target. In this way, the real target distance parameter can be estimated.

zh-cn	最后，由上述的鉴别结果得到对应目标的混合矩阵的列矢量，其包含了目标导向矢量信息，据此可估计目标的空间角度参数。
en-us	Finally, the mixed matrix column vector of the real target is obtained by the above judgement, which can be adopted to estimate the di-rection parameter of the real target.

zh-cn	仿真结果表明，新方法可以至少有效对抗 2 个主瓣灵巧干扰，且可同时得到较高的目标距离-角度估计精度。
en-us	Simulation results show that the proposed method can effectively suppress two MSJs atleast, and obtain good range-direction estimation performance at the same time.

zh-cn	另外，分析了目标输入信噪比、输入干噪比、目标与干扰的夹角、干扰空域个数对所提方法性能的影响，并给出了本文方法能够有效盲距离-角度联合估计的边界条件。
en-us	In addition, we analyze the effects of signal-to-noise ratio (SNR), interference-to-noise ratio (INR), the angle between the target and MSJ, and the MSJ number on theperformance of the proposed method . The corresponding boundary conditions are also given.

zh-cn	跨语言实体对齐旨在找到不同语言知识图谱中指向现实世界同一事物的实体。
en-us	Cross-lingual entity alignment aims to find entities in knowledge graphs of different languages that point to the same objects in the real world.

zh-cn	传统的跨语言实体对齐方法通常仅依靠知识图谱内部的结构信息，但实际上一些知识图谱提供的实体描述信息也可以被利用。
en-us	Traditional cross-lingual entity alignment methods usually rely solely on the internal struc-ture information of the knowledge graph, but in fact entity description information provided by some knowledge graphs can also be utilized.

zh-cn	本文提出了一种结合知识图谱的内部结构和实体描述信息共同进行跨语言实体对齐的模型。
en-us	This paper proposes an entity alignment model that combines the internal structure information of the knowl-edge graph with the entity description information for cross-lingual entity alignment.

zh-cn	该模型首先通过训练基于知识图谱结构信息的知识向量找到可能被对齐的实体对，再结合实体描述信息利用改进后的共享参数模型选出最终的对齐实体，
en-us	The model first finds the entity pairs that may be aligned by training the knowledge embeddings based on the structure information of the knowledge graph, and then uses entity descriptions to select the final aligned entity pairs based on the improved optimal alignment similarity mod-el.

zh-cn	最后通过迭代对齐的方法重复前两个步骤找到更多的对齐实体直到训练结束。
en-us	Finally, the model iteratively align the first two steps to find more aligned entity pairs until the end of the training.

zh-cn	实验结果表明，与基准算法相比，本文所提模型在跨语言实体对齐任务上可以取得相对不错的结果。
en-us	The ex-perimental results show that compared with the benchmark algorithms, the proposed model can achieve relatively good resultsin cross-lingual entity alignment task.

zh-cn	无证书签名具有基于身份密码体制和传统公钥密码体制的优点，可解决复杂的公钥证书管理和密钥托管问题。
en-us	Certificateless signature combines the advantages of identity-based cryptosystem and traditional public-keycryptosystem to solve the problems of complex public key certificate management and key escrow.

zh-cn	Wu 和 Jing 提出了一种强不可伪造的无证书签名方案，其安全性不依赖于理想的随机预言机。
en-us	Wu and Jing proposed astrongly unforgeable certificateless signature scheme whose security does not depend on the ideal random oracle.

zh-cn	针对该方案的安全性，提出了两类伪造攻击。
en-us	In this pa-per, two types of forgery attacks are proposed for the security of this scheme.

zh-cn	分析结果表明，该方案无法实现强不可伪造性，并在“malicious-but-passive”的密钥生成中心攻击下也是不安全的。
en-us	The analysis results show that this scheme can-not achieve strong unforgeability and is insecure under the " malicious-but-passive" key generation center attack.

zh-cn	为了提升该方案的安全性，设计了一个改进的无证书签名方案。
en-us	To enhancethe security of this scheme, an improved certificateless signature scheme is presented.

zh-cn	在标准模型中证明了改进的方案对于适应性选择消息攻击是强不可伪造的，还能抵抗恶意的密钥生成中心攻击。
en-us	The improved scheme is proved to bestrongly unforgeable against adaptive chosen-message attacks and can also resist malicious key generation center attacks.

zh-cn	此外，改进的方案具有较低的计算开销和较短的私钥长度，可应用于区块链、车联网、无线体域网等领域。
en-us	In addition, the improved scheme has lower computational overhead and shorter private key length, and can be applied to block-chain, Internet of vehicles, wireless body area network and other fields.

zh-cn	视频监控、备份、归档等应用产生海量存储数据，导致存储能耗急剧增加。
en-us	The applications, such as video surveillance, backup, and archiving, generate massive storage data, which make the energy consumption of storage devices increase rapidly.

zh-cn	S-RAID 采用局部并行数据布局，可显著降低该类应用的存储能耗。为使更多磁盘待机节能，S-RAID 通常执行“小写”操作，写操作时会额外引入等量的读操作，会显著降低性能。
en-us	S-RAID can reduce the storage energy consumption of a-bove applications significantly. In order to make more disks standby for energy saving, S-RAID prefers to small write. How-ever, performing small write requires additional and equal amount of read operations for generating parity data, and the write performance of S-RAID is decreased.

zh-cn	现有预读机制主要发生在文件级，无法感知 RAID 级小写引发的读旧数据、旧校验数据等读操作，因此不会也无法预读该类数据。
en-us	The existing prefetching mechanism mainly implements at the file system level, and cannot sense the read operations generated by small write at RAID level, such as reading old data and reading old parity.

zh-cn	为此，提出一种面向 S-RAID 的 RAID 级小写预读算法，由小写操作触发并在 RAID 级执行预读，根据 S-RAID 的数据布局方式，大粒度异步预读小写需要的旧数据、旧校验数据，有效减少 I/O数和寻道数，提高磁盘的利用率。
en-us	Soit can not prefetch these old data and old parity data. Therefore, a RAID-level prefetching algorithm for small write of S-RAID is proposed, which is triggered by small write operations and performs at RAID level. It asynchronously prefetches theold data and old parity data required by small writes in large granularity according to the data layout of S-RAID.

zh-cn	该方法可显著提高 S-RAID 的写性能，并且不依赖于任何额外硬件，具有更高的可用性。
en-us	The write performance of S-RAID can be improved by about 40% without any additional hardware cost.

zh-cn	受限玻尔兹曼机(Restricted Boltzmann Machine，RBM)是一种随机网络、概率图模型，它是一种比较有效的的无监督学习模型。
en-us	Restricted Boltzmann machine (RBM )is a stochastic neural network and probabilistic graphical model, which is one of the most effective models without supervision in deep learning.

zh-cn	针对 RBM 梯度近似的一种计算方法对动量加速不敏感，以及识别效果不理想等问题，本文提出一种基于修正动量的 RBM 算法。
en-us	Focusing on the gradient approximation algo-rithm insensitivity to the momentum acceleration and recognition effectiveness in RBM, we propose the algorithm based onmodified momentum using RBM.

zh-cn	该算法结合 RBM 梯度近似方法，通过修改隐单元偏置参数的更新方式，避免 RBM模型中隐单元取值采用概率值时导致模型识别效果不理想、动量加速有限等问题。
en-us	When the rule to update the hidden states adopts the probability value instead of sampling abinary value, this calculation method for the RBM gradient approximation leads to the undesirable recognition performance andlimited momentum acceleration. Therefore, we modify the updating rule of the hidden bias to avoid these problems.

zh-cn	同时，在 RBM 预训练阶段采用快速上升的动量方式，以加速网络收敛;
en-us	Simultane-ously, we use the rapidly ascending momentum method to improve the learning speed in the RBM pre-training phase.

zh-cn	在微调阶段引入缓慢下降的动量项，以避免陷入局部最优点并提高识别效果。
en-us	An im-proved slowly descending momentum method is also used in the fine-tuning stage to accurately find the best point, which is far from becoming trapped in poor local optima and improves the classification effect.

zh-cn	本文算法通过在 MNIST 手写数字体，Extended Yale B 和 CMU-PIE 人脸数据库上的数值实验结果表明，提出的算法能够有效地提高计算效率和提高网络泛化能力。
en-us	Through the recognition experiments onMNIST dataset, Extended Yale B and CMU-PIE face dataset, the achieved results show that the proposed algorithm can en-hance the computation efficiency and improve the generalization ability of networks.

zh-cn	该算法不仅对 RBM 的应用领域扩展具有十分积极的实际意义，且为深度学习的应用方法提供一种新的研究思路和借鉴。
en-us	The algorithm not only extends the appli-cation fields of RBM, but also provides a new research idea and reference for the application method of deep learning.

zh-cn	参数化协方差矩阵估计(Parametric Covariance Matrix Estimation，PCE)方法利用雷达系统参数估计杂波协方差矩阵(Clutter Covariance Matrix，CCM)，显著提升非均匀环境下空时自适应处理(Space-Time Adaptive Processing，STAP)的性能;
en-us	The parametric covariance matrix estimation (PCE)method uses the system parameters to estimate theclutter covariance matrix (CCM ). It can greatly improve the performance of space-time adaptive processing (STAP)in nonhomogeneous environment.

zh-cn	但是在系统参数和杂波分布存在误差情况下，性能下降严重。
en-us	However, the performance of PCE method is seriously degraded when the system parameter information or clutter distribution is in error.

zh-cn	本文提出一种稳健的基于 PCE 方法的STAP 杂波抑制方法。
en-us	This paper presents a robust parametric covariance matrix estimation basedSTAP method.

zh-cn	首先利用稀疏恢复方法与 Radon 变换估计杂波分布，
en-us	First the clutter distribution is estimated by the sparse recovery (SR)and Radon transform.

zh-cn	然后提出一种归一化广义内积统计量修正杂波的分布，
en-us	Then a normal-ized generalized inner product statistic (N-GIP)is proposed to modify the clutter distribution parameters.

zh-cn	最后利用 PCE 方法估计 CCM 并进行 STAP 杂波抑制。
en-us	Finally, the PCEmethod is utilized to estimate the CCM and the STAP is used to suppress clutter.

zh-cn	通过分析舰载高频地波雷达仿真和实测数据处理结果表明:所提方法的稳健性大幅提升，
en-us	The simulation experiments and measureddata processing results show that the robustness of the proposed method is greatly improved.

zh-cn	相比稀疏恢复 STAP 方法和前后向空时平滑 STAP 方法滤波器凹口更加准确且更深，在有效抑制杂波的同时更利于慢速目标的检测。
en-us	Compared with the sparse re-covery STAP (SR STAP)and forward/backward smoothing STAP (F/B STAP), the filter notches are more accurate and deeper. This benefits the detection of slow targets.

zh-cn	针对高速移动环境下信道快时变、非平稳特性导致下行链路信道估计性能受限的问题，本文提出一种基于深度学习的信道估计网络，即 ChanEstNet。
en-us	Aiming at the problem that the downlink channel estimation performance is limited due to the fast time-va-rying and non-stationary characteristics in the high-speed mobile environment, this paper proposes a channel estimation net-work based on deep learning, called ChanEstNet.

zh-cn	ChanEstNet 使用卷积神经网络(Convolutional Neural Network，CNN)提取信道响应特征矢量和循环神经网络(Recurrent Neural Network，RNN)进行信道估计。
en-us	ChanEstNet uses the convolutional neural network (CNN)to extract chan-nel response feature vectors and recurrent neural network (RNN)for channel estimation.

zh-cn	我们利用标准的高速信道数据对学习网络进行离线训练，充分挖掘训练样本中的信道信息，使其学习到高速移动环境下信道快时变和非平稳的特点，更好的跟踪高速环境下信道的变化特征。
en-us	We use the standard high-speed channel data to conduct offline training for the learning network, fully excavate the channel information in the training sam-ple, make it learn the characteristics of fast time-varying and non-stationary channels in high-speed mobile environments, and better track the characteristics of channel changing in high-speed environment.

zh-cn	仿真结果表明，在高速移动环境下，与传统方法相比，所提信道估计方法计算复杂度低，性能提升明显。
en-us	The simulation results show that in the high-speed mobile environment, compared with the traditional methods, the proposed channel estimation method has low computa-tional complexity and significant performance improvement.

zh-cn	无线电资源交易发生在 MTC 网关(MTC Gateway MTCG)和 LTE 用户之间。
en-us	The radio resources trading happened between the MTCGs and the LTE users.

zh-cn	根据基于联盟区块链的空闲无线电资源交易来建立 MTCG 之间的信用度。
en-us	The credit degrees are built among the MTCGs according to the free radio resources trading based on the consortium blockchain.

zh-cn	在多个授权的本地基站(Base Station BS)上建立了一个联盟区块链，用于公开审计和共享交易记录。
en-us	A consortium block-chain has been established on the BSs for publicly auditing and sharing of transaction records without depending on the trus-ted third parties.

zh-cn	资源交易记录在加密后上传到 BS。
en-us	The resource transaction records are uploaded to the BS after encryption.

zh-cn	在交易记录通过审查和共识过程之后，新区块被存储在 BS 上，并且可以由 MTCG，LTE 用户和连接到联盟区块链的 BS 进行公开访问。
en-us	After the transaction records passthe review and consensus process, the new blocks are stored on the BSs that can be accessed publicly by MTCGs, LTE usersand the BSs connected to the consortium blockchain.

zh-cn	为了最大化系统的利益，支持频繁的资源交易，提出了一种基于信用贷款的支付方案，并给出了相应的最优定价策略。
en-us	In order to maximize the benefits of the system and support frequent re-source transactions, a credit-based payment scheme and the corresponding optimal pricing strategy are proposed.

zh-cn	为提高胶质母细胞瘤(GBM)多模态磁共振(MR)图像中各肿瘤子区域分割的准确性，提出一种多分类卷积神经网络(CNN)的 GBM 多模态 MR 图像自动分割算法。
en-us	To improve the accuracy of segmenting the tumor sub-regions in glioblastoma multiforme (GBM)multi-modal magnetic resonance (MR)images, a GBM multi-modal MR images automatic segmentation algorithm is proposed byusing multi-class convolution neural network (CNN).

zh-cn	首先在 98% 缩尾处理和配准 GBM 多模态 MR 图像后，利用 N4ITK 法校正偏移场;
en-us	Firstly, after 98% winsorization and registration for the GBM multi-modal MR images, the bias field was corrected by using the N4ITK method.

zh-cn	其次构建一个主要由 4 个卷积层、2 个池化层和 2 个全连接层组成的多分类 CNN 模型，训练后预分割 GBM 多模态 MR 图像，将体素分为 5 类不同的标签;
en-us	Secondly, a multi-class CNN model mainly con-sisting of four convolutional layers, two pooling layers and two fully connected layers was constructed;the GBM multi-modalMR images were pre-segmented after training, and voxels were classified into five different labels.

zh-cn	最后移除所有小于 200 体素的假阳性区域，中值滤波后获得最终分割结果。
en-us	Finally, all false positive regions smaller than 200 voxels were removed, and the final segmentation results were obtained by median filtering.

zh-cn	以 Dice 相似性系数 DSC、阳性预测值 PPV 和平均 Hausdorff 距离 AHD 为评价指标，利用所提出的算法对 F-C-GBM 数据集中整个肿瘤组织进行分割，获得的 DSC、PPV、AHD 分别为 0.889 ± 0.087、0.859 ± 0.127 和1.923。
en-us	TheDice similarity coefficient DSC, positive predictive value PPV and average Hausdorff distance AHD were adopted as the e-valuation index, and the DSC, PPV as well as AHD were 0. 889 ± 0. 087, 0. 859 ± 0. 127 and 1. 923 for segmenting the entiretumor tissues in F-C-GBM dataset by the proposed algorithm, respectively.

zh-cn	结果表明，该算法能有效提高 GBM 多模态 MR 图像分割的性能，可望有临床应用前景。
en-us	Results indicate that the proposed method can ef-fectively improve the performance in the segmentation of the GBM multi-modal MR images and may be expected to have clinical application prospects.

zh-cn	针对智能交互界面中手势识别错误导致交互界面变化错误和手势不识别两个基本问题，本文设计并实现了基于手势交互的智能教学界面，该系统可以通过获取教师的手势信息与教师进行交互。
en-us	Aiming at the two basic problems, the error of interface interaction caused by hand gesture recognition errors and gesture non-recognition error, the intelligent teaching interface based on gesture interaction is designed and implemented. And the system can interact with the teacher by obtaining the gesture information of the teacher.

zh-cn	主要创新点在于提出了多种手势对应同一语义的柔性映射交互算法。
en-us	The main innovation of this paper is to propose a flexible mapping interaction algorithm with multiple gestures mapping to the onesemantic.

zh-cn	本文选取了 14 种自然交互手势，分析了对应同一语义的多种手势之间的共同特征。
en-us	The paper selects fourteen kinds of natural interactive gesture, and analyzes the common characteristics of va-rious gestures mapping to the one semantic.

zh-cn	实验结果显示，该算法能够有效降低用户负荷。
en-us	The experimental results show that the proposed algorithm can effectively reduce the users'burden.

zh-cn	该算法已经用于一个基于手势交互的智能教学系统界面中。
en-us	The algorithm has been used in an intelligent teaching system interface based on gesture inter-action.

zh-cn	在频分双工大规模多输入多输出系统中，基于压缩感知的信道状态信息(CSI，channel state information)反馈方法因正确重构 CSI 小幅度元素的支撑集合造成巨大的反馈开销。
en-us	In a frequency division duplex (FDD)massive multiple input multiple output (MIMO)system, the com-pressed sensing (CS)-based channel state information (CSI)feedback methods cause a significant feedback overhead, dueto the correct reconstruction of the support-set for the small magnitude elements of CSI.

zh-cn	为降低基于压缩感知的 CSI 反馈的开销，提出一种部分支撑集辅助的压缩感知 CSI 反馈方法。提出方法将 CSI 的一部分小幅度元素的支撑集与压缩 CSI 一同反馈回基站。
en-us	To reduce the feedback overhead, a CS-based CSI feedback scheme assisted by partial support-set is proposed in this paper, where the partial support-set of small magnitude elements and the compressed CSI are fed back to the base station (BS)together.

zh-cn	基站无需重构反馈回基站的 CSI 小幅度元素的支撑集，压缩 CSI 所需的测量次数(反馈开销)得以极大降低。
en-us	Since the BS does not need torecover the support-set of small magnitude elements, the measurement requirement (i. e. , the feedback overhead)to com-press the CSI is greatly reduced.

zh-cn	分析与仿真结果表明，相对于传统的基于 CS 的 CSI 反馈方法，提出方法在确保 CSI 重构精度与可达和速率情况下，能有效降低 CSI 反馈开销和 CSI 重构的计算复杂度。
en-us	Compared with the conventional CS-based CSI feedback, the analysis and simulation results show that the proposed method can reduce CSI feedback overhead and computation complexity of CSI reconstruction, while guaranteeing the CSI recovery accuracy and achievable sum-rate.

zh-cn	高空核爆电磁脉冲会通过管道的耦合作用，对各种电子设备和系统造成严重的影响和破坏。
en-us	High-altitude electromagnetic pulse may cause damage to electronic equipments through coupling pipeline system.

zh-cn	为了研究高空核爆电磁脉冲对架空管道的影响，首先通过麦克斯韦方程给出了高空核爆电磁脉冲对架空管道的耦合方程，
en-us	In order to study the effects of high-altitude electromagnetic pulse on overhead pipeline, the electromagnetic field-to-overhead pipeline coupling equations are derived from Maxwell's equations.

zh-cn	然后应用格林函数法求解微分方程得到管道上感应电流和电压的频域表达式，再应用傅里叶反变换得到电流和电压的时域波形。
en-us	The coupling equations are solved in frequency domain by applying the Green's functions, and the time-domain waveforms of induced currents and voltages are obtained byusing inverse Fourier transform.

zh-cn	最后计算了基于 IEC 标准波形的高空核爆电磁脉冲 E2部分作用下架空管道的感应电流和电压。
en-us	Finally, the currents and voltages on the pipeline induced by intermediate-time HEMP(E2)based on IEC standard waveform are calculated.

zh-cn	解决基于单个原子钟的系统频率准确度难以突破 10－ 12量级，基于多基准时钟合成算法的系统无法同时显著改善时钟的长期稳定性和短期稳定性，难以满足未来诸多领域超高精度时钟同步需求的问题，
en-us	The system frequency accuracy based on a single atomic clock is difficult to break through 10－ 12level, andthe system based on multi-reference clock synthesis algorithm can't significantly improve the long-term stability and short-term stability of the clock at the same time, which is difficult to meet the requirements of ultra-high precision clock synchro-nization in many fields in the future.

zh-cn	本文将多基准时钟合成算法和神经网络算法相结合，提出一种基于误差逆传播算法神经网络(BP 神经网络)的本地多基准时钟合成算法，可以同时改善时钟源的短期和长期稳定性。
en-us	Combined with neural network algorithm, a local multi-reference clock synthesis algo-rithm based on back-propagation neural network (BP neural network)is proposed, which can improve the short-term and long-term stability of clock source at the same time.

zh-cn	随着物联网和体域网的飞速发展，人体运动追踪技术在医疗、安防等领域得到了广泛应用。
en-us	With the rapid development of the Internet of things and the body area network, the human motion trackingtechnology has been widely used in medical, security and many other fields.

zh-cn	针对传统惯性人体运动追踪系统存在累积误差和漂移的问题，本文提出了一种基于 IMU/TOA 融合的人体运动追踪方法。
en-us	A human motion tracking method based onIMU /TOA fusion is proposed to solve the problem of error accumulation and drift in a single IMU human motion tracking system.

zh-cn	通过对融合系统克拉美罗界(Cramer-Rao Lower Bound，CRLB)的推导，从理论上证明了 IMU/TOA 融合方法的有效性。
en-us	On this basis, the effectiveness of IMU /TOA fusion method is proved theoretically by deducing the cramer-rao lowerbound (CRLB)of fusion system.

zh-cn	实验结果可以看出，本文提出的基于 IMU/TOA 融合的人体运动追踪方法，在空间性能和时间性能两个方面都有较大的提升。
en-us	The experimental results show that the proposed human motion tracking method based onIMU /TOA fusion has great improvement in both spatial and temporal performance.

zh-cn	Galileo 系统在 E1 频点采用 Interplex 调制方式播发导航信号，由于缺乏 E1 信号功率分配和伪码序列等先验信息，一般的研究人员只能开展有限的信号质量特性研究。
en-us	Galileo system uses Interplex modulation to broadcast navigation signals at the E1 frequency. Due to thelack of prior information such as E1 signal power allocation and pseudo-code sequences, researchers can only carry out limit-ed signal quality characteristics studies.

zh-cn	针对该问题，提出一套基于高增益天线的空间信号质量评估方法，实现了 E1 授权信号的解析，完善了 E1 信号评估体系。
en-us	Aiming at this problem, this paper proposes a signal-in-space quality assess mentmethod based on high gain antenna, which realizes the analysis of E1 authorization signal and perfects the E1 signal evalua-tion system.

zh-cn	运用相关功率法来解决信号分量功率比问题，采用跟踪结果解决相位偏差估计问题，提出加权组合平均和码相位平均相结合的新型时域波形分离方法，
en-us	The related power method is proposed to solve the signal component power ratio problem. The tracking result isused to solve the phase deviation estimation problem. A new time domain waveform separation method combining weightedcombination averaging and code phase averaging is proposed,

zh-cn	克服了电文和码多普勒对时域波形特性评估的影响，采用 S 曲线过零点偏差(S-curve offset Biases，SCB)等参数进行信号测距偏差定量评估。
en-us	which overcomes the influence of message and code Doppleron time domain waveform characteristics evaluation. The S-curve offset Biases (SCB)parameters are used to quantitatively evaluate the signal ranging deviation.

zh-cn	通过该方法对 Galileo GSAT-0214 卫星进行了评估，
en-us	In this paper, the Galileo GSAT-0214 satellite is evaluated by this method.

zh-cn	结果显示:该卫星 E1 各信号分量 SCB 小于 0.2ns，测距性能优异，
en-us	The results show that the signal component SCB of E1 is less than 0. 2 ns, and the ranging performance is excellent.

zh-cn	其复用效率达到了 97.8% ，优于 GPS L1 信号和北斗三号系统(BDS-3)B1 信号。
en-us	The multiplexing ef-ficiency is 97. 8% , which is better than GPS L1 signal and BOS-3 system B1 signal.

zh-cn	为解决传统一类支持向量机对噪声数据敏感和不适用于大规模分类等问题，提出了用于大规模噪声环境的基于简约凸壳的一类模糊支持向量机(OC-FSVM-RCH)。
en-us	The traditional one-class support vector machines are sensitive to noise data and not suitable for large-scaleclassification. In order to solve the problem, a novel one-class fuzzy support vector machine based on reduced convex hullcalled OC-FSVM-RCH is proposed for large-scale noise data classification.

zh-cn	OC-FSVM-RCH 根据简约凸壳的定义在核空间得到代表正常类数据几何特征的样本，
en-us	According to the reduced convex hull, OC-FS-VM-RCH obtains the samples representing the geometric characteristics of normal class data in the kernel space.

zh-cn	然后基于改进的模糊支持向量域描述算法，使得正常类数据包含在最小超球内，异常数据与超球间隔最大化。
en-us	Then OC-FSVM-RCH improves the fuzzy support vector domain description algorithm, in which normal class data is enclosed in thesmallest hypersphere, and the margin between abnormal class data and hypersphere is maximized.

zh-cn	OC-FSVM-RCH 剔除正常类数据轮廓边缘处的噪声，同时对数据内部的噪声不敏感。
en-us	OC-FSVM-RCH can elim-inate the noise at the edge of normal data contour and is insensitive to the noise inside the normal data.

zh-cn	实验结果表明了所提算法在性能和训练时间上取得了良好的效果。
en-us	Experimental results show that the proposed algorithm achieves good results in terms of performance and training time.

zh-cn	现有行为识别方法在未能持续覆盖造成视频监控盲区所引起行为数据缺失的情况，难以有效实施特征分析、行为分类补全，无法准确识别出智能体完整的行为动作序列。
en-us	Currently, action recognition methods can hardly carry out feature analysis, behavior classification, and ac-tion completion, and are incapable of accurately identifying the complete behavioral action sequence of intelligent agent forthe discontinuous and incomplete motion capture, behavioral data missing or even broken in the time dimension, which are resulted from sensor device not being continuous coverage caused by the monitoring blind area.

zh-cn	为此，本文提出一种基于深度学习和智能规划的行为识别方法。
en-us	In this regard, we put for-ward a method of action recognition based on deep learning and artificial intelligence planning.

zh-cn	首先，利用深度残差网络对图像进行分类训练，然后使用递归神经网络对图像特征进行提取深度信息以增强分类效果;
en-us	Firstly, a deep learning net-work is constructed, by which the image is classified and trained using DRN(Deep Residual Network). After that, the ex-traction depth information of image frame feature for recurrent neural network is trained to enhance the classification effect.

zh-cn	其次，运用智能规划的 STRIPS(Stanford Research Institute Problem Solver)模型，将深度学习提取的图像特征命题信息转化为规划领域的模型描述文档，并使用前向状态空间搜索规划器推导出完整的行为动作序列。
en-us	Secondly, the STRIPS(Stanford Research Institute Problem Solver)planning model is used to extract the image feature ofdeep learning, transforming into the description document for domain model, which facilitates deriving the optimal planning solution by means of forward state-space search planner.

zh-cn	在HMDB51 等行为识别公共数据集中，本方法与生成式对抗网络、深度卷积逆向图网络、深度信念网络、支持向量机等同类先进方法相比展现出更好的性能。
en-us	In the experiment, we exhibit that our method outperforms baselines in the public datasets, e. g. , DCIGN(Deep Convolutional Inverse Graphics Networks), GAN(Generative Adversarial Net-works), DBN(Deep Belief Networks), and SVM(Support Vector Machine).

zh-cn	针对当前聚类方法(例如经典的 GN 算法)计算复杂度过高、难以适用于大规模图的聚类问题，本文首先对大规模图的采样算法展开研究，提出了能够有效保持原始图聚类结构的图采样算法(Clustering-structure Repre-sentative Sampling，CRS)，它能在采样图中产生高质量的聚类代表点，并根据相应的扩张准则进行采样扩张。
en-us	Since computational complexities of the existing methods such as classic GN algorithm are too costly tocluster large-scale graphs, this paper studies sampling algorithms of large-scale graphs, and proposes a clustering-structure representative sampling (CRS)which can effectively maintain the clustering structure of original graphs.

zh-cn	此采样算法能够很好地保持原始图的内在聚类结构。
en-us	It can produce highquality clustering-representative nodes in samples and expand according to the corresponding expansion criteria.

zh-cn	其次，提出快速的整体样本聚类推断(Population Clustering Inference，PCI)算法，它利用采样子图的聚类标签对整体图的聚类结构进行推断。
en-us	Then, wepropose a fast population clustering inference (PCI)method on the original graphs and deduce clustering assignments of the population using the clustering labels of the sampled subgraph.

zh-cn	实验结果表明本文算法对大规模图数据具有较高的聚类质量和处理效率，能够很好地完成大规模图的聚类任务。
en-us	Experiment results show that in comparison with state-of-the-art methods, the proposed algorithm achieves better efficiency as well as clustering accuracy on large-scale graphs.

zh-cn	关于面部表情识别的应用也正在渗透至各个领域，如安全驾驶、商品销售、临床医学等等。
en-us	Till now, facial expression recognition has been successfully applied to va-rious fields such as safe driving, merchandise sales, clinical medicine, and so on.

zh-cn	本文对面部表情识别相关技术进行研究，
en-us	This thesis explores key techniques relatedto facial expression recognition.

zh-cn	主要工作及贡献如下:
en-us	The main work and contributions are as follows.

zh-cn	研究非约束条件下人脸动态表情识别，提出了一种基于多视觉描述子及音频特征融合策略的动态表情识别算法。借助多视觉描述子的空时局部特征描述实现动态表情特征的提取;
en-us	A dynamic facial expression recognition al-gorithm based on multi-visual descriptors and audio features is proposed under unrestricted conditions, in which dynamic fa-cial feature extraction was conducted based on local spatial-temporal feature representation via multi-visual descriptors.

zh-cn	而视频、音频特征的融合策略改善了表情识别性能。
en-us	Fur-thermore, the combination of video and audio features improves the recognition performance.

zh-cn	基于协方差矩阵及时间轴分段的动态规整，有效地解决了具有不同时长的动态表情序列的样本描述。
en-us	Dynamic time warping basedon timeline segmentation and covariance matrix proves to be effective in analyzing dynamic expression sequences of differenttime duration.

zh-cn	为进一步改善表情识别模型的泛化性能，本文引入了基于多个体识别模型加权投票的集成识别模型。
en-us	To improve the generalization performance of facial expression recognition model, an integrated decision-mak-ing strategy based on weight voting by multiple individual recognition models is introduced.

zh-cn	针对投票过程中的权值学习，提出了基于随机重采样的投票权重学习以及基于个体分类模型相对优势的投票权重学习方法。
en-us	In order to effectively learning the weight for each individual recognition model, the method of voting weight learning by random re-sampling and the meth-od of voting learning based on comparative advantages of individual recognition model are proposed.

zh-cn	集成决策进一步改善了表情识别性能。
en-us	Finally the above en-semble model is applied and the recognition performance is further improved.

zh-cn	基于 AFEW5.0 的动态表情库实验验证了算法的有效性。
en-us	Experiments on AFEW5. 0 dataset validate theperformance of the proposed dynamic facial expression algorithm.

zh-cn	实体关系抽取是知识库构建中至关重要的一个环节。
en-us	Entity relation extraction is a crucial part of knowledge base construction.

zh-cn	在众多的实体关系抽取方法中，远程监督结合神经网络模型的方法在准确率等性能上是比较令人满意的，
en-us	Among many methods of rela-tionship extraction, the method of distant supervision combined with neural network model is satisfactory in terms of accura-cy and other performance.

zh-cn	但远程监督获取的标注语料中往往存在大量的噪声数据，给实体关系抽取模型的训练带来了很大的影响。
en-us	However, there is often a large amount of noise data in the labeled corpus obtained by distant su-pervision, which has a great impact on the training of relationship extraction model.

zh-cn	本文提出一种基于改进注意力机制的卷积神经网络实体关系抽取模型。
en-us	In this paper, we propose an entity rela-tionship extraction model of convolutional neural network based on improved attention mechanism.

zh-cn	该模型针对包含同一实体对的句子集合，从中尽可能地找出所有体现该实体对关系的正实例，构建组合句子向量，抛弃可能的噪声句子，从而最大程度地降低噪声句子的影响又能充分利用正实例的语义信息。
en-us	Aiming at the sentenceset containing the same entity pair, this model tries to find out all the positive instances that embody the relationship betweenthe entity pair, construct the combined sentence vector, and discard the possible noise sentences, so as to minimize the impactof noise sentences and make full use of the semantic information of positive instances.

zh-cn	实验证明，本文提出的关系抽取模型在准确率上优于对比的关系抽取模型。
en-us	Experimental results show that the ac-curacy of the proposed relation extraction model is better than that of the comparative relation extraction model.

zh-cn	绝缘体上硅(Silicon-on-Insulator，SOI)器件的全介质隔离结构改善了其抗单粒子效应性能，但也使其对总剂量效应更加敏感。
en-us	The fully dielectric isolation structure of Silicon-on-Insulator (SOI)devices improves their immunity tosingle event effects, but also makes them more sensitive to total ionizing dose (TID)effects.

zh-cn	为了评估 SOI 器件的总剂量效应敏感性，本文提出了一种基于 TCAD (Technology Computer Ai-ded Design)的总剂量效应仿真技术。
en-us	In order to evaluate the sensi-tivity of SOI devices to TID effects, a simulation method based on TCAD (Technology Computer Aided Design)was pro-posed.

zh-cn	通过对 SOI 器件三维结构进行建模，利用 TCAD 内置的辐射模型开展瞬态仿真，模拟氧化层中辐射感应电荷的产生、输运和俘获过程，从而分别评估绝缘埋层(Buried Oxide，BOX)和浅沟槽隔离(Shallow Trench Isolation，STI)氧化层中辐射感应陷阱电荷对器件电学性能的影响。
en-us	By modeling the three-dimensional structure of SOI devices and using the TCAD built-in radiation model to simulatethe generation, transport and capture of radiation-induced charges in oxide layer, the effects of radiation-induced trap chargesin buried oxide (BOX)and shallow trench isolation (STI)oxide on the electrical properties of SOI devices are evaluatedrespectively.

zh-cn	基于该仿真技术，本文分别研究了不同偏置、沟道长度、体区掺杂浓度以及 STI 形貌对 SOI MOSFET 器件总剂量辐射效应的影响。
en-us	Based on this simulation technique, the effects of radiation bias, channel length, body doping concentration andSTI morphology on TID effect of SOI MOSFET were investigated.

zh-cn	仿真结果表明高浓度的体区掺杂、较小的 STI 凹槽深度和更陡峭的 STI 侧壁将有助于改善 SOI 器件的抗总剂量效应性能。
en-us	The simulation results show that higher body doping con-centration, smaller STI divot depth and steeper STI sidewall will be helpful to improve the TID hardness performance of SOIdevices.

zh-cn	模拟电路的设计重用是提高模拟与混合信号集成电路设计效率的重要途径。
en-us	Design reuse is an important means to increase the productivity of analog and mixed-siganl IC designs.

zh-cn	本文提出了一种基于 gm/Id参数的不同工艺之间同一结构电路的设计移植方法。
en-us	Agm/Idbased resizing methodology for CMOS OpAmp's is proposed in this paper.

zh-cn	方法的基本思想是保持移植前后电路中部分关键 MOS 管的gm/Id参数，从而使移植后电路的性能也基本保持不变。
en-us	The basic idea is to preserve the gm/Idpa-rameters of some crucial transistors in the circuit with the aim of the approximate performance preservation of the resized cir-cuit.

zh-cn	介绍了基于 BSIM 等模型的 gm/Id匹配及移植电路参数确定方法。
en-us	The method to accurately match the gm/Idparameters based on the BSIM like model between the resized and the original circuit is presented.

zh-cn	给出了一个 Miller 补偿两级运放及一个折叠共源共栅运放从 0.35μm 工艺到 0.18μm、0.13μm、90nm 工艺的移植仿真结果。
en-us	The resizing experiments of a two-stage Miller compensated OpAmp and a folded cascode OpAmp for theprocess migration from a 0. 35 μm CMOS technology to a 0. 18 μm, 0. 13 μm, 90nm one have been performed to validate the proposed method.

zh-cn	与现有方法相比，本文方法可以更小的计算代价，得到性能基本相同、但功耗与面积缩减的电路。
en-us	The simulation results show that the method generates the resized circuits with almost the same performance but reduced power and area consumption at a lower computational cost compared with the existing approaches.

zh-cn	为了克服原始教学优化算法在求解复杂多峰函数时全局寻优精度不高和过早收敛的缺点，提出一种矩形邻域结构和个体扰动的教学优化算法。
en-us	A teaching-learning-based optimization algorithm with rectangle neighborhood structure (RNTLBO)is proposed to overcome the shortcomings of low global search precision and premature convergence of the original teaching-learning-based optimization algorithm (TLBO)while handling complex multimodal functions.

zh-cn	算法将种群空间设计为矩形结构，个体的矩形邻域由矩形厚度和围绕其的矩形区域个体决定，
en-us	In the algorithm, the popula-tion space is designed as a rectangular structure, and the individual rectangular neighborhood is determined by the rectangle thickness and the individual rectangular region surrounding it.

zh-cn	教和学两个阶段都使用邻域最优个体引导搜索，加强了算法勘探新解和开发局部最优解的能力;
en-us	In both teaching and learning stages, the optimal individual inthe neighborhood is used to guide the search, which strengthens the ability of the algorithm to explore new solutions and ex-ploit local optimal solutions.

zh-cn	为了防止算法过早陷入局部最优，增加了基于搜索边界信息引导的个体扰动阶段，使得种群即使在进化的后期仍能保持较好的多样性。
en-us	In order to prevent the algorithm from falling into the local optimum prematurely, the individual perturbation stage guided by search boundary information is added, so that the population can maintain good diversity even inthe later evolution stage.

zh-cn	对带有偏移和旋转的复杂函数进行仿真测试，结果表明新算法在求解精度和稳定性方面，在绝大多数情况下优于原始教学算法和其他一些近来的优秀改进教学算法。
en-us	The simulation results of complex functions with shift and rotation show that the new algorithm is superior to the original TLBO and some other recently improved variants in terms of accuracy and stability in most cases.

zh-cn	关于移动感知器网络中感知任务的分发问题，目前学术界已经有了诸多相关研究。
en-us	There have been many studies on the distribution of sensing tasks in mobile sensor networks.

zh-cn	然而，这些研究很少涉及到多个智能体协作完成复杂感知任务问题。
en-us	However, these studies rarely involve the problem that many agents in a mobile sensor network cooperate to perform complex sensingtasks.

zh-cn	针对这种情况，首先，通过分析移动感知器网络的结构特征、智能体相互之间、以及智能体和感知任务之间的关系，本文提出了智能体之间协作关系强度和智能体对感知任务适应度两个概念，
en-us	In order to address this challenge, first, we combined the structural characteristics of mobile sensor networks, the rela-tionship between agents, and the relationship between agents and sensing tasks. Then we proposed the strength of cooperation between agents and the fitness of agents to sensing tasks,

zh-cn	并讨论了二者对于移动感知器网络中感知任务动态分发的作用。
en-us	and discussed their roles in the dynamic distribution of sensing tasks in mobile sensor networks.

zh-cn	其次，在上述概念的基础上，将二者融合为偏好因子，提出了基于随机游走和协作关系的任务分发算法(TDCR，Task Distribution With Cooperative Relationship)，通过该算法达到提高任务分发效率的目的。
en-us	Second, based on the above concepts, the two were unified as preference factors. In order toachieve the goal of improving task distribution efficiency, a task distribution algorithm based on random walk and coopera-tive relationship was proposed.

zh-cn	最后，将 TDCR 与 Personal Rank 算法(PR)、HITS 算法对比分析，表明所提出的算法TDCR 在任务分发效率和准确度等性能指标上有较好的提升。
en-us	At last, the comparison with the Personal Rank(PR)algorithm and HITS algorithm shows that the proposed algorithm has superiority in task distribution efficiency and accuracy.

zh-cn	为了减小由非恒定群延时所引起的滤波器的输出信号失真，本文提出一种适用于级联型无限长脉冲响应数字滤波器的群延时均衡优化方法。
en-us	In order to reduce the output distortion that caused by the non-constant group delay of digital filter, an e-qualization based optimization technique is proposed, in this paper, for decreasing the variation of group delay in cascaded in-finite-impulse response digital filter.

zh-cn	通过在级联型 IIR 数字滤波器每一级的输出插入全通均衡器，减小群延时在通带范围内的变化，进而减小滤波器的输出信号失真。
en-us	By inserting all-pass equalizer behind each stage of the cascaded IIR digital filter, the variation of group delay within the passband range can be reduced, and the output distortion of the digital filter can also bedecreased.

zh-cn	对于本文提出的群延时优化方法，当采用 1 阶和 2 阶均衡器进行电路优化时，在 0 ～ 100Hz 的通带范围内，分别将群延时的变化量减小了 28.19% 和 49.93% 。
en-us	For the group delay optimization method proposed in this paper, when the 1st and 2nd order equalizers are usedfor circuit optimization, the variation of group delay is reduced by 28. 19% and 49. 93% respectively in the passband rangeof 0 ～ 100Hz.

zh-cn	基于 0.18μm CMOS 标准单元库进行逻辑综合与版图设计，最终得到整个滤波电路 IP 核版图的面积为 0.1747mm2。
en-us	Based on the 0. 18μm CMOS standard cell library for logic synthesis and layout design, the area of the entirefilter circuit IP core layout is 0. 1747mm2.

zh-cn	相比于已有文献方法，本文方法在群延时优化上效果显著，电路实现上功耗和面积较小，非常适合片上系统应用。
en-us	Compared with the existing literature methods, this method has a significant effecton group delay optimization, and the power consumption and area are small in circuit implementation, which is very suitablefor system-on-chip applications.

zh-cn	相比于常规的“参数估计 + 位置解算”两步定位模式，直接定位(DPD)算法具有定位精度高、分辨能力强等诸多优势。
en-us	Compared with the conventional two-step (including parameter estimation and position solution)localiza-tion mode, direct position determination (DPD)algorithm has more advantages, such as higher position estimation accuracy, strong resolution capability, etc.

zh-cn	但是，DPD 算法的性能受到阵列模型误差的影响。
en-us	However, the performance of DPD algorithm is affected by the array modeling errors.

zh-cn	本文通过一阶 Taylor 级数展开，定量推导出模型误差条件下基于多重信号分类直接定位算法(MUSIC-DPD)的定位误差，
en-us	In This paper, the localization deviation for multiple signal classification (MUSIC)-based DPD algorithm is derived quantitatively by using first-order Taylor expansion in the presence of array modeling errors.

zh-cn	从定位误差的表达式中可以发现辐射源的真实位置和 MUSIC-DPD 所得的有偏位置估计之间存在一种非线性关系，但这关系在实际条件下无法精确表示。
en-us	The result demonstrates that there is a nonlin-ear relationship between the true location of the radiation source and biased position estimation obtained from MUSIC-DPD, but this relationship cannot be accurately expressed in practice.

zh-cn	为此，本文提出一种基于多层感知器(MLP)神经网络的直接定位偏差修正方法，
en-us	To solve this problem, we propose the use of a multilayer perceptron (MLP)neural network (NN)for localization deviation correction of DPD.

zh-cn	该方法能够直接学习由阵列模型误差引起的定位偏差的规律，有效地修正由阵列模型误差导致的直接定位偏差。
en-us	This method can effectively correctthe localization deviation of DPD caused by array modeling errors through adaptive learning of NN.

zh-cn	建立在物理设备集中且以云平台收益为目标的虚拟网络映射技术在企业级网络中存在不适应性，本文提出了有位置限制的企业级虚拟网络映射能源优化策略(EL-VNE)。
en-us	The studied technologies which were based on centralized physical devices and targeted on benefit optimi-zation could not be applied in the enterprise network. To solve this problem, a cost optimization strategy based on location constrain(EL-VNE)was proposed for virtual network embedding in the enterprise network.

zh-cn	首先，采用复数理论将计算能力和带宽能力归一到单个节点处，减少了映射次数。
en-us	Firstly, the computing and band-width capabilities were unified to a single node by using the complex theory, which decreased embedding times.

zh-cn	其次，提出了 EL-VNE 模型，包括能源消耗，资源消耗，位置限制等数学描述，并证明其属于 NP 完全问题。
en-us	Secondly, the EL-VNE model was presented and composed by mathematical descriptions about energy consumption, resource consump-tion and location constrain, which was proved to be NP-completed.

zh-cn	最后，提出了启发式算法求解 EL-VNE 的最佳解空间，确定虚拟映射方案，达到优化能耗的目的。
en-us	Finally, heuristic algorithms were designed to find the so-lution of EL-VNE and then the embedding scheme with energy optimization was obtained.

zh-cn	相比于 EAD 和 GLC 等算法，EL-VNE 在映射和运行过程中能进一步降低能源消耗且有更好的性能表现。
en-us	Compared with algorithms such asEAD and GLC, EL-VNE saves energy consumption in the process of embedding and running, and has better performance.

zh-cn	针对 IP 地址动态化防护技术引入额外开销而导致正常网络传输性能下降的问题，首次设计并实现了一种基于矢量数据包处理(Vector Packet Processing，VPP)加速的 IP 地址动态防护系统，在隐藏真实 IP 地址的同时增强了系统数据处理能力。
en-us	IP address dynamic protection techniques will introduce additional overhead. Therefore, the performance ofnormal network transmission decreases. A dynamic protection system of IP address accelerated by Vector Packet Processing(VPP)is designed and implemented for the first time, which can hide the real IP address and enhance the system's data Pro-cessing ability.

zh-cn	首先，针对控制平面和数据平面处理逻辑不同，分别设计了快转发逻辑和慢转发逻辑，降低数据报文处理过程中的拷贝次数;
en-us	Firstly, fast forwarding logic and slow forwarding logic are designed respectively for different logic of control plane and data plane processing, so as to minimize the number of copies in data message processing.

zh-cn	其次，面向真实 IP-虚假 IP 频繁映射，提出一种共享内存的高效的 IP 地址动态变换机制;
en-us	Secondly, facing the fre-quent mapping between real IP and virtual IP, an efficient dynamic IP address transformation mechanism of Shared memoryis proposed.

zh-cn	再次，采用最优化和哈希链算法制定了 IP 跳变策略与虚假 IP 地址预分配机制，最小化系统性能损耗;
en-us	Thirdly, the optimization algorithm is used to formulate the IP hopping strategy, and the hashing chain algorithmis used to formulate the efficient virtual IP address pre-allocation mechanism.

zh-cn	最后，实验结果表明，系统能够有效抵御 DoS 攻击并将潜在的侦查攻击命中率控制在 16% 以下，在数据处理性能上也有明显的速度提升。
en-us	Minimize system performance losses. Finally, the experimental results show that the system can effectively resist DoS attacks and control the potential detection attack hitrate below 16% , which is significantly improved in data processing performance.

zh-cn	提出了一个基于 GHZ 态局域测量的新颖且高效的量子秘密共享方案。
en-us	This paper proposes a novel quantum secret sharing(QSS)scheme based on quantum correlations amongthree particles in a GHZ state.

zh-cn	该方案充分利用了 GHZ 态 3 个粒子间的相关性，不需要进行任何酉操作或纠缠交换，只通过局域测量，就可在通信者之间建立共享联合密钥。
en-us	Without any unitary operation or entanglement swapping, receivers can obtain the joint key by using local measurements of photons.

zh-cn	除去用于窃听检测的粒子，其余粒子全部用于消息传输，每个 GHZ 态可以共享一个比特经典消息，
en-us	Except a few particles which is used to check the security of quantum channel, every GHZ state can be used to share 1 bit of information.

zh-cn	效率达到 100% 。
en-us	The total efficiency of the scheme approaches 100% .

zh-cn	同时，对于可能存在的攻击方式，文中给出了详细的安全性证明。
en-us	Taking all possible attacks into account, the security proofs are detailed.

zh-cn	最后，建立了效率与安全的关系模型，并用 MATLAB 进行了比较深入的仿真分析。
en-us	We finally establish a mathematical model about the efficiency and se-curity of the scheme and perform simulation analyses with different parameters using MATLAB.

zh-cn	针对最近研究的周期为 pq(两个不同的大素数的乘积)的一类广义割圆序列，通过计算该序列的离散傅里叶变换系数，从而确定了该序列的 Mattson-Solomon 多项式，并由此得到了序列的迹表示形式。
en-us	For a new family of generalized cyclotomic sequences of period pq, a product of two large distinct primes, we calculate the discrete Fourier transform and hence determine Mattson-Solomon polynomial, which helps us to describe thesequences via trace functions.

zh-cn	交换机迁移作为一种弹性控制方式对于软件定义网络(SDN)中多控制器负载均衡具有重要作用。
en-us	As an elastic control approach, switch migration plays an important role in multi-controller load balancingin software defined networking (SDN).

zh-cn	针对现有迁移方案存在迁移效率低下和高迁移代价问题，提出基于效能优化的交换机动态迁移策略。
en-us	In order to solve the problems of low migration efficiency and high migration cost in the existing schemes, this paper proposes Switch Dynamic Migration (SDM)Strategy based on efficiency optimization.

zh-cn	首先，分析控制器负载组成并构建负载差异矩阵，设置触发因子进行负载不均衡判定。
en-us	We firstly analyze the composition of controller loads in detail, set up the load difference matrix to know the distribution ofloads, and introduce a trigger factor, which is used to judge load balancing on controllers through comparing the overloadthreshold.

zh-cn	然后确定迁移对象，建立迁移效能模型，同时考虑负载均衡率和迁移代价来确定迁移交换机和迁入控制器。
en-us	Then, we formulate the migration objects, and introduce the migration efficiency model, which considers load bal-ance rate and migration cost simultaneously to select the migrating switches and immigrating controllers.

zh-cn	最后，通过设定迁移三元组完成迁移映射，实现高效交换机迁移。
en-us	Finally, we set mi-gration triplet to complete the migration mapping and achieve the efficient switch migration.

zh-cn	仿真结果表明，该策略可以有效降低控制器响应时间，减小迁移代价并提高控制器吞吐量，同时将负载均衡率保持在较高水平，具有良好的拓扑适应性。
en-us	Simulation results show this mechanism could lower controller response time effectively, reduce migration cost and improve controller through puts. Be-sides, it keeps high load balancing rate and has good topology adaptability.

zh-cn	针对传统光学摄像头和无线技术的手势识别方法受光照环境影响和空间纵向、横向特征不全的问题，该文提出一种基于调频连续波(Frequency Modulated Continuous Wave，FMCW)雷达信号的双流融合神经网络(Two-Stream Fusion Neural Network，TS-FNN)手势识别方法。
en-us	To deal with the problem of easily being affected by illumination environment of the traditional optical camera based hand gesture recognition method and the incomplete spatial and lateral characteristics of the wireless based hand gesture recognition method, this paper proposes a frequency modulated continuous wave (FMCW)radar signal basedtwo-stream fusion neural network (TS-FNN)for hand gesture recognition.

zh-cn	首先，利用二维快速傅立叶变换(Fast Fourier Transform，FFT)求取中频信号的频谱，估计手势的距离和速度，并利用多重信号分类 (Multiple Signal Classification，MUSIC)方法计算角度。
en-us	Firstly, the spectrum of the IF signal is obtainedby two-dimensional Fast Fourier Transform (2D-FFT), the range and speed of the gesture are estimated, and the angle iscalculated by the Multiple Signal Classification (MUSIC)method.

zh-cn	其次，利用这三维参数在时间上的累积，将一个手势动作映射为 32 帧距离-速度矩阵图和角度时间图。
en-us	Secondly, using the accumulation of three-dimensionalparameters in time, a gesture action is mapped to a 32-frame range-speed matrix diagram and an angular-time map.

zh-cn	最后，建立TS-FNN 进行手势特征提取和特征融合。
en-us	Finally, TS-FNN is established for gesture feature extraction and classification.

zh-cn	实验结果表明，TS-FNN 方法与传统卷积神经网络相比，手势的平均识别准确率提升了约 5% 。
en-us	The experimental results show that compared with theexisting methods, the TS-FNN method improves the average recognition accuracy by about 5% .

zh-cn	针对多径衰落信道下的载波同步问题，通过分析修正的经典估计器不能同时兼顾估计范围和估计精度的缺陷，提出了一种两步频偏估计算法。
en-us	Aiming at the carrier synchronization problem in multipath channels, a two-step estimation algorithm is proposed by analyzing the defects of the modified classical estimators that can't take account of the range and the accuracy of the estimation simultaneously.

zh-cn	对于 iNET 系统采用的 SOQPSK-TG 信号，利用前导码的周期性，对多径衰落信道下的频偏估计进行了研究。
en-us	For SOQPSK-TG signal used in iNET system, the frequency offset estimation in multipathfading channels is studied by using the periodicity of the preamble.

zh-cn	首先在保持 iNET 帧结构导频开销不变的前提下，对前导码结构进行改进;
en-us	First, the structure of the preamble is improved, keeping the pilot overhead of iNET frame structure unchanged.

zh-cn	然后基于改进Kay 算法进行粗估计，再用 L＆R 算法进行细估计;
en-us	The improved Kay algorithm is used to ensure the estimation range. And then, the L＆R algorithm is used for fine estimation.

zh-cn	推导了改进前导码结构下的 Kay 估计子和 L＆R 估计子。
en-us	Also, the modified Kay and L＆R estimators are derived under the improved preamble structure.

zh-cn	理论分析和仿真结果表明，所提同步方案的估计范围扩大了一倍，估计精度也可以达到克拉美罗界。
en-us	Theoretical analysis and simulation results show that the range of the proposed estimation syn-chronization scheme is two times the range of the classical estimators, and the estimation accuracy can reach CRB.

zh-cn	本文考虑了多个供应商、多个制造商和多个零售商的三级供应链物流运输调度，以最大限度地降低采购、加工和运输成本为目标，提出了带容量约束的供应链物流运输调度模型(Capacitated Vehicle Routing Problem inSupply Chain，CVRPSC)。
en-us	Considering a two-level vehicle routing problem in a three-echelon supply chain with multiple suppliers, multiple manufacturers and multiple stockists, with the aim of minimizing the cost of purchasing, production and transporta-tion, this paper proposes a model for the capacitated vehicle routing problem in supply chain (CVRPSC).

zh-cn	进一步地，本文构造了求解 CVRPSC 的双层变邻域蝙蝠算法(Two-Level Bat Algorithm withVariable Neighborhood Search，TLBAVNS)。
en-us	Further, a two-lev-el bat algorithm with variable neighborhood search (TLBAVNS)is presented to solve CVRPSC.

zh-cn	该算法提出了一种双层蝙蝠位置的定义，引入了相应的蝙蝠算法的更新操作，采用变邻域局部搜索策略加强算法的寻优能力。
en-us	The algorithm proposes adefinition of two-level bat position and introduces the corresponding operations of the bat algorithm. In addition, a variable neighborhood local search is proposed to enhance the optimizing capability of TLBAVNS.

zh-cn	实验证明:TLBAVNS 能在合理的时间内求解 CVRPSC;在大部分测试算例中，该算法相对于对比算法均表现出了更强的寻优能力和稳定性。
en-us	The experiments have shown that TLBAVNS can effectively solve the instances of CVRPSC within a suitable amount of time and significantly outperforms all the other alternatives in most of the cases.

zh-cn	为了解决现有算法在 RSC 码多项式参数识别过程中，实时性不好和容错性差两大缺点，提出了具有低信噪比适应能力的 RSC 码快速迭代识别算法。
en-us	In order to solve the defects which are poor error tolerance and large amount of calculation in current algo-rithms in recognition of the RSC encoder, a fast iterative recognition algorithm which has excellent performance was pro-posed.

zh-cn	首先根据 RSC 码元之间的线性约束关系，定义了双曲正切符合度概念，该概念能够表征在某一多项式参数下，截获码元之间的线性关系成立的可能性大小;
en-us	Firstly, according to the linear constraint relation between RSC symbols, the concept of hyperbolic tangent conforma-tion was defined;this can measure the possibility of the linear relationship between the symbols under a certain polynomial parameter.

zh-cn	其次将截获码元总的双曲正切符合度值作为代价函数，然后将待识别的多项式参数的概率值作为代价函数自变量，从而将 RSC 码参数识别问题转化为多元函数极大值求解问题;
en-us	Secondly, the total hyperbolic tangent coincidence value of the intercepted symbol was used as a cost function, and then the probability value of the polynomial parameters were regarded as the cost function independent variable and the problem of RSC code identification was transformed into the maximum value of the multivariate function.

zh-cn	最后利用变步长梯度上升方法，在有限次的迭代下，完成在连续概率空间中代价函数极大值求解，最终完成 RSC 码参数识别。
en-us	Finally, the varia-ble step gradient method was used to solve the maximum value of the cost function in the continuous probability space at thefinite iteration.

zh-cn	提出的算法收敛速度快且稳定，除了具有较强的低信噪比适应能力外，其计算量与编码器寄存器个数以及码元路数成平方倍数增长。
en-us	The proposed algorithm has a fast and stable convergence speed. In addition to the strong adaptive ability oflow SNR, the computational complexity increases squarely with the number of encoder registers and the number of symbols.

zh-cn	仿真实验表明:提出的算法最多在第 5 次迭代时，就能完成参数的收敛，同时低信噪比的适应能力较强，即使在 0dB 条件下，RSC 码多项式参数识别率能达到 90% 以上;
en-us	The simulation experiment showed that the proposed algorithm could achieve the convergence of the parameters at most fifth iterations, while have strong ability to suit to the low SNR. Even the SNR is 0dB, the correct identification rate of RSC codecan reach more than 90% .

zh-cn	与现有的相关算法相比，所提算法的低信噪比适应能力提高了近 3dB，同时完成一次参数识别的时间大大降低。
en-us	Compared with the existing algorithm, the proposed algorithm improved the adaptive capacity oflow SNR by nearly 3dB, at the same time, the time consuming is greatly reduced.

zh-cn	针对传感器资源有限的情况，以目标检测为背景，提出了一种基于风险理论的传感器管理方法。
en-us	A sensor management method with the limited sensor resources under target detecting is proposed based onrisk theory.

zh-cn	首先建立目标检测模型和传感器辐射模型，将“检测风险”和“截获风险”之和作为传感器管理风险函数，即目标函数。
en-us	Firstly, the target detection model and the sensor radiation model are established, with‘detecting risk'and‘ra-diating risk'defined. The sum of the two kinds of risk is taken as the sensor management risk function, namely the objective function.

zh-cn	其次为对模型求解，将预测值的期望值作为目标函数的近似值，重新修正目标函数。
en-us	Secondly, to get a scheme from the function, the predicted expectation value is taken as the approximation of theobjective function, then the objective function is revised.

zh-cn	接着设计了基于多 Agent 的分布式优化算法。
en-us	After that, a distributed optimization algorithm based on multi-agentis proposed.

zh-cn	仿真实验表明，通过本文提出的基于风险理论的传感器管理方法，能够有效实现传感器管理，
en-us	The experiment results show that the proposed sensor management method based on risk theory can effectivelyresolve the problem of sensor management.

zh-cn	与以往的传感器管理方法相比，本文方法更能较好地解决资源有限情况下的传感器管理问题。
en-us	This method outperforms the previous sensor management method and could solve the problem of sensor management under limited resources with a better solution.

zh-cn	针对短波信道下信号截获质量差，信道环境复杂以及单一特征识别率低等问题，提出了基于深度残差网络的信号特征自动提取算法，设计了一种具有自适应学习能力的短波特定通信协议识别模型。
en-us	To correctly classify the specific protocol signal, a signal recognition model with adaptive learning and au-tomatic feature extraction ability is proposed. This model is based on the deep residual network, which can solve the draw-backs, such as, the poor quality of the intercepted communication signal, the complex condition of the short wave channel, and the low recognition rate of the single feature.

zh-cn	通过对具有特殊结构的协议信号的时频视觉差异进行理论推导，将信号的时频能量转换成灰度图像，并用于对所构建的深度残差网络进行训练。
en-us	After analyzing the visual characteristic of communication protocol signal with special structure in time frequency domain, the time frequency gray-images are obtained and utilized to train the deepresidual network. This method does not need much prior knowledge and is insensitive to signal quality.

zh-cn	该方法克服了传统方法对信号质量要求高、先验信息需求多等缺陷，可直接对中频接收信号进行处理，适合实际工程应用。
en-us	Moreover, it can process the intermediate-frequency signal directly. Due to these advantages, the algorithm is suitable for engineering applica-tion.

zh-cn	实验表明，当深度残差网络达到稳态时，识别准确率高，在低信噪比、多径衰落、多普勒频偏以及信号被强干扰所遮挡的情况下，依旧能准确识别协议类别。
en-us	Simulation results show that, when the deep residual network reaches its steady status, the proposed model can accurate-ly identify the protocol. And it is also proved effective even at complex circumstance where the multipath fading and theDoppler shift exist, the signal-to-noise ratio is low, and the interference is strong.

zh-cn	为了提高非线性卫星钟差预测的精度，降低单一钟差预测模型对钟差预测的风险，提出了一种组合模型的卫星钟差预测算法。
en-us	In order to improve the accuracy of nonlinear satellite clock bias prediction and reduce the risk of singleclock bias prediction model for clock bias prediction, a satellite clock bias prediction algorithm based on combined model is proposed.

zh-cn	该算法首先采用 db1 小波对卫星钟差序列进行 3 层多分辨率分解和单支重构，得到一个趋势分量和三个细节分量，
en-us	The algorithm firstly uses db1 wavelet to conduct a 3 layer multiresolution decomposition and single branch recon-struction of satellite clock bias sequences, and obtains a trend component and three detail components.

zh-cn	然后运用灰色预测模型对重构后的趋势分量和混沌一阶加权局域预测法对重构后的细节分量分别进行预测，
en-us	Then the grey predic-tion model is used to predict the reconstructed trend component and the chaotic time series one-order weighted local predic-tion method is used to predict the reconstructed detail components.

zh-cn	最后将各分量预测结果相加后得到总的钟差预测值。
en-us	Finally, each component prediction result is added to ob-tain the total clock bias prediction value.

zh-cn	以 GPS 卫星钟差数据做算例分析，在 6 小时的钟差预测中，算法绝对误差最大值比单一的灰色预测模型误差小 1.3ns 以上。
en-us	Taking the GPS satellite clock bias data as an example, the maximum absolute errorof the algorithm is at least 1. 3ns smaller than that of a single gray prediction model in 6-hour clock bias prediction.

zh-cn	将该组合预测模型用于非线性卫星钟差预测中，可以提高钟差预测的精度和可靠性。
en-us	This combined prediction model can be applied to the prediction of nonlinear satellite clock bias, which can improve the accuracyand reliability of clock bias prediction.

zh-cn	随着云计算技术的不断发展，微服务体系结构逐渐成为一种广泛应用的软件设计风格。
en-us	With the continuous development of cloud computing technology, the microservice architecture has gradu-ally become a widely used software design style.

zh-cn	在基于微服务的应用系统中，微服务数量众多、相互依赖关系复杂、持续在线演化等特征使得微服务运行时资源的有效管理面临新的挑战。
en-us	In microservice-based applications, different microservices collaborate with one another via interface calls, but they may also compete for limited resources during online evolvement.

zh-cn	本文充分考虑微服务之间的关系特征，提出了一种基于拥塞博弈理论的运行时资源管理方法。
en-us	This poses newchallenges for allocating resources efficiently during runtime. To tackle the problem, we propose a novel approach based oncongestion game.

zh-cn	首先，对微服务之间的复杂依赖关系进行建模，给出了带权有向无环图描述的微服务调用关系模型;
en-us	Firstly, we use a weighted directed acyclic graph to model the inter-relationship of the microservices that compose an application.

zh-cn	然后，基于微服务关系调用模型对各个微服务的请求到达频率进行计算，并用排队论中的 M/G/1 队列刻画微服务处理请求的过程，进而设计了一种以服务等级协议(Service Level Agreement)满足程度为衡量标准的服务收益函数;
en-us	Then we use M /G /1 queue in queue theory to describe the arrival process of access requests, and combine it with the above graph to calculate the arrival rate of access requests to each microservice, which in turn is used toestimate response time in a newly-designed microservice revenue function.

zh-cn	最后利用拥塞博弈模型刻画对计算资源的竞争关系，给出了求解博弈的纳什均衡状态的多项式算法。
en-us	Finally, we define resources competing problemas a congestion game where each microservice is a player aiming to maximize its revenue, and propose an algorithm to findNash equilibrium in polynomial time.

zh-cn	实验表明，该方法在计算资源有限的场景下可以有效地提高微服务应用的整体性能。
en-us	Experiment results show that our approach can effectively improve the overall perform-ance of the system with limited resources.

zh-cn	为解决群组认证中非法签名难以标定的问题，本文基于数字通信系统中的纠错码理论，提出了一个非适应性组合群组认证方案。
en-us	Because it is difficult to identify bad signatures in group authentication schemes, the work is concerned with combinatorial group test based on error correction coding theory in digital communication system and a novel non-adap-tive group authentication scheme is proposed.

zh-cn	该方案首先根据纠错码理论构造认证节点分组算法，然后按照分组进行节点签名的批量认证，再对分组认证结果进行迭代，从而标定非法签名，最后进行了例证演示。
en-us	Firstly, the grouping algorithm of all nodes is proposed based on error correc-tion coding theory;secondly, batch certification is implemented according to the groups;thirdly, bad signature is identified byiterative analyses;finally, an example is demonstrated.

zh-cn	复杂度分析表明，针对 n 个签名(含有 r 个非法签名)进行非法者标定的问题，运用群组认证的标定次数远远小于逐一认证的 n 次，准确性演化结果表明当 r 远远小于 n 时，群组认证非法签名的标定成功概率接近于 1。
en-us	Complexity analyses show the identification times of the group au-thentication scheme of n signatures with r bad signatures is much less than n times of one-by-one authentication. Accuracyanalyses show the probability of identification of the group authentication scheme is close to 1 when r is much less than n.

zh-cn	互信息分析方法是基于信息论提出的一种描述两信号间信息交互情况的算法，其在脑电信号领域的有效性已得到了充分证实。
en-us	The mutual information analysis is a method based on information theory to describe the information inter-action between two signals.

zh-cn	针对当前测谎方法中脑电信号特征提取困难以及大脑整体认知功能分析在脑认知科学研究中越来越被重视的情况，本文首次将互信息分析方法应用到脑电测谎领域中，使用互信息量化大脑各节点之间的相关性，对计算结果进行统计分析，
en-us	In view of the difficulty in extracting features of EEG signals in the current lie detection method and the circumstance that the analysis of the overall cognitive function of the brain were increasingly important in brain cog-nitive science research, this paper applied the mutual information analysis method to the field of EEG lie detection for the first time and quantified the correlation between the brain nodes and perform statistical analysis on the calculation results.

zh-cn	选取出在两类人群中具有显著性差异的电极对的互信息作为分类特征，进行模式识别，得到了 99.67% 的准确率。
en-us	The mutual information of the electrode pairs with significant differences in the two groups were selected as the classification features, on which the pattern recognition was performed, resulting in the accuracy rate of 99. 67% .

zh-cn	这一结果表明，互信息分析方法是一种有效的脑功能连接分析方法，为基于脑电信号连接分析的测谎研究提供了一种新的途径。
en-us	This result proves that the mutual information analysis is an effective brain functional connection analysis method, which provides a new way for lie detection research based on EEG signal connection analysis.

zh-cn	另外，对说谎与诚实两类受试者的大脑功能网络的分析结果表明:
en-us	In addition, the brain function network of both lying and honest subjects was also analyzed. The results show that

zh-cn	处于说谎状态时，大脑的额叶、顶叶、颞叶及枕叶之间协同实现谎言功能，并在躯体行为所对应的脑区与其他脑区的连接上也表现出相对诚实组的显著性差异，以上结果均有助于进一步揭示谎言的神经活动机制。
en-us	when lying, the frontal, parietal, temporal, and occipital regions of the brain cooperate to achieve the lie function, and in the connection between the brain regions corresponding to the physical behavior and other brain regions, significant differences between the two groups was also shown. These above results will help us fur-ther reveal the neural activity mechanism of the lie.

zh-cn	通过大数据交易过程模型优化，实现对大数据交易过程的精确建模，对于构建稳定、鲁棒和精确的交易平台至关重要。
en-us	Through the optimization of big data transaction process model, the accurate modeling of big data transac-tion process is realized, which is significant for building a stable, robust and accurate transaction platform.

zh-cn	然而，大数据交易流程随时间而变化，传统的静态模型优化方法无法反映现实流程模型的时态变化特征。
en-us	However, the bigdata transaction process changes over time, and traditional static model optimization methods cannot reflect the characteristics of time-varying changes in real-world process models.

zh-cn	为此，本文提出一种基于概念漂移的大数据交易模型优化方法，在概念漂移点检测和定位的基础上，设计大数据交易日志分割算法，演算日志精准分割点，构建具有时变特性的大数据交易分段模型，实现基于日志分割的模型优化。
en-us	For this reason, this paper proposes an optimization approach of big data transaction model. Based on the detection and location of concept drift points, the approach designs a big data transac-tion log segmentation algorithm and calculates log precise segmentation points to build a large data transaction time-varying segmented model and to realize model optimization.

zh-cn	该方法在天元大数据交易平台的应用实践表明，优化模型在拟合度和精确度方面均优于静态模型，对大数据交易演化过程的适配性更强。
en-us	The proposed approach has got used in Tianyuan Big Data Transaction Platform, which shows that the optimization model has an advantage over the static model in fitness, precision and adaptationto the big data transaction process.

zh-cn	针对当前内容感知的重定向方法中可能出现的变形和失真问题，提出一种融合显著与深度信息的缝切割重定向方法。
en-us	To solve the problem of deformation and distortion that may occur in the current content-aware redirection method, a retargeting method with seam-carving combining saliency and depth information is proposed.

zh-cn	首先利用 GBVS 算法获取图像显著信息，结合图像梯度信息与通过 SIFT 匹配方法获取的图像深度信息构建更精确的重要度图;
en-us	Specifically, the GB-VS algorithm is used to obtain the saliency information, and the image gradient information is combined with the image depth information acquired by the SIFT matching method to construct a more accurate importance map.

zh-cn	其次，根据重要度图的能量分布，对原始图像进行处理，得到最终的重定向结果。
en-us	Then, according to the energy distribution of the importance map, the original image is processed to obtain the final results.

zh-cn	基于公开数据库在两个不同评价标准下与多种重定向方法的对比表明，本文方法能够最大程度的保留图像的显著部分。
en-us	The comparison onthe public database with different methods under two evaluation criteria shows that the proposed method can preserve the sig-nificant part of the image to the greatest extent.

zh-cn	导向滤波算法是一种有效的基于边保持的平滑滤波算法。
en-us	Guided image filtering is an effective edge-preserving smoothing technique.

zh-cn	然而，由于算法中的正则化系数和细节层增益是固定的，可能会导致边附近出现光晕以及背景中出现大量噪声，降低图像的质量。
en-us	However, because the regulari-zation parameter and amplification factor of the detail layer are fixed instead of content adaptive, the halo effects near the ed-ges and noise in the background may be incurred, which will degrade the quality of the output images further.

zh-cn	在本文中，首先给出了一种改进的基于边的权重系数计算方法，它能够较准确地实现边保持，减少光晕现象。
en-us	In this paper, an improved edge-aware weighting is first proposed to preserve the edges more accurately and reduce the halo effects.

zh-cn	其次，提出了基于梯度导向的细节层增益计算方法，可以有效地增强细节并且抑制噪声。
en-us	Then, the amplification factor of the detail layer is calculated in a gradient-directed way for boosting the details while suppressing the noise.

zh-cn	实验表明，对于含有大量噪声和小细节的低剂量 CT 图像，本文方法可以减少噪声和光晕的影响，显著提高图像的对比度，满足临床诊断的需要。
en-us	Experimental results on the low-dose CT images with heavy noise and small details show that the proposed methodcan reduce the halo effects and attenuate the noise while enhancing the contrast efficiently. The visual quality of the outputimages meets the requirement of the clinical diagnosis.

zh-cn	针对目前入侵检测效率不高的问题，本文提出一种基于感知哈希矩阵的最近邻入侵检测算法。
en-us	In view of the low efficiency of current intrusion detection, this paper proposes a Nearest Neighbor Intru-sion Detection algorithm based on Perceptual Hash Matrix.

zh-cn	首先计算训练集中入侵检测对象的感知哈希描述子，并将感知哈希描述子拼接成感知哈希矩阵;然后利用设计好的量化函数对矩阵中的哈希描述子进行量化，并按照感知哈希的性质对矩阵进行约简和调整;
en-us	Firstly, the perceptual Hash descriptors of the intrusion detection object in the training set is calculated, and the perceptual Hash descriptors are spliced into a perceptual Hash matrix;Then use the designed quantization function to quantize the Hash digest in the matrix, and reduce and adjust the matrix according to the nature of the perceived Hash.

zh-cn	在入侵检测阶段用该矩阵快速定位与待检测对象最相近的 K 个样本，利用 K 近邻的投票原则完成入侵检测任务。
en-us	In the intrusion detection phase, the matrix is used to quickly locate K samples closest to the object to be detected, using K nearest neighbors(KNN)'s voting principles to complete intrusion detection tasks.

zh-cn	通过理论分析及在 KDDCUP99 数据集上的相关实验验证了该方法以 O(n)的时间复杂度来快速定位最近邻的 K 个样本，在保持高检测率的同时降低了存储和计算方面的开销，从而更加有效的保护网络环境。
en-us	Theo-retical analysis and related experiments on the KDDCUP99 dataset show that the method can quickly locate the nearest neighbor K samples with the O (n)of time complexity, which can reduce the overhead of storage and calculation while maintaining high detection rate, and more effectively protect the network environment.

zh-cn	本文提出了一种基于拟态理论的主动防御的新型框架。
en-us	In this paper, a brand-new active defense framework based on CMD (Cyberspace Mimic Defense)theoryis proposed.

zh-cn	通过引入常微分动态系统来表述新型主动防御框架的动态化和结构化特点。
en-us	The dynamic and structural characteristics of this framework are described by introducing ordinary differential dynamic systems.

zh-cn	通过常微分方程，将部分现实中的复杂网络攻防问题转化为简单的、准确定义的资源对抗模型。
en-us	Through ordinary differential equations, some complex network attack and defense problems in reality are transformed into simple and precisely defined resource confrontation models.

zh-cn	由此，可以对通过异构冗余和自修复性构建的主动防御系统的关键构造获得一种对抗模型分析。
en-us	Hence, we can get a counter measure model by constructing key structural details of the active defense system based on the characteristics of heterogeneity, redundancy and self-repairing.

zh-cn	本框架可帮助实现对当前网络主动防御系统的有效性评估并通过选取有效的防御策略来加强系统安全性。
en-us	This framework can help to evaluate the effectiveness of current network active defense systems and enhance their security by selecting effective defense strategies.

zh-cn	针对经典前景提取算法无法在光照突变情况下正确提取前景的问题，根据 LBP 算子对光照不敏感的特性，提出了一种基于截尾均值的纹理特征提取算法，
en-us	In this paper we address the problem of foreground extraction from images where there is an abrupt changein illumination. This condition is not adequately handled by classical foreground extraction algorithms;thus, we propose a no-vel algorithm based on the censoring mean that relies on the LBP (Local Binary Pattern)operator's insensitivity to illumi-nation.

zh-cn	即通过对噪声的抑制及对平坦区域序列的稳定性处理，解决了原有 LBP 算子易受噪声干扰，平坦区域序列不稳定及得到的纹理图信息冗余的问题。
en-us	Our approach first solves issues related to the stability of the region sequence. In turn, this handles the problems of the original LBP operator being susceptible to noise interference, as well as the instability of the flat region sequence.

zh-cn	结合高质量纹理特征，根据纹理特征的光照不变性，设计了一种能有效应对光照突变情况的背景更新模型，
en-us	We have implemented a background updating model that is based on texture invariance, and can effectively deal with abrupt changes in illumination.

zh-cn	实验结果表明，本文提出的融合纹理特征的前景提取模型不仅能够在光照缓慢变化的情况下有效地对运动目标前景进行提取，而且在光照突变情况下仍然能够进行准确提取，
en-us	The experimental results show that our proposed method for the extraction of fusion texture features can han-dle both slow changes in light, as well as changes in the foreground due to moving objects. The accuracy of foreground ex-traction can still be improved under the condition of light mutation.

zh-cn	前景提取的准确率相比平均背景模型提高 61.7% ，相比混合高斯模型提高 59.3% 。
en-us	Our method performs favorably when judged against the average background model, where, the accuracy of foreground extraction is increased by 61. 7% and 59. 3% compared to the mixed Gaussian model.

zh-cn	ADC/DAC 是计算机技术的重要组成部分之一。
en-us	ADC /DAC is one of important parts of computer technology.

zh-cn	本文提出的桥电位架构 ADC，类似于流水线 ADC，也是由多个 StageADC 采用流水线方式构成。
en-us	The bridge-potential architecture ADC, simi-lar to the pipeline ADC, is also formed by multiple pipelined type of stageADCs. This paper presents two innovative points:

zh-cn	文中提出了两个创新点:一是桥电位架构，在某个瞬间，基准电位链中必有一个基准电位既对应着模拟输入信号，又对应着数字输出信号，称桥电位，
en-us	1.Bridge-potential architecture. At certain moment, there must be a reference potential in the reference potential chain that corresponds to both a digital output signal and an analog input signal, and this reference potential is called the bridge-poten-tial.

zh-cn	相对于流水线 ADC 而言，桥电位 ADC 中的基准电位链扩展了一项功能:将基准电位链中的桥电位直接取出与模拟输入信号相减就等于尾数电压，无需 SDAC;
en-us	Compared to the pipeline ADC, the reference potential chain in the bridge-potential ADC extended a function by extrac-ting the bridge-potential from the reference potential chain directly and subtracting it from the analog input signal, which is e-qual to the residue voltage and does not need a SDAC.

zh-cn	二是翻转点 ON 式零损开关链，由此构成桥电位提取模块，使得桥电位只需流经仅仅一个零损开关即可被取出。
en-us	2.Turning-point ON type zero-loss switch chain. Thus, the bridge po-tential extraction module is constructed, which enables the bridge-potential to go by only one zero-loss switch to be extrac-ted.

zh-cn	这两项改进使得每个 StageADC 都只包含了 SADC，而 SDAC 被摒弃。
en-us	With these two improvements, each Stage ADC is enabled to contain SADC only, while SDAC is discarded.

zh-cn	针对卷积神经网络中卷积运算复杂度高而导致计算时间过长的问题，本文提出了一种八级流水线结构的可配置 CNN 协加速器 FPGA 实现方法。
en-us	To solve the problem that the time consumption of convolutional neural network is too much, which ismostly caused by the high complexity of convolution operation, an FPGA implementation of a configurable CNN co-acceler-ator with eight-stage pipeline structure is proposed.

zh-cn	通过在卷积运算控制器中嵌入池化采样控制器的复用手段使计算模块获得更多资源，
en-us	By embedding the pooling controller in the convolution controller, the computational module is able to obtain more resources.

zh-cn	利用 mirror-tree 结构来提高并行度，并采用 Map 算法来提高计算密度，同时加快了计算速度。
en-us	Specially, a mirror-tree structure is designed to increase parallelism. Furthermore, to increase computational density and speed up calculation at the same time, the Map algorithm is implemented in this design.

zh-cn	实验结果表明，当精度为 32 位定点数/浮点数时，该实现方法的计算性能达到 22.74GOPS。
en-us	The experimental results show that the computing performance of this implementation reaches 22. 74 GOPS on32-bit fixed/float point.

zh-cn	对比 MAPLE 加速器，计算密度提高283.3% ，计算速度提高了 224.9% ，
en-us	Compared with MAPLE accelerator, the computational density is increased by 283. 3% , and the cal-culation speed is boosted by 224. 9% .

zh-cn	对比 MCA(Memory-Centric Accelerator)加速器，计算密度提高了 14.47% ，计算速度提高了 33.76% ，
en-us	Compared with MCA(Memory-Centric Accelerator), the computational density is in-creased by 14. 47% , and the calculation speed is boosted by 33. 76% .

zh-cn	当精度为 8-16 位定点数时，计算性能达到 58.3GOPS，对比 LBA(Layer-Based Accelerator)计算密度提高了 8.5% 。
en-us	With a precision range between 8-bit and 16-bit fixed point, the performance reaches 58. 3GOPS, and the computational density is increased by 8. 5% compared with LBA(Layer-Based Accelerator).

zh-cn	国际规范《TPM-Rev-2.0-Part-1-Architecture-01.38》允许用户基于密钥复制接口来设计密钥迁移协议以实现芯片间密钥的共享，并在复制过程中通过 innerwrap 和 outerwrap 为复制密钥提供机密性、完整性和认证性。
en-us	TPM specification allows users to design key migration protocol to share keys, and the key is provided with confidentiality, integrity and authentication through innerwrap and outerwrap process.

zh-cn	然而通过分析发现基于密钥复制接口设计的密钥迁移协议存在三个问题:
en-us	However, it is found that there are three problems in this protocol:

zh-cn	(1)缺少交互双方 TPM 的相互认证，会导致密钥能够在敌手和 TPM 间迁移;
en-us	(1)lack of authentication, which results in the fact that the key can be migra-ted between adversary and TPM ;

zh-cn	(2)当复制密钥的属性 encryptedDuplication = 0 且新父密钥的句柄 newParentHandle = TPM_RH_ NULL 时，复制接口不能实施 innerwrap 和 outerwrap，复制密钥将以明文传输而造成泄露;
en-us	(2)when encryptedDuplication = 0 and new parent Handle = TPM _RH_NULL, it can-not implement innerwrap and outerwrap, the key will be leakaged;

zh-cn	(3)当新父密钥是对称密钥时，innerwrap 中的对称加密密钥以及 outerwrap 中的密钥种子如何在源 TPM 与目标 TPM 之间安全交换，《TPM-Rev-2.0-Part-1-Architecture-01.38》并没有给出具体的解决办法。不仅如此，该协议流程还非常复杂，也无法统一，容易导致复制密钥泄露。
en-us	(3)when the new parent key is a symmetric key, how will the symmetric encryption key and the seed exchange securely between the source TPM and the target TPM .

zh-cn	针对以上问题，本文提出了基于 MAK(Migrate Authentication Key)和复制接口的新密钥迁移协议—MDKMP(Make Duplication Key Migration Protocol)。
en-us	To solve the above problems, a new key migration protocol M DM KP is proposed.

zh-cn	MDKMP 采用两阶段迁移模式，
en-us	The M DM KP uses a two-phase migra-tion mode.

zh-cn	第一阶段将源 TPM 密钥迁移到目的 TPM 的 MAK 下，
en-us	In the first phase, the key is migrated to the M AK of the destination TPM .

zh-cn	第二阶段再将密钥迁移到新父密钥下。
en-us	In the second phase, the key is migrated to the new parent key.

zh-cn	本文提出一种基于演进原则度量的软件架构持续演进效果评估方法(Software Architecture EvolutionPrinciples，SAEP)，
en-us	In this paper, we propose software architecture evolution principles(SAEP)to evaluate the evolution effect of software architecture based on the measurements of evolution principles.

zh-cn	首先该方法给出与软件架构演进相关的四个代表性的软件架构演进原则;
en-us	In SAEP, we firstly propose four representativeprinciples for software architecture evolution.

zh-cn	然后通过对这四个架构演进原则的度量结果评估软件架构的演进效果;
en-us	Secondly, the evolution effect of software architecture is evaluated based on the measurement of architecture evolution principles.

zh-cn	最后把本文的方法应用于 8 个代表性的开源项目，并分别进行有效性验证实验，
en-us	Finally, eight representative open source projects are performed by experi-ments for verifying the effectiveness respectively.

zh-cn	实验结果表明:无论是单个演进原则还是四个演进原则结合起来，均能有效反映软件架构演进效果的好坏。
en-us	The experimental results show that a single evolution principle or the com-bination of four evolution principles can effectively reflect the evolution effect of the software architecture.

zh-cn	单个原则用来关注软件架构特定方面的演进效果，四个原则结合起来关注软件架构的综合演进效果。
en-us	A single principlefocuses on a specific aspect of the evolution effects of the software architecture. The combination of four principles focuseson the comprehensive evolution effects of software architecture.

zh-cn	针对高速移动场景下信道快时变特性给多输入多输出(Multiple Input Multiple Output，MIMO)系统预编码带来的技术挑战，提出基于动态信道状态信息(Channel State Information，CSI)的 MIMO 系统改进模代数预编码(Tomlinson-Harashima Precoding，THP)算法。
en-us	Aiming at the technical challenges brought about by the fast time-varying characteristics of the channel inhigh-speed scenes to precoding in multiple input multiple output (MIMO)system, this paper proposes an improved Tomlin-son-Harashima precoding (THP)algorithm for MIMO systems based on the dynamic channel state information (CSI)mod-el.

zh-cn	该算法利用信道统计量信息以及相关性构建动态 CSI 模型，更准确实时地体现当前信道状况;
en-us	Channel statistical information and correlations are exploited to compensate instantaneous CSI, which could reflect currentreal-time channel status exactly.

zh-cn	进一步地，提出一种基于循环遍历搜索的多用户调度算法，以最大化信干噪比为目标进行用户调度，且将多用户调度算法应用到 THP 中，提高了预编码精度。
en-us	Further, aimed at maximizing the signal to interference plus noise ratio, a multi-user schedu-ling algorithm based on loop traversal search is proposed. And the multi-user scheduling algorithm is applied to THP, which could improve the precoding accuracy of the traditional THP.

zh-cn	仿真结果表明，所提算法相比传统预编码算法具有更优的误码率性能和信道容量，验证了所提算法能有效地适应高速移动场景。
en-us	Simulation results show that the proposed scheme can be effi-ciently applied to high-speed mobile scenario, and improve bit error ratio performance as well as channel capacity.

zh-cn	为解决相控阵雷达事件调度问题中调度成功率、时间偏移率与算法时效性三者之间的矛盾，本文提出一种基于分支定界法的调度算法;
en-us	To solve the contradiction of the scheduling success rate (SSR), the time shifting rate (TSR)and the al-gorithm timeliness in the task scheduling of phased array radar, this paper proposes a scheduling algorithm based on thebranch and bound method (BBM ).

zh-cn	该算法首先在现有调度结果上调取所有可执行事件，即获得若干“节点”，多步递推后由多“层”节点形成若干条备选“分支”，
en-us	Firstly, this algorithm acquires all executable tasks from available scheduling results, i. e. , obtaining several“nodes”on multiple“layers”, and forms several optional“branches”with these nodes through mul-tistep recursion.

zh-cn	扩大解空间范围，提高算法性能;
en-us	In this way, the range of solution space is extended, and the algorithm performance is improved.

zh-cn	然后通过“删减”操作删减掉收益较低分支，将解空间控制在一适当范围内，减小搜索盲目性，降低算法计算量。
en-us	Then, this algorithm“discards”branches with low yield and keeps the solution space to a certain range, which improves the accuracy of the algorithm and reduces the calculation amount.

zh-cn	仿真实验表明，与基于综合优先级算法的调度结果相比，利用本文算法调度时调度成功率提升了 52% ;
en-us	The simulation experiment indicated that compared with the algorithm based on integrated priority The simulation experiment suggested that the proposed algorithm enjoyed a 52% increase inscheduling success rate(SSR)over the traditional integrated priority algorithm,

zh-cn	与基于时间指针算法的调度结果相比，本身算法时间偏移率降低了 61% ;与基于遗传算法的调度结果相比，本文算法调度耗时仅为前者 1 ～ 2% 。
en-us	experienced a 61% reduction in the timeshifting rate(TSR)compared with the time pointer algorithm, and took only 1 ～ 2% of the time consumed by the genetic al-gorithm.

zh-cn	为增强工业级机器视觉系统的实时性和稳定性，本文提出一种基于等积环投影与 Zernike 矩的具有旋转不变性的快速模板匹配方法，
en-us	In order to enhance the real-time performance and stability of industrial-level machine vision systems, This paper proposes a fast template matching method with rotation invariance based on equal-area ring projection and Zernike mo-ments.

zh-cn	该方法采用由粗到精匹配策略，在粗匹配阶段以等积环投影向量作为特征进行匹配得到候选点集，再基于 Zenrike 矩进行精确匹配。
en-us	The method uses a coarse-to-fine matching strategy. The coarse matching stage uses the equal-area ring projection vector as the feature to obtain the candidates, and then use Zenrike moments to accurately match in candidates.

zh-cn	主要创新点为提出复杂度低、抗噪性强和具有旋转不变性的等积环投影向量特征，并利用圆对称性在八分圆法基础上进一步降低 Zernike 矩计算量。
en-us	The main contributions of this paper are proposing the equal-are ring projection vector feature with low complexity, noise insensitive and rotation invariance, and further reducing the computational cost of Zernike moments based on the octant circle method u-sing circular symmetry.

zh-cn	经理论分析和实验对比验证，此法在保障匹配精度前提下，其匹配速度胜于当前同类最优算法，且对高斯噪声及线性亮度变化有强鲁棒性。
en-us	Theoretical analysis and experimental results show that the proposed method is faster than the state-of-the-art algorithm under high matching accuracy, and it is robust to Gaussian noise and linear brightness variations.

zh-cn	光流场是目标检测，无人机定位等众多计算机视觉任务的重要基础。
en-us	Optical flow field is an important basis for many computer vision tasks such as target detection and un-manned aerial vehicle positioning.

zh-cn	本文针对非刚性大位移运动等困难运动类型图像序列光流计算的准确性与鲁棒性问题，提出一种基于非刚性稠密匹配的 TV-L1(Total Variational withL1 norm，TV-L1)大位移光流计算方法。
en-us	In order to develop the accuracy and robustness of optical flow estimation suffered from the difficult motion such as non-rigid movement and large displacement motion, this paper proposes a large displacement op-tical flow estimation approach based on non-rigid dense patch matching.

zh-cn	首先，使用非刚性稠密块匹配计算图像序列初始最近邻域场，其次根据图像相邻块区域的相似性消除初始最近邻域场中的非一致性区域以得到准确的图像最近邻域场。
en-us	Firstly, we utilize the non-rigid dense patch matc-hing to compute the initial nearest neighbor field between the consecutive frames, and eliminate the inconsistent regions of the computed nearest neighbor field according to the consistency of the neighboring patches in the image to obtain an accu-rate image nearest neighbor field.

zh-cn	然后，在图像金字塔分层计算框架下，将图像最近邻域场引入基于非局部约束的 TV-L1 光流估计模型，通过 Quadratic Pseudo-Boolean Optimization(QPBO)融合算法在金字塔分层图像光流计算时对 TV-L1 模型光流估计进行大位移运动补偿。
en-us	Secondly, we merge the nearest neighbor field into the TV-L1(Total Variational with L1norm, TV-L1)optical flow model, and employ the nearest neighbor field to compensate the large displacement optical flowof TV-L1 model by using the quadratic pseudo-Boolean optimization (QPBO)fusion algorithm during the coarse-to-fine computation scheme.

zh-cn	最后，采用标准测试图像序列对本文方法和当前代表性的变分方法 LDOF(Large Displacement Optical Flow，LDOF)、Classic + NL、NNF(NearestNeighbor Fields，NNF)以及深度学习方法 FlowNet2.0 进行对比分析。
en-us	Finally, we employ the standard test image sequences to evaluate the performance of our approach and some state-of-the-art methods including LDOF(Large Displacement Optical Flow, LDOF), Classic + NL, NNF(NearestNeighbor Fields, NNF)and FlowNet2. 0.

zh-cn	实验结果表明，本文方法能有效提高非刚性运动、大位移运动以及运动遮挡等困难运动类型光流估计的精度与鲁棒性。
en-us	The experimental results demonstrate that the proposed method has the higher ac-curacy and better robustness of optical flow estimation for difficult motion such as non-rigid movement, large displacementmotion and motion occlusion.

zh-cn	基于相关向量机的剩余寿命预测方法，核函数是影响相关向量机模型预测性能的重要因素。
en-us	For the remaining useful life (RUL)prediction method based on relevance vector machine (RVM), kernel function is the important item of RVM model for the final prediction result.

zh-cn	目前的相关向量机预测模型以单核为主，且核函数的选择存在较大主观性，导致所构建的预测模型性能有限。
en-us	The current RVM prediction models are domina-ted by single kernel, and the selection of RVM kernel is a little bit subjective. So, the prediction performance of the construc-ted RVM model is limited.

zh-cn	本文提出一种融合多个核函数构建相关向量机预测模型的方法，通过果蝇算法优化多个核函数优化组合的线性方程系数，提高了模型的预测性能，并将该方法应用于预测锂离子电池的循环剩余寿命。
en-us	To address this problem, a multi kernel RVM model is proposed for the RUL estimation, usingthe fruit fly optimization algorithm (FOA)to find the best corresponding coefficients of multi kernel in the linear combina-tion of multi kernel functions, and to improve the prediction performance of RVM model applied in the RUL estimation of lithium-ion battery.

zh-cn	分别采用美国 NASA 和马里兰大学的电池退化数据集，对本文的方法进行了实验验证。
en-us	The battery test data sets of the national aeronautics and space administration (NASA)and the center ofadvanced life cycle engineering (CACLE)in the university of Maryland are used respectively. Experiments have been car-ried out to test the performance of the proposed method.

zh-cn	实验结果表明:多核相关向量机预测方法的平均绝对误差和均方根误差都小于最优的单核相关向量机预测方法。
en-us	The results show that the mean absolute error (MAE)and rootmean square error (RMSE)of multi kernel RVM method are both less than the single kernel RVM algorithm.

zh-cn	具有高介电常数的栅绝缘层材料存在某种极化及耦合作用，使得 ZnO-TFTs 具有高的界面费米能级钉扎效应、大的电容耦合效应和低的载流子迁移率。
en-us	The gate insulator material with high dielectric constant has some polarization and coupling effect, which makes ZnO-TFTs have high interface Fermi level pinning effect, large capacitive coupling effect and low carrier mobility.

zh-cn	为了解决这些问题，本文提出了一种使用 SiO2修饰的 Bi1. 5Zn1. 0Nb1. 5O7作为栅绝缘层的 ZnO-TFTs 结构，分析了 SiO2修饰对栅绝缘层和 ZnO-TFTs 性能的影响。
en-us	To solve these problems, in this paper, a kind of ZnO-TFTs structure using SiO2 modification of Bi1. 5Zn1. 0Nb1. 5O7as gate insu-lator was proposed. The effect of SiO2 modification on the performance of gate insulator and ZnO-TFTs was systematically investigated.

zh-cn	结果表明，使用 SiO2修饰后，栅绝缘层和 ZnO-TFTs 的性能得到显著提高，使得 ZnO-TFTs 在下一代显示领域中具有非常广泛的应用前景。
en-us	The results showed that the properties of gate insulators and ZnO-TFTs were significantly improved after SiO2 modification, which makes ZnO-TFTs have a very wide application prospect in the next generation display field.

zh-cn	栅绝缘层的漏电流密度从 4. 5 × 10－ 5A/cm2降低到 7. 7 × 10－ 7A/cm2，粗糙度从 4. 52nm 降低到 3. 74nm，ZnO-TFTs 的亚阈值摆幅从 10V/dec 降低到 2. 81V/dec，界面态密度从 8 × 1013cm－ 2降低到 9 × 1012cm－ 2，迁移率从 0. 001cm2/(V·s)升高到 0. 159cm2/(V·s)。
en-us	The leakagecurrent density and roughness of gate insulators decreased from 4. 5 × 10－ 5A /cm2to 7. 7 × 10－ 7A /cm2and from 4. 52nm to3. 74nm, respectively. The sub-threshold swing and interface state density of ZnO-TFTs decreased from 10V /dec. to 2. 81V /dec. and from 8 × 1013cm－ 2to 9 × 1012cm－ 2, respectively. The mobility of ZnO-TFTs increased from 0. 001cm2/(V·s)to0. 159cm2/(V·s).

zh-cn	缓存侧信道攻击的基础是程序针对不同敏感信息将访问不同的缓存地址。
en-us	The root cause of cache-based side-channel attacks is that the application will access different cache memo-ry depending on different values of sensitive information.

zh-cn	本文提出基于符号执行的缓存侧信道脆弱性检测技术，通过符号化敏感信息的数据传播过程定位潜在的脆弱点，
en-us	This paper proposes a symbolic-execution-based vulnerability de-tection technology to identify the code in an application that can be exploited in cache attacks.

zh-cn	并通过比较其可能的不同缓存访问地址，判断上述代码在缓存攻击中的可利用性。
en-us	It analyzes program's datapropagation of symbolized sensitive information to locate candidate vulnerabilities, and determines the exploitability through comparison of different possible accessed cache addresses.

zh-cn	本文开发了原型系统 CSCVulDiscover，并针对 RSA 等 3 种密码算法的 12 类实现代码进行测试，总共发现了 125 个脆弱点。
en-us	A prototype system called CSCVulDiscover is developed and test-ed against 12 kinds of implementation of 3 popular cryptographic algorithms including RSA, and the result shows that 125 vulnerabilities are detected.

zh-cn	多尺度量子谐振子算法(MQHOA)的能级稳定过程是算法的核心部分，对于避免算法陷入局部最优、提高算法求解精度具有重要作用。
en-us	The energy level stabilization process of the multi-scale quantum harmonic oscillator algorithm (MQHOA)is the core part of the algorithm, which plays an important role in avoiding the algorithm falling into local optimum and im-proving the accuracy of the algorithm.

zh-cn	对算法能级稳定过程进行研究，发现不同的能级稳定判据，会造成算法在同一能级下不同的表现。
en-us	In the studying of the energy level stabilization process of the algorithm, it is foundthat different energy level stabilization criteria will result in different performance of the algorithm at the same energy level.

zh-cn	相对宽松的判据使算法在能级稳定过程中迭代不充分，容易陷入早熟。
en-us	The relatively loose criterion makes the iteration of the algorithm inadequate in the process of energy level stabilization andeasy to fall into premature.

zh-cn	而更严格的判据能使波函数在同一能级下达到稳定状态，提高算法的全局搜索能力，但会增加算法的计算代价。
en-us	The more stringent criterion can make the wave function reach a stable state at the same energylevel, improve the global search ability of the algorithm, but meanwhile the computing cost will also rise.

zh-cn	通过实验证明，相对宽松的能级稳定判据对单峰简单函数具有良好的求解效果，严格的能级稳定判据适用于算法对多峰复杂函数的求解。
en-us	Experiments show that loose energy level stability criterion of the algorithm has good effect on solving unimodal simple functions, and strict en-ergy level stability criterion of it is suitable for solving multimodal complex functions.

zh-cn	算法在资源优化、自适应控制及能耗优化管理等方面已取得有效应用。
en-us	The algorithm has been effectively ap-plied in resource optimization, adaptive control and energy consumption optimization management.

zh-cn	传统相控阵雷达中的调度算法难以充分发挥数字阵列雷达的多功能优势。
en-us	Traditional scheduling algorithms in the phased array radar cannot be utilized to fully release multi-functionpotential of digital array radar.

zh-cn	针对这一问题，结合数字阵列雷达的任务结构，提出一种在线交错调度算法。
en-us	Aiming at this problem, an online interleaving scheduling algorithm is proposed on the basis of the task internal structure.

zh-cn	通过将交错调度分析分解为时间资源约束分析和能量资源约束分析，算法能够对所有满足约束的任务进行交错调度:
en-us	By decomposing the interleaving scheduling analysis into the time resource constraint analysis and the energy resource constraint analysis, the algorithm is able to interleave all kinds of tasks as far as they meet the re-source constraints.

zh-cn	利用任务中的等待期来交错执行其它任务的发射期或接收期，并且不同任务的接收期可实现相互交叠。
en-us	Thereby not only the waiting duration is utilized to execute other task's transmitting duration or receiving duration, but also receiving durations of different tasks are able to be overlapped.

zh-cn	仿真结果表明，由于雷达任务中等待期和接收期得到充分利用，相比于三种传统的调度算法，所提算法的调度成功率、实现价值率和时间利用率均得到有效提升。
en-us	The simulation results show that, due to the efficient usage of the waiting duration and the receiving duration, the proposed algorithm effectively improves the successful scheduling ratio, the high value ratio and the time utilization ratio compared with the three existing algorithms.

zh-cn	短文本相似度计算在社会网络、文本挖掘和自然语言处理等领域中起着至关重要的作用。
en-us	Text similarity measures play a vital role in text related applications in tasks such as social networks, text mining, natural language processing, and others.

zh-cn	针对短文本内容简短、特征稀疏等特点，以及传统的短文本相似度计算忽略类别信息等问题，提出一种融合耦合距离区分度和强类别特征的短文本相似度计算方法。
en-us	The typical characteristics of short texts demonstrate severe sparseness and high dimension while the traditional short texts similarity calculation always ignores category information. A coupled distance discrimination and strong classification features based approach for short text similarity calculation, CDDCF, is presented.

zh-cn	一方面，在整个短文本语料库中利用两个共现词之间的距离计算词项共现距离相关度，并以此来对词项加权从而捕获词项间内联和外联关系，得到短文本的耦合距离区分度相似度;
en-us	On the one hand, co-occurrence distance between terms are considered in each text to determine the co-occurrence distance cor-relation, based on which the weight for each term can be determined and the intra and inter relations between words are es-tablished. The similarity of coupling distance discrimination on short text can be captured.

zh-cn	另一方面，基于少量带类别标签的监督数据提取每类中强类别区分能力的特征项作为强类别特征集合，并利用词项的上下文来对强类别特征语义消歧，然后基于文本间包含相同类别的强类别特征数量来衡量文本间的相似度。
en-us	On the other hand, strong classifi-cation features are extracted via labeled texts. The similarity between two short texts is measured by using the common num-ber of strong discrimination features with the same context.

zh-cn	最后，本文结合耦合距离区分度和强类别特征来衡量短文本的相似度。
en-us	Finally, the distance discrimination and strong classification fea-tures are unified into a joint framework to measure the similarity of short texts.

zh-cn	经实验证明本文提出的方法能够提高短文本相似度计算的准确率。
en-us	Experimental results show that CDDCF per-forms better compared to baseline algorithms in term of its performance and efficiency of similarity computation.

zh-cn	在实际数据收集中，不同敏感值的敏感度有很大差异，隐私保护需求也不相同。
en-us	In actual dada collection, the sensitivity of different sensitive information is different so that the concrete privacy need is different, too.

zh-cn	然而，现有的基于随机响应的本地化隐私保护模型针对所有敏感值都执行同样程度的隐私保护，
en-us	However, the existing local privacy preservation model based on randomized response (RR), which is called conventional randomized response (CRR)for convenience, focuses on a universal approach that exerts the same amount of preservation for all sensitivity values, without catering for their concrete privacy needs.

zh-cn	从而可能造成某些低敏感度的敏感值过度保护，而某些高敏感度的敏感值却保护不足。
en-us	As a result, it may be offering insufficient protection to a subset of people with relatively higher privacy needs, while applying excessive privacycontrol to another subset with relatively lower privacy needs.

zh-cn	基于此，本文在常规随机响应(Conventional Randomized Response，CRR)模型的基础上，考虑个性化的隐私需求，引入敏感值权重，并将其引入到随机响应的决策中，提出一种面向多敏感值的个性化随机响应(Personalized Randomized Response，PRR)机制，该机制能够确保不同的敏感值群体均能达到各自期望的隐私保护程度，实现个性化的隐私保护。
en-us	Based on this, a new framework which is called personalized randomized response (PRR)is proposed based on the concept of CRR for multiple sensitive values-oriented personalized privacy preservation. The PRR technique considers personalized privacy needs, introduces sensitive value weights for differ-ent sensitive values, and then introduces the weights into the decision of RR for satisfying all sensitivity values'privacy needs, and thus, attains personalized privacy preservation.

zh-cn	理论分析和仿真实验表明，在机制的主观隐私泄露程度一定时，相比于CRR 模型，本文所提的 PRR 机制统计估计误差更小，即获得的统计数据的质量更高，同时又保证了个性化的隐私保护。
en-us	Both theoretical derivation and simulation experiment reveal that the estimate error of statistics of PRR mechanism is smaller than that of the CRR mechanism for a certain subjective degree of privacy leakage, that is, the quality of statistics obtained by PRR mechanism is higher than that of the CRR model while guaranteeing personalized privacy protection for a given subjective degree privacy preservation.

zh-cn	单相全桥逆变器处于硬开关状态时，随着开关频率的增大，开关损耗明显增大，影响逆变器效率的提高。
en-us	When a single-phase full-bridge inverter works in the hard-switching state, the switching loss will increasesignificantly with the increasing of switching frequency, so that it will affect the efficiency of the inverter.

zh-cn	为解决这一问题，提出了一种节能型单相全桥谐振极逆变器，在逆变器处于死区状态时，将要开通的主开关并联的谐振电容的电压能减小至零，
en-us	In order to solve this problem, an energy-saving single-phase full-bridge resonant pole inverter is proposed. When the inverter is in the deadstate, the voltage across the resonant capacitor in parallel with the main switch can decrease to zero via the resonance of the auxiliary circuit.

zh-cn	主开关动作时能完成零电压软切换，双向辅助开关动作时能完成零电流软切换。
en-us	The main switch can achieve zero-voltage switching, and the bidirectional auxiliary switch can realize zero-current switching.

zh-cn	讨论了电路的工作流程，实验结果表明主开关和辅助开关完成了软切换动作。
en-us	The operation process of the circuit in a switching cycle is analyzed. The experimental results show that the main switch and auxiliary switch can realize soft-switching.

zh-cn	该单相全桥软开关逆变器可以向高开关频率的场合推广应用。
en-us	Therefore, the single-phase full-bridge soft-switching invertercan be applied at high switching frequency.

zh-cn	卷筒纸印刷机折页机构是一种存在耦合的非线性齿轮系统。
en-us	web-offset press is a kind of coupling nonlinear dynamic system.

zh-cn	运用集中质量法、牛顿第二定律、微分方程及级数理论和方法，考虑变啮合刚度、齿侧间隙、动态传递误差等非线性因素，建立卷筒纸印刷机折页机构齿轮系统单自由度非线性动力学模型。
en-us	We use the lumped mass method, New-ton's second law, the differential equations and series theory and method to establish the gear system nonlinear dynamic modeling of web-offset printing machine wherein the time-varying meshing stiffness, backlash, dynamic transmission error and other nonlinear factors were considered.

zh-cn	引入由状态量、控制量与自变量时间为坐标构成的“广义状态空间”，
en-us	the concept of general time-state space comprising of state variables, control var-iable and time is established.

zh-cn	将卷筒纸印刷机折页机构齿轮系统动力学模型变为广义状态空间上的系统状态方程。
en-us	Then the model of web-offset printing machine can be transformed into a state equation of nonlinear system.

zh-cn	在广义状态空间将方程的右端展开为时间的 Taylor级数，进一步直接积分获得非线性控制系统状态方程关于自变量时间的级数解，最终获得状态方程的解析解。
en-us	In order to solve the state equation of nonlinear control systems, at the operation point of general time-statespace, the right side of the state equation can be expanded as Taylor series about time. Then the series solution of the nonlin-ear control state equation, for which the solution is expression in time series, can be obtained by using direct-integrating ap-proach.

zh-cn	使用Matlab 软件，对状态方程的解析解进行仿真，得到齿轮转动的角速度与角加速度与时间关系曲线。
en-us	Then we use Matlab to simulate the equation of the web-offset printing machine's gear system.

zh-cn	得到的曲线与实际情况进行对比，验证了动力学模型与状态方程解析解的正确性。
en-us	We obtain the curves of the relationship of gear's angular velocity and time and the relationship of angular acceleration and time. we contrast these curves and the facts. the contrast result verifies the validity of the dynamic model and the analytic solution of the system e-quation.

zh-cn	可视化技术有利于对高维多目标优化问题求解所得的解集进行评价与分析，但是现有的高维多目标可视化方法无法有效保持解集的 Pareto 支配关系、前沿密度分布及形状。
en-us	Visualization technology is conducive to the evaluation and analysis of the solution sets obtained by solvingmany-objective optimization problem, but the existing many-objective visualization technology cannot effectively preserve Pareto dominance relation, maintain frontier distribution and retain shape.

zh-cn	针对以上问题，本文提出类圆映射可视化方法。
en-us	To solve the above problems, this paper presentsquasi-circular mapping visualization.

zh-cn	首先将多目标按相关性均匀排列在单位圆圆弧上，根据适应度函数值将解集映射为类圆空间内的一个多边形，并通过多边形的几何中心和面积对解集进行 3 维可视化。
en-us	Many-objective are uniformly distributed in order on a unit arc according to their corre-lation. Based on the fitness function value, the solution sets are mapped into a polygon in quasi-circular space. So 3 dimen-sional visualization of the solution set is achieved through the geometric center and area of polygons.

zh-cn	在此基础上对类圆支配与均衡性进行了定义，并对类圆映射下的支配关系、映射遮挡等进行了理论分析与证明。
en-us	On the basis of this, thequasi-circular domination and equilibrium are defined. The dominance relation and mapping occlusion under quasi-circularmapping are theoretically analyzed and proved.

zh-cn	与平行坐标系、主成分分析方法和径向可视化方法相比表明，本文方法能保持解集 Pareto 支配关系，并能反映解集在原始空间的密度分布和形状。
en-us	Compared with parallel coordinates, principal component analysis and radial visualization, this method can preserve the Pareto dominance.

zh-cn	此外，还能有效避免解集映射点遮档。
en-us	In addition, it can also reflect frontier distribution and shape inthe original space and effectively avoid data blocking.

zh-cn	其有利于决策者进行可视化评价和选择高维多目标解集。
en-us	It helps decision makers to evaluate and select many-objective solutionsets visually.

zh-cn	在多模模式下，对侧向散射应答信号的模式特性、频率特性以及群距离特性进行了仿真分析，
en-us	In multi-mode mode, pattern characteristics, frequency characteristics and distance characteristics of the ion-osphere side scatter response signals are simulated.

zh-cn	并与获取的试验数据进行对比分析，验证了基于点到点的电离层侧向散射特性与两条链路上电离层特性关系，
en-us	Comparing with the obatained experimental data, ionospheric side scatter characteristics and the relationship between the ionosphere characteristics on of the two links based on point-to-point are veri-fied.

zh-cn	即电离层侧向散射的模式是侧向散射两条链路模式的组合，
en-us	The mode of ionospheric side-scattering is a combination of two link modes of side-scattering.

zh-cn	每一个组合模式的最小可用频率与两个模式最小频率的较大值相对应，组合模式的最大可用频率与两个模式最大频率的较小值相对应，
en-us	The minimum available frequency of each combination mode corresponds to the larger value of the minimum frequency of the two modes. The maxi-mum available frequency of the combination mode corresponds to the smaller value of the maximum frequency of the two modes.

zh-cn	每一组合模式的群距离是两种组合模式的群距离的和，为后续电离层特性的研究，以及电离层侧向散射对目标探测、多基地定位、工作参数选择等具有重大的意义。
en-us	The group distance of each combination mode is the sum of the group distances of the two combination modes. It is of great significance, for the study of subsequent ionospheric characteristics ionospheric side scattering for target detection, multi-base positioning, operating parameter selection, etc.

zh-cn	针对复杂战场环境下机动目标跟踪难题，提出一种认知雷达目标跟踪算法。
en-us	A cognitive radar target tracking algorithm is proposed for the tracking problem in complex battlefield envi-ronment.

zh-cn	基于人类“感知-行动”循环思想，首先把目标径向距离、径向速度和方位等量测的克拉美罗下限近似为量测误差协方差，用信息熵描述目标跟踪的不确定性，
en-us	Based on the theory of human“perception-action”cycle, first, the Cramer-Rao lower bound (CRLB)of target ra-dial distance, radial velocity and azimuth is approximated to the measurement error covariance.

zh-cn	然后以最小熵为准则建立了雷达接收端数据和发射端信号处理之间联系;
en-us	Then, the information entropyis used to describe the uncertainty of target tracking, and the connection between data processing in radar receiver and signal processing in radar transmitter is established with the criterion of minimum entropy.

zh-cn	为避免传统交互式多模型(In-teracting Multiple Model，IMM)算法由于模型转移概率设置不合理所带来的跟踪精度下降问题，受人脑三阶段记忆机制启发，将“记忆”嵌入 IMM 算法，通过自适应调整模型转移概率，增强了优势模型的交互主导性，弱化了不匹配模型的不良竞争。
en-us	Furthermore, inspired by the three stagememory mechanism of human brain, “memory”is nested in Interacting Multiple Model (IMM)algorithm to overcome thetracking precision degradation problem when the model transition probability is set improperly. Thus, the transition probabili-ty can be adaptively adjusted to enhance the dominant model and weaken the bad competition of the mismatched model.

zh-cn	仿真实验验证了算法的有效性。
en-us	The simulation results verify the effectiveness of the proposed algorithm.

zh-cn	基于非负矩阵分解的语音去噪，在提高语音信号信噪比的同时，也会引起语音失真，从而导致噪声环境下说话人确认系统性能下降。
en-us	While nonnegative matrix factorization based speech enhancing methods can improve signal to noise ratio(SNR)of recovered speech signal, these methods lead to the speech distortion, and thus degrade the performance of speaker verification system under noisy environment.

zh-cn	本文提出基于分区约束非负矩阵分解的语音去噪方法(Nonnegative Matrix Factorizationwith Partial Constrains，PCNMF)，目的是在未知和非平稳噪声条件下提高话人确认系统的鲁棒性。
en-us	This paper proposes a nonnegative matrix factorization with partial constrains(PCNMF), with objective of enhancing the robustness of speaker verification system in presence of unknown and unstable noises.

zh-cn	PCNMF 在满足分区约束条件的基础上分别构建语音字典和噪声字典。
en-us	PCNMF constructs the speech and noise dictionaries while satisfying partition conditions.

zh-cn	考虑到传统语音训练产生的语音字典往往含有一定的噪声成分，PCNMF 通过数学模型产生基音及泛音频谱，在此基础上利用该频谱模仿人声的共振峰结构来合成字典，从而保证语音字典纯净性。
en-us	Considering that the speechdictionary generated by traditional speech training contains a little noise element, PCNMF generates speech dictionary usingthe spectra of pitch and their harmonics via mathematical model, and accordingly imitates the formant structure of human voice. The purpose is to guarantee the purity of speech dictionary.

zh-cn	另一方面，为了克服传统噪声字典构建方法带来的部分噪声信息丢失问题，PCNMF 对在线分离出的噪声样本进行分帧和短时傅里叶变换，然后以帧为单位线性组合生成噪声字典。
en-us	In addition, in order to alleviate the problem about the loss of the information of the noise sample, PCNMF performs framing operation and Short-Time Fourier Transform against the noise samples separated online, and then generates noise dictionary by means of linear combination of the spectrum frames of the noise samples.

zh-cn	性能评估实验引入了多种噪声类型，实验结果表明 PCNMF 可有效提高说话人确认系统的鲁棒性，特别是在未知和非平稳噪声条件下其等错率相比基线系统(Multi-Condition)平均降低了 5.2% 。
en-us	Our experiment takes unknown and unstable noises into account, demonstrating that the proposed PCNMF achieves significant improvement of robustness under various noise conditions. Particularly, the equal error rate of PCNMF isreduced by an average of 5. 2% in comparison with the base-line (Multi-Condition system).

zh-cn	结合目标雷达散射截面积的随机性，该文提出了一种针对多目标定位的稳健功率分配算法。
en-us	Taking into account the probabilistic uncertainty on the target radar cross section parameter, a robust powerallocation scheme is presented for multiple target localization.

zh-cn	目的是在高概率满足多目标定位精度约束的前提下，尽可能的节省集中式多输入多输出(Multiple-Input Multiple-Output，MIMO)雷达的功率资源。
en-us	The aim of this scheme is to minimize the total power con-sumption of the colocated MIMO radar, while meeting a specified multi-target localization accuracy requirement with high probability.

zh-cn	该文首先推导了各个目标定位误差的克拉美罗界(Cramer-Rao Lower Bound，CRLB)。
en-us	Firstly, the Cramer Rao Lower Bound (CRLB)is derived.

zh-cn	然后以最小化MIMO 雷达发射功率为目标，在满足多目标定位 CRLB 不大于给定误差的联合概率超过某一置信水平的条件下建立了机会约束模型。
en-us	Then, the chance constrained model is built with the objective of minimizing the total transmit power of the colocated MIMO radar, while the joint CRLB outage probability isenforced to be greater than a specified probability.

zh-cn	通过构建问题的库恩塔克条件，该文将机会约束问题等效变换为非线性方程求解问题，并解析地给出了最优解表达式。
en-us	By formulating the Karush-Kuhn-Tuckers conditions, we transform the re-sulting chance constrained problem into a nonlinear equation solving problem, and then obtain its optimal solution in an ana-lytical form.

zh-cn	最后，仿真实验验证了算法的有效性和稳健性。
en-us	Finally, the effectiveness and robustness of the proposed algorithm are verified by the simulation results.

zh-cn	峰值功率是影响数据中心能效的一个重要因素。
en-us	Peak power is a critical factor on the power consumption of a data center.

zh-cn	本文提出一种功率感知数据库系统中连接算法的峰值功率估算方法，非运行时峰值功率的估算的挑战在于没有运行时的系统信息作为模型的输入。
en-us	This paper proposes a peakpower estimation method to predict the peak power to join operations in DBM S. The challenge of non-runtime peak power estimation lies in that there is no runtime system information to use for model construction.

zh-cn	为克服估算困难，提出使用 CPU 密集度作为 CPU 功耗指示量，理论上分析了异步 I/O 连接算法在峰值功率发生阶段的特性，
en-us	To overcome this is-sue, this paper uses CPU-boundedness as the proxy of CPU power consumption and analyzes the characteristics of the peak power occurring stage of join algorithms with async I /O in theory.

zh-cn	通过模拟连接算法峰值功率发生阶段算法行为来估算该阶段最大 CPU 密集度，通过 CPU 密集度与 CPU 功率的内在联系建立异步I/O 连接算法的峰值功率预测模型。
en-us	By simulating the behavior of this stage, we es-timate the maximal CPU-boundedness of join algorithms. By examining the relationship between the CPU-boundedness and CPU power, the peak power models of join algorithms under different CPU execution frequency are hence construc-ted.

zh-cn	实验对数据库系统中采用异步 I/O 机制的四个连接算法时模型准确性进行了验证，结果表明所提预测方法具有较好的预测准确性，平均相对误差低于 7% 。
en-us	Experiments validate the effectiveness of the proposed models on three typical join algorithms in DBM S with asyncI /O techniques. Results showed that our proposed methods had good accuracy with the average relative error lessthan 7% .

zh-cn	本文提出了一种有监督主题模型的 SLDA-TC(Supervised LDA-Text Categorization)文本分类方法，引入主题-类别概率分布参数，识别主题-类别的语义信息;
en-us	In this paper, SLDA-TC, a novel text categorization model based on supervised topic model is proposed. The new parameter represents the probability distribution of topic-category is introduced.

zh-cn	提出 SLDA-TC-Gibbs 主题采样新方法，对每个词的隐含主题采样，只从该词所在文档的同类其它文档中采样，并给出了理论推导;
en-us	The SLDA-TC-Gibbs sampling al-gorithm is presented. At each iteration, a word's latent topic sampling only utilizes the other training documents having the same category with the document the word occurred, meanwhile, the theoretical proof is given.

zh-cn	另外，其主题数只需略大于类别数。
en-us	In the SLDA-TC model, the number of topics is only slightly larger than the number of categories.

zh-cn	实验表明，对比LDA-TC(LDA-Text Categorization)和 SVM 算法，本方法能提高分类精度和时间性能。
en-us	The experimental results demonstrate that the SLDA-TC model promotes the accuracy and speed for text classification compared with the LDA-TC and SVM algorithms.

zh-cn	为实现突发事件的应急决策和态势评估，满足对重点区域的地面全景或空间立体信息可靠节能地远距离传输要求，本文将无人机(Unmanned Aerial Vehicle，UAV)作为空基感测平台，研究应急移动物联网应用中无人机编队能量受限条件下的远距离通信问题，提出面向非完整约束多地面移动中继的协同任务规划方法。
en-us	In order to realize emergency decision-making and situation assessment, and to satisfy the requirement ofreliable and energy-saving long-distance transmission of panoramic or spatial stereoscopic information in key areas, this pa-per takes UAV as space-based sensing platform to study the long-distance communication of UAV formation under energy-constrained conditions in emergency mobile Internet of Things applications. A cooperative task planning method for nonholo-nomic constrained ground mobile relays is analyzed.

zh-cn	首先，对该类物联网进行系统建模;
en-us	For this emergent mobile Internet of Things, first, its model is derived.

zh-cn	其次，根据所建模型中无人机空基平台立体地分布于重点空域的特点，研究了地面移动中继区域分配算法、位置更新算法。
en-us	Second, according to UAV air base platform scattering in the key airspace, area-division algorithm and location update algo-rithm for ground mobile relays are studied.

zh-cn	在提供可靠节能通信的同时，确定其覆盖范围和最优布署方案。
en-us	The algorithms ensure a reliable and energy-efficient communication by deciding the ground mobile relay coverage area and optimal deployment scheme.

zh-cn	再次，针对地面移动中继非完整约束导致的对 UAV 空基平台分簇覆盖的拓展性不足，研究了多个地面移动中继的联合运动策略，以应对部分地面移动中继失效或因降低移动物联网的成本而出现地面移动中继数量减少的状况。
en-us	Third, joint motion strategy for multiple ground mo-bile relays is researched to improve the expansibility of ground mobile relays for covering the UAV clusters, which is causingby nonholonomic constraints. It is useful to deal with the ground mobile relays failure or costs reduce.

zh-cn	最后，通过实验验证了本文所提方法的有效性。
en-us	Finally, the effective-ness of the proposed method is verified through experiments.

zh-cn	主瓣干扰对抗一直以来是雷达领域的难题之一，给雷达的探测、跟踪和识别带来了严重威胁。
en-us	The suppression of mainlobe jamming (MLJ)is a hard task and an open problem in the radar field, and it brings a big challenge for radar target detection, tracking, and identification.

zh-cn	对此，本文提出了一种主瓣干扰环境下的雷达目标参数“同维”稀疏估计方法，可有效抑制主瓣干扰并估计目标距离、角度参数。
en-us	Hence, we propose a“same dimension”sparse estimation method for radar target parameter in MLJ. The proposed method can effectively suppress the MLJ and simultane-ously estimate the target range and angle.

zh-cn	所提方法首先对接收信号进行阻塞矩阵预处理，可在抑制主瓣干扰的同时保持目标回波在各阵元之间的相位关系，即保留了目标的角度信息;
en-us	Precisely, the block matrix preprocessing (BMP)algorithm is adopted to suppressthe MLJ, and the target angle information can be hold on.

zh-cn	然后对预处理后的数据进行空域波束合成并脉压，可估计目标的距离参数信息;
en-us	Then the target range is estimated effectively through the beam-forming and pulse compression.

zh-cn	最后，根据得到的目标距离估计，截取预处理数据中目标附近的数据，并对其进行稀疏恢复估计目标角度参数。
en-us	According to the target range estimation result, the preprocessed data should be interceptedas training samples for the target angle estimation.

zh-cn	所提方法即可应用于面阵，也可应用于线阵，
en-us	The proposed method can be applied for linear array and planar array.

zh-cn	其优势在于可以在空域任何一维上抑制主瓣干扰，并同时估计目标在空域两维上的角度。尤其是当目标与干扰的某一维空域角度相同时，所提方法仍然可以同时估计目标的方位、俯仰角。
en-us	It is worth pointing out that the proposed method can effectively estimate the target azimuth and elevation simultaneously when the target azimuth (or elevation)equals to the jamming azimuth (or elevation).

zh-cn	脉压被广泛用于雷达系统以提高系统分辨率。
en-us	As a wide spread technology in radar systems, pulse compression is used to improve the radar resolution.

zh-cn	随着宽带雷达的不断发展，雷达脉压点数也在不断增长。
en-us	With the development of wide band radar systems, the points of pulse compression become larger and larger.

zh-cn	本文介绍了一种基于二维分解超长点数 FFT 算法的超长点数频域脉压实现方法。
en-us	A method of fast implementation of ultra-long points pulse compression in frequency domain based on 2-D FFT algorithm is proposed.

zh-cn	在 TMS320C6678 评估板上的试验结果表明，新方法较传统方法效率提升超过 20% ，
en-us	TMS320C6678 EVM board is used to test the new method. The experiment result shows that the efficiency of the proposedmethod is improved by more than 20% compared with the traditional methods.

zh-cn	单片主频 1GHz 的 C6678 完成 128K 点脉压仅需约 0.81ms。
en-us	128K points pulse compression can be fin-ished in about 0. 81ms by only one 1GHz TMS320C6678 chip.

zh-cn	针对 D2D(Device-to-Device，D2D)通信过程中的资源分配问题，提出一种联合链路共享和功率分配算法。
en-us	Considering resource allocation in Device-to-Device (D2D)communications, a joint link sharing and pow-er allocation algorithm is proposed.

zh-cn	在保证系统内蜂窝用户服务质量(Quality of Service，QoS)需求的前提下，利用系统的信道状态信息，为 D2D 用户生成一个由蜂窝用户组成的通信链路的候选集合;
en-us	On the premise of guaranteeing the Quality of Service (QoS)requirements of cellularusers in the system, a candidate set of communication links composed of cellular users is generated for the D2D users by u-sing the channel state information of the system.

zh-cn	在通信链路候选集合内使用凸优化方法得到 D2D 用户最优功率分配策略;
en-us	The optimal power allocation strategy for D2D users is obtained by using the convex optimization method in the candidate set of communication links.

zh-cn	最后利用(Kuhn-Munkres，KM)算法求解最大加权二部图匹配 (Maximum Weight Bipartite Matching，MWBM)问题，为 D2D 用户选择最优的蜂窝用户进行资源共享。
en-us	Finally, the Kuhn-Munkres (KM)algorithm isused to solve the maximum weight bipartite matching (MWBM)problem to find an optimal cellular user partner for eachD2D pair to share the resources.

zh-cn	仿真结果表明该算法能有效的提升通信网络的吞吐量，可以为D2D 用户选择最优的资源分配策略。
en-us	Simulation results show that the proposed algorithm can significantly improve the through-put of the communication system and can select the optimal resource allocation strategy for D2D users.

zh-cn	软件定义网络(Software Define Network，SDN)将控制层和数据层进行分离，给网络带来灵活性、开放性以及可编程性。
en-us	Software-Defined Networking (SDN)separates data plane from control plane, which makes it more flexi-ble, opening and programmable, compared with traditional IP networks.

zh-cn	然而，分离引入了新的网络安全问题。
en-us	However, the separation incurs many security prob-lems.

zh-cn	我们发现通过构造特定规则可以构造跨层回环攻击，使得数据包在控制器和交换机之间不断循环转发。
en-us	In this paper, we find that we can construct controller-to-switch loop (CSL)attacks by leveraging dedicated rules andwell constructed packets.

zh-cn	跨层回环会造成控制器拥塞，并导致控制器无法正常工作。
en-us	The attacks can effectively exhaust controller resource, which leads to denial of service (DoS).

zh-cn	现有的策略一致性检测方案并不能检测跨层回环攻击。
en-us	The existing OpenFlow policy verification schemes only focus on detecting data plane loop, and cannot detect such controller-to-switch loops.

zh-cn	为此，本文提出了一种实时检测和防御跨层回环的方法。
en-us	In order to detect CSL attacks, we proposed a novel policy verification scheme.

zh-cn	通过构造基于 Packet-out的转发图分析规则路径，从而快速检测和防御回环。
en-us	The scheme constructs a packet forwarding graph by analyzing network update events and packet-out messages, and efficiently identifies the forwarding loopsby traversing the graph.

zh-cn	我们在开源控制器 Floodlight 上实现了我们提出的回环检测和防御方案，并在 Mininet 仿真器上对其性能进行了评估，结果表明本方案能够实时检测并有效防御跨层回环攻击。
en-us	In order to evaluate our defense, we implement it in the Floodlight controller, and perform experi-ments with Mininet. The experimental results show that our defense can precisely detect the loop attacks and effectively throttle them.

zh-cn	本文以任意预粗糙代数为赋值格的粗糙逻辑为研究对象，基于格赋值理论，通过在预粗糙代数赋值格和全体公式集上分别建立概率测度，利用积分方法提出了粗糙逻辑中公式的一种新的粗糙概率真度。
en-us	In this paper, based on lattice evaluation theory and by defining probality measure in pre-rough algebra e-valuation lattice and set of all formulae respectively, the new type of rough probabilistic truth degree of formulae in roughlogic is introduced by the integral method.

zh-cn	证明了粗糙概率真度的 MP 规则、HS 规则和交推理规则，同时引入了公式的精确度和粗糙度的概念。
en-us	The MP rule, HS rule and meet inference of rough probabilistic truth degree areproved, the concept of accuracy degree and roughness degree of fomulae are introduced also.

zh-cn	基于粗糙概率真度，提出公式间的 9 种粗糙相似度和伪距离，进而提出 3 种近似推理模式，研究了相关性质。
en-us	At the meantime, the concept ofrough similarity degree and pseudo-distances between formulae are introduced and three different kinds of approximate rea-soning models are estabished.

zh-cn	将计量逻辑学中的相关理论推广到以预粗糙代数为赋值格的粗糙逻辑上，为基于粗糙概率真度的程度化推理提供了一种可能的框架。
en-us	The theory of quantitative logic is expanded to rough logic, which makes it possible in graded reasoning in rough logic.

zh-cn	图像色彩空间的 RGB 通道具有密切的关系，图像质量的改变会改变这样的关系。
en-us	In the image color space, the RGB channels have strong correlations. The quality change of an image willlead to the change of channel correlations.

zh-cn	然而传统图像质量评价方法大多基于灰度图像统计特性，忽略了颜色通道间关系信息。
en-us	However, most traditional image quality assessment (IQA)methods, based on grayscale image statistics, ignore such correlation information among color channels.

zh-cn	为充分利用颜色信息，本文基于新近提出的互补色小波变换提出一种图像质量盲评价方法。
en-us	In this paper, to utilize the color infor-mation, we propose a blind IQA method based on the recent proposed complementary color wavelet transform (CCWT).

zh-cn	文章建立了图像互补色域自然场景统计、多尺度和方向性能量分布等模型。
en-us	We provide models for the complementary color nature scene statistics, multi-resolution and multi-directionality energy distribu-tions of an image.

zh-cn	分析表明:这些模型不仅涵盖了传统灰度方法所能描述的信息，而且还能借助于互补色来有效表示彩色图像各通道之间的信息联系，提供表征图像质量的一组高效特征。
en-us	The analysis shows that our models not only cover the information of traditional methods, but also provide the relation information among color channels. A group of high-efficiency image quality features is then given.

zh-cn	基于这些特征，我们提出的图像质量盲评价的方法能有效提取图像的失真统计特征，能给出与人眼主观评价图像质量结果保持高度一致、优于现有文献报道盲方法、且可与非盲(全参考)方法相比拟的评价结果。
en-us	Based on these features, our blind IQA method can effectively extract the distortion statistic features and provide assessment results. Our IQA results are agreeing with the human subjective, better than the state-of-the-art blind IQA results, and close to the full-reference ones.

zh-cn	在极化合成孔径雷达(PolSAR)图像杂波服从 K 分布下，已有的基于多视极化白化滤波器(MPWF)的恒虚警(CFAR)检测方法不适用于等效视数为非整数情形。
en-us	In the case that the clutter of the polarimetric synthetic aperture radar (PolSAR)imagery follows K distri-bution, the existing constant false alarm rate (CFAR)detection algorithms based on multi-look polarization whitening filter(MPWF)cannot be applied to the condition that the equivalent number of looks is a non-integer.

zh-cn	针对此问题，提出了一种具有解析虚警概率表达式的CFAR 检测方法。
en-us	To solve the problem, a CFAR detection algorithm with analytical false alarm probability expression is proposed.

zh-cn	在乘积模型下引入 Gamma 分布纹理变量后，对 MPWF 检测量的概率密度函数(PDF)积分得到其累积分布函数(CDF)，进而得到虚警概率关于检测门限的解析形式。
en-us	After introducing the Gamma distri-bution texture under the product model, the probability distribution function (PDF)of the MPWF metric is integrated to ob-tain its cumulative distribution function (CDF), and then the analytical form of the false alarm probability with respect to the detection threshold is obtained.

zh-cn	仿真实验结果表明新方法良好的虚警拟合效果，此外在目标杂波比(TCR)较大时，新方法检测概率更高，
en-us	The simulation results show that the new algorithm has a good false alarm fitting effect. Inaddition, when the target clutter ratio (TCR)is large, the new algorithm has a higher detection probability.

zh-cn	反之，检测概率低于已有方法。
en-us	Otherwise, thedetection probability is lower than the existing algorithm.

zh-cn	需说明的是，目前 K 分布下多视极化匹配滤波(MPMF)检测方法的虚警概率表达式存在错误，因此对 K 分布下的 MPMF 检测方法进行了修正并推导出了正确的虚警表达式。
en-us	It is worth pointing out that the current false alarm probability ex-pression of multi-look polarization matched filter (MPMF)under K distribution is wrong, so the current detection algorithmbased on MPMF detection metric is modified and the correct expression of the false alarm probability is derived.

zh-cn	以往针对机会网络中节点自私性影响评估的研究，建立了多种分析模型，然而并未考虑如何应用这些理论模型。
en-us	A variety of analytical models were established for the study of node selfish influence assessment in the op-portunistic network in the past. However, how to apply these theoretical models was not considered.

zh-cn	本文分别在网络无 TTL 限制和有 TTL 限制两种情况下，利用评估模型对自私节点的影响进行分析，并提出一种基于消息分类的自私模型，评估了自私节点对延迟和消息投递率的影响。
en-us	In this paper, we ana-lyzed the impact of the evaluation model on the selfish nodes of the networks with or without TTL limitation, and proposed a self-private model based on message classification to evaluate the influence of selfish nodes on delay and message delivery rate.

zh-cn	分析表明，机会网络受自私节点的影响不仅与自私节点的数目有关，而且与节点的移动速度，消息传输范围有关。
en-us	The analysis shows that the opportunistic network is affected not only by the number of selfish nodes, but by the speed of the nodes and the range of message transmission.

zh-cn	因此，可以通过调节这些参数提高网络的性能，减少自私节点的影响。
en-us	Therefore, we can improve the performance of the network by adjusting these parameters and reduce the impact on selfish nodes.

zh-cn	首先，通过理论推导分别得出了 2-hop 路由和传染病路由在延迟保证下的合作节点数目和消息传输范围以及传染病路由在消息投递率保证下消息的 TTL。
en-us	Firstly, we obtain the message transmission range of the number of cooperative nodes under the delay guarantee of 2-hop routing and epidemic routing and the TTL of the message of the epi-demic routing guaranteed by the message delivery rate through the theoretical derivation.

zh-cn	随后，通过 ONE 仿真平台对自私节点影响的评估，证明自私行为影响下网络性能的理论值与实验值近似，并且证明了通过理论分析获得的参数值也与实验值近似。
en-us	Subsequently, we proved that thetheoretical value of the network performance under the influence of selfish behavior is similar to the experimental value and the parameter values obtained by theoretical analysis are also similar to the experimental values through the evaluation of the influence of the ONE simulation platform on the selfish nodes.

zh-cn	针对相控阵单脉冲雷达体制测角的情况，本文提出了一种降维双和 /三差通道自适应同时抑制主、副瓣干扰的算法。
en-us	For adaptive monopulse technology in phased radar system, a novel algorithm for suppressing mainlobe and sidelobe interferences based on two sum and three difference channels is proposed in this paper.

zh-cn	该算法利用权值逼近的方法，在非均匀子阵上形成静态和、俯仰差、方位差、双差波束以及指向副瓣干扰方向的和波束，差波束、指向副瓣干扰的和波束作为静态和波束的辅助波束，双差波束作为差波束的辅助波束，
en-us	Weighting approximation method is adopted to produce weights to form sum, azimuth difference, elevation difference and double difference beams forirregular subarrays. Then azimuth difference, elevation difference beams and sum beam in the direction of sidelobe interfer-ence work as the auxiliary beams of static sum beam, while double difference beam works as the auxiliary beam of azimuthdifference and elevation difference beams.

zh-cn	根据维纳滤波原理通过对辅助波束的优化加权对消掉和波束中的主副瓣干扰信号及差波束中的主瓣干扰信号，设计出一种新的干扰抑制和测角跟踪算法。
en-us	Based on the principle of Wiener filter, the auxiliary beams are weighted in the optimized way to cancel the mainlobe and sidelobe interferences in the sum beam and mainlobe interference in azimuth difference and elevation difference beams.

zh-cn	所提算法结构简单、测角精度高、能同时抑制主副瓣干扰且鉴角斜率无需修正。
en-us	The proposed algorithm is of simple structure and high accuracy. It is able to sim-ultaneously suppress the mainlobe and sidelobe interferences without distortion of monopulse ratio.

zh-cn	仿真实验和性能分析证明了所提算法的有效性和正确性。
en-us	Finally, the simulation re-sults and analyses prove the effectiveness of the method.

zh-cn	完备高斯整数序列(PGIS)应用于扩频通信系统不仅能抑制干扰，而且可以获得高的传速率和频谱利用率，
en-us	Perfect Gaussian integer sequences (PGIS)applied to spread spectrum communication systems can not on-ly restrain disturbance, but also obtain high transmission efficiency and spectrum efficiency.

zh-cn	因此本文基于分圆类提出一类与现有 PGIS 参数不同的奇长度 PGIS 的构造方法，PGIS 的电平数(degree)为 2 和3，并且利用系数序列和交织方法将奇数长 PGIS 扩展为偶数长 PGIS。
en-us	Therefore, this paper presents aclass of PGIS with odd length and nonzero level (i. e. degree)for 2 and 3 based on cyclotomic classes. Simultaneously, u-sing coefficient sequence and interleaving method, the odd length PGIS is extended to even length PGIS.

zh-cn	在一定条件下，基于分圆类的构造方法，可以获得大量高能量效率 PGIS，最大能量效率接近 1，这对工程应用具有重要的实际意义，本文的构造结果可为宽带扩频通信系统提供更多的地址选择空间。
en-us	Under certain con-ditions, based on the construction method of cyclotomic classes, a large number of high energy efficiency PGIS can be ob-tained, and the maximum energy efficiency is close to 1, which is of great practical significance to the engineering applica-tion. The result of this paper provides more address selection space for broadband spread spectrum communication systems.

zh-cn	针对微波带通滤波器小型化、高性能的应用需求，提出使用单模和双模基片集成波导谐振器相结合设计广义切比雪夫带通滤波器。
en-us	Bandpass filters (BPFs)with generalized Chebyshev response using dual-and single-mode substrate inte-grated waveguide (SIW)resonators are proposed according to the miniaturization and high performances.

zh-cn	该结构可实现盒型拓扑结构，并且双模基片集成波导谐振器中的主模 TE101作为非谐振节点提供一条额外的交叉耦合路径，并能增加一个有限的传输零点;
en-us	The box-like to-pology with an additional cross-coupled path realized by the fundamental mode (TE101)of the dual-mode SIW cavity is pro-posed, and an additional transmission zero (TZ)is achieved.

zh-cn	该结构不需要传统负耦合结构就能实现两个有限传输零点，并且该传输零点可以位于通带上方或下方，具有设计灵活的特点。
en-us	The traditional negative coupling structure is not required in the proposed structure, and two TZs can be realized;moreover, the structure has flexible responses that two TZs can be locatedon the lower and/or upper of passband.

zh-cn	为了进一步提高滤波器的选择性，研究了在四阶滤波器上蚀刻互补开环谐振器设计拓展的盒型拓扑结构滤波器，并实现五阶滤波功能三个有限传输零点。
en-us	To improve the selectivity, a complementary split-ring resonator (CSRR)etched in-to the fourth-order SIW filter to design a filter with an extended box-like topology is studied, and the fifth-order filtering function with three finite TZs can be realized.

zh-cn	为了验证结构的合理性，设计了两款中心频率为 10GHz 的对称和非对称响应的四阶滤波器、一款中心频率为 5。8GHz 的五阶滤波器，并给出相应的含非谐振节点的盒型拓扑结构耦合矩阵进行验证，最后进行加工和测试。
en-us	To verify the feasibility, a symmetric and an asymmetric response fourth-order BPFs with center frequency of 10GHz and a fifth-order BPF with center frequency of 5. 8GHz are designed. The correspond-ing coupling matrixes of box-like topologies with nonresonating node (NRN)are also given to verify the proposed struc-ture. Finally, the designed SIW BPFs are processed and measured.

zh-cn	耦合矩阵响应、仿真和测试结果一致性较好，表明了该结构设计高性能滤波器的可行性。
en-us	The responses of coupling matrixes, simulated and meas-ured results are in good agreement, which demonstrates the feasibility of designed filters with high performances using the proposed structures.

zh-cn	针对 Trace 变换提取的图像特征缺乏对纹理边缘信息描述和计算代价高的问题，利用小波变换对图像轮廓的表征优势，提出了多分辨率 Trace 变换并应用于纹理图像分类。
en-us	There is a problem that the image features extracted by trace transform lack description of texture edge in-formation, and the computation cost is high, too. Based on the advantages of wavelet transform in image contour representa-tion, a new fusion feature extraction algorithm, multi-resolution trace transform, is proposed and applied to texture imageclassification.

zh-cn	首先，将小波变换引入到 Trace 变换中，对纹理图像进行非下采样小波变换，得到不同频率的低频特征子图及高频边缘子图;
en-us	Firstly, the wavelet transform was introduced in trace transform, low frequency feature sub images and high frequency edge sub images of texture images at different frequencies are obtained by using nonsubsampled wavelet trans-form.

zh-cn	其次，在各级子图上进行一组泛函的Trace 变换，获取纹理图像的融合特征，在获得图像边缘信息的同时避免了 Trace 变换不同泛函组合计算代价过高的问题;
en-us	Then, we carried out a set of functional trace transform on each level sub images to obtain the fusion features of texture image, which not only obtains the edge information of the image, but also avoids the problem of high cost.

zh-cn	最后，把融合特征送入支持向量机对图像进行分类。
en-us	Finally, the fusionfeatures were fed into support vector machines to classify the images.

zh-cn	实验结果表明，对图像采用多分辨率 Trace 变换提取的融合特征具有更好的纹理描述能力，相对于传统 Trace 变换及 MCM 等对比方法具有更高的鉴别性能，且在时间效率上相对于传统 Trace 变换有大幅提升。
en-us	The experiment results show that the fusion features of multi-resolution trace transformation have better texture description ability and achieves higher recognition rate than the origi-nal trace transform and MCM contrast method, the time efficiency is greatly improved compared to the traditional trace trans-form.

zh-cn	在衡量传输网络对信号传输时间延迟和信号失真影响时，群时延是非常重要的一项指标。
en-us	Group delay is a very important indicator when measuring the impact of a transmission network on signaltransmission time delay and signal distortion.

zh-cn	基于差分法计算群时延是目前测量仪器普遍使用的方法，该方法存在着分辨率和精度之间的矛盾，在提高频率分辨率的同时势必引起测量精度的下降。
en-us	The calculation of group delay based on the difference method is a commonly used in current measuring instruments, and there is a contradiction between frequency resolution and precision. It will inevita-bly lead to the decrease of measurement accuracy while improving the frequency resolution.

zh-cn	本文在分析差分法误差来源的基础上，基于 Tikhonov 正则化给出了一种新的群时延计算方法。
en-us	Based on the analysis of the er-ror source of the difference method, this paper presents a novel method of group delay measurement based on the Tikhonov regularization.

zh-cn	比较分析得出该方法能够在存在测量误差的情况下，精确得到具有较高频率分辨率的群时延。
en-us	The comparative analysis shows that the method can obtain the group delay value more precisely with higher frequency resolution when the measurement error is included.

zh-cn	在实际给出的测量验证中，通过与矢量网络分析仪得到的群时延数据对比，验证了该方法的有效性。
en-us	In the actual data calculation and verification, the validity of the method verified by comparison to the group delay data obtained by the vector network analyzer.

zh-cn	将物理不可克隆函数(Physical Unclonable Function，PUF)与椭圆曲线上的无证书公钥密码体制相结合，提出一种面向物联网的安全通信方案，在节点设备不存储任何秘密参数的情况下，实现设备间消息的安全传递。
en-us	By combining the Physical Unclonable Function (PUF)with the certificateless public key cryptosystem onthe elliptic curve, a secure communication scheme for IoT is proposed. The secure transmission of messages is realized on thecondition of node devices not storing any secret parameters.

zh-cn	方案无需使用高计算复杂度的双线性对运算，并提供了消息认证机制。
en-us	The proposed scheme eliminates the need for bilinear pairing whose computing complexity is high and provides a message authentication mechanism.

zh-cn	安全性分析表明，该方案不仅能够抵抗窃听、篡改、重放等传统攻击，而且可以有效防范节点设备可能遭到的复制攻击。
en-us	Security analysis demonstrates that the scheme can not only resist the traditional attacks such as eavesdropping, tampering and replay, but also protect the nodedevice from replication attacks.

zh-cn	对比结果显示，相较于同类方案，该方案明显降低了设备的资源开销。
en-us	Compared with related schemes, the proposed scheme obviously decreases the resource over-head of devices.

zh-cn	为解决复杂网络环境网络入侵事件特征复杂多变、新型入侵检测度低、检测时间长、难以实现实时检测的问题，本文提出一种基于核极限学习机(Kernel Extreme Learning Machine，KELM)选择性集成的网络入侵检测方法(SEoKELM-NID)。
en-us	To solve the problem of the low detection accuracy of new intrusions with long detection time due to the complex and changeable nature of network intrusions, this paper proposes a network intrusion detection method based on the selective learning of Kernel Extreme Learning Machines (KELMs).

zh-cn	该方法采用 Bagging 策略独立快速训练出多个 KELM 子学习器;
en-us	First, based on the high efficiency learning characteris-tics of the single KELM learner, multiple KELMs are trained independently by the Bagging strategy.

zh-cn	然后基于边缘距离最小化(MarginDistance Minimization，MDM)准则对 KELM 子学习器的集成增益进行度量，通过选择增益度高的部分 KELM 子学习器进行选择性集成，获得泛化能力强、效率高的选择性集成学习器;
en-us	Then, based on the mar-gin distance minimization (MDM)guidelines, KELM learners are integrated by selecting a part of them with high gains based on the MDM-based gain measures.

zh-cn	同时，引入一种基于批量样本增量学习的 KELM 子分类器在线更新策略，实现入侵检测模型的在线更新，使 SEoKELM-NID 能有效适应复杂网络环境的变化。在 KDD99 数据集和一个以太网和无线网络混合的复杂网络仿真实验平台上进行了仿真实验验证，结果表明，SEoKELM-NID 相比基于单个学习器以及传统集成学习的网络入侵检测方法具有更好的识别准确性以及更快的识别速度，特别对于未知的网络入侵连接事件响应速度快、漏报率低。
en-us	Extensive validation and comparative experiments on the the KDD99 data set andon a hybrid network simulation platform mixed with wireless networks and Ethernet networks demonstrate that the proposed method achieves better recognition accuracies with faster recognition speed than the network intrusion detection methods based on the single learner and the traditional ensemble learning, which can effectively detect the known and unknown net-work intrusion connection in real time.

zh-cn	随着大数据时代的到来，人们对超高精度科学计算的需求日益迫切，其中一个难点是大数阶乘问题。
en-us	With the advent of the era of big data, there is an increasingly urgent need for ultra-high precision scientificcalculation. One of the difficulties is the large number factorial problem.

zh-cn	斯特林公式作为计算大数阶乘的传统近似方法，远不能在精度上满足要求，其它的阶乘算法可以实现较高的精度，但以牺牲大量存储空间为代价。
en-us	Stirling formula as the traditional approximate meth-od of calculating factorial of large numbers cannot meet the accuracy requirements. Other factorial algorithm can achieve high accuracy, but at the cost of a large amount of storage space.

zh-cn	本文提出一种具有零误差的大数阶乘算法，可以根据问题规模优化存储空间，利用并行计算的思想和 FPGA 的优势来提高计算速度，
en-us	This paper puts forward a factorial algorithm of large num-bers with zero error that can optimize storage space according to the problem size. Besides, the computing speed can be im-proved by making full use of parallel computing and the advantages of field programmable gate array (FPGA).

zh-cn	测试结果表明，所提出的算法具有较好的时空效率，可以应用在如大数阶乘计算器等诸多领域。
en-us	The test re-sults show that the proposed algorithm has better efficiency of time and space, which can be used in many fields such aslarge factorial calculator.

zh-cn	个人意愿对于形成网络社团和传播信息有着重要的影响力，因此本文提出一种基于个人意愿的社团结构与信息检测方案。
en-us	Personal willingness is one of the most important factors influencing the construction of social communityand the information dissemination in social network. In this paper, we propose a social community structure and information detection scheme based on personal willingness in social network.

zh-cn	该方案中的社团检测算法初次检测以融入节点属性的模块度，再次检测以兴趣度并能发现重叠社团，最后精细检测以个人意愿，本文社团检测算法(ε_CSDA)较之前的算法更有效的是可以发现重叠社团;
en-us	In our proposed scheme, the social community detectio nalgorithm uses the node attributes to detect social community structure and further find overlapping communities;

zh-cn	同时，该方案建立的信息传播模型在指数模型基础上构建边特征向量(边属性)、节点特征向量(节点属性)和意愿向量(用户意愿、社团意愿和节点意愿)，并以传播概率和传播延迟构建模型基本关系，从而使得该模型实现了基于个人意愿的信息传播。
en-us	the infor-mation dissemination method is based on the exponential model, which constructs the feature vector by the edge feature andthe node feature, the willingness vector by the personal willingness and the community willingness, and the basic relationshipby the dissemination probability and dissemination delay.

zh-cn	实验结果表明，加入个人意愿的社团检测和信息传播方案，能够保证社团检测的有效性和实用性，能够实现用户间信息传播的主动性和可靠性。
en-us	Experimental results show that our proposed scheme can ensure the effectiveness of social community detection and the initiative and reliability of information dissemination.

zh-cn	钢包是连接炼钢与浇注环节的容器，即将承接炼钢炉的注入钢水的钢包容器内壁温度直接决定了炼钢炉的出钢温度，与企业节能降耗密切相关。
en-us	Ladle is a container which used to connect the steel-making and pouring sections. The tapping temperature of the steel-making furnace is directly determined by the temperature of the inner wall of the ladle, which is closely related to the energy saving and consumption Reduction of the enterprise.

zh-cn	钢包在装盛钢水前的热修工位由行车吊装放置，其放置后的绝对位置难以固定，从而导致温场分布无法确定。
en-us	Before the ladle is filled with molten steel, the ladle is placedin the hot repair station by driving. The absolute position of the ladle after placement is difficult to fix, resulting in a tempera-ture field distribution that cannot be determined.

zh-cn	针对此现状，本文提出了一种激光定位与扫描的钢包温度场测量方法，先利用定位激光确定被测钢包所处的空间坐标，
en-us	So, this article presents a method for measuring the temperature field of la-dle by laser positioning and scanning. Firstly, the positioning laser is used to determine the spatial coordinates of the ladle.

zh-cn	再由主测量平台执行机构带动扫描激光与红外测温传感器扫描钢包内壁面获取钢包内壁各被测点的测距与温度值，
en-us	Then, the actuator of the main measurement platform drives the scanning laser and the infrared temperature measurement sensor to scan the inner wall surface of the ladle to obtain the distance measurement and temperature of each measured pointon the inner wall of the ladle.

zh-cn	根据空间坐标关系，将被测点测距值映射为钢包坐标数值，从而得到钢包内壁各点坐标与温度值，即温场分布。
en-us	According to the spatial coordinate relationship, the distance measurement values of the meas-ured are mapped to the ladle coordinate values, therefore we obtained the coordinates and temperature values of the innerwall of the ladle.

zh-cn	现场实验表明:该方法可实现钢包温场的获取，
en-us	So the temperature field distribution is obtained.

zh-cn	坐标定位不确定度≤3.0mm;温度测量最大误差 4.7℃ ，最小误差 0.5℃ ，平均误差小于 3.3℃ ，达到较高定位与测量精度，为基于温度信息的冶金工艺控制提供重要参数信息。
en-us	The field experiment shows that the method can obtain thetemperature field of the ladle, the coordinate positioning uncertainty is no more than 3. 0mm;the maximum error of tempera-ture measurement is 4. 7℃ , the minimum error is 0. 5℃ , and the average error is less than 3. 3℃ . The method achieves to high positioning and measurement accuracy, it will provide important information for steel-making control based on tempera-ture information.

zh-cn	针对极/超低频信道噪声模型参数估计复杂度高而难以实施最优非线性处理的问题，根据噪声时域波形分析，本文提出了一种基于局部方差中值滤波的抑噪方法。
en-us	Aiming at the problem that parameter estimation for extremely /super low frequency channel noise model isso complicated that it is difficult to perform optimal nonlinear processing and according to the time-domain analysis of thenoise waveforms, a noise suppression method was proposed based on median filtering (MF)across local variance.

zh-cn	该方法利用局部方差提取结构信息以强化噪声脉冲性，提高中值滤波抑噪性能;
en-us	It utilized the local variance to extract the structural information so that the noise impulsiveness would be enhanced and the perform-ance of MF would be improved;

zh-cn	采用基于恒虚警率的奇异值检测方法实现含噪样点的盲判决，利用自适应中值滤波算法实现噪声的盲抑制。
en-us	utilized the constant false alarm rate outlier detection method to achieve the blind determina-tion of the noisy samples and the adaptive MF algorithm to achieve the blind suppressions.

zh-cn	仿真和实测结果验证了该方法的有效性。
en-us	Simulations and real tests verifiedits effectiveness.

zh-cn	相比最优非线性处理，该方法无需噪声参数估计，因而更具实用性。
en-us	Due to no parameter estimation, this method is more practical than the optimal nonlinearities.

zh-cn	为满足多品种小批次、大规模定制模式下有效划分产品族的需求，全面分析 BOM(Bill of Materials，物料清单)所包含的特征，概括已有结构近似方法并提出内容近似度量模型，在此基础上提出组合两者的集成模型。
en-us	In order to meet the requirements of grouping product families for advanced manufacturing modes such asmass customization, the features in BOM (Bill of Materials)are comprehensively analyzed, and a concept of BOM struc-ture-based similarity metric model, a content-based similarity metric model, and an ensemble model combined with both are proposed.

zh-cn	结构近似模型方面，以包含 BOM 层次结构和物料数量的相邻矩阵表示 BOM，利用正交普氏分析法计算 BOM 与 BOM 之间的近似程度。
en-us	In the structure-based model, BOMs are represented by adjacent matrixes, including the relationships between ma-terials and the quantity of materials, and the Orthogonal Procrustes Analysis is implemented to measure the similarity amongBOMs.

zh-cn	内容近似模型方面，从 BOM 文本中提取有效特征，引入逆向词频法将文本特征转换成机器可识别向量形式，采用余弦近似公式完成向量近似的计算。
en-us	While in content-based model, effective text features are extracted from BOMs, being transformed to vectors byTFIDF(Term Frequency-Inverse Document Frequency), and finally being inputted into cosine approximation formula forsimilarity value.

zh-cn	集成模型提出基于基尼系数的权重分配方法集成结构和内容两种模型。
en-us	To obtain more accuracy and performance, a weight distribution method based on the Gini coefficient is pro-posed for the ensemble model.

zh-cn	最后，提供测试框架并通过实验评价集成模型较已有方法在模型性能及训练耗时上的优劣。
en-us	Finally, a test framework is provided and all models are in evaluated experimentally in accura-cy and performance.

zh-cn	针对 RGB 图像具有丰富的色彩细节特征，红外图像对目标轮廓、尺寸、边界等外形特征有较高敏感度的特点，提出了一种非对称并行语义分割模型 APFCN(Asymmetric Parallelism Fully Convolutional Networks)。
en-us	Aiming at that RGB image is rich in color details of scene and infrared image is sensitive to outline、sizeand boundary of target, a novel semantic segmentation model APFCN (Asymmetric Parallelism Fully Convolutional Net-works)is proposed.

zh-cn	APFCN 上路设计了一个卷积核尺寸非统一的五层空洞卷积网络来提取红外图像目标高层轮廓特征;
en-us	In the upper part of APFCN, a five layer dilation convolution network, where the five kernel sizes arenot uniform, is designed used to extract the high-level targets contour features of infrared image.

zh-cn	下路沿用卷积加池化网络提取 RGB 图像三个尺度上的细节特征;
en-us	In the lower part of APF-CN, a classical CNN network is used to extract three scale features of RGB images.

zh-cn	后端将红外图像高层特征与 RGB 图像三个尺度的细节特征进行融合，并将 4倍上采样后的融合特征作为语义分割输出。
en-us	At the back of APFCN, the high levelfeatures of the infrared image are fused with the three scale features of the RGB image, and the fused features after 4 timesupper sampling is used as the semantic segmentation output of APFCN.

zh-cn	结果表明，APFCN 在像素精度和交并比等方面均优于 FCN(输入为 RGB图像或红外图像)，适用于背景一致下地面目标的语义分割任务。
en-us	The results show that APFCN is better than FCN(input RGB image or infrared image)in PA (Pixel Accuracy)and MIoU (Mean Intersection over Union). APFCN is suit-able for the semantic segmentation task of ground targets with consistent background colors.

zh-cn	为了驱动后级开关功放，全数字发信机需要利用数字射频调制器将输入信号转换为相应的脉冲序列信号。
en-us	In order to drive the switched mode power amplifier (SMPA)for full-digital transmitter, the input RadioFrequency (RF)signal of full-digital transmitter first needs to be transformed into pulse sequences by using the digital RFmodulator.

zh-cn	针对现有脉宽调制(PWM)和 Delta-Sigma 调制(DSM)策略在调制性能及系统实现方面存在的不足，本文利用面积等效原理提出一种新的数字射频调制策略。
en-us	Considering the disadvantages in modulation performance and system realization of existing digital RF modulation strategies, especially the Pulse Width Modulation (PWM )and Delta-Sigma Modulation (DSM ), a digital RF modulation strategy was proposed and analyzed in this paper by using the area equivalent theory.

zh-cn	理论分析和仿真结果表明，本文策略相比 PWM 和 DSM，不仅简化了硬件实现难度，而且能够获得更优的带内 SNR 和编码效率性能。
en-us	The theoretical analysis and simulation results show that, compared to the PWM and DSM, the proposed modulation strategy not only reduces the hardware imple-mentation difficulty, but also achieves better performance of the SNR and coding efficiency.

zh-cn	传感器配准是多传感器数据融合系统获得性能优势的关键前提。
en-us	Sensor registration is the key precondition of the performance advantages of the multisensor data fusion system.

zh-cn	受随机噪声、系统误差、虚警、漏报等因素的干扰，传感器配准常常工作在非理想关联环境中，依赖于理想关联假设的传统配准方法性能衰退严重。
en-us	In the presence of random errors, sensor biases, false alarms and missed detections, sensor registration usually worksin a nonideal association envrionment. Traditional registration approches relying on the ideal association condition degrade seriously.

zh-cn	另一方面，传统传感器配准方法对目标分布场景敏感，当目标密集分布时，配准问题呈现病态性，估计结果数值不稳定。
en-us	On the other hand, traditional registration methods are sensitive to the target distribution. When targets are densely distributed, the registration problem is ill-conditioned and the estimation encounters the numerical instability phenomena.

zh-cn	本文重点研究非理想关联及场景病态性共存时的传感器稳健配准问题，提出了系统误差的岭最小截平方(Ridge LeastTrimmed Squares，RLTS)估计方法。
en-us	Fo-cusing on sensor registration in the context of nonideal association and ill-condition, this paper presents the robust registration approach based on ridge least trimmed squares (RLTS).

zh-cn	该方法结合了岭回归(Ridge Regression，RR)与最小截平方(Least Trimmed Squares，LTS)估计的优点，能够有效应对错误关联及病态性的不良影响。
en-us	The proposed approach combines the advantages of the ridge re-gression (RR)and the least trimmed squares (LTS)estimation. The RLTS can deal with nonideal association and ill-condi-tion simultaneously.

zh-cn	仿真实验证实了所提方法的稳健性能。
en-us	Simulation results verify the robust performance of the RLTS method.

zh-cn	本文提出了一种基于加权 Schatten p 范数最小化(Weighted Schatten p-Norm Minimization，WSNM)的磁共振图像重构算法，该方法利用磁共振图像的非局部自相似性，并结合 Schatten p 范数和不同秩元素重要性的加权因子，实现磁共振图像重构过程的低秩约束。
en-us	In this paper, the weighted Schatten p-norm minimization (WSNM )method is proposed to implement magnetic resonance imaging (MRI)reconstruction. The nonlocal self-similarity of magnetic resonance images, Schatten p-norm and the weighting factors of the importance of different rank elements are integrated together as the low rank constraint to regularize the MRI reconstruction.

zh-cn	此外，采用交替方向乘子算法(Alternating Direction Method of Multipliers，ADMM)来求解基于 WSNM 磁共振图像重构的非凸最小化问题。
en-us	In addition, the Alternating Direction Method of Multipliers (ADMM )algorithm isused to solve the non-convex minimization problem of MRI reconstruction based WSNM.

zh-cn	实验结果表明，相比于最近的磁共振重构算法，基于WSNM 的磁共振图像重构方法具有更好的重建效果，可获得更高的峰值信噪比(Peak Signal to Noise Ratio，PSNR)和更好的结构相似性(Structural Similarity，SSIM)。
en-us	Compared with other state-of-the-art methods in numerical experiments, the proposed method achieves a higher reconstruction quality with higher peak signal to noise ratio (PSNR)and better structural similarity (SSIM)index.

zh-cn	近年来，基于深度学习的场景文字检测技术取得重要进展。
en-us	In recent years, deep learning based scene text detection have achieved significant progress.