zh-cn	为了充分利用含噪语音特征来提高语音增强网络的性能，基于含噪语音在时间和频率两个维度上的相关性，本文结合卷积神经网络的局部特征提取能力和门控循环单元的长期依赖建模能力，设计了一种适用于语音增强的卷积门控循环网络。
en-us	In order to improve the performance of speech enhancement networks by making full use of noisy speech features, based on the correlation of noisy speech in time and frequency, by combining the local feature extraction ability of convolutional neural networks and the long-term dependence modeling ability of gated recurrent unit, a convolutional gated recurrent network suitable for speech enhancement is designed in this paper.

zh-cn	该网络采用卷积网络结构代替全连接网络结构来改进门控循环单元中的特征计算过程，从而能够更好地保留含噪语音特征中的时频结构信息。
en-us	This network uses a convolutional network structure instead of a fully connected network structure to improve the feature calculation process in the gated recurrent unit, thereby can better retain the time-frequency structure in the noisy speech features.

zh-cn	实验结果表明，与其它语音增强网络相比，本文网络在语音成分的保留和噪声成分的抑制上具有明显优势，增强后语音具有更好的语音质量和可懂度。
en-us	The experimental results show that com-pared with other speech enhancement networks, the proposed network has obvious advantages in speech component retentionand noise component suppression, and the enhanced speech has better speech quality and intelligibility.

zh-cn	图像超分辨率重建(Super-resolution Reconstruction，SR)是由一张或多张低分辨率图像得到高分辨率图像的过程。
en-us	Image super-resolution reconstruction (SR)aims to obtain high-resolution images from one or more low-resolution images.

zh-cn	近年来，SR 技术不断发展，在许多领域被广泛应用。
en-us	Recently, SR has been developing and widely applied in different fields.

zh-cn	本文在回顾 SR 技术发展历史的基础上，全面综述了 SR技术在各个时期的代表性方法，重点介绍了基于深度学习的图像超分辨率工作。
en-us	This survey retrospects the history of SR technique and provides a comprehensive overview of representative SR methods, with an emphasis on recent deeplearning-based approaches.

zh-cn	我们从模型类型、网络结构、信息传递方式等方面对各种算法进行了详细评述，并对比了其优缺点。
en-us	We elaborate the details of various deep learning-based SR methods, including their strengths andweakness, in terms of the deep learning model, architecture, and message pass.

zh-cn	最后探讨了图像超分辨率技术未来的发展方向。
en-us	Finally, we discuss the possible research di-rections on SR technique.

zh-cn	注意力模型是当前语音识别中的主流模型，然而其存在一个缺点，即当前时刻的注意力模型可能产生异常得分。
en-us	Attention-based model is a popular model in speech recognition, however it has a disadvantage that the at-tention-based model may produce abnormal scores.

zh-cn	为此，本文首先提出前向注意力模型，其采用上一时刻正常注意力得分平滑当前时刻异常得分。
en-us	To solve this problem, this paper first proposes a forward attention mod-el, which adopts normal attention score at the previous moment to smooth the abnormal score at the current moment.

zh-cn	接着通过对上一时刻的注意力得分添加约束因子来对前向注意力模型进行优化，达到自适应平滑的目的。
en-us	Then, the model is optimized to add constraint factors to the attention score at the previous moment to achieve the purpose of adap-tive smoothing of the above abnormal scores.

zh-cn	最后，在优化模型基础上提出多尺度前向注意力模型，其通过引入多尺度模型来对不同等级的语音基元进行建模，进而将所得到的不同等级目标向量进行融合，以达到解决注意力得分异常值的目的。
en-us	Then, a multi-scale forward attention model is proposed on the above model. This model introduces a multi-scale method to model the speech primitives of different levels, and then fuses the target vec-tors of different levels to solve the outliers of attention score.

zh-cn	采用 SwitchBoard 作为训练集，Hub5'00 作为测试集进行实验。
en-us	In the experiment, SwitchBoard is adopted as the training setand Hub5' 00 as the test set.

zh-cn	相比于基线系统，多尺度前向注意力模型的词错误率(Word Error Rate，WER)相对降低 14.28% 。
en-us	Compared with the baseline system, the Word Error Rate (WER)of the proposed system de-creased by 14. 28% relatively.

zh-cn	飞行员疲劳状态识别面临两个重要问题，如何提取表征疲劳的特征以及如何对疲劳特征建模学习。
en-us	Pilots' fatigue state recognition faces two important issues: how to extract the characteristics that character-ize fatigue and how to model fatigue characteristics.

zh-cn	首先提取脑电信号节律波，计算基于仿射伪平滑 Wigner-Ville 分布的瞬时频域信息，构建疲劳状态指标。
en-us	Firstly, the EEG (ElectroEncephaloGram) signal is extracted, and the in-stantaneous frequency domain information based on the affine pseudo-smooth Wigner-Ville distribution is calculated to con-struct the fatigue state index.

zh-cn	其次，基于脑电信号各通道的周期性变化提出 Gamma 深度信念网络的疲劳状态分类算法。
en-us	Secondly, based on the periodic changes of each channel of EEG signals, the fatigue state classi-fication algorithm of Gamma deep belief network is proposed.

zh-cn	与采用卷积与池化运算的学习网络不同，Gamma 深度信念网络没有将图像或信号按尺度分割，但在底部的隐藏层已经可以有效地学习特定区域的特征，且当层数增加时，可有效提取特征的区域增多，学习到的特征更为一般化。
en-us	Unlike other learning network using convolution and pooling, the proposed network does not split the image or signal, but the hidden layer at the bottom can effectively learn the features of a specific region, and when the number of layers increases, the number of features increases and the features are more gen-eral.

zh-cn	然后改进用于训练深度信念网络的 Gibbs 采样算法，提出向上向下 Gibbs 采样以推断网络参数。
en-us	The Gibbs sampling algorithm for training the deep belief network is improved. The up-down Gibbs sampling is pro-posed to infer the network parameters.

zh-cn	最后，实验结果显示，本文的 Gamma 深度信念网络在识别准确率、稳定性、迭代用时等方面均达到了令人满意的效果。
en-us	Finally, the experimental results show that the Gamma deep belief network in this pa-per has achieved satisfactory results in terms of recognition accuracy, stability and iteration time.

zh-cn	实际生产生活中大量多选一的问题都可以转为多选择背包问题(MCKP)，但 MCKP 是一个经典的 NP难问题。
en-us	In the actual production life conditions, a large number of multiple choices can be converted into a multi-ple-choice knapsack problem (MCKP) , but MCKP is a classic NP-hard problem.

zh-cn	因此对于超大规模 MCKP 而言，往往只能利用粒子群算法、狼群算法、鱼群算法等群智能算法对问题进行求解。
en-us	Therefore, for very large scale MCKP, it isoften only possible to use the particle swarm algorithm, wolf pack algorithm, fish swarm algorithm and so on to solve the problem.

zh-cn	对于群智能算法而言，高效快捷的贪心算法对于初始解的生成起着至关重要的作用。
en-us	For swarm intelligence algorithms, efficient and fast greedy algorithms play a key role in the generation of initialsolutions.

zh-cn	基于凸帕累托算法(CPA)，提出一种能够快速求解线性支配子集的改进帕累托算法(IPA)。
en-us	Based on the convex Pareto algorithm (CPA) , an improved Pareto algorithm (IPA) that can quickly get the linearprogramming dominated set is proposed.

zh-cn	IPA 首先选择各类项集的质量最小项，然后计算所有物品的价值密度，最后按照价值密度从高到低选择对物品进行贪心选择。
en-us	IPA firstly selects the minimum weight item of each set, then computes the value density of all items, and finally chooses the greedy choice of the item according to the value density from high to low.

zh-cn	若贪心选择项的价值大于其所在项集原有选择项，则进行迭代。
en-us	When the value of the greedy option is greater than the original selection of the item set, then IPA is iterated.

zh-cn	仿真实验结果表明:IPA 相比于 CPA，求解速度平均提升 98.86% 。
en-us	The simulation results show that compared with CPA, the speed of IPA is increased by 98. 86% .

zh-cn	且 PSO-IPA 求解精度平均提升 28。92% 。
en-us	The PSO-IPA solution accuracy is increased by an average of 28. 92% .

zh-cn	互耦效应是阵列天线一个固有的重要属性，而端射阵天线由于其特殊的主波束指向以及抑制栅瓣所要求的小阵元间距，其阵列间存在的互耦效应比侧射阵更加严重。
en-us	Mutual coupling effect is an important and intrinsic property of array antenna. Because of its special main beam pointing and the small element spacing required to suppress the grating lobes, the mutual coupling effect of end-fire array an-tenna arrays is much more serious than that of side-fire array.

zh-cn	本文首先分析了互耦效应对端射阵天线方向图的影响，构建了存在互耦效应下的天线方向图模型;
en-us	In this paper, the influence of mutual coupling effect on thepattern of end-fire array is analyzed, and the pattern model of end-fire array with mutual coupling effect is constructed.

zh-cn	然后给出了考虑互耦效应的杂波模型并分析了互耦对端射阵机载雷达杂波谱以及 STAP(Space-Time Adaptive Processing)性能的影响;
en-us	Then the clutter model considering mutual coupling effect is given and the influence of mutual coupling on the clutter spectrumand STAP (Space-Time Adaptive Processing) performance of end-fire array airborne radar is analyzed.

zh-cn	最后提出了一种基于杂波协方差矩阵重构的互耦效应补偿方法。
en-us	Finally, a mutualcoupling effect compensation method based on clutter covariance matrix reconstruction is proposed.

zh-cn	计算机仿真验证了所提方法的有效性。
en-us	The computer simulationverifies the effectiveness of the proposed method.

zh-cn	针对船舶动力机械装置未知时变窄带噪声的有源控制问题，基于锁相环信号跟踪生成原理，通过在锁相环中引入次级通道执行机构，推导了新的未知时变窄带噪声有源控制方法。
en-us	To tackle the problem of active cancellation of unknown and time-varying narrowband signal caused by theship power engineering equipment, an active noise control algorithm for suppressing unknown and time-varying narrowband noise is proposed based on the concept of signal tracking and generation in the phase locked loop (PLL).

zh-cn	首先，通过 EPLL(Enhanced Phase LockedLoop)环节中引入次级通道，形成基于 EPLL 的未知时变窄带噪声有源控制方法;
en-us	Firstly, with theintroduction of secondary path in the enhanced phase locked loop (EPLL), an active algorithm is developed;

zh-cn	其次，通过近似分析得到其等效线性差分方程，研究了窄带噪声信号幅值和次级通道特性对算法收敛性能的影响;
en-us	secondly, with the approximation analysis, the differential equation of the EPLL-based algorithm is carried out to derive its performance re-lationship with the input signal amplitude and the secondary path.

zh-cn	再次，通过引入幅值归一化和次级通道归一化改进措施，提出了基于 Pseudolinear(PL)-EPLL 的窄带噪声控制方法。
en-us	With normalizing of amplitude and secondary path, an im-proved pseudolinear (PL)-EPLL based active noise algorithm is derived.

zh-cn	相比原方法，改进算法幅值、频率/相位收敛方程的收敛特性与窄带噪声信号幅值和次级通道特性无关。
en-us	Compared to the EPLL-based algorithm, the con-vergence performance of the estimated amplitude, frequency /phase equation is independent with the amplitude of unknown narrowband signal and secondary path.

zh-cn	对不同强度分量的多频窄带噪声控制，具有较为一致的收敛速度。
en-us	Besides, the convergence performance is consistent when the noise source is com-posed of multi-frequency sinusoidal with different signal noise ratio.

zh-cn	最后，通过仿真分析，验证所提出方法的有效性。
en-us	Finally, simulations conducted validate the effectiveness of the proposed PL-EPLL based active noise control.

zh-cn	单相全桥整流器工作在硬开关状态时，随着开关频率和输出功率的增大，开关损耗会显著增大，影响整流器效率的提高。
en-us	When single-phase full-bridge rectifier works in the hard-switching state, with the increasing of switchingfrequency and output power, the switching loss will increase significantly, which has negative influence on the efficiency of the rectifier.

zh-cn	为解决这一问题，提出了一种单相全桥软开关整流器。
en-us	In order to solve this problem, a single-phase full-bridge soft-switching rectifier is proposed.

zh-cn	在整流器处于死区状态时，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	When the rectifieris in the dead state, the voltage across the resonant capacitor in parallel with the main switch can decrease to zero via the res-onance 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 canachieve zero-current switching.

zh-cn	分析了整流器的换流过程，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 commutation process of the rectifier is analyzed. The experimental results show that the main switch and auxiliary switch can achieve soft-switching.

zh-cn	因此，该单相全桥软开关整流器在高开关频率下能实现高效率运行。
en-us	Therefore, the single-phase full-bridge soft-switching rectifiercan achieve high-efficiency operation with high switching frequency.

zh-cn	针对异构网(Heterogeneous Network，HetNet)无线回程，现有研究主要集中于提升网络吞吐量，而对回程覆盖性能研究较少。
en-us	For wireless backhaul of heterogeneous networks (HetNet), the existing researches mainly focus on improving the network throughput.

zh-cn	由此，本文构造了一种在小小区基站(Small cell Base Station，SBS)上结合全双工(Full-Duplex，FD)和非正交多址接入(Non-Orthogonal Multiple Access，NOMA)技术的大规模多输入多输出(Multiple Input MultipleOutput，MIMO)辅助多层 HetNet 模型。
en-us	However, few research is done on the coverage performance in the backhaul link. Therefore, this paper constructs a massive multiple input multiple output (MIMO)enabled multi-tier heterogeneous network model combing full-duplex(FD)and non-orthogonal multiple access (NOMA)technologies on small cell base stations (SBSs).

zh-cn	利用信干比(Signal-to-Interference Ratio，SIR)来模拟有源 SBS 的分布，得出不同类型接收端的干扰;
en-us	The signal-to-interferenceratio (SIR)is utilized to simulate the distribution of active SBS, and the interference is obtained at different types of receivers.

zh-cn	然后推导了移动用户(Mobile User，MU)下行链路覆盖概率闭合表达式。
en-us	Then, the mobile user (MU)downlink coverage probability closed-form expressions are deduced.

zh-cn	仿真和数值结果表明，SBS下行链路覆盖概率会随着小小区下行链路功率共享系数的增加而减小;
en-us	Simulation and numerical results show that the SBS downlink coverage probability decreases as the downlink power sharing coefficient of the small cell increases.

zh-cn	此外，通过对比 NOMA 和正交多址接入(Or-thogonal Multiple Access，OMA)以及 FD 和半双工(Half-Duplex，HD)对下行链路覆盖性能的影响，本文提出的方案能显著提升网络性能。
en-us	In addition, by comparing the effects of NOMA and orthogonal multiple access (OMA), FD and half-duplex (HD)on downlink coverage performance, network performance of the proposed scheme is significantly improved.

zh-cn	研究多入多出(Multiple Input Multiple Output，MIMO)同时同频全双工双向通信系统中，合法节点在接收信息的同时向对方发送保密信息，并发送零空间人工噪声干扰窃听节点的物理层安全方案的优化问题。
en-us	The optimization of physical layer security scheme in the multiple input multiple output(MIMO)fulldu-plex two-way communication system is studied, where legitimate nodes send confidential information and null space artificialnoise while receiving information.

zh-cn	针对窃听信道状态信息仅统计分布已知，且存在残余自干扰的情况，首先推导出系统平均保密和速率的闭合表达式，进一步给出其下界。
en-us	For the case where the eavesdropping' s channel state information is only statistically known and there is residual self-interference, the closed-form expression of the average achievable secrecy sum rate is first derived, then its lower bound is further given.

zh-cn	在此基础上，以最大化系统该下界为目标，对两节点的信息信号与人工噪声的功率分配因子、信息信号的功率分配矩阵进行联合优化。
en-us	Aiming at maximizing the lower bound, the power allocation factors of the ar-tificial noise and the information signal, along with the power allocation matrices of the information signal are jointly opti-mized.

zh-cn	采用迭代的方法进行优化，每轮迭代中，先固定前者，优化后者，再固定后者，优化前者。
en-us	An iterative method is used. In each iteration, we first fix the former and optimize the latter, then fix the latter and op-timize the former.

zh-cn	使用DC(Difference of Concave/Convex，DC)规划优化信息信号功率分配矩阵，使用遗传算法优化信息信号与人工噪声的功率分配因子。
en-us	The DC (Difference of Concave/Convex, DC)programming and the genetic algorithm are used to opti-mize the information's power allocation matrices as well as the power allocation factors of the information signal and artifi-cial noise respectively.

zh-cn	对所提方案进行了仿真验证，证明理论推导正确，优化算法能有效地提高系统的平均保密和速率。
en-us	The simulation results prove that the theoretical derivation is correct, and the optimization algorithm can effectively improve the average secrecy sum rate.

zh-cn	对于雷达高分辨距离像的识别问题，传统深层网络通常忽略了 HRRP 自身的目标特性，不利于学习有效的分类特征，导致其识别性能受到限制。
en-us	Traditional deep networks used for radar High-Resolution Range Profile (HRRP)target recognition usuallyignore the inherent characteristics of the target, which results in the limited capability to learn effective features for classifica-tion task.

zh-cn	针对这一问题，本文提出了一种基于稳健变分自编码模型的目标识别算法。
en-us	To address this issue, a novel nonlinear feature learning method, called Robust Variational Auto-Encoder model(RVAE)is proposed.

zh-cn	该算法结合 HRRP 数据特性，利用平均像在散射点不发生越距离单元走动的方位帧内具有稳健物理特性的性质，基于变分自编码器构建了稳健变分自编码模型。
en-us	According to the stable physical properties of the average profile in each HRRP frame without migra-tion through resolution cell, RVAE is developed based on variational auto-encoder.

zh-cn	该模型不仅能够获取稳健有效的识别特征，而且在一定程度上保存了数据的帧内结构信息，较大地提高了目标的平均识别率。
en-us	And such model is able to not only ex-plore the latent representations of HRRP but also reserve structure characteristics of the HRRP frame.

zh-cn	基于实测 HRRP 数据验证了所提算法的有效性。
en-us	We use the measured HRRP data to show the effectiveness and efficiency of our algorithm.

zh-cn	生成适应模型利用生成对抗网络实现模型结构，并在领域适应学习上取得了突破。
en-us	Generate-to-adapt model has used generative adversarial network to implement model structure and has made a breakthrough in domain adaptation learning.

zh-cn	但其部分网络结构缺少信息交互，且仅使用对抗学习不足以完全减小域间距离，从而使分类精度受到影响。
en-us	However, some of its network structures lack information interaction, and the ability to use only adversarial learning is not sufficient to completely reduce the inter-domain distance.

zh-cn	为此，提出一种基于生成对抗网络的无监督域适应分类模型(Unsupervised Domain Adaptation classification model based on GAN，UDAG)。
en-us	In this paper, an unsupervised domain adaptation classification model based on generative adversarial network (UDAG)is proposed.

zh-cn	该模型通过联合使用生成对抗网络和多核最大均值差异度量准则优化域间差异，并充分利用无监督对抗训练及监督分类训练之间的信息传递以学习源域分布和目标域分布之间的共享特征。
en-us	This model optimizes inter-domain differences and makes full use of the information between unsupervised confrontation training and supervised classification training to learn the shared features between the source and target domain distribution.

zh-cn	通过在四种域适应情况下的实验结果表明，UDAG 模型学习到更优的共享特征嵌入并实现了域适应图像分类，且分类精度有明显提高。
en-us	The ex-perimental results under four domain adaptation conditions show that the UDAG model learns better shared feature embed-ding and implements domain adaptive classification, and the classification accuracy is significantly improved.

zh-cn	视频帧中复杂的环境背景、照明条件等与行为无关的视觉信息给行为空间特征带来了大量的冗余和噪声，一定程度上影响了行为识别的准确性。
en-us	In video frames, the complex environment background, lighting conditions and other visual information un-related to action bring a lot of redundancy and noise to action spatial feature, which affects the accuracy of action recognitionto some extent.

zh-cn	针对这一点，本文提出了一种循环区域关注单元以捕捉空间特征中与行为相关的区域视觉信息，并根据视频的时序特性又提出了循环区域关注模型。
en-us	In view of this, this paper proposes a recurrent region attention cell to capture the visual information of theregion related to the action in spatial features. Based on the sequence nature of video, a recurrent region attention model(RRA)is proposed.

zh-cn	其次，本文又提出了一种能够突显整段行为视频序列中较为重要帧的视频帧关注模型，以减少异类行为视频序列间相似的前后关联给识别带来的干扰。
en-us	Secondly, this paper proposes a video frame attention model (VFA)that can highlight the more impor-tant frames in the video sequence of the whole action, so as to reduce the interference brought by the similar before and after correlation between video sequences of different actions.

zh-cn	最后，提出了一个能够端到端训练的网络模型:基于循环区域关注和视频帧关注的视频行为识别网络(Recurrent Region Attention andVideo Frame Attention based video action recognition Network，RFANet)。
en-us	Finally, this paper presents a network model which can performend-to-end training: recurrent region attention and video frame attention based video action recognition network (RFANet).

zh-cn	在两个视频行为识别基准 UCF101 数据集和 HM-DB51 数据集上的实验表明，本文提出的端到端网络 RFANet 能够可靠地识别出视频中行为的所属类别。
en-us	Experiments on two video action recognition benchmark UCF101 dataset and HMDB51 dataset show that the RFANet pro-posed in this paper can reliably identify the category of action in the video.

zh-cn	受双流结构启发，本文构建了双模态 RFANet 网络。
en-us	Inspired by the two-stream structure, we constructa two-modalities RFANet network.

zh-cn	在相同的训练环境下，双模态 RFANet 网络在两个数据集上达到了最优的性能。
en-us	In the same training conditions, the two-modalities RFANet network achieved optimal performance on both datasets.

zh-cn	针对卫星磁特性研究与磁试验，建立了卫星多磁偶极子模型，分离了线性和非线性部分。
en-us	According to the research of satellite magnetic characteristics and magnetic test, the model of satellite multi-magnetic dipole is established, the linear part and nonlinear parts are separated.

zh-cn	利用遗传算法，以测点的模拟值和测量值之差的均方根作为目标函数，搜索多磁偶极子的位置，同时检测拟合误差，使得目标函数达到最优的同时，拟合误差也满足要求。
en-us	The root mean square of the difference between the simulated value and the measured value is taken as the objective function, and the genetic algorithm is used to search the position of the multi-magnetic dipoles, at the same time, the fitness error between measurements and calculations is monitored so that when the object function reaches the optimum, the fitness error can meet the requirement.

zh-cn	最后对卫星静止状态和加电状态的磁性进行了计算，试验结果表明，用该方法建立卫星磁场模型精度高，磁矩和磁场的误差均小于 5% ，并且对测量误差不敏感，具有很强的鲁棒性。
en-us	At last, the magnetic properties of the satellite in static state and electrified state are calculated, the result shows that the magnetic model obtained by adopting the method is high accurate and strong robust, the error of magnetic field and magnetic moment areboth less than 5% .

zh-cn	针对深度神经网络模型仅学习当前指代链语义信息忽略了单个指代链识别结果的长期影响问题，提出一种结合深度强化学习(deep reinforcement learning)的维吾尔语人称代词指代消解方法。
en-us	Deep neural network models for Uyghur personal pronouns resolution learn semantic information for cur-rent anaphora chain, but ignore the long-term effects of single anaphora chain recognition results. This paper proposes aUyghur personal pronoun anaphora resolution based on deep reinforcement learning.

zh-cn	该方法将指代消解任务定义为强化学习环境下顺序决策过程，有效利用之前状态中先行语信息判定当前指代链指代关系。
en-us	This method defines the anaphora res-olution task as the sequential decision process under the reinforcement learning environment, and effectively uses the ante-cedent information in the previous state to determine the current personal pronoun-candidate antecedent pairs.

zh-cn	同时，采用基于整体奖励信号优化策略，相比于使用损失函数启发式优化特定的单个决策，该方法直接优化整体评估指标更加高效。
en-us	In this study, we use an overall reward signal optimization strategy, which is more efficient than directly using the loss function heuristicto optimize a specific single decision.

zh-cn	最后在维吾尔语数据集进行实验。
en-us	Finally, we conduct experiments in the Uyghur dataset.

zh-cn	实验结果显示，该方法在维吾尔语人称代词指代消解任务中的 F 值为 85.80% 。
en-us	The experimental results show that the F value of this method in the Uyghur personal pronouns resolution task is 85. 80% .

zh-cn	实验结果表明，深度强化学习模型能显著提升维吾尔语人称代词指代消解性能。
en-us	The experimental results show that the deep reinforcement learning model can significantly improve the performance of the Uyghur personal pro-nouns resolution.

zh-cn	目标检测是计算机视觉领域内的热点课题，在机器人导航、智能视频监控及航天航空等领域都有广泛的应用。
en-us	Object detection is a hot topic in the field of computer vision, and has been widely used in robot naviga-tion, intelligent video surveillance, aerospace, and other fields.

zh-cn	本文首先综述了目标检测的研究背景、意义及难点，接着对基于深度学习目标检测算法的两大类进行综述，即基于候选区域和基于回归算法。
en-us	The research background, significance and challenges of object detection were introduced. Then the object detection algorithms based on deep learning were reviewed according to two cate-gories:candidate region-based and regression-based.

zh-cn	对于第一类算法，先介绍了基于区域的卷积神经网络(Region with Convolutional NeuralNetwork，R-CNN)系列算法，然后从四个维度综述了研究者在 R-CNN 系列算法基础上所做的研究:对特征提取网络的改进研究、对感兴趣区域池化层的改进研究、对区域提取网络的改进研究、对非极大值抑制算法的改进研究。
en-us	For the candidate region-based algorithms, we first introduced the R-CNN (Region with Convolutional Neural Network)based series of algorithms, and then the R-CNN based methods were o-verviewed from four dimensions:the research of feature extraction networks, the region of interesting pooling researches, im-proved works based on region proposal networks, and some improved approaches of non maximum suppression algorithms.

zh-cn	对第二类算法分为 YOLO(You Only Look Once)系列、SSD(Single Shot multibox Detector)算法及其改进研究进行综述。
en-us	Next, the regression-based algorithms were surveyed in terms of YOLO(You Only Look Once)series and SSD(Single Shotmultibox Detector)series.

zh-cn	最后根据当前目标检测算法在发展更高效合理的检测框架的趋势下，展望了目标检测算法未来在无监督和未知类别物体检测方向的研究热点。
en-us	Finally, according to the current trend of object detection algorithms that are developing more effi-cient and reasonable detection frameworks, the future research focuses of unsupervised and unknown category object detec-tion directions were prospected.

zh-cn	针对多波束卫星通信系统星上资源稀缺和能量利用效率不高的问题，本文提出了分布式星群网络下行链路中兼顾系统功耗和数据速率的功率分配方法，通过合理的资源分配来优化系统的能量效率。
en-us	Aiming at the problem of scarcity of on-board resources and low energy utilization efficiency in multi-beam satellite communication system, this paper proposed the power allocation algorithm in distributed satellite cluster net-work downlink considering both system power consumption and data rate. And the energy efficiency of the system is opti-mized by reasonable resource allocation.

zh-cn	首先建立分布式星群功率分配模型，将复杂的分式问题转化为易于求解的减法形式问题。
en-us	First we built distributed satellite cluster power allocation model and transformed the problem of fractional form to simple subtractive form.

zh-cn	然后基于凸优化理论，提出功耗-数据速率权衡功率分配算法，并讨论了能量效率(energy efficiency)与频谱效率(spectral efficiency)之间的权衡关系。
en-us	Then based on convex optimization, the power-data rate trade off pow-er allocation algorithm is proposed, and the trade-off between energy efficiency (EE)and spectral efficiency (SE)is dis-cussed.

zh-cn	仿真结果验证了提出算法的有效性和 EE-SE 权衡关系，并分析了电路功耗对系统性能的影响。
en-us	The numerical results validate the effectiveness of the proposed algorithm and the EE-SE tradeoff, and the influenceof circuit power on system performance is also analyzed.

zh-cn	建立了板级组件 BGA(Ball Grid Array)焊点有限元分析模型，对 BGA 焊点进行了再流焊冷却过程应力仿真分析，
en-us	A finite element model of board level assembly BGA (Ball Grid Array)solder joint is established, the stress simulation analysis of BGA solder joint in the cooling process of reflow soldering is carried out,

zh-cn	设计并完成了验证性实验以验证仿真分析方法的有效性，分析了焊点结构参数和材料变化对焊点再流焊冷却过程应力应变的影响，
en-us	the confirmatory ex-periment is designed and carried out to verify the validity of simulation analysis method, and the influence of solder jointstructure parameters and material on the stress and strain of solder joint are analyzed.

zh-cn	采用响应面法建立了焊点应力与结构参数的回归方程，结合遗传算法对焊点结构参数进行了优化。
en-us	The regression equations of the stressand structure parameters of the solder joints is established by the response surface method, and solder joint structure parame-ters are optimized by genetic algorithm.

zh-cn	结果表明：实验结果证明了仿真分析的有效性;
en-us	The results show that the experiment results verify the effectiveness of the simulationanalysis,

zh-cn	焊点应力随着焊点高度的增加而增大，随着焊点直径的增加而减小;
en-us	the stress of the solder joint increases with the increase of the height of the solder joint, and decreases with the in-crease of the diameter of the solder joint,

zh-cn	最优焊点结构参数水平组合为:焊点高度 0.44mm、焊点直径 0.65mm、焊盘直径 0.52mm 和焊点间距 1.10mm;
en-us	and the optimal level combination of solder joint structure parameters is the heightof 0. 44mm, the diameter of 0. 65mm, the pad diameter of 0. 52mm and the solder joint pitch of 1. 10mm,

zh-cn	对该最优焊点仿真验证表明最大应力下降了 0.1101MPa。
en-us	the simulation re-sults of the optimal level combination of solder joint show that the maximum stress decreases by 0. 1101MPa.

zh-cn	全色图像与多光谱图像融合时，忽略了上采样的重要性和通道间细节的差异性。
en-us	On the fusion of panchromatic and multispectral images, two important aspects, up-sampling of multispec-tral images and the difference of channel details, are ignored.

zh-cn	针对前者，利用不同尺度下自相似块，估计出低分辨率图像丢失信息，从而修改了图像上采样的策略，并以此构造目标函数的保真项;
en-us	For the former, the loss details of low-resolution images are es-timated by using self-similar patch at different scales to improve up-sampling.

zh-cn	针对后者，利用全色图像和光谱图像梯度域结构相似性，提出局部加权动态稀疏约束，构造目标函数的正则项。
en-us	For the latter, the local weighted dynamic sparse constraint is proposed based on the structural similarity between panchromatic images and spectral images in gradient domain.

zh-cn	本文基于变分法理论，构造了新的目标函数。
en-us	The new objective function based on variational method are proposed, the fidelity term and the regularization term of whose are constructed respectively according to the former and the latter.

zh-cn	并提出了多尺度迭代融合框架，通过多次迭代逐步提高融合图像的分辨率。
en-us	In addition, a multi-scale iterative fusion frameworkis presented, where the resolution of the fused image is gradually improved through iterations.

zh-cn	每一层的融合结果更加准确，从而提高最终的融合精度。
en-us	The fused results of each itera-tion are more accurate, so the final fused image is improved.

zh-cn	本文算法与 Brovey 等成分替代算法、P + XS 等变分算法、MTF_GLP 等多分辨分析算法进行比较。
en-us	Our algorithm is compared with Brovey and other componentsubstitution algorithms, P + XS and other variational algorithms, MTF_GLP and other multi-resolution analysis algorithms.

zh-cn	实验结果表明，本算法的融合结果具有良好的视觉效果，且在客观评价指标上比所有对比算法的最优值平均值均有提高。
en-us	The experimental results show that the fusion results of this algorithm have good visual effect, and the objective evaluation index is better than the average of the optimal value of all comparison algorithms.

zh-cn	针对空间信息网络中节点高速运动导致的网络拓扑结构难以长期稳定的问题，本文提出了基于代数连通度优化的网络动态拓扑控制方法，通过少量链路调整来维持网络拓扑的稳定性。
en-us	Aiming at the problem of long-term stability of the network topology caused by high-speed movement ofnodes in a space information network, a dynamic topology control method based on the algebraic connectivity optimization is proposed to reduce the number of links so as to maintain the stability of the network topology.

zh-cn	为减小空间信息网络节点持续相对运动对网络拓扑结构稳定性造成的不利影响，针对网络初始化和网络重构场景，采用图论中的拉普拉斯矩阵特征值优化思想，构建了星上资源约束条件下的加权代数连通度最大化模型。
en-us	In order to reduce the adverse effect of the continuous relative motion of the space information network nodes on the stability of the network topology, ac-cording to the network initialization and network reconstruction scenarios, the Laplacian eigenvalue optimization in graph the-ory is used to construct the algebraic connectivity optimization model with resource constraints.

zh-cn	为降低计算复杂度来实现网络拓扑的捷变控制，提出了基于连通矩阵弱摄动的动态网络拓扑控制策略。
en-us	To reduce the computationalcomplexity and achieve agile control of network topology, a dynamic network topology control strategy based on weak per-turbation of connectivity matrix is proposed.

zh-cn	研究结果表明，提出的算法能够通过内点法，可高效地得到次优解，且次优解与全局最优解十分接近。
en-us	The results show that the proposed algorithm can obtain suboptimal solutionsvery efficiently through the interior point method, and the suboptimal solution is very close to the global optimal solution.

zh-cn	网络欺凌在社交媒体平台的日益泛滥引起了研究者的广泛关注，社会科学和计算机科学研究者从不同的角度对该问题进行了研究与探讨。
en-us	Cyberbullying has attracted the increasing attention among researchers. Social and computer science re-searchers have explored cyberbullying from various perspectives.

zh-cn	为梳理这些研究，本论文对社会科学领域和计算机领域在网络欺凌方面的研究进行了调查分析。
en-us	This paper surveys the existing work on cyberbullying de-tection in social and computer science domains.

zh-cn	首先概述了网络欺凌的基本研究内容和网络欺凌特征，重点讨论了各种用于网络欺凌检测的机器学习方法，包括基于监督学习、基于弱监督学习、基于预设规则和深度学习算法，
en-us	It first introduces the basic research problems and characteristics of cyberbul-lying;second, it discusses a variety of machine learning algorithms for cyberbullying detection, including supervised learn-ing, weakly supervised learning, rule-based and deep learning algorithms;

zh-cn	随后总结了 12 个现有的网络欺凌检测数据集和常用的检测性能评价指标，
en-us	and third, it summarizes 12 existing datasets used incyberbullying detection and the popular metrics for detection performance.

zh-cn	最后对基于异构信息网络、融合多种辅助信息和结合心理学特征的欺凌检测方法等进行了展望。
en-us	Finally, the paper analyzes the potential researchfrom several aspects, such as cyberbullying detection approaches based on heterogeneous information network, auxiliary in-formation fusion, and psychological characteristics.

zh-cn	软件定义网络(Software-Defined Networking，SDN)的“三层两接口”架构使攻击者可以通过分析数据包往返时延分布规律推测网络类型、控制器类型及关键流规则等指纹信息。
en-us	The“three-layer two-interface”architecture of software-defined networking (SDN)enables attackers to infer fingerprint information such as network type, controller type, and key flow rules by analyzing the round-trip time distri-bution of packets.

zh-cn	目前 SDN 指纹攻击及其防御研究基本处于空白状态，为此，本文系统构建了全要素 SDN 指纹攻击链，
en-us	Currently SDN fingerprint attack and its defense research are not mature, so this paper constructs a full-factor SDN fingerprint attack chain.

zh-cn	并在双重时间维度分别设计了概率加扰和控制器混淆调度防御机制，通过渐变概率加扰与最优混淆调度协同提升 SDN 指纹信息隐藏度。
en-us	Then, the probabilistic scrambling mechanism and controller dynamic confusion schedu-ling mechanism are designed in the dual time dimension respectively. More specifically, the gradient probabilistic scramblingand optimal confusion scheduling synergistically promote the information hiding degree of SDN fingerprint.

zh-cn	实验结果表明该机制能够在有效隐藏SDN 指纹信息的同时减少对网络性能的影响。
en-us	The experimental results show that the mechanism can effectively hide the SDN fingerprint information while reducing the impact on networkperformance.

zh-cn	流形学习方法可以发现嵌入于高维观测数据中的低维流形结构，
en-us	Manifold learning method can find the low-dimensional manifold structures embedded in high-dimensionaldata.

zh-cn	但是传统的流形学习算法都是假设所有数据位于单一流形上，忽略了高维数据中不同的子集可能存在不同的流形。
en-us	However, the traditional manifold learning algorithms assume that all samples lie on a single manifold, while the sam-ples in different subsets may belong to different sub-manifolds.

zh-cn	针对上述问题，本文提出一种监督多流形鉴别嵌入的维数约简方法，并应用于高光谱遥感影像分类。
en-us	To solve the above problem, a new dimensionality reduction(DR)method termed supervised multi-manifold discriminant embedding (SMMDE)is proposed for classification of hyper-spectral remote sensing image.

zh-cn	该方法首先利用样本数据的类别标签进行多子流形划分，在此基础上采用图嵌入理论构造流形内图和流形间图，
en-us	At first, the proposed method explore the labels of HSI data to divide samples into differentsub-manifolds. Based on the graph embedding framework, the intra-manifold and inter-manifold graphs are constructed to re-present the multi-manifold structure of HSI data,

zh-cn	然后通过最小化流形内距离同时最大化流形间距离以增强类内数据聚集性和类间数据分散性，提取低维鉴别特征，改善地物分类性能。
en-us	and the intra-class aggregation and inter-class separation are enhanced by minimizing the intra-manifold distance and maximizing the inter-manifold distance simultaneously. Therefore, low-dimen-sional discriminant features are obtained to improve the performance of HSI classification.

zh-cn	在 University of Pavia (PaviaU)和 KennedySpace Center (KSC)高光谱数据集上的实验表明，相较于其他单流形算法和多流形算法，该方法取得了更高的分类精度，在随机选取 2% 训练样本时，其总体分类精度分别达到 88.04% 和 84.53% ，有效提升了地物分类性能。
en-us	Experimental results on the Pavi-aU and KSC hyperspectral data sets show that the overall classification accuracies respectively reach 88. 04% and 84. 53%when 2% training samples are randomly selected for training. The proposed SMMDE method can effectively improve classi-fication performance compared with many state-of-art DR algorithms.

zh-cn	高可靠性对于星载天线至关重要，印制馈线和焊点往往会严重降低天线的工程可靠性。
en-us	High reliability is essential for spaceborne antenna, however PCB feeder and solder joint are usually lackingof guarantee in reliability.

zh-cn	针对这一问题，本文以超宽带圆锥螺旋天线的设计为例，强化电气、结构和工艺协同设计思想，通过改进传统巴伦结构，提出了电缆、巴伦和螺旋线一体化的无焊接设计方案。
en-us	Therefore, a integrative and solderless design of cable, balun and spital is proposed using improvedbalun, intensifying the cooperative design idea of electricity, structure and technology. As a example, a UWB conical spiralantenna is designed.

zh-cn	仿真结果表明，所设计的天线在整个工作频段内具有良好的宽角高增益覆盖、宽角圆极化特性和前后比指标。
en-us	The simulated results show that the antenna achieves a wide-angle coverage with high gain and low axialratio, as same as high front-to-back ratios.

zh-cn	针对辐射源识别中噪声敏感和识别能力不足等问题，提出了一种基于核空间时频特征与栈式稀疏降噪自编码网络的识别系统。
en-us	To enhance the classification performance and noise sensitivity of emitter signal recognition, a recognition system based on kernel space time-frequency feature and stacked sparse denoising auto-encoders (SSDAE)is proposed.

zh-cn	通过时频变换、稀疏域降噪和核空间降维投影降低噪声干扰和特征冗余，
en-us	Firstly, the noise interference and feature redundancy reduced by time-frequency transform, sparse-domain denoising and ker-nel space dimensionality reduction.

zh-cn	基于降噪自编码与稀疏自编码思想构建栈式稀疏降噪自编码识别网络。
en-us	Then, it is based on the idea of sparse auto-encoder (SAE)and denoising auto-encoder(DAE), an SSDAE based recognition network is constructed.

zh-cn	实验结果表明系统在识别率和时效性上综合性能最优，能够显著降低噪声敏感性，低信噪比环境下适应性较强。
en-us	Experimental results show that the system has the best com-prehensive performance in recognition rate and time efficiency, which can significantly reduce noise sensitivity and improvelow SNR environment adaptability.

zh-cn	当信噪比为 － 12dB 时，系统对 8 类辐射源信号的整体平均识别率达到 96.75% 。
en-us	When the SNR is － 12dB, the overall average recognition rate of the system for the 8types of emitter signals reaches 96. 75% .

zh-cn	本文制备并研究了肖特基型 β-Ga2O3日盲紫外光电探测器。
en-us	In this work, we fabricate and investigate the Schottky β-Ga2O3solar-blind UV photodetectors.

zh-cn	结果表明：通过脉冲激光沉积外延生长的β-Ga2O3的(-201)晶面 X 射线衍射峰半高宽仅为 36 arcsec，表现出了高的晶体质量;
en-us	The results show that full width at half maximum of the X-ray diffraction peak from (-201)plane of the β-Ga2O3grown by pulsed laserdeposition is only 36 arcsec, indicating that the epitaxial β-Ga2O3has a high crystal quality.

zh-cn	光暗条件下的 I-V 曲线显示所制备的器件具有明显的肖特基整流特性，在 － 5V 偏压下暗电流保持在 0.1nA 量级，正向导通电压为 1.5V;
en-us	The fabricated Schottky diodes based on the β-Ga2O3exhibits obvious Schottky rectification characteristic, and the dark current maintains at 0. 1 nA magni-tude under － 5 V bias voltage, and forward conduction voltage is 1. 5 V.

zh-cn	光电流谱显示器件在 240nm 处存在显著的峰值响应，并在 260nm 左右呈现陡峭的截止边，日盲紫外的带内带外抑制比达到 1000。
en-us	The photocurrent spectrum show that the device ex-hibits remarkable peak response at 240 nm, a steep cutoff wave length at 260 nm, and a rejection ratio of 1000 between in-band and out-band of solar-blind ultraviolet.

zh-cn	同时，也研究了不同掺杂对 Ga2O3晶体质量的影响。
en-us	Meantime, the effects of different dopants on the crystal quality of β-Ga2O3 are also studied.

zh-cn	目前小样本条件下高分辨距离像雷达目标识别算法存在识别率较低、识别率稳定度较差等问题，
en-us	At present, the existing high-resolution range profile radar target recognition algorithm with limited trainingdata still has several drawbacks (e.g., low recognition accuracy and poor recognition stability).

zh-cn	对此，本文提出了基于数据增强和加权辅助分类生成对抗网络(Weighted Auxiliary Classifier Generative Adversarial Networks，WACGAN)的雷达目标识别算法。
en-us	To this end, an efficient ra-dar target recognition algorithm is developed in this paper, which is based on data augmentation and Weighted AuxiliaryClassifier Generative Adversarial Networks (WACGAN).

zh-cn	该算法首先根据雷达目标散射特性，通过时间镜像数据增强方法扩充数据集，
en-us	Specifically, we expand data set by using the data augmentationmethod based on time mirroring, and the radar target scattering characteristics is considered.

zh-cn	然后将扩充数据集输入 WACGAN，通过自动选择高质量的生成样本，使判别器在标签样本监督学习的基础上得到进一步优化，
en-us	After that, the WACGAN withexpanded data set is used to automatically select high-quality generated samples and further optimize the discriminator, which has been improved through the supervised learning.

zh-cn	最后直接利用判别器实现对雷达目标的有效识别。
en-us	Then, the optimized discriminator is used to recognize radar target.

zh-cn	仿真实验结果表明，本文算法在不增加识别时间的基础上，有效提高了小样本条件下对雷达目标的识别率和识别稳定度。
en-us	Final-ly, several numerical experiments have been carried out to demonstrate that, under the condition of limited training data, the proposed algorithm possesses higher recognition accuracy and better recognition stability without increasing recognition time.

zh-cn	在高速移动通信系统中，收发双方往往面临较大多普勒频移和有限导频开销两个问题，从而会严重影响传统载波同步模式(Traditional Carrier Synchronization Pattern，TCSP)的整体性能。
en-us	Considering high-speed mobile communications, transceivers always work subject to the large Doppler shiftand limited pilot overhead, which severely influences the overall performance of traditional carrier synchronization pattern(TCSP).

zh-cn	为此，本文提出了一种强鲁棒性的载波参数估计解耦合技术(Carrier Parameter Rstimation Decoupling Technique ，CPEDT)，并应用到传统载波同步模式(CPEDT-TCSP)中。
en-us	Thus, a strong robust carrier parameter estimation decoupling technique (CPEDT)is proposed, followed by its appli-cation to the TCSP (yielding the CPEDT-TCSP).

zh-cn	首先在接收端任取一段导频信号进行解调操作，
en-us	First, the pilot signals with certain length are selected at receiver to performthe demodulation operation,

zh-cn	然后对解调信号进行有效延迟 长度为 α 的相关运算，
en-us	and then the correlation operation with an effective delay length α is performed by the demodula-tion signals.

zh-cn	一方面利用该相关运算的结果作频偏估计，另一方面利用取 α 为导频长度一半的相关运算结果的共轭形式与解调信号一同作最大似然相偏估计。
en-us	On the one hand, the frequency offset is estimated by the result of the correlation operation, and on the other hand the conjugate form of the correlation operation result which takes α as half of the pilot length α is used to implement maximum likelihood (ML)phase offset estimation.

zh-cn	理论分析和仿真结果均表明，考虑修正的数据帧结构，提出的 CPEDT-TCSP 可以实现传统载波同步模式中频偏估计和相偏估计的解耦合，
en-us	Theoretical analysis and simulation results show that considering a modified data frame, the CPEDT-TCSP can implement the decoupling between both the frequency offset estimation and phase offset estima-tion in the TCSP,

zh-cn	同时还能够显著降低最大似然相偏估计的复乘运算量。
en-us	and can also reduce the complex multiplication operations for the ML phase offset estimation.

zh-cn	高性能深度包检测系统使用确定型有穷自动机 DFA(Deterministic Finite Automata)来执行数据包的检测过程。
en-us	Start-of-the-art deep packet inspection system uses deterministic finite automata (DFA)algorithms to per-form regular expression matching.

zh-cn	然而，DFA 所带来的存储消耗问题使其难以适用于片内资源稀缺的 FPGA。
en-us	Nevertheless, the storage consumption problem caused by DFA make it difficult to applyto FPGA with scarce on-chip resources.

zh-cn	目前已存在多种算法着眼于解决DFA 的空间爆炸问题，但是其在带来较好压缩率的同时，也在一定程度上影响到了系统的检测速度。
en-us	At present, there are many algorithms aiming at solving the space explosion problem of DFA, but it affects the detection speed of the system to some extent while bringing better compression ratio.

zh-cn	本文提出了一种无匹配时间损耗的 DFA 压缩算法，并在此基础上，基于 FPGA 硬件平台，设计实现了单个 DFA 匹配引擎。
en-us	In this paper, a DFA compression algorithm without matching time loss is proposed. Based on the hardware platform of FPGA, a single DFA matching engine is designed and implemented.

zh-cn	实验测试结果表明，本文所设计的算法，在未影响整个系统匹配性能的前提下，可以实现 10% ～ 30% 左右的压缩率。
en-us	Experimental results show that the algorithm can achieve a compression rate of 10% to 30% without affecting the matching performance of the whole system.

zh-cn	针对频分双工(Frequency Division Duplexing，FDD)大规模多入多出(Multiple-Input Multiple-Output，MI-MO)系统中现有信道状态信息(Channel State Information，CSI)反馈方法复杂度高、反馈精度低的问题，本文提出一种基于深度学习的 CSI 压缩反馈方法。
en-us	Existing channel state information (CSI)feedback methods for frequency division duplexing (FDD)mul-tiple-input multiple-output (MIMO)systems have high complexity and low feedback accuracy. In this paper, a deep learn-ing-based CSI compression feedback method is proposed.

zh-cn	该方法首先采用卷积神经网络(Convolutional Neural Network，CNN)提取信道特征矢量，
en-us	The method first uses the convolutional neural network (CNN)toextract the channel feature vector,

zh-cn	然后利用最大池化(Maxpooling)网络压缩 CSI，
en-us	and then uses the maximum pooling (Maxpooling)network to compress the CSI.

zh-cn	最后考虑到大规模 MIMO 信道存在空间相关性的特点，分别对单用户和多用户场景使用双向长短期记忆(Bidirectional Long Short-Term Memory，Bi-LSTM)网络和双向卷积长短期记忆(Bidirectional Convolutional Long Short-Term Memory，Bi-ConvLSTM)网络对 CSI 进行重构。
en-us	Finally, considering the spatial correlation of the massive MIMO channel, bidirectional long short-term memory (Bi-LSTM)networkand bidirectional convolution long-term memory (Bi-ConvLSTM)network are used for single-user and multi-user scenariosrespectively to recover the CSI.

zh-cn	本文利用大规模 MIMO 信道数据对所提的深度学习网络进行离线训练，该网络学习到的信道信息能充分表征信道的状态。
en-us	In this paper, the deep learning network is trained offline using massive MIMO channel data, the channel information learned by the network can fully characterize the states of the channel.

zh-cn	仿真结果表明，与已有的典型 CSI 反馈方法相比，本文所提方法反馈精度更高，运行时间更短，系统性能提升明显。
en-us	The simulation results show that compared with the existing typical CSI feedback methods, the proposed method has higher feedback accuracy, shorter running time and better system performance.

zh-cn	基于频差法原理实现顺序等效采样方法，将时域问题转化到频域进行处理，
en-us	A new sequential equivalent sampling method is proposed based on the principle of frequency differencemethod, which transforms the sampling problem from time domain to frequency domain.

zh-cn	理论上分析其可行性，给出频率差值的计算方法，可以通过频差设计任意等效采样频率。
en-us	The feasibility of the proposedmethod is theoretically analyzed and also verified by an experimental circuit board, where the equivalent sampling frequecycan be set arbitrarily by changing the frequency difference.

zh-cn	经过电路板实验验证，该方法简化了步进延时系统的复杂度，降低延时路径上的引入的干扰，目前实现的最小步进延时为 1.71ps，最高顺序等效采样率约为 585GS/s。
en-us	This method simplifies the design of step delay system and re-duces the interference introduced in time delay path, making out the minimum step delay is 1. 71ps and the maximum se-quential equivalent sampling rate is about 585GS /s.

zh-cn	为了缩短基于频差法的顺序等效采样所需的总时间，提出了倍频采样时钟的技术。
en-us	In order to shorten the total time required for sequential equivalent sam-pling, a technique of frequency doubling sampling clock is proposed.

zh-cn	该方法可以扩展应用到许多等效采样的领域中。
en-us	The proposed sampling method can be widely used inother equivalent sampling systems.

zh-cn	分布式驱动电动汽车(Distributed Drive Electric Vehicles，DDEV)采用内嵌式轮毂电机，使各车轮独立可控，具有调节形式多样化等突出优点。
en-us	Distributed drive electric vehicles (DDEV)adopts in-wheel motor, which makes each wheel independently con-trollable. DDEV has advantages such as the diversified adjustment modes.

zh-cn	合理的轮毂电机转矩分配是保证 DDEV 稳定性的关键。
en-us	Reasonable in-wheel motor torque distribution is a key factor to guarantee the stability of DDEV.

zh-cn	本文为提高 DDEV 稳定性，分析了轮毂电机转矩分配与稳定性的关系，提出一种基于模型预测控制器的 DDEV 轮毂电机转矩分配控制系统。
en-us	In this paper, the relationship between in-wheel motor torque distribution and stability of DDEV is analyzed, and a model predictive controller-based in-wheel motor torque control system is proposed to improve the sta-bility of DDEV.

zh-cn	所提出的控制系统由上层控制器和下层控制器两个主要部分组成。
en-us	The proposed control system consists of two parts, including the upper controller and the lower controller.

zh-cn	上层控制器设计了基于拉盖尔函数的模型预测控制器，综合分析保证 DDEV 稳定性所需的轮毂电机转矩约束条件，实现轮毂电机最优转矩分配，提高 DDEV 稳定性。
en-us	In the upper controller, a raguel function-based model predictive controller is designed to obtain the optimal torque distribution scheme, by analyzing the constraints of in-wheel motor torque comprehensively.

zh-cn	下层控制器对四个轮毂电机进行实时控制，执行上层控制器设计的最优转矩分配方案。
en-us	The lower controller implements the optimal torque distri-bution scheme of the upper controller in real time.

zh-cn	最后在搭建的 Matlab/Simulink环境下进行仿真验证。
en-us	Finally, the simulation under the Matlab/Simulink is implemented.

zh-cn	为使目标移除后的修复效果更好地满足人眼视觉要求，本文提出基于结构偏移映射统计和多方向特征的修复方法。
en-us	To make the inpainted images better meet human eye visual requirement, this paper proposes a MRF image in painting algorithm based on structure offset statistics and multi-direction features.

zh-cn	一方面，为更好地保持修复后图像结构部分的连贯性，首先基于 Curvelet 变换获得的边缘特征将待修复图像划分为结构部分和非结构部分，分别统计相似块之间的偏移映射，
en-us	On one hand, to better maintain structurecoherence of the inpainted images, the degraded image is partitioned into structure and non-structure parts according to theedge features extracted by Curvelet transform, and the offsets between the similar patches are respectively counted.

zh-cn	在此基础上选择主要的偏移映射作为两部分的候选标签。
en-us	For each part a few dominant offsets are selected as the candidate labels according to their statistics.

zh-cn	另一方面，为更好地保持填充区域内相邻像素间的连续一致性，构造引入多方向特征的全局能量优化方程。
en-us	On the other hand, to better main-tain neighborhood consistence between adjacent pixels, the energy function is constructed by incorporating multi-direction features.

zh-cn	实验结果表明本文所提出的图像修复算法性能优于多种现有算法。
en-us	Experimental results show that the proposed approach outperforms several state-of-the-art methods.

zh-cn	Abstract-Refine(抽象—精炼)方法是软件模型检测领域中较为有效的设计思想，具有较高的通用性和效率优势，
en-us	Abstract-Refine is a relatively effective method in the field of software model checking, which has the ad-vantages of high generality and efficiency.

zh-cn	但目前并没有一个框架可以对其精确进行描述及实现有效的模块化使用和替换。
en-us	However, there is no framework for precise description and effective modular useor replacement of this method so far.

zh-cn	本文提出了一种模块化的Abstract-Refine 算法框架，分析和解释了 Abstract-Refine 算法所接受的输入程序的精细结构和特性，
en-us	This paper introduces a modular Abstract-Refine algorithm framework which analyzesand explains the structure of input program in fine-grained level.

zh-cn	并对 Abstract-Re-fine 算法和相关子算法运用平衡操作符做以模块化解耦，使得子算法的修改和更换不需要依赖对上层的变更。
en-us	Also, this method modularly decouples Abstract-Refine al-gorithm from its sub-algorithms with the balancing operator, so that any modifications on sub-algorithms will not affect the upper level.

zh-cn	经过实验验证，本方法可有效实现传统算法模块化解耦，同时不对原算法的性能造成冲击。
en-us	Experiments verify that our approach can effectively implement modular decoupling of traditional algorithms, and will not impact the performance of original algorithms.

zh-cn	多目标回归学习是指同时学习多个相关的回归任务，其主要挑战来自于对输入要素和输出目标变量之间的基础关系进行建模以及对目标间的相关性进行探索。
en-us	Multi-target regression (MTR)refers to learning multiple relevant regression tasks simultaneously. The main challenges of multi-target regression arise from modeling the underlying relationships between input features and outputtarget variables as well as exploring inter-target correlations.

zh-cn	针对这两个挑战，本文提出了一种基于标签特定特征的多目标回归稀疏集成方法，通过探索目标间的相关性，为每个目标构建其独特的标签特定特征，提高算法整体的预测精度;
en-us	In this paper, we propose a multi-target regression method viasparse integration and label-specific features (SI-LSF)that utilizes inter-target correlations to improve the overall prediction accuracy by constructing label-specific features and deals with the input-output relationships through sparse integration of va-rious regression models.

zh-cn	同时设计一种稀疏性聚合函数对不同的回归方法进行集成，从而处理输入与输出间的复杂关系。在 18 个数据集上与有代表性的多目标回归方法进行对比实验，充分证明了本文方法的有效性与竞争性。
en-us	Extensive experimental evaluation on 18 benchmark datasets demonstrates that our proposed method can achieve competitive performance against representative state-of-the-art multi-target regression methods, which shows the great effectiveness in dealing with multivariate prediction.

zh-cn	大数据分布式存储系统中，修复流水线(Repair Pipelining，RP)减少 90% 的修复时间，有效地解决由于修复时间开销较大，纠删码不适用于存储热数据的问题。
en-us	In distributed storage system for big data, the repair pipelining (RP)reduces repair time by 90% , whicheffectively solves the problem that erasure code is not suitable for storing hot data due to the heavy overhead of repair time.

zh-cn	然而，现有的 RP 存在节点负载不均衡的问题，导致系统性能下降。
en-us	However, the existing RP has the problem of unbalanced load among nodes, which leads to the degradation of system per-formance.

zh-cn	通过研究后，设计节点负载均衡的纠删码修复流水线(Node Load Balancing-based Repair Pipelining，NLB-RP)，并根据性能评价指标提出计算节点负载的算法和计算修复时间的算法。
en-us	In this paper, a repair pipelining based on node load balancing (NLB-RP)is designed, and then the algorithms forcalculating the load of nodes and repair time according to the evaluation index of performance are proposed.

zh-cn	理论分析及实验结果表明，在没有引入额外修复代价的情况下，NLB-RP 从局部到整体有效地平衡并减少节点的负载。
en-us	Theoretical anal-ysis and experimental results both show that, from local to global, the NLB-RP can effectively balance and reduce the load ofnodes without introducing extra repair cost.

zh-cn	相比 RP，NLB-RP 的节点负载方差为 0，即每个节点的负载相同。
en-us	Compared with the RP, the load variance of the NLB-RP is zero, that is, the loadof each node is the same.

zh-cn	因此，NLB-RP 具有最优的负载均衡性。
en-us	Thus, the proposed NLB-RP has the optimal load balance.

zh-cn	为实现微波辐射计大带宽数字化探测的需求，解决现场可编程门阵列(Feild Programmable Gate Array，FP-GA)内部处理速度限制输入数据速率的问题，提出了一种基于多相滤波器组和高级快速傅里叶变换(Fast Fourier Trans-form，FFT)结构的高速数字谱仪设计方案，
en-us	High speed data rate due to the improvement of frequency band of microwave radiometer gives a greatchallenge to design the backend of microwave radiometer. A method of a combination of polyphase filterbanks structure andadvanced FFT structure was presented to solve this problem.

zh-cn	介绍了多相滤波器组和高级 FFT 理论基础并给出了具体的硬件设计和硬件实现，完成了硬件的功能仿真，将 MATLAB 仿真和硬件功能仿真的结果进行对比，验证了该设计方案的可行性。
en-us	This paper gave the design and key implementation of this method, compared result of mathematical method on MATLAB and that of implementation on FPGA. The results match eachother well, which means that this method can work in designing high speed digital spectrometer.

zh-cn	在低时间成本和低经济成本条件下，该方案可实现微波辐射计后端的灵活配置和共享多个微波辐射计前端的功能。
en-us	It is new in the design of backend of microwave radiometer used to achieve broadband measurement of atmosphere. It is flexible to change the design of backend to share different front ends of microwave radiometer at low time and financial cost. At the same time, it is a good resolution to realize high speed digital spectrometer.

zh-cn	ERACC (Extension Rule Based on Accurate Configuration Checking)算法由杨洋等人基于扩展规则和格局检测提出，具有较高的推理效率。
en-us	The algorithm ERACC proposed by Yang et al. has high reasoning efficiency.

zh-cn	为进一步提高 ERACC 算法在大规模 SAT(Satisfiability)问题求解上的性能，本文在搜索由极大项组成的空间时，首先利用 IMOM(Improved Maximum Occurrences on Clauses of Maximum Size)思想生成初始极大项，
en-us	To further improve perform-ance of ERACC algorithm in solving large-scale SAT problem, firstly, IMOM is used to generate the initial maximum term.

zh-cn	接着设计了适用于扩展规则推理的 CCA_ER(Configuration Checking with Aspiration for Extension Rule-BasedReasoning)启发式策略，为极大项中格局信息未发生变化的变量对应文字提供一定的翻转机会。
en-us	Then a CCA_ER is designed to provide certain opportunities for the literals of variables whose configurations have not beenchanged since their last flips in maximal terms.

zh-cn	同时，为进一步提高扩展规则推理算法在 k-SAT 问题求解上的性能，设计了适用于扩展规则推理的 PAWS_ER(Pure Additive WeightingScheme for Extension Rule-Based Reasoning)策略，
en-us	At the same time, in order to further improve the performance of extensionrule-based reasoning algorithm on the k-SAT problem, PAWS _ER is designed.

zh-cn	并且给出变量的 Subscore_ER(Subscore for Extension Rule-Based Rea-soning)，CScore_ER(Comprehensive Score for Extension Rule-Based Reasoning)和 HScore_ER(Hybrid Score for ExtensionRule-Based Reasoning)属性。
en-us	Then the Subscore _ER, CScore _ER andHScore_ER attributes for variables are further designed.

zh-cn	在此基础上，提出了 ERACC_IAPS(ERACC with IMOM，CCA_ER，PAWS_ER and Subscore_ER)和 CERACC_IAPS(ERACC with IMOM，CCA_ER，PAWS_ER，CScore_ER and HScore_ER)算法。
en-us	Finally, ERACC_IAPS and CERACC_ER algorithms are proposed.

zh-cn	实验结果表明:ER-ACC_IAPS 和 CERACC_IAPS 算法的效率明显优于 ERACC 算法，最高可将其求解效率提高 1000 多倍。
en-us	The experimental results show that the efficiency of ERACC_IAPS and CERACC_IAPS algorithms is obviously better than that of ERACC algorithm, and the maximum solution efficiency can be improved by more than 1000 times.

zh-cn	量子同态加密对量子态密文直接进行同态评估计算，而不是将密文解密之后再进行计算。
en-us	Quantum homomorphic cryptography directly evaluates the quantum ciphertext, rather than decrypts thequantum ciphertext and then calculates it.

zh-cn	基于相位和状态变换的 d 维通用酉算子，提出了一种 d 维(t，n)门限量子同态加密算法。
en-us	Based on a general d-dimensional unitary operator of phase and state transforma-tion, a d-dimensional (t, n)threshold quantum homomorphic encryption algorithm was proposed.

zh-cn	在该算法中，客户端将量子态密文传送给n 个服务器中的 t 个，这 t 个服务器生成评估子密钥，运行评估算法对量子态密文执行同态计算。
en-us	In this algorithm, the client sent the quantum state ciphertext to t of n servers. Each of the t servers generated the evaluation sub-keys, and then run the e-valuation algorithm on the quantum state ciphertext to complete the calculation of quantum homomorphism.

zh-cn	客户端对解密之后的量子态执行 CNOT 门操作，t + 1 个粒子的聚合值就是评估算法对量子态明文计算之后的结果。
en-us	The client per-formed CNOT gates on the quantum states after decryption, and the aggregate value of t + 1 particles was the result after e-valuation calculation on the quantum state plaintext.

zh-cn	该算法使用 Shamir (t，n)门限机制隐藏了评估密钥，保护了客户端的隐私数据。
en-us	The algorithm uses Shamir's(t, n)threshold scheme to hide the evalua-tion keys, so that it protects the client's private data.

zh-cn	从理论上证明了算法的正确性，各个阶段操作过程的仿真实现进一步验证了算法的正确性。
en-us	The theorems prove the correctness of the algorithm theoretically, and the simulations of each stage of the algorithm further verify its correctness.

zh-cn	随着网络表示学习技术的发展，在网络结构信息的基础上，越来越多的研究者考虑融入额外辅助信息来提升网络表示效果。
en-us	With the development of network representation learning technology, researchers are increasingly consideringthe integration of multi-dimensional attribute information to enhance the performance of network representation.

zh-cn	针对现有网络表示学习方法中对于多属性特征融合缺乏冲突判别与评价指标的问题，本文在已有研究基础上，提出一种基于 D-S 证据理论的网络表示融合方法。
en-us	In view of thelack of conflict discrimination and evaluation index for multi-attribute feature fusion in existing network representation learning methods, this paper proposes a network representation learning fusion method based on D-S evidence theory.

zh-cn	本方法首先通过 SVM 算法给出不同属性信息对融合表示结果的支持度，
en-us	Firstly, the support degree of different attribute information to the fusion result is given by SVM algorithm.

zh-cn	然后利用证据组合规则计算网络表示学习中的融合评价指标，并依据混淆矩阵考虑各类别在节点分类中的局部可信度。
en-us	Then, the fusion evaluation index innetwork representation learning is calculated by using evidence combination rules, and the confidence degree of each attribute isfully considered based on confusion matrix.

zh-cn	在 3 类数据集上的仿真实验表明:本方法对于检测网络表示融合中的冲突，提高表示融合效果具有一定的指导意义。
en-us	Simulation results on three types of data sets show that the method can effectively detect conflicts in network representation fusion and improve the performance of fusion representation.

zh-cn	为优化单相全桥逆变器的效率，提出了一种新型单相全桥软开关逆变器，
en-us	In order to optimize the efficiency of single-phase full-bridge inverter, a single-phase full-bridge soft-switching inverter is proposed.

zh-cn	其输出端设置了 1 组与负载并联的辅助电路。
en-us	The auxiliary circuit is parallel with the load at the output end of the inverter.

zh-cn	在辅助电路处于工作状态时，逆变器桥臂上的主开关能完成零电压软开通和零电流软关断，使该逆变器能通用于中小功率领域和大功率领域。
en-us	When theauxiliary circuit is in working state, the main switches on the bridge arm of the inverter can accomplish zero-voltage turn-on and zero-current turn-off so that the inverter can be generally used in the medium and small power field and high powerfield.

zh-cn	分析了 1 个开关周期内的逆变器工作流程。
en-us	The working process of the inverter in a switching period is analyzed.

zh-cn	在 3kW 样机上的实验结果表明开关器件实现了软切换，样机在额定功率下的效率达到 99.1% 。
en-us	The experimental results on a 3kW prototypeshow that the switching devices achieve soft-switching, and the efficiency of the prototype reaches 99. 1% at the ratedpower.

zh-cn	因此，该拓扑结构对于优化单相全桥逆变器的性能具有重要意义。
en-us	Therefore, this topology is of great significance for optimizing the performance of single-phase full-bridge invert-ers.

zh-cn	在异构 5G 网络中，针对切换算法稳健性差引起的切换准确率低的问题，提出一种基于区间标记判决的稳健垂直切换算法。
en-us	In heterogeneous 5th generation network, a robust vertical handoff algorithm based on interval mark deci-sion is proposed to solve the problem of low handoff accuracy, which is caused by poor robustness of current vertical handoff algorithms.

zh-cn	首先，引入中位值平均滤波法，获取更准确的网络参数。
en-us	Firstly, the median average filter method is employed to obtain more accurate network attribute values.

zh-cn	其次，基于参数波动特征分析，提出区间标记判决算法，保证候选网络筛选通过率和准确率的同时，提高区间标记判决算法的稳健性。
en-us	Secondly, based on parameter fluctuation characteristic analysis, an interval mark decision algorithm is proposed to ensure the pass rateand accuracy of candidate network screening, moreover, the robustness of the handoff process is also effectively improved.

zh-cn	再次，根据移动终端传输层需求，结合终端运动趋势，分别使用不同权值的效用函数获得最佳目标网络。
en-us	Thirdly, according to the transmission layer requirements and motion trend of the mobile terminals, the optimum target net-work is obtained by using utility functions with different weights.

zh-cn	最后，仿真结果表明，该算法能够有效提升切换触发和网络筛选的准确率，降低切换失败率和乒乓效应，提高系统吞吐量，并能够根据移动终端的需求选择最佳目标网络。
en-us	Finally, the simulations show that the proposed algorithmcan effectively improve the accuracy of handoff triggering and network screening while reducing the failed handoff and theping-pong effect. Not only that, the total network throughput is also improved. Meanwhile, it chooses the best target networkaccording to the requirements of mobile terminals.

zh-cn	任务切换实验是评估人类认知灵活性的有效范式，其中提示语切换实验(Task Cuing)能够有效地测量任务切换的认知过程。
en-us	Task switch is an efficient experiment to evaluate human's cognitive flexibility in which task cuing can ef-fectively measure the cognitive process of task switching.

zh-cn	为了深入研究任务切换的认知过程，本文设计了提示语(cue)和之后刺激(Target)比例为1∶ 8的提示语切换实验，采集了 50 名在校大学生的脑电。
en-us	In order to deeply study the cognitive process, we design the taskcuing where the ratio of cue and target is 1∶ 8.

zh-cn	结合事件相关电位和事件相关谱扰动、序间相位相干、事件相关相位互相干等时频分析的方法研究了任务切换认知过程中的神经振荡机制。
en-us	The neural oscillation of task switching was studied by combining event relat-ed potentials (ERP)and time-frequency analysis including event-related spectral perturbation(ERSP), inter-trial phase co-herence(ITPC), event-related phase cross coherence(ERPCOH)in this paper.

zh-cn	实验结果显示，在 P200 时间段里，腹侧前额叶与后顶叶之间神经振荡存在相位同步现象，并且后顶叶电极神经震荡的相角滞后于前额叶电极，这表明 P200 对应的检索过程是由前额叶驱动后顶叶的一种自上而下的控制过程。
en-us	For P200, the experiment result shows that the neural oscillation has phase synchronization between prefrontal cortex and posterior partial cortex and the phase angle ofposterior partial cortex lags behind prefrontal cortex, indicating that the brain completed task rule retrieval and P200 reflectsa top-down process driven by prefrontal cortex.

zh-cn	在 P300 的时间段里，对 theta 波段频谱分布的研究结果显示了切换任务中大脑的激活强度显著大于重复任务中大脑的激活强度，
en-us	For P300, the research results of theta band oscillation distribution show that the brain activation in the cue switch was significantly greater than in the cue repeat.

zh-cn	而且，两种任务中该频段的能量均主要分布在右侧后顶叶，它揭示了任务集配置和更新与 theta 波段神经振荡之间的密切关系。
en-us	Meanwhile, the power of theta band os-cillation was mainly distributed in the posterior partial cortex, which shows that theta band oscillation is related with the reconfiguration and update of task set.

zh-cn	本文以上发现为揭示大脑认知灵活性的神经振荡机制提供了一种新的途径，有助于我们深入了解任务切换的认知加工过程。
en-us	The above findings provide a new way to reveal the neural oscillation mechanism ofbrain cognitive flexibility, which helps us to understand the cognitive process of task switching.

zh-cn	语言资源加工和语言学研究，对大规模树库的结构化检索有很高需求。
en-us	Language resource processing and linguistics research require effective retrieval on syntax tree corpus.

zh-cn	本文针对句法树语料设计了索引、检索方法。
en-us	This paper presented an index and search method for syntax tree corpus, which is efficient, accurate, and flexible.

zh-cn	针对汉语的特点以及知识抽取任务的需求，我们设计了七种索引结构，旨在借助句法树的结构、属性信息，进行高效、准确的知识抽取。
en-us	Based on the features of Chinese language and the needs for knowledge extraction, we designed seven types of indexes, aiming that with the help of structure and attribute information, knowledge extraction will be performed more effectively and accurately.

zh-cn	本方法不仅支持字符串检索、属性检索，也支持基于句法树结构、属性信息的检索。
en-us	Apart from general retrieval functions, our method supports retrieval based on the structure and attribute information of syntaxtrees.

zh-cn	实验证明，本方法高效、准确。
en-us	Experiments show that our method is both accurate and efficient.

zh-cn	量子元胞自动机(Quantum-dot Cellular Automata，QCA)是一种具有新型计算范式的纳米器件，它是未来有望替代传统 CMOS 器件的有力竞争者之一。
en-us	Quantum-dot cellular automata (QCA)is a kind of nano-devices with special computing paradigm, which is one of powerful competitors to replace traditional CMOS devices in the future.

zh-cn	本文首先从 QCA 器件的功耗角度出发，对影响半径为 41nm 的 QCA 共面系统中元胞的耦合度进行建模，
en-us	Based on the power consumption model inQCA technology, the coupling strength between cells in coplanar systems is modeled for radius of 41nm.

zh-cn	根据元胞之间的位置关系构造 QCA 门结构模型，据此对现有的共面五输入择多门进行分类，通过性能分析总结其结构特点，以此设计出一个新的低功耗五输入择多门，
en-us	The QCA gatestructure model is then constructed according to the locations of cells to classify existing coplanar five-input majority gates. By characterizing their performances, a new low-power five-input majority gate is proposed.

zh-cn	测试结果表明该结构功耗最低且其他性能也相对较优。
en-us	Simulation results demonstratethat the proposed gate has lowest power consumption and performs better than other gates.

zh-cn	另外，为验证所提出五输入择多门在电路中的性能，本文选择 MR Azghadi 全加器设计了一款共面 QCA 全加器，与同类加法器相比性能也最优。
en-us	To verify its properties in practi-cal applications, a new coplanar QCA full adder is designed by means of MR Azghadi full adder, which has the best perform-ance among similar adders.

zh-cn	针对弹性光网络的多链路故障影响虚拟光网络映射性能问题，提出一种链路可靠性感知的差异保护虚拟光网络映射(RA-DPVONE)方法。
en-us	Aiming at the problem that multi-link faults in elastic optical networks affect the performance of virtual op-tical network mapping, a method of link Reliability-Aware Protection-differentiated Virtual Optical Network Embedding(RA-PVONE)is proposed in the paper.

zh-cn	根据光节点的资源特性与相邻链路故障概率，该方法设计了光节点重要性评估准则和优先映射方法。
en-us	In the RA-PVONE, an importance evaluation criteria and priority mapping method of optical nodes are designed.

zh-cn	根据候选光路上的可用频谱资源和链路故障概率，设计虚拟链路映射的工作光路和保护光路的链路代价更新公式，仅为不满足可靠性需求的虚拟链路映射资源共享保护光路。
en-us	According to the available spectrum resources and link failure probability of candidate opticalpaths, the link cost updating formulas for working and protecting optical paths are designed to map the virtual link. Protection optical paths sharing spectrum resource is only configured for working optical path that do not meet the virtual link's relia-bility requirements.

zh-cn	仿真结果表明，所提方法能降低网络的带宽阻塞率，提高虚拟网络请求接受率和弹性光网络的频谱资源利用率。
en-us	The simulation results show that the proposed method can reduce the network bandwidth blocking proba-bility, improve virtual network acceptance ratio and the spectrum resource utilization.

zh-cn	针对无人驾驶汽车快速准确识别交警指挥手势的需求，本文在分析交警指挥手势的关节铰接特征基础上，建立基于关节点和骨架的交警指挥手势模型;
en-us	According to the need for driver assistance systems and intelligent vehicles to quickly and accurately identi-fy traffic police command gestures, the articulated features of traffic police gesture is firstly analyzed, and a model based onthe key points and skeletons of the police gesture is established.

zh-cn	其次，引入卷积姿势机(Convolutional Pose Machine，CPM)提取交警指挥手势的关键节点，
en-us	Secondly, the convolutional posture machine (CPM)is in-troduced to extract the key points of the traffic police gesture.

zh-cn	进而提取交警指挥手势中骨架的相对长度及其与重力加速度的夹角作为空间上下文特征，
en-us	Then the relative lengths of the gesture skeletons and the an-gles between each skeleton w. r. t. gravity are extracted as the spatial context features of the traffic police gesture.

zh-cn	并引入长短时记忆网络(Long Short Term Memory，LSTM)提取交警指挥手势的时序特征;
en-us	Mean-while, long-term memory (LSTM)is introduced to extract the temporal features of traffic police gestures.

zh-cn	最后，设计了融合空间上下文和时序特征的交警指挥手势识别机(Chinese Traffic Police Gesture Recognizer，CTPGR)，创建了包含 8 种交警指挥手势、时长约 2 小时的交警指挥手势视频库对 CTPGR 进行训练验证，并通过实验将 CTPGR 与已有交警手势识别算法进行了对比分析。
en-us	Finally, the Chi-nese traffic police gesture recognizer (CTPGR)based on CPM and LSTM is designed, and a two-hour traffic police gesturevideo is recorded to train and verify the CTPGR.

zh-cn	实验证明 CTPGR 可以快速准确地识别交警指挥手势，系统对复杂背景和动态交警指挥手势具有较强的适应能力。
en-us	Experimental results show that the CTPGR is capable of recognizing traffic police gestures with high accuracy, and is fast enough for online gesture prediction.

zh-cn	电子喉语音存在基频单一、发声机械、辐射噪声大等多种缺陷，这严重影响了电子喉语音可懂度和自然度，特别是对汉语普通话之类的声调语言，问题尤其严重。
en-us	The Electro-Laryngeal (EL)speech has some drawbacks such as single fundamental frequency, mechani-cal sound and large radiation noise. The drawbacks affect the intelligibility and naturalness of the EL speech.

zh-cn	汉语普通话电子喉语音识别存在辅音混淆的问题并且识别结果没有声调，
en-us	Especially, the tonal language such as Mandarin EL speech would be worse understanding.

zh-cn	因此本文在识别结果的基础之上设计了拼音拼写修正器和声调标注工具，再结合基于 Tacotron-2 的TTS 实现了电子喉语音向正常语音的转换。
en-us	In this paper, the spelling corrector for pinyin and the tone labelling tool are designed to solve the problems that Mandarin EL speech recognition has some errors in consonantsand the recognition result has no tone. The result is synthesized into the healthy speech by TTS based on Tacotron-2.

zh-cn	客观评价实验结果表明，拼音拼写修正器可以提高拼音准确率，声调标注在有上下文的语义环境中具有较高准确率。
en-us	The ob-jective evaluation results show that the accuracy of pinyin spelling corrector has been improved;the accuracy of tone label-ling under contextual environment is very high.

zh-cn	主观听力测试结果表明，本文所提方法在不同语言水平上提高了汉语普通话电子喉语音的可懂度和自然度。
en-us	The subjective results shows the proposed method can improve the intelligi-bility and naturalness of the EL speech a lot.

zh-cn	研究结果表明，本文设计的方法可以将不带声调的电子喉语音转换为正常语音，相比于传统语音转换方法具有更高的性能。
en-us	The results illustrate that the proposed method can convert the EL speech with-out tone into the healthy speech. And the proposed method performs better than the traditional method based on speech signalprocessing.

zh-cn	针对分布复杂且离群类型多样的数据集进行离群检测困难的问题，提出基于相对距离的反 k 近邻树离群检测方法 RKNMOD(Reversed K-Nearest Neighborhood)。
en-us	For outlier detection difficulty of data sets with complex distribution and various types of outliers, a newoutlier detection method based on reversed k-nearest neighborhood MST of relative distance measure is proposed.

zh-cn	首先，将经典欧氏距离、对象局部密度和对象邻域结合，定义了对象的相对距离，能同时有效检出全局和局部离群点。
en-us	Firstly, rel-ative distance of object is defined with the combination of classical distance, local density and neighborhood of object, whichcan be used to detect global outliers and local outliers both.

zh-cn	其次，以最小生成树结构为基础，采取最大边切割法以快速分割离群点和离群簇。
en-us	Secondly, on basis of minimum spanning tree structure, by tactics of maximum-edge-cutting, outliers and outlier clusters can be obtained.

zh-cn	最后，人工合成数据集和 UCI 数据集试验均表明，新算法的检测准确率更高，为分布异常且离群类型多样的数据集的离群检测提供了一条有效的新途径。
en-us	Finally, experiments of synthetic and UCI data setsshow that the new algorithm is much more correct and effective. It is a new effective way for detecting outliers of data sets with abnormal distribution and diversity outlier types.

zh-cn	基于邻域广义模糊聚类算法能够分割含噪声灰度图像，但是如果图像灰度分布不均衡或者起始的聚类中心设置不合适仍会导致该算法分割失败，
en-us	The spatial generalized fuzzy c-means clustering algorithm (GFCM _S)is a popular technique for image segmentation, but it is not so effective when the image has the features of unequal cluster sizes or the initial cluster centerswe choose are improper.

zh-cn	为此，提出一种基于混沌优化和改进模糊聚类算法相融合的图像分割算法。
en-us	In this paper, for solving the above shortcomings of GFCM_S, a novel algorithm incorporating cha-os optimization and improved fuzzy c-means (CIGFCM_S)is proposed.

zh-cn	首先，将每一类的隶属度之和引入基于邻域广义模糊聚类算法的目标函数中，从而能够均衡较大类和较小类对目标函数的贡献。
en-us	Firstly, each size of clusters is integrated into the objective function of GFCM_S so as to equalize the contribution of larger and smaller clusters to the objective function.

zh-cn	其次，以新目标函数为基础，利用拉格朗日乘子法推导出相应的隶属度和聚类中心。
en-us	Sec-ondly, the iteratively membership degree and cluster centers are deduced by the Lagrange multiplier method.

zh-cn	再次，将混沌优化和改进模糊聚类算法联合得到最优解，即最合适的聚类中心，
en-us	Thirdly, a new iterative strategy is used to seek the optimal solutions.

zh-cn	细节上，每一代的聚类中心分别由混沌系统和改进模糊聚类算法两种路径产生，具有较小目标函数的聚类中心进入下一个迭代进程。
en-us	In detail, the optimal solutions of next generation are searched by two-paths, one path originates chaos optimization and the other is obtained by updating membership degree and cluster centers on the basis of current optimal solutions, and then the better solutions go to next generation until the end.

zh-cn	最后，利用具有不平衡特性的无损检测图像进行实验，结果表明本文算法具有更高的分割准确率和更好的视觉效果。
en-us	Lastly, the non-de-structive testing (NDT)images with the characters of unequal cluster sizes are used for experiments, the results show that the proposed algorithm has better segmentation accuracy and visual effects.

zh-cn	块效应和未知且时变的噪声强度会降低时域流信号动态稀疏重构的性能，
en-us	Performance of dynamic sparse recovery for streaming signals in time domain will degrade for the exist-ence of blocking artifacts and unknown time-varying noise intensity.

zh-cn	为解决该问题，本文基于重叠正交变换和稀疏贝叶斯学习框架，提出一种对时域流信号进行动态压缩感知的鲁棒稀疏贝叶斯学习重构算法。
en-us	To solve the above problems, a robust sparse Bayesian learning algorithm for dynamic compressive sensing of streaming signals in time domain is proposed based on the framework of lapped orthogonal transform and sparse Bayesian learning.

zh-cn	该算法在消除块效应的同时，能够处理噪声强度未知且时变情形下的动态稀疏重构问题，相比现有的流信号稀疏贝叶斯学习算法具有更强的抗噪鲁棒性。
en-us	In addition to eliminating the blocking artifacts, the proposed algorithm handles dynamic sparse Bayesian learning problems effectively under conditions of unknown time-varying noise intensity, which has better robustness against existing sparse Bayesian learning algorithms for streaming signals.

zh-cn	尽管现有的时域流信号压缩感知的有效算法并不多，但实验表明，本文算法的重构信误比和重构成功率均明显高于现有的基于稀疏贝叶斯学习的流信号重构算法和基于 L1-同伦的流信号重构算法，
en-us	Though there are not many existing effective algorithms for compressed sensing of streaming signals, experiments show that the proposed algorithm has obviously larger reconstruction signal-to-noise ratio and higher success rates for reconstruction than existing re-covery algorithms for streaming signals based on sparse Bayesian learning or L1-homotopy;

zh-cn	且达到相同的重构成功率所需的观测数目少于另两种算法，计算量和运行效率则与稀疏贝叶斯学习算法相近。
en-us	also, the measurement number required for particular success rates is obviously less than that of the other two algorithms, the computation cost and running time is approximately the same with the existing sparse Bayesian learning algorithm.

zh-cn	大量研究表明，microRNA(miRNA)在人类复杂疾病研究中发挥着重要作用。识别 miRNA 与疾病之间的关系对于提高复杂疾病的治疗水平具有重要意义。
en-us	Numerous studies have shown that microRNA (miRNA)plays important role in the study of human com-plex diseases. Identifying the association between miRNAs and diseases is important for improving the therapeutic level ofcomplex diseases.

zh-cn	然而，传统实验方式常受限于小规模和高成本，因此迫切需要计算模拟的方式快速有效地预测 miRNA-疾病间的潜在关系。
en-us	However, traditional experimental is often limited to small-scale and high-cost, so computational simula-tion is urgently needed to quickly and effectively predict the potential miRNAs-disease associations.

zh-cn	本文通过结合深度学习的堆叠自动编码器算法与旋转森林分类器对 miRNA-疾病间关系进行预测。
en-us	In this study, a new method is proposed to predict the miRNA-disease association by combining deep learning stacked automatic encoder algo-rithm with rotation forest classifier.

zh-cn	该方法能够有效抽取出融合了疾病语义相似性、miRNA 功能相似性和 miRNA序列信息的高级特征并对其进行准确分类。
en-us	This method can effectively extract high-level features that combine disease semanticsimilarity, miNRA functional similarity and miRNA sequence information, and accurately classify them.

zh-cn	在交叉验证实验中，该方法在 HMDD v3.0 数据集上取得 90.30% 的预测准确率。
en-us	In the cross-valida-tion experiment, this method achieved 90. 30% prediction accuracy on the HMDD v3. 0 dataset.

zh-cn	此外，我们还在人类复杂疾病乳腺肿瘤上做了案例研究。
en-us	Furthermore, we have alsodone case studies on Breast Neoplasms.

zh-cn	结果，模型预测得分最高的前 30 个疾病关联 miRNA 中28 个得到了证实。
en-us	As a result, 28 of the top 30 miRNA-disease associations were confirmed.

zh-cn	这些优异的结果表明，该算法是一种有效预测 miRNA-疾病关系的工具，能够为生物实验提供高可靠的疾病关联 miRNA 候选物。
en-us	These ex-cellent results indicate that this method is an effective tool for predicting miRNA-disease associations, and can provide highly reliable candidate miRNAs for biological experiments.

zh-cn	为实现对微型断路器误动作的弥补，本文设计了一种与微型断路器配套使用的电动操作系统。
en-us	An electric operation system matched with the miniature circuit breaker is designed in order to compensate for the mis-operation of miniature circuit breaker.

zh-cn	该设计属于机电一体化产品，测试标准对标欧盟家用电器、电动工具或类似器具的电磁兼容标准 EN55014。
en-us	The breaker is a kind of mechatronic products and European Union EMCstandard EN55014 is required.

zh-cn	本文重点关注其中 4 类指标:发射干扰 EMI(Electron-Magnetic Interference)，抗干扰性 EMS(Electron-Magnetic Susceptibility)，谐波干扰Harmonic，电压扰动 Flicker。
en-us	For the design in the paper, four characteristics are mostly concerned:EMI, EMS, Harmonicand Flicker.

zh-cn	通过设计高集成、谐波强衰减、高抗浪涌能力的低通滤波器，
en-us	The strategies in the design include three aspects.

zh-cn	采用准谐振软开关技术及分时变频的控制策略，优化的 PCB(Printed Circuit Board)布局布线，
en-us	The first one is using the low-pass filter with high integration, strong harmonic attenuation and high surge resistance. The second one is the quasi resonant soft switch technology and time-sharing frequency conversion control strategy.

zh-cn	实现对电磁兼容性的优化，并在第三方检测机构测试通过，获得 CE 认证。
en-us	The third one is optimizing the PCB layout and the wiring. Finally, the de-signed breaker reaches the critical standards and obtains the qualified CE certification.

zh-cn	响应性和稳定性一直是流式计算中两个至关重要的问题，
en-us	Responsiveness and stability have always been two important problems in stream computing.

zh-cn	而流计算系统在过载时常常表现出数据计算延迟增加和拓扑不稳定的现象，无法适应数据负载的动态变化。
en-us	However, asthe scale of data being processed in real-time has increased, along with an increase in the data processing latency and topolo-gy instability of stream computing, many limitations of stream processing system have become apparent.

zh-cn	针对这一问题本文研究提出了一种基于动态拓扑的流计算性能优化方法，主要包括:(1)动态逐级反压:拓扑中的任务可以根据当前自身负载情况，动态调整上游向其发送数据的速率。
en-us	Aiming at theseproblems, we present a performance optimization method based on dynamic topology for stream computing:(1)Dynamicstep-by-step backpressure:the task in the topology can dynamically adjust the rate of upstream data transmission according to the current load.

zh-cn	(2)无状态拓扑数据重放:拓扑不维持数据的计算状态，尽可能地实现数据容错。
en-us	(2)Stateless topology data replay: topology can achieve data fault tolerance autonomously without maintai-ning the calculation of data state.

zh-cn	(3)自适应拓扑替换:在拓扑不暂停的情况下对任务并发度进行自发调整。
en-us	(3)Adaptive topology replacement: no need for topology to suspend, the system can adjustthe task concurrency spontaneously.

zh-cn	(4)延迟持久化队列:拓扑中对磁盘的 IO 读写被延迟到数据处理之外，减缓 IO 高频阻塞对流计算系统的影响。
en-us	(4)Delayed persistent queue:it delays the IO reading and writing in the disk out of thedata processing, which mitigates the impact of IO high-frequency blocking in stream computing system.

zh-cn	本文在 Apache Storm 中实现了以上四种方案，
en-us	In this paper, thefour methods are implemented in Apache Storm.

zh-cn	性能测试结果表明优化后的流计算系统与 Storm 默认实现相比，不仅增强了大数据动态匹配能力，而且在最优情况下改善了 17% 的吞吐量，并提升了约 20% 的数据处理速度。
en-us	The experimental results show that the optimized system not only enhancesthe dynamic matching capability of big data, but also achieves 17% higher throughput and 20% better data processing speedin the best case.

zh-cn	率失真优化技术能有效地提升编码器的压缩性能，是视频编码领域重要的研究内容。
en-us	Rate-distortion optimization (RDO)can effectively improve the compression performance for encoders, which is an important topic in video coding.

zh-cn	本文综合论述了基于拉格朗日乘子的率失真优化方法，从独立率失真优化、依赖率失真优化和码率控制中的比特分配等几方面归纳和分析最新研究进展。
en-us	In this paper, the Lagrange multiplier based RDO method is reviewed compre-hensively from several aspects including independent RDO, dependent RDO, bit allocation for rate control, etc.

zh-cn	首先，通过形象的举例解释了约束优化问题通过拉格朗日乘子法转换为非约束优化问题，并根据相关文献分析拉格朗日乘子与量化参数的关系。
en-us	First, an ex-ample is employed to explain how the constrained optimization problem is converted into an unconstrained optimization problem based on the Lagrange multiplier method, and the relationship between Lagrange multiplier and quantization parame-ter is analyzed according to relevant references.

zh-cn	其次，分析了编码过程中存在的率失真依赖性，并分类讨论近年提出的依赖率失真优化方法。
en-us	Second, the rate-distortion dependencies in the process of video coding areanalyzed, and the dependent RDO methods presented in recent years are classified and discussed.

zh-cn	然后，简要介绍了率失真依赖关系在码率控制比特分配中的影响。
en-us	Third, the effect of the rate-distortion dependencies on bit allocation for rate control is discussed.

zh-cn	最后通过分析比较不同率失真优化技术的特征和性能，提出当前面临的挑战和值得进一步探索的工作。
en-us	Finally, the features and performance of different RDO methods are tabulated for analysis and comparison, and the existing challenges and the research works deserving further ex-ploration are presented.

zh-cn	文章分析了暗室测试中有限测试距离对 GNSS 抗干扰天线阵测量结果的影响。
en-us	This paper analyzes the limited distance induced effects of measurement performance for GNSS anti-jam-ming arrays.

zh-cn	在固定波束情况下，远场测试条件遵循经典结论，即在待测天线与探头天线距离大于 2D2/λ(D 为待测天线有效孔径)时，有限测试距离对方向图主瓣影响很小，但会掩盖方向图波瓣零点;
en-us	In the case of fixed beam array, according to the conventional far field condition, when the distance between the antenna under test and the probe antenna is longer than 2D2/λ (D is the size of antenna aperture), the limited test distancehas little effects of the main beam, however, the first null of the pattern is partially filled.

zh-cn	在自适应处理情况下，由于自适应权会自动补偿干扰导向矢量误差，所以有限距离误差并不会对零点的位置和深度造成影响，对方向图除零点之外部分的增益造成一定偏差，
en-us	In the case of adaptive array, the nulls are kept for the limited distance induced steering vectors of interferences will be compensated by adaptive weights. The gain except for the nulls has some changes,

zh-cn	但是这些增益偏差不会对抗干扰天线阵的平均阵列增益覆盖率造成显著影响。
en-us	but the bias has no remarkable effects of average angular coverage for array gain.

zh-cn	所以，在满足经典远场条件的暗室内进行抗干扰测试，接收机的干扰抑制能力和可用性能均不会受到影响。
en-us	We claim that the capability of anti-jamming and the usability of the receiver will be kept, when the test distance meet the condition of minimized far field distance.

zh-cn	增量式属性约简是一种针对动态环境下的数据挖掘方法。
en-us	Incremental attribute reduction is a data mining method for dynamic environment.

zh-cn	目前已经提出的增量式属性约简算法仅适用于符号型的信息系统，
en-us	The incremental attribute reduction algorithm already proposed is only applicable to symbolic information systems.

zh-cn	而很少有对混合信息系统进行相关的研究，这促使在混合信息系统下构建相关的增量式属性约简算法。
en-us	However, there are few related studies on mixed information systems, which promotes the construction of the related incremental attribute reduction algo-rithm under the mixed information system.

zh-cn	区分度是用于设计属性约简的一种重要方法，
en-us	The discernibility degree is an important method used for designing attribute re-duction.

zh-cn	本文将传统的区分度在混合信息系统下进行推广，提出邻域区分度的概念，
en-us	In this paper, the traditional discernibility degree is generalized under the mixed information system, and the concept of neighborhood discernibility degree is presented.

zh-cn	然后分别研究了邻域区分度在混合信息系统下对象增加和对象减少时的增量式学习，
en-us	Then, the incremental learning of neighborhood discernibility degree isstudied respectively when objects increase or objects decrease under the mixed information system.

zh-cn	最后根据这种增量式学习分别提出了对应的增量式属性约简算法。
en-us	Finally, according to this incremental learning, the corresponding incremental attribute reduction algorithms are proposed, respectively.

zh-cn	UCI 数据集上的相关实验结果表明，所提出的增量式属性约简比非增量式属性约简能够更快速的更新约简结果。基于深度学习的高光谱遥感图像地物分类是目前研究的热点。
en-us	The related ex-perimental results on the UCI data set show that the proposed incremental attribute reduction can update the reduction resultsmore quickly than the non incremental attribute reduction.

zh-cn	但由于其参数规模大以及结构复杂，深度网络通常需要大量训练样本和较长训练时间，如何在小规模样本下建立深度学习监督分类模型是需要解决的关键问题。
en-us	Due to the massive parameters and complex structure, deep learning networks are usually trained in a longtime with large-scale training samples.

zh-cn	本文提出了一种小规模样本下高光谱图像分类的空-谱卷积稠密网络算法，称为 SSCDenseNet，其包含三种新颖的架构策略:
en-us	In this paper, we propose a spatial-spectral convolutional dense network (SSC-DenseNet)which mainly targets limited samples for hyperspectral image classification. Three novel strategies are proposed to construct the proposed network.

zh-cn	(1)空-谱分离卷积，即采取光谱维一维卷积和空间维二维卷积的分离卷积结构构成隐层单元，并通过多个隐层单元堆叠构造深度网络;
en-us	First, a spatial-spectral separable convolution method is adopted to make up a hidden layer unit with a spectral one-dimensional convolutional layer and a spatial two-dimensional convolutional layer;then the deep net-work is constructed by stacking multiple units.

zh-cn	(2)隐层单元中使用批归一化，减少数据协方差漂移及加速网络训练;
en-us	Second, we use batch normalization before each hidden layer unit to reduce covariance drift of data and accelerate the network training procedure.

zh-cn	(3)隐层单元间构建稠密连接，缓解梯度消失问题并实现特征复用。
en-us	Finally, a direct connection between every two units isadopted to reuse hierarchical features, and solve the problem of gradient vanishing.

zh-cn	通过 Indian Pines、Pavia University 与 Salinas 数据集进行综合测评，表明该方法优于若干最新深度学习方法，特别在小规模样本下具有优异的分类性能。
en-us	The comprehensive evaluation of experi-ments on different datasets such as Indian Pines, Pavia University and Salinas are conducted to show the performance of the SSCDenseNet, and the results show that the proposed method outperforms several state-of-the-art deep learning based meth-ods in terms of classification performance, especially under small-scale samples.

zh-cn	为了辅助医生规划非小细胞肺癌(Non-Small Cell Lung Cancer，NSCLC)患者治疗和复查方案，提出了一种基于 CT 影像组学的 NSCLC 预后分析方法。
en-us	In order to assist doctors in planning treatment and review programs for non-small cell lung cancer(NSCLC)patients, a prognostic survival analysis method based on CT radiomics was proposed.

zh-cn	首先，对患者肺部 CT 影像中的肿瘤区域进行分割;
en-us	First, we segmented the tumorareas in the lung CT images.

zh-cn	然后，对肿瘤区域进行影像组学特征提取、优化;
en-us	Then, we extracted and optimized the radiomics features.

zh-cn	最后，将优化后的特征数据与患者的预后生存情况作为输入，利用机器学习的方法构建预后分析模型，预测患者的预后生存时间范围。
en-us	Finally, the optimized features and the patients'prognosis survival were taken as input, and the prognostic analysis model was constructed by using machine learning method to predict the prognosis survival time range of the patients.

zh-cn	选用 124 例 NSCLC 患者数据进行实验，以具有临床意义的 3 年生存期为预测界限，对患者预后生存时间范围进行预测。
en-us	The data of 124 NSCLC patients were selected and the clin-ical significance of 3-year survival was used as the predictive limit to predict the prognosis survival time range.

zh-cn	实验结果表明，预后分析模型的预测准确率达到 91.9% ，可以有效地辅助医生对非小细胞肺癌患者的预后情况进行更加精准的评估，制定出更具个性化的治疗与复查方案。
en-us	The experimen-tal results showed the prediction accuracy of the model reached 91. 9% , which could effectively assist doctors to carry out moreaccurate assessment and develop more personalized treatment and review programs for NSCLC patients.

zh-cn	在无线片上网络中，无线通信拥塞和故障对整个片上网络的通信效率具有严重影响。
en-us	In wireless networks-on-chip, wireless communication congestion and fault have a severe impact on thecommunication efficiency of the entire network-on-chip.

zh-cn	为此本文提出了一种针对无线通信拥塞和故障的容错路由算法，
en-us	Therefore, this paper proposes a fault-tolerant routing algorithm forwireless communication congestion and faults.

zh-cn	首先设计了无线通信拥塞和故障感知模型，该模型能够感知无线节点通信对的拥塞和故障信息，并对其编码发送给子网中的路由器;
en-us	Firstly, a wireless communication congestion and fault aware model is de-signed. The model can get the congestion and fault information of the wireless node communication pair, encode it and sendit to the routers in subnet.

zh-cn	然后子网中的路由器根据接收到的无线节点通信对状态信息，判断数据包是否使用无线传输。
en-us	Then the router in the subnet determines whether the data packet uses wireless transmission ac-cording to the received wireless node communication pair status information.

zh-cn	实验表明，本文方案相较于对比对象能够在较小的额外面积、功耗开销下，保证较低的网络延迟和较高的网络吞吐率，并对无线节点通信对的永久性故障具有良好的容错能力。
en-us	Experiments show that the proposed scheme can guarantee lower network delay and higher network throughput under smaller additional area overhead and power consumptionthan the comparison schemes, and exhibit good performance to tolerant permanent faults of wireless node communicationpairs.

zh-cn	提出一种基于多流架构与长短时记忆网络的上下文建模框架，旨在克服组群行为识别的两个难点，
en-us	This paper proposes a context modeling framework based on multi-stream architecture and LSTM, which aimsto overcome two difficulties for group behavior recognition.

zh-cn	其一对复杂场景中多视觉线索进行信息融合;
en-us	One is to fuse information from multiple visual cues in complexscenes,

zh-cn	其二对情景人物进行建模，以获得长视频上下文关系。
en-us	the other is to model situational characters to get the long-term temporal context in the video.

zh-cn	并且，对基于全局信息和基于局部信息的识别结果进行决策融合，判定最终组群行为属性。
en-us	In addition, decision fusion isperformed on the behavior recognition results based on global information and local information to determine the final group be-havior attributes.

zh-cn	该算法在 CAD1 和 CAD2 上分别取得 93.2% 和95.7% 平均识别率。
en-us	The algorithm achieved 93. 2% and 95. 7% average recognition rates on CAD1 and CAD2 respectively.

zh-cn	针对多目标跟踪中的传感器控制问题，本文基于有限集统计(FISST)理论，利用高斯混合多伯努利滤波器研究并提出相应的传感器控制策略。
en-us	In consideration of the sensor control for multi-target tracking, this paper proposes the corresponding sensor control strategy using Gaussian mixture multi-Bernoulli filter based on the FInite Set Statistics (FISST)theory.

zh-cn	首先，文中给出容积卡尔曼高斯混合势均衡多目标多伯努利滤波器(CK-GM-CBMeMBerF)的实现形式，并提取高斯混合分量近似多伯努利密度。
en-us	First, This paper gives the implementation of the Cubature Kalman Gaussian Mixture Cardinality Balanced Multi-target Multi-BernoulliFilter (CK-GMCBMeMBerF), and extracts the Gaussian mixture component to approximate multi-Bernoulli density.

zh-cn	然后，研究两个高斯混合之间的柯西施瓦兹(Cauchy-Schwarz)散度的求取，推导多目标概率密度变化所对应的信息增益，并以此为基础提出相应的传感器控制策略。
en-us	In ad-dition, we study the solution of the Cauchy-Schwarz divergence between the two Gaussian mixture distributions, and derive the information gain corresponding to the change of multi-target probability density. Then, the corresponding sensor controlstrategy is proposed.

zh-cn	此外，结合 CK-GMCBMeMBer，详细推导了目标势的后验期望(PENT)准则的高斯混合(GM)实现过程，以 GM-PENT 作为评价准则进行相应的传感器控制方法的研究。
en-us	Moreover, a detailed Gaussian Mixture (GM)implementation of the posterior expected number of tar-gets (PENT)criteria is given based on CK-GMCBMeMBerF, and the corresponding sensor control strategy is studied withGM-PENT as the evaluation criteria.

zh-cn	最后，仿真实验验证了所提算法的有效性。
en-us	Finally, simulation results verify the effectiveness of these proposed algorithms.

zh-cn	为了提高传感网中数据重构精度以及降低不可靠链路丢包对压缩感知(Compressive Sensing，CS)数据收集的影响，本文提出了一种基于压缩感知丢包匹配数据收集算法(Packet Loss Matching Data Gathering AlgorithmBased on Compressive Sensing，CS-MDGA)。
en-us	In order to improve the data reconstruction accuracy and alleviate the influence of packet loss over unrelia-ble links on the Compressive Sensing (CS)data gathering in sensor networks, we propose a Packet Loss Matching DataGathering Algorithm Based on Compressive Sensing (CS-MDGA)in this paper.

zh-cn	本文算法通过压缩感知技术构建了全网数据间的“关联效应”，
en-us	This proposed algorithm establishes the correlation effect of the network data with the CS technique.

zh-cn	并设计了基于丢包匹配的稀疏观测矩阵(Sparse Observation Matrix Based on Packet Loss Matching，SPLM)，证明了该观测矩阵概率趋近于“1”时，满足的等距约束条件(Restricted Isometry Property，RIP)，完成了节点间多路径路由数据的可靠交付。
en-us	We further design the Sparse Observation Matrix based onPacket Loss Matching (SPLM )in this paper. In addition, we prove that the designed observation matrix satisfies the Re-stricted Isometry Property (RIP)with a probability arbitrarily close to 1, which can guarantee the reliable delivery of themulti-path routing data among different nodes.

zh-cn	仿真实验结果表明，本文算法在链路丢包率为 60% 情况下，相对重构误差仍小于 5% ，
en-us	The simulation results show that the relative reconstruction error of this pro-posed algorithm is still lower than 5% even when the packet loss rate of the link is as high as 60% .

zh-cn	验证了本文算法不仅具有较高的重构精度，而且还可以有效缓解不可靠链路丢包对 CS 数据收集的影响。
en-us	Therefore, it is verifiedthat this proposed algorithm not only exhibits high reconstruction accuracy, but also effectively alleviates the influence ofpacket losses over unreliable links on the CS-based data collection.

zh-cn	提出了一种基于多元经验模态分解(Multivariate Empirical Mode Decomposition，MEMD)的多元多尺度熵(Multivarite Multiscale Entropy，MMSE)特征提取方法分析多模态信号，进行人体静态平衡能力评估。
en-us	A MMSE feature extraction method based on MEMD was proposed to analyze multi-modal signals and e-valuate the static balance ability of human body.

zh-cn	首先，采集人体多模态信号，采用多元经验模态分解对多通道信号进行自适应分解，得到一系列多元固有模态函数(Intrinsic ModeFunctions，IMFs)，依据 T 检验和相关系数从中选取最佳的 IMF 分量进行信号重构;
en-us	First, the human multi-mode signal was collected. It was adaptively decom-posed by multi-empirical mode from which a series of (IMFs)were obtained. The best IMF components were selected ac-cording to the T-test and correlation coefficients which was used for signal reconstruction.

zh-cn	然后，采用多元多尺度熵算法提取特征，用 K-均值与支持向量机对比本文特征提取方法与两种传统特征提取方法在处理人体静态平衡能力评估问题时分类效果，并分析两种分类器的人体静态平衡能力评估效果;
en-us	The multivariate multi-scale entro-py algorithm was used to extract the features. Finally, K-means and support vector machine were used to compare with This paper's methods about dealing with human body static balance problem, which was used to evaluate the optimal feature ex-traction method.

zh-cn	最后，得出本文最优的特征为基于多元经验模态分解的多元多尺度熵特征，最优的分类方法为支持向量机。
en-us	Results shows that MMSE based on MEMD and support vector machine are optimal for feature extractionand classification in this paper.

zh-cn	三维目标的形状变化给目标识别带来很大挑战，同时三维网格模型的不规则数据结构难以直接应用卷积运算提取三维目标特征。
en-us	3D object recognition with shape changes is a challenging task. The irregular data structure of the mesh model prevents the operation of the conventional convolution, which brings difficulties to feature extraction of the 3D non-rigid objects.

zh-cn	对此，本文提出了一种高效的三维形变目标的网格卷积特征表示方法，准确提取形状信息并进行分类。
en-us	In this paper, we propose a method of mesh convolution for 3D non-rigid objects to extract shape features and use them for classification.

zh-cn	首先通过网格卷积运算获得形变目标中典型局部曲面形状分布，
en-us	Firstly, we obtain the distribution of typical patch shapes by the mesh convolution.

zh-cn	其次通过马尔科夫链对曲面形状的空间共现关系建模，从而形成三维模型的全局特征描述，
en-us	Then, we mod-el the spatial co-occurrence relationship by Markov chains to complete the global feature description.

zh-cn	最后采用支持向量机实现形变目标分类。
en-us	Finally, we use the sup-port vector machine to classify the 3D objects.

zh-cn	该方法将连续多项式函数作为卷积模板，实现针对不规则数据结构的网格卷积运算，并且给出了卷积模板参数的无监督学习方法。
en-us	Our method adopts the continuous polynomial function as the convolution ker-nel for the irregular data structure, and learn the kernel by an unsupervised learning method.

zh-cn	在标准非刚性三维模型数据集 SHREC10 与 SHREC15 上的实验结果表明本文方法能有效提取三维网格模型的形状信息，分类准确率分别达到了 92.88% 与 96.54% 。
en-us	Experimental results on the standard non-rigid 3D model datasets show our method can effectively extract the features and achieve classification accuracyof 92. 88% on SHREC10 and 96. 54% on SHREC15, respectively.

zh-cn	为对 CUDA 并行程序内核性能进行分析和预测，从而指导并行程序设计及性能优化，提出一种性能预测框架。
en-us	In order to analyze and predict the performance of CUDA program kernel and guide parallel program de-sign and performance optimization, a performance prediction framework is proposed.

zh-cn	1)从 GPU 编程模型和设备架构细节入手，以线程束为研究单位，
en-us	This paper starts with the GPU pro-gramming model and hardware architecture details, with warp as the research unit.

zh-cn	通过整合与 GPU 程序用时密切相关的软硬件基本特征，定义了并行空间闲置度、流处理器线程束负载、并行效应因子等高层次性能相关特征。
en-us	By integrating hardware and software fac-tors closely related to GPU program time, high-level performance-related features such as device parallel space idle degree(DPSID), number of streaming multiprocessor warp (NSMW)are defined.

zh-cn	2)基于上述特征，框架针对线程负载均衡型 GPU 程序，评估内核函数在不同问题规模以及执行配置下的执行时间。
en-us	Based on the above features, a framework for e-valuating the execution time of kernel functions under different problem sizes and execution configurations is built for thread load balancing GPU programs.

zh-cn	3)依据性能评估原理提出了内核函数执行配置参数的优化策略。
en-us	The principle of optimizing configuration parameters of kernel function execution is put for-ward to guide optimizing program performance.

zh-cn	验证实验结果表明，该框架在两种典型情境下对现有程序性能的平均预测准确率分别达到 89% 和 94% ，客观归纳了高层次特征与程序性能间的相关关系，且能定性分析并行算法性能水平。
en-us	The experimental results show that the average prediction accuracy of the framework is 89% and 94% in the two scenarios, respectively.

zh-cn	近似线性相位是许多滤波系统希望具有的重要特性，全通滤波器则是实现这个特性的重要技术手段。
en-us	Linear phases are often a requisite in many signal filtering applications. All-pass digital filters are the maindevice to realize the linear phases.

zh-cn	提出全通数字滤波器的一种迭代重加权 minimax 设计方法，最小化最大加权线性相位偏差，并利用群延迟偏差信息对权函数进行迭代更新，使群延迟偏差函数近似等纹波。
en-us	An iterative reweighted minimax method is proposed for the design of all-pass digital fil-ters. The method minimizes the maximum weighted phase deviation from some linear phase, and reduces the maximumgroup-delay deviation from some constant group delay through updating the phase-error weight function iteratively by virtueof the group-delay deviation.

zh-cn	为展现该方法的优越性，将该方法应用于线性相位希尔伯特变换器及相位均衡器的设计。
en-us	To demonstrate its advantages, the proposed method is applied in the designs of phase equilizersand linear-phase Hilbert transformers.

zh-cn	设计例子展示了算法良好的收敛性，以及在实现滤波系统近似线性相位和近似常数群延迟方面的优良性能。
en-us	Simulation results show that the proposed algorithm has good convergence properties, and is very effective in realizing the nearly linear phase and nearly constant group delay of the filtering system.

zh-cn	针对云存储系统中的数据安全问题，提出了一种面向云存储安全的可自愈拜占庭 Quorum 系统。
en-us	For the problem of data security in the cloud storage system, a self-healing Byzantine Quorum system forthe cloud storage security is proposed.

zh-cn	该系统以虚拟机作为后端存储设备构建虚拟存储节点，利用虚拟机多样化操作系统，以及动态迁移、快速部署等机制构建动态异构的存储系统架构。
en-us	In this system, the virtual machines are used as back-end storage devices to constructthe virtual storage node. The diverse operating systems, dynamic migration and rapid generation mechanism of virtual ma-chines are introduced to build dynamic and heterogeneous storage system architecture.

zh-cn	在拜占庭容错门限的基础上，提出自愈门限的概念，并设计相应系统安全协议，实现存储节点的自动化异常检测和状态复原。
en-us	On the basis of the Byzantine fault tol-erance threshold, the concept of self-healing threshold is presented and several security protocols are devised to achieve auto-mated anomaly detection and storage node recovery.

zh-cn	实验结果表明，提出的云存储系统具有较高的鲁棒性，能有效提高存储数据的安全性。
en-us	The experimental results show that the proposed cloud storage system isgreatly robust and can effectively improve the security of stored data.

zh-cn	针对现有场景流计算方法在复杂场景、大位移和运动遮挡等情况下易产生运动边缘模糊的问题，提出一种基于语义分割的双目场景流估计方法。
en-us	In order to address the issue of motion boundary blurring caused by the complex scenes, large displacementand motion occlusion, this paper proposes a binocular scene flow estimation method based on semantic segmentation.

zh-cn	首先，根据图像中的语义信息类别，通过深度学习的卷积神经网络模型将图像划分为带有语义标签的区域;
en-us	Firstly, by using the image semantic information, we classify the image regions into several categories with semantic labels through convolutional neural networks.

zh-cn	针对不同语义类别的图像区域分别进行运动建模，利用语义知识计算光流信息并通过双目立体匹配的半全局匹配方法计算图像视差信息。
en-us	Then we plan the motion models of various image regions according to the different semantic categories and compute the optical flow and disparity under the prior knowledge of semantic information.

zh-cn	然后，对输入图像进行超像素分割，通过最小二乘法耦合光流和视差信息，分别求解每个超像素块的运动参数。
en-us	Secondly, we apply the superpixel segmentation to the input image and couple the optical flow and disparity information via least squares methodto solve the motion parameters of each superpixel patch.

zh-cn	最后，在优化能量函数中添加语义分割边界的约束信息，通过更新像素到超像素块的映射关系和超像素块到移动平面的映射关系得到最终的场景流估计结果。
en-us	Finally, we add the boundary information of semantic segmentation constraint to the optimization energy function, and estimate the scene flow by updating the mappings of pixels-to-superpixel and superpixel-to-plane.

zh-cn	采用 KITTI 2015 标准测试图像序列对本文方法和代表性的场景流计算方法进行对比分析。
en-us	We evaluate the proposed approach and some state-of-the-art methods on the KITTI 2015 database to conduct a comparison experiment.

zh-cn	实验结果表明，本文方法具有较高的精度和鲁棒性，尤其对于复杂场景、运动遮挡和运动边缘模糊的图像具有较好的边缘保护作用。
en-us	The experimental results demonstrate that our method has high accuracy and good ro-bustness, and especially has significant benefit of boundary preserving in the areas of complex scene, motion occlusion andmotion boundary.

zh-cn	图模型越来越广泛地应用于数据管理、知识发现和信息服务等问题中，
en-us	Graphs are increasingly used in data management, knowledge discovery and information services.

zh-cn	图嵌入作为图分析和应用的重要技术手段，成为了人工智能领域研究的热点之一。
en-us	As animportant strategy of graph analysis and applications, graph embedding has become one of the subjects with great attention inartificial intelligence.

zh-cn	本文从图嵌入研究中面临的挑战出发，主要介绍了基于矩阵分解、基于随机游走和基于深度学习的图嵌入方法。
en-us	Starting from the challenges faced in graph embedding studies, this paper introduces the principal meth-ods based on matrix decomposition, random walk and deep learning.

zh-cn	接着，介绍了图嵌入方法常用的测试数据集、评测标准和典型应用。
en-us	Then, we introduce general test datasets, evaluation cri-teria as well as typical applications widely used in graph embedding.

zh-cn	最后，总结了图嵌入未来研究的趋势和方向。
en-us	Finally, we summarize the trend and future research is-sues of graph embedding.

zh-cn	视频目标分割是计算机视觉领域中的一个研究热点，传统基于深度学习的视频目标分割方法在线微调深度网络，导致分割耗时长，难以满足实时的需求。
en-us	Video object segmentation (VOS)is a research hotspot in the field of computer vision. Traditional VOS based on deep learning fine-tunes the deep network online, which leads to long time-consuming segmentation and is difficultto meet real-time requirements.

zh-cn	本文提出一种快速的视频目标分割方法。
en-us	Therefore, we propose a fast VOS method.

zh-cn	首先，参数共享的孪生编码器子网将参考流和目标流映射到相同的特征空间，使得相同的目标具有相似的特征。
en-us	First, the weight-shared siamese encoder subnet maps the reference stream and the target stream to the same feature space;so that the same objects have similar features.

zh-cn	然后，全局特征提取子网在特征空间中匹配给定目标相似的特征，定位目标对象。
en-us	Then, the global feature extraction subnet matches the features similar to the given object to locate the object.

zh-cn	最后，解码器子网将目标特征还原，并通过连接目标流的低阶特征，提供边缘信息，最终输出目标的分割掩码。
en-us	Finally, the de-coder subnet restores the object features and gets edge information by connecting the low-level features of target stream tooutput the mask.

zh-cn	在公开基准数据集上的实验表明，本文方法的分割速度有大幅度提升，同时具有较好的分割效果。
en-us	Experiments on public benchmark datasets show that our method improves the speed significantly and a-chieves good performance.

zh-cn	可计算的图像复杂度评价是让计算机模拟人类视觉感知，从而对图像视觉复杂度进行决策的研究，
en-us	Modeling of image complexity is a research that builds a computer to sense the visual complexity of images in a way that is similar to the majority of people.

zh-cn	该研究属于多学科交叉的创新性研究课题，在图像工程领域具有重要意义。
en-us	The research is an interdisciplinary subject and is of great significance in the fieldof image engineering.

zh-cn	本文针对可计算的图像复杂度评价方法进行了全面的梳理和分析，
en-us	In this article, the main methods of evaluating image complexity have been carried out by a comprehensive analysis.

zh-cn	文中首先回顾了图像复杂度的应用领域，并详细阐述了图像复杂度评价方法，从信息论、图像压缩理论、图像特征分析、眼动数据等方面进行总结;
en-us	The paper reviews the different application fields of image complexity. Then the paper introduces the evaluation methodsfor visual complexity in detail from information theory, theory of image compression, image analysis and image modeling method of complexity.

zh-cn	随后，着重阐述基于图像特征的图像复杂度评价方法中所使用的图像特征;
en-us	Especially, we focus on descriptions of the image features used in the complexity evaluation method based on theimage features.

zh-cn	归纳图像复杂度建模中的分类和回归问题;
en-us	In terms of image complexity assessment, we illustrate the classification and regression methods for evaluating complexity of images.

zh-cn	最后，总结当前图像视觉复杂度评价方法存在的问题和挑战，展望图像复杂度的计算化发展方向。
en-us	This work also proposes the existing problems and challenges in the study of image complexity.

zh-cn	图像属性标注是一种更细化的图像标注，它能缩小认知与特征间“语义鸿沟”。
en-us	Image attribute annotation is a refined method of image annotation. It can narrow the“semantic gap”be-tween cognition and features.

zh-cn	现有研究多基于单特征且未挖掘属性蕴含的深层语义，故无法准确刻画图像内容。
en-us	However, a single feature is used to characterize images and the deep-level semantics are notfully explored. So annotations cannot depict images comprehensively.

zh-cn	改进有效区域基因选择算法融合图像特征，
en-us	The traditional effective range based gene selection al-gorithm is modified to complete feature fusion.

zh-cn	并设计迁移学习策略，实现材质属性标注;
en-us	And transfer learning strategy is designed to complete material annotation.

zh-cn	基于判别相关分析挖掘特征间跨模态语义，
en-us	The cross-modal semantics among features are mined by the discriminant correlation analysis algorithm.

zh-cn	以改进相对属性模型，标注材质属性蕴含的深层语义-实用属性。
en-us	So the relative at-tribute model is optimized to complete deep-level semantics (practical attributes)annotation.

zh-cn	实验表明:材质属性标注精准度达 63.11% ，较最强基线提升 1.97% ;
en-us	Experimental results demon-strate:Material attributes annotation accuracy reaches 63. 11% , which is improved by 1. 97% compared with baseline.

zh-cn	实用属性标注精准度达59.15% ，较最强基线提升 2.85% ;
en-us	Practi-cal attributes annotation accuracy reaches 59. 15% , which is improved by 2. 85% compared with baseline.

zh-cn	层次化的标注结果能全面刻画图像内容。
en-us	The proposed hi-erarchical annotation mechanism can more comprehensively depict images.

zh-cn	通过增加伪码字的代价，基于交替方向乘子法(Alternating Direction Method of Multipliers，ADMM)的惩罚译码方法可以改善低密度奇偶校验(Low-Density Parity-Check，LDPC)码低信噪比区域的译码性能，同时具有低的译码复杂度。
en-us	By making the pseudocodewords more costly, the penalized decoding method based on alternating directionmethod of multipliers (ADMM)can improve the decoding performance for low-density parity-check (LDPC)codes at lowsignal-to-noise ratios and also has low decoding complexity.

zh-cn	而减少 ADMM 惩罚译码的欧几里德投影次数、选择合适的消息调度策略和设计有效的罚函数是提高ADMM 惩罚译码速度的三种重要方法。
en-us	Reducing the number of Euclidean projection in ADMM penal-ized decoding, selecting the appropriate message scheduling strategy and designing effective penalty function are three impor-tant methods to increase the ADMM penalized decoding speed.

zh-cn	为了进一步提高 ADMM 惩罚译码速度，通过利用 Wei 等人提出的方法来减少欧几里德投影的次数，本文设计了基于 I-l1-PF 罚函数的水平分层调度与垂直分层调度策略的两种 LDPC 码 ADMM 惩罚译码方法。
en-us	In order to increase the ADMM penalized decoding speedfurther, by using the method proposed by Wei et al to reduce the number of Euclidean projections, this paper designs twokinds of ADMM penalized decoding methods with the horizontal layered scheduling and the vertical layered scheduling strat-egy for LDPC codes based on the I-l1-PF penalty function.

zh-cn	仿真实验表明，与现有 ADMM 惩罚译码方法相比较，所设计的译码方法不仅具有较好的译码性能，而且能够显著降低 LDPC 码译码的平均迭代次数和平均译码时间。
en-us	Simulation results show that the designed methods not only havebetter decoding performance but also significantly reduce the average number of iterations and the average decoding timecompared with the existing ADMM penalized decoding methods.

zh-cn	针对现有的辐射源识别方法的不足，利用辐射源自身 I/Q 失配指纹特征的可检测、可重现、不变的特性，提出一种基于 I/Q 失配的新型射频指纹特征提取方法。
en-us	In view of the shortcomings of the existing method of identification of radiant sources, a novel feature ex-traction method based on I/Q mismatch is proposed, which can be detected, reproducible and invariable by using the I/Qmismatch fingerprint of the source.

zh-cn	该方法是一种基于信号空间的指纹特征提取方法，
en-us	This method is a fingerprint feature extraction method based on signal space.

zh-cn	它需要对信号的信噪比进行估计。
en-us	It needs to estimate the signal-to-noise ratio of the signal.

zh-cn	综合考虑，采用基于特征值分解的信噪比估计方法。
en-us	Through comprehensive consideration, the SNR estimation method based oneigenvalue decomposition is adopted.

zh-cn	实验仿真结果表明，在相同的信噪比条件下，基于 I/Q 失配的射频指纹特征提取方法比双谱、Hilbert-Huang 变换信号特征提取方法具有更加优越的射频指纹识别性能。
en-us	The experimental simulation results show that, under the same signal to noise ratio, theradio frequency fingerprint feature extraction method based on I/Q mismatch is superior to the dual spectrum and Hilbert-Huang transform signal feature extraction methods.

zh-cn	针对非限定性条件下人脸识别困难问题，设计了一种引入感知模型的改进孪生卷积神经网络结构(In-ception Module Incorporated Siamese Convolutional Neural Networks，IMISCNN)，
en-us	To solve the problem of face recognition under unlimited conditions, a simple network structure named In-ception Module Incorporated Siamese Convolutional Neural Networks (IMISCNN)was designed, which was suitable forsmall-scale data sets.

zh-cn	在充分利用孪生结构有效减少外界干扰并避免过拟合等优点的基础上，为其增加感知模型实现更丰富特征的提取。
en-us	On the basis of making full use of the Siamese structure to effectively reduce external interference andavoid over-fitting, inception module was incorporated to the Siamese network to extract richer features.

zh-cn	为寻找最优学习率引入了循环学习率策略，加速模型收敛。
en-us	Furthermore, a cycli-cal learning rate strategy was adopted to accelerate the convergence of the model.

zh-cn	在 CASIA-webface 和 Extended Yale B 标准人脸数据库上的仿真实验表明，所提 IMISCNN 算法提升了人脸识别精度。
en-us	Simulation results on the CASIA-webfaceand Extended Yale B standard face database showed that the recognition accuracy of IMISCNN was significantly improved compared with other face recognition algorithms.

zh-cn	针对强噪声背景下微弱信号检测问题，本文把互补集总经验模式分解(CEEMD)方法和变尺度 Duffing振子结合，提出了一种新的微弱信号检测方法。
en-us	Aiming at the weak signal detection problem under strong noise background, the weak signal detectionprinciple based on Duffing oscillator is analyzed. Combining the complementary ensemble empirical mode decomposition(CEEMD)method with the variable-scale Duffing oscillator, a new weak signal detection method is proposed.

zh-cn	利用 CEEMD 将复杂含噪信号分解为不同的固有模态函数(IMF)，通过Duffing 系统分岔图及其变化找到相轨迹变化的临界阈值，实现含噪信号的信息检测。
en-us	The complexnoisy signal is decomposed into different intrinsic mode functions(IMF)by using CEEMD. Through the Duffing system bi-furcation diagram and its changes, the critical threshold of the phase trajectory change is found, and the information detectionof the noisy signal is realized.

zh-cn	结果表明，本文所提方法不仅可以很好地免疫噪声，而且能有效检测出信噪比低至 － 73dB 的多频率周期信号。
en-us	The results show that the joint detection method can not only immune noise well, but also ef-fectively detect multi-frequency periodic signals with signal-to-noise ratio as low as － 73dB.

zh-cn	在能量受限的通信系统中，能量效率是衡量系统性能的关键指标。
en-us	In energy-limited communication systems, energy efficiency is a key factor that affects the performance of the systems.

zh-cn	本文研究由一个基站和多个分簇用户组成的无线供电混合非正交多址接入系统。
en-us	In this paper, we consider a wireless powered hybrid non-orthogonal multiple access network consisting of abase station and multiple clustered users.

zh-cn	在该网络中，基站通过无线能量传输方式给用户供能，用户则利用收集到的能量向基站传输各自的信息。
en-us	In this network, the base station transfers energy to the users in a wireless manner, and the users utilize the harvested energy to transmit information to the base station.

zh-cn	为降低基站的接收解码复杂度，用户采用分簇的方式进行信息传输:
en-us	To simplify the complexity of the basestation's information receiver, a hybrid multiple access scheme is adopted by the users, which are partitioned into multipleclusters.

zh-cn	簇间用户的信息传输采用时分多址方式，而簇内用户的信息传输采用非正交多址方式。
en-us	The users in the same cluster transmit in the non-orthogonal multiple access manner, while the users from differentclusters transmit in the time division multiple access manner.

zh-cn	通过联合分配能量传输与信息传输的时间长度以及控制基站和用户的发射功率来实现网络能量效率的最大化。
en-us	To maximize the energy efficiency of the network, we jointly optimize the time length of wireless energy transfer from the base station to the users and the time length of information transmission from the users to the base station, as well as the transmit powers of the users.

zh-cn	由于涉及的优化问题是非凸的，本文先通过寻找问题最优解的结构，然后根据分式规划理论，提出了一种新的迭代资源分配算法来求解该问题。
en-us	The formulated problem is non-convex and thus is difficult to solve. To tackle this problem, we first find the structure of its optimal solution, and then pro-pose an efficient iterative algorithm to solve it based on the fractional programming technique.

zh-cn	仿真结果表明，与“吞吐量最大化策略”和“固定时间分配策略”两种基准策略相比，所提出的算法显著提高了网络的能量效率。
en-us	Simulation results show that the energy efficiency performance of the proposed algorithm significantly outperforms that of two benchmark schemes, namely the throughput maximization scheme and the fixed time allocation scheme.

zh-cn	本文设计并实现了依需聚合的语义深层网查询模型———SemtoSql + 。
en-us	In this paper, we design and propose SemtoSql + , a semantic deep network query model based on demand aggregation.

zh-cn	提出以长短期记忆网络为基础，采用词嵌入技术将语料库训练为模型输入的词向量;
en-us	At the same time, it is a network to address the complex and cross-domain Text-to-SQL generation task. Based on LSTM and Word2Vec embedding technology, the corpus is trained as the input word vector of the model.

zh-cn	并结合依赖关系图，将 SQL 语句四个层级的生成问题转换为依赖关系图中槽的填充问题，
en-us	Combined with the dependency graph method, the problem of SQL statement generation transforms into slot filling.

zh-cn	同时引入注意力机制有效避免了传统模型中的顺序问题;采用随机蒙蔽机制，构建依需聚合的增强型 SemtoSql + 模型。
en-us	SemtoSql + divides com-plex tasks into four levels and constructs by the need of aggregation, using the attention mechanism to effectively avoid the order problem in the traditional model and using a random masked mechanism to enhance the model.

zh-cn	论文提出了一种基于 trace 特征的逆合成孔径雷达( Inverse Synthetic Aperture Radar，ISAR) 像空间目标识别算法。
en-us	This paper proposes a space target recognition algorithm based on the trace feature of ISAR( Inverse Syn-thetic Aperture Radar) image.

zh-cn	首先将 ISAR 像进行分割与归一化处理，利用 Canny 边缘检测、Hough 变换方法提取空间目标 ISAR 像最长轴，确保所提特征具有旋转不变性;
en-us	Firstly, the ISAR images are segmented and normalized. The Canny edge detection and Houghtransform method are used to extract the longest axis of the ISAR image of space target to ensure the rotation invariance of the proposed feature.

zh-cn	然后仅对最长轴所在局部区域进行 Trace 变换生成空间目标 ISAR 像的局部 trace矩阵，使得所提 trace 特征满足低维要求;
en-us	Then, Trace transformation is only carried out in the local area where the longest axis is located to gen-erate the local trace matrix of ISAR image, so that the trace features proposed can meet the requirements of low dimension;

zh-cn	再将 trace 矩阵每一列向量进行移位对准操作以消除 ISAR 像平移对识别带来的影响并将其作为空间目标识别的特征向量;
en-us	then each column of the trace matrix is shifted and aligned to eliminate the impact of ISAR image translation on the recogni-tion and take it as the feature vector of the space target recognition;

zh-cn	最后在特征空间内以最小欧氏距离作为不相似度，采用集成分类器AdaBoost。
en-us	finally, taking the minimum Euclidean distance as thedissimilarity in the feature space, AdaBoost.

zh-cn	M2-KNN 完成了 5 类空间目标的分类识别。
en-us	M2-KNN, an ensemble classifier, is used to classify and recognize the five typesof space objects.

zh-cn	通过 5 类空间目标的 ISAR 数据对该方法进行目标识别验证，并与现有的几种 ISAR 像特征提取方法进行了对比。
en-us	The method is validated by the ISAR data of five types of space targets, and compared with several existing ISAR image feature extraction methods.

zh-cn	结果表明论文所提算法可行有效，可以明显地提高识别率。
en-us	The results show that the proposed algorithm is feasible and effective, and can sig-nificantly improve the recognition rate.

zh-cn	基于非正交多址接入( NOMA，Non-Orthogonal Multiple Access) 的认知无线电( CR，Cognitive Radio) 网络物理层传输面临主用户干扰和第三方窃听双重干扰威胁。
en-us	The physical layer transmission faces the interference from primary users and eavesdroppers in cognitiveradio networks based on non-orthogonal multiple access ( CR-NOMA) .

zh-cn	本文提出利用空时编码( STBC，Space Time Block Coding) 技术提高认知用户物理层安全性能，推导了任意认知用户的安全中断概率闭合表达式。
en-us	In this paper, Alamouti space-time block coded ( ST-BC) is utilized to improve the physical layer security transmission performance. The closed-form expressions for the security outage probability of all secondary users are derived.

zh-cn	通过蒙特卡洛仿真进行验证，
en-us	We provide extensive Monte-Carlo simulation results to corroborate the analysis.

zh-cn	结果表明，所提 STBC-CR-NOMA 相比未采用 STBC 编码方案的 CR-NOMA 可以明显提高用户的安全中断概率，
en-us	The results show that the security outage probability of stronger cognitive users is improved by the proposed STBC-NOMA-based CR compared with the traditional NOMA-based CR.

zh-cn	且随着认知发射功率的增大，近端用户安全中断性能提高越大，而远端用户安全中断性能提升受认知基站发射功率的影响较小。
en-us	Moreover, the security outage probability of the stronger cognitive users experiences performance enhancement with the increase of the cognitive transmission power, whilst the secur-ity outage probability of weaker cognitive users will be less impacted by the transmission power.

zh-cn	仿真结果还表明，通过调整功率分配系数对远端用户和近端用户的安全中断性能影响不同。
en-us	In addition, we demonstrate that the power allocation coefficients will have different impact on the stronger cognitive users and the weaker users.

zh-cn	保边滤波被广泛应用于图像的艺术化风格转换，但目前的方法大都只能产生类似卡通的绘画风格，对于具有明显笔画形状的绘画风格转换都无能为力。
en-us	Edge-preserving filters have been extensive used to image artistic stylization, but most of the existing filterscan only generate cartoon-like style and can do nothing about the painting styles with clear brush stroke shape.

zh-cn	文章在 kuwahara 滤波的基础上提出了一种尺度可控的各向异性kuwahara 滤波，可以生成具有明显笔画形状的艺术效果。
en-us	Based on ku-wahara filter, the paper proposes a multi-scale anisotropic kuwahara filter to generate some painting styles with obvious brushstroke shape.

zh-cn	为了更好的模拟画家的绘画技法，文章以图像显著性作为控制信息来实时调整滤波核大小，可以产生丰富的笔画尺度。
en-us	To simulate the painting techniques, saliency is used to control the size of the filter kernel and can produce strokes with rich geometrical scales.

zh-cn	基于该算法，文章还给出了一个视频的艺术化风格渲染框架。该渲染框架可以保持良好的帧间一致性，自动的将视频转换为水粉画或油画效果。
en-us	Based on the multi-scale anisotropic kuwahara filter, we also propose an artistic render-ing framework for video stylization, which can keep frame-to-frame coherence well and automatically convert video into gouache or oil painting effect.

zh-cn	同时利用图像的边缘切方向场图、边缘梯度和显著性控制凹凸映射，产生油画和水粉画笔触的厚重感和层次感，能很好的模拟“厚涂技法”的艺术风格。约束二维有限脉冲响应( Finite Impulse Response，FIR) 滤波器，现有设计算法计算复杂度高。
en-us	To produce brush strokes a thick and layered feel, bump mapping is used to produce the stroke touch effects. The edge tangent vector field map, edge gradient magnitude and image saliency are combined to control the bump mapping, which can simulate the“impasto technique”well in oil or gouache paintings.

zh-cn	针对二维FIR 滤波器的约束最小二乘设计，本文应用交替方向乘子法( Alternating Direction Method of Multipliers，ADMM) ，研究其并行优化方法。
en-us	For constrained two-dimensional ( 2-D) finite impulse response ( FIR) filters, the computational complexi-ty of the existing design algorithms is very high. Based on the alternating direction method of multipliers ( ADMM) , the par-allel optimization of constrained least-squares ( CLS) 2-D FIR filters was studied.

zh-cn	通过模型的最大分划，并采用一种松弛技术，提出一个具有高度并行结构的最大分划松弛 ADMM 算法，分析了算法的计算复杂度，讨论了算法的收敛性，并给出了算法的参数设置方法。
en-us	By maximally splitting the problem into univariate subproblems and utilizing a relaxation technique, a maximally split and relaxed ADMM with a highly parallelcomputing architecture was proposed. The computational complexity and convergence of the algorithm were analyzed, and apractical scheme for selection of the algorithm parameters was provided.

zh-cn	实验表明，最大分划松弛 ADMM比非松弛的最大分划 ADMM 收敛快很多;
en-us	Experimental results show that the proposed maxi-mally split and relaxed ADMM converges much faster than the maximally split unrelaxed ADMM.

zh-cn	与现有算法相比，提高了计算效率。
en-us	Compared with existing algorithms, the computational efficiency of the proposed algorithm is improved.

zh-cn	GPU 加速实验中获得的大加速比，表明了所提算法的高度并行性和可扩展性，在图像处理、计算机视觉、模式识别及机器学习等领域有广阔的应用前景。
en-us	The large acceleration ratios obtained byGPU demonstrate the high parallelism and scalability of the proposed algorithm, which is very valuable for applications of the algorithm in image processing, computer vision, pattern recognition and machine learning.

zh-cn	针对非高斯背景下局部最优检测( Locally Optimal Detector，LOD) 结构复杂、稳健性弱的问题，对传统的限幅器进行改进，提出了一种自适应限幅检测器( Adaptive Limiter Detector，ALMD) 。
en-us	Aiming at the problem that the local optimal detector( LOD) has complex detection structure and poor ro-bustness for signal detection in Non-Gaussian noise background, an adaptive limiter detector ( ALMD) is proposed based on the improvement of traditional limiter.

zh-cn	首先对弱信号的检测性能进行了系统研究，
en-us	Firstly, the detection performance of weak signal is systematically studied.

zh-cn	然后依据混合高斯模型对非高斯背景建模，
en-us	Then thenon-Gaussian background is modeled by the mixed Gaussian model.

zh-cn	在此基础上得到了限幅阈值与限幅检测性能之间的解析表达式，
en-us	On this basis, the analytical expression between the clip-ping threshold and the detection performance is obtained.

zh-cn	最后通过推导确定了最佳限幅阈值，明显提高了检测性能。
en-us	Finally, the optimal threshold is determined which leads to a signif-icantly improvement of the detection performance.

zh-cn	仿真结果表明 ALMD 与 LOD 性能接近，但结构简单，性能稳健，适应性更强。
en-us	Simulation results shows that the ALMD has similar performance com-pared to LOD but provide relatively efficient and robustness.

zh-cn	基于大气湍流非相干散射理论，采用泰勒方法对湍流谱函数进行近似，推导获得了对流层散射传输损耗与大气折射率结构常数的关系，即 L-C 模型;
en-us	Based on the incoherent scatter theory of atmospheric turbulence, the turbulence spectrum is approximatedby the Taylor method, and the relationship between the tropospheric scattering transmission loss and the atmospheric structure constant of the refractive index is obtained, that is, L-C model.

zh-cn	开展了对流层散射传播试验，基于 WRF( Weather Research and Forecas-ting) 数值模式对试验期间大气折射率结构常数进行预报;
en-us	The troposcatter propagation experiment was carried out, and the atmospheric structure constant of the refractive index during the test was predicted based on the numerical weather pre-diction model of WRF ( Weather Research and Forecasting) .

zh-cn	基于预报的大气折射率结构常数数据应用 L-C 模型预测对流层散射传输损耗，并与试验测试损耗值进行对比研究。
en-us	Based on the forecasted data of the atmospheric structure con-stant of the refractive index, the L-C model is used to predict the troposcatter transmission loss, and compared with the meas-ured loss.

zh-cn	结果表明，应用 L-C 模型预测的损耗值与实测值变化趋势吻合较好，均方根误差不超过 6dB，
en-us	It is shown that the variation tendency of the predicted loss and the measured loss are in good agreement, and theRMS ( root mean square) errors are no more than 6dB.

zh-cn	并且传输损耗与大气折射率结构常数间的相关系数均大于 0.7，表明了对流层散射传输损耗与大气折射率结构常数之间较强的相关性。
en-us	On the other hand, the correlation coefficients between the transmis-sion loss and the structure constant of the refractive index are all greater than 0. 7.

zh-cn	这种对流层散射与大气折射率结构常数之间的相关性对于对流层散射传输的机理和建模研究都有重要意义。
en-us	All of these show that there is indeed astrong correlation between troposcatter transmission loss and structure constant of the refractive index, and this correlation is of great value for the investigation of the mechanism and modeling on troposcatter transmission.

zh-cn	端射阵天线是指波束指向垂直于阵列法线方向的一类特殊雷达天线，
en-us	End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal di-rection of the array.

zh-cn	由于其具有低剖面和定向辐射特性，因而特别适合用于机载雷达的补盲。
en-us	Because of its low profile and directional radiation characteristics, it is especially suitable for blind com-pensation of airborne radar.

zh-cn	由于端射阵通常呈前视放置，因而与传统前视侧射阵机载雷达一样，不可避免地要面临杂波的距离非平稳问题。
en-us	As end-fire array is usually placed forward-looking, it inevitably faces the problem of non-sta-tionary clutter which just likes traditional forward-look side-fire array.

zh-cn	本文基于端射阵机载雷达杂波谱特性，提出了一种距离模糊下端射阵近程杂波补偿新方法。
en-us	Based on the clutter spectrum characteristics of end-fire array airborne radar, a novel short-range non-stationary clutter compensation method for end-fire array with range ambi-guity is proposed in this paper.

zh-cn	该方法以最远可检测距离单元为参考单元并增加了动目标约束保护条件，克服了存在距离模糊时基于杂波谱配准( Registration-Based Compensation，RBC) 原理的传统补偿方法存在的目标相消以及计算量大的问题;
en-us	The farthest detectable range unit is taken as the reference unit and the constraint protectioncondition is added to the moving target in this method, which overcomes the disadvantage of target cancellation and largecomputation of the traditional compensation method based on RBC( Registration-Based Compensation) principle with range ambiguity.

zh-cn	同时针对可能存在的目标约束失配问题，进一步提出了基于虚拟波束的扩展补偿方法。
en-us	At the same time, aiming at the problem of the target constraint mismatch, an extended compensation method based on virtual beam is proposed.

zh-cn	计算机仿真结果验证了本文方法的有效性。
en-us	The computer simulation results verify the effectiveness of the proposed method.

zh-cn	在谐振极软开关逆变器辅助电路的换流过程中，为避免剩磁通的累积导致变压器铁心饱和，提出了一种变压器辅助换流的三相节能型谐振极逆变器的拓扑结构，
en-us	In the commutation process of auxiliary circuit in the resonant pole soft-switching inverter, the accumulation of remanence can lead to saturation of transformer core. To avoid this case, the article proposes a novel topology of three-phaseenergy-saving resonant pole inverter with transformer-assisted commutation.

zh-cn	在二极管反向阻断的作用下，变压器的磁化电流无法形成稳态环流，从而使变压器中的能量全部向负载转移，
en-us	Under the effect of diode reverse blocking, the magnetizing current of the transformer is unable to form a steady state circulation so that all the energy in the transformer istransferred to the load.

zh-cn	磁化电流最终变化到零，实现了变压器的去磁复位。
en-us	The magnetizing current changes to zero, which realizes demagnetizing and resetting function of trans-former finally.

zh-cn	此外，逆变器的主开关和辅助开关可以分别完成零电压软切换和零电流软切换。
en-us	In addition, the main switch and auxiliary switch of the inverter can achieve zero-voltage soft-switching and ze-ro-current soft-switching respectively.

zh-cn	分析了电路的换流过程。
en-us	The article analyzes the commutation process.

zh-cn	实验结果表明逆变器的开关器件完成了软切换，变压器磁化电流能减小到零。
en-us	The experimental results show that the switching devices of the inverter have achieved soft switching and the magnetization current of the transformer can reduce to zero.

zh-cn	该拓扑结构对于研发高性能谐振极逆变器具有一定的参考价值。
en-us	The topology has a certain reference value for the development of the high-performance resonant pole inverter.

zh-cn	为了改善自然语言处理应用中长期存在的主题漂移和词不匹配问题，本文首先提出一种加权项集支持度计算方法和基于项权值排序的剪枝方法，
en-us	To ameliorate the long-standing problems of theme drift and word mismatch in natural language processingapplications, this paper first proposes a computing method for weighted itemset support and a pruning method based on itemweight sorting ( IWS) .

zh-cn	给出面向查询扩展的基于项权值排序的加权关联规则挖掘算法，讨论关联规则混合扩展、后件扩展和前件扩展模型，
en-us	And then, a weighted association rule mining algorithm for query expansion is presented based on theIWS, and the models such as association rule antecedent and consequent hybrid expansion ( RACHE) , rule consequent ex-pansion ( RCE) along with rule antecedent expansion ( RAE) are discussed.

zh-cn	最后提出基于项权值排序挖掘的跨语言查询扩展算法。
en-us	Finally, an algorithm of cross-language queryexpansion ( CLQE) is put forward based on the IWS mining.

zh-cn	该算法采用新的支持度和剪枝策略挖掘加权关联规则，根据扩展模型从规则中提取高质量扩展词实现跨语言查询扩展。
en-us	The algorithm utilized the new support and the pruning method to mine the weighted association rules, and extracted high quality expansion terms from the rules according to the expansion models in order to carry out CLQE.

zh-cn	实验结果表明，与现有基于加权关联规则挖掘的跨语言扩展算法比较，本文扩展算法能有效遏制查询主题漂移和词不匹配问题，可用于各种语言的信息检索以改善检索性能，
en-us	A comparison between the proposed expansion algorithm and the existing CLQE algo-rithms based on weighted association rules mining is made, which shows that the former can effectively restrain the problems of query topic drift and word mismatch, and can be used in information retrieval in various languages to improve retrieval performance.

zh-cn	扩展模型中后件扩展获得最优检索性能，混合扩展的检索性能不如后件扩展和前件扩展，
en-us	The RCE achieves the optimal retrieval performance in the proposed expansion models, and the retrieval per-formance of the RACHE is not as good as that of the RAE and the RCE.

zh-cn	支持度对后件扩展更有效，置信度更有利于提升前件扩展和混合扩展的检索性能。
en-us	The support is more effective for the RCE algo-rithm. The confidence can make the RAE and the RACHE get the best retrieval result.

zh-cn	本文挖掘方法可用于文本挖掘、商务数据挖掘和推荐系统以提高其挖掘性能。
en-us	And moreover, the proposed mining method can be used in text mining, business data mining and recommendation system to improve its mining performance.

zh-cn	近年来，Ku 和 Ka 卫星在广播、通信和军事等领域应用数量越来越多，传统的 Ku 和 Ka 波段星地链路降水衰减预报模型基于经验关系和理想假设，考虑降水微物理特性不足，
en-us	In recent years, the number of satellites with Ku and Ka band has been increasing in the fields of broadcast-ing, communication and military. However, traditional prediction models of rain attenuation for earth-space links in Ku andKa band are based on empirical relationships and ideal assumptions, which consider insufficient precipitation microphysical properties.

zh-cn	针对此问题，在实测降水粒子微物理特征的基础上定量分析了降水垂直分布、粒子形状、粒子取向、粒子相态等对 Ku 和 Ka 频段信号衰减的影响特性。
en-us	Aiming at this problem, the effect of vertical distribution of precipitation, particle shape, particle orientation andphase on signal attenuation are quantitatively analyzed based on measured rainfall data.

zh-cn	结果表明，与考虑降水非均匀垂直分布的计算结果相比，ITU 和 SAM 模型是基于降水分布均匀的假设，无法代表降水垂直分布不均匀时的衰减情况;
en-us	The results show that compared with the calculation results of nonuniform vertical structure of rainfall, ITU and SAM models are based on uniform precipitation distribution, which cannot represent the attenuation when the vertical rainfall is nonuniform.

zh-cn	降水粒子形状和取向对衰减的影响较小，在 13GHz 和 32GHz 频段，球形和非球形粒子衰减值的平均绝对偏差均在 0.01dB 以下，不同粒子取向时衰减系数的平均绝对偏差最大值为 0.00098dB/km 和 0.0207dB/km;
en-us	The particle shape and orienta-tion affect the attenuation for a slight degree, the mean absolute error of attenuation from spherical and non-spherical rain-drops are below 0. 01dB at 13 GHz and 32 GHz, and the maximum mean absolute error of specific attenuation for differentparticle orientations is 0. 00098dB /km and 0. 0207dB /km.

zh-cn	不同相态的降水引起的衰减差异较大，衰减值从大到小依次是湿雪、水和冰。
en-us	There are different attenuation caused by precipitation with differ-ent phases, the values in descending order is wetsnow, water and ice.

zh-cn	研究结果可以为 Ku 和 Ka 波段星地链路传播特性评估及降雨反演新方法提供基本的理论支撑和数据参考。
en-us	These results will provide basic theoretical support anddata reference for evaluation of propagation characteristics and estimation of rainfall by earth-space links at Ku and Ka band.

zh-cn	针对状态时滞随机系统，应用事件驱动近似二次性能指标和随机均方有界理论，
en-us	This paper is concerned with the event-triggered controller and the corresponding event transmission rule for a class of stochastic system subject to state delay. The basic theories are approximate quadratic performance index and mean-square boundedness theory.

zh-cn	同时考虑控制输入和事件决策，设计了反馈控制器和相应的事件驱动控制策略。
en-us	First, the event-triggered state feedback control scheme constrained by the approximate quadratic performance index is proposed which used the current state and time-delay state simultaneously.

zh-cn	基于状态反馈的事件驱动策略同时使用当前状态和时滞状态进行事件的触发，并利用近似二次性能指标进行约束;基于输出反馈的事件驱动策略使用当前状态进行事件的触发。
en-us	Subsequently, an event-triggered output feedback control scheme is established which eliminates the influence of the state-delay terms accord-ing to the mean-square boundedness theory.

zh-cn	最后，通过实验进行了仿真，对事件驱动性能指标进行量化，并与相关文献进行对比，验证了所提出方案可以在保证系统性能的前提下有效减少通信传输，延长无线传感网络的使用寿命。
en-us	Finally, a numerical example is given to illustrate the effectiveness of the pro-posed strategies.

zh-cn	非合作接收条件下，连续相位调制( CPM，Continuous Phase Modulation) 信号多变未知的信号体制使其符号速率盲估计一直是分析该类信号的难点之一。
en-us	In the case of non-cooperative reception, blind estimation for the symbol rate estimation of continuous phase modulation ( CPM) signals is usually one of the difficulties in signal analysis due to the varied signal specification.

zh-cn	现有的算法大多直接基于信号的瞬时频率或循环平稳性，存在抗噪性能差，不适用于多指数 CPM 信号等问题。
en-us	Most of the existing algorithms are based directly on instantaneous frequency or cyclostationarity, which have poor anti-noiseperformance and are not suitable for multi-h CPM signals.

zh-cn	针对该问题，本文通过分析小波变换在信号分解和时频分析中的优势，提出一种综合利用离散小波( DWT，Discrete Wavelet Transform) 分解和频率脊线提取的 CPM 信号符号速率估计的新算法。
en-us	By analyzing the advantages of wavelet transform in signal de-composition and time-frequency, a new algorithm based on discrete wavelet transform ( DWT) and frequency ridge extrac-tion is proposed to estimate the symbol rate of CPM signal.

zh-cn	算法对比分析表明，所提算法具有更好的抗噪性能且在小数据量时也能达到较好的估计性能。
en-us	Comparative analysis of the algorithm shows that the proposed method has better performance in condition of the low signal to noise ratio ( SNR) and small data volume.

zh-cn	目标检测在基于传统手工特征及深度学习算法上已经取得较大发展，
en-us	Object detection has been well studied based on the traditional manual features and deep learning algo-rithm.

zh-cn	然而针对小目标检测的研究近几年才开始出现，研究成果较少，
en-us	However, the research on small object detection has just begun in recent years and there are little research outcome a-vailable.

zh-cn	且大都是在已有目标检测算法基础上进行改进，以提高小目标检测的检测精度。
en-us	Furthermore, most of the methods proposed are based on the traditional object detection algorithms with certainmodifications so as to improve the accuracy of small object detection.

zh-cn	小目标像素点少，本身携带的特征少，多次下采样后就更难进行特征提取，因而小目标检测面临极大挑战。
en-us	Small object contains fewer pixels and has less fea-tures, and it is even harder to extract object features after down sampling. Hence, small object detection is a challenging task.

zh-cn	小目标检测在自动驾驶、遥感图像检测、刑侦等领域都有广泛应用需求，
en-us	Small object detection has a wide range of application requirements in the fields of automatic driving, remote sensing image detection, and criminal investigation.

zh-cn	对于小目标检测技术的研究有重要的实用价值。
en-us	It has important practical value for the research of small object detection technology.

zh-cn	本文对小目标检测的现有研究成果进行了详细综述。
en-us	In this paper, the existing research results of small object detection are summarized.

zh-cn	首先，将现有算法按照检测需要的阶段数分为一阶段、二阶段、多阶段，描述了RetinaNet、CornerNet-Lite、特征金字塔网络( Feature Pyramid Network，FPN) 等算法的原理并进行了对比分析。
en-us	Firstly, the existing algorithms are classified into one stage, two stages and multi-stages according to the number of stages for detection. The principles of RetinaNet、Cor-nerNet-Lite、feature pyramid network( FPN) and other algorithms are described and compared.

zh-cn	其次，本文描述了小目标检测技术在不同领域的应用情况，并汇总了 MS COCO、PASCAL VOC、DOTA、KITTI 等数据集及算法性能评价指标。
en-us	Secondly, this paper describes the application of small object detection technology in different fields, and summarizes the data sets such as MS COCO、PASCAL VOC、DOTA、KITTI and algorithm performance evaluation indicators.

zh-cn	最后，总结了小目标检测面临的挑战，并展望了未来的研究方向。
en-us	Finally, the challenges faced by small object detection are concluded, and the future research directions are prospected.

zh-cn	针对低信噪比条件下，复杂多类雷达辐射源信号识别存在特征提取困难，识别正确率低的问题，本文提出了一种基于时频分析和扩张残差网络的辐射源信号自动识别方法。
en-us	This paper proposes a radar emitter signal recognition method based on time-frequency analysis and dilatedresidual network ( DRN) to solve the problem of difficulty in feature extraction and low accuracy in recognition of complexmultiple radar emitter signals under low signal-to-noise ratio ( SNR) .

zh-cn	首先通过时频分析将信号时域波形转换成二维时频图像以反映信号本质特征;
en-us	Firstly, the signal time-domain wave form is trans-formed into a two-dimensional time-frequency image by time-frequency analysis to reflect the essential characteristics of sig-nal.

zh-cn	然后进行时频图像预处理以保留时频图像完备信息，适应深度学习模型输入;
en-us	Then the time-frequency image pre-processing is carried out to retain the time-frequency image complete information and adapt to the deep learning model input.

zh-cn	最后构建扩张残差网络以自动提取信号时频图像特征，实现雷达辐射源信号分类识别。
en-us	Finally, the DRN is constructed to automatically extract the signal time-frequencyimage features and realize the recognition of radar emitter signal.

zh-cn	实验结果表明，信噪比为-6dB 时，该方法对 16类雷达辐射源信号的整体识别正确率能够达到 98.2% ，对时频图像特征相似的类 LFM( Linear Frequency Modulation) 信号的整体识别正确率超过 95% 。
en-us	Experimental results show that when the SNR is － 6dB, theoverall recognition rate of the proposed method for 16 types of radar signals can reach 98. 2% , and the overall recognitionrate for time-frequency image similar to linear frequency modulation ( LFM) signals is more than 95% .

zh-cn	本文提供了一种新的雷达辐射源信号智能识别方法，具有较好的工程应用前景。
en-us	In this paper, a newintelligent recognition method for radar emitter signal is presented, which has nice engineering application prospects.

zh-cn	针对传统压电发电机固有频率单一，频率采集范围窄和能量采集效率低等缺陷，且无法满足当前无线传感器在特殊工作环境中所需的宽频带和大功率输出。
en-us	Traditional piezoelectric vibration generator has the defects including single natural frequency, narrow workbandwidth and low energy harvesting efficiency, which is unable to meet the wideband and high-power output requirementsof wireless sensor in a special environment.

zh-cn	本文基于模态分离技术提出了一种 3 × n 阵列式压电发电结构，
en-us	A neat 3 × n element energy harvester array exploiting multi-vibration modes separation technique, has been designed, fabricated, and characterized.

zh-cn	并利用 COMSOL 有限元仿真软件对其进行仿真分析，
en-us	The vibration modes of the 3 × n generators have been analyzed by COMSOL software.

zh-cn	优化参数后 3 × 5 阵列式采集系统在低于 50Hz 的频率范围内带宽为 15.6Hz。实验测试结果发现 3 × 5 阵列式发电机的带宽拓宽至 13.8Hz;
en-us	A considerable wideband of 15. 6 Hz in simulation and 13. 8 Hz in experiment with 3 × 5array energy harvester has been gained in a very low frequency range ( below 50 Hz) .

zh-cn	同时在 11Hz 的共振频率下，最优负载电阻值为 350kΩ 时，可获得的最大输出功率为 2.12mW;
en-us	Experimental results showed that theadjusted 3 × 5 array harvester could generate the output power of about 2. 12 mW at an 11 Hz resonant frequency with theoptimum load resistance 350 kΩ.

zh-cn	最后测试其半功率( 1.05mW) 带宽达 15.3Hz。
en-us	Meanwhile, the half-power ( 1. 05 mW) bandwidth could reach up to 15. 3 Hz.

zh-cn	本文所提出的模态分离技术使阵列采集系统的带宽明显提高且输出功率增大，这个优异的输出性能使得其在多源、宽频振动环境中具有明显的优势。
en-us	The band-width and the output power of the array energy harvesting system were significantly improved by exploiting the proposed vi-bration modes separation technique, in which excellent output performance makes it a distinct advantage in multi-source and broadband vibration environments.

zh-cn	随着雷达硬件平台尺寸越来越小、成本越来越低，室内基于雷达的人体动作识别应用已经成为现实，能够在具有简单架构的低成本设备中实现。
en-us	As radar hardware platforms become smaller and cheaper, indoor radar-based motion recognition applica-tions have become reality and can be implemented in low-cost devices with simple architectures.

zh-cn	无载波超宽带雷达具有极高的分辨力，能够捕获人体细微动作变化并且对室内复杂环境具有很强的抗干扰能力。
en-us	The carrier-free ultra-wide-band ( UWB) radar has extremely high resolution, which can capture the slight movement of the human motion and has astrong anti-jamming capability in indoor complex environments.

zh-cn	与基于视频人体动作识别研究相比，超宽带雷达还具有穿透家具、墙体以及保护个人隐私等优点。
en-us	Human motion recognition based on UWB radar compared to video-based also has the advantage of penetrating furniture, walls and protecting personal privacy.

zh-cn	针对雷达回波信号利用传统时频分析方法实现人体动作识别比较耗时、实时性不好的缺陷，引入机器学习方法对不同类型人体动作进行分类识别。
en-us	Aiming at the defectsthat the traditional time-frequency analysis method based on radar realizes the human motion recognition is time-consumingand poor real-time performance, the machine learning method is introduced to classify and recognize different types of hu-man motions.

zh-cn	引入机器学习方法用于超宽带雷达人体动作识别最大难点是只有少量可用的超宽带雷达实测数据样本，
en-us	The biggest difficulty in introducing machine learning methods for UWB radar human motion recognition isthat there are only a few-shot of available UWB radar measured data samples.

zh-cn	针对该问题提出基于主成分分析法( PCA) 和离散余弦变换( DCT) 相结合的人体动作特征提取方法，
en-us	Therefore, a human motion feature extractionmethod based on principal component analysis ( PCA) and discrete cosine transform ( DCT) is proposed.

zh-cn	并利用改进网格搜索算法优化的支持向量机在小样本数据下对人体动作进行识别，
en-us	And the support vector machine ( SVM) optimized by the improved grid search algorithm is used for human motion recognition under few-shot samples.

zh-cn	最后根据实测数据采取三种不同方案进行仿真实验，
en-us	Finally, simulations experiments are performed based on measured data through three different schemes.

zh-cn	结果表明即使在训练数据样本只有 5 组的条件下，基于 PCA 和 DCT 相结合特征提取方法在不同类型人体动作的平均识别率均能达到 96% 以上。
en-us	Under the condition that there are only 5 groups of training data samples, the average recognition rate of human motion recognition can reach more than 96% .

zh-cn	本文基于布尔表达式图( Boolean Expression Diagram，BED) 提出一种可逆电路综合方法。
en-us	A reversible circuit synthesis method based on BED ( Boolean Expression Diagram) is proposed.

zh-cn	该方法使用BED 表示函数，采用逐 BED 结点方式综合可逆电路。
en-us	The pro-posed method utilizes a BED to represent a Boolean function, and synthesizes a reversible circuit through mapping BED nodes to reversible cascades.

zh-cn	在综合一个结点时，通过考虑其子结点函数的值是否还会被后续电路使用，基于由 NOT、CNOT 以及混合极性 Peres 门构成的门库构建该结点的局部最优可逆子电路。
en-us	Using a gate library consisting of NOT, CNOT and mixed-polarity Peres gates, the proposedmethod constructs a locally optimal reversible cascade for each BED node by considering whether the values of the childnodes of this node will be used by subsequent reversible cascades.

zh-cn	为进一步改善所得电路的成本，根据函数表达式的乘积项中变量对的共享度对变量进行分组实现 BED 中变量的排序。
en-us	In order to improve the cost of the circuit synthesized from the BED of a function, according to the sharing of pairs of variables among products of the function expression, variable ordering for the BED is achieved by variable grouping.

zh-cn	使用一组基准函数对所提出方法进行了验证。
en-us	The proposed method is validated using a set of benchmark func-tions.

zh-cn	结果表明所提出方法具有较高时间效率。
en-us	The results show that the proposed method is time efficient.

zh-cn	与现有使用决策图作为函数表示模型的综合方法相比，所提出方法能改善综合所得可逆电路的量子成本，且在许多情况下还能减少量子位数和垃圾线数。
en-us	Compared to the existing reversible circuit synthesis meth-ods using decision diagram as a representation model, the proposed method can improve the quantum cost of the synthesized reversible circuits for almost all of the used benchmark functions, and can also reduce the number of qubits and the number of garbage lines in many cases.

zh-cn	分支数达到最大的二元矩阵被广泛应用到分组密码扩散层的设计中。
en-us	The binary matrix with the largest branch number is widely used in the design of diffusion layers in blockcipher.

zh-cn	本文针对 ARIA 算法的扩散层，首先给出了 ARIA 型扩散结构的定义，给出了 16 阶 ARIA 型扩散结构的分支数情况，
en-us	In this paper, for the diffusion layer of ARIA algorithm, the definition of ARIA diffusion structure is given firstly, andthe branch number of 16-order ARIA diffusion structure is given.

zh-cn	进一步给出了分支数为 8 的 16阶 ARIA 型扩散结构的充要条件，从而构造了一大批可供选择的分支数为 8 的 16 阶二元矩阵。
en-us	The necessary and sufficient conditions for the 16-orderARIA-type diffusion structures with the branch number 8 are further given, and a large number of 16-order ARIA-type diffu-sion structures with the branch number 8 are constructed.

zh-cn	其次，解决了 16 阶ARIA 型扩散结构分支数为 8 的计数问题，
en-us	Secondly, the counting problem of 16-order ARIA-type diffusion structures with the branch number 8 is solved.

zh-cn	最后，给出了分支数为 8 的 16 阶对合 ARIA 型扩散结构的构造方法。
en-us	Finally, the construction methods of the 16-order involution ARIA-type diffu-sion structure are given.

zh-cn	本文的研究成果为构造分支数达到最大的 16 阶对合二元方阵提供了一种新方法。
en-us	The research results of this paper provide a method for constructing 16-order involution binary ma-trix with the largest branch number.

zh-cn	命名实体识别与共指消解均依赖于对实体相邻文本信息的学习，本文提出一种基于混合神经网络的命名实体识别与共指消解联合模型，
en-us	Considering that both named entity recognition and coreference resolution depend on the same context of the entity word, this paper proposes a hybrid neural network model to settle these problems which contains a named entityrecognition ( NER) module and a coreference resolution ( CR) module.

zh-cn	共用双向长短时记忆模型 LSTM 编码层对输入序列中每个词前后方向上下文信息进行编码，
en-us	NER and CR share the same bidirectional LSTM en-coding layer, which is used to encode each input word by taking into account the context on both sides of the word.

zh-cn	并通过训练学习得到上下文信息传递到前馈神经网络 FFNN 模型以提高共指消解精度，
en-us	The con-textual information of entities obtained in BiLSTM encoding layer further pass through to FFNN module to improve the core-ference resolution.

zh-cn	通过将领域文档及篇章语义向量加入 FFNN，改进共指消解算法并优化共指消解模型。
en-us	Furthermore, by adding domain documents and chapter semantic vectors to FFNN, the coreference resolu-tion algorithm is improved and the coreference resolution model is optimized.

zh-cn	基于领域文本数据集进行联合模型训练，实验结果表明该联合模型可以有效地提高共指消解精度。
en-us	Finally, we conduct experiments on the domain dataset to verify the effectiveness of our method. The joint model can effectively improve the accuracy of coreference resolu-tion task.

zh-cn	具有低失真、强鲁棒等特点的直方图数字水印算法，一直是信息隐藏领域研究的热点。
en-us	The histogram shape-based digital watermarking, which has the characteristics of low distortion, strong ro-bustness, and etc, has become a hot topic in information hiding fields.

zh-cn	本文在分析现有直方图数字水印算法的基础上，提出并设计了基于直方图修改的 2Bin 多进制图像水印算法。
en-us	Upon the basic properties of the existing histogramshape-based digital watermarking, a modified histogram shape-based 2Bin M-ary digital watermarking algorithm is designed firstly,

zh-cn	以三进制为例，设计实现了 2Bin 三进制图像数字水印算法。
en-us	and then, a concret ternary digital watermarking as an example of the M-ary system is further implemented. I

zh-cn	在设计的算法中，根据嵌入的水印信息容量和载体图像的大小调整算法嵌入阈值，
en-us	n the de-signed algorithm, the embedding threshold is adjusted according to the embedded watermark information capacity and the sizeof the carrier image.

zh-cn	在维持直方图相邻 2Bin 高低形状不变的情况下，确定修改像素数目以及分块策略，实现水印信息的嵌入和提取操作。
en-us	Under the condition of maintaining the high or low shape of the adjacent 2Bin histogram unchanged, themodified pixel number and the block strategy are determined to realize the embedding and extraction of watermark informa-tion.

zh-cn	实验结果表明，该方法能够智能均衡载体图像质量和水印容量，同现有算法相比，大大提高了水印嵌入容量和水印嵌入后的图像质量，且能抵抗裁剪、旋转等传统的几何攻击和信号处理攻击。
en-us	Experimental results show that this method is able to balance the relationship between image quality and watermark capac-ity intelligently, and that it greatly improves embedding capacity and image quality compared to these existing algorithms, meanwhile equips with the ability to resist the traditional geometric attacks and common image processing operations.

zh-cn	为解决现有算法对社交网络节点影响力计算准确度不高的问题，本文整合节点不同维度信息，综合考虑节点在多个主题社区上的主题分布向量，提出一种新的节点影响力计算模型。
en-us	To solve the accuracy problems of the existing algorithms in calculating the influence of social networknodes, by integrating different dimension information of nodes, and considering the topic distribution vector of nodes on mul-tiple communities, a new model is proposed.

zh-cn	模型首先将主题相关性作为先验信息;然后利用混合隶属度随机块( Mixed Membership Stochastic Block) 模型表达节点间的交互关系，用主题模型学习主题内容;
en-us	It first regards the correlation between topics as the prior information, then uses the mixed membership stochastic block ( MMSB) model to express the interaction among nodes, learns topic contents usingtopic model,

zh-cn	最后结合全局拓扑关系迭代计算节点的全局影响力。
en-us	and finally, iteratively calculates the global influence of nodes with global topological relationship.

zh-cn	本文选取社交网络数据，以 P@ N、MAP 等作为评价指标同现有主流算法进行比较。
en-us	We select da-ta from social networks, use P@ N, MAP, etc. , as the evaluation indicators, and compare the proposed algorithm with the ex-isting mainstream algorithms.

zh-cn	实验结果显示，本文算法有效提升了影响力节点识别的准确度和排名的有效性。
en-us	The experimental results show that our algorithm significantly improves the identification accu-racy of influential nodes and the validity of ranking.

zh-cn	针对能效提升、宏用户干扰减小的问题，该文研究了基于干扰效率最大的异构无线网络顽健资源分配算法。
en-us	To improve energy efficiency and reduce the interference to macro users ( MUs) , this paper studies robustresource allocation for interference efficiency ( IE) maximization in heterogeneous wireless networks.

zh-cn	首先，考虑宏用户干扰约束、微蜂窝用户速率需求约束和最大发射功率约束，将资源优化问题建模为多变量非线性规划问题。
en-us	Firstly, considering themaximum interference power constraint of MU, the minimum rate requirements of femto users ( FUs) and the maximum transmit power constraint of femto base station, the resource allocation problem is modeled as a multivariate nonlinear pro-gramming problem.

zh-cn	其次，考虑有界信道不确定性模型，利用 Dinkelbach 辅助变量方法和连续凸近似方法结合对数变换方法，将原分式规划顽健资源分配问题转换为等价的确定性凸优化问题，并利用拉格朗日对偶算法获得解析解。
en-us	Secondly, under bounded channel uncertainties, the original fractional programming problem is convertedinto a convex optimization problem by using Dinkelbach's method, logarithmic transformation and the successive convex ap-proximation, where the analytical solution is resolved by using Lagrangian dual approach.

zh-cn	理论分析了计算复杂度和参数不确定性对性能的影响。
en-us	And computational complexity andthe cost of robustness are also analyzed.

zh-cn	仿真结果表明该算法具有较好的干扰效率和鲁棒性。
en-us	Finally, simulation results show that the proposed algorithm has better IE and robust-ness.

zh-cn	为改善单相 AC-DC-AC 变换器的性能，提出了一种单相谐振直流环节零电压开关 AC-DC-AC 功率变换器拓扑结构，由图腾柱式单相整流器，位于直流环节的辅助谐振电路和单相全桥逆变器组成。
en-us	In order to improve the performance of the single-phase AC-DC-AC converter, a single-phase resonant DC linkzero-voltage switching AC-DC-AC power converter topology is proposed. It is composed of a totem-pole type single phase rectifi-er, an auxiliary resonant circuit in the DC link and a single-phase full bridge inverter.

zh-cn	利用同一组辅助电路能分别将整流器输出端电压和逆变器输入端电压变化到零，使整流器和逆变器桥臂上的开关器件分别实现零电压切换。
en-us	The output voltage of the rectifier and the input voltage of the inverter can be changed to zero respectively via the same auxiliary circuit and the switching devices on the arm of the rectifier and inverter can achieve zero-voltage switching respectively.

zh-cn	分析了电路的工作流程，
en-us	This paper analyzes the working process of thecircuit.

zh-cn	在 1.2kW 样机上的实验结果表明开关器件完成了软切换。
en-us	The experimental results on the 1. 2kW prototype show that the switching devices achieved soft switching.

zh-cn	该拓扑结构对于研发节能型单相AC-DC-AC 变换器具有借鉴意义。
en-us	The topologicalstructure has reference significance for the development of energy-saving single-phase AC-DC-AC converters.

zh-cn	针对现有密钥策略基于属性加密 KP-ABE( Key-Policy Attribute-Based Encryption) 方案在解密时存在用户端计算开销大、解密时间长等问题，一些方案提出将解密外包给云服务器，
en-us	For most of the existing key-policy attribute-based encryption schemes, there are some problems in the de-cryption, such as the high cost of the client computing, long decryption time and high resource consumption. Some schemes propose outsourcing decryption to cloud servers.

zh-cn	但这些方案并未给出外包解密的并行化方法，存在解密效率低的问题。
en-us	However, these schemes do not give the specific parallelization method of outsourcing decryption in cloud server, and there are problems of low efficiency of cloud decryption.

zh-cn	本文提出一种支持解密外包的 KP-ABE 方案。
en-us	To solve these prob-lems, this paper presents a KP-ABE scheme for decryption outsourcing.

zh-cn	在该方案中，把大部分解密计算外包给Spark 平台;
en-us	In this scheme, most of decryption computation isoutsourced to Spark platform;

zh-cn	并根据 KP-ABE 的解密特点设计并行化解密算法，完成对叶子节点和根节点的并行化解密。
en-us	and according to the decryption characteristics of KP-ABE, a decryption parallelization algo-rithm is designed to complete the parallel decryption of leaf nodes and root nodes.

zh-cn	性能分析表明，用户端仅需进行一次指数运算即可解密出共享数据，同时并行化设计能有效提高云端解密速率。
en-us	The performance analysis shows that mostof decryption computing is done by cloud servers and the client can decrypt the shared data by shared access tree with only once exponential operation, and the parallel design can effectively improve the cloud decryption rate.

zh-cn	有限域上线性互补对偶( LCD) 码具有良好的结构和性质，并在双用户加法器信道中得到了广泛的应用。
en-us	Video object segmentation (VOS)is a research hotspot in the field of computer vision.

zh-cn	自正交码是编码理论中一类重要的线性码，常被用于构造量子纠错码。本文根据有限域上线性码是厄米特 LCD 码或厄米特自正交码的判定条件，通过选取合适的定义集，构造出了四类四元厄米特 LCD 码和厄米特自正交码。同时，本文还研究了这四类线性码的厄米特对偶码，并得到了一些四元最优线性码。
en-us	Traditional VOS based on deep learning fine-tunes the deep network online, which leads to long time-consuming segmentation and is difficult to meet real-time requirements.

zh-cn	针对目前视频压缩感知重构算法对不同特征的视频序列重构质量参差不齐的问题，结合双稀疏对轮廓、细节的高清晰重构以及多假设算法对高频噪声有效抑制的优点，
en-us	The existing approaches to reconstruct compressed video sensing achieve heavy quality fluctuation when re-constructing videos with different motion feature. To solve this problem, combing the merits of two CS(Compressed Sens-ing)methods:the clearly edges and fine details reconstruction of the dual sparsity representation and the effectively high fre-quency noise suppression of multi-hypothesis prediction,

zh-cn	本文提出一种基于视频运动特征的多假设-双稀疏重构算法(VF-MH-DSR)。
en-us	this paper proposes a video motion features based multi-hypothesis-dual-sparsity reconstruction algorithm(VF-MH-DSR)for compressed video sensing(CVS).

zh-cn	基本思路是基于每个视频组(GOP)的运动特征，采取相应的多假设-双稀疏重构策略。
en-us	The basic thinking of VF-MH-DSR is that adopting a corresponding MH-DSR method to each video group(GOP)based on their motion features.

zh-cn	首先给出一种观测域多维度参考帧的多假设重构算法(MD-MRF-MH)及其最优相似块个数设置方案;
en-us	In our approach, we firstly develop a multi-hypothesis reconstruction algorithm based on multi-dimension reference frames in meas-urement domain(MD-MRF-MH)and a kind of setting scheme for optimal similar block.

zh-cn	然后给出一种像素域多假设参考帧的重构算法(PD-MRF-MH)及一种高性能双匹配准则;
en-us	Then, multi-hypothesis reconstruc-tion algorithm based on multi-dimension reference frames in pixel domain(PD-MRF-MH)and a double matching criterionto improve matching accuracy are proposed.

zh-cn	最后介绍了视频信号运动特征判定方案及多假设-双稀疏重构的具体实现方案。
en-us	Finally, we develop a strategy to determine the video motion feature and intro-duce the scheme of multi-hypothesis-dual-sparsity reconstruction.

zh-cn	仿真实验表明，本文所提多假设-双稀疏重构算法相对于目前较好的多假设预测重构算法 2sMHR 及组稀疏重构算法 SSIM-InterF-GSR，重构性能平均提升了 1.98dB 和 0.84dB。
en-us	Simulation results show that the proposed VF-MH-DSRoutperforms the existing state-of-art compressed video sensing reconstruction algorithms 2sMHR and SSIM-InterF-GSR by1. 98dB and 0. 84dB respectively.

zh-cn	文章阐述了用精确的 GaN Angelov 模型设计了一款 L 波段 400W 内匹配率放大器。
en-us	This paper describes a L-band 400W gallium nitride (GaN)internally matched power amplifier using anaccurate large signal Angelov model.

zh-cn	选用 SiC 衬底的GaN 器件是为了获得大功率输出以及高效率性能。
en-us	The large gate-periphery GaN devices on SiC substrate are used for achieving the largeoutput power and high efficiency.

zh-cn	为了精确设计放大器，采用脉冲 I-V 测试和多偏置的 S 参数测试建立起高压 GaN 大信号模型。
en-us	For designing exactly the power amplifier, the large signal GaN model is founded using measured pulse I-V and S parameters of different bias conditions.

zh-cn	采用模型设计的 GaN 放大器输入输出电路集成在 17.4mm × 24mm 的封装管壳里。
en-us	Based on the large signal model, the input and outputmatching circuits and one 55mm GaN transistor are integrated in a 17. 4mm × 24mm ceramic package.

zh-cn	最终采用单枚 55mm 栅宽 GaN 管芯设计的放大器在 48V 漏压，100μs 脉宽，10% 占空比偏置下在 1.2 ～ 1.4GHz 输出功率大于400W，功率增益大于 15dB，最高功率附加效率达到 81.3% ，
en-us	The amplifier finallyhas the pulse output power of over 400W, the power gain of over 15dB across the band of 1. 2-1. 4GHz and the max power added efficiency is 81. 3% under the pulse drain bias voltage (Vds)of 48V, the duty is 10% with the pulse width of 100μs.

zh-cn	这是国内 L 波段 400W 微波功率放大器的最高效率报道，验证了模型的准确度，实现了极好的电路性能。
en-us	The results show that the character of realized amplifier is consistent with the simulation result, which fully indicatesthe veracity of the developed model. And this is the most highest efficiency of a 400W power amplifier achieved in L-band.

zh-cn	DKCHER 算法是基于超扩展规则的求差知识编译算法。
en-us	DKCHER is a knowledge compilation algorithm of computing difference based on hyper extension rule.

zh-cn	本文首先研究了 DKCHER 算法的执行流程，并定义了互补量的概念，
en-us	We study on the executing process of DKCHER algorithm in this paper, and define the concept of complementary amount.

zh-cn	然后设计了启发式策略 MACR(maximum complementary amount of clauses with middle result)，用于动态选择与中间结果互补量最大的子句。
en-us	We design MACR (maximum complementary amount of clauses with middle result)heuristics based on complementary a-mount, which is used to dynamically select the clause of maximum complementary amount with middle result.

zh-cn	针对互补展开过程，设计了动态启发式策略 CAL(optimal sequence sortedby complementary amount of literals)，将互补展开中的文字按照与输入公式互补量的大小进行排序并展开。
en-us	For comple-mentary unfolding in DKCHER, we design dynamic heuristics CAL (optimal sequence sorted by complementary amount ofliterals), which sort the literals in complementary unfolding based on their complementary amounts.

zh-cn	将上述两种启发式策略与 DKCHER 算法相结合，分别设计了 MACR_DKCHER 算法、CAL_DKCHER 算法和 MACR_CAL_DKCHER算法。
en-us	Combining the above two heuristic methods with DKCHER, MACR_DKCHER algorithm, CAL_DKCHER algorithm and MACR_CAL_DKCHERalgorithm are designed.

zh-cn	实验结果表明，MACR 启发式策略能够提升 DKCHER 算法的编译效率和编译质量，
en-us	Experimentally, MACR heuristics improves the compilation efficiency and compilation quality ofDKCHER.

zh-cn	编译效率最高可提升 9 倍，编译质量最高可提升 1.9 倍;
en-us	MACR heuristics can improve the efficiency of DKCHER by 9 times in the best case.

zh-cn	CAL 启发式策略在子句数和变量数比值较大的实例上，能够提高 DKCHER 算法的编译效率，但会降低 DKCHER 算法的编译质量;
en-us	CAL heuristics can signifi-cantly improve the compilation efficiency of DKCHER on the instances with big ratio of clause number with variable num-ber.

zh-cn	MACR_CAL 启发式最高可将 DKCHER 算法的编译效率提高 12 倍，但会导致 DKCHER 算法的编译质量有所降低。
en-us	MACR_CAL heuristics can improve the efficiency of DKCHER by 12 times in the best case. But MACR_CAL heuris-tics reduces the compilation quality of DKCHER.

zh-cn	频控阵(frequency diverse array)雷达存在角度和距离定位模糊的问题，
en-us	Frequency diverse array radar has the problem of ambiguity in angle and range localization.

zh-cn	基于频控阵与早期的多频连续波(multi-frequency continuous wave)雷达相同的测距原理，提出了改进的多频连续波雷达模型，通过采用相控阵接收的方式，克服了传统频控阵角度和距离定位模糊的问题。
en-us	Based on the same ranging principle as early multi-frequency continuous wave radar, a model for the multi-frequency continuous wave(MFCW)radar is proposed, which overcomes the ambiguity of the angle-range beam pattern of the traditional frequency di-verse array (FDA).

zh-cn	根据收发阵元数的不同，推导了四种配置下的信号模型，分析了多频连续波雷达相比传统频控阵可解耦角度与距离定位模糊的原因。
en-us	The signal models of the MFCW radar under four operating modes are deduced according to the numberof transmitting and receiving elements, and the reason for the decoupled angle-range localization is analyzed compared with the traditional FDA.

zh-cn	新的多频连续波雷达实现定位的本质为三维多频估计问题，为此提出了一种基于迭代插值傅里叶系数(iterative interpolation Fourier coefficients))的角度-距离联合估计方法，理论分析了算法的性能。
en-us	A joint angle-range localization method based on iterative interpolation Fourier coefficients (IIFC)is proposed for the single-input multiple-output (SIMO)mode. The performance of the algorithm is analyzed theoretically.

zh-cn	仿真结果验证了所提方案与算法的有效性。
en-us	Simulation results show the effectiveness of the proposed scheme and the algorithm.

zh-cn	本着文化自信的精神，深入学习具有三千多年历史的《易经》，挖掘《易经》形象思维的抽象和推理的理念，结合现代计算机学科的发展和作者本身的专业经历，给出了计算机系统设计策略三十六计和算法三十六计的初步成果。
en-us	In the spirit of cultural confidence, this paper presents thirty-six stratagems of schemes and thirty-six strata-gems of algorithms for computer system design after learning I Ching in depth and digging out the abstract and inferentialconcepts of the image thinking of I Ching. which combines the development of modern computer science and the author's own professional experience.

zh-cn	本文提出了计算机学科的四个基本对立统一关系，即四个基本科学问题:集分定位、刚柔相摩、供需相应、串并转换。
en-us	It proposes four basic relations of unity of opposites in computer science (i. e. , four basic sci-entific problems), which include: the positioning of centralization and decentralization, the interaction of hardness and soft-ness, supply-demand correspondence and serial-to-parallel conversion.

zh-cn	从集分定位出发，在策略三十六计中提出了架构设计十八计，它包括了时空转换和多种计算模式的计策。
en-us	From the perspective of the positioning of centraliza-tion and decentralization, eighteen stratagems of architecture design are proposed in the thirty-six stratagems of algorithms, which include the stratagems of time-space transformation and various computing modes.

zh-cn	从刚柔相摩出发，在策略三十六计中提出了系统特性十八计，它包括了八类特性设计的计策，例如，可控性、效率性、安全性、可变性等方面的计策。
en-us	From the perspective of the interac-tion of hardness and softness, eighteen stratagems of system features are proposed in the thirty-six stratagems of schemes, which include the stratagems of designing eight kinds of features, such as controllability, efficiency, security and variability.

zh-cn	供需相应和串并转换所涉及的科学问题，主要体现在资源管理和任务调度的算法三十六计中。
en-us	The scientific problems involved in supply-demand correspondence and serial-to-parallel conversion are mainly embodied inthe thirty-six stratagems of algorithms for resource management and task scheduling.

zh-cn	这些算法计策中包含了计算机学科的经典和热点问题，例如，可计算性、多目标优化、云计算、软件定义系统、大数据思维和人工智能等。
en-us	These algorithms and schemes includeclassic and hot issues in computer science, such as computability, multi-objective optimization, cloud computing, software de-fined system, big data thinking and artificial intelligence.

zh-cn	策略三十六计和算法三十六计可以为计算机专业人员在学习和系统研发工作中提供思维框架、策略辩证思路和需要的计策及实例，
en-us	The thirty-six stratagems of schemes and thirty-six stratagems of al-gorithms can provide computer professionals with thinking framework, dialectical thinking and necessary stratagems and in-stances in learning and developing computer systems.

zh-cn	更为重要的是可以进一步理解事物的哲学道理。
en-us	More importantly, they can help the computer professionals further un-derstand the philosophical principles of things.

zh-cn	现有的可公开验证的匿名基于身份的加密(Identity-Based Encryption，IBE)机制声称解决了在静态困难性假设之上构造紧的选择密文安全的 IBE 机制的困难性问题。
en-us	How to create an identity-based encryption (IBE)scheme with tight chosen-ciphertext attacks (CCA)se-curity based on the static assumption is an open problem. A publicly verifiable anonymous IBE scheme designed in the stand-ard model claimed that the CCA security of proposed scheme was proved based on the classic static assumption.

zh-cn	然而，本文发现，由于该机制的密文不具备防扩展性，使得任何敌手可基于已知的有效密文生成任意消息的合法加密密文，导致该机制无法满足其所声称的选择密文安全性。
en-us	However, in this paper, we demonstrate that the previous IBE scheme cannot achieve the claimed CCA security because the ciphertext wasextensile. In other words, a valid encrypted ciphertext can be forged by any adversary from a known ciphertext.

zh-cn	我们根据不同的密文相等判定条件分别提出两种方法对原始方案的安全性进行了分析，同时在分析基础上指出原始安全性证明过程中所存在的不足。
en-us	To analyze the security of the previous IBE scheme, two methods are proposed based on the criterion of ciphertext equality. Additional-ly, based on the analysis of the previous IBE scheme, we point out the shortcomings of the original security proof.

zh-cn	GPS (Global Positioning System)在新一代卫星载荷中采用了大量新技术，
en-us	GPS III (Global Positioning System)satellites have adopted a large number of new technologies in pay-load.

zh-cn	首颗卫星成功发射后，官方尚未系统公布各导航信号的调制方式、复用方法等关键信息，因而其在轨测试阶段的空间信号质量评估具有重要的意义。
en-us	After the successful launch of the first satellite, the official has not yet published effective information such as the mod-ulation method of each navigation signal and multiplexing method. Therefore, it is meaningful to evaluate the signal-in-spacequality.

zh-cn	该文选择地面接收功率、功率分配、相位关系、调制特性和测距性能等评估参数，
en-us	In this paper, the evaluation parameters such as ground receiving power, signal component power distribution, phaserelationship, modulation characteristics and ranging biases were selected.

zh-cn	深入分析了 GPS III 卫星 L1 频点空间信号质量，剖析了该卫星上多种新技术的信号特征。
en-us	Signal-in-space quality of GPS III satellite L1 fre-quency was analyzed comprehensively, and the characteristics of various new technologies adopted by the satellite were ana-lyzed.

zh-cn	论文成果对其它 GNSS(Global Navigation Satellite System)卫星载荷设计及信号体制设计等方面具有重要的参考意义。
en-us	The results of this paper have important technical reference value for other GNSS (Global Navigation Satellite Sys-tem)satellite payload design and signal system design.

zh-cn	基于数字信号传播理论中的反射原理，采用反射系数刻画线路阻抗不匹配程度，利用线路阻抗匹配时测量得到的信道数据(直接信道、远端串扰信道和近端串扰信道)，建立了一个 G. fast 数字用户线路阻抗不匹配时信道数学模型。
en-us	Based on the reflection principle of digital signal propagation theory, a mathematical model of G. fast chan-nel is established when the impedance of digital subscriber line is not matched. The reflection coefficient is used to describethe line impedance mismatch and the channel data (direct channel, far-end crosstalk channel and near-end crosstalk channel)measured when line impedance matching are used in the model.

zh-cn	当线路终端处于断开时，利用该模型生成的信道数据与实际测量的信道数据基本吻合，证明了该模型的正确性。
en-us	When the terminal is disconnected, the channel data calculat-ed by the model is consistent with the actually measured data, which proves the accurateness of the model.

zh-cn	由于采用反射系数刻画线路阻抗不匹配程度，该信道模型可仿真终端设备在不同阻抗值的情况下对通信系统信噪比的影响，从而提出线路终端设备阻抗最大允许的变化范围，为终端设备制造商在阻抗设计时提供一定的理论指导。
en-us	Since the reflec-tion coefficient is used to describe the degree of impedance mismatch, the model can simulate the influence of the terminal e-quipment on the signal noise ratio of the communication system under different impedances. Therefore, we propose a maxi-mum allowable variation range of the terminal impedance which provides some theoretical guidance for terminal manufactur-er for designing terminal impedance.

zh-cn	数据保持力是 NAND 闪存重要的可靠性指标，
en-us	Data retention is an important reliability characteristic of NAND flash memory.

zh-cn	本文基于用户在使用模式下，通过设计测试方法，研究了电荷捕获型 3D NAND 闪存初始阈值电压 －2V 至 3V 的范围内数据保持力特性。
en-us	Based on the user mode, this paper studies the data retention characteristics of charge trapping 3D NAND flash memory under different initial condi-tions.

zh-cn	结果表明初始状态为编程态时，可以有效降低 NAND 闪存高温数据保留后的误码率，
en-us	The results show that device programmed can effectively reduce the bit error rate after high-temperature data retentionof NAND flash memory.

zh-cn	特别是随着擦写次数的增加，不同初始状态下电荷捕获型 3D NAND 闪存数据保持力差异更加明显，
en-us	Especially with the increase of the number of erasing and writing, the data retention of charge-trap-ping 3D NAND flash memory is more obvious under different initial conditions.

zh-cn	结论表明闪存最适宜存放的状态为 0 － 1V，电荷捕获型 3D NAND 闪存器件应避免长期处于深擦除状态。
en-us	The result shows that the flash memory ismost suitable for storage 0-1V, charge-trapping 3D NAND flash devices should avoid long-term deep erase conditions.

zh-cn	并基于不同初始状态闪存高温数据保留后的数据保持力特性不同的现象进行了建模和演示，
en-us	In ad-dition, modeled and demonstrated based on the phenomenon the threshold voltage offset after the high-temperature data re-tention of the flash memory is increased when initial state is erase state.

zh-cn	通过设计实验验证，机理解释模型符合实验结果。
en-us	Through the design experiment, the mechanism fac-tor model accords with the experimental result.

zh-cn	该研究可为电荷捕获型 3D NAND 闪存器件的长期存放状态提供理论参考。
en-us	This study provides a theoretical reference for the long-term storage of charge-trapping 3D NAND flash devices.

zh-cn	由于最近邻查询算法一般需要较高时间和空间代价，往往不能满足大数据查询的需要。
en-us	Many nearest neighbor query algorithms often fail to meet the query requirements on big data due to theirhigh time and space cost.

zh-cn	哈希技术可以大幅度减少查询时间和存储空间，其主要思想是将原始空间中的高维数据映射成为一组编码，且满足保相似性原则。
en-us	Hash query technology can significantly reduce not only query time, but also required storage cost. The main principle is to map the high-dimensional data into a set of binary codes with locality preserved.

zh-cn	现有的大部分哈希方法一般认为哈希编码的各维度权重相同。
en-us	However, most ex-isting hashing methods do not consider the weight differences between the binary bits when calculating the Hamming dis-tances between those binary codes from data.

zh-cn	然而在实际情况中，不同的维度往往携带有不同的信息。
en-us	Generally, different hashing bits may contain different amount of information.

zh-cn	为此，本文提出了新的算法，为编码的每个维度分配权重，并提出了对应的量化编码方式。
en-us	Focusing on the above issue, this paper proposes WQ (Weighted Quantization)that will assign different weights for each bitof the binary code, as well as a corresponding quantization method.

zh-cn	理论证明了算法的可行性，在真实数据集下与其他哈希算法对比实验也验证了该算法的有效性。
en-us	Experimental results show that WQ algorithm has superi-or performance of data retrieval compared with several other hashing methods.

zh-cn	本文将直觉模糊集与反向三 I 算法结合起来，研究了直觉模糊推理 a － 反向三 I 算法，给出了 IFMP、IF-MT 问题的直觉模糊推理 a － 反向三 I 算法解的表达形式和分解形式。
en-us	We combine reverse triple I methods with intuitionistic fuzzy set, and investigate intuitionistic fuzzy infer-ence a － reverse triple I methods. The expression form and decomposition form of solutions of intuitionistic fuzzy inferencea － reverse triple I methods based on IFMP and IFMT problems are given.

zh-cn	其次，借助双剩余，定义了直觉模糊集间的相似度，给出了直觉 Dukasiewicz 蕴涵、直觉 G del 蕴涵、直觉 Goguen 蕴涵、直觉 R0蕴涵的相似度，并分析了它们之间的关系。
en-us	Then, similarity between intuitionistic fuzzy setsare defined by biresiduum, the similarity of intuitionistic Dukasiewicz implication, intuitionistic G del implication, intuitionis-tic Goguen implication, intuitionistic Roimplication are provided, furthermore, their relationship are analysed.

zh-cn	最后，利用直觉模糊集上的相似度作为扰动参数，讨论了直觉模糊推理 a － 反向三 I 算法的鲁棒性，
en-us	Finally, taking similarity on intuitionistic fuzzy sets as perturbation parameters, robustness of intuitionistic fuzzy inferencea － reverse triple Imethods are discussed,

zh-cn	特别是，针对以上四种剩余型蕴涵算子，得到了直觉模糊推理 a － 反向三 I 算法的一些关于鲁棒性的结论。
en-us	in particular, for four kinds of residual implications, some results concerning robustness of intuitionis-tic fuzzy inference a － reverse triple I methods are obtained.

zh-cn	为改善以绝缘栅双极型晶体管(Insulated Gate Bipolar Transistor，IGBT)作为开关器件的单相全桥逆变器的效率，提出了一种节能型单相全桥零电流开关谐振极逆变器，在每个桥臂上分别并联 1 组辅助电路。
en-us	In order to improve the efficiency of single-phase full-bridge inverter with insulated gate bipolar transistor(IGBT)as switching devices, a energy-saving single-phase full-bridge zero-current switching resonant pole inverter is pro-posed. A set of auxiliary circuit is connected with parallel on each bridge arm.

zh-cn	在工作过程中，主开关和辅助开关都能完成零电流软切换，可消除 IGBT 拖尾电流造成的关断损耗。
en-us	In the working process, both the main switchesand the auxiliary switches can achieve zero-current soft-switching , which can eliminate the turn-off loss caused by the tailcurrent of IGBT.

zh-cn	分析了电路工作过程，在 2kW样机上的实验结果表明开关器件实现了零电流软切换。
en-us	The working process of the circuit is analyzed. The experimental results on the 2kW prototype show that theswitching devices achieve zero-current soft-switching.

zh-cn	因此，该拓扑结构可实现以 IGBT 作为开关器件的单相全桥逆变器的节能运行。
en-us	Therefore, the topology can realize the energy-saving operation of thesingle-phase full-bridge inverter with IGBT as the switch devices.

zh-cn	本文提出一种新的基于张量表示的域适配迁移学习中的特征表示方法，即融合联合域对齐和适配正则化的基于张量表示的迁移学习特征表示方法。
en-us	A novel feature representation based on tensor and domain adaption for transfer learning is proposed, which combines joint domain alignment and adaptation regularization.

zh-cn	当源域和目标域差异很大时，仅将源域对齐潜在共享空间，会造成数据扭曲过大。
en-us	When the difference between the source domain and the tar-get domain is very large, only aligning the source domain to the potential shared subspace will result in too much data distor-tion.

zh-cn	为缓解此问题，本文方法提出联合域对齐，即源域和目标域同时对齐共享子空间。
en-us	To alleviate this problem, this paper proposes joint domain alignment, which aligns the source domain and the target do-main to the potential shared subspaces simultaneously.

zh-cn	并且本文方法将适配正则化引入张量表示空间求解。
en-us	Furthermore, the adaption regularization is introduced into the sub-space learning based on tensor.

zh-cn	本文适配正则化包括动态分布对齐和图适配，以缩小域间分布差异和保留样本间流行一致性。
en-us	In the proposed method, adaptation regularization includes dynamic distribution alignment andgraph adaptation to reduce the distribution differences among different domains and preserve the manifold consistency.

zh-cn	最后融合联合域对齐，动态分布对齐和图适配，通过联合优化求解获得共享子空间表示。
en-us	Final-ly, the joint domain alignment, dynamic distributed alignment and graph adaptation are fused, and the joint optimization is u-tilized to obtain the feature representation.

zh-cn	几个公共的跨域数据集上的大量实验结果表明了本文方法优于其它主流的迁移学习方法，验证了本文方法的有效性。
en-us	Extensive experiments on several common cross-domain datasets show that the proposed method outperforms the state-of-the-art on the tasks of transfer learning and the effectiveness of the proposed meth-od is verified.

zh-cn	人们常用均匀背景、多目标和杂波边缘 3 种典型背景来衡量雷达目标检测器的性能，
en-us	The performance evaluation of radar target detector is often carried out in 3 typical environments of homo-geneous background, multiple targets situation and clutter edge.

zh-cn	但在现有文献中缺乏量化秩(Rank Quantization，RQ)非参数检测器在杂波边缘中虚警概率的理论模型，缺乏 RQ 非参数检测器与经典的参量型检测器在杂波边缘中虚警控制能力的比较。
en-us	However, there is a lack of the mathematical model of thefalse alarm rate for the rank quantization (RQ)nonparametric detector at clutter boundaries, and lack of a comparison of theability for the RQ detector to control the rise of the false alarm rate at clutter edges to that of the conventional parametricCFAR schemes.

zh-cn	本文给出了 RQ 检测器在杂波边缘中虚警概率的解析表达式，并比较了它与非相干积累 CA (Cell Averaging)，GO (Greatest Of)，OS (Ordered Statistic)恒虚警方法在杂波边缘中的虚警控制能力。
en-us	The analytic expression of the false alarm rate Pfafor the RQ nonparametric detector at clutter edges was de-rived in this paper, and the ability of the RQ nonparametric detector to control the rise of the false alarm rate at clutter edgeswas compared to that of the cell averaging (CA)CFAR, the greatest of (GO)CFAR and the ordered statistic (OS)CFARwith incoherent integration.

zh-cn	可以看出，采用高秩量化门限的 RQ 检测器的虚警控制能力要优于低秩量化门限的情况，在瑞利分布杂波边缘情况下，RQ 检测器的虚警控制能力与非相干积累 OS 方法接近。
en-us	It is shown that a high rank quantization threshold results in a low rise of the false alarm rate atclutter edges, and the rise of the RQ nonparametric detector at clutter edges is close to that of the OS-CFAR with incoherent integration in the Rayleigh distributed clutter environment.

zh-cn	但是当强杂波变为长拖尾分布的非高斯杂波时，非相干积累 CA，GO 和 OS 参量型检测方法的虚警概率产生了 3 个数量级以上的上升，且不能降回到原始设定的虚警概率。
en-us	However, when a non-Gaussian distributed clutter with a long tailmoves into the reference window, the rise of the CA-CFAR, the GO-CFAR and the OS-CFAR with incoherent integrationreaches a peak of more than 3 orders of magnitude, and can not return to the pre-designed Pfain Rayleigh noise situation.

zh-cn	而 RQ 检测器显示出了非参量检测器的优势，即当杂波背景的分布类型发生变化后，它仍然可以保持虚警概率的恒定。
en-us	Butthe RQ nonparametric detector exhibits its inherent advantage in such situation, it can maintain constant false alarm rate eventhe distribution type of clutter changes to a different one.

zh-cn	面对复杂场景下异常事件检测的准确率偏低的情况，本文提出一种基于深度学习的异常事件检测方法，并将此方法扩展为异常事件分类方法。
en-us	Faced with low accuracy of abnormal event detection in complex scenarios, this paper proposes an abnor-mal event detection based on deep learning in various public scenes and multiple types of anomalies, and the method has been extended to an abnormal event classification method.

zh-cn	利用神经网络模型提取特征，将群体发散聚集事件，群体密集聚集事件，群体逃散事件和追赶事件这 4 种异常事件进行检测和分类。
en-us	The neural network model is used to extract features, and the fourkinds of abnormal events, such as group divergence aggregation events, group intensive aggregation events, group escape e-vents and catch-up events, are detected and classified.

zh-cn	通过 PKU-SVD-B 测试集对训练出来的模型进行测试实验，并在 UMN 数据集上与几种方法做了对比实验，验证了本文提出的基于深度学习的异常事件检测算法，
en-us	Test the trained model with PKU-SVD-B test set, compared with vari-ous methods on the UMN datasets, and verify the algorithm of abnormal event detection based on deep learning proposed in this paper.

zh-cn	在适应多种不同场景的前提下，对多种异常事件检测的准确率很高，表明训练出来的模型对异常事件检测具有极强的泛化能力。
en-us	Under the premise of adapting to different scenarios, various abnormal events are detected. The high accuracy rateindicates that the trained model has strong ability to generalize abnormal event detection.

zh-cn	现有的基于深度学习的文本分类方法没有考虑文本特征的重要性和特征之间的关联关系，影响了分类的准确率。
en-us	The existing text classification methods based on deep learning do not consider the importance and associa-tion of text features.

zh-cn	针对此问题，本文提出一种基于高效用神经网络(High Utility Neural Networks，HUNN)的文本分类模型，可以有效地表示文本特征的重要性及其关联关系。
en-us	The association between the text features perhaps affects the accuracy of the classification. To solve thisproblem, in this study, a framework based on high utility neural networks (HUNN)for text classification were proposed. Which can effectively mine the importance of text features and their association.

zh-cn	利用高效用项集挖掘(Mining High Utility Itemsets，MHUI)算法获取数据集中各个特征的重要性以及共现频率。
en-us	Mining high utility itemsets(MHUI)fromdatabases is an emerging topic in data mining. It can mine the importance and the co-occurrence frequency of each feature inthe dataset.

zh-cn	其中，共现频率在一定程度上反映了特征之间的关联关系。
en-us	The co-occurrence frequency of the feature reflects the association between the text features.

zh-cn	将 MHUI 作为HUNN 的挖掘层，用于挖掘每个类别数据中重要性和关联性强的文本特征。
en-us	Using MHUI as themining layer of HUNN, it is used to mine strong importance and association text features in each type, select these text fea-tures as input to the neural networks.

zh-cn	然后将这些特征作为神经网络的输入，再经过卷积层进一步提炼类别表达能力更强的高层次文本特征，从而提高模型分类的准确率。
en-us	And then acquire the high-level features with strong ability of categorical representationthrough the convolution layer for improving the accuracy of model classification.

zh-cn	通过在 6 个公开的基准数据集上进行实验分析，提出的算法优于卷积神经网络(Convolutional Neural Networks，CNN)，循环神经网络(RecurrentNeural Networks，RNN)，循环卷积神经网络(Recurrent Convolutional Neural Networks，RCNN)，快速文本分类(Fast TextClassifier，FAST)，分层注意力网络(Hierarchical Attention Networks，HAN)等 5 个基准算法。
en-us	The experimental results showed that the proposed model performed significantly better on six different public datasets compared with convolutional neural networks(CNN), recurrent neural networks (RNN), recurrent convolutional neural networks (RCNN), fast text classifier (FAST), and hierarchical attention networks (HAN).

zh-cn	现有谱峰搜索算法在应用于连续毫米波雷达后端中频信号处理时，或计算量较大，或精度不高。
en-us	Aiming at the problems existing in the application of existing peak search algorithm to back-end IF(Inter-mediate Frequency)signal processing of continuous millimeter wave radar, such as heavy computation, low precision,

zh-cn	本文针对该问题，提出一种可有效提取信号峰值频率信息的快速算法，进而实现连续毫米波雷达的快速准确测速测距。
en-us	a fast algorithm to extract the peak of signal frequency information is proposed, by which high-efficiency and high-precision meas-urements of the speed and distance for continuous millimeter wave radar is realized.

zh-cn	该算法借助压缩感知原理，通过构建欠定方程，并计算少量内积，实现高效捕捉信号频率值。
en-us	By means of the principle of compressedsensing, an underdetermined equation is constructed in the algorithm, and with a few inner product, the frequency correspond-ing to the actual spectral peak of the intermediate frequency signal is captured at a low computational complexity level.

zh-cn	数值结果表明，此算法具有运算量小、计算精度高等特点，可为当今智能交通领域中的高精度测速测距提供一种快速解决方案。
en-us	Nu-merical results show that the algorithm can obtain an accurate calculation result with small calculation amount, thus providing a fast solution for high-precision speed measurement and ranging in the field of intelligent transportation.

zh-cn	量子资源理论研究的一个中心问题是为具体的资源提供操作性解释，
en-us	In the study of quantum resource theories, one of the central problems is to provide an operational meaning for a given resource.

zh-cn	即在完成某种量子信息处理任务时资源态比任何非资源态更有优势。
en-us	In the provided quantum information processing task, every resource state provides an advantage com-pared to the case where all resourceless states are used.

zh-cn	最近，Theurer 等人［T Theurer，et al.Phys Rev Lett 119，230401 (2017)］通过扩展相干资源理论建立了严格的叠加资源理论框架。
en-us	Recently, Theurer et al. ［T Theurer, et al. Phys Rev Lett 119, 230401(2017)］introduced a rigorous resource theory framework for the quantification of superposition through generalizing of re-source theories of coherence.

zh-cn	在叠加资源理论框架下，本文利用 Holevo-Helstrom 定理定量地刻画单量子比特叠加态在不同类型的量子操作区分任务中的优势，
en-us	Under the framework, we show that every one-qubit superposition state provides an advantagein different channel discrimination, quantified in terms of the Holevo-Helstrom theorem.

zh-cn	即计算得到叠加态辅助量子操作区分的最大成功概率大于非叠加态辅助时的值。
en-us	Then, the maximum probability of success in superposition-assisted channel discrimination has been calculated, which is larger than the value of maximumprobability of success in no superposition-assisted channel discrimination.

zh-cn	这些定量结果还表明，在相同的叠加态辅助下，不同类型的操作(自由操作与非自由操作)之间最易于区分，
en-us	Our results contribute to understanding the discrim-ination relevance of channels:assisting by the unique coherent state, different kinds of channels are most distinguishable,

zh-cn	而相同类型的量子操作之间，非自由操作之间的区分易于自由操作的区分。这一结果为新型量子安全通信协议的设计提供了新的依据。
en-us	and different coherent channels are more distinguishable than different incoherent channels.

zh-cn	宽带压缩频谱检测存在依赖稀疏度先验信息和信号重构时延较高的问题。
en-us	Wideband compressed spectrum sensing has the problem of relying on sparsity prior information and high signal reconstruction delay.

zh-cn	因此，本文提出了一种高效可靠的宽带压缩频谱检测方案。
en-us	Therefore, this paper proposes an efficient and reliable wideband compressed spectrum sensingscheme.

zh-cn	首先，推导出了基于二项分布精确置信区间改进的稀疏度估计模型。
en-us	Firstly, the sparsity estimation model based on the improved confidence interval of binomial distribution is derived.

zh-cn	其次，利用稀疏度估计上下界改进了稀疏度自适应匹配追踪算法。
en-us	Secondly, using the sparsity estimation upper and lower bounds improves the sparsity adaptive matching pursuit algorithm.

zh-cn	最后，提出了一种宽带压缩频谱检测方案。
en-us	Finally, a wideband compressed spectrum sensing scheme is proposed.

zh-cn	仿真结果表明，本文所提出方法可以同时精确的估计信号稀疏度的上下界，提高了频谱检测的效率和可靠性，加快了算法的收敛速度。
en-us	The simulation results show that the proposed methodcan accurately estimate the upper and lower bounds of signal sparsity at the same time, improve the efficiency and reliabilityof spectrum sensing, and accelerate the convergence speed of the algorithm.

zh-cn	为了缓解 Web 服务推荐中存在的冷启动和数据稀疏问题，以及满足用户个性化的需求，本文提出了基于混杂社会网络的 Web 服务推荐框架及算法。
en-us	To ease cold start and data sparsity problems in web service recommendation, and satisfy user's personal-ized requirements, we propose a web service recommendation framework and algorithms based on heterogeneous social net-work.

zh-cn	该网络加入了服务提供者这一元素，可提供更多的真实信息，有助于缓解冷启动问题。
en-us	Web service provider, as an element in the network, could provide more real information to help relieve cold start.

zh-cn	根据提出的服务推荐框架，设计了用户-候选服务信任值预测算法(Computing Trust Value，CTV)，以及服务推荐算法(Recommend Queue，RQ)。
en-us	Based on the proposed recommendation framework, we design CTV (Computing Trust Value)algorithm to predict trust val-ue of user to candidate service and RQ (Recommend Queue)algorithm to recommend services.

zh-cn	在真实数据集上建立实验，结果表明本文提出的方法在预测准确率 MAE、RMSE，推荐准确率 MAP、NDCG，以及填充率和覆盖率上都有所提高，有助于提升个性化推荐的性能。
en-us	At last, we conduct a seriesof experiments based on real data set. The results indicate that the proposed method outperforms the existing methods at themetrics of MAE, RMSE for predictive accuracy, MAP, NDCG for recommendation accuracy, and filling ratio and coverageratio, and it is helpful to improve personalized recommendation performance.

zh-cn	在线流特征选择通过实时过滤无关特征和冗余特征，实现流特征空间降维。
en-us	Online streaming feature selection achieves stream feature space dimensionality reduction by filtering irrele-vant features and redundant features in real time.

zh-cn	针对已有算法，如 Alpha-in-vesting 分类精度低、SAOLA 选择特征数多和 OSFS 在低冗余高相关数据集下运行时间长的问题，
en-us	Existing works, such as Alpha-investing and Online Streaming Feature Se-lection (OSFS), have been proposed to serve this purpose, but they have drawbacks, including low prediction accuracy and high running time if the streaming features exhibit characteristics such as low redundancy and high relevance.

zh-cn	提出了一种面向分类的流特征在线特征选择算法———OSFIC。
en-us	We propose anovel classification-oriented online feature selection algorithm for streaming features, named OSFIC.

zh-cn	算法运用四层过滤框架，通过无条件独立过滤不相关新特征、单条件下互信息过滤冗余新特征和候选特征集合中的部分冗余特征，
en-us	OSFIC uses a four-layer filtering framework to filter irrelevant new features by null-conditional independence, filter redundant new features and re-dundant features in a candidate feature set by a single-conditional mutual information,

zh-cn	最后通过多条件独立过滤候选特征集中的剩余冗余特征，最终得到分类标签的近似马尔可夫毯。
en-us	and finally filter the remaining redun-dancy in the candidate feature set by multi-conditional independence. The approximate Markov blanket of the classify label isfinally obtained.

zh-cn	为了分析 OSFIC 的性能，选择了 NIPS 2003 和 Causality Workbench 中的数据集，从预测精度、特征数量、运行时间和 AUC 方面与已有基准算法进行比较。
en-us	To analyze the performance of the algorithm, we selected the datasets in NIPS 2003 and Causality Work-bench to compare prediction accuracy, number of selected features, runtime, and AUC with existing state-of-the-art algo-rithms.

zh-cn	实验表明，OSFIC 平均分类精度比 Alpha-investing提升 4.41% 。
en-us	Experiments show that the average classification accuracy of OSFIC is 4. 41% higher than that of Alpha-investing.

zh-cn	在保证精度的前提下，平均特征数量比 SAOLA 减少 41.9% ，运行时间比 OSFS 减少 91.59% 。
en-us	Under the premise of high precision, the average number of features is 41. 9% lower than SAOLA, and the runtime is 91. 59% lower than OSFS.

zh-cn	最后，在真实的应用场景下验证了 OSFIC 的有效性。
en-us	Finally, the efficiency of OSFIC is verified in real scenarios.

zh-cn	目标检测作为计算机视觉的一个重要研究方向，近年来在算法性能上有了突破性进展。
en-us	Object detection is an important research direction in the field of computer vision. In recent years, object detection has made great advances in public datasets, and there are also breakthroughs in algorithmic performance.

zh-cn	为了更好的提升两阶段目标检测的精度与速度性能，提出了一种基于迁移学习方法的融合深度扩张卷积网络和轻量化网络的检测模型。
en-us	In order to improve the accuracy and speed performance of two-stage object detection, this paper proposes a detection model based ontransfer learning method that fuses the deep dilated convolutions network and the light-weight network.

zh-cn	首先用扩张卷积网络替换主干网络中部分的卷积残差模块———深度扩张卷积网络 D_dNet-65;
en-us	First, the dilated con-volutions network is used to replace the convolutional residual module in the backbone network, namely deep dilated convo-lution network(D_dNet-65).

zh-cn	然后对预训练后的特征图进行压缩操作，并增加一个 81 类的全连接层以确保正常进行分类和回归操作———轻量化网络结构;
en-us	Then, by compressing the pretrained feature map and adding an 81-class fully connected layerto replace the original two layers, namely light-weight network.

zh-cn	最后，引入迁移学习方法并融合 D_dNet 和轻量化网络结构，通过迁移实现模型的进一步优化。
en-us	Finally, the transfer learning method is introduced in the pre-training to optimize the model (D_dNet and light-weight network).

zh-cn	实验在典型的数据集 MSCOCO以及 VOC07 上进行。
en-us	The experiment was carried out on a typical data set, MSCOCO and VOC07.

zh-cn	实验评估表明，本文提出的方法具有良好的有效性和可扩展性。
en-us	And the experiment shows that the method proposed in this paper has good effectiveness and scal-ability.

zh-cn	在低照度环境下采集的图像具有低信噪比、低对比度及低分辨率等特点，导致图像难以识别利用。
en-us	The images acquired in the low illumination environment have the characteristics of low signal-to-noise ra-tio, low contrast and low resolution, which make the image difficult to identify and utilize.

zh-cn	为了提升低照度图像的质量，本文提出一种基于 U-Net 生成对抗网络的低照度图像增强方法。
en-us	In order to improve the imagequality of low-light images, this paper proposes a low-light image enhancement method based on U-net generative adversarial network (GAN).

zh-cn	首先利用 U-Net 框架实现生成对抗网络中的生成网络，然后利用该生成对抗网络学习从低照度图像到正常照度图像的特征映射，最终实现低照度图像的照度增强。
en-us	First, the U-net framework is used to implement the generative network of GAN, and then the GAN is usedto learn the feature mapping from the low-light image to the normal-light image, and ultimately achieve illumination en-hancement for the low-light image. Finally, this method is verified by experiments.

zh-cn	实验结果表明，与主流算法相比，本文提出的方法能够更有效的提升低照度图像的亮度与对比度。
en-us	The experimental results show that, com-pared with the mainstream algorithm, the proposed algorithm can effectively improve the brightness and contrast of low-lightimage.

zh-cn	纠错码是提高信息传输效率与可靠性的重要手段。
en-us	Error-correcting codes are important for the improvement of efficiency and security in information trans-mission.

zh-cn	构造性能良好的线性码类是纠错码研究中的一个基本问题。
en-us	Constructing codes with good parameters is a fundamental problem in error-correcting codes.

zh-cn	本文主要讨论了有限非链环 Fq［v］/(vm－ v)上自对偶常循环码的代数结构，包括 Euclidean 自对偶常循环码、Hermitian 自对偶常循环码以及 Hermitian 自对偶常循环码的极大距离可分(MDS)码。
en-us	In this paper, we main-ly study self-dual constacyclic codes over the finite nonchain ring Fq［v］/(vm－ v), including Euclidean self-dual constacy-clic codes, Hermitian self-dual constacyclic codes and maximal distance separable (MDS)codes of Hermitian self-dual con-stacyclic codes.

zh-cn	本文给出了环 Fq［v］/(vm－ v)上常循环码是 Euclidean 自对偶码的充分条件，以及是 Hermitian 自对偶码的充要条件，并利用 Gray 映射构造了有限域Fq上一些参数较好的自对偶码。
en-us	We give a necessary condition for constacyclic codes to be Euclidean self-dual and give a necessary and suf-ficient condition for constacyclic codes to be Hermitian self-dual over the ring Fq［v］/(vm－ v). Further, some good self-dualcodes are constructed by the Gray map.

zh-cn	特别地，本文得到了有限域 F192上一个新的参数为［16，8，6］的 Hermitian 自对偶码。
en-us	Especially, a Hermitian self-dual code over F192with parameters ［16, 8, 6］is con-structed.

zh-cn	智能电网作为新一代的电力系统，显著提高了电力服务的效率、可靠性和可持续性，但用户侧信息安全问题也日渐突出。
en-us	Smart gird is a new generation of power system, which significantly improves the efficiency, reliability andsustainability of power service. However, the issue of privacy information leakage of users in smart grid is becoming increas-ingly prominent.

zh-cn	本文针对智能电网系统中用户数据信息泄露的问题，提出了一个具有隐私保护的数据安全采集方案。
en-us	To address this problem, we propose a privacy-preserving data security collection scheme,

zh-cn	收集器能够对采集到的电表数据进行验证，聚合为一个新的数据包，发送给电力服务中心解密和存储，且第三方仲裁机构能够解决用户端智能电表与电力服务中心发生的纠纷。
en-us	where the collec-tor is able to verify all the collected data and aggregate them into a new data packet, then send it to the electricity serviceprovider (ESP)for decryption and storage. This paper also introduces a third-party to arbitrate disputes between the smartmeter users and ESP.

zh-cn	同时，本方案支持收集器，电力服务中心和第三方仲裁机构执行批量验证操作，以提升验证效率。
en-us	In our solution, collectors, ESP, and the third-party can perform batch verification on multiple (aggre-gated)ciphertexts, respectively, so as to efficiently verify their authenticity and integrity.

zh-cn	本文的理论分析与实验比较表明，该方案比同类型方案具有更高的运算效率和通信效率。
en-us	The theoretical analysis and experi-mental comparison show that the proposed scheme enjoys more computational efficiency and communication efficiency com-pared with existing scheme.

zh-cn	研究表明，micRNAs(miRNA)突变或者异常会导致多种疾病，鉴定出与疾病相关的 microRNA 可以帮助诊断和治疗相关疾病。
en-us	Studies show that mutations or abnormalities in micRNAs can lead to many diseases, and the identification of disease-associated microRNAs (miRNAs)can help diagnose and treat related diseases.

zh-cn	然而，通过生物实验方式获取准确关联关系，花费大，而且周期长。
en-us	However, it is costly and long-term to obtain accurate correlations through biological experiments.

zh-cn	因此，本文中提出了一种基于网络内部拓扑信息的机器学习方法(HNDLM)预测疾病-miRNA 关联关系。
en-us	Therefore, this paper proposes a machine learning method(HNDLM)that uses network topology information to predict disease-miRNA associations.

zh-cn	HNDLM 避免搭建相似网络，而是将近年提出的 network embedding 方法应用在生物网络上。
en-us	HNDLM avoids the construction of similarity networks, but applies the network embedding method proposed in recent years to biological networks.

zh-cn	实验结果显示，HNDLM 相较于 MIDPE，MIDP，WBSMDA，RLSMDA，CPTL，HDMP 经典算法在准确率和 AUC 值上效果更好。
en-us	Experi-mental results show that HNDLM performs better than MIDPE, MIDP, WBSMDA, RLSMDA, CPTL, HDMP classical algo-rithms in accuracy and AUC value.

zh-cn	此外，在案例学习中，HNDLM 推荐的前 30 个候选 miRNAs，基本都能通过先前实验得到证实，HNDLM 能发现潜在疾病-miRNA 关系，有助于进一步研究疾病发病机制，推动生物信息学发展。
en-us	In case study, the top 30 candidate miRNAs recommended by HNDLM can be confirmedby previous experiments. HNDLM can discover the potential disease-miRNA relationship and help to further study the patho-genesis of the disease, promote the development of bioinformatics.

zh-cn	能量兼容性会以电磁兼容性表象出现。
en-us	Energy compatibility emerges as the surface phenomena of electromagnetic compatibility.

zh-cn	采用局限于电磁能量的理论和技术，可能会陷于技术困境或需要更高成本。
en-us	With theories andtechnologies limited to electromagnetic energy, it may lead to technical dilemma or higher costs.

zh-cn	本文用能量兼容性及相关模型阐述电磁兼容性概念。
en-us	The concept of EMC is stat-ed through energy compatibility and related models.

zh-cn	以机载雷达为例，初步分析论述能量兼容的电磁兼容性设计应用。
en-us	The design of EMC with energy compatibility is preliminarily discussedby taking airborne radar as an example.

zh-cn	采用能量兼容设计理念，有助于应对电磁兼容的诱发因素，为规划、预防、处理设计中的电磁兼容问题提供必要条件。
en-us	Using the concept of energy compatibility design is helpful to deal with the inducing factors of EMC and provide requirements for planning, prevention and treatment of EMC problems in design.

zh-cn	针对 SSD 原始附加特征提取网络(Original Additional Feature Extraction Network，OAFEN)中 stride 操作造成图像小目标信息丢失和串联结构产生的多尺度特征之间冗余度较大的问题，提出了一种计算量小、感受野大的深度可分离空洞卷积(Depthwise Separable Dilated Convolution，DSDC)，
en-us	Aiming at the problems of small target information loss caused by stride operation and large redundancy a-mong multi-scale feature maps generated by serial structure in original additional feature extraction network (OAFEN)ofSSD, a depthwise separable dilated convolution (DSDC)with small computation and large field of receptivity is proposed;

zh-cn	并利用 DSDC 设计了一个包含三个独立子网络的并行附加特征提取网络(Parallel Additional Feature Extraction Network，PAFEN)。
en-us	then a parallel additional feature extraction network (PAFEN)with three independent subnetworks is designed by using fiveDSDCs.

zh-cn	PAFEN 上路用两个 DSDC 提取尺寸为19* 19 和 3* 3 的特征图;
en-us	In upper subnetwork of PAFEN, two DSDCs are used to extract 19* 19 and 3* 3 feature maps.

zh-cn	中路用一个 DSDC 提取尺寸为 10* 10 的特征图;
en-us	In intermediate sub-network of PAFEN, one DSDC is used to extract 10* 10 feature maps.

zh-cn	下路用两个 DSDC 提取尺寸为 5* 5 和 1*1 的特征图。
en-us	In lower subnetwork of PAFEN, two DSDCs are usedto extract 5* 5 and 1* 1 feature maps.

zh-cn	实验结果表明，在 SSD 框架内，PAFEN 在 mAP 和检测时间等方面均优于 OAFEN，适用于地面小目标的检测任务。
en-us	The experimental results show that within the framework of SSD, PAFEN is superiorto OAFEN in terms of mAP and detection time, and is suitable for ground small target detection tasks.

zh-cn	遥感影像检测分割技术通常需提取影像特征并通过深度学习算法挖掘影像的深层特征来实现。
en-us	Remote sensing image detection and segmentation technology usually needs to extract image features andmine the deep features of images through deep learning algorithm.

zh-cn	然而传统特征(如颜色特征、纹理特征、空间关系特征等)不能充分描述影像语义信息，而单一结构或串联算法无法充分挖掘影像的深层特征和上下文语义信息。
en-us	However, traditional imaging features (e. g. , color, tex-ture, spatial relationship)cannot fully reflect the semantic information of the images, while single/sequential algorithm can-not fully exploit the deep features and the contextual semantic information of the images.

zh-cn	针对上述问题，本文通过词嵌入将空间关系特征映射成实数密集向量，与颜色、纹理特征的结合。
en-us	Aiming at the above challenges, in this paper, the spatial relation features are mapped into real dense vectors by word embedding, which are combined with col-or and texture features.

zh-cn	其次，本文构建基于注意力机制下图卷积网络和独立循环神经网络的遥感影像检测分割并联算法(At-tention Graph Convolution Networks and Independently Recurrent Neural Network，ATGIR)。
en-us	Further, we propose a new parallel algorithm referred to as attention graph convolution networks andindependently recurrent neural network (ATGIR)based on graph convolution network and independent recurrent neural net-work under attention mechanism for remote sensing image detection and segmentation.

zh-cn	该算法首先通过注意力机制对结合后的特征进行概率权重分配;
en-us	Our algorithm first assigns probabilis-tic weights to the combined features based on attention mechanism;

zh-cn	然后利用图卷积网络(GCNs)算法对高权重的特征进一步挖掘并生成方向标签，同时使用独立循环神经网络(IndRNN)算法挖掘影像特征中的上下文信息，
en-us	then extracts deep features based on the features withhigh weights to generate labels with directions by using graph convolution network (GCNs)algorithms, extracts contextualsemantic information of the images by using the independently recurrent neural network (IndRNN)algorithm;

zh-cn	最后用 Sigmoid 分类器完成影像检测分割任务。
en-us	finally, ouralgorithm realizes image detection and segmentation by using Sigmoid.

zh-cn	以胡杨林遥感影像检测分割任务为例，我们验证了提出的特征提取方法和 ATGIR 算法能有效提升胡杨林检测分割任务的性能。
en-us	For remote sensing image detection and segmentationof populous euphratica forest as an instance, we prove that our feature extraction method and proposed ATGIR algorithm caneffectively improve the detection and segmentation tasks.

zh-cn	安全多方计算是近年来国际密码学界研究的热点问题。
en-us	Secure multiparty computation is one focus in the international cryptographic community in recent years.

zh-cn	多重集作为标准集的推广在实际中有广泛的应用，对于多重集的保密计算问题研究具有重要的意义。
en-us	The private computation of multisets is also of great practical significance.

zh-cn	本文主要研究两方多重集的交集、并集以及基于阈值和集的保密计算问题。
en-us	In order to privately compute on multisets, we first propose two new encoding schemes.

zh-cn	首先针对不同问题设计相应的编码方法，结合 Paillier 加密方案设计保密计算协议，并应用模拟范例方法严格证明协议的安全性。
en-us	Then based on Paillier probabilistic encryption algorithm, we design three simpleand efficient secure two party protocols to compute the intersection, the union and the summation of two private multisets. We prove that they are secure in the semi-honest model. We also analyze the computational complexities and communication complexities of the protocols and test the efficiency on a PC.

zh-cn	效率分析和实验验证表明本文所设计的协议是简单高效的。
en-us	The test result shows that our protocols are efficient.

zh-cn	在云存储环境下，云数据采用多副本存储已经成为一种流行的应用。
en-us	In the cloud storage environment, the multiple copies are more popular.

zh-cn	针对恶意云服务提供商威胁云副本数据安全问题，提出一种基于 DDCT(Dynamic Divide and Conquer Table)表的多副本完整性审计方案。
en-us	However, aiming at the problems ofdata dynamic operation and malicious cloud service provider attacks encountered in multi-copy data integrity audit, a multi-copy integrity audit scheme based on dynamic divide and conquer table (DDCT)is proposed.

zh-cn	首先引入DDCT 表来解决数据动态操作问题，同时表中存储副本数据的块号、版本号和时间戳等信息;
en-us	Firstly, the dynamic divideand conquer table is introduced to solve the problem of dynamic data operation, and the block number, version number andtimestamp of the copy data are stored in the table.

zh-cn	接下来为抵制恶意云服务商攻击，设计一种基于时间戳的副本数据签名认证算法;
en-us	In order to resist the malicious cloud service provider attacks, a time-basedreplica data signature authentication algorithm is designed.

zh-cn	其次提出了包括区块头和区块体的副本区块概念，区块头存储副本数据基于时间戳识别认证的签名信息，区块体存放加密的副本数据;
en-us	Secondly, it proposes the concept of replica block including blockheader and block body. The block header stores the authenticated signature information which is based on timestamp, and theblock body stores the encrypted data.

zh-cn	最后委托第三方审计机构采用基于副本时间戳的签名认证算法来审计云端多副本数据的完整性。
en-us	Finally, the third-party auditing agency uses a replica timestamp-based signature au-thentication algorithm to audit the integrity of the multi-copy data.

zh-cn	通过安全性分析和实验对比，本方案不仅有效的防范恶意存储节点之间的攻击，而且还能防止多副本数据泄露给第三方审计机构。
en-us	Through security analysis and experimental comparison, this solution protects data information from third-party auditors while effectively preventing malicious cloud service provider attacks.

zh-cn	随着图模型规模的扩大，单机算法难以适应大规模数据集下的子图查询。
en-us	With the expansion of graph scale, single-machine algorithms can hardly adapt to the sub-graph queries inlarge-scale data sets.

zh-cn	而现有的分布式算法基于无索引的简单遍历，join 过程容易出现内存溢出，而且查询图分布异常时易出现负载不均衡。
en-us	As existing distributed algorithms are based on simple traversal without index, the join process is proneto memory overflow in the distributed algorithms and load imbalance occurs when the query graph distribution is abnormal.

zh-cn	提出了一种基于谱编码的二叉索引树(SCBT-index)，首先对数据图中的顶点谱编码，根据编码信息构建二叉索引树。
en-us	Therefore, a binary index tree based on spectral coding named SCBT-index is proposed. Firstly, for vertex spectrum coding inthe data graph, a binary index tree is constructed according to the coding information.

zh-cn	然后对查询图使用最小查询计划进行分解，最后 join 过程使用 3 个剪枝策略:基于拓扑结构的预剪枝、序列化 join 和基于分布式下的 join 优化。
en-us	Then, the query graph is decomposed using the minimum query plan. Finally, three pruning strategies are used in the join process:structure matching based on to-pological structure, serialized join and the distributed join optimization.

zh-cn	实验结果表明，SCBT-index 在图集下的综合性能优于现有主流算法，单图下的查询时间为现有算法的 1 /2 到 1 /4。
en-us	The experimental results show the comprehensive performance of SCBT-index under the graph set is better than that of the popular algorithms. In addition, the query time un-der the single graph is 1 /2 to 1 /4 of that of the existing algorithms.

zh-cn	针对广泛存在的非线性回声，以及在非高斯噪声环境下，传统回声消除器中自适应算法性能衰退，继而导致回声消除效果下降的情况，本文提出了一种基于最小离差准则的协同函数链接型自适应滤波回声消除方法。
en-us	In the condition of the widespread nonlinear echo and the non-Gaussian noise environment, the perform-ance of the adaptive algorithm in the traditional echo canceller is degraded, which leads to the decline of the echo cancella-tion effect. In this paper, aiming at this question, a collaborative functional link adaptive filtering echo cancellation methodbased on the minimum dispersion criterion is proposed.

zh-cn	该方法使用归一化最小 lp范数算法更新线性和非线性函数扩展的自适应滤波器的权值，并将输出信号协同组合，以消除非线性回声。
en-us	In this method, the weights of the linear and nonlinear functional ex-panded adaptive filters are updated by using a normalized minimum lpnorm algorithm, and the output signals are coopera-tively combined to eliminate the nonlinear echo.

zh-cn	仿真实验结果表明，该方法在 α-稳定分布噪声且非线性回声存在的情况下比传统回声消除方法具有更高的回声衰减增益。
en-us	The simulation results show that the proposed method can achieve higherecho return loss enhancement in the presence of the α-stable distributed noise and the nonlinear echo.

zh-cn	针对粗粒度可重构密码逻辑阵列密码算法映射周期长且性能不高的问题，该文通过构建粗粒度可重构密码逻辑阵列参数化模型，以密码算法映射时间及实现性能为目标，结合本文构建的粗粒度可重构密码逻辑阵列结构特征，提出了一种算法数据流图划分算法。
en-us	This paper presents algorithms for cryptographic algorithms mapping based on the coarse-grained reconfig-urable cryptographic logic array. Due to a long mapping period and low performance for current algorithms mapping, we pro-pose two methods to improve it. First, combine with the structural characteristics of the coarse-grained reconfigurable crypto-graphic logic array and cryptographic algorithms, an algorithm for data flow graph partitioning is proposed.

zh-cn	通过将密码算法数据流图中节点聚集成簇并以簇为最小映射粒度进行映射，降低算法映射复杂度;
en-us	By integrating thenodes into clusters to reduce the mapping complexity. Second, refer to the idea of machine learning, a smart ant colony opti-mization algorithm is proposed.

zh-cn	该文借鉴机器学习过程，构建了具备学习能力的智慧蚁群模型，提出了智慧蚁群优化算法，通过对训练样本的映射学习，持续优化初始化信息素浓度矩阵，提升算法映射收敛速度，以已知算法映射指导未知算法映射，实现密码算法映射的智能化。
en-us	By learning the training samples, the pheromone concentration matrix is continuously opti-mized and realizes the intelligentization of cryptographic algorithm mapping.

zh-cn	实验结果表明，本文提出的映射方法能够平均降低编译时间 37.9% 并实现密码算法映射性能最大，
en-us	The experimental results show that the proposedmapping method can reduce the compilation time by 37. 9% and achieve the best performance.

zh-cn	同时，以算法数据流图作为映射输入，自动化的生成密码算法映射流，提升了密码算法映射的直观性与便捷性。
en-us	At the same time, the algo-rithm data flow graph is used as the mapping input, and the cryptographic algorithm map stream is automatically generated, which improves the cryptographic algorithm mapping more intuitive and convenient.

zh-cn	在签名算法中，一旦签名私钥被窃取，敌手就可以随意伪造合法用户的签名，从而致使合法用户的权益受到侵害。
en-us	In the signature algorithm, once the private key of the signature is stolen, the adversary can forge the sig-nature of the legal user arbitrarily, which will cause the rights of legal users to be infringed.

zh-cn	为了降低签名私钥泄露的风险，本文提出了一种安全的两方协作 SM2 数字签名算法，
en-us	In order to reduce the risk ofsignature private key leakage, a secure two-party SM2 digital signature algorithm is proposed in this paper.

zh-cn	该算法将签名私钥拆分成两个部分，分别交由两方来保管，通过采用零知识证明、比特承诺、同态加密等密码学技术保证了只有合法的通信双方才能安全地协作产生完整的 SM2 签名，
en-us	The private keyof the signature is divided into two parts and each part of the private key is handed over to the different parties separately. The cryptographic techniques such as zero-knowledge proof, bit commitment and homomorphic encryption are used to en-sure that only the legal users can generate the integrated SM2 signature.

zh-cn	任何一方都不能单独恢复出完整的签名私钥，方案的安全性在通用可组合安全框架下被证明，与已有的 SM2 协作签名方案相比，本文方案具有交互次数少、协作签名效率高等优势。
en-us	The integrated private key cannot be recovered in-dividually. The security of the proposed scheme is proved under the universally composable security framework. Comparedwith the existing SM2 cooperative signature schemes, the proposed scheme has the advantages of fewer interactions andhigher efficiency.

zh-cn	本文研究了 DS-SS 信号的扩频序列盲估计问题，针对现有特征值分解算法失步时间估计不准和计算量大等缺点，提出一种基于改进传播算子的扩频序列盲估计算法，
en-us	Aiming at the problem of inaccurate estimation of out-of-step time and large computation in eigenvalue de-composition algorithm, the direct sequence spread spectrum (DS-SS)signal blind estimation problem of spread spectrum se-quence is studied, and an algorithm based on improved propagator is proposed in this paper.

zh-cn	该算法对传统传播算子估计信号子空间的方法进行了改进，使之能够估计扩频序列，并利用信号子空间估计信号失步时间。
en-us	The algorithm can estimate thespread spectrum sequence and the signal out-of-step time by using the signal subspace.

zh-cn	与基于特征值分解的方法相比，本文算法提高了失步时间的估计精度，并有效的降低了计算量。
en-us	Compared with the eigenvalue de-composition method, the estimation accuracy of the out-of-step time is improved and the amount of calculation is effectivelyreduced.

zh-cn	最后对算法计算量和性能进行了仿真分析和验证，结果表明本文算法有效，计算量远小于现有特征值分解算法，且估计性能在低信噪比条件下更优。
en-us	Finally, the computational amount and performance of the algorithm are simulated and verified. The results show that the proposed algorithm is effective, the computational amount is far less than the eigenvalue decomposition algorithm, and the performance is better under the condition of low SNR.

zh-cn	超奈奎斯特传输技术作为一种非正交传输技术，近年来受到了广泛的关注。
en-us	Faster-than-Nyquist (FTN)signaling, as a non-orthogonal signaling format, has been attracting a lot of at-tention recently.

zh-cn	不同于传统的正交传输信号，超奈奎斯特信号的符号传输速率因为超过了奈奎斯特无码间串扰速率而带来了不可避免的符号间干扰，然而这一传输方式也被证明可以带来更高的信道容量。
en-us	FTN signaling has a symbol rate that is higher than the Nyquist rate, which causes intersymbol interference inevitably. However, this signaling method has been proved to bring higher channel capacity.

zh-cn	因此超奈奎斯特技术成为了一种具有高频谱利用率的新型传输方法，也为带宽受限的通信场景带来了新的解决方案，并且其在卫星信道以及第五代移动通信的回程链路中的应用成为了研究热点。
en-us	Therefore, FTN signaling hasbecome a new bandwidth-efficient modulation method which offers a promising solution to the communication scenario withscarce bandwidth. Furthermore, faster-than-Nyquist signaling has also become a hot topic in the research of satellite commu-nication and backhauling technique in 5G communication standard.

zh-cn	本文对超奈奎斯特传输的概念与原理、容量计算、实现方式、检测方法以及性能与应用做了详细的总结并对其目前的技术难点进行了讨论。
en-us	This paper provides a summary of FTN signaling in termsof its concept and theory, capacity, implementation, detection, as well as performance and applications, respectively. Some discussions of current research difficulties are also given in the paper.

zh-cn	本文提出了一种新的带有同步化特征选择的聚类算法，称为“具有同步化特征选择的迭代紧凑非平行支持向量聚类算法”(IT-NHSVC-SFS)。
en-us	In this paper, a new clustering algorithm with simultaneous feature selection is proposed, which is called it-erative tighter nonparallel support vector clustering with simultaneous feature selection(IT-NHSVC-SFS).

zh-cn	在具有两个非平行超平面的学习模型中使用迭代(交替)优化算法完成聚类，同时引入两种类型的正则项，分别是欧几里得范数和无穷范数，
en-us	In learning withtwo nonparallel hyperplanes model, we use the iterative (alternating)optimization algorithm to achieve clustering, and at thesame time introduce two types of regularizes, the Euclidean norm and the infinite norm, respectively.

zh-cn	欧几里得范数用于提升聚类模型的泛化能力，无穷范数实际上是对两个非平行超平面进行同步化地隐式特征抽取，从而降低来自于不相关特征的聚类噪音，保证了模型的聚类精度，
en-us	Euclidean norm cluste-ring model is used to improve the generalization ability and the infinite norm actually fulfills implicit feature extraction forthe two nonparallel hyperplanes in order to reduce data noises from irrelevant features, and the clustering precision of themodel is guaranteed.

zh-cn	并引入一组束缚变量(bounding variables)避免无穷范数的最大化操作，将非凸优化问题转化成二次凸优化问题。
en-us	We also introduce a set of bounding variables to avoid maximization operation of the infinite norm, converting the non-convex optimization problem into a quadratic convex optimization problem.

zh-cn	同时，由于新提出的模型体现着“最大间隔”的思想，因此具有良好的泛化能力。
en-us	Meanwhile, because the newmodel embodies the idea of " maximum margin" , it has good generalization ability.

zh-cn	为了方便实现两个非平行超平面同步化的特征选择过程，文中将非平行超平面 SVM(Nonparallel Hyperplane SVM，NHSVM)作为 IT-NHSVC-SFS 算法的基础模型，因此和 TWSVM 以及它的变体模型不同的是:只需要求解一个二次规划问题(QP 问题)就可以同时得到两个最优超平面。
en-us	IT-NHSVC-SFS chooses nonparallel hy-perplanes SVM (NHSVM)as the basis of the algorithm model. Unlike TWSVM and its variant models, only a quadratic programming problem(QP problem)needs to be solved to get the two optimal hyperplane simultaneously.

zh-cn	同时，新算法在原有的 NHSVM 模型的约束条件集合中新添加了两组等式约束条件，从而无需进行原有模型中的两个大矩阵的求逆操作，降低了计算复杂度。
en-us	The new algorithm adds two sets of equality constraints in the constraint set of the original NHSVM model, which can avoid the inverse operation of two largematrices and reduce the computational complexity.

zh-cn	此外，在 IT-NHSVC-SFS 模型中，用拉普拉斯损失函数(Laplacian loss measure)代替了 NHSVM 模型原有的铰链损失函数(hinge loss function)，避免了算法早熟收敛(prema-ture convergence)。
en-us	In addition, in the IT-NHSVC-SFS model, the Laplacian loss function re-places the original hinge loss function in NHSVM to avoid premature convergence.

zh-cn	在一组标准数据集上的数值实验结果表明，相对于其他已有的聚类算法，IT-NHSVC-SFS 算法在聚类精度方面具有更好的表现。
en-us	Numerical experiments on a set of bench-mark data sets show that IT-NHSVC-SFS algorithm performs better in terms of clustering accuracy than other existing cluste-ring algorithms.

zh-cn	为了实现偏振光传感器在实际三维空间中的导航应用，设计了一种基于仿生偏振光导航传感器、微惯性测量单元(MIMU)与全球定位系统(GPS)的组合导航控制系统，并实际应用到了四旋翼导航控制之中。
en-us	In order to apply the polarization sensor to the real three-dimensional navigation, an integrated navigationcontrol system was designed based on the bionic polarized light navigation sensor, micro inertial measurement unit (MIMU)and global positioning system (GPS), and was applied to the quadrotor navigation control.

zh-cn	本文首先介绍了偏振光传感器的功能模型和测角原理。
en-us	Firstly, the functional model andangle measurement principle of the polarization sensor was presented.

zh-cn	其次采用扩展卡尔曼滤波(EKF)技术设计了偏振光传感器、MIMU、GPS 的信息融合算法，通过室外飞行试验对该导航系统的性能进行了测试，并与传统 MIMU/GPS/电子罗盘导航系统进行了比较。
en-us	Then, the extended Kalman filter (EKF)technologywas used to design the information fusion algorithm of the polarization sensor, MIMU and GPS. The performance of the nav-igation system was validated by an outdoor flight experiment and was compared with the traditional MIMU /GPS /compassnavigation system.

zh-cn	结果显示:在有磁场干扰环境下，基于偏振光的导航控制系统平均位置精度较传统导航系统提高了 50.4% 。
en-us	The results show that the mean position accuracy of the navigation system based on polarized light is 50. 4% higher than that of the traditional navigation system in the presence of magnetic interference.

zh-cn	实验结果表明:该导航控制系统实时性好、精度较高、抗电磁干扰能力强，且误差不随时间累积，基本满足移动载体进行自主导航时的精度和可靠性要求。
en-us	It is indicated that the po-larized light navigation control system has good real-time performance, high precision, strong anti-electromagnetic interfer-ence capability and the error does not accumulate over time, which can meet the accuracy and reliability requirements whenthe mobile carrier implements autonomous navigation.

zh-cn	LEA 密码算法是一类 ARX 型轻量级分组密码，广泛适用于资源严格受限的环境。
en-us	LEA cipher, a family of ARX lightweight block cipher, is widely used in resource-constrained environ-ments.

zh-cn	本文使用中间相错技术找到 LEA 算法的 86 条 8 轮和 6 条 9 轮零相关区分器，进一步利用零相关区分器和积分区分器的关系，构造出 5 条8 轮和 1 条 9 轮积分区分器。
en-us	In this paper, we use the miss-in-the-middle technique to find 86 8-round zero-correlation distinguishers and 6 9-roundzero-correlation distinguishers of LEA, and make use of the relationship between the zero-correlation distinguisher and the in-tegral distinguisher to construct 5 8-round distinguishers and 1 9-round integral distinguishers.

zh-cn	在 8 轮积分区分器的基础上，利用密钥扩展算法的性质和部分和技术，首次实现了对LEA-128 的 10 轮积分攻击，攻击的计算复杂度为 2120次 10 轮 LEA-128 加密。
en-us	Based on 8-round integral dis-tinguisher, integral attack on 10-round LEA-128 is implemented firstly by using the property of the key schedule and partial-sum technology, and the attack performs 212010-round LEA-128 encryptions.

zh-cn	进一步，实现了对 LEA-192 的 11 轮积分攻击以及对 LEA-256 的 11 轮积分攻击，计算复杂度分别为 2185。02次 11 轮 LEA-192 加密和 2248次 11 轮 LEA-256 加密。
en-us	Besides, the integral attack against 11-roundLEA-192 with computational complexity of 2185. 0211-round LEA-192 encryptions and the integral attack against 11-roundLEA-256 with computational complexity of 224811-round LEA-256 encryptions are implemented.

zh-cn	针对长期目标跟踪算法中目标部分遮挡甚至消失情况下的目标有效跟踪问题，提出了一种融合了目标显著性特征的选择性跟踪算法。
en-us	In the long time tracking, object representation and occlusion handling are two important challenges. We propose a selective tracking and detection framework in which a new probabilistic object-enhanced feature is integrated.

zh-cn	首先，为了有效抑制背景信息的干扰，综合 HOG 特征以及颜色统计特征的特点提出了前景概率图来实现增强目标显著性抑制背景干扰的效果。
en-us	Firstly, we propose a foreground probability map to enhance the target and weaken the surrounding background.

zh-cn	其次，为了减少跟踪漂移和解决重度照明和遮挡等挑战性场景中的跟踪失败问题，引入了具有筛选条件的选择性跟踪和检测框架，用以控制检测器的激活以及最终结果的选择。
en-us	Secondly, we introduce the selective tracking and detection framework that has two sets of conditions to control the detector activation andfinal result selection.

zh-cn	OTB2013 数据集上的实验结果证明，本文算法可以取得 91.1% 的总体准确率以及 67% 的总体成功率，结果优于大部分跟踪算法。
en-us	We have evaluated our methods on the popular benchmark OTB2013 dataset. The algorithm achieves anoverall accuracy of 91. 1% and a success rate of 67% , which demonstrates that our algorithm performs favorably comparedwith other state-of-the-art methods.

zh-cn	基于差分隐私的时间序列模式挖掘方法中，序列的最大长度以及添加拉普拉斯噪声的多少直接制约着挖掘结果的可用性。
en-us	Many methods of differentailly private time series pattern mining have been proposed, while in those meth-ods, the length of sequence pattern and Laplace noise directly constrain the utility of the mining results.

zh-cn	针对现有时间序列模式挖掘方法全局敏感度过高、挖掘结果可用性较低的不足问题，提出了一种基于序列格的差分隐私下时间序列模式挖掘方法 PrivTSM(Differentially Private Time Series Pattern Mining)。
en-us	To address the ques-tions caused by the global query sensitivity and lower utility of the existing works, an efficient method, called PrivTSM(dif-ferentially Private Time Series Pattern Mining)is proposed, which is based on sequence lattice for mining time series patternwith differential privacy.

zh-cn	该方法首先利用最长路径的策略对原始数据库进行截断处理;
en-us	This method relies on the longest path strategy to truncate the original database;

zh-cn	在此基础上，采用表连接操作生成满足差分隐私的序列格;
en-us	based on the trun-cated database, this method uses the table join operation to construct a differentially private sequence lattice.

zh-cn	结合序列格结构本身的特性，合理分配隐私预算，提高输出模式的可用性。
en-us	Furthermore, this method uses the property of the sequence lattice structure itself to allocate privacy budget reasonably and boost the accuracy of the noisy counts.

zh-cn	理论分析表明 PrivTSM 方法满足 ε-差分隐私，
en-us	PrivTSM satisfies ε-differential privacy through theoretical analysis.

zh-cn	基于真实数据库上实验结果表明，PrivTSM 方法的准确率 TPR(True Postive Rate)和平均相对误差 ARE(Average RelativeError)明显优于 N-gram 和 Prefix-Hybrid 方法。
en-us	The experimental results on real datasets show that the accuracy (TPR)and average relative error (ARE)of the PrivTSM are better than those of the N-gram and Prefix-Hybrid algorithms.

zh-cn	针对低照度图像存在的对比度低、视觉效果差等问题，提出一种基于卷积分析稀疏表示和相位一致性的低照度图像增强方法。
en-us	Low-light images suffer from low visibility and poor visual quality. To improve the quality of low-light im-ages, a method based on convolution analysis sparse representation and phase congruency was proposed.

zh-cn	该方法基于 Retinex 模型，在估计照度图像时采用卷积分析稀疏表示进行约束，所用滤波器一部分人工设定，一部分由样本训练自动获得;
en-us	This method is based on the Retinex model and improves the problem of insufficient constraints. More concretely, we used the convolutional analysis sparse representation whose filters were hand-crafted and learned from the input to estimate the illumination image.

zh-cn	在计算反射图像时利用单演相位一致性特征，施加相位一致性残余最小约束来恢复细节;
en-us	Then, by using the monogenic phase congruency, the reflection image was calculated via the phase congruency residual mini-mization to enhance weak details.

zh-cn	通过联合约束并进行优化，得到的反射图像即为最终的增强结果。
en-us	Through joint constraints and optimization, the resulting reflection image served as the finalenhancement result.

zh-cn	对大量低照度图像进行实验，并与当前先进方法相比，结果表明，本文方法不仅提高了图像的亮度与对比度，增强了细节，而且在多个客观评价指标上都优于其他方法。
en-us	Experiments on a number of challenging low-light images are presented to reveal the efficacy of ourmethod and show its superiority over several state-of-the-arts on both subjective and objective assessments.

zh-cn	密文域可逆信息隐藏技术在医学、云服务、军事、商业等众多领域有着广泛应用，
en-us	Reversible steganography in encrypted domain is widely used in medical, cloud services, military, commer-cial and other fields.

zh-cn	针对现有密文域信息隐藏算法的可逆性不能完全保证、嵌入率低、不能完全分离等不足，提出一种完全可逆可分离密文域信息隐藏算法，
en-us	Aiming at the problems of encrypted domain information hiding algorithm, such as incomplete guaranteeof reversibility, low embedding rate and incomplete separation, this paper proposed a separable and reversible steganographyin encrypted domain.

zh-cn	首先，给出了适合图像加密遍历矩阵所需满足的条件和构造方法，
en-us	Firstly, the conditions and construction methods for the ergodic matrix of image encryption are given.

zh-cn	载体图像拥有者设置密钥 1 构造遍历矩阵，并对明文图像进行加密，然后将加密图像传送给信息嵌入者，信息嵌入者设置密钥 2，以期望插值为目标，根据插值区间大小确定嵌入位数，再由差值修正因子和秘密信息共同确定最终插值，使最终插值最大限度接近期望插值，确保载密图像高质量，
en-us	The carrier image owner sets the key1 to construct the ergodic matrix and encrypts the plaintext image, the information em-bedder sets the key2, in order to achieve the goal of expectation interpolation, the number of embedding bits is determinedaccording to the size of interpolation interval, and then the final interpolation is determined by the difference correction factorand secret information together, so that the final interpolation is close to the expectation interpolation to the maximum ex-tent, ensuring the high quality of the encrypted image.

zh-cn	整个过程无附加信息、无数据溢出、且均可保证可逆性，密钥 1 拥有者和密钥 2 拥有者两种权限互不干涉，是完全可逆可分离算法，平均嵌入率可达到 3 bit/pixel，
en-us	There is no additional information, no data overflow and reversibility is guaranteed in the whole process, the two permissions do not interfere with each other, and the algorithm is completely re-versible and separable, and the average embedding rate can reach 3 bit/pixel.

zh-cn	通过与 8 种优秀算法的实验比较，表明算法在嵌入容量、可逆性、可分离性率等方面相比于对比算法均有一定优势。
en-us	The experimental results show that the algo-rithm is better than the other eight excellent algorithms in terms of embedding capacity, reversibility and separability.

zh-cn	在非均匀采样系统中，存在着刷新时间间隔不确定和时变的情况，这给系统控制器的设计造成了很大困难。
en-us	In the non-uniformly sampled systems, there are uncertainties and time-varying of the refresh time interval, which have caused great difficulties to design the system controller.

zh-cn	针对此问题，本文将刷新时间间隔看作时延变量，将不同时延的系统动态变化过程转化为不同子系统的动态变化过程，从而将时延的变化转化为不同子模型之间的切换，
en-us	To aim at these problems, the refresh time interval is re-garded as the time delay variable, and the system dynamic changing processes in different time delays are characterized by the changing processes of different subsystems. The variety of different time delays is transformed into the switching betweendifferent sub-models.

zh-cn	最终将非均匀采样系统描述为一类具有有限个子系统的离散时间切换系统。
en-us	The non-uniformly sampled system is described as a class of discrete-time switched systems with finitesubsystems.

zh-cn	利用输出反馈控制方法，基于平均驻留时间条件，使输出反馈闭环非均匀采样系统指数稳定。
en-us	Under the condition of satisfying the average dwell time, the output feedback control method is used to guaranteethe exponential stability of the closed loop non-uniformly sampled system.

zh-cn	最后，通过一个非均匀采样系统仿真实例证明了提出方法的有效性。
en-us	Finally, the effectiveness of the proposed methodis demonstrated by the example of the non-uniformly sampled system.

zh-cn	为实现在只有少量标记数据情况下的高质量的图像分类，本文提出了一种基于深度卷积神经网络的图上半监督极化 SAR 图像分类算法。
en-us	To realize high quality image classification with few labeled data, a graph-based semi-supervised PolSARimage classification method using deep neural networks is proposed in this paper.

zh-cn	该算法将极化 SAR 图像建模为无向图，并基于该无向图，定义了包含半监督项，卷积神经网络项和类标光滑项的能量函数。
en-us	The PolSAR image is modeled as a graph, based on which we design an energy function which incorporates a semi-supervision term, a convolutional neural network(CNN)term and a pairwise smoothness term.

zh-cn	算法所采用的卷积神经网络提取抽象的数据驱动的极化特征。
en-us	CNN is responsible for extracting discriminative polarimetric features.

zh-cn	半监督项约束了有标记像素的类标在分类过程中保持不变。
en-us	The semi-supervision term enforces that class information of labeled pixels keep fixed during the classification.

zh-cn	类标光滑项约束了像素间类标的光滑性。
en-us	The pairwise smoothness term enforces class label smoothness.

zh-cn	基于对 PauliRGB 图像进行超像素分割而产生的初始化类标图，交替迭代优化所定义的能量函数直至其收敛。
en-us	Started from an initialized class label map generated using superpixel seg-mentation of polarimetric PauliRGB image, the proposed method iteratively optimizes the energy function until the modelconverges.

zh-cn	在两幅真实极化 SAR 图像上的实验结果表明，该算法达到了优异的分类效果，其性能优于当前已有算法。
en-us	Experimental results conducted on two benchmark PolSAR images show that our approach effectively improvesthe classification accuracy with limited numbers of labeled pixels.

zh-cn	智能环境传统的规则推理机制中，网关内布置的推理机从各种传感器中获取推理所需数据并与规则库相匹配，承担整个推理工作。
en-us	Under traditional rule-based reasoning in smart environment, the inference engine deployed in gateway col-lects data from various sensors to match the rules, which undertakes whole reasoning work.

zh-cn	本文利用 Rete 算法将规则构建为推理网络，并结合雾计算的概念将 Rete 推理节点分配至环境内配置的智能节点中协同推理以减轻网关负载，由此推理节点的分配成为关键，分配不合理将导致资源利用不平衡及响应延迟。
en-us	In current research, we use Retealgorithm to construct an inference network by rules and then allocate the Rete inference nodes to smart nodes for collabora-tive reasoning based on fog computing, therefore, the allocation mechanism becomes crucial.

zh-cn	本文利用活动影响下规则触发的规律设计了活动聚类算法 CoA(Clustering of Activities)对活动聚类后分别建立其推理网络，计算出智能节点之间的最短路径后将结果代入针对其层次延迟性而设计的分配算法 AAoRN(Allocation Algorithm of Rete Inference Nodes)，从而将推理节点最优分配至各个智能节点。
en-us	In this paper, we utilize the reg-ularity of rules triggered under the influence of activities to design an algorithm CoA(Clustering of Activity), which clustersactivities and respectively constructs the inference networks, subsequently, we calculate the shortest path between smart nodesand substitute the results into AAoRN(Allocation Algorithm of Rete Inference Nodes), which is proposed to overcome hier-archical delay for optimally allocating each inference node.

zh-cn	理论分析和实验结果表明，本文机制在有效利用智能节点资源的同时降低了大致 55% 的延迟。
en-us	Theoretical analysis and experimental results show that the pro-posed mechanism efficiently utilizes the resources and has reduced the delay by about 55% .

zh-cn	为了实现自动确定类别数的高精度遥感影像分割，提出一种自适应类别的层次高斯混合模型(Hierar-chical Gaussian Mixture Model，HGMM)遥感影像分割算法。
en-us	To accurately segment remote sensing image and automatically determine the number of classes, a Hierar-chical Gaussian Mixture Model (HGMM)based remote sensing image segmentation algorithm with self-adaptive number ofclasses is proposed.

zh-cn	提出算法采用多个高斯混合模型加权和定义 HGMM，用于建模具有非对称，重尾和多峰等复杂特性的影像统计模型。
en-us	In the proposed algorithm, HGMM is defined by the weighted sum of several Gaussian Mixture Models(GMM), which is used to model the asymmetric, heavy-tailed and multimodal distributions of image.

zh-cn	采用期望最大化算法(Expectation Maximization，EM)求解模型参数。
en-us	Expectation Maximi-zation (EM)is used to estimate the model parameters.

zh-cn	为了实现自动确定类别数，采用贝叶斯信息准则(Bayesian Information Criterion，BIC)求解最优类别数，其中惩罚项采用加权像素数定义。
en-us	Bayesian Information Criterion (BIC)is used to solve the optimalnumber of classes, where penalty term is defined by the weighted number of pixels.

zh-cn	为了验证提出算法可行性和有效性，对模拟和全色遥感影像进行分割实验，并对分割结果进行定性和定量分析。
en-us	To test the feasibility and availability of the proposed algorithm, segmentation experiments are carried out on simulated and panchromatic remote sensing images.

zh-cn	结果表明 HGMM 具有准确建模复杂统计分布的能力，提出算法具有高精度和高效率，同时可自动确定最优类别数。
en-us	Segmentation results are analyzed qualitatively and quantitatively, which show that HGMM can accurately model the compli-cated statistical distributions. The proposed algorithm can obtain high accuracy and has good efficiency, as well as determinethe optimal number of classes.

zh-cn	车载自组织网络中节点的高速移动性使得网络拓扑频繁变化，造成路由效率低下。
en-us	The high-speed mobility of the nodes makes the network topology change frequently, and the transmissionpath can be easily interrupted, so the routing efficiency is lower in Vehicular ad hoc network (VANET).

zh-cn	本文提出了一种面向高速路车联网场景的自适应路由方法。
en-us	We present an a-daptive routing method for high-speed-road scenario of the Internet of Vehicle in this paper.

zh-cn	本方法采用了贪婪机会转发(GOF)算法，在选择下一跳转发节点时，同时考虑到目的节点的距离计算、节点间的链路状态以及下一跳的有效节点度状况来找出最优转发节点，并提出新的计算连通概率的方法。
en-us	This method uses Greedy Op-portunity Forwarding (GOF)algorithm to find the optimal forwarding node when the next hop forwarding node is selectedand it takes into account the distance calculation of the destination node, the link state between the nodes and the effectivenode degree of the next hop. We propose a new method to calculate the probability of connectivity.

zh-cn	仿真实验和实际道路场景的测试表明，与相关算法相比在路由稳定性方面表现出较好的效果。
en-us	The simulation resultsand tests of the actual high-speed-road scenario show that our RAR method has good performance in the stability of routing, which is compared with the relative algorithms.

zh-cn	线性密码分析是针对分组密码的强有力的攻击方法，估计分组密码抵抗线性密码分析的能力是分组密码安全性评估的重要内容之一。
en-us	Linear cryptanalysis is a powerful attack on block ciphers. To evaluate the security against linear cryptanal-ysis is one of the most important part for the security evaluation of block ciphers.

zh-cn	基于实际应用背景，提出了“四分组类 CLEFIA 变换簇”的概念，
en-us	In this paper, the concept of four-blockCLEFIA-like transform cluster is put forward based on the background of practical application.

zh-cn	并利用变换簇中两种特殊分组密码结构的线性逼近之间的关系，给出了变换簇中所有密码结构抵抗线性密码分析的安全性评估结果，并提出了需要进一步探讨的若干问题。
en-us	Using the relation betweenlinear approximations of two special block cipher structures, security evaluation against linear crypt analysis for all block ci-pher structures of the cluster is given. Moreover, some open problems are given.

zh-cn	这种利用变换簇对分组密码进行研究的方法，为分组密码的安全性评估提供了一个较为新颖的思路。
en-us	We provide a novel idea for the security e-valuation of block ciphers by using transform cluster to study block ciphers.

zh-cn	如何在轨迹数据发布时保护用户隐私信息并且最大程度地减少数据损失是隐私保护研究领域的一个重要课题。
en-us	How to preserve users'privacy information and minimize the loss of information when publishing trajecto-ry data has become an important topic in the research field of privacy preservation.

zh-cn	本文提出一种基于单点收益的轨迹隐私保护方法，在满足用户隐私要求的情况下，根据收益计算结果，在轨迹数据集中抑制位置点或者添加假轨迹，保证每次处理轨迹数据集时能达到最大收益，从而减少信息损失。
en-us	In this paper, we propose a trajectory pri-vacy-preserving method based on single point gain, which satisfies the privacy requirements of users. According to the singlepoint gain values, we suppress location points or add dummy trajectories into the trajectory dataset to ensure that the maxi-mum benefit can be achieved at each iteration, thus reducing the loss of information.

zh-cn	理论分析和实验结果表明，在隐私容忍度要求较高或者攻击者数量较多的情况下，本文方法能在保证隐私保护强度前提下有效降低数据损失率。
en-us	Theoretical analysis and experimental results show that, in the case of high privacy tolerance or a large number of attackers, the proposed method effectively re-duces the information loss rate while guaranteeing the intensity of privacy preserving.

zh-cn	本文研究了无线携能通信网络中的多窃听者场景下，基于无线能量收集放大转发中继的协作机密信息安全传输问题。
en-us	We research on cooperative information security transmitting using energy harvest amplify-and-forward re-lay in the wireless information and power transfer network with multiple eavesdroppers.

zh-cn	提出了两种低复杂度的零空间波束形成方案。
en-us	Two low-complexity methods usingzero-space beaforming technique are proposed.

zh-cn	分别利用接收者或窃听者方位先验信息，将待优化的目标矢量投射到接收者或窃听者信道的零空间。
en-us	Using the prior location information of receiver or eavesdroppers, our meth-ods project the target vector to the zero space of receiver or eavesdroppers.

zh-cn	与原协作波束形成方法相比，由于降低了待优化目标矢量的空间自由度，本文方法运算复杂度较低。
en-us	Computational complexity of the method is lower than that of classical method since space freedom of the target vector is reduced.

zh-cn	特别的，由于第二种方法目标函数中将窃听者的交互信息迫零，将原始拟凸优化问题转化为凸问题求解，进一步降低了运算量。
en-us	Furthermore, second method induces theeavesdropper's mutual information of objective function to be zero, the original quasi-convex problem is transformed into aconvex form. Thus, computational complexity of the method is apparently reduced compared with that of classical method.

zh-cn	实验研究验证了本文方法的合理性。
en-us	Result of experiment verify validity of our proposed methods.

zh-cn	糖尿病视网膜病变是成年人致盲首因，视网膜血管分割是诊断糖尿病视网膜病变的基础。
en-us	Diabetic retinopathy is the leading cause of blindness in adults, and the retinal vessels segmentation is thebasis for the diagnosis of diabetic retinopathy.

zh-cn	为提高视网膜血管分割准确性，提出一种基于多模型融合和区域迭代生长的视网膜血管自动分割算法。
en-us	To improve the accuracy of retinal vessels segmentation, an automatic retinalvessel segmentation method based on multi-model fusion and region iterative growth is proposed.

zh-cn	首先，预处理后分别构建数学形态学、匹配滤波器、尺度空间分析、多尺度线检测和神经网络模型初步分割视网膜血管，为减少噪声取五个分割结果的均值作为初步输出。
en-us	Firstly, the mathematicalmorphology, matched filter, scale-space analysis, multi-scale line-detection and neural network models were established tosegment retinal vessels initially, and the mean value of the five segmentation results was taken as the preliminary output toreduce the noise.

zh-cn	其次，设计掩膜分离渗出物和视盘，将数学形态学模型分割结果替换掩膜白色区域，并融合初步输出生成组合结果。
en-us	Secondly, after exudates and optic disc were separated with a mask developed, the white areas in the maskwere replaced by the segmentation result of the mathematical morphology model, and then the combined result was generatedwith replaced mask and preliminary output fused.

zh-cn	最后，考虑视网膜血管先验知识，对组合结果阈值分割和区域迭代生长后获取最终结果。
en-us	Finally, considering the prior knowledge of retinal vessels, final resultswere obtained after threshold and region iterative growth.

zh-cn	实验结果表明，该算法分割 DRIVE 和 STARE 眼底图像库视网膜血管的检测精度、敏感度和特异性分别为 09457、0.7843、0.9815 以及 0.9472、0.7826、0.9803，优于多数经典算法。
en-us	The experimental results demonstrate that the accuracy, sensitivityand specificity for segmenting the retinal vessels in the DRIVE and STARE fundus image datasets are 0. 9457, 0. 7843, 0. 9815 and 0. 9472, 0. 7826 and 0. 9803, respectively, which is superior to most classical algorithms.

zh-cn	针对工作于 underlay 模式的认知无线网络(CRN，Cognitive Radio Network )上行功率控制问题，本文提出一种基于多天线波束赋形，由认知基站和认知用户联合优化的分布式上行功率控制算法。
en-us	To solve the uplink power control problem in underlay cognitive radio network (CRN), this paper propo-ses a distributed uplink power control algorithm based on multi-antenna beamforming, which is jointly optimized by cogni-tive base station and secondary users.

zh-cn	联合优化的具体步骤为
en-us	The specific steps of joint optimization are as follows.

zh-cn	认知基站通过求解最大广义特征值问题完成多天线波束赋形优化;
en-us	Cognitive base station accom-plishes multi-antenna beamforming optimization by solving the maximum generalized eigenvalue problem.

zh-cn	认知用户先将非线性功率优化问题转换为几何规划凸优化问题，再使用梯度法完成分布式发送功率优化;
en-us	Secondary users firstly transform the nonlinear power optimization problem into the geometric programming convex optimization problem, then implement the distributed transmitting power optimization through gradient method.

zh-cn	认知基站和认知用户交替优化，实现网络效用最大化。
en-us	The maximum network utility is re-alized via the alternating optimization between cognitive base station and secondary users.

zh-cn	数值仿真显示，同只优化认知用户功率的上行功率控制算法相比，认知基站和认知用户联合优化的上行功率控制算法不仅能得到更大的网络效用值，而且对主用户的干扰具有鲁棒性。
en-us	Numerical simulation results show that compared with the existing uplink power control algorithm which only optimizes the powers of secondary users, the pro-posed algorithm can not only obtain larger network utility value but also be robust to the effect of the interferences from theprimary users.

zh-cn	为提高光电轴角编码器的分辨力，提出一种新型莫尔条纹信号细分方法并建立基于 FPGA 的光电位移信号倍频系统。
en-us	In order to improve the resolution of photoelectric shaft angle encoder, a method of subdividing high fre-quency-doubling Moire fringe signal is proposed and a frequency-doubling system of photoelectric potential shift signal basedon FPGA is established.

zh-cn	根据理想莫尔条纹光电信号的数学模型，利用多倍角正余弦信号的函数性质，将原始莫尔条纹信号推导为 n 倍频的高阶信号;
en-us	According to the mathematic model of ideal Moire fringe photoelectric signal, the original Moirefringe signal is deduced into n-fold high-order signal by using the function property of multi-angle sine-cosine signal.

zh-cn	由幅值细分理论，离线建立基于高阶正余弦信号的高分辨力幅值细分查找表;根据增量式、绝对式光电编码器的不同功能，分别阐述了应用该幅值细分查找表实现编码器高分辨力的倍频技术;同时又指出本文细分方法应用的约束条件。
en-us	The different functions of the encoder are described, and the frequency doubling technique of high resolution by using the ampli-tude subdivision lookup table is described respectively.

zh-cn	最后，以直径为 40mm，分辨率为 2500P/R 的欧姆龙 E6B2-CWZ6C 增量式光电编码器为实验对象，
en-us	Finally, an Omron E6B2-CWZ6C incremental photoelectric encoderwith a diameter of 40 mm and a resolution of 2500 P/R is taken as the experimental object.

zh-cn	在转速范围 200 ～ 3000rpm 的同步电机驱动下，编码器输出波形频率范围约为 8。3kHz ～ 125kHz，在基于频率为10kHz 的模拟输入信号下，采用本文细分方案设置四倍频设计实验，该系统可以快速将频率增加到原来频率的 4 倍;
en-us	Driven by a synchronous motorwith a speed range of 200 ～ 3000 rpm, the output waveform frequency range of the encoder is about 8. 3 kHz ～ 125 kHz. Un-der the analog input signal with a frequency of 10 kHz, the subdivision scheme is adopted. In the quadruplicated frequencydoubling experiment, the system can increase the frequency to 4 times of the original frequency.

zh-cn	同时，基于 4 倍频原理设计了 128 倍频实验，并进行实验验证，同样得到该系统可以快速增加到输入频率的 128 倍。
en-us	At the same time, based onthe principle of 4 times frequency, the 128 times frequency experiment is designed and verified by experiments. The systemcan also be quickly increased to 128 times the input frequency.

zh-cn	该设计方法及系统与传统细分方法相比较，具有开发周期短、集成度高、模块化、速率快等特点。
en-us	Compared with the traditional subdivision circuit, the design method and system have the characteristics of short development cycle, high integration, modularization and simple modifica-tion.

zh-cn	本文引入显示当前子载波质量的信道状态矩阵，以系统总功耗、单个子载波上的功耗、总时延、干扰温度限和单个子载波上的次用户数等为约束条件，以能效为目标函数，建立多约束条件下的分式规划机制。
en-us	A kind of novel sub-carrier dispatching approach based on game strategy for EEO (named EESA-EG)hasbeen put forward. In this approach, we adopted the channel state matrix to show the quality of sub-carriers under the bannerof relative constraint factors with the height of secondary user, the total data transmission rate limit, total power consumptionconstraint and power consumption constraint on a single sub-carrier. At the same time, the nonlinear fractional programming mechanism is designed to pursue the maximum of energy efficiency, which is used as the objective function.

zh-cn	设计演化博弈算子，为每个次用户建立效用函数，
en-us	The utility func-tion for each secondary user is set up when the game operator is developed.

zh-cn	当每个次用户的效用函数达到最优时，演化博弈达到 Nash 均衡点，此时的策略组合认为是能效相对最优的资源分配状态。
en-us	If the utility function reaches the optimization, the evolutionary game process will become Nash equilibrium, which is regarded as the relatively optimal energy efficient re-source dispatching status.

zh-cn	通过实验仿真对比，本文给出的 EESA-EG(Energy Efficient Subcarrier Allo-cation withEvolutionary Game)算法的能效相对最优，且给出了相对最为合理的子载波分配方案，为信道状态更优的子载波分配了更多的子载波。
en-us	Based on our experimental tests, our proposed approach gives the relatively reasonable sub-carrierdispatching effect, which can dispatch more sub-carriers with relatively better channel state.

zh-cn	ARX(Addition，Rotation，Xor)算法基于模整数加，异或加和循环移位三种运算，便于软硬件的快速实现。
en-us	ARX(Addition, Rotation, Xor)algorithms are based on three operations:modular addition, exclusive-ORand bitwise rotation, which execute very fast in both software and hardware.

zh-cn	不可能差分分析和零相关分析是攻击 ARX 的有效方法，攻击的关键是搜索更长轮数、更多数量的不可能差分和零相关区分器。
en-us	Impossible differential cryptanalysis and zero-correlation linear cryptanalysis are among the most powerful attacks for ARX ciphers. The key problem for the attacks is searching more and longer impossible differentials and zero-correlation linear approximations.

zh-cn	目前很多的搜索方法都没有充分考虑非线性组件的性质，往往不能搜索得到更好、更准确的区分器。
en-us	Although there are many au-tomatic search algorithms, these approaches do not fully utilize the non-linear component properties, which cannot reachtheir potential.

zh-cn	本文提出了基于 SAT(Satisfiability)的 ARX 不可能差分和零相关区分器的自动化搜索算法。
en-us	A SAT(Satisfiability)-based model to automatic search for impossible differentials and zero-correlation lin-ear approximations in ARX is proposed.

zh-cn	通过分析 ARX 算法组件的性质，特别是常规模加和密钥模加这两种非线性运算差分和线性传播的特性，给出了高效简单的 SAT 约束式。在此基础上，建立 SAT 模型进行区分器的搜索。
en-us	By exploiting behaviors of every component, especially the differential and linearpropagation properties through general modular addition and key modular addition operations, we generate computable andeasily implementable constraints and establish the SAT-based model.

zh-cn	作为应用，本文首次给出了 Chaskey 算法 13 条 4 轮不可能差分和 1 条 4 轮零相关区分器;
en-us	As applications, we apply our model to Chaskey, SPECK and HIGHT. For Chaskey, we are able to find 13 4-round impossible differentials and 1 4-round zero-correlationlinear approximation for the first time.

zh-cn	首次给出了 SPECK32 算法 10 条 6 轮零相关区分器和 SPECK48 算法 15 条 6 轮零相关区分器;
en-us	For SPECK, we first find 10 6-round zero-correlation linear approximations ofSPECK32 and 15 6-round zero-correlation linear approximations of SPECK48.

zh-cn	在较短的时间内，给出了 HIGHT 算法 17 轮的不可能差分和零相关区分器。
en-us	Besides, we find 4 17-round impossible dif-ferentials and zero-correlation linear approximations of HIGHT in a few minutes.

zh-cn	与现有结果相比，无论是区分器的条数，还是搜索区分器的时间均有明显的提升。
en-us	Compared with the existing results, boththe number and the search time of distinguishers are significantly improved.

zh-cn	此外，通过重新封装求解器 STP 的输出接口，建立了自动化的 SAT \SMT 分析模型，能够给出 ARX 算法在特殊输入输出差分和掩码集合下，不可能差分和零相关区分器轮数的上界。
en-us	In addition, by repackaging the output interface of the STP solver, we establish the automated SAT \SMT model, which can give the upper bound of rounds of impossibledifferentials and zero-correlation linear approximations under special input and output differential and mask sets for ARXalgorithm.

zh-cn	研究了低信噪比时双基地 MIMO 雷达目标跟踪问题，提出了一种基于改进 AAJD(Adaptive AsymmetricJoint Diagonalization)的目标跟踪算法。
en-us	The target tracking problem of bistatic MIMO radar under low SNR is studied, and a target tracking algo-rithm based on the improved AAJD(Adaptive Asymmetric Joint Diagonalization)is proposed.

zh-cn	首先，对 AAJD 算法进行改进，得到与特征值作用相同的变量，从而找出大特征值变量对应的特征矢量，解决了低信噪比时 AAJD 算法信号子空间扩展问题。
en-us	Firstly, the AAJD algorithm isimproved to obtain the variable as the eigenvalue and the criterion of selecting the feature vector. The eigenvalue variablesare used to find the eigenvectors corresponding to the large eigenvalue variables. And the problem of signal subspace expan-sion in AAJD algorithm is solved at low SNR.

zh-cn	其次，在非稳定跟踪状态时消除特征值变量误差积累的影响，得到更加准确的信号子空间，并对 ESPRIT 算法进行改进，实现收发角度的配对和相邻时刻角度的自动关联。
en-us	Secondly, the influence of the accumulation of the eigenvalue variables erroris eliminated in the unsteady tracking state. The obtained signal subspace is more accurate. Since the estimated eigenvectorsorder is random at each time, the ESPRIT algorithm is improved to achieve the automatic pairing of transceiver angle of thesame moment and the automatic association of the angle of the adjacent moment.

zh-cn	仿真结果表明改进 AAJD 算法低信噪比时能够实现角度跟踪，且收敛速度和稳定性能明显优于 AAJD算法。
en-us	The simulation results show that the im-proved AAJD algorithm can realize the angle tracking with low signal to noise ratio, and the convergence speed and stabilityperformance are significantly better than AAJD algorithm.

zh-cn	针对在初始先验信息缺失时磁性目标滤波跟踪方法发散问题进行研究，本文提出了一种多初值模型的解决框架，
en-us	In order to solve the divergence of the magnetic target filter tracking method when the initial prior informa-tion is missing, this paper proposes a solution framework of multiple initial value models.

zh-cn	并以平方根形式的中心差分卡尔曼滤波器(Square-Root Central Difference Kalman Filter，SRCDKF)为例，结合多初值模型得到了 SRCDKF 自适应磁性目标跟踪算法。
en-us	Taking the square-root centraldifference Kalman filter(SRCDKF)as an example, the SRCDKF adaptive magnetic target tracking algorithm is obtained bycombining multiple initial value models.

zh-cn	文章首先根据远距离磁偶极子的磁场等效性，建立了多初值滤波跟踪模型，
en-us	Firstly, based on the magnetic field equivalence of long-distance magnetic dipoles, amulti-initial filter tracking model is established.

zh-cn	然后基于最大似然选择理论推导了如何从多模型中选择最佳结果，即多初值模型的选择方法，
en-us	Then based on the maximum likelihood selection theory, the method of howto choose the best result from multiple models is derived.

zh-cn	最后以SRCDKF 滤波器为滤波单元，得到了基于 SRCDKF 的自适应磁性目标跟踪算法。
en-us	Finally, using SRCDKF filter as the filtering unit, an adaptive mag-netic target tracking algorithm based on SRCDKF is obtained.

zh-cn	经过仿真试验表明:(1)多初值模型建立和选择方法的有效性;
en-us	The simulation experiments show that:(1)the validity of themulti-initial model establishment and selection method;

zh-cn	(2)基于 SRCDKF 的自适应磁性目标跟踪算法，在初始位置信息缺失的情况下，能够有效完成对磁性目标的跟踪;
en-us	(2)the adaptive magnetic target tracking algorithm based on SRCD-KF can effectively complete the tracking of magnetic targets in the absence of initial position information;

zh-cn	(3)以不同滤波器为滤波单元的自适应跟踪算法跟踪试验结果表明，多初值模型的解决框架可解决初值先验未知下的跟踪问题。
en-us	(3)the trackingresults of the adaptive tracking algorithm with different filters as the filtering unit show that the solution framework of themulti-initial value model can provide a method to solve the tracking problem under the initial value unknown.

zh-cn	为了处理诸如高斯、伽马、极值、瑞利、均匀或贝塔等基本灰度分布情形下的阈值选取难题，本文提出了一种跨域香农熵最大化导向的自动阈值选取方法。
en-us	When the basic distribution constituting one gray level histogram is presented as a non-Gaussian distribu-tion, such as gamma, extreme value, Rayleigh, uniform or beta distribution, how to automatically select the best possible seg-mentation threshold is still quite challenging. To deal with the issue of threshold selection in the above-mentioned differentgray level distributions, we propose an automatic method of threshold selection that is guided by maximizing cross-regionShannon entropy under edge guidance and contour constraints.

zh-cn	该方法利用不变的引导边缘图像和变化的约束轮廓图像共同构造出一系列持续变化的一维灰度直方图，并采用香农熵作为熵计算模型，
en-us	This method utilizes constant guiding edges and dynamically changing contours to construct a series of continuously changing one-dimensional gray level histograms, and adopts Shannonentropy as the entropy calculation model.

zh-cn	从而得以跨越图像中若干局部区域去计算跨域香农熵，并以最大跨域香农熵对应的阈值作为最终阈值。
en-us	Therefore, it can calculate the cross-region Shannon entropy across several local re-gions in the image, and it takes the threshold corresponding to the maximum cross-region Shannon entropy as the final seg-mentation threshold.

zh-cn	在 40 幅合成图像和 50 幅真实世界图像上的实验结果表明，该方法虽然在计算效率方面不优于 Masi 熵阈值方法、Tsallis 熵阈值方法、局部香农熵阈值方法和迭代三类阈值方法，但在分割适应性方面有显著增强，且在误分割率方面有显著下降。
en-us	The proposed method is compared with Masi entropy thresholding, Tsallis entropy thresholding, Shan-non entropy thresholding, and iterative triclass thresholding on 40 synthetic images and 50 real-world images. The results show that the proposed method is not superior to the 4 compared methods in computational efficiency, but it has significantenhancement in segmentation adaptability and a significant decrease in the mis-segmentation rate.

zh-cn	在已有的极化合成孔径雷达(PolSAR)图像恒虚警(CFAR)检测方法中，存在着高分辨下杂波模型适用性差的难题。
en-us	There is a problem of the poor applicability of clutter models under high resolution with the existing con-stant false alarm rate (CFAR)detection methods in polarimetric synthetic aperture radar (PolSAR)imageries.

zh-cn	为此提出了一种 Fisher 分布下的 CFAR 检测方法，并定义虚警损失率(CFAR Loss，CL)以量化评估算法的恒虚警保持性能。
en-us	To solve the problem, a CFAR detection method is proposed under Fisher texture, and the CFAR loss (CL)is defined to quantitatively e-valuate the CFAR maintenance performance of detection methods.

zh-cn	首先，在乘积模型框架下引入 Fisher 纹理变量，推导出了多视极化匹配滤波(Multi-look PolarizationMatched Filter，MPMF)检测量的概率密度函数(PDF)。
en-us	Firstly, the probability density function (PDF)of themulti-look polarization matched filter (MPMF)metric is derived based on product model combining the hypothesis of theFisher texture.

zh-cn	然后，对 PDF 积分得到了虚警概率的闭合解析式，并设计了CFAR 检测流程。
en-us	Secondly, the PDF of the MPMF metric is integrated, and the analytical expression of the false alarm rate isobtained.

zh-cn	仿真数据和机载合成孔径雷达(Airborne SAR，AIRSAR)数据实验结果表明，与基于 K 分布、G0分布、Wishart 分布的 CFAR 检测算法以及双参数恒虚警(two-Parameter CFAR，2P-CFAR)算法相比，新方法具有良好的恒虚警保持性能和检测性能，具有较强的鲁棒性，且运算时间未明显增加，
en-us	The process of the proposed CFAR detection method is also designed. Compared with other methods based on K, G0and Wishart distribution, as well as the two-parameter CFAR (2P-CFAR)detector via simulation data and airborne SAR(AIRSAR)data, the proposed method has good constant false alarm maintenance performance and detection performance, strong robustness and no significant increase in operation time.

zh-cn	相比于其他检测方法，品质因数(Figure of Merit，FoM)平均高出 12.80% 。
en-us	Compared with other detection methods, the figure of merit(FoM)is 12. 80% higher on average.

zh-cn	路径覆盖是软件测试领域重要的测试方法之一。
en-us	Path coverage is one of the most important testing methods in the field of software testing.

zh-cn	在搜索空间中，找到一组测试数据满足路径覆盖是一个具有挑战性的问题。
en-us	It is a challeng-ing problem to find a set of test data to satisfy the path coverage in the search space.

zh-cn	因此，自动生成测试数据是软件测试的关键问题。
en-us	Therefore, automatically generating testdata is a key issue in software testing.

zh-cn	文中提出一种基于否定选择遗传算法的路径覆盖测试数据生成方法，将否定选择策略融入遗传算法，动态优化遗传算法的种群数据，自动生成覆盖目标路径的测试数据。
en-us	In this paper, a generation method of test data based on the negative selection geneticalgorithm is proposed. The negative selection strategy is integrated into the genetic algorithm, and the population data of thegenetic algorithm is dynamically optimized, and the test data covering the target path is automatically generated.

zh-cn	多个基准程序和工业程序的实验结果表明，与随机方法和遗传算法比较，文中方法能够提高路径覆盖率，减少冗余测试数据的生成。
en-us	The experi-mental results show that compared with the random method and the genetic algorithm, the proposed method can improve thepath coverage and reduce the generation of redundant test data.

zh-cn	物理不可克隆函数(Physical Unclonable Function，PUF)凭借其固有的防篡改、轻量级等特性，在资源受限的物联网安全领域拥有广阔的应用前景，其自身的安全问题也日益受到关注。
en-us	Due to the tamper proof and lightweight nature, physical unclonable function are proposed to provide securi-ty with low cost for the internet of things. Security of PUF itself has attracted much more attention.

zh-cn	多数强 PUF 可通过机器学习方法建模，抗机器学习的非线性结构 PUF 难以抵御侧信道攻击。
en-us	Almost all strong PUFcan be modeled using machine learning techniques, while the complicated PUF with non-linear structure, which are resistantto machine learning modeling, are vulnerable to side channel attacks.

zh-cn	本文在研究强 PUF 建模的基础上，基于统一符号规则分类介绍了现有的强 PUF 侧信道攻击方法如可靠性分析、功耗分析和故障注入等，重点论述了各类侧信道 /机器学习混合攻击方法的原理、适用范围和攻击效果，
en-us	According to the unified symbol rules, the paper pres-ents existing side channel attack methods on strong PUFs, such as reliability analysis, power analysis and fault injection. The principles, performance and applications of side channel/machine learning hybrid attack methods are elaborated and ana-lyzed.

zh-cn	文章最后讨论了 PUF 侧信道攻击面临的困境和宜采取的对策。
en-us	In the end, the temporary predicaments and countermeasures of side channel attack on PUF are discussed.

zh-cn	为解决弹性光网络中虚拟网络映射时能耗严重、资源分配不均的问题，该文提出一种联合能耗与负载均衡的虚拟网络映射(PC-LB-VONE)方法。
en-us	Due to the energy consumption and imbalance resources allocation in virtual optical network embedding o-ver elastic optical networks, a joint power consumption and load balancing for virtual optical network embedding (PC-LB-VONE)is proposed.

zh-cn	在虚拟节点映射时，选择相邻链路长度短、光节点计算资源多与相邻链路带宽资源多的光节点映射。
en-us	During virtual node embedding, we select the physical node which has shorter length of its adjacentlink, and smaller difference between its computing resources and bandwidth resources of its adjacent link.

zh-cn	在虚拟链路映射时，提出一种基于极大团的候选光路资源匹配度单路径映射策略。
en-us	During virtual linkembedding, considering the resource matching degree of candidate optical paths, a single-path embedding strategy based onmaximal clique is proposed.

zh-cn	当单路径映射失败时，设计基于链路负载均值的多路径映射策略。
en-us	When the single-path embedding strategy fails, a multi-path embedding strategy based on the av-erage link load will be taken.

zh-cn	仿真结果表明，所提方法能在减少弹性光网络能耗的同时均衡网络负载。
en-us	Simulation results show that the proposed PC-LB-VONE algorithm can effectively decrease theenergy consumption and balance the traffic load.

zh-cn	在 LTE-A 网络的过载场景中，机器类通信(Machine Type Communication，MTC)设备的突发性接入会使得网络发生严重的拥塞，甚至死锁，造成网络的接入效率低下。
en-us	In the overload scenario of the LTE-A network, the bursty access of the machine type communication(MTC)device may cause serious congestion or even deadlock in the network, resulting in low network access efficiency.

zh-cn	在可用前导资源有限的前提下，根据实时负载数控制发起接入的设备数可以有效降低前导的碰撞概率，但是控制方法尚不明确。
en-us	Under the premise that available preambles are limited, controlling the number of devices that initiate the access according to the real-time load can effectively reduce the collision probability of the preamble, but the control method is not clear.

zh-cn	为此，本文提出了一种接入类别限制(AccessClass Barring，ACB)的动态接入机制来优化海量 MTC 的随机接入性能。
en-us	To do this, this paper proposes a dynamic access class barring (ACB)mechanism to optimize the random access performance of the massive MTC. An estimation model based on back-off prediction is established.

zh-cn	建立了一种基于退避预测的估计模型，该模型根据重传的设备数和状态转移过程估计出了实时活跃的设备数。
en-us	The model estimates the number of real-time active devices based on the number of retransmitted devices and the state transition process.

zh-cn	结合估计模型和 ACB 参数调整可以最优化实时成功接入的设备数，能够有效地提高设备的接入成功率。
en-us	Moreover, combined with the adjustment of the ACB parameter, the number of successfully accessed devices in real time can be optimized, and the ac-cess success rate of the device is effectively improved.

zh-cn	本文在不同负载强度场景下，将提出的 ACB 动态接入机制和现有的动态 ACB 机制的接入性能进行了比较。
en-us	The performance of the proposed dynamic ACB scheme is compared with that of the existing dynamic ACB schemes under different traffic degrees.

zh-cn	仿真结果证明，本文提出的 ACB 动态接入机制的接入成功率为 100% 。
en-us	Simulation results prove that the access suc-cess probability of the proposed dynamic ACB scheme is 100% .

zh-cn	而且，与现有的 ACB 动态接入机制相比，所提的新方案的平均接入时延更低。
en-us	The performance of the proposed dynamic ACB scheme is comparedwith that of the existing dynamic ACB schemes under different traffic degrees. Simultaneously, the proposed novel scheme can get loweraverage access delay comparing with the existing dynamic ACB schemes.

zh-cn	该文主要研究基于卷积神经网络(Convolutional Neural Networks，CNN)的海上目标探测背景分类方法。
en-us	In this paper, the background classification method of marine target detection based on convolutional neuralnetwork (CNN)is mainly studied.

zh-cn	以 CNN 中的经典网络 LeNet 为例，基于 IPIX 雷达实测数据集，进行控制变量的模型训练，对分类准确率、训练速度、一维信号的二维特征图变化等进行分析，基于实测数据集验证了利用 CNN 在一维雷达回波信号中进行海杂波与噪声分类的可行性，
en-us	Taking LeNet as an example, based on the IPIX measured data set, the model training through controlling variables is carried out. The feasibility of using CNN in the classification of sea clutter and noise in onedimensional radar echo signal is studied, and the influence of factors such as data preprocessing,

zh-cn	并同步分析了数据预处理、单个样本序列长度、网络结构参数等影响因素对分类准确率的影响，并针对典型探测场景分类进行了验证。
en-us	single sample sequencelength and network structure parameters on classification accuracy is analyzed synchronously, and verified for the typical de-tection scene classification.

zh-cn	结果表明，LeNet 卷积神经网络在海上探测背景区分方面，具有很高的分类准确率，并且数据预处理方式、单个样本序列长度对结果影响显著，而网络结构参数有一定的调节区间，在此区间内调整，影响不显著，所提方法在顺/逆浪向、高/低海况条件下杂波分类与杂噪分类方面具有很高的准确率。
en-us	The application results of measured data show that the proposed method has high accuracy inclutter classification and noise classification under the conditions of forward/reverse direction and high/low sea conditions.

zh-cn	本文首先讨论了大规模 MIMO-OFDM(Multiple-Input Multiple-Output Orthogonal Frequency Division Multi-plexing)系统信道的空间相关性，提出了一种基于隐聚类假设的信道建模方法，利用概率参数模拟不同的传播环境。
en-us	The paper discusses the spatial correlation of channels in massive MIMO-OFDM system, and proposes ahidden clustering hypothesis to simulations different propagation environments with probability parameters.

zh-cn	然后，将机器学习领域的狄利特雷过程(Dirichlet Process，DP)引入到稀疏贝叶斯学习(Sparse Bayesian Learning，SBL)模型中，建立了 DP-SBL 结构，在信道估计的同时挖掘并利用大规模 MIMO 系统所特有的隐聚类特征。
en-us	Then, the Dirichlet process (DP)in machine learning is introduced into sparse Bayesian learning (SBL)model and a DP-SBL struc-ture is established. Consequently, the hidden clustering features of massive MIMO system are explored simultaneously in theprocess of channel estimation.

zh-cn	接着，将 DP-SBL结构应用于大规模 MIMO-OFDM 系统中，在因子图上利用消息传递算法推导了一种基于隐聚类和狄利特雷过程的接收机算法。
en-us	Furthermore, the DP-SBL structure is applied to massive MIMO-OFDM systems, and a receiv-er algorithm based on hidden clustering and Dirichlet process is deduced by using message passing algorithm on factorgraphs.

zh-cn	最后，将本文提出的接收机算法和现有算法进行对比分析。
en-us	Finally, we compare the proposed algorithm with the existing algorithms.

zh-cn	结果表明，本文提出的接收机算法充分利用了大规模 MIMO-OFDM 系统特有的空间相关性，能够以较低的计算复杂度获得较强的鲁棒性和显著的性能增益。
en-us	Simulation results show that the proposed algorithm can exploit and utilize the spatial resources of massive MIMO-OFDM system. It can achieve remarkable perform-ance gain with low computation complexity and strong robustness.

zh-cn	在基于压缩感知的阵列失效单元近场诊断方法中，使用结构化随机采样策略构造的观测矩阵约束等距特性未知，采用 1 范数极小化凸优化算法将无法确保阵列失效单元的高概率精确诊断。
en-us	The restricted isometry property of observation matrix in near-field measurements is unknown using ran-dom under-sampling strategy in compressed sensing based methods, which has a negative influence on the probability of suc-cess rate of diagnosis when adopting 1 norm minimization.

zh-cn	针对这一不足，本文在深入研究非凸优化算法的基础上提出了一种基于随机扰动技术的非凸压缩感知近场诊断算法。
en-us	In order to overcome this limitation, a hybrid diagnosis algorithmusing random perturbation-non convex optimization for identification of impaired sensors in conformal arrays with near-fieldmeasurements is investigated.

zh-cn	首先在失效单元个数满足稀疏性的前提下构造差异性阵列，
en-us	Differential array composed of healthy array and damaged array is constructed in the case of the sparsity of the number of failed elements.

zh-cn	其次按照随机欠采样方式获取近场幅相信息，
en-us	Then the near-field data are acquired.

zh-cn	最后利用所提基于随机扰动技术的非凸优化算法对差异性阵列激励进行重构，从而实现对阵列失效单元的高概率精确诊断。
en-us	Finally, accurate diagnosis with highprobability is achieved by recovering the sparse excitation of differential array utilizing proposed algorithm.

zh-cn	数值仿真实验表明，所提算法避免了由于观测矩阵的约束等距特性未知对诊断性能造成的不利影响，并且克服了非凸范数易于陷入局部最优解的弊端，有效提高了阵列失效单元的诊断成功概率。
en-us	Numerical simu-lation results demonstrate that the proposed method avoids the adverse impact on the performance of diagnosis arising fromthe absence of apriori information on RIP of observation matrix, overcomes the problem of local minima associated to thenon-convex norm, and therefore improves the probability of success rate of diagnosis effectively.

zh-cn	内分泌系统是由各种内分泌细胞组成的复杂系统，其蕴含的基于荷尔蒙的反应扩散信息处理机制，对仿生智能理论和技术的研究具有非常重要的借鉴意义。
en-us	Endocrine system is a complex system composed of various endocrine cells. It contains a hormone-basedreaction diffusion information processing mechanism, which provides very important reference for the research of bionic in-telligence theory and technology.

zh-cn	在分析生物内分泌系统中荷尔蒙的反应扩散作用机理基础上，提出了人工反应扩散网络模型和基于该模型的自学习算法，
en-us	Based on the analysis of the reaction diffusion mechanism of hormones in biological endo-crine system, an artificial reaction diffusion network model and a self-learning algorithm based on the model are proposed.