zh-cn	针对现有的算法在解决前述问题上的不足，文中考虑了蛋白质的活性周期和连接强度，首先提出了一种基于动态图的蛋白质网络构建算法。
en-us	In view of the shortcomings of existing algorithms in solving the above problems, a protein network construction algorithm based on dynamic graph is firstly proposed by considering the active period and the connection strength of proteins in this paper.

zh-cn	然后基于密度聚类设计了一种在动态蛋白质网络上挖掘复合物的算法(PCMA)。
en-us	Then, a protein complex mining algorithm (PCMA) on dynamic protein network is designed based on the density clustering.

zh-cn	整个挖掘过程包含三个步骤：基于 DBSCAN(Density-Based Spatial Clustering of Applications with Noise)算法的蛋白质复合物生成；
en-us	The whole mining process consists of three steps: the generation of protein complex based on DBSCAN (density-based spatial clustering of applications with noise) algorithm;

zh-cn	基于合并增益的蛋白质复合物合并和基于归属度的复合物调整。
en-us	the combination of protein complex based on the combination gain and the adjustment of protein complex based on the degree of membership.

zh-cn	在多个公开的生物数据集上进行了实验，实验结果表明，所提算法在查全率、查准率和F-measure方面的性能都要优于现有的算法，且对输入参数不敏感。
en-us	Experiments are carried out on several open biological datasets. The experimental results show that the performance of the proposed algorithm is better than that of the existing algorithms in terms of recall, precision and F-measure, and it is not sensitive to the input parameters.

zh-cn	在保证蛋白质复合物挖掘准确性的前提下，算法的时间复杂度处于一个合理的范围之内。
en-us	On the premise of ensuring the accuracy of protein complex mining, the time complexity of the proposed algorithm is in a reasonable range.

zh-cn	针对非协作通信下多径信道直接序列扩频信号伪随机（PN，Pseudorandom）码的估计难题，本文在分析信号二阶统计特性的基础上，提出了一种基于最大似然（ML，Maximum Likelihood）的 PN 码和多径信道联合盲估计的方法。
en-us	To solve the problem of pseudorandom (PN) codes estimation for direct sequence spread spectrum (DSSS) signals over multipath channels in non-cooperative communication, based on analyzing the second-order statistics of the signals, a method for joint blind estimation of PN codes and channels with maximum likelihood (ML) is proposed.

zh-cn	该方法首先建立 PN 码和信道序列的最大似然数学模型，然后通过交替转换数学模型和使用迭代最小二乘投影（ILSP，Iterative Least Square Projection）算法实现 PN 码和多径信道的联合估计。
en-us	First, we establish a ML mathematical model of PN codes and multipath channels. Then, we iteratively transform the mathematical model and use the iterative least square projection (ILSP) algorithm to estimate the PN code and channel.

zh-cn	为了进一步降低算法复杂度和避免矩阵求逆，本文给出了算法的自适应求解方式。
en-us	Furthermore, to reduce the complexity of the algorithm and avoid the matrix inversion, we present an adaptive rule of our algorithm.

zh-cn	此外，针对低信噪比下信道估计误差引起 PN 码的估计精度下降的问题，本文提出了一种基于迭代总体最小二乘投影的改进算法。
en-us	Finally, to avoid the decrease of PN code estimation accuracy caused by the channel estimation error, especially under low signal-to-noise ratio, an improved algorithm based on the iterative total least squares projection (ITLSP) is presented.

zh-cn	所提算法不受 PN 码码型限制，并通过仿真实验验证了算法的有效性。
en-us	The proposed methods are applicable to all types of PN codes and the simulation results are presented to demonstrate the effectiveness of the algorithms.

zh-cn	为解决工业网络安全防护中工艺数据异常检测误报率较高的问题，本文提出一种基于时间序列的异常检测方法。
en-us	In order to solve the problem of high false alarm rate of abnormal detection of process data in industrial network security protection, this paper proposes an anomaly detection method based on time series.

zh-cn	该方法对工艺数据进行相关性分析、向量映射等处理，再采用堆叠自编码神经网络（SAE）对工艺数据特征进行降维，根据工艺数据在传输序列间的相互关联性，设计基于长短期记忆神经网络（LSTM）的异常检测模型，最后进行工艺数据异常检测仿真实验验证分析。
en-us	In this method, the process data is analyzed by association analysis and vector mapping, and the stacked auto-encoder neural network (SAE) is used to reduce the dimension of process data features. According to the correlation of process data in the transmission sequence, an anomaly detection model based on long and short term memory neural network (LSTM) is designed.  Finally, the simulation analysis of abnormal detection of process data is carried out.

zh-cn	实验结果表明，基于时间序列的异常检测模型能有效提高工艺数据异常检测准确率，并且误报率要低于传统隐马尔可夫异常检测模型，同时获得较好的异常检测实时性。
en-us	The experimental results show that the anomaly detection model based on time series can greatly improve the accuracy of process data anomaly detection, and the false positive rate is lower than the traditional hidden Markov anomaly detection model, and at the same time get better real-time performance of anomaly detection.

zh-cn	硅基光电晶体管在高频通信、自动控制、电力系统领域具有广泛的应用前景。
en-us	Silicon-based phototransistors have broad application prospects in the fields of high-frequency communication, automatic control, and power systems.

zh-cn	从系统验证和仿真的角度，迫切需要建立光电晶体管的等效电路模型，该模型需要包含电学特性和光学特性。
en-us	From the perspective of system verification and simulation, there is an urgent need to establish an equivalent circuit model of phototransistors, which needs to include electrical and optical characteristics.

zh-cn	本文提出了一种高频(100MHz~1GHz)硅基光电晶体管的 SPICE(Simulation Program with Integrated Circuit Emphasis)等效模型，包含器件的主要光电特性，通过 TCAD(Technology Computer Aided Design)仿真建立了模型中关键电学和光学参数的提取方法。
en-us	This paper proposes a SPICE equivalent model of high-frequency (100MHz~1GHz) silicon-based phototransistors, including the main photoelectric characteristics of the device, and the extraction method of key electrical and optical parameters in the model is established by TCAD simulation.

zh-cn	基于所建立的高频光电晶体管的 SPICE模型等效电路进行仿真，所得到的仿真结果能够完整描述光电晶体管的电学特性和光学特性，并验证了模型在器件模拟与电路应用上的可行性，表明本文所提出的 SPICE模型和参数提取方法，对于基于高频光电晶体管的系统仿真，具有参考价值。
en-us	Based on the established SPICE model equivalent circuit of the high-frequency phototransistor, the simulation results can fully describe the electrical and optical characteristics of the phototransistor, it shows that the SPICE model and parameter extraction method proposed in this paper have reference value for system simulation based on high-frequency phototransistor.

zh-cn	本文研究了带切割工序生产企业的工件调度优化问题。
en-us	This paper studies an optimization problem of the production scheduling with cutting process.

zh-cn	以最小化所有工件的最大完工时间为目标，建立了考虑一对多加工约束的混合流水调度问题的两阶段数学模型。
en-us	A two-stage mathematical model of hybrid flow-shop scheduling problem with one-to-many constraints is established to minimize the makespan of all jobs.

zh-cn	设计了基于问题特征的协同奔袭灰狼算法，制定了新的编码规则和狼群分级策略，改进了探狼游走策略，并提出了猛狼协同奔袭策略。
en-us	A cooperative attacking GWO is designed according to the problem feature, a new encoding scheme and the social hierarchy are developed. The search for the prey strategy is improved, and the collaborative running attack strategy is proposed.

zh-cn	通过改进的标准算例对 GA、GWO和 CDGWO 算法进行参数敏感性测试及求解对比。
en-us	The sensitivity test and the results comparison of GA, GWO and CDGWO are carried out by the improved standard test.

zh-cn	求解小规模问题时算法差异不明显，但是随着问题规模的增大，CDGWO求解效果性能稳定且进化效率较好。
en-us	Algorithms are not significantly different when solving small-scale problems. As the scale increasing, the CDGWO performs very stable and the evolutionary efficiency shows very well.

zh-cn	为实现三相逆变器的高效率运行，提出了一种新型三相谐振直流环节逆变器拓扑结构，其在直流环节设置了结构简单的辅助谐振电路。
en-us	In order to achieve high efficiency operation of three-phase inverter, a novel topology of the three-phase resonant DC (Direct Current) link inverter is proposed, in which a simple auxiliary resonant circuit is set up in the DC link.

zh-cn	分析了电路的工作流程。
en-us	The working flow of the circuit is analyzed.

zh-cn	实验结果表明开关器件实现了软切换，而且逆变器输出电流波形无明显畸变。
en-us	The experimental results show that the switching device achieves soft switching and the output current waveform of the inverter has no obvious distortion.

zh-cn	因此，该逆变器能实现高效率稳定运行。
en-us	Therefore, the inverter can realize high-efficiency and stable operation.

zh-cn	动态异构冗余(Dynamic Heterogeneous Redundancy, DHR)模型的安全性分析是拟态防御的核心问题之一。
en-us	The security analysis of the dynamic heterogeneous redundancy (DHR) system is one key issue of the cyber mimic defense.

zh-cn	本文针对 DHR 模型安全性量化分析问题提出了执行体-漏洞矩阵和服务体-漏洞矩阵模型，实现了 DHR 系统的形式化描述。
en-us	We propose the executor-vulnerability matrix (MEV) and the servant-vulnerability matrix (MSV) to achieve the formal representation of the DHR system.

zh-cn	提出了攻击序列法和服务体法的两种计算方法，从系统攻击成功率和被控制率对 DHR 系统进行安全性分析，推导出非合谋(合谋)盲攻击和非合谋（合谋）最优攻击 4 种场景下安全性指标的计算公式。
en-us	On this basis, the attack sequence method and the servant method are proposed to analyze DHR systems' security from the attack success rate and controlled time rate. We deduce the security index calculation under (non-) collusion blind attack and (non-) collusion optimal attack scenarios.

zh-cn	通过仿真实验分析了DHR模型各因素对系统安全性的影响，给出了增强 DHR系统安全性的具体建议。
en-us	Therefore, we analyze the influence of various factors on DHR security through simulation experiments. We give several suggestions to enhance the DHR system's security.

zh-cn	所提方法能用于 DHR系统的安全性量化分析和比较，为DHR系统构建提供量化决策支撑。
en-us	The proposed approach can be used to analyze DHR systems' security and assist in constructing DHR systems.

zh-cn	针对地闪电磁脉冲计算在广域和高精度方面存在的难题，采用非均匀网格划分技术对均匀网格时域有限差分法进行改进，所提出的非均匀网格时域有限差分法适合广域地闪电磁脉冲计算。
en-us	Aiming to difference limitations such as low computational accuracy and weak computational performance for wide-area lightning electromagnetic pulse (LEMP), a new non-uniform grid finite difference time domain (FDTD) algorithm is proposed for large space distant conditions based on traditional uniform grid FDTD algorithm.

zh-cn	计算了 100 km 以内的地闪地面水平电场（Er），揭示了 Er随回击距离变化所体现的波形变化规律。
en-us	The ground horizontal electric fields (Er) generated by cloud-to-ground lightning were calculated, and the distance between the observation point and the return-stroke channel (r) within 100km. This work revealed the typical waveform variation laws of Er generated by cloud-to-ground lightning changed along the return-stroke distance.

zh-cn	同时分析了大地电导率（σ）和回击速度（v）对该距离内 Er的影响。
en-us	Meanwhile, the effect of the earth conductivity (σ) and return-stroke velocity (v) on Er in this range was studied by using the non-uniform grid FDTD method.

zh-cn	结果表明：Er在2km内呈单极性脉冲，500m内在首次脉冲后出现过零现象且距离越远该现象越明显，50~100km内呈双极性连续脉冲；
en-us	Results show that the waveforms of Er present in single pulse when r<2km. There emerged zero-crossing phenomenon when r<500m, and the farther distance the more obvious. The waveforms of Er are present in bipolar pulse when r is in the range of 50~100km.

zh-cn	Er的脉冲幅值、半峰值宽度、脉冲宽度、过零幅度均随σ增大而减小，σ≤2.5×10-3S/m时尤为明显；
en-us	The pulse amplitude, half peak width, pulse width and the zero-crossing amplitude of Er attenuate with the increase of σ, especially in the range of σ≤2. 5×10-3S/m.

zh-cn	v 对 Er的影响随距离增大明显增强，100m 以外的脉冲幅值和 10km 以外的过零幅度随 v 增大有明显提高。
en-us	The influence of v on Er increase significantly as return-stroke distance increases. The pulse amplitude of Er increase significantly with the increase of v when r >100m, and the effect of v on the zero-crossing amplitude of Er reflects the similar law when r >10km.

zh-cn	针对目前一些正确识别率高的 SVM（Support Vector Machines）分类器、超球 SVM 分类器、深度学习分类器在一些典型样本集上应用时仍然有2%左右的错误识别率和增量学习功能不强的问题，本文提出了一种具有合适拒识机制的高正确识别率分类器设计方案和相应的增量学习算法，较好地解决了上述问题。
en-us	At present, some SVM (Support Vector Machines) classifiers, hypersphere SVM classifier and deep learning classifier with high correct recognition rate still have about 2% false recognition rate and weak incremental learning function. In this paper, a high correct recognition rate classifier designed with appropriate rejection mechanism and incremental learning algorithm is proposed to solve the above problems.

zh-cn	主要工作包括：同类特征集合的紧密包裹集构造算法；
en-us	The main work include: the construction algorithm of compact packing set of homogeneous feature set;

zh-cn	基于同类特征集合和紧密包裹集的同类特征区域紧密包裹面的求解算法；
en-us	the algorithm for solving the compact packing surface of homogeneous feature region based on homogeneous feature set and compact packing set;

zh-cn	设置所有紧密包裹面之外的公共区域为分类器的拒识区域的方法；
en-us	the method of setting all the public areas outside the compact packing surface as the rejection area of the classifier;

zh-cn	当增加新类别、增减训练样本时，以上算法的增量学习算法。
en-us	when adding new categories, increasing or decreasing training samples, the above algorithms are incremental learning algorithms.

zh-cn	用 uci数据集做对比实验表明，在拒识率小于1.3%的情况下，本文方法设计的分类器正确识别率大于99.13%。
en-us	A comparison experiment with uci data sets shows that the correct recognition rate of the classifier is greater than 99.13%, when the rejection rate is less than 1.3%.

zh-cn	聚类集成旨在通过融合多个不同的基聚类结果得到一个统一的类簇划分。
en-us	The purpose of clustering ensemble is to find a unified partition of objects by fusing a set of clustering results.

zh-cn	针对现实环境中的模糊和不确定性数据，本文提出了一种基于阴影集的多粒度三支聚类集成算法。
en-us	This paper proposes a multi-granulation three-way clustering ensemble algorithm based on shadowed sets to deal with the fuzzy and uncertainty data in the actual world.

zh-cn	算法首先使用 FCM 聚类产生一组有差异性的基聚类成员，并通过阴影集构造三支聚类。
en-us	First, the algorithm generates a set of clustering members using the fuzzyc-means algorithm, and then the membership degree is mapped into three regions to construct three-way clustering.

zh-cn	然后引入多粒度粗糙集构建了四个近似集合，将每一个类簇划分为一个核心域和三个边界域。
en-us	Second, the multi-granulation rough sets are used to construct four different approximate regions. Each cluster contains a core region and three boundary regions.

zh-cn	最后对边界域中的数据依次划分到核心域中，无法划分的对象则留在边界域，最终得到了三支聚类集成的结果。
en-us	Finally, the shadowed set is used to classify objects in boundary regions sequentially. Objects that cannot be divided are left in the boundary region.

zh-cn	实验结果表明，本算法在准确率、调整兰德系数和归一化互信息方面，与多种现有的聚类集成算法相比得到了更好的聚类集成结果。
en-us	The experimental results show the algorithm obtains better clustering ensemble results in accuracy, adjust rand index, and normalized mutual information compared to multiple existing clustering ensemble algorithms.

zh-cn	三维掌纹能显著地减少应用过程中潜在的安全隐患，近年来吸引了越来越多的关注。
en-us	Three dimensional (3D) palmprint could efficiently reduce potential security risks in practical applications, and thus attracts a growing interest in recent years.

zh-cn	然而，现有的三维掌纹识别方法大多借助人工设计的描述符来进行匹配，这往往需要先验知识。
en-us	However, most existing 3D palmprint recognition methods require hand-craft designed descriptors and strong prior knowledge are needed.

zh-cn	本文提出一种基于学习策略的局部方向特征二进制编码来完成三维掌纹识别。
en-us	In this paper, we propose a local direction binary code learning method for 3D palmprint recognition.

zh-cn	该方法利用形状指数来描述三维掌纹的局部几何特征，并且在形状指数图像上计算 Gabor 滤波器响应并将响应差值组合起来形成特征向量。
en-us	We employ shape index representation to demonstrate the geometry characteristics of local regions in 3D palmprint data, and form Gabor filter response difference vector as the feature vectors by applying the Gabor filter on the shape index image.

zh-cn	提出利用哈希学习模型得到特征映射函数并将响应差值特征向量转换为方向特征二进制编码，并对方向特征二进制编码图采用分块策略形成特征直方图来进行匹配。
en-us	We utilize the hash learning model to learn feature mapping functions that can project these feature vectors into direction binary code, and further construct the block-wise histograms for matching.

zh-cn	在香港理工三维掌纹数据库上的实验结果表明，本文方法在识别率上要优于目前流行的其他三维掌纹识别方法，从而验证了本文方法的有效性。
en-us	Experiments on Hong Kong Polytechnic University 3D palmprint database validate that our method outperforms existing state-of-the-art methods in terms of recognition accuracy, showing the effectiveness of our method.

zh-cn	机器学习方法在高分辨率遥感图像场景分类任务中已经得到大规模应用，但当前研究主要围绕数据特征和神经网络结构展开，极少提及神经网络训练策略对遥感图像分类性能的影响。
en-us	Machine learning have been widely used in high-resolution remote sensing image scene classification task. However, the current research mainly focuses on data features and neural network structure, and the effect of neural network training tricks on remote sensing image classification performance is rarely mentioned.

zh-cn	因此，本文选取 7 种自然图像分类中常用的神经网络训练策略进行实验，根据其在3个规模较大的遥感图像数据集和4个广泛使用的神经网络模型上的实验表现，筛选出适用于遥感图像场景分类的神经网络训练策略。
en-us	Therefore, this paper selects 7 neural network training tricks commonly used in natural image classification for experiments. According to their experimental performance in 3 large remote sensing image data sets and 4 widely used neural network models, neural network training tricks suitable for remote sensing image scene classification are selected.

zh-cn	通过消融研究详细评估多个神经网络训练策略对遥感图像场景分类性能的影响，通过分析总体分类精度、混淆矩阵、Kappa系数得到有效的神经网络训练策略，并证明神经网络训练策略对遥感图像场景分类性能的有效性；
en-us	The effect of multiple neural network training tricks on the scene classification performance of remote sensing images was evaluated in detail through ablation experiment. An effective neural network training strategy was obtained by analyzing the overall accuracy, confusion matrix and Kappa coefficient, and the effectiveness of the neural network training strategy on the scene classification performance of remote sensing images was proved.

zh-cn	根据叠加实验的结果分析，7种训练策略的组合可以在不同网络模型和数据集上表现出良好的适用性。
en-us	According to the results of the stacking experiment, the combination of 7 training tricks can show good applicability in different network models and data sets.

zh-cn	互补序列应用于多载波码分多址系统因理论上可同时消除多径干扰和多址干扰而备受关注。
en-us	Complementary sequences (CSs) have attracted more attention in application of multicarrier code-division multiple-access (MC-CDMA) communication system since they are able to remove multipath interference (MPI) and multi-access interference (MAI).

zh-cn	基于中国剩余定理，本文提出一种周期为合数长的屏蔽二元互补序列偶的构造方法。
en-us	Based on Chinese reminder theorem, a construction method of punctured binary complementary sequence pairs (PBCSPs) with composite length has been proposed.

zh-cn	构造得到的屏蔽二元互补序列偶可扩展互补序列的存在范围。
en-us	This result can greatly extend the range of complementary sequence.

zh-cn	为了进一步研究屏蔽二元互补序列偶，本文提出一种新的区组设计——屏蔽差族偶，并将屏蔽差族偶与屏蔽二元互补序列偶建立了等价关系，为应用屏蔽差族偶这一新的区组设计研究屏蔽二元互补序列偶提供了理论依据。
en-us	To further study PBCSPs, we present a new block design—punctured difference family pair (PDFP), and establish the equivalent relationship between PDFP and PBCSPs, which provides a theoretical basis for the study of PBCSPs by using the new block design of PDFP.

zh-cn	最佳高斯整数序列应用于通信系统不仅能抑制干扰，还可获得高的传输速率和频谱利用率。
en-us	Perfect Gaussian integer sequences applied to communication systems can not only restrain disturbance, but also obtain high transmission rates and spectrum utilization.

zh-cn	本文基于循环差集给出了构造自由度为 2的最佳高斯整数序列的充要条件，比较现有文献，可获得更高能量效率的最佳高斯整数序列。
en-us	In this paper, the sufficient and necessary condition for constructing the perfect Gaussian integer sequences with 2-degree freedom is given based on the cyclic difference sets. The perfect Gaussian integer sequences with higher energy efficiency can be obtained compared to the existing literatures.

zh-cn	同时，利用上采样和过滤技术扩展了最佳高斯整数序列的长度和自由度。
en-us	The length and degree of freedom of the perfect Gaussian integer sequences are extended by up-sampling and filtering.

zh-cn	本文方法能得到大量适于高速通信系统的最佳高斯整数序列，扩展了通信地址码的选择范围。
en-us	A large number of perfect Gaussian integer sequences obtained in this paper are suitable for high speed communication applications, which expands the selection range of address codes.

zh-cn	为了有效降低室内基于广义空移键控(Generalized Space Shift Keying，GSSK)调制技术的可见光通信(Visible Light Communications，VLC)系统 LED选择算法的复杂度，提高系统的 LED选择速度，提出了一种基于支持向量机(Support Vector Machine，SVM)的机器学习低复杂度高效率 LED选择算法。
en-us	In order to reduce the complexity of LED selection algorithm in generalized space shift keying (GSSK) aided indoor visible light communication (VLC) system, a support vector machine (SVM) assisted low complexity and high efficiency machine learning LED selection algorithm is proposed for the considered GSSK-VLC system.

zh-cn	通过将室内 GSSK⁃VLC系统的 LED选择等价建模为多分类的机器学习问题，利用核 SVM 构建 LED选择的最优化问题，通过对偶理论，获得原问题的二次凸规划对偶问题，从而高效的获取 SVM 的最优分类参数 。最后，通过学习训练获得的最优分类参数实现对任意给定用户信道信息的在线天线选择。
en-us	By modeling the LED selection in indoor GSSK-VLC system as a multi-classification problem, an optimization problem is constructed by utilizing kernel SVM. After the optimal parameters of the learning system are obtained, the LED selection procedure can be accomplished efficiently for any given user's channel state information.

zh-cn	通过计算机仿真和复杂度分析，与传统的 LED 选择算法相比，本文提出的算法能够在实现在线LED选择的同时保持低误码率(Bit Error Ratio，BER)性能，表明了该算法的有效性。
en-us	Simulation results and complexity analysis show that, compared with traditional LED selection algorithms, the proposed SVM aided LED selection algorithm can achieve an ideal bit error ratio (BER) performance while having considerably lower complexity.

zh-cn	传统方法在视觉策略网络中只关注实体，不能够推理出实体和属性之间的联系，在语言策略网络存在暴露偏差和误差累计问题。
en-us	Traditional methods only focus on entities in the visual strategy network and cannot deduce the relationship between entities and attributes. There are problems of exposure bias and error accumulation in the language strategy network.

zh-cn	为此，提出了一个基于强化学习的多层级视觉融合网络模型。
en-us	Therefore, this paper proposes a multilevel visual fusion network model based on reinforcement learning.

zh-cn	在视觉策略网络中通过多层级神经网络模块将视觉特征转化为视觉知识的特征集。
en-us	In the visual strategy network, multilevel subneural network module is used to transform visual features into feature sets of visual knowledge.

zh-cn	融合网络生成使描述语句更加流畅的虚词，用于视觉策略网络和语言策略网络的互动。
en-us	The fusion network generates the function words which make the description sentences more fluent and can be used for the interaction between the visual strategy network and the language strategy network.

zh-cn	在语言策略网络中使用基于强化学习的自批评策略梯度算法对视觉融合网络实现端到端的优化。
en-us	The gradient algorithm of self-criticism strategy based on reinforcement learning is used to optimize the visual fusion network end-to-end.

zh-cn	实验结果表明，该模型在 MS-COCO 数据集取得不错效果，将 Karpathy 分割测试中的 CIDEr 值从 120.1 提高到124.3。
en-us	The experimental results show that the model can get good results in MS-COCO data set and improve the CIDEr value of Karpathy segmentation test from 120.1 to 124.3.

zh-cn	针对现有的轨迹隐私保护模型大多难以抵御复杂背景知识攻击的问题，本文提出了一种基于差分隐私的轨迹隐私保护方法。
en-us	Aiming at the problem that most of the existing trajectory privacy protection models are difficult to withstand complex background knowledge attacks, this paper proposes a trajectory privacy protection method based on differential privacy.

zh-cn	首先结合地理不可区分机制对原始轨迹数据添加半径受限的拉普拉斯噪音；
en-us	Firstly, the Laplacian noise with limited radius is added to the original trajectory data by combining the mechanism of geographic indistinguishability.

zh-cn	其次构造数据映射模型将原始数据和噪音数据映射到新的发布位置，使攻击者无法获取真实轨迹数据；
en-us	Secondly, a data mapping model is constructed to map the original data and noise data to the new publishing location, so that the attacker cannot obtain the real trajectory data.

zh-cn	接着应用最优数据映射函数发布最优的轨迹位置以提高发布数据的可用性；
en-us	Then the optimal data mapping function is applied to publish the optimal trajectory position to improve the availability of published data.

zh-cn	最后利用差分隐私抵御非敏感信息推理攻击，进一步保护用户隐私。
en-us	Finally, differential privacy is used to defend against non-sensitive information inference attack to further protect user privacy.

zh-cn	实验结果表明，本文算法既能有效保护轨迹数据中用户的隐私，也能保证数据的可用性。
en-us	The experimental results show that the algorithm in this paper can not only effectively protect the privacy of users in the trajectory data, but also ensure the availability of the data.

zh-cn	现有的 WEBee 系统可通过模拟接收器的标准时域波形在物理层面实现 WiFi 到 ZigBee 的跨网通信，但该系统存在单次传输帧接收率不高，符号错误率较大等局限。
en-us	Recently, the WEBee system achieved the one-way communication from WiFi to ZigBee on the physical level by emulating the time-domain signal of receiver. However, there are some shortcomings in WEBee such as short FRR (Frame Receive Rate) of single transmission frames and a large SER (Symbol Error Ratio).

zh-cn	针对该局限，本文提出了一种基于循环前缀前的编码拆分优化方案，主要思想是对 ZigBee 前导码中的同步码序列进行编码拆分，可有效降低循环前缀操作时出现的错误，提高帧接收率。
en-us	In view of the above-mentioned facts, this paper proposes an optimization scheme via split coding before cyclic prefix (CP). The main idea is splitting and coding the synchronization word sequences in ZigBee's preamble. It can reduce the error occurred in the CP operation effectively and improve the FRR.

zh-cn	结果表明该方案优化系统单次传输的帧接收率可达 65.2%，相比原系统提高了 8.1%，且单次传输的符号错误率从2.7%降低至1.8%。
en-us	The results show that the maximum FRR can reach 65.2%, which is 8.1% higher than theoriginal system. Furthermore, the SER is reduced from 2.7% to 1.8%.

zh-cn	实际收发设备的非理想硬件(RHI, Residual Hardware Impairment)特性会对协作非正交多址接入(NOMA,Non-Orthogonal Multiple Access)系统性能产生重要影响。
en-us	Residual hardware impairment (RHI) characteristics exist in actual transceiver which will have an important impact on the cooperative non-orthogonal multiple access (NOMA) system performance.

zh-cn	因此，本文提出了基于 RHI 的下行链路单窃听多中继协作NOMA 系统模型，推导了联合考虑合法链路和窃听链路使目标信噪比最大化(M-LaE-SNR, Maximized SNR for Legiti‐mate and Eavesdropping link)中继传输方案下的安全中断概率闭合表达式和渐近表达式。
en-us	In this paper, downlink single eavesdropper and multi relay cooperative non-orthogonal multiple access system with RHI is proposed, and the closed expression and asymptotic expression of secrecy outage probability performance is derived under the relay transmission scheme by maximizing SNR for joint legitimate and eavesdropping link (M-LaE-SNR)；

zh-cn	分析和仿真结果表明，所提M⁃LaE⁃SNR方案相比其他方案可有效提高用户的安全中断性能，且中继数越多所提方案性能优势越明显；
en-us	The analytical and simulation results show that the secrecy outage performance of RHI-D-E-MR-NOMA system using M-LaE-SNR scheme is better than the other schemes, and the more the number of relays, and the performance advantage of the proposed scheme is more obvious with more relay numbers;

zh-cn	同时 RHI使得系统安全传输性能降低，且 RHI 对性能的影响程度主要与主链路信噪比以及协作中继个数有关；
en-us	Meanwhile, RHI can reduce the secrecy transmission performance of the system, and the influence of RHI on the performance is mainly related to the signal-to-noise ratio (SNR) of the main link and the number of cooperative relays;

zh-cn	且不同节点处的RHI对系统安全性能造成的影响程度不同。
en-us	And RHI at different nodes have different influences on system secure performance.

zh-cn	研究结果还证明了用户的安全分集阶数等于中继数量K。
en-us	It is also proved that the order of user's secrecy diversity order is equal to the number of relays K.

zh-cn	属性约简是粗糙集中的一个重要研究方向。
en-us	Attribute reduction is an important research direction in rough set.

zh-cn	本文从 8 个方面对基于粗糙集的属性约简算法进行归纳，即：不完备决策信息表，不相容决策信息表，连续型属性决策信息表，动态决策信息表，有序型属性决策信息表，基于粗糙扩展模型的属性约简，基于属性重要度的属性约简，结合智能优化算法的属性约简，这对进一步深入研究粗糙集的属性约简算法具有积极意义。
en-us	This paper summarizes attribute reduction algorithms based on rough sets from eight aspects, including incomplete decision information tables, incompatible decision information tables, continuous attribute decision information tables, dynamic decision information table, ordered data decision information table, attribute reduction algorithm based on rough extension model, attribute reduction algorithm based on attribute importance degree and attribute reduction algorithm based on intelligent optimization algorithm. Through summarizing eight aspects of attribute reduction algorithms based on rough set, positive significance is shown for further research on attribute reduction algorithm of rough set.

zh-cn	D2D 通信是 5G/B5G 网络的关键技术之一，同时小小区的中心化部署形成了以父点为中心的簇。
en-us	D2D communication is one of the key technologies of 5G/B5G networks. Meanwhile, in 5G/B5G network, the centralized deployment of small base stations (BSs) makes user equipment (UE) located inside or outside the cluster.

zh-cn	因此，文章构建了一个基于泊松点和泊松簇过程的网络模型，提出了一种基于簇的用户设备(User Equipment, UE)分类方案，并设计了联合正交与共享的频谱资源分配方案。
en-us	This paper constructs a network model based on Poisson point and Poisson cluster processes, and proposes a cluster-based UEs classification scheme as well as a spectrum resource allocation scheme by joining orthogonal and sharing methods.

zh-cn	基于簇的 UEs分类方案将 UEs分为不同类型的簇中心和簇边缘 UEs；
en-us	The cluster-based UEs classification scheme divides UEs into different types of cluster center and cluster edge UEs.

zh-cn	联合频谱分配方案，将可获得的频带分为正交的两个子带，不同类型的 UEs (BSs)共享子带。
en-us	The joint spectrum allocation scheme divides the available frequency band into two orthogonal sub-bands, which are allocated to different types of UEs (BSs).

zh-cn	对此设计，建立了 D2D 接收机的干扰模型，给出了干扰分布，并分析了簇中心和簇边缘 D2D 接收机的覆盖概率。
en-us	For this design, this paper establishes a D2D receiver interference model, gives the interference distribution, and analyzes the coverage probability of the cluster center and cluster edge D2D receivers.

zh-cn	仿真和数值结果表明 D2D 网络覆盖概率随着微微 BS (Pico BS, PBS)发射功率的减小而增加。
en-us	Simulation and numerical results show that the D2D network coverage probability increases as the transmit power of pico BS (PBS) decreases.

zh-cn	同时，也给出了 PBS 覆盖半径和 D2D 发射机覆盖半径对D2D网络覆盖概率的影响。
en-us	Meanwhile, the influence of the coverage radius of PBS and D2D transmitters on the coverage probability of the D2D network is also given.

zh-cn	植入式医疗电子设备向着微型化、网络化、智能化方向快速发展，其涉及的科学技术也不断更新迭代。
en-us	With miniaturization, networklization and intelligentization of implantable medical electronic devices, the science and technology related are constantly updated and iterative.

zh-cn	本文回顾植入式医疗电子设备及其核心关键技术的发展历程，探讨从体内生理信息精准传感、经体无线可靠传输到体外大数据高效处理的各项技术，呈现相关科学研究的最新动态和发展方向，并提出可智能实时监测支架植入术后“再狭窄”与“内漏”的新一代智能血管支架，为未来血管支架的发展提供全新理念及方向，推动我国植入式医疗电子设备朝着高端化、智能化道路发展。
en-us	This paper reviews the development of implantable medical electronic devices as well as related crucial technologies, discusses from accurate sensing of physiological information in vivo, wireless reliable transmission to efficient processing of in vitro big data, and presents the latest development and direction of the scientific research. On this basis, the paper proposes a generation of intelligent vascular stents that can intelligently and constantly monitor "restenosis" and "endoleak" after stent implantation, which provides a concept and direction for the future development of vascular stents. This technology promotes China's internal implantable medical electronic devices to develop in the direction of highend and intelligentization.

zh-cn	针对自然语言处理中查询主题漂移和词不匹配问题，提出基于CSC(Copulas-based Support and Confidence)框架的关联模式挖掘与规则扩展算法，并将基于统计学分析的关联模式与具有上下文语义信息的词向量融合，提出关联模式挖掘与词向量学习融合的伪相关反馈查询扩展模型。
en-us	In order to solve the problems of query topic drift and word mismatch in natural language processing, an algorithm of association pattern mining and rule expansion based on CSC (Copulas-based Support and Confidence) framework is proposed. The association patterns based on statistical analysis are fused with the word embedding with context semantic information, and a pseudo-relevance feedback query expansion model is presented based on the fusion of association pattern mining and word embedding learning.

zh-cn	该模型对伪相关反馈文档集挖掘规则扩展词，对初检文档集进行词嵌入学习训练得到词向量，计算规则扩展词与原查询的向量相似度，提取向量相似度不低于阈值的规则扩展词作为最终扩展词。
en-us	In this model, the rule expansion terms are mined from the pseudo-relevance feedback document set, and the word vectors are obtained by word embedding learning training of the initial document set. The vector similarity between the rule expansion term and original query is calculated, and the rule expansion terms whose vector similarity is not lower than the threshold are extracted as the final expansion terms.

zh-cn	实验结果表明，所提扩展模型能有效地减少查询主题漂移和词不匹配问题，提高检索性能，与现有基于关联模式的和基于词向量的查询扩展方法比较，MAP（Mean Average Precision）平均增幅最大可达 17.52%，对短查询更有效。
en-us	The experimental results show that the proposed expansion model can effectively reduce the problems of query topic drift and word mismatch, improving the performance of information retrieval. Compared with the existing query expansion methods based on association pattern and word embedding, the average increase of the MAP（Mean Average Precision）of the proposed expansion model is up to 17.52%. The expansion model in this paper is more effective for short queries.

zh-cn	所提挖掘方法可用于其他文本挖掘任务和推荐系统，以提高其性能。
en-us	The proposed mining method can be used inother text mining tasks and recommendation systems to improve their performance.

zh-cn	为提高瞬态干扰处理的稳健性，超视距雷达可采用先识别后抑制的思路。
en-us	To improve the robustness of transient interference processing, over-the-horizon radar (OTHR) can take the way of suppression after assured detection.

zh-cn	本文研究基于距离-多普勒（Range⁃Doppler, RD）图的瞬态干扰自动识别方法，将 RD图转化为灰度图，提取其纹理特征，再基于机器学习设计分类算法。
en-us	This paper analyzes automatic recognition of transient interference in the range-Doppler (RD) map, by transforming the RD map into gray image, extracting the texture features, and designing the classification algorithm based on machine learning.

zh-cn	首先，提出新的瞬态干扰模型，仿真产生干扰数据，避免训练依赖实测数据；
en-us	Firstly, a model of transient interference is developed to simulate the received data, so that the training does not rely on real data.

zh-cn	其次，建立 RD 灰度图图库，分强干扰、弱干扰和无干扰三类情况；
en-us	Secondly, the image datasets are produced and classified into three categories, i.e. strong interference, weak interference, and non-interference.

zh-cn	然后，提取局部二值模式（Local Binary Pattern, LBP）纹理特征，基于支持向量机设计二分类器，结合纠错输出编码设计三分类器。
en-us	Then, the local binary pattern (LBP) texture features are extracted to design the binary classifier based on support vector machine (SVM) and then design the ternary classifier by error-correcting output codes (ECOC).

zh-cn	最后，通过实测数据和文献RD图，验证本文所提识别方法的准确性，并比较分析不同图像特征及参数的影响。
en-us	Finally, simulations based on real data from OTHR and literatures demonstrate the effectiveness of our method and the effects of various parameters and image features.

zh-cn	区域聚焦照射（regional focusing irradiation）能将信号能量准确投送至指定区域，但阵列的超稀疏性使得副瓣区域能量较高，在实施精确电子战时极大增加了干扰系统遭受打击的风险，因此副瓣区域能量抑制问题必须加以解决。
en-us	Regional focusing irradiation (RFI) can precisely bring the energy of the transmitted signals to the specific regions. However, the array ultra-sparsity results in high energy level in the sidelobe regions, which increases the risk of the jamming system being attacked in precision electronic warfare. Therefore, it is significant to alleviate the energy level in the sidelobe regions.

zh-cn	本文提出一种基于 L∞范数评估栅瓣区域能量的方法，将其作为正则项引入区域聚焦照射模型以抑制副瓣区域最大能量，并建立了多目标优化模型。
en-us	We propose a method based on L∞-norm to evaluate the energy level in the grating lobe regions, and introduce it to the RFI model to establish a multiobjective optimization model to alleviate the maximum energy in the sidelobe regions.

zh-cn	采用交替方向乘子（alternating direction method of multipliers）框架将原问题分解为两个子问题：对于恒模约束下二次规划子问题 I，采用贪婪算法给出其闭式解；
en-us	The ADMM (Alternating Direction Method of Multipliers) framework is adopted to separate the origin problem into two subproblems. For subproblem-I, we adopt the greedy method to derive the closed-form solutions of the unimodular quadratic program.

zh-cn	对于无约束 L2⁃L∞范数的子问题 II，将L∞范数做近似光滑化处理，并通过梯度下降法求解。
en-us	Regarding subproblem-II, which has L2-L∞terms without constraints, we smoothen the L∞term approximately, and employ the gradient descent method to solve it.

zh-cn	交替求解两个子问题至收敛，以求解发射信号。
en-us	The transmitted signal is obtained when the solutions of two subproblems are convergent.

zh-cn	仿真实验表明，本文模型在副瓣区域能量抑制上较基于L1范数的区域聚焦照射模型具有更优性能，且本文算法实用性更强。
en-us	Numerical experiments reveal that the proposed model has better performance on alleviating the energy in sidelobe regions, and the adopted algorithm is more practical than the method based on L1-norm.

zh-cn	水下机器人的自主快速精确定位是完成海洋资源勘探、目标探测定位与追踪等水下作业任务的前提。
en-us	Rapid localization of autonomous underwater vehicles (AUVs) plays an important role in target pursuit tasks.

zh-cn	论文研究基于相对测量的水下机器人主动定位方法，解决存在大的初始定位偏差情况下多水下机器人的快速定位问题。
en-us	We study active localization method for AUVs using noisy relative measurement, which achieves the precise position estimate of AUVs as quickly as possible under inaccurate initial estimates.

zh-cn	论文提出包括测量、估计和控制三个模块的多水下机器人快速主动定位框架，降低相对测量误差、初始偏差带来的定位不确定性，同时使多机器人定位具有良好的可扩展性 。
en-us	A framework for active localization of AUVs with excellent scalability is proposed, which is composed of measurement module, control module and estimation module.

zh-cn	提出的主动接近信标策略优势在于：被定位机器人与信标的相对几何位置收敛过程中，机器人的定位估计快速指数收敛。
en-us	In control module we design the motion strategy for AUV, which makes simultaneous convergence of position estimate and the relative geometric location between AUV and beacon.

zh-cn	利用受噪声干扰的相对测距信息，论文采用强化学习方法实现提出的主动接近信标机动策略。
en-us	Using noisy relative measurement, a method based on reinforcement learning is adopted to achieve the motion strategy.

zh-cn	开展的数值仿真实验结果表明：相对于基于圆形轨迹、梳状形轨迹机动策略的定位方法，论文所提方法使得水下机器人定位过程具有更好的快速性和鲁棒性。
en-us	The numerical simulation results show that the proposed framework and motion strategy has better rapidity and robustness than the traditional localization method.

zh-cn	目前基于视觉的动态头势识别算法泛化能力弱、识别率低,头戴式传感器的方法经济性、便携性差。
en-us	Present vision based on dynamic head gesture recognition algorithms usually have disadvantages in generalization and recognition rate, and head-mounted sensors are expensive and inconvenient.

zh-cn	针对以上问题,提出了一种无需头戴设备的动态头势识别算法。
en-us	In view of the above problems, a dynamic head gesture recognition algorithm without head-mounted sensors is proposed.

zh-cn	这种基于双流融合 3D 卷积神经网络的方法用头部动作生成稠密光流，并将原始数据和光流数据并行输入构建的动作特征提取器，最后进行特征融合。
en-us	Using this method based on two-stream 3DCNN (3D Convolutional Neural Network), the dense optical flow is generated by head movements, the original data and dense optical flow are put into the motion feature extractor in parallel, and finally, features are fused.

zh-cn	结果表明所提算法比人工特征提取方法和 C3D模型有更高的准确率、更好的泛化能力,在无需头戴传感器的情况下有近似头戴式传感器的识别率。
en-us	Experimental results show that the proposed algorithm has higher recognition accuracy and better generalization than the artificial feature extraction and C3D (Convolutional 3D) methods, and its recognition rate is as good as those head-mounted sensors.

zh-cn	为了模拟长程的一维离散时间量子行走的演化过程以及降低计算复杂性，提出一种路径分析方法。
en-us	In order to simulate one-dimensional discrete time quantum walks after a long time of evolution and reduce the computational complexity, we propose a path analysis approach.

zh-cn	首先分析系统到达某个位置的路径分块和路径数，将系统移位到某个位置演化算子进行分解，表示成二阶矩阵线性空间的一组基的线性组合；
en-us	Dividing every path of a discrete time quantum walk into a set of blocks and counting number of paths starting from an initial qubit state, we give an expression for some evolution operator in form of a linear combination of a fixed set of basis in a 2-dimensional matrix space.

zh-cn	然后用超几何级数进行化简，给出概率分布的计算方法；最后分析产生对称式概率分布的充分条件，表明对称性只与量子初态有关。
en-us	As a consequence, we present a calculating formula of probability distribution in terms of hypergeometric polynomial and give a sufficient condition on symmetry of probability distribution which is only determined by initial qubit states.

zh-cn	实验结果表明，该方法能够有效模拟系统的长时间演化过程。
en-us	Our experimental results reveal that this method can well simulate the evolution process in a long time scale.

zh-cn	相关结果可以推广到更一般类型的离散时间量子行走。
en-us	We also briefly extend these studies to more general discrete time quantum walks.

zh-cn	广义签密可以灵活地工作在签密、签名和加密三种模式，具有很强的实用性。
en-us	Generalized sign cryption can run flexibly in three modes: signcryption, signature and encryption, and has strong practicability.

zh-cn	本文结合基于格的签名方案和密钥交换协议，构造了一个无陷门的广义签密方案。
en-us	This paper combines lattice-based signature scheme and key exchange protocol to construct a trapdoor-free generalized signcryption scheme.

zh-cn	方案构造中引入了区分函数，根据输入的发送方与接收方密钥情况来自动识别加密、签名和签密三种模式，保障了算法在这三种工作模式下的优美对称性。
en-us	In the construction, a distinguishing function is introduced, which automatically identifies the three modes of encryption, signature and signcryption according to the key conditions of the sender and the receiver. This ensures the excellent symmetry of the algorithm in these three modes.

zh-cn	基于环上判定性 LWE问题，并借鉴 FO13 的方法，证明了该方案满足自适用抗选择密文攻击不可区分性安全性(IND-CCA2)和自适用抗选择消息攻击强不可伪造性安全性(SUF-CMA)。
en-us	Finally, based on the deterministic learning witherrors (LWE) problem on the ring, it used the method of FO13 to prove that the scheme satisfies the indistinguishability against adaptive chosen ciphertext attack (IND-CCA2) security and the strong unforgeability against choosing message attack (SUF-CMA) security.

zh-cn	该方案是基于 Fiat-Shamir的中止(abort)框架，没有用到复杂的原像抽样和陷门生成算法，具有较高的计算效率。
en-us	It is based on Fiat-Shamir with abort framework which does not use complex preimage sample algorithm and trapdoor generation algorithm, so it has high computational efficiency.

zh-cn	在软件测试领域，利用遗传算法生成测试用例是一个研究热点。
en-us	In the field of software testing, it is a hot research spot to generate test cases using genetic algorithm.

zh-cn	传统方法在利用遗传算法生成测试用例时,需要计算每个个体的适应度。
en-us	In the traditional process of generating test cases by genetic algorithm, it is necessary to calculate the fitness of each individual.

zh-cn	为了降低适应度计算的时间消耗并重用测试用例,提出一种融入支持向量机回归模型的测试用例生成与重用的方法。
en-us	In order to reduce the time consumption of fitness calculation and reuse test cases, a test case generation and reuse method based on support vector machine regression model is proposed.

zh-cn	在使用遗传算法生成测试用例的过程中,利用一定数量的个体及其适应度作为样本训练支持向量机回归模型。
en-us	In the process of using genetic algorithm to generate test cases, a certain number of individuals and their fitness are used as samples to train the support vector machine regression model.

zh-cn	在之后的种群进化中,根据回归模型计算个体适应度,同时利用回归模型查找适应度较高的个体并重用到新种群的进化中。
en-us	In the subsequent population evolution, individual fitness is calculated according to the regression model. At the sametime, individuals with higher fitness are found by the regression model and applied to the evolution of the new population.

zh-cn	在某大型程序实验中,该方法与同类经典方法相比,覆盖率提高了 3%,平均进化代数也有所降低,其降低百分比达85.97%。
en-us	In the experiment on a large program, compared with that of the same classical method, the coverage rate of this approach is increased by 3% and the average evolutional time is also reduced by 85.97%.

zh-cn	为了解决闪烁噪声统计特性未知情况下的多目标跟踪问题，提出一种鲁棒广义标签多伯努利（Generalized Labeled Multi-Bernoulli, GLMB）滤波器。
en-us	A robust generalized labeled multi-Bernoulli (GLMB) filter is presented to perform multi-target tracking(MTT) with unknown statistical characteristics of glint noise.

zh-cn	该滤波器采用均值未知且时变的多维 Student’s t 分布对统计特性未知的闪烁噪声进行建模。
en-us	The glint noise with unknown statistical characteristics is modeled as a multivariate Student's distribution with unknown and time-varying mean.

zh-cn	它放宽了闪烁噪声均值为零的限制性假设，可以自适应地处理闪烁噪声均值未知且时变条件下的多目标跟踪问题。
en-us	The proposed filter relaxes the restrictive assumption that the mean of glint noise is zero, and can effectively deal with the problem of MTT under the condition that the mean of glint noise is unknown and time-varying.

zh-cn	本文在 GLMB 滤波框架下，利用变分贝叶斯方法对增广状态中的参数进行变分迭代，并通过最小化Kullback-Leibler 散度得到边缘似然函数的近似解。
en-us	The variational Bayesian approximation is applied in the GLMBfiltering framework with the augmented state. The approximate solution of the marginal likelihood function can be obtained by minimizing the Kullback-Leibler divergence.

zh-cn	仿真结果表明，在闪烁噪声统计特性未知的情况下，所提滤波器能有效地对多目标进行跟踪。
en-us	The simulation results demonstrate that the proposed filter can effectively track multi-target when the statistics of glint noise is unknown.

zh-cn	显著性目标检测旨在对图像中最显著的对象进行检测和分割，是计算机视觉任务中重要的预处理步骤之一，且在信息检索、公共安全等领域均有广泛的应用。
en-us	Salient object detection aims to detect and segment the most salient objects in the image. It is one of the important preprocessing steps in computer vision tasks, and it has a wide range of applications in information retrieval, public safety and other fields.

zh-cn	本文对近期基于深度学习的显著性目标检测模型进行了系统综述，从检测粒度的角度出发，综述了将深度学习引入显著性目标检测领域之后的研究成果。
en-us	This paper systematically reviews the recent research on the salient object detection models based on deep learning. From the perspective of detection granularity, the research results of applying deep learning into the field of salient object detection are reviewed.

zh-cn	首先，从三个方面对显著性目标检测方法进行了论述：稀疏检测方法，密集检测方法以及弱监督学习下的显著性目标检测方法。
en-us	First, the salient object detection methods are discussed from three aspects. sparse detection methods, dense detection methods and weakly-supervised learning methods.

zh-cn	然后，简要介绍了用于显著性目标检测研究的主流数据集和常用性能评价指标，并对各类主流模型在三个使用最广泛的数据集上进行了性能比较分析。
en-us	Then, the mainstream data sets and common performance evaluation indicators used for salient object detection research are briefly introduced, and the performance of various mainstream models on the three most widely used data sets are compared and analyzed.

zh-cn	最后，本文分析了显著性目标检测领域目前存在的问题，并对今后可能的研究趋势进行了展望。
en-us	Finally, this paper analyzes the current problems in the field of salient object detection and prospects for possible future research trends.

zh-cn	动态视觉传感器（Dynamic Vision Sensor，DVS）相比于传统彩色相机有更高的时间分辨率、动态范围，且功耗更低、带宽更低，在自动驾驶领域有很好的应用前景，因此吸引了越来越多研究者的注意。
en-us	Compared with the traditional color cameras, the dynamic vision sensor, a type of event-based sensor, has higher time resolution, dynamic range, lower power consumption and lower bandwidth requirements. It has good application prospects in the field of automatic driving, which attracts more and more researchers' attention.

zh-cn	然而由于事件驱动的数据是异步的且缺少一种统一的表示形式，在复杂的交通场景下，以车道检测为代表的基于事件驱动数据的交通场景分割任务难以应用传统的语义分割算法。
en-us	However, event-driven data is asynchronous and lacks a unified representation. At the same time, in the complex traffic scenario, the traditional semantic segmentation model is difficult to be applied to the event-driven data-based traffic scene segmentation task, for instance, the lane detection task.

zh-cn	针对以上问题，本文提出了一种三通道的事件数据编码方式，综合考虑事件数据的时空特征，将其作为卷积神经网络的输入；
en-us	In view of the above problems, our study proposes a three-channel encoding method for event data, which is successfully used as the input of convolution neural network by considering the spatio-temporal characteristics of event data comprehensively.

zh-cn	提出了一种基于编解码模型的事件数据车道检测算法，在基于事件驱动的车道线检测数据集DET上，本文方法的mIoU（mean Intersection over Union）达到了58.76%，比基准方法提高了4.4%。
en-us	This paper also proposes a lane segmentation algorithm based on encoding-decoding model, which is superior to the traditional event-based lane line segmentation. On the DET data set, with mIoU (mean Intersection over Union) as the evaluation index, this paper reaches 58.76%, which is 4.4% higher than the benchmark.

zh-cn	针对已有的异常检测模型在高维、样本多样(类内多样)的数据背景下无法获得合理的潜在表示分布，不平衡数据较多(正常数据远大于异常数据)时特征提取准确性低，以及分类器超参数敏感等问题，本文提出一种基于深度对抗学习潜在表示分布的异常检测模型。
en-us	To solve the problems of the existing anomaly detection models, such as incoherent latent representation distribution under in high-dimensional and diverse (within each class) data background, the low accuracy of feature extraction when unbalanced data (normal data far outweighs abnormal data) is large, and the sensitivity of classifier' s hyperparameter, a deep adversarial learning latent representation distribution model for anomaly detection is proposed.

zh-cn	基于正则化约束改进自编码器，将数据的原始特征空间映射到潜在特征空间形成低维的潜在表示，使其保持合理的空间分布；
en-us	Based on the regularization constraint, an improved autoencoder can map the original data feature space to a low-dimensional the latent feature space to get the reasonable latent representation distribution.

zh-cn	配以基于多判别器的生成对抗网络，在有效避免重构特征循环不一致和训练不稳定的基础上，来精确估计潜在表示的概率分布；以获得的潜在表示概率分布为单类分类器的输入，解决单类分类器超参数敏感问题，从而有效提高异常检测的整体性能。
en-us	On the premise of avoiding the problems of circulation inconsistent of reconstruction  feature and unstable training, the multi-discriminator-based generative adversarial network can evaluate the latent representation probability distribution accurately, and to solve the hyperparameter sensitivity of one class classifier, so as to improve the overall performances of anomaly detection.

zh-cn	实验结果表明，相比于最新的基于机器学习和深度学习的异常检测模型，本文模型可在高维、样本多样、不平衡数据较多的应用背景下获得更合理的潜在表示空间分布并有效估计其概率分布，对单类分类器的超参数不敏感，并有效提高模型的检测性能。
en-us	Experimental results show that, compared with the up-to-date anomaly detection models based on machine learning and deep learning, the proposed model can obtain more coherent space distribution and ideal probability distribution of latent representation, is not sensitive to the hyperparameters of the single-classclassifier, and effectively improve the detection performances under the application background with high-dimensional, diverse, unbalanced data.

zh-cn	针对智慧照明可靠性要求高、通信数据量小的特点,本设计提出一种基于导通角调制的电力线通信技术。
en-us	Aiming at the characteristics of high reliability of the intelligent lighting technique with limited communication data, a power line communication technology based on the conduction angle modulation is proposed.

zh-cn	利用斩波技术调制工频波形的导通角,并将调制后的工频波形在电力线上传输。
en-us	The chopper technology is used to modulate the conduction angle of the power waveform and transmit the modulated power waveform on the power line.

zh-cn	本设计的编码方式是将完整工频波形设为信号“0”,斩波波形设为信号“1”,一帧数据包含 24位信号。
en-us	The principle of the coding in the design is simple and distinctive, in which a complete power waveform corresponding to signal "0", while the chopped waveform relating to signal "1". One frame data contains 24 bit signal.

zh-cn	为满足电网电能质量要求,减少畸变的影响，导通角调制区间定义为 0.91π~π 之间。
en-us	In consideration of the power quality standard of power grid, the conduction angle modulation interval is from 0.91 π to π.

zh-cn	经验证测试,该设计可实现调光控制,总谐波畸变率小于 5%,电压闪变幅度小于 4%,功率因数大于0。90。
en-us	Based on the practical testing results, the design can realize dimming control, the total harmonic distortion rate is less than 5%, the voltage flicker amplitude is less than 4%, and the power factor is greater than 0.90.

zh-cn	该设计可广泛应用在智慧照明领域。
en-us	This design has a wide application prospect in the field of intelligent lighting.

zh-cn	目标检测是计算机视觉领域中最基础且最重要的任务之一，是行为识别与人机交互等高层视觉任务的基础。
en-us	Object detection is one of the most fundamental and important tasks in the field of computer vision, which is the basis of high-level vision tasks such as behavior recognition and human-computer interaction.

zh-cn	随着深度学习技术的发展，目标检测模型的准确率和效率得到了大幅提升。
en-us	With the development of deep learning technology, the accuracy and efficiency of object detectors have been greatly improved.

zh-cn	与传统的目标检测算法相比，深度学习利用强大的分层特征提取和学习能力使得目标检测算法性能取得了突破性进展。
en-us	Compared with traditional object detection algorithms, deep learning utilizes powerful hierarchical feature extraction and learning capabilities to make breakthroughs in the performance of object detectors.

zh-cn	与此同时，大规模数据集的出现及显卡计算能力的极大提高也促成了这一领域的蓬勃发展。
en-us	Meanwhile, the large-scale data-sets and the tremendous improvement in computing power have also contributed to the vigorous development in this field.

zh-cn	本文对基于深度学习的目标检测现有研究成果进行了详细综述。
en-us	In this paper, the existing research of object detectors based on deep learning are reviewed in detail.

zh-cn	首先回顾传统目标检测算法及其存在的问题，其次总结深度学习下区域提案和单阶段基准检测模型。
en-us	First, we review the traditional object detection algorithms and its problems. Then, object detectors based on deep learning are in-troduced, and the region-based and single-stage benchmark detectors are summarized.

zh-cn	之后从特征图、上下文模型、边框优化、区域提案、类别不平衡处理、训练策略、弱监督学习和无监督学习这八个角度分类总结当前主流的目标检测模型，最后对目标检测算法中待解决的问题和未来研究方向做出展望。
en-us	After that, the current mainstream object detectors are concluded from eight perspectives of feature maps, context information, bounding box optimization, regional proposal, category imbalance processing, training strategy, weakly supervised learning and unsupervised learning. Finally, the problems to be solved in the object detectors are proposed and future research directions are prospected.

zh-cn	针对现有基于矩阵分解的混合预编码算法信道容量有损和算法复杂度高的问题，本文提出了一种基于两阶段的低复杂度混合预编码算法 。该算法分为获取最优全数字预编码器和求解混合预编码器两部分。
en-us	Aiming at the problems of loss channel capacity and high algorithm complexity of the existing matrix decomposition-based hybrid precoding algorithms, a two-stage based low complexity hybrid precoding algorithm is proposed. The algorithm is divided into two parts: obtaining the optimal full-digital precoder and the hybrid precoder.

zh-cn	首先，本文联合奇异值分解（Singular Value Decomposition, SVD）与注水算法以容量无损的要求设计最优全数字预编码矩阵。
en-us	Firstly, this paper combines singular value decomposition (SVD) and water filling algorithm to design an optimal full-digital pre-coder with the requirement of lossless capacity.

zh-cn	其次，为了降低搜索超完备矩阵列的复杂度，提出两阶段混合预编码（Two⁃Stage Hybrid Precoding, TS⁃HP）算法求解混合预编码矩阵。
en-us	Then, to reduce the complexity of searching columns of the overcomplete matrix, the two-stage hybrid precoding (TS-HP) algorithm is proposed to obtain the hybrid precoding matrix.

zh-cn	第一阶段，根据天线阵列响应矩阵的相关性获取模拟预编码矩阵备选集；
en-us	In the first stage, the candidate set of the analog precoding matrix is obtained according to the antenna array response matrix correlation.

zh-cn	第二阶段，利用贪婪搜索对备选集进行搜索构建混合预编码矩阵。
en-us	In the second stage, greedy search is used to search the candidate set to construct a hybrid precoding matrix.

zh-cn	仿真结果表明，所提算法能够有效改善系统性能，降低复杂度。
en-us	Simulation results show the proposed algorithm can effectively inprove the system performance and reduce the algorithm complexity.

zh-cn	本文提出了一种基于对数似然比（LLR）检测算法的广义零填充三模正交频分复用（OFDM）索引调制（GZTM⁃OFDM⁃IM）系统，目的在于提高传统 ZTM⁃OFDM⁃IM 系统的频谱效率（SE）。在提出的系统发送端，更多的 OFDM子载波激活样式有效提高了系统的 SE，并且一种新的双模信号星座图被采用。
en-us	In this paper, we propose a generalization of zero-padded tri-mode orthogonal frequency division multi-plexing with index modulation (GZTM-OFDM-IM) system based on the log-likelihood ratio (LLR) detection. In the proposed system, a dual-mode signal constellation is designed and applied, and a three-stage detector based on LLR algorithm is applied for the receiver. Due to more index activation patterns produced in the transmitter, spectral efficiency (SE) of the proposed system is efficiently improved compared with the traditional ZTM-OFDM-IM system.

zh-cn	仿真结果表明：利用设计的低复杂度检测器，GZTM⁃OFDM⁃IM 在实现了高 SE 的同时，系统的误比特率（BER）性能在高信噪比（SNR）范围与传统 ZTM⁃OFDM⁃IM 相比没有降低，且 BER 性能与理论差错性能上边界非常接近。
en-us	Simulation results show that the GTM-OFDM-IM system has higher SE than the corresponding ZTM-OFDM-IM, and maintains the bit error rate (BER) performance depending on the proposed detection algorithm with low computational complexity. And theoretical BER upper bound of the proposed system is fit to the simulation results at the high signal-to-noise ratio (SNR) region.

zh-cn	纳米生物传感器以及太赫兹技术的发展能够满足肺部医学数据高速可靠地传输到远程医疗机构的要求，因此体内太赫兹纳米传感器网络在远程肺部健康监测方面有着巨大的应用前景。
en-us	The development of nano-biosensors and terahertz technology can meet the requirements of high-speed and reliable transmission of lung medical data to telemedicine institutions． Therefore, intra-body terahertz nanosensor network has great application prospects in remote lung health monitoring．

zh-cn	考虑到纳米节点能量有限且肺部数据传输对时延要求高的问题，提出了一种低时延低能耗 (Low Delay Low Energy consumption，LDLE)的拓扑模型。
en-us	Considering the limited energy of the nanonodes and the strict latency requirements for data transmission, a low-delay low-energy consumption (LDLE) topology model is proposed．

zh-cn	该模型以最小化网络总时延和能耗为目标，将拓扑设计问题转化为混合整数非线性规划模型的求解问题并求解出最优目标。
en-us	The model aims at minimizing the total network delay and energy consumption, and transforms the topology design problem into a mixed integer nonlinear programming model solution problem and solves the optimal goal．

zh-cn	研究表明，网状拓扑结构具有较低网络时延、较高吞吐量以及较长的网络生存期，能满足肺部太赫兹纳米传感器网络的低能耗和低时延的要求。
en-us	The result shows that the mesh network topology has low network delay, high throughput and long network lifetime, which can meet the requirements of low energy consumption and low delay of lung terahertz nanosensor network．

zh-cn	由于神经网络强大的学习能力与快速的运行速度，近年来基于深度学习的图像压缩感知(Image Com-pressive Sensing，ICS)研究备受关注。
en-us	Due to its great learning ability and fast processing speed, deep learning-based image compressive sensing (ICS) methods attract a lot of attention in recent years．

zh-cn	然而，大多数现有 ICS 神经网络的结构设计忽略了传统迭代重构算法中的数学理论基础，无法有效利用信号中的先验结构知识，可解释性较差。
en-us	However, the design of most existing ICS neural networks architecture ignore the mathematical theory in iterative optimization-based methods and cannot effectively use the prior structure knowledge in the signal, leading to lack of the interpretability．

zh-cn	为了保留优化算法核心思想并同时利用深度学习的高性能，本文使用可学习的卷积层替代了传统平滑投影 Landweber 算法(Smooth Projected Landweber，SPL)中的人工设计参数，提出一种新型 ICS 神经网络 SPLNet。
en-us	In order to retain the core ideas of the optimization algorithm and utilize the high performance of deep learning, this paper uses learnable convolutional layers to replace the predefined filters and artificial design parameters in the traditional smooth projected Landweber algorithm (SPL), and proposes a ICS neural network named SPLNet．

zh-cn	在 SPLNet 中，设计了一个独特的网络结构 SPLBlock 实现 SPL 迭代过程中的三个核心步骤: (1)去除块效应的维纳滤波器;
en-us	In SPLNet, we design a unique network structure SPLBlock to implement three key steps inSPL iteration: (1)Wiener filter for removal of blocking artifacts;

zh-cn	(2)在凸投影集合上的近似操作;
en-us	(2)approximation with projection onto the convex set;

zh-cn	(3)实现稀疏表示及去噪的变换域双变量收缩。
en-us	(3)bivariate shrinkage on transform domain for sparse representation and denoising．

zh-cn	仿真实验结果表明:与现有最优的 ICS 优化迭代算法 GSＲ 相比，SPLNet 的重构图像平均 PSNＲ 提升了0.78dB;与最优的神经网络框架 SCSNet 相比，SPLNet 的重构图像平均 PSNＲ 提升了 0. 92dB。
en-us	Experimental results indicate that, compared with current state-of-the-art ICS optimization iterative algorithm GSＲ, the average reconstructed image PSNＲ of SPL-Net are improved by 0. 78dB, and compared with state-of-the-art neural network framework SCSNet, the average reconstructed image PSNＲ of SPLNet are improved by 0.92dB．

zh-cn	针对现有算法在卷积码参数识别过程中存在计算量大、容错性差的缺点，提出了一种基于迭代消元的快速识别方法。
en-us	In order to overcome the shortcomings of high computational complexity and low fault tolerance of the existing algorithms for recognition of convolutional codes, a fast convolutional code identification method based on iterative elimination is proposed．

zh-cn	算法首先在理论上分析了基于传统高斯消元识别算法的性能，验证并给出了可靠出现一次校验向量的最少消元迭代次数;
en-us	Firstly, the proposed algorithm analyzed the performance of the traditional Gauss elimination method, and the minimum number of iterations was given to ensure the presence of check vectors．

zh-cn	其次，通过遍历可能的最小校验约束长度和卷积码码率，构建消元矩阵，求解疑似校验向量;
en-us	Secondly, by traversing the possible minimum constraint length and convolutional code rate, the elimination matrix was constructed, and as a result, the suspected check vectors were obtained．

zh-cn	最后基于最小错误判决准则设定判决门限，实现在高误码率下校验多项式矩阵快速识别。
en-us	Finally, we set the decision threshold based on the minimum error decision criterion，which realized fast identification of check polynomial matrix at high bit error rate．

zh-cn	仿真结果表明，推导的理论性能与仿真结果一致，提出的算法具有较强的容错性能。
en-us	The simulation results show that the theoretical performance is consistent with the simulation results, and the proposed algorithm has strong fault-tolerant performance．

zh-cn	与现有方法相比，复杂度明显降低。在智能通信或通信侦察领域具有较好的应用前景。
en-us	Compared with the existing algorithms, the proposed algorithm has advantages in computational efficiency, and it has agood prospect in application of intelligent communication or communication reconnaissance．

zh-cn	为优化三相逆变器的性能，提出了一种高效率三相谐振极逆变器。
en-us	In order to optimize the performance of three-phase inverter, a high efficiency three-phase resonant inverteris proposed．

zh-cn	在各相桥臂上增设的辅助谐振电路参与逆变器的换流过程时，桥臂上的各主开关并联的谐振电容的电压能周期性形成零状态，使主开关能完成零电压软切换，而且辅助谐振电路中的各开关器件也能完成零电流软开通和零电压软关断。
en-us	When the auxiliary resonant circuit on each phase leg works in the commutation process of the inverter, the voltage across the capacitor parallel with the main switch can periodically change to zero, so that the main switch device can achieve zero-voltage soft switching，and the switching devices in the auxiliary resonant circuit can achieve zero-voltage turn-on and zero-current turn-off.

zh-cn	开关器件实现软切换能降低开关损耗，从而使逆变器实现高效率运行。
en-us	Soft switching can reduce switching loss and improve the efficiency of the inverter.

zh-cn	文中分析了电路的工作流程。
en-us	In this paper, the working flow of the circuit is analyzed．

zh-cn	3kW 样机上的实验结果表明主开关和辅助开关都处于软切换。
en-us	The experimental results on the 3kW prototype show that both the mainswitch and the auxiliary switch achieve soft switching．

zh-cn	因此，该拓扑结构对于研发高性能三相逆变器具有借鉴价值。
en-us	Therefore, this topology structure has reference for the research and development of high performance three-phase inverter．

zh-cn	针对传统磁梯度张量方法定位精度易受运动载体平台晃动影响的问题，本文提出了一种基于十字形磁梯度张量系统结构的磁梯度张量特征值不变量定位方法，该算法有效了克服载体平台晃动对定位精度带来的影响，并进一步分析了影响该算法定位性能的因素。
en-us	Considering that the localization accuracy of the traditional magnetic gradient tensor method is easily affected by the swaying of the moving carrier platform, we propose an improved localization method based on the eigen value invariant of the magnetic gradient tensor. The proposed method can overcome the effects on the location accuracy caused by the swaying of the carrier platform, and the factors which would affect the localization performance are analyzed as well．

zh-cn	相比于三阶张量定位算法与多点测量线性定位算法，本文算法的代价在于AUV(Autonomous Underwater Vehicle)载体平台必须要有一次上升或下潜动作。
en-us	Compared with the third-order tensor localization method and the multi-point linear localization method, the cost of the pro-posed method is that a rising or diving action of the AUV (Autonomous Underwater Vehicle) platform is needed．

zh-cn	仿真实验结果表明:在无环境磁干扰和平台无晃动的理想情况下，本文算法的定位精度仅次于欧拉定位法，当存在环境磁干扰时，欧拉法定位性能迅速恶化;
en-us	The simulation results show that the localization accuracy of the proposed method is close to that of Euler localization method when no environmental magnetic interference and no swaying of the platform exist． However, the localization performance of Eulermethod would deteriorate rapidly when some environmental magnetic interference exists．

zh-cn	相比于三阶张量定位算法和多点测量线性定位算法，无论环境磁干扰有无以及晃动角度多大，本文定位算法的性能皆优于两者，即使当运动载体平台晃动角度增加到 10°时，本文算法的最大定位误差也不超过 15m。
en-us	Compared with the third-order tensor localization algorithm and the multi-point linear localization algorithm, the performance of the proposed method is better, regardless of the magnetic interference or the swaying magnitude. The maximum localization error of the proposed method is no more than 15m, despite the swaying of the moving platform is increased to 10°．

zh-cn	Ｒ 波作为心电信号中最明显的特征，常作为确定心电信号其他波段的重要依据。
en-us	As the most obvious feature of electrocardiogram (ECG), R wave is often used as an important basis to determine other bands of ECG．

zh-cn	针对现有算法识别率低的问题，提出一种基于经验小波变换和信号结构特征的 Ｒ 波识别算法。
en-us	Aiming the low recognition rate of existing algorithms, an Ｒ-wave recognition algorithm based on empirical wavelet transform and signal structure characteristics is proposed．

zh-cn	首先利用经验小波变换对心电信号频谱进行自适应分割，在分割区间上构造合适的小波滤波器组提取出具有紧支撑的模态分量，然后对提取出的各模态分量进行频谱分析，找出 Ｒ 波对应的高频分量并对其进行结构分析，从而实现 Ｒ 波的准确定位。
en-us	Firstly, the empirical wavelet transform is used to adaptively segment the spectrum of ECG signal, and the appropriate wavelet filter banks are constructed in the segmentation interval to extract the tightly supported modal components. Then, the spectrum of each extracted modal component is analyzed to find out the corresponding high frequency component of Ｒ wave and analyze its structure, so as to realize the accurate positioning of Ｒ wave.

zh-cn	仿真结果表明，所提算法对心电信号 Ｒ 波识别的灵敏度达到 99. 93% ，准确率达到了 99. 92% ，阳性准确率达到 99.99% ，并且算法耗时仅 0. 68s，对 Ｒ 波具有很好的识别效果。
en-us	The simulation results show that the sensitivity, accuracy and positive rate of the proposed algorithm for Ｒ-wave recognition of ECG signal are 99. 93%, 99. 92% and 99. 99% respectively, and the algorithm takes only 0.68s with a good recognition effect for Ｒ-wave．

zh-cn	针对蝴蝶优化算法存在的问题，提出一种融合差分变异策略并根据进化代数自适应调整权重的蝴蝶优化算法。
en-us	Aiming at the problem of butterfly optimization algorithm, this paper proposes a butterfly optimization algorithm which fuses the differential mutation strategy and adaptively adjusts the weight according to the evolutionary algebra．

zh-cn	首先，在全局搜索阶段引入非线性惯性权重改善蝴蝶位置更新公式，自适应调节算法在不同进化时期的搜索范围和粒度，提高算法的收敛速度与寻优精度;
en-us	The nonlinear inertial weight is introduced in the global search stage to improve the update equation of butterfly position, the search range and granularity of the algorithm in different evolution periods are adjusted adaptively, and the convergence speed and optimization accuracy of the algorithm are improved．

zh-cn	然后通过加入 F 分布全局自适应随机变异对全局公式进一步改进，提升算法的全局探索遍历性，防止出现低精度早熟现象;
en-us	The global equation is further improved by adding Fdistribution global adaptive random mutation to improve the global search ergodicity of the algorithm, and prevent the occurrence of low precision precocious phenomenon．

zh-cn	最后在局部搜索阶段融入具有判定系数和扰动因子的双向差分变异策略，在不减损种群多样性的同时使蝴蝶个体的探索更具方向性，有利于算法摆脱局部极值点，加快收敛速度。
en-us	The bidirectional differential mutation strategy with decision coefficient and disturbance factor is integrated in the local search stage, which makes the exploration of butterfly individuals more directional without derogating the diversity of the population, which is beneficial to the algorithm to get rid of the local extremum points and speed up the convergence speed．

zh-cn	理论分析证明了改进算法的时间复杂度与基本蝴蝶优化算法一致，6 种代表性对比算法在 CEC 2017 基准函数上进行的多种维度测试结果表明，改进算法在求解高维复杂函数优化问题时收敛速度和寻优精度明显优于其它对比算法，维度变化对求解性能的影响更小，寻优性能更好更稳定。
en-us	The theoretical analysis proves that the time complexity of the improved algorithm is consistent with the basic butterfly optimization algorithm. The multi-dimensional test results of six representative contrast algorithms on benchmark functions of CEC 2017 show that the optimization accuracy and convergence speed of the improved algorithm is obviously better than those of other contrast algorithms in solving the optimization problem of high-dimensional complex functions, and the change of dimensions have less impact on the performance of the algorithm, and the optimization performance is better and more stable．

zh-cn	为弥补现有研究在软件定义网络(Software-Defined Networking，SDN)控制平面未知漏洞防御方面的空白，本文提出了一种基于多维异构特征与反馈感知调度的内生安全控制平面的设计方案。
en-us	In order to make up for the gap of the existing research in the defense of unknown SDN (Software-Defined Networking) vulnerabilities, this paper proposes an SDN endogenous security control plane based on multi-dimensional het-erogeneous features and feedback-aware scheduling strategy．

zh-cn	该方案以“冗余、异构和动态”为切入点，通过组合执行体冗余集构建策略、多维异构元素着色策略和动态反馈感知调度策略，有效增加 SDN 控制平面对攻击者所呈现的执行体时空不确定性(逆转攻防不对称性)。
en-us	This scheme effectively increases the spatio temporal uncertainty of the execution body in the SDN control plane (reversing the asymmetry between attack and defense) by combining a redundant set construction strategy, a multi-dimensional heterogeneous element coloring strategy, and a dynamic feedback-a-ware scheduling strategy．

zh-cn	相关仿真结果表明该方案可以收敛全局执行体数目、增加执行体之间的多维异构度并降低系统全局失效率。
en-us	The related simulation results show that the scheme can converge the number of executive bodies, increase the multi-dimensional heterogeneity index and reduce the global failure rate of the system．

zh-cn	受编码构造原理限制，极化(Polar)码的码长只能是 2 的幂次方，不能很好地适应信道状况和系统资源对编码参数在灵活性方面的要求。
en-us	The length of the conventional polar code is limited to the power of two due to its basic construction principle, which may not guarantee the flexibility requirement of the coding parameters for the channel situations and system resources．

zh-cn	凿孔、缩短和重复操作是解决该问题的三种基本技术手段。
en-us	Puncturing, shortening and repetition are three main techniques to overcome this problem．

zh-cn	本文从分层结构角度，提出一种基于周期性分层重排构造的凿孔设计算法，能够方便地得到码长和码率灵活可调的速率兼容极化码(Ｒate-Compatible Punctured Polar，ＲCPP);
en-us	A new puncturing algorithm based on hierarchical permutation structure is presented，which can conveniently construct the rate-compatible punctured polar (ＲCPP) with flexible lengths and rates．

zh-cn	同时，算法在执行逐层分裂操作时对左右子图的凿孔位置数进行了设计，使得最终的凿孔图样具有均匀或准均匀凿孔(Quasi-Uniform Puncturing，QUP)的分布特性。
en-us	For the presented algorithm, the punctured-bit number is well designed while performing the layer-by-layer splitting operation, and thus the resulting puncture pattern has the uniform or quasi-uniform puncturing (QUP) distribution.

zh-cn	仿真结果显示，在误帧率为 1e-5 时，本文算法相比于随机凿孔方案具有约 0. 3dB 的增益，相比于传统的 QUP 方案也能获得约 0.15dB 的译码增益。
en-us	Simulation results show that, the presented algorithm can achieve about 0. 3dB and 0. 15dB performance gains at a BLEＲ of 1e-5 compared to the random puncturing algorithm and the conventional QUP algorithm, respectively．

zh-cn	此外，本文算法得到的凿孔图样更加丰富，能方便构造出更多实用的 ＲCPP 可选码型。
en-us	Furthermore, the presented algorithm has more available puncture patterns, which may result in more practical ＲCPP codes．

zh-cn	为了平衡粒子群算法多样性与收敛速度，本文在 Memetic 框架下结合多属性决策，提出基于直觉模糊Memetic 双种群混合优化算法。
en-us	In order to mitigate the difficulty of balancing diversity and convergence in heuristic algorithm, this paper proposes an IF-memetic hybrid double particle swarm optimization (IFMHDPSO) based on intuitionistic fuzzy memetic framework and multi-attribute decision．

zh-cn	算法采用探索与开发分布式策略，在探索阶段，设计了社会强化算子和碰撞反弹算子提升种群多样性与勘探更多新区域;
en-us	There are two independent exploration and exploitation populations employing dis-tributed strategies in which social reinforcement operator and collision rebound operator are proposed to improve diversity of algorithm and explore new areas in populations of exploration．

zh-cn	通过建立直觉模糊多属性决策对探索区域综合评估并生成可能存在的全局最优解区域，进而指导具有拉马克学习的开发种群进行局部精细搜索，实现不同策略下种群间的分布式协作与计算资源的合理分配。
en-us	Moreover, an intuitionistic fuzzy multi-attribute decision making is built up for comprehensively evaluating the solution space to get the potential global optimal solution area, which canguide the PSO (Particle Swarm Optimization) with Lamarckian mechanism to carry out the local search to achieve cooperation between populations under different strategies and reasonable allocation of computational resources．

zh-cn	通过与其它 5 种新型进化算法在 23 个基准函数测试结果中体现出本算法具有更好的综合优化能力。
en-us	Compared with other 5 new evolutionary algorithms, IFMHDPSO is of better comprehensive optimization in 23 benchmark function test results．

zh-cn	冲击噪声环境下的测向算法大多基于分数低阶统计量，其不仅计算复杂度较高，而且对强冲击噪声的适应性也较差。
en-us	The present direction of arrival (DOA) estimation methods in impulsive noise environment are mostly based on the fractional lower order statistics, which has huge computational complexity and poor performance at strong impulsive noise．

zh-cn	通过对冲击噪声的分布特性进行研究和分析，利用其冲击成分出现概率相对较低且具有随机性的特点，提出了基于中值滤波的测向新方法，并推导了冲击噪声背景测向的克拉美罗界。
en-us	By researching and analyzing the distribution of the impulsive noise, we propose a method based on the median value filtering utilizing the low probability and randomness of the impulse. And we present the Cramer-Rao bound (CＲB) of angle estimation in the impulsive noise．

zh-cn	首先，引入中值滤波方法对阵列接收数据进行平滑处理，滤除冲击噪声，并提出了针对强冲击噪声的改进方法，然后利用传统的二阶矩方法求阵列接收数据协方差矩阵并进行波达方向(Direction Of Arrival，DOA)估计。
en-us	The median value filtering method is applied to the array received data to eliminate the impulse noise, and the improved method is derived for DOA estimation in strong impulsive noise. Then, the common second-order moment method can be exploited to estimate the DOAs．

zh-cn	理论分析和仿真验证结果表明:所提方法处理过程简单，对低信噪比和强冲击噪声情况下的测向性能有很大的改善和提高。
en-us	Theoretical analysis and simulation results show that the proposed method has small computational load as well as excellent performance, and can improve the estimation performance at low signal to noise ratio and strong impulsive noise remarkably．

zh-cn	目前的新闻分类研究以英文居多，而且常用的传统机器学习方法在长文本处理方面，存在局部文本块特征提取不完善的问题。
en-us	At present, most of the researches on news classification are in English, and the traditional machine learning methods have a problem of incomplete extraction of local text block features in long text processing．

zh-cn	为了解决中文新闻分类缺乏专门术语集的问题，采用构造数据索引的方法，制作了适合中文新闻分类的词汇表，并结合 word2vec 预训练词向量进行文本特征构建。
en-us	In order to solve the problem of lack of special term set for Chinese news classification, a vocabulary suitable for Chinese text classification is made by constructing a data index method, and the text feature construction is combined with word2vec pre-trained word vector．

zh-cn	为了解决特征提取不完善的问题，通过改进经典卷积神经网络模型结构，研究不同的卷积和池化操作对分类结果的影响。
en-us	In order to solve the problem of incomplete feature extraction, the effects of different convolution and pooling operations on the classification results are studied by improving the structure of classical convolution neural network model．

zh-cn	为提高新闻文本分类的精确率，本文提出并实现了一种组合-卷积神经网络模型，设计了有效的模型正则化和优化方法。
en-us	In order to improve the precision of Chinese news text classification, this paper proposes and implements a combined-convolution neural network model, and designs an effective method of model regularization and optimization．

zh-cn	实验结果表明，组合-卷积神经网络模型对中文新闻文本分类的精确率达到 93. 69% ，相比最优的传统机器学习方法和经典卷积神经网络模型精确率分别提升 6. 34% 和 1.19% ，并在召回率和 F 值两项指标上均优于对比模型。
en-us	The experimental results show that the precision of the combined-convolutional neural network model for Chinese news text classification reaches 93. 69% , which is 6.34% and 1.19% higher than the best traditional machine learning method and classic convolutional neural network model, and it is better than the comparison model in recall and F-measure．

zh-cn	本文提出了一种基于增材加工工艺的带通频率选择表面设计。
en-us	A band-pass frequency selective surface (FSS) design based on additive processing is presented．

zh-cn	传统频率选择表面(Frequency SelectiveSurface，FSS)通常由 PCB(Printed Circuit Board)工艺加工实现，难以与大面积柔性覆盖等场合兼容。
en-us	The traditional FSS is usually processed by PCB (Printed Circuit Board) technology, which is difficult to be compatible with large-area flexible coverage．

zh-cn	为此，本文提出了基于丝网印刷与电镀的增材加工方法实现对带通频率选择表面的加工，并通过一种螺旋风车形缝隙结构带通 FSS 设计进行验证。
en-us	To this end, this paper proposes an additive processing method based on screen printing and electroplating to realize the processing of the band-pass FSS, and is verified by a design of band-pass FSS with spiral windmill-shaped slot structure．

zh-cn	设计与测试表明，实现的带通 FSS 在 C 波段提供了 6 ～ 8GHz 的通带，带内最小插损 2. 48dB。
en-us	The design and experiment show that the realized band-pass FSS provides a pass-band of 6 ～ 8GHz in the C-band, and the minimum insertion loss is about 2.48 dB．

zh-cn	该 FSS 表现出良好的机械柔性，并在 0 ～ 60°宽角度入射波，以及不同极化条件下，表现出稳定的频率选择特性。
en-us	The FSS exhibits good mechanical flexibility, and exhibits stable frequency selection characteristics under incident waves with a wide angle of 0 ～ 60° and different polarization conditions．

zh-cn	这一宽角度与极化稳定性对于柔性 FSS 在共形覆盖条件下应用不可或缺。
en-us	This wide angle and polarization stability are indispensable in the application of flexible FSS under conformal coverage conditions．

zh-cn	相较于传统 PCB 工艺，本文提出的基于增材工艺带通 FSS不但成本低、加工效率高，还具有柔性共形、极化与宽角度稳定等优势，有望满足柔性覆盖/共形电磁兼容与防护的需求。
en-us	Compared with the traditional PCB process, the band-pass FSS based on additive process proposed not only has lowcost and high processing efficiency, but also has the advantages of flexible conformal, polarization and wide-angle stability. It is expected to meet the need for flexible coverage/conformal electromagnetic compatibility and protection．

zh-cn	曲率滤波算法通过构造滤波算子快速优化变分模型，但全变分曲率滤波及高斯曲率滤波易致去噪过平滑且椒盐噪声去除较差。
en-us	The curvature filtering algorithm optimizes the variational model quickly by constructing a filter operator, but the total variational curvature filtering and Gaussian curvature filtering are easy to cause over smooth denoising with poor salt and pepper noise removal．

zh-cn	提出了基于图像中值灰度相似度函数加权曲率滤波算法，其中，中值灰度相似度函数方差取决于小波变换最高频子带系数，能较好防止图像过平滑，且提高椒盐噪声去除能力;
en-us	A weighted curvature filtering algorithm based on image median gray similarity function is proposed, in which the variance of the median gray similarity function depends on the highest frequency subband coefficient of wavelet transform, which can prevent the image from being too smooth and improve the ability of removing salt and pepper noise．

zh-cn	因此，采用中值灰度相似度函数分别对局部高斯曲率与局部全变分曲率投影算子加权，并分别迭代局部加权高斯曲率投影算子与局部加权全变分曲率投影算子，直至输出图像梯度总能量满足停止条件。
en-us	Therefore, the local Gaussian curvature projection operator and the local total variational curvature projection operator are weighted by the median gray level similarity function, and the local weighted Gaussian curvature projection operator and the local weighted total variational curvature projection operator are iterated respectively until the total energy of the output image gradient meets the stop condition．

zh-cn	实验表明，基于图像中值灰度相似度函数加权全变分曲率滤波与加权高斯曲率滤波比传统全变分曲率滤波和高斯曲率滤波去噪效果更好。
en-us	Experimental results show that the denoising effect of weighted total variation curvature filter and weighted Gaussian curvature filter based on image median gray similarity function is better than the traditional total variation curvature filter and Gaussian curvature filter．

zh-cn	研究多天线窃听者场景基于混合精度模数转换器(Analog-to-Digital Converter，ADC)大规模多输入多输出(Multiple Input Multiple Output，MIMO)中继系统，中继将接收到的信号放大转发，通过在基站采用最大比合并接收信号，推导出合法用户与窃听者的频谱效率表达式，最终得出系统保密频谱效率表达式。
en-us	The multi-antenna eavesdropper scenario based on a mixed-precision analog-to-digital converter massive MI-MO (Multiple Input Multiple Output) relay system is studied, where the relay amplifies and forwards the received signal. Using maximum ratio to combine the received signals at the base station, the expressions of spectral efficiency of legitimate users and eavesdroppers are derived, and the expression of secrecy spectral efficiency of the system is obtained．

zh-cn	根据能量效率定义建立功耗模型，推导保密能量效率表达式，并分析保密频谱效率和保密能量效率之间的平衡关系，进而揭示基站天线数、ADC量化位数等参数对物理层安全性能的影响。
en-us	Based on the definition of energy efficiency, a power consumption model is established． The expression of secrecy energy efficiency is derived. And the tradeoff between the secrecy spectral efficiency and the secrecy energy efficiency is analyzed. It further reveals the influence of parameters such as the number of base station antennas and the number of ADC (Analog-to-Digital Converter) quantization bits on the physical layer security performance.

zh-cn	仿真结果表明，随着窃听者天线数增多，窃听能量增强，保密频谱效率会减小;
en-us	The simulation results show that as the number of eavesdropper antennas increases and eavesdropping energy increases, the secrecy spectral efficiency will decrease.

zh-cn	ADC 量化位数为 4 时，在保证保密频谱效率的同时也能得到较高的保密能量效率。
en-us	When the number of ADC quantization bits is 4, it can also obtain a higher secrecy energy efficiency, while ensuring the secrecy spectral efficiency．

zh-cn	随着 VLSI(Very Large Scale Integrated)芯片设计的规模越来越大，功能越来越复杂，在 FPGA(Field Pro-grammable Gate Array)上实现或进行原型验证时，往往会出现布线拥塞或无法布通的情况。
en-us	With the growing scale and complexity of VLSI (Very Large Scale Integrated) chip designs, the FPGA (Field Programmable Gate Array) detailed routing process generally meets the congestion or unroutable problems during the FPGA implementation or prototype verification.

zh-cn	而不可满足子式能够迅速诊断 FPGA 无法布通的原因，并且精确定位关键线网。
en-us	The unsatisfiable subformulas can quickly diagnose the FPGA un-routable root cause, and accurately localize the critical nets.

zh-cn	针对如何加速 FPGA 详细布线过程，提出了一种基于消解否证的启发式局部搜索算法，能够快速从布尔公式中提取不可满足子式。
en-us	In order to accelerate the FPGA routing process, we have proposed a heuristic local search algorithm based on resolution refutation, to derive the unsatisfiable subformulas from the Boolean formulas.

zh-cn	基于典型的 FPGA 布线测试集，与两种求解最小不可满足子式效率最高的算法进行了比较，结果表明局部搜索算法在运行效率方面显著优于分支限界算法与贪心遗传算法，而局部搜索算法也能得到最小不可满足子式;
en-us	On the typical FPGA routing benchmarks, the local search algorithm has been compared to the two optimal minimum unsatisfiable subformula extraction algorithms. The experimental results show that the local search algorithm strongly outperforms the branch-bound algorithm and the greedy generic algorithm, and it also obtains the minimum unsatisfiable subformula．

zh-cn	并且深入分析了不可满足子式在 FPGA 详细布线中的作用，能够加速芯片的设计与验证过程。
en-us	Furthermore, the unsatisfiable subformula plays an important role in FPGA routing, and it can improve the efficiency of design and verification of the VLSI chips．

zh-cn	具有高可用性和安全性的去中心化存储因其应用的相同参数低码率 ＲS(Ｒeed-Solomon codes)码存在修复带宽较高的问题。
en-us	Decentralized storage with high availability and security has the problem of high repair bandwidth due to the same parameter low rate Ｒeed-Solomon codes．

zh-cn	对此，提出一种基于可信度的低修复带宽 DHitchhiker 码。
en-us	Thus, a low repair bandwidth DHitchhiker based on credibility is proposed．

zh-cn	首先将 Hitchhiker 码的第一子条带中的数据节点和部分校验节点捎带在余下的校验节点的第二个子条带上;
en-us	Data nodes and some parity nodes in the first sub-stripe of Hitchhiker are piggy backed on the second sub-stripe of the remaining parity nodes．

zh-cn	接着将节点分类，让高可信节点存储余下的校验节点，低可信节点存储数据节点和部分校验节点，并让不同类型的节点采用不同的修复策略;
en-us	We classify the nodes, and let the high-credit nodes store the remaining parity nodes, the low-credit nodes store the data nodes and some parity nodes, and different types of nodes adopt different repair strategies．

zh-cn	最后理论结合实验证明，在修复低可信节点时，DHitchhiker 可降低约 25% 的修复带宽;
en-us	It is proved that the repair bandwidth can be reduced by about 25% at repairing low-credit nodes.

zh-cn	在整体上，未分类存放的 DHitchhiker 码可降低约0.5% 的修复带宽，基于可信度的 DHitchhiker 码可降低约 1% 的修复带宽和 2.5% ～ 3. 3% 的修复时间。
en-us	And the repair bandwidth can be reduced by about 0.5% without classifying the nodes． What's more, the repair bandwidth can also be reduced by about 1% and the repair time can be reduced by about 2. 5% ～ 3. 3% based on the credibility of the nodes．

zh-cn	围绕无线传感器网络(Wireless Sensor Network，WSN)在直达(Line-Of-Sight，LOS)与非直达(Non-Line-Of-Sight，NLOS)混合传播环境中目标无源定位精度提高问题，提出基于弧边凸包的残差检测(Ｒesidual Test based onArc-edged Convex hull，ＲTAC)算法。
en-us	To improve the locating accuracy for wireless sensor networks (WSN) in the mixed propagation environment of non-line-of-sight (NLOS) and line-of-sight (LOS) during passive localization, an algorithm named residual test based on arc-edged convex hull (ＲTAC)is proposed．

zh-cn	ＲTAC 算法利用各个传感器的测距残差分布特点，在极坐标系构建反映残差点分布的偏移圆模型，并利用最小弧边凸包对传感器分组与识别，实现对网络中全部 LOS 传感器的识别。
en-us	ＲTAC algorithm uses the distribution characteristics of ranging residuals of sensors to construct an offset circle model reflecting the distribution of residual points in the polar coordinate system, and uses the minimal arc-edged convex hull to group and identify the sensors in order to realize the LOS sensor identificationin the network．

zh-cn	仿真结果表明，ＲTAC 算法能够在低计算复杂度下实现对 LOS 传感器的正确识别，且具有更优异的目标定位性能。
en-us	The simulation results demonstrate that ＲTAC algorithm can realize the correct identification of LOS sensors under a lower computational complexity, and can obtain better location performance．

zh-cn	ＲTAC 算法是适用于混合传播环境中 LOS 传感器识别的高效算法。
en-us	ＲTAC algorithm is an efficient algorithm for LOS sensor identification in mixed propagation environment．

zh-cn	针对用频设备复杂电磁环境适应性试验评估的技术需求，从场路线性耦合、电路非线性响应机理出发，引入三阶互调阻塞干扰因子，建立了三阶互调阻塞效应模型。
en-us	Aiming at the technical requirements of the complex electromagnetic environment adaptability test and evaluation for the spectrum-dependent equipment, starting from the linear coupling of field with circuit and the nonlinear response mechanism of circuit, the third-order intermodulation blocking effect model is established by introducing the third-order intermodulation blocking interference factor．

zh-cn	理论推导与实验测定相结合，给出了模型参数的确定方法、三阶互调阻塞效应建模评估流程，以通信电台作为受试设备进行了实验验证。
en-us	Combining theoretical derivation and experimental measurement, the method of determining model parameters and the process of modeling and evaluation of third-order intermodulation blocking effectare given, and the experimental verification is carried out using the communication radio as the equipment under test．

zh-cn	结果表明:利用在特定工作频率下测试确定的用频设备三阶互调阻塞干扰因子，假定其不随辐射干扰频偏变化，依据用频设备单频电磁辐射阻塞临界干扰场强变化曲线和环境电磁场频谱分布参数，能够准确评估用频设备的三阶互调阻塞效应，误差小于 1dB。
en-us	The results show that, using the third-order intermodulation blocking interference factor of the spectrum-dependent equipment tested at a specific working frequency, assuming that it does not change with the frequency offset of the radiated interference, according to the variation curve of the critical interference field strength of the single frequency electromagnetic radiation blocking for the spectrum-dependent equipment and the distribution parameters of environmental electromagnetic field spectrum,the third-order intermodulation blocking effect of the spectrum-dependent equipment can be accurately evaluated, and the tested error is less than 1dB．

zh-cn	井下地电阻率观测方法能有效减小和抑制地表干扰因素影响，提高观测精度。
en-us	Borehole geo-electric resistivity observation is an effective method to reduce or eliminate the earth's surface interference and as a result to improve the accuracy of observed data．

zh-cn	近年来，该方法在国内得到了快速发展。
en-us	It has been developed rapidly in our homeland in recent years．

zh-cn	但也存在一些需要解决的问题，其中观测装置稳定性就是很重要的一个问题，影响装置稳定性最重要的因素就是外线路绝缘性能。
en-us	However, there are some key technical issues that need to be solved. Among them, the long-term stability of the configuration system is an important issue. The most important factor affecting the stability is the insulation performance of outdoor wireline．

zh-cn	外线路埋设在上百米深的地下，其绝缘性能在长期的观测中可能出现变化，对观测结果造成影响。
en-us	This wire-line is often buried in a borehole deeper than 100 meters. Its insulation performance might deteriorate in a long-term observation, which thus may cause a wrong measured resistivity．

zh-cn	本文通过理论分析计算，定量给出了井下地电阻率观测中线路绝缘性能对观测结果影响，并据此提出了外线路绝缘的技术要求，为该类台站的设计、建设和运行提供了技术依据。
en-us	Based on theoretical analysis and nu-merical calculation, we study quantitatively the influence of the insulation performance of outdoor wireline, and then put forward the technical requirements.  It might be a technical reference for the design, construction and operation of borehole geo-electric resistivity observation system at a station．

zh-cn	针对自动化立体仓库存在的出入库任务多、堆垛机利用率失衡、产品质量差别大及任务执行过程对质量产生影响的问题，提出一种基于权重策略及非均匀消除-扩散概率分布的情绪化细菌觅食算法。
en-us	In view of the problems existing in the automated warehouse, such as many in and out tasks, unbalanced u-tilization of stacker, great difference in product quality and the impact of task execution process on quality, an emotional bacteria foraging algorithm based on weight strategy and non-uniform elimination diffusion probability distribution is proposed．

zh-cn	构建以运行时间最小化、堆垛机利用率均衡化、货架稳定性、对产品质量影响程度为目标的集成优化模型;
en-us	In order to minimize the running time, equalize the utilization rate of stacker, stabilize the shelf and influence the quality of products, an integrated optimization model is built．

zh-cn	针对细菌觅食算法存在的趋化步长不确定及消除-扩散概率恒定等不足，在趋化过程中引入高斯分布搜索机制更新个体位置，避免算法陷入局部最优;引入情绪化突变，并在突变过程引入权重策略更新个体速度，并赋予细菌个体情绪感知因子实现个体速度自适应更新;
en-us	In view of the shortcomings of the bacterial foraging algorithm, such as uncertain chemotaxis step length and constant elimination diffusion probability，the Gaussian distribution search mechanism is introduced to update the individual position in the chemotaxis process to avoid the algorithm falling into local optimization, and the emotion is introduced in the mutation process, the weight strategy is introduced to update the individual speed, and the individual emotion perception factor is given to realize the adaptive step size to avoid the premature convergence of the algorithm;

zh-cn	针对原始算法消除-扩散概率的恒定性，提出非均匀概率分布代替传统的常数分布，以确保种群多样性。
en-us	around the constancy of probability in the elimination diffusion process, the non-uniform probability distribution is proposed to replace the traditional constant distribution to ensure the population diversity.

zh-cn	仿真及算法对比结果表明，本文提出的算法具有较好的性能。
en-us	Simulation and algorithm comparison results show that the proposed algorithm has better performance．

zh-cn	针对阿尔兹海默症、病变(如脑肿瘤)和健康老化的 3 类脑部 CT 图像分类问题，本文提出了一种改进的 ＲesNet-10 卷积神经网络模型。
en-us	To classify three types of brain CT (computerized tomography) images in Alzheimer's disease, lesion (e.g. , brain tumor) and healthy aging, an improved ＲesNet-10 convolutional neural network is proposed in this papers．

zh-cn	该模型在网络的残差映射结构中加入残差混合注意力模块，解决了原模型提取的特征分辨性弱的问题，精确捕捉了脑部组织在 CT 图像中的位置和内容信息;
en-us	A residual hybrid attention module is embedded in the residual identity mapping to capture the location and content information of brain tissue in brain CT images, solving the original model to extract weak distinguish features problems．

zh-cn	此外，本文设计了全局平均池化层，简化了模型的复杂度，并在其后引入 Dropout 机制，缓解了过拟合。
en-us	In addition, to simplify the improved model and alleviate the overfitting, several techniques such as global average pooling and Dropout are used in the model．

zh-cn	在训练阶段，该模型建立了标签平滑交叉熵损失函数，使模型在样本数量有限的情况下仍有较强的泛化能力。
en-us	Moreover, to have strong generalization ability in the case of limited sample quantity, tag smoothing cross-entropy loss function is adopted to train the model．

zh-cn	系列实验证明了改进后的 ＲesNet-10 网络模型在分类脑部 CT 图像时达到 97. 47% 的分类精度。
en-us	Experimental results show that the improved ＲesNet-10 achieves 97.47% accuracy in classifying brain CT images．

zh-cn	本文针对灰狼优化(Grey Wolf Optimizer，GWO)算法平衡全局探索和局部搜索能力的不足，提出了一种基于反向改进的灰狼算法(Opposition Learning Grey Wolf Optimizer，OLGWO)，来优化预测模型的超参数，以提高其用于交通流预测的精度与鲁棒性。
en-us	Focusing on the weakness of the balance capability between global exploration and local search in the classical GWO algorithm, a novel grey wolf algorithm based on opposition learning (OLGWO), which can evolve the hyper-parameters of forecasting model, is proposed to improve the accuracy and enhance the robustness of traffic flow forecasting models.

zh-cn	本算法在迭代过程中采用了反向学习策略，并引入了等级相关概念，主要通过计算普通狼与目标狼的 Spearman 相关系数，并根据其值来选择性地更新狼种群。
en-us	This algorithm is designed to take advantage of opposition learning strategy with the iterative process, and exploits the concept of rank correlation that can describe the Spearman correlation coefficients between the target wolf and the common wolves, and then selectively updates the each wolf of the whole population according to their values．

zh-cn	实验先对 12 个标准测试函数对比了四种算法 OLGWO、TGWO(Transformed Grey Wolf Optimizer)、GWO、PSO(Particle Swarm Optimization)，得到了寻优均值和标准差，验证了 OLGWO 算法具有突出的性能优势;
en-us	Firstly, the performance comparison of four algorithms (OLGWO, TGWO, GWO, PSO), based on 12 benchmark functions, is conducted in terms of the two metrics, namely the optimization means and standard deviations. The results verify the outstanding performance of the proposed algorithm．

zh-cn	然后采用美国加州公路交通流数据，在不同缺失率下比较了四种算法优化的反向传播(Back Propagation，BP)网络模型，结果显示，OLGWO-BP 模型预测精度比其它三种模型最高分别有1.95% 、3.98% 和 11.07% 的提升，同时表现出更好的稳定性。
en-us	Furthermore, based on the California highway traffic flow data, the four models optimized by the concerned algorithms are compared under different loss rates. The results show that the prediction accuracy of OLGWO-BP is higher than that of the others by 1.95% , 3.98% and 11.07% , respectively, and the stability is better．

zh-cn	针对现有可信中继 QKD(Quantum Key Distribution)网络路由方案应用于广域环境时存在着密钥交换效率低、密钥资源无意义消耗大的问题，分析了影响密钥交换效率的因素，设计了适应广域 QKD 网络的分层路由方案。
en-us	Aiming at the problems, such as low key exchange efficiency and large meaningless consumption of secret key materials, when the existing routing schemes for trust relaying QKD (quantum key distribution) network used in the wide-area environment, a hierarchical routing scheme which is suitable for wide-area QKD network was designed.

zh-cn	该方案将 QKD 网络划分为若干路由域，并通过拓扑聚合构建分层 QKD 网络，设计了基于最低层网络匹配的跨域密钥路由算法，使得高层路由域内一跳便可跨过多个低层路由域，极大地降低了密钥中继跳数，提高了密钥交换效率及密钥资源利用率。
en-us	This routing scheme divided the QKD network into multiple routing areas, built a hierarchical network by topological aggregation and designed a cross-domain routing algorithm based on the principle of the lowest layer matching． Then the hop number in the routing path is decreased, and the efficiency of key exchange and the utilization rate of secret key materials ware increased.

zh-cn	仿真结果表明分层路由方案相对于现有单层逐跳式路由方案能够提高大约 77.6% 密钥资源利用率，同时缩短一半密钥服务延时。
en-us	At last, the simulation results shows that our hierarchical routing scheme can increase about 77.6% utilization rate of secret key materials and reduce service delay by half compared with the existing routing schemes which just relaying secret key hop by hop in a single layer．

zh-cn	针对动态非刚性在线重建存在的重建漂移问题，提出了一种基于单个 ＲGB-D 传感器的稠密变形场在线融合策略，实现了对非刚性几何形状的动态重建。
en-us	In order to relieve the drift phenomenon in dynamic non-rigid online reconstruction, an online fusion strategy for dense deformation field based on a single ＲGB-D sensor is proposed, realizing the dynamic reconstruction for non-rigid geometries．

zh-cn	通过局部平滑和输入约束处理，将空间的最优变形转换为非线性正则变分优化问题，并使用数据并行闪存优化策略，以摄像机捕获速率，实现对非刚性场景的在线跟踪重建。
en-us	By local smoothing and input constraint strategy, the optimal deformation problem is transformed into non-linear regular variational optimization problem. We use the data parallel flash optimization strategy to achieve online tracking of non-rigid scene in camera tracking rate．

zh-cn	通过实验表明，本文方法实现了对非刚性场景的鲁棒跟踪，减少了在线重建过程中的漂移现象，适用于快速运动和缺乏几何特征的场景重建。
en-us	Experiments show that the proposed method achieves robust tracking of non-rigid scenes, which reduces drift in the process of online reconstruction, this algorithm is suitable for fast moving scene as well as the object lack of geometric features．

zh-cn	通过将移动边缘计算技术应用在车联网，车载边缘计算技术可为车载用户提供低时延、高带宽、高可靠性的应用服务。
en-us	With the integration of mobile edge computing offloading into internet of vehicles, vehicular edge computing offloading can support low-latency, high-bandwidth and high-reliability application services．

zh-cn	首先详细介绍了车载边缘计算卸载技术的背景、意义以及本文的贡献。
en-us	We first introduce the back-ground and significance of vehicular edge computing offloading technology as well as the contributions of this survey．

zh-cn	其次，分别概述了车载边缘计算卸载技术的网络架构、主要挑战以及应用场景。
en-us	Then, we describe the network architecture, key challenges as well as popular application scenarios of vehicular edge computing of-floading, respectively．

zh-cn	然后，从移动分析、卸载模式、资源协作和管理等多个维度全面综述了车载边缘计算卸载技术的研究工作。
en-us	After that, we provide the comprehensive survey of the state-of-the-art vehicular edge computing offloading from the different dimensions, including mobility analysis, offloading model, resource cooperation as well as management．

zh-cn	最后，对车载边缘计算卸载技术的未来研究进行了展望，可对该领域深入的研究提供有价值的参考。
en-us	Finally, we point out the future work about vehicular edge computing offloading, which can provide valuable reference and guidance for the in-depth study in vehicular edge computing offloading．

zh-cn	本文采用 0.18μm 标准 CMOS 工艺设计并制备了一种 MOS 结构的低压栅控硅基发光器件。
en-us	A MOS-like low operating voltage gate-controlled silicon-based light-emitting device is designed and fabri-cated using 0.18μm standard CMOS technology．

zh-cn	该光源器件内部采用 n+-p+-p+-n+-p+-p+-n+的叉指结构，在相邻两个 p+有源区之间覆盖多晶硅栅作为第三端控制电极，用于在源/漏区边缘形成场诱导结，降低 p+/n-well 结的反向击穿电压，提高器件发光功率。
en-us	The light emitting device adapts a n+-p+-p+-n+-p+-p+-n+interdigital structure, in which a poly-Si gate between two adjacent p+regions working as a third-terminal control electrode was designed. The poly-Si gate is used to produce field-induced junctions at the edge of source/drain region, so as to decrease the breakdown voltage of p+/n-well junction and increase optical power of the device．

zh-cn	测试结果表明，该光源器件可以发射 420nm ～ 780nm 的黄色可见光，在 3V 的正向栅压下，p+/n-well 发光二极管的反向击穿电压下降到 3V 以下，光输出功率提高至 2 倍以上。
en-us	The measured results indicate that the de-vice can emit yellow visible light with wavelength from 420nm to 780nm. Under forward gate voltage of 3V, the breakdown voltage of p+/n-well junction can be reduced to below 3V, and the optical power can be increased to more than twice.

zh-cn	本文设计的光源器件工作电压较低，并且与 CMOS 工艺完全兼容，可以与其他 CMOS 电路共用电源并且实现单片集成，在硅基光电子集成领域具有一定的应用价值。
en-us	Because of its low operating voltage and full compatibility with CMOS technology, the device can be integrated with other CMOS circuits by using a single power supply, which has certain applications in the field of silicon-based optoelectronic integration．

zh-cn	在高级公路中设置无线充电专用道路，对行驶中的电动车辆进行动态无线充电，引发了交通工程领域的深刻变革。
en-us	Special roads set up in highway used to realize dynamic wireless charging for In-motion electric vehicles that leads to a profound change in the field of traffic engineering．

zh-cn	然而在最大限度的保证电动车辆充电能效的前提下，如何对这类车辆进行调度和管理，以提高行车安全和道路的通行能力是一个无法回避的关键问题。
en-us	However, on the premise of the maximum charging effectof EV, how to schedule and manage such vehicles to improve traffic safety and road capacity is a key issue that cannot be avoided.

zh-cn	为此，本文首先建立了系统的车辆调度模型． 然后提出了一种新的精英反向变异粒子群算法(Ｒeverse Elitist Mutation Particle Swarm Optimization，ＲEMPSO)，通过与传统的粒子群和遗传算法的比对，证明了该算法的稳定性和寻优能力。
en-us	Therefore, this paper first establishes the vehicle scheduling model of the system. A new reverse elitist mutation particle swarm optimization (ＲEMPSO ) algorithm is proposed． And its rapidity, stability and optimization ability are proved by comparing with the traditional particle swarm optimization and genetic algorithm．

zh-cn	然后使用这一算法对系统模型进行求解，得出充电行驶中的优化移动隔离分区。
en-us	Finally, this algorithm is used to solve the system model, and the optimal moving isolation partition is obtained.

zh-cn	通过车-路协同为电动汽车动态无线充电的路权调度提供了一种可行的控制策略。
en-us	Based on cooperative vehicle infrastructure system, the paper provides a feasible control strategy for the right of way scheduling of dynamic wireless charging for In-motion EV．

zh-cn	针对软件定义网络(Software-Defined Networking，SDN)中控制平面和数据平面之间的控制链路性能受限导致的 Packet_In 传输瓶颈问题，提出了一种自适应的流量均衡算法，利用 SDN 网络控制平面拥有全局拓扑和交换机实时状态的特点，运用阈值对流量均衡起止条件进行控制，通过将超载交换机中流量重定向到邻居交换机的一跳转发的自适应方法，解决上行控制链路瓶颈问题。
en-us	An adaptive flow balancing algorithm is proposed for the Packet_In transmission bottleneck caused by thelimited control link performance between the control plane and the data plane in software-defined networking (SDN). The control plane of the SDN network has the characteristics of having a global topology and real-time status of switches, therefore we solve the bottleneck problem of the uplink control link by using thresholds to control the starting and ending conditions of flow balancing and redirecting flow in overloaded switch to neighbor switch.

zh-cn	与现有方法相比，减小了 33% 的上行控制链路负载与 50% 的 Packet-In消息丢包率，且部署开销小。
en-us	Compared with the existing methods, the upload control link load is reduced by 33% and packet loss rate of Packet-In massage is reduced by 50% , and the deployment overhead is little．

zh-cn	随着人们对卫星导航系统定位精度需求的不断提升，近年来伪距偏差问题越来越受到广泛关注。
en-us	With the increasing demands for higher positioning precision of global satellite navigation systems, pseud-orange biases have been receiving more and more attentions in recent years．

zh-cn	然而截至目前，国内外专家学者对北斗系统的伪距偏差问题研究甚少。
en-us	Unfortunately, few researches have been done on the pseudorange biases of Beidou navigation satellite system (BDS)．

zh-cn	本文首先深入分析了北斗系统的伪距偏差产生根源，在此基础上对伪距偏差随接收机参数设置变化的关系进行详细阐述。
en-us	The origin of BDS pseudorange biases are illustrated thoroughly in the beginning, and then based on which the dependency of biases on receiver configurations are studied．

zh-cn	然后基于昊平观测站的 40m 大口径天线采集的各颗北斗卫星下行信号数据，利用软件接收机遍历并分析了在不同接收机带宽、不同相关器间隔情况下，以及不同卫星仰角情况下北斗各颗卫星的 B1I 和 B3I 信号伪距偏差测量结果。
en-us	Our research used high-fidelity BDS satellite signal observations collected by a 40m high-gain dish antenna in Haoping Observatory, and used software receiver technology to achieve the pseudorange biases results of BDS B1I and B3I signals from different front-end bandwidths, different correlator spacings and different satellite elevations．

zh-cn	最后根据北斗伪距偏差的特点，首次给出了我国北斗接收机参数设置建议。
en-us	Finally, based on the characteristics of BDS pseudorange biases, the suggested settings of BDS receiver configurations such as front-end bandwidth and correlator spacing are clearly proposed for the first time．

zh-cn	研究结果表明:在一定的接收机参数设置范围内，本文提出的方法可以将北斗伪距偏差降低到 20cm 以内。
en-us	Research results show that the pseudorange biases of BDS signals will be less than approximately 20 cm under the condition proposed in this paper．

zh-cn	本文的研究成果不仅能够进一步促进广大专家学者对我国北斗伪距偏差的深入了解及广泛关注，同时还能促进我国 BDS (BeiDou Navigation Satellite System)及其他 GNSS(Global Navigation Satellite System)系统接口控制文件的进一步完善。
en-us	This study will contribute to a better understanding of and special attention to pseudorange biases, and will be a significant promotion to a clear definition of the appropriate receiver parameter settings in the ICDs for BDS and other individual satellite system．

zh-cn	针对交通推荐服务中推荐的出行方式单一、忽略用户出行偏好以及多分类任务中样本类别不平衡等问题，本文提出一种基于粒子群优化和 LightGBM 的情景感知多式联运推荐方法。
en-us	In order to solve the problems of considering only one transportation mode and neglecting user preferencein transportation recommendation problem, and class imbalance problem in multi-class task, a context-aware multi-modal transportation recommendation method based on particle swarm optimization and LightGBM is proposed．

zh-cn	该方法综合考虑用户在时间、空间以及出行成本上的出行偏好，利用数理统计和表示学习方法捕捉用户出行与各要素之间的内在关系。
en-us	This method comprehensively considers the user's travel preferences in terms of time, space and travel cost, and uses mathematical statistics and representation learning methods to capture the internal relationship between user travel and various elements．

zh-cn	同时，为了缓解样本类别不平衡带来的负面影响，利用基于粒子群优化算法的指标优化方法为每个类别搜索最优权重，对模型的预测结果进行修正，以实现最大化评价指标的目的。
en-us	At the same time, in order to alleviate the negative impact caused by the imbalance of sample class, the index optimization method basedon particle swarm optimization algorithm is used to search for the optimal weight for each class, and the prediction results ofthe model are modified to achieve the purpose of maximizing the evaluation index．

zh-cn	实验结果表明，与传统算法相比，本文提出的模型在时空特征提取、缓解类别不平衡和推荐准确性上均有较好的表现。
en-us	Experimental results show that compared with traditional algorithms, the model proposed in this paper has better performance in spatio-temporal feature extraction, alleviating class imbalance and recommendation accuracy．

zh-cn	本文针对时空数据流提出了一种基于时间窗口数据排序和批量装载的移动对象空间索引构建方法HSTＲCL。
en-us	In light of the characteristics of spatio-temporal data stream, we propose a moving object spatial index construction method called HSTＲCL, which is based on time window data sorting and bulk loading．

zh-cn	该方法用固定长度的时间窗口将连续的时空数据流进行切分，每当一个时间窗口完成数据缓存，采用优化的索引批量装载技术，从传统的构建流程中尽可能分离出耗时的数据划分和排序操作，将数据流的接收及其他构建操作并行执行，避免不必要的加锁同步开销，加快索引的构建效率;
en-us	It segments the continuous spatio-temporal data stream with fixed-length time windows; after finishing caching the data of a time window, by combining parallel processing and optimized bulk loading technology, we isolate as much as possible the time-consuming work of data partitioning and sorting operations from the traditional build process, and parallize them with the reception of data streams and other build operations. Furthermore, we avoid unnecessary locking synchronization overhead. And all these techniques improve the efficiency of index construction．

zh-cn	同时，采用基于 Hash 和 STＲ 的主、辅索引构建技术，满足高性能且多样化的查询需求．
en-us	In addition, to meet the performance and diverse query requirements, we also adopt the primary-auxiliary index construction technology based on Hash and STＲ．

zh-cn	另外，为进一步提高对象查询性能，引入聚合技术划分对象，提出了一种基于时间窗口对象聚合和批量装载的移动对象空间索引构建方法 OAHSTＲCL，对象查询时间约为 HSTＲCL 的 65% ，但对空间查询性能会有一定程度的影响。
en-us	To further improve the performance in the object query scenario, we invent another moving object spatial index construction method OAHSTＲCL via time window object aggregation and bulk loading, where objects are divided more finely, and the object query time required is about 65% of HSTＲCL, though it will affect the performance of spatial query to some extent．

zh-cn	通过理论分析和多种实验验证了所提方法的有效性。
en-us	Theoretical analysis and experiments have demonstrated the effectiveness of our proposed methods．

zh-cn	正确识别超声图像中的甲状旁腺结节对甲状旁腺功能亢进的诊断治疗非常重要。
en-us	It is very important to recognize parathyroid nodules correctly in ultrasound images for the treatment of hyperparathyroidism．

zh-cn	由于病人个体的差异性和超声图像的复杂性，采用图像的形态特征和纹理特征识别甲状旁腺结节准确率低。
en-us	Due to individual differences of patients and complexity of ultrasound images, parathyroid nodules can't be recognized accurately by only using morphological features and texture features．

zh-cn	本文提出利用包膜以及结节与甲状腺相对位置的先验知识特征描述方法，并将其与形态、纹理特征融合，采用支持向量数据描述(Support Vector DataDescription，SVDD)识别甲状旁腺结节。
en-us	In this paper, a prior knowledge feature description method is proposed on account of the characteristic of envelope and the relative location between the nodule and the thyroid． SVDD is applied to recognize parathyroid nodules based on the fusion features of prior knowledge features, morphological features and texture features．

zh-cn	实验结果表明，先验知识特征可以准确描述甲状旁腺结节的特征，融合先验知识特征比仅利用形态特征和纹理特征具有更高的识别准确率。
en-us	The experimental results show that the prior knowledge features can describe the characteristics of parathyroid nodules well, and the accuracy by using the fusion features which combined prior knowledge features is higher than that of only using morphological features and texture features for the recognition of parathyroid nodules．

zh-cn	车联网对于超高可靠与低时延通信(Ultra-Ｒeliable and Low Latency Communications，UＲLLC)具有严格的要求，特别对于车到基础设施(Vehicle to Infrastructure，V2I)场景，UＲLLC 对传输管理交通状况至关重要。
en-us	Internet of vehicles has strict requirements in Ultra-Ｒeliable and LowLatency Communications(UＲLLC). Especially in vehicle to infrastructure (V2I) scenario, UＲLLC is crucial to correctly transport and manage traffic conditions.

zh-cn	3GPP Cellular-V2X(C-V2X)作为现在支撑车联网 UＲLLC 主流的无线技术，仍存在技术挑战。
en-us	3GPP Cellular-V2X (C-V2X), as the current mainstream wireless technology supporting the UＲLLC, still has technical challenges．

zh-cn	为进一步提升通信性能，本文在V2I 场景下，基于车载终端、路侧单元(Ｒoad Side Unit，ＲSU)与边缘计算车联网服务器(Internet of Vehicles Server，IoVServer)的交互，设计了一种基于 C-V2I 规范的智能信道估计框架。
en-us	In order to further improve the communication performance, this paper designs an intelligent channel estimation framework based on C-V2I specification based on the interaction between vehicle terminal, road side unit (ＲSU) and edge computing Internet of Vehicles server (IoV Server) in V2I communication scenario.

zh-cn	在 IoV Server 中，本文提出了一种基于深度学习的信道估计算法，该算法利用一维卷积神经网络(One Dimensional Convolution Neural Network，1D CNN)完成频域插值和条件循环单元(Conditional Ｒecurrent Unit，CＲU)进行时域状态预测，通过引入额外的速度编码矢量和多径编码矢量跟踪环境的变化，对不同移动环境下的信道数据进行精确训练。
en-us	In IoV Server, this paper proposes a channel estimation algorithm based on deep learning, which uses one-dimensional convolutional neural network (1DCNN) to complete frequency-domain interpolation and conditional recurrent unit (CＲU) to predict the time-domain state. By introducing additional velocity coding vector and multipath coding vector, the channel data in different mobile environments are accurately trained．

zh-cn	最后通过系统仿真与分析表明，所提算法能够通过信道参数编码追踪不同高速移动环境下的信道变化，实现对信道数据的精确训练。
en-us	Finally, system simulation and analysis show that the proposed algorithm can track the channel changes in different high-speed mobile environments through channel parameter coding, and realize the accurate training of channel data.

zh-cn	与车联网代表性信道估计算法相比，所提算法提升了信道估计精度，降低了误码率和增强了鲁棒性。
en-us	Compared with the representative channel estimation algorithms in the IoV, the proposed algorithm improves the channel estimation accuracy, reduces the bit error rate and enhances the robustness．

zh-cn	自动驾驶车辆的普及是城市交通发展的重要趋势，然而以交通灯为代表的现有调度方案难以指导这些车辆高效通过十字路口。
en-us	Connected and automated vehicles (CAVs) will become the mainstream of urban traffic． However, the existing scheduling schemes, such as traffic lights, are difficult to guide CAVs to pass through intersections efficiently．

zh-cn	为此，本文设计了一种基于顺序选择的无交通灯十字路口调度方案以提高自动驾驶车辆通行效率。
en-us	In order to improve vehicle traffic efficiency, a scheduling scheme based on sequential selection is designed for intersections without traffic lights．

zh-cn	首先根据车辆的物理性能对其到达路口的最早时间点进行估算，然后在此基础上寻找车辆可行的计划到达时间点，最终根据计划到达时间为每辆车制定到达路口的行驶计划。
en-us	A feasible time for a vehicle to arrive at the intersection is planned according to its physical abilities and status of other CAVs．

zh-cn	在 SUMO(Simulation of Urban MObility)平台上进行的大量仿真实验验证了本文提出方案的有效性。
en-us	Extensive simulation experiments are conducted on the SUMO platform to verify the effectiveness of the proposed scheme．

zh-cn	从实验结果可以看出，本文所提出的方案使自动驾驶车辆在调度区平均行驶时间等指标上均优于对比方案;
en-us	From the experimental results, it is revealed that the proposed scheme improves the traffic efficiency at intersections, compared with other methods．

zh-cn	特别是在路口面临高压力车流时，本文所提出方案的优势更加明显。
en-us	Especially, when the traffic load is heavy, the performance gain of the proposed scheme is more obvious．

zh-cn	针对车载边缘计算环境中，边缘节点在为不同数据传输任务分配信道时产生的同信道干扰(Co-Chan-nel Interferences，CCI)问题，本文形式化定义了车载边缘计算信道分配问题，致力于为不同数据传输任务合理分配信道，最大化数据传输任务的完成率。
en-us	In vehicular edge computing environments, the Co-channel interferences (CCI) is a critical problem when edge nodes allocate channels for different data transmission tasks. This article formulates the problem of channel allocation in vehicular edge computing, aiming at allocating sub-channels for different data transmission tasks and maximizing the ratio of successful data transmission．

zh-cn	利用势博弈模型将全局优化的信道分配问题转化为边缘节点间的分布式信道分配博弈，并证明了信道分配博弈中纳什均衡的存在性。
en-us	We transform the global optimization problem of channel allocation into a channel allocation potential game, and prove the existence of nash equilibrium．

zh-cn	提出了基于激励的概率更新策略选择(Incentive-based Probability Update and Strategy Selection)算法，根据迭代中所选策略的激励值更新策略选择概率，并分析算法结果收敛至纳什均衡。
en-us	We propose an Incentive-based probability update and strategy selection algorithm, which updates the strategy selection probability according to the incentive value of the selected strategy in each iteration, and further analyzes the Nash equilibrium converge of the algorithm.

zh-cn	最后，通过仿真实验验证了本文算法的收敛性以及收敛结果纳什均衡的有效性，且在任务完成率及信道利用效率上优于现有代表性算法。
en-us	Finally, we verify the convergence of the proposed algorithm and the effectiveness of the Nash equilibrium. The experimental results show that the proposed algorithm outperforms existing representative algorithms in terms of the ratio of successful data transmission and channel utilization efficiency．

zh-cn	为建立更高效的智能车对车(Vehicle To Vehicle，V2V)通信系统，针对密集隧道空间多入多出系统(Multiple Input Multiple Output，MIMO)移动传播环境，提出新型三维(Three Dimensional，3D)车载多散射通信信道模型。
en-us	A three dimensional (3D) modified tunnel multi-bounced scattering channel model for vehicle to vehicle mobile communication is proposed under the assumption of equivalent scattering point. In this model, multi-antenna technology is adapted in both the mobile transmitter and receiver and there are line of sight (LOS) and non-LOS (NLOS) propagation paths between the transmitter and receiver．

zh-cn	分析波达信号水平面和仰角平面发射角(Angle Of Departure，AOD)和到达角(Angle Of Arrival，AOA)概率密度分布函数(Probability Density Function，PDF)。
en-us	Analytical expressions of the probability density function (PDF) of the angle-of-departure (AOD) and angle-of-arrival (AOA) are presented according to the 3D MIMO channel model．

zh-cn	与以往模型及测量对比，提出模型符合真实隧道环境中无线信道特性，拓展了 V2V 通信技术的研究。
en-us	Results show good agreement with the existing V2V scattering channel models and measured data in real tunnel environment, demonstrating the rationality of the underlying channel model．

zh-cn	利用深度学习方法来处理探地雷达(Ground Penetrating Ｒadar，GPＲ)数据以提高 GPＲ B-SCAN 双曲线检测准确率。
en-us	In order to improve the accuracy of GPＲ(ground penetrating radar) B-SCAN hyperbola detection, the deep learning method is applied to the processing of GPＲ data．

zh-cn	为了解决数据集样本不够的问题采用循环生成对抗网络 (Cycle Generative Adversarial Networks，Cy-cleGAN)算法对 GPＲ B-SCAN 图像数据进行增强。
en-us	In order to solve the problem of insufficient samples in the dataset, the GPＲ B-SCAN image data is augmented by using cycle generative adversarial networks algorithm (CycleGAN)．

zh-cn	采用 Faster Ｒ-CNN 算子来定位双曲线图像区域，充分利用双曲线结构对称性及其方向差异性特征，设计与之对应的卷积核模板，通过卷积运算实现对 B-SCAN 图像中双曲线目标的有效分割。
en-us	The Faster Ｒ-CNN operator is used to locate the hyperbolic image area, making full use of the symmetry of the hyperbolic structure and its directional difference characteristics, designing the corresponding convolution kernel template, and realize effective segmentation of hyperbolic targets in B-SCAN images through convolution operation．

zh-cn	对双曲线目标采用最小二乘法进行二次曲线拟合得到精确的双曲线图像。
en-us	The least square method is used to perform quadratic curve fitting on the hyperbolic target to obtain an accurate hyperbolic image．

zh-cn	与基于迁移学习的方法、HOG 算法以及基于 Hough 变换的 B-SCAN 检测算法等相比，本文方法得到的结果在综合指标度量 F 上是最优的。
en-us	Compared with B-SCAN im-age detection algorithms such as transfer learning-based methods, HOG (histogram of oriented gradients) algorithm and Hough transform algorithm, the results obtained by the method in this paper are optimal on the comprehensive measurement index F．

zh-cn	针对三维车载自组织网络中，高速移动的车辆节点和复杂多变的链路状态导致车辆间通信链路不稳定的问题，通过引入软件定义网络技术实时获取网络状态并预测其变化过程，构建时-空演化图模型，并定义链路效用指标量化无线链路性能，然后建立基于链路效用的加权时-空演化图模型，最后将路由问题转化为多属性决策问题，设计基于链路效用的可靠路由算法。
en-us	In the three-dimensional vehicular adhoc networks (3D-VANET), high-speed moving vehicle nodes and changeable link states lead to unstable inter-vehicle communication links. Aiming at this problem, the time-space evolution graph model is constructed by introducing software define network technology to obtain network state in real-time and predict the process of time change and the link utility index is defined to quantify the wireless link performance. Then the weighted time-space evolution graph model based on link utility is established. Finally, the routing decision-making problem is transformed into a multi-attribute decision-making problem, and a link utility based reliable routing (LUＲＲ)algorithm isdesigned．

zh-cn	仿真结果表明，相对现有四种路由算法，本文所提路由算法在数据包传输率、端到端时延和路由负载率方面，性能均有明显提升。
en-us	Simulation results show that, compared with the existing four routing protocols, LUＲＲ algorithm has significantly improved packet transmission rate, end-to-end delay and routing load rate．

zh-cn	在超密集异构无线网络中，针对传统垂直切换算法无法同时描述网络状态的模糊性和随机性，导致网络性能得不到有效提升的问题，提出一种基于区间二型模糊神经网络的垂直切换算法。
en-us	In the ultra-dense heterogeneous wireless network, the traditional vertical handoff algorithm can not describe the fuzziness and randomness of the network state at the same time, so the network performance can not be effectively improved. A vertical handoff algorithm based on the interval type II fuzzy neural network is proposed to solve above problem．

zh-cn	重构了两阶段判决算法:在网络预筛选阶段，定义了历史接入率，结合当前候选网络集的数目设置阈值。
en-us	A two-stage decision system is reconstructed: in the network's prescreening stage, the historical access rate is defined to set the threshold combine with the number of current candidate network sets．

zh-cn	根据接收信号强度和剩余可用带宽，对用户接收范围内的所有网络进行初步筛选;再在垂直切换判决阶段，将剩余候选网络的时延，丢包率以及误码率作为区间二型模糊神经网络的输入，利用前馈神经网络的结构完成模糊逻辑推理，经训练之后计算得到输出判决值，从而选择最佳接入网络。
en-us	According to the received signal strength and the remaining available bandwidth, all the networks within the user's receiving range are preliminarily screened; The delay, packet loss rate and bit error rate of the remaining candidate networks are taken as the inputs of the it2fnn in the vertical handoff decision stage. The fuzzy logic reasoning is completed by using the structure of the feed forward neural network, and the output decision value is calculated after the training, and the optimal network is selected．

zh-cn	实验结果表明，该算法能在保证时间开销较低的同时，有效降低切换决策的错误概率，减少切换失败和切换次数，提升网络总吞吐量。
en-us	The simulation results show that the algorithm can ensure low time consumption, and effectively reduce the error probability of handoff decision and the number of handoff failures and handoff times. Meanwhile, it can improve the total throughput of networks．

zh-cn	智能交通系统的产生和发展对车辆通信的介质访问控制(Medium Access Control，MAC)协议提出了更高的要求。
en-us	The emergence and development of intelligent transportation system (ITS) put forward higher requirements for the medium access control (MAC) protocol of vehicle communication．

zh-cn	被广泛使用的基于信道竞争的载波侦听多路访问(Carrier Sense Multiple Access，CSMA)协议存在不确定时延问题，基于时分多址(Time Division Multiple Access，TDMA)的 MAC 协议可以有效解决该问题。
en-us	The widely-used carrier sense multipleaccess (CSMA) protocol based on channel competition has the problem of uncertain time delay. MAC protocol based on time division multiple access (TDMA) can effectively solve this problem．

zh-cn	然而，TDMA 协议仍然存在数据传输碰撞。
en-us	However, TDMA protocols cannot eliminate data transmission collisions.

zh-cn	为了解决数据传输碰撞问题，本文提出一个结合雾计算的通信框架，在此基础上提出一种集中式 TDMA MAC 协议。该协议利用雾计算的低时延优势、计算和协同功能预测即将发生的数据传输碰撞，通过调度时隙以减少数据传输碰撞。
en-us	This paper propose a communication framework combining fog computing. And a centralized TDMA MAC protocol is proposed, which could predict upcoming data transmission collisions by taking advantage of the low-latency of fog computing. Then, time slots could be well scheduled to reduce data transmission collisions．

zh-cn	实验结果显示，该方法有效减少了数据传输碰撞，提高了信道资源利用率。
en-us	Experimental simulation results show that this method effectively reduces data transmission collisions, and improves channel resource utilization．

zh-cn	混沌及其同步已经成为研究的热点，随着分数阶混沌系统建模的需要，分数阶低阶混沌系统的同步控制已经取得了很多结果，国内外针对分数阶高维混沌系统的同步控制方面的研究还十分罕见，本文考虑了不确定因素和外部扰动的影响，利用自适应滑模方法研究高维不确定分数阶混沌系统的同步，基于同步控制理论给出了滑模函数的设计和控制器的构造，获得分数阶高维不确定混沌系统的自适应滑模同步的充分条件。
en-us	Chaos and its synchronization has become a hot topic. With the need of fractional-order chaotic system modeling, many results have been achieved in the synchronization control of fractional low-order chaotic systems. Studies on the synchronization control of fractional high-dimensional chaotic systems at home and abroad are still very rare. In this paper, the influence of uncertainties and external disturbances is considered. The self-adaptive sliding mode synchronization of high-dimension fractional-order chaotic systems is studied based on self-adaptive sliding mode methods. The sliding mode functions are funded and controllers are designed based on synchronization control theory. The sufficient conditions are obtained for high-dimension fractional-order uncertain chaotic systems getting self-adaptive sliding mode synchronization.

zh-cn	研究结论说明:设计恰当的滑模函数、控制器和适应规则条件下不确定分数阶高维混沌系统取得自适应滑模同步，并把分数阶的相关结论平推到了整数阶，用仿真例子对分数阶高维混沌系统取得滑模同步充分条件的正确性进行了验证。
en-us	The conclusion demonstrate that high-dimension fractional-order uncertain chaotic systems can get self-adaptive sliding mode synchronization under appropriate sliding mode functions, controllers and adaptive rules. And we extend the conclusions of fractional-order high-dimension uncertain chaotic system to integer-order. The sufficient conditions for fractional-order high-dimension chaotic systems getting sliding mode synchronization are verified to be correct using numerical simulation examples．

zh-cn	案件罪名认定是司法业务的重要环节，尚缺乏有效的智能辅助工具和手段。
en-us	Conviction in judicial cases is an important part of judicial business, but there is still a lack of effective intelligent auxiliary tools and methods．

zh-cn	针对案件定罪的难点问题，提出一种结合张量分解和双向 LSTM(Long Short-Term Memory)神经网络的案件定罪方法。
en-us	Aiming at the difficult problem of conviction in judicial cases, a method combining tensor decomposition and Bi-LSTM neural network is proposed．

zh-cn	该方法将案件数据表示为张量，并在张量分解过程中引入模板张量。
en-us	This method represents the case data as a tensor and introduces a template tensor in the tensor decomposition process．

zh-cn	模板张量可以在双向 LSTM 神经网络分类模型的训练过程不断的被优化，使得分解后的核心张量包含更加有效的张量结构和特征信息，有助于提高后续分类模型的准确性，实现案件罪名的精准认定。
en-us	The template tensor can be continuously optimized during the training process of Bi-LSTM neural network classification model, so that the decomposed core tensor contains more effective tensor structure and feature information, which is helpful to improve the accuracy of the subsequent classification model and realize the accurate conviction in judicial cases．

zh-cn	实验结果表明:所提出的基于张量分解和双向 LSTM 的司法案件定罪方法比现有方法具有更好的准确性。
en-us	The experimental results show that the proposed method for conviction in judicial cases based on tensor decomposition and Bi-LSTM has better accuracy than the existing methods．

zh-cn	针对卷积神经网络中卷积运算复杂度高、计算量大及算法在 CPU 和 GPU 上计算时存在延时及功耗限制问题，从提高现有硬件平台计算速率、降低功耗角度出发，设计了一种基于 ZYNQ 的具有高吞吐率和低功耗的可重构神经网络加速系统。
en-us	Aiming at the problems of high complexity of convolution operation, large amount of calculation and the limitation of delay and power consumption when the algorithm is calculated on the CPU and GPU in the convolutional neural network,from the perspective of increasing the calculation rate and reducing power consumption of existing hardware platforms, a reconfigurable neural network acceleration system with high throughput and low power consumption based on ZYNQ is presented.

zh-cn	为充分利用运算资源，探索了一种卷积运算循环优化电路;
en-us	In order to make full use of computing resources, a convolution operation loop optimization circuit is explored;

zh-cn	为降低带宽访问量，设计了一种数据在内存中的特殊排列方式。
en-us	in order to reduce the bandwidth access, a special arrangement of the data in memory is designed．

zh-cn	以 VGG16 网络为例，利用 ZYNQ 对系统进行加速，在计算性能上达到 62. 00GPOS 的有效算力，分别是 GPU 和 CPU 的 2. 58 倍和 6. 88 倍，其 MAC 利用率高达 98. 20% ，逼近 Roofline 模型理论值。
en-us	Taking the VGG16 network as an example, using ZYNQ to accelerate the system, 62. 00 GPOS effective computing power was reached, which was 2. 58 times and 6. 88 times that of the GPU and CPU respectively. Its MAC utilization rate was as high as 98.20% , which was close to the theoretical value of the Roofline model.

zh-cn	加速器的计算功耗为 2.0W，能效比为 31. 00 GOPS/W，是 GPU 的 112. 77 倍和 CPU 的 334. 41 倍。
en-us	The computing power consumption of the accelerator was 2.0W, and the energy efficiency ratio was 31. 00 GOPS /W, which was 112. 77 times that of the GPU and 334. 41 times that of the CPU．

zh-cn	针对图像序列病态区域匹配歧义性以及稠密视差图连通性的问题，本文提出一种基于特征级联卷积神经网络的双目立体匹配计算方法。
en-us	In order to overcome the ambiguity of ill-posed regions matching while enhancing the connectivity of dense disparity map, this paper proposes a binocular stereo matching method based on feature cascade convolutional neural network．

zh-cn	构造特征重用的全卷积密集块，利用“跳连接”机制将浅层提取的特征图级联到后续子层，对深层卷积丢失的局部特征信息进行补偿。
en-us	We constructed a fully convolutional densely block with feature reuse to utilize the "skip-connection" mechanism to transmit the feature maps extracted from the previous layers to all subsequent layers, and compensated the local feature information of deep convolution losing．

zh-cn	引入指示函数划分一定大小的训练集，将其批量输入特征级联卷积网络模型进行前向传播，同时通过小批量梯度下降(Mini-Batch Gradient Descent ，MBGD)策略更新初始权重和偏置参数。
en-us	At the forward propagation stage, we designed an indicator function to divide a certain size of the training set as the input of the feature cascade convolutional network model, and applied the Mini-Batch Gradient Descent (MBGD) strategy to update the initial weight and bias parameters.

zh-cn	根据负连接神经元对网络模型的输出进行初始匹配代价计算，并利用十字交叉域代价聚合(Cross Based CostAggregation ，CBCA)和半全局立体匹配(Semi-Global Matching ，SGM)等算法对代价函数进行优化，求得精准稠密的视差图。
en-us	We computed the initial matching cost according to the output of the presented network model, and used the Cross Based Cost Aggregation (CBCA) and Semi-Global Matching (SGM) pipeline to optimize the cost function for generating the accurate and dense disparity map．

zh-cn	分别采用 Middlebury 数据库提供的训练和测试立体图像集对本文方法和深度学习方法 MC-CNN、CBMV、MC-CNN-WS 等具有代表性方法进行对比测试。
en-us	We used the published training and test sets of Middlebury database to evaluate our approach and other representative stereo matching methods, such as MC-CNN, CBMV and MC-CNN-WS．

zh-cn	实验结果表明，本文方法具有较高的视差计算精度和鲁棒性，尤其对复杂场景、光照变化以及弱纹理等困难场景图像序列能有效提高匹配率和保持图像细节。
en-us	The experimental results prove that the proposed method has higher accuracy and better robustness of disparity estimation, and especially improves the matching rate and preserves image details in the regions of complex scene, illumination change and weakly textured．

zh-cn	针对多链路故障，本文提出一种基于光路可靠性和频谱整合因子感知的空分复用弹性光网络中虚拟光网络生存性映射算法。
en-us	Aiming at the multi-link failure scenario, a survivable embedding based on lightpath reliability and spectrum integration factor-aware (SE-LRSIF) algorithm is proposed for virtual optical networks in space-division multiplexingelastic optical networks．

zh-cn	在虚拟节点映射时，综合考虑物理节点属性的权重评估准则。
en-us	During virtual node embedding, a weight evaluation criterion is designed to comprehensively consider the attributes of physical nodes．

zh-cn	在虚拟链路映射时，本文设计联合考虑频谱资源和可靠性的工作光路选择策略和基于频谱整合因子感知的工作光路频谱分区分配方法，并设计提高保护带宽共享度的保护光路选择策略。
en-us	During virtual link embedding, a working lightpath selection strategy that jointly considers spectrum resources and reliability is designed, and a working lightpath spectrum partition allocation method based on spectrum integration factor-aware is designed to make network spectrum resources more integrated. Moreover, a protection light-path selection strategy is designed to increase the protection bandwidth sharing．

zh-cn	仿真结果显示，本文算法提高了虚拟光网络请求接受率，降低了带宽阻塞率。
en-us	The simulation results show that the proposed SE-LRSIF algorithm can significantly improve the acceptance ratio of virtual optical network requests and reduce the band-width blocking probability．

zh-cn	空间目标监视必须要解决的关键核心问题之一是对目标运动轨迹进行快速、准确地预报，然而空间目标运动轨迹准确预报需要高精度的预报初值点作为前提，对空间目标数据进行滤波处理可以降低随机误差的影响提高数据精度，但还很难达到空间目标高精度轨迹预报的要求。
en-us	The key problem that must be solved in space target monitoring is fast and accurate prediction of target trajectory. The target's trajectory accurate prediction needs high precision initial value as the premise. Although filtering the target data can reduce the influence of random error and improve the accuracy of data, it is difficult to meet the requirements of high-precision trajectory prediction of space targets.

zh-cn	为此，论文从空间目标运动特性出发，利用空间目标动力学方程对状态方程进行实时约束，建立了基于动力学模型约束的空间目标精确跟踪算法，该算法由目标动力学模型实时估计目标加速度，通过将空间目标加速度约束的非线性函数线性化，利用空间目标加速度对状态的实时修正和协方差反馈循环来提高目标跟踪精度，进而获得更高精度的轨迹预报初值点数据。
en-us	In order or solve this problem, space targets precise tracking algorithm based on dynamic model is proposed, which makes full use of the motion characteristics of space target and establishes the state equation constrained by dynamic model. This algorithm can estimate the real time acceleration of space target by target dynamic model, and the acceleration constrained nonlinear function is turned into approximate linear function, by which the real-time estimation of acceleration and covariance feedback are used to improve the tracking accuracy of space targets. Then, the initial data of trajectory prediction with high accuracy can be obtained．

zh-cn	为改善单相全桥逆变器的效率，提出了一种新型高效率单相全桥零电流开关谐振极逆变器拓扑结构。
en-us	In order to improve the efficiency of single-phase full-bridge inverter, a topology of high efficiency single-phase full-bridge zero-current switching resonant pole inverter is proposed．

zh-cn	在桥臂上的辅助谐振电路参与换流的过程中，逆变器的开关器件可实现零电流软关断。
en-us	When the auxiliary resonant circuit on the bridgearm works in commutation process of the inverter, the switching devices of the inverter can realize zero-current turn-off．

zh-cn	当开关器件为绝缘栅双极型晶体管(Insulated Gate Bipolar Transistor，IGBT)时，IGBT 实现零电流软关断可使其拖尾电流导致的关断损耗等于零，有利于改善以 IGBT 作为开关器件的单相全桥逆变器的效率。
en-us	When the switching device is insulated gate bipolar transistor (Insulated Gate Bipolar Transistor, IGBT), zero-current turn-off of IGBT can make the turn-off loss caused by trailing current be equal to zero, which is beneficial to improving the efficiency of single-phase full-bridge inverter with IGBT as switching devices．

zh-cn	分析了电路工作流程。
en-us	The working process of the circuit is studied．

zh-cn	实验结果显示出开关器件完成了零电流软切换动作。
en-us	The experimental results show that the switching devices realize zero-current soft-switching．

zh-cn	因此，对于研发以 IGBT 作为开关器件的高效率单相全桥逆变器，该拓扑结构具有一定的参考价值。
en-us	Therefore, the topology has certain reference value for the research and development of high efficiency single-phase full-bridge inverter with IGBT as switching device．

zh-cn	针对对称差分解析能量算子在高幅值振动干扰频率影响下性能较差的不足，在对称差分解析能量算子的基础上提出了一种改进的解析能量算子。
en-us	Considering that the inadequacy of the inferior performance of the symmetric difference analytic energy op-erator (SD-AEO) technique in the presence of vibration interferences with higher amplitudes, an improved analytic energy operator (AEO) based on SD-AEO is proposed in this work．

zh-cn	该能量算子改用高阶对称差分序列替代对称差分序列以达到提高信号干扰比的目的，从而提高在高幅值振动干扰频率存在下提取故障特征的能力。
en-us	This proposed energy measure takes advantage of the higher-order symmetric difference to substitute the symmetric difference for the sake of boosting the signal-to-interference ratio(SIR), which can enhance the ability to detect the weak fault signal in the presence of vibration interferences with larger magnitude．

zh-cn	此外，为了防止能量出现负值，该改进的能量算子采用了绝对值对其能量表达式进行加权处理。
en-us	Furthermore, the energy transformation of this proposed energy operator is weighted by absolute value to prevent the negative values in the transformed signal．

zh-cn	通过模拟实验证明了该方法在抗噪和抗振动干扰方面的优越性，及其它的非负特性。
en-us	Under the simulated tests, the superiority of the immunity to intensive noise and interferences as well as the non-negative property is demonstrated．

zh-cn	最后将其应用于真实轴承故障数据，发现该方法可以在恶劣工况下提取出故障特征频率。
en-us	Finally, the proposed energy detector is applied to the real-world data measured from the defective bearings, and it is found that this proposed fault detection tool can successfully identify the weak fault signatures under a severe working condition．

zh-cn	乐谱图像的自动分割、倾斜校正是乐谱识别过程中的关键技术，各种计算机光学乐谱识别技术在乐谱图像的数字化中有着广泛的应用，但对于乐谱中简谱的识别一直鲜有研究。
en-us	Automatic segmentation and tilt correction of music images are key techniques in music recognition. Various computer optical music score recognition technologies have been widely used in the digitization of music score images, but there has been little research on the recognition of numbered musical notation．

zh-cn	本文针对人工拍摄条件下光照不理想的简谱图像，提出一种基于 PCNN(脉冲耦合神经网络)和 DNN(深度神经网络)相结合的分块简谱图像自动分割算法，该方法根据简谱图像灰度分布特征对图像进行自适应分块处理，依据每个分块的灰度特征与 PCNN 最佳迭代次数之间的关系构造合适的 DNN 神经网络，从而实现了最优分割图的自适应选取;
en-us	In this paper, an automatic image segmentation algorithm based on PCNN (Pulse Coupled Neural Networks) and DNN (Deep Neural Networks) is proposed to solve the problem of a variety of lighting conditions. The image is processed by adaptive block processing according to the gray scale distribution of the spectral image and analyze the relationship between the gray scale characteristics of each block and the optimal PCNN iteration time, construct an appropriate DNN neural network to realize the adaptive selection of optimal segmentation graph.

zh-cn	进一步利用最优分割图像中音符小节线的水平投影，提出一种双尺度下降法实现了简谱图像的倾斜校正;
en-us	Further using the horizontal projection of bar lines, we propose a dual-scale descent method to realize the skew correction of numbered musical notation image．

zh-cn	提出去边垂直投影法和连通域距离判断法实现了简谱图像中音符及歌词的提取。
en-us	We propose an edgeless vertical projection method and connected domain distance judgment method to extract the note and lyrics from numbered musical notation image．

zh-cn	实验仿真结果表明:本文算法对复杂光照条件下的简谱图像处理都具有较好的鲁棒性，同时表现出更高的效率。
en-us	Simulation experiments show that the proposed algorithm exibits better robustness for numbered musical notation image under complex illumination conditions and faster speed．

zh-cn	针对单阈值-非极大值抑制算法中出现的目标漏检和重复检测问题，本文提出了一种使用全局交并比指标 GIoU(Generalized Intersection over Union)衡量目标相似度的双阈值非极大值抑制算法 GDT-NMS(Generalized DualThreshold NMS，GDT-NMS)。
en-us	Aiming at the problem of missed detection and repeated detection in the single-threshold-non-maximum suppression algorithm, this paper proposes a dual-threshold Non-Maximum Suppression algorithm using GIoU (Generalized Intersection over Union).

zh-cn	使用双阈值改进 NMS 算法和 soft-NMS 算法，抑制多余的检测框;
en-us	Using dual thresholds to improve the NMS algorithm and the soft-NMS algorithm, suppressing redundant detection boxes．

zh-cn	在此基础上，使用 GIoU替换传统的 IoU 计算目标间的相似度，使目标的定位更加准确;
en-us	Based on the above, using GIoU instead of IoU to calculate the similarity between objects，so that the positioning of the object is more accurate;

zh-cn	进一步，使用非线性函数赋予检测框不同比例的权值惩罚，使检测框的得分随距离呈非线性变化，目标区分度更高。
en-us	the non-linear function is used to give different weights to the proposal boxes, which makes the proposal boxes' scores change non-linearly with distance, and the target discrimination is higher, which is more conducive to suppressing the proposal boxes．

zh-cn	改进算法在 PASCAL VOC 和 MSCOCO 上的检测精度分别为 74. 8% 和 25. 9%。
en-us	The detection accuracy of the improved algorithm on PASCAL VOC and MSCOCO is 74.8% and 25.9% , respectively.

zh-cn	同时本文算法具有较快的检测速度。
en-us	At the same time, the algorithm in this paper has a fast detection speed．

zh-cn	当前基于深度学习的胰腺分割主要存在以下问题:(1)胰腺的解剖特异性导致深度网络模型容易受到复杂多变背景的干扰;
en-us	Current deep learning-based pancreas segmentation mainly has the following problems: The anatomical specificity of the pancreas makes the deep network model easily disturbed by complex background;

zh-cn	(2)传统两阶段分割方法在粗分割阶段将整张 CT 图像作为输入，导致依赖粗分割结果得到的定位不够准确;
en-us	in the traditional two-stagesegmentation method, the input of the coarse segmentation is the entire CT image, which leads to inaccurate localization based on the segmentation results;

zh-cn	(3)传统两阶段分割方法忽略了切片间的上下文信息，限制了定位和后续分割结果的提升。
en-us	the traditional two-stage segmentation ignores the context information between adjacent slices, which limits the localization and subsequent segmentation results．

zh-cn	针对上述问题，本文提出了结合切片上下文信息的多阶段胰腺定位与分割方法。
en-us	In order to solve the problems above, a multi-stage pancreas localization and segmentation method combined with slices context information is proposed．

zh-cn	第一阶段利用解剖先验定位粗略缩小输入区域;
en-us	In the first stage, anatomical prior locating is used to roughly shrink the input area;

zh-cn	第二阶段先使用所设计的 DASU-Net 进行粗略分割，接着利用切片上下文信息优化分割结果;
en-us	in the second stage, the proposed DASU-Net is used for coarse segmentation, and then the segmentation results are optimized with slices context information;

zh-cn	第三阶段使用单张切片定位进一步减少不相关背景，并使用 DASU-Net 完成精细分割。
en-us	last stage, single slice locating is used to further shrink irrelevant background, and then fine segmentation is completed by DASU-Net．

zh-cn	实验结果表明，本文所提方法能够有效提高胰腺分割的准确率。
en-us	The experimental results show that the proposed method can effectively improve the accuracy of pancreas segmentation．

zh-cn	针对基于深度神经网络模型的显著性检测方法中存在的模型训练困难、模型参数量大以及检测速度慢等问题，本文提出了一种融合小型深度生成模型的显著性检测方法。
en-us	Aiming at the difficulties of model training, large amount of model parameters, and slow detection speed in the saliency detection method based on deep neural network models, this paper proposes a saliency detection method that integrates small deep generative models．

zh-cn	方法以生成对抗网络为框架，设计了包含 11 个卷积模块和 5 个池化层的鉴别器网络以及不包含池化层，仅包含 15 个卷积模块和 5 个转置卷积模块的小型生成器网络。
en-us	The method uses the generative adversarial network as the framework, designs a discriminator network consisting of 11 convolution modules and 5 pool layers, as well as a small generator network that does not contain the pool layer, including only 15 convolution modules and 5 transposed convolution modules．

zh-cn	其中，小型生成器网络大小仅 2。 4M，参数量仅 67 万左右。
en-us	Among them, the size of the small generator network is only 2. 4M, and the amount of parameters is only about 670，000.

zh-cn	将训练好的小型生成器用于显著性检测，并与 LMB(融合背景块再选取过程的显著性检测)算法通过设计的融合算法进行融合，从而得到最终结果。
en-us	A trained small generator is used for saliency detection and fused with the LMB (Salient object detection based on background block reselection method) algorithm through the designed fusion algorithm to get the final result.

zh-cn	通过大量的实验对比分析表明，提出的方法在 F 值和 MAE(Mean Absolute Error)值上均取得大幅提升。
en-us	A large number of experiments and comparative analysis show that the proposed method has achieved significant improvements in both F value and MAE (Mean Absolute Error) value．

zh-cn	缺陷数据分析正成为软件工程领域的热点，现有缺陷分析技术无法有效处理复杂和冗余的缺陷数据，以高效地辅助缺陷修复工作。
en-us	Bug data analysis is becoming a hotspot in the software engineering domain. The accumulation of bug knowledge requires redefinition of a new search method to effectively process complex and redundant bug data to efficiently assist bug fixing．

zh-cn	本文提出一种多特征匹配搜索算法———MMSBK (Multi-feature Matching Search Algorithmfor Bug Knowledge)。
en-us	This paper proposes a multi-feature matching search algorithm for bug knowledge (MMSBK)．

zh-cn	首先对缺陷问题进行分析，抽取其包含的缺陷实体及关系;
en-us	First, we analyze the bug question and extract the bug entities and relations.

zh-cn	然后，基于实体和关系匹配将缺陷问题与缺陷知识图谱关联，通过知识图谱的关联性和可视化帮助软件开发搜索缺陷知识;
en-us	Then, based on bug entity and relation matching,the bug question is associated with the bug knowledge graph.

zh-cn	最后，基于匹配算法生成的缺陷关系三元组生成搜索结果子图。
en-us	Finally, the search sub-graph is generated based on the bug triples generated by the matching algorithm．

zh-cn	实验验证了 MMSBK 算法的有效性。
en-us	The experiment shows the effectiveness of MMSBK．

zh-cn	借助交替方向乘子法(Alternating Direction Method of Multipliers，ADMM)，将多变量正则化最小二乘拟合问题，分解为多个可并行执行的标量优化问题，并引入可调步长因子加速算法，得到一个高度并行的最大分划广义ADMM 算法，并应用于正则化超限学习机。
en-us	By virtue of the alternating direction method of multipliers (ADMM ), the multivariate regularized least-squares model fitting problem is decomposed into multiple univariate subproblems that are solvable in parallel. By introducing a tunable step size to accelerate the algorithm, a highly parallel maximally split generalized ADMM (MS-GADMM) is developed for the regularized extreme learning machine (RELM)．

zh-cn	建立了算法的收敛条件，分析了算法的计算复杂度，通过基准现实数据集实验与新近文献方法———最大分划松弛 ADMM 进行了收敛率比较。
en-us	The convergence condition of the MS-GADMM is established and the computational complexity of the MS-GADMM-based RELM is analyzed. Through experiments on real-world benchmark datasets, the MS-GADMM is compared with a maximally split relaxed ADMM recently presented in the literature．

zh-cn	在 GPU 并行加速实验中，基于最大分划广义ADMM 的正则化超限学习机获得的大 GPU 加速比，表明了该算法的高度并行性。
en-us	In the GPU implementation experiments, the MS-GADMM has obtained very large GPU acceleration ratios, which demonstrates the high parallelism of the proposed MS-GADMM-based RELM．

zh-cn	基于语音的手机来源识别是近年来多媒体取证领域中的一个研究热点，但已有研究大都局限于纯净语音或人工背景噪声语音。
en-us	Identifying cell-phones using recorded speech has become a hot topic in the field of multimedia forensics inrecent years. However, most of the existing studies focus on the clean speech or the speech with unnaturally artificial noise．

zh-cn	本文以自然环境背景噪声下的手机语音为研究对象，提出一种基于低维深度特征的手机来源识别方法。
en-us	In this paper, the speech with background noise is taken into account and a source cell-phone identification method is presented on the basis of the low-dimensional deep features．

zh-cn	首先提取对数域的 Mel 滤波器组系数作为基本的声学特征，然后输入到时间卷积网络中进行训练，进一步提取能够表征语音设备的深度特征，并利用线性判别分析进行降维，去除高维深度特征中的冗余。
en-us	First, the logarithmic Mel-filter bank coefficients are extracted as the main acoustic features and input to the temporal convolutional network for training and further extracting the deep features of speech devices. Then, the linear discriminant analysis is used to reduce the size of the high-dimensional deep features and remove the redundancy.

zh-cn	最后，将得到的低维深度特征输入到支持向量机中进行分类和识别。
en-us	Finally, the low-dimensional deep features are used as input to the support vector machine classifier．

zh-cn	在 47 种不同型号手机录制的 37600 条自然环境背景噪声语音样本库上的测试结果表明，本文所提方法在自然环境背景噪声下具有更优的识别性能，且对不同品牌、相同品牌不同型号、不同样本长度、不同数据集规模和不同采样率都具有很好的适应性。
en-us	The experimental results on 47 models of mobile phones and 37600 speech samples with background noise show that the proposed method has better recognition performance and better adaptability to different brands, different models of the same brand, different sampling lengths, different sizes of the dataset, and different sampling rates．

zh-cn	新一代增强平面栅软穿通型(Soft Punch Through + ，SPT + )IGBT 采用了阴极侧载流子浓度增强技术，降低了通态损耗。
en-us	The new generation enhanced planar gate soft through (Soft Punch Through + , SPT + ) IGBT adopts the cathode-side carrier concentration enhancement technology, which reduces the on-state loss．

zh-cn	现有仿真模型大多是基于典型穿通型(Punch Through，PT)IGBT 建立的，无法准确描述 SPT + 型 IG-BT 的通态特性。
en-us	The existing simulation models are mostly based on typical punch through (PT) IGBTs, which cannot accurately describe the on-state characteristics of SPT + IGBT．

zh-cn	本文在现有 PT 模型的基础上，结合 SPT + 型 IGBT 的结构特点和工作特性，将基区分为 PIN 区和 PNP区两个部分，对阴极侧载流子分布进行优化，提出一种改进的 SPT + 型 IGBT 稳态模型。
en-us	Based on the existing PT model and combining the structural and operating characteristics of SPT + IGBTs, this paper divides the base region into two parts, PIN and PNP regions, and optimizes the cathode-side carrier distribution. An improved steady state model for SPT + IGBT is proposed．

zh-cn	通过新旧模型的仿真波形与实测波形的对比，验证了改进模型的准确性。
en-us	The accuracy of the improved model is verified by comparing the simulated and measured waveforms of the old and new models．

zh-cn	随着信息体系对抗强度的升级，网络空间已演变为由各类信息平台及控制网络互联而成的复杂网电环境，所面临的安全威胁日趋复杂。
en-us	With the upgrade of the information system confrontation, the cyberspace has developed to a complicated network electricity environment, composed of kinds of interconnected information platforms and control networks. Its security threats has been more complicated．

zh-cn	作为网络空间安全的基石，各类密码算法实现不可避免地受到由环境引入或攻击者恶意施加的故障扰动影响，进而引发密码安全性问题。
en-us	As the security base of the cyberspace, the fault disturbance to the implementation of the cipher, caused by the environment and the malicious attacker, can not be avoided, so the security problem of the cipher will be induced．

zh-cn	本文以电压毛刺故障扰动手段为基础，对分组密码算法实现的故障产生机理及安全扰动机制进行了分析和研究;
en-us	In this paper, based on the voltage glitch fault injection, the fault generation and the security disturbance mechanism of the block cipher chip, is analyzed．

zh-cn	构建了用于刻画密码电路故障传播概率性波动模型;
en-us	The fluctuant model, used for characterizing the fault propagation probability of the cipherchip, is constructed．

zh-cn	结合不可区分性理论、活动字节传播概率的统计分布技术，提出了能够充分反映故障扰动场景下分组密码实际安全特性的度量框架。
en-us	Applying the indistinguishable theory, and the statistical distribution of the propagation probability to the active bytes, the metric model of the actual physical security for the block cipher chip, is proposed．

zh-cn	实验表明，该度量框架能够充分反映实际故障概率传播特性与攻击者区分优势之间的关联性，并对分组密码实现在遭受故障攻击下的安全性实施客观分析。
en-us	It is experimented that, the relevance, between the actual fault propagation probability and the distinguish advantage, can be reflected by the model, so the security of the block cipher, in the scene of the fault attack, can be analyzed objectively．

zh-cn	针对现有机载电子设备剩余寿命自适应预测方法在新研小样本条件下，未能综合考虑设备隐含退化建模与漂移系数在线更新的问题，本文提出一种基于期望最大-扩展卡尔曼滤波(Expectation Maximization-Extended Kal-man Filter，EM-EKF)与隐含比例退化模型的机载电子设备剩余寿命自适应预测方法。
en-us	Aiming at the problem that the existing adaptive prediction methods of remaining useful lifetime (ＲUL) for the airborne electronic equipment fail to comprehensively consider the hidden degradation modeling and online drift coefficient supdating in the condition of newly researched and small sample, an adaptive prediction method for the airborne electronic equipment's ＲUL based on the EM-EKF algorithm and hidden degradation model with proportion relationship is proposed．

zh-cn	首先，基于非线性 Wiener 过程构建带比例关系的设备隐含退化模型;
en-us	Firstly, based on the nonlinear Wiener process, a hidden degradation model with the proportion relationship is constructed．

zh-cn	其次，在引入漂移系数更新机制的基础上建立设备退化状态方程，并采用 EKF 算法同步更新设备退化状态与漂移系数;
en-us	Next, the degradation state equation of the equipment is established based on the drift coefficient update mechanism, and the EKF algorithm is used to update the degradation status and drift coefficient．

zh-cn	然后，采用 EM-EKF 算法实现对退化模型参数的自适应估计;
en-us	And then, the EM-EKF algorithm is used to adaptively estimate the parameters of the degradation model．

zh-cn	最后，基于全概率公式，推导出设备剩余寿命的概率密度函数。
en-us	Finally, based on the full probability formula, the probability density function (PDF) of ＲUL is derived．

zh-cn	通过对单台微机械陀螺仪实测数据进行分析，验证了本文所提方法具有更好的模型拟合性与预测准确性。
en-us	By analyzing the measured data of a single micromechanical gyroscope, it is verified that the proposed method has better model fitting and prediction accuracy．

zh-cn	以 x86 + GPU 为代表的当前主流 AI 计算平台，受限于功耗、体积、带宽、环境适应性等因素，无法适用于物端及边缘智能计算场景。
en-us	The existing artificial intelligent (AI) computing platform represented by x86 + GPU，limited by power consumption, dimension, bandwidth, environmental adaptability, and other factors, cannot be well adapted to the things and edge intelligent computing scenarios．

zh-cn	提出并研究了一种基于 AＲM + DLP + SＲIO 的嵌入式智能计算系统，从 AI 算力、能效比、IO 带宽三个方面分析了所提嵌入式智能计算系统的设计思路和技术优势，并实验验证了该系统的功能及性能指标。
en-us	We proposed an embedded AI computing system based on AＲM (Advanced ＲISC Machine)+ DLP (Deep Learning Processor)+ SＲIO (Serial ＲapidIO), and elaborated the design methods and technical advantages． In study, three aspects of the system were dissertated: AI computing performance, power efficiency, and IO bandwidth, and the function and performance of the system were verified by experiments．

zh-cn	实验结果表明：基 于 AＲM + DLP + SＲIO 的 嵌 入 式 智 能 计 算 系 统 AI 峰 值 算 力 达 到 114. 9TOPS，能 效 比 达 到1. 03TFLOPS/W，IO 带宽达到 20Gbps。
en-us	The results show that the peak performance of the embedded AI computing system based on AＲM + DLP + SＲIO is up to 114. 9TOPS, the energy efficiency is up to1. 03TFLOPS/W, and the IO bandwidth is up to 20Gbps．

zh-cn	在智能计算系统领域，其能效比优于国内其它已知同类板卡或系统，嵌入式环境适应能力优于传统台式机和服务器，可作为物端及边缘环境下 AI 计算任务的通用硬件加速平台。
en-us	In the field of AI computing systems, its energy efficiency is better than other similar boards or systems in China, and its embedded environmental adaptability is better than that of traditional desktops and servers, so it can provide a general hardware acceleration platform for AI computing tasks in things and edge computing scenarios．

zh-cn	WiNoC(Wireless Network-on-Chip)中的无线路由器面临着比传统片上路由器更加严峻的拥塞问题，平衡有线/无线链路负载是当前无线片上网络的研究热点之一。
en-us	Wireless routers in wireless network on chip confronts more severe congestion problem，so balancing wired/wireless loading has become research focus in WiNoC recently．

zh-cn	为此本文提出并设计了一种基于优先级的交叉开关仲裁方案 PbSA(Priority based Switch allocator)，其将优先级更高的无线数据包优先路由至无线路由器;结合 PbSA 提出了拥塞感知的路由算法 CAＲA(Congestion-Aware Ｒouting Algorithm)，该算法有效平衡有线 /无线链路负载且避免死锁，提高了数据包在网络中的路由效率。
en-us	We propose a priority-based switch arbitration scheme, in which data packets more suitable for transmission through wireless channels are routed to wireless routers; We propose a CAＲA (Con-gestion-Aware Ｒouting Algorithm) combined with PbSA, which efficiently balance wired/wireless loading and simultaneously avoid deadlock, improving data routing efficiency.

zh-cn	此外，本文还提出了新颖的虚通道划分方法，它不仅减少了实现 PbSA 的硬件复杂度，而且缓解了无线路由器发生拥塞时对整个网络的影响。
en-us	Besides, we propose a new virtual channel partition method, which decreases hardware complex for implementing PbSA, and mitigates the adverse effect caused by wireless router congestion.

zh-cn	实验表明，虽然本文的方案引入了较小的面积和功耗开销，但是具有良好的流量自适应特性，从而在低注入率或高注入率的情况下较好的提升了网络性能。
en-us	Evaluation shows that the scheme we proposed achieve fine data flow adaptivity with small area and energy overhead, so to improve network performance and routing efficiency under low or high injection rate．

zh-cn	传统的勒索软件动态检测方法需要收集较长时间的软件行为，难以满足勒索软件及时检测的需求。
en-us	Traditional ransomware dynamic detection methods need to collect software behaviors for a long time, which is difficult to meet the need for timely detection of ransomware.

zh-cn	本文从勒索软件及时检测的角度出发，提出了“勒索软件检测关键时间段(Critical Time Periods for Ｒansomware Detection，CTP)”的概念，并基于 CTP 的要求提出了一种基于应用程序编程接口(Application Programming Interface，API)短序列的勒索软件早期检测方法(Ｒansomware Early Detection Method based on short API Sequence，ＲEDMS)。
en-us	From the perspective of the timely detection of ransomware, this article proposes a concept named  "Critical Time Periods for Ｒansomware Detection (CTP)"，and proposes an early ransomware detection method based on short application programming interface (API) sequence (REDMS) to fit the requirement of CTP．

zh-cn	REDMS 以软件在CTP 内执行时所调用的 API 短序列为分析对象，通过 n-gram 模型和词频-逆文档频率算法对采集到的 API 短序列进行计算以生成特征向量，然后运用机器学习算法建立检测模型对勒索软件进行早期检测。
en-us	ＲEDMS takes the short API sequences that are obtained by software running during the CTP as the analysis object, and calculates these short API sequences through the n-gram model and the term frequency-inverse document frequency algorithm to generate the feature vectors, and then uses a machine-learning algorithm to build a detection model for detecting ransomware．

zh-cn	实验结果显示，ＲEDMS 在 API采集时段为前 7s 且使用随机森林算法时，分别能以 98。 2% 、96。 7% 的准确率检测出已知和未知的勒索软件样本。
en-us	The experimental results show that when the first 7 seconds of API collection period and random forest algorithm are used, REDMS achieves 98.2% and 96.7% accuracy respectively for detecting the known and unknown ransomware samples．

zh-cn	为满足实际应用对窄带信号高精度微分及微分系统低常延迟的需求，本文提出平坦低延迟有限冲激响应数字微分器的优化设计算法，在平坦性和相位误差约束下对最大幅值逼近误差进行最小化。
en-us	To satisfy the requirement on high-precision differentiation of narrow-band signals and low delay of the differentiator, this paper presents a design method for low-delay finite impulse response flat digital differentiators. The method minimizes the maximum magnitude error subject to flatness and phase-error constraints on the differentiator．

zh-cn	利用线性方程通解表达式来消除平坦约束，确保了微分器的平坦度要求。
en-us	By eliminating the flatness constraint with the general solution of linear equations, we ensure that the differentiator has desired flatness degrees．

zh-cn	利用群延迟误差对相位误差重加权，降低了微分器的通带群延迟误差。
en-us	By reweighting the phase error with group-delay error, the method reduces the passband group-delay error of the differentiator．

zh-cn	设计例子及与文献方法的比较，展现了本文方法的有效性和优越性。
en-us	Design examples and comparisons with literature methods show the effectiveness and superiority of the proposed method．

zh-cn	当目标领域缺少足够多的标注数据时，迁移学习利用相关源领域的标注数据，辅助提升目标域的学习性能，但是目标域与源域的数据通常不满足独立同分布，容易导致“负迁移”问题。
en-us	With enough labeled data lacking in the target domain, it works well for transfer learning to use the labeled data of the related source domain and help improve the learning performance of the target domain. However, the data of these two domains usually do not satisfy the independently identically distribution, which easily leads to the problem of "negative transfer"．

zh-cn	本文在有监督主题模型(SupervisedLDA，SLDA)的基础上，融合迁移学习方法提出一种共享主题知识的迁移主题模型(Transfer SLDA，Tr-SLDA)，提出 Tr-SLDA-Gibbs 主题采样新方法，在类别标签的约束下对不同领域文档中的词采取不同的采样策略，且无需指定主题个数。
en-us	Tr-SLDA (Transfer SLDA), a transfer topic model based on supervised topic model (Supervised LDA, SLDA) is proposed, which shares topic knowledge by integrating transfer learning. A Tr-SLDA-Gibbs sampling method is proposed, under the constraints of category labels, different sampling strategies are adopted for words in the documents of different domains without specifying the number of topics．

zh-cn	辅助源域与目标域共享潜在主题空间，Tr-SLDA 通过发现潜在共享主题与不同领域类别之间的语义关联从源域迁移知识，可以有效解决“负迁移”问题。
en-us	The source domain and target domain share the potential topic space, Tr-SLDA can effectively solve the problem of "negative transfer" by discovering the semantic correlation between the potential shared topics and categories of different domains．

zh-cn	基于 Tr-SLDA 迁移主题模型提出 Tr-SLDA-TC(Tr-SLDA Text Categorization)文本分类方法。
en-us	The Tr-SLDA-TC (Tr-SLDA-Text Categorization) text classification method is proposed based on the Tr-SLDA model．

zh-cn	对比实验表明，该方法可有效利用源域知识来提高目标领域的分类性能。
en-us	The comprehensive experiments show that the proposed method can effectively improve the performance of the classification by utilizing the knowledge from the source domain．

zh-cn	场景图像分割一直是机器视觉学习中较为复杂的重难点问题。
en-us	Scene segmentation has always been a key and complicated problem in machine learning．

zh-cn	本文在机器视觉注意力机制学习方法的基础上，融合人类对事物个体的认知，提出场景对象的 Focus + Context 语义表征，将对象类别信息带入图像底层特征学习中，运用概率统计理论，在抽象层上建模局部区域对象，再联合上下文语义信息推理全局与局部区域对象之间的关系，以实现类内焦点对象(Focus)突出的场景语义分割。
en-us	In order to understand the scene and recognize the objects more accurately, this paper adopts human attention mechanism, takes the category semantic information into consideration and merges it into the image feature learning. The Focus + Context semantic representation is proposed, where the context describes the relationship between the focus and different objects in the scene, and the focus shared among the same category are composed of similar clusters. The probabilistic topic model is used to compute the local features as well as their semantic information.

zh-cn	实验验证，基于 Focus + Context 的语义表征和建模能够增加对象的识别率，尤其是在小样本环境下，所提出的方法能极大地简化场景的理解。
en-us	The experimental results show that the Focus + Context method increases the recognition rate of the scene objects, and specially, the proposed method, in a local and global understanding way, can simplify the scene recognition greatly under a small sample size．

zh-cn	针对现有移频干扰对抗方法，分析得出基于回波匹配输出中心频率鉴别干扰适用范围有限、调频斜率捷变 LFM(Slope Varying LFM，SV-LFM)波形能够一定程度抑制干扰，但需设计合理捷变方式的结论。
en-us	By studying the existing methods for countering frequency-shift jamming, this paper comes to the conclusion that the applicability of jamming discrimination method based on echo matching output center-frequency is limited and slope varying LFM(SV-LFM), a radar transmitting waveform, can suppress the jamming to some extent, if the agile way is designed reasonable．

zh-cn	同时，以 LFM 脉冲多普勒雷达抗自卫式移频干扰为背景，提出联合相参积累和二维分数阶傅里叶变换(Two Dimensional FractionalFourier Transform，2D-FＲFT)干扰鉴别方法，根据回波信号在两种处理方式下的峰值差异，对比门限鉴别目标真伪。
en-us	Meanwhile, a jamming discrimination method jointing coherent integration and two dimensional fractional Fourier transform (2D-FＲFT) is proposed on the background of LFM pulse Doppler radar countering self-screening frequency-shift jamming. According to the peak value difference of echo signal under the two processing modes, true and false targets are identified by comparing with a setting threshold．

zh-cn	仿真结果表明分析结论正确，所提方法可行有效。
en-us	Simulation results show that the conclusion is correct and the proposed method works effectively．

zh-cn	随着移动目标防御技术研究的不断深入，移动目标防御策略选取问题成为当前研究的热点问题之一，本文提出一种基于多阶段 Markov 信号博弈模型的移动目标防御最优策略选取方法。
en-us	With the development of the research on moving target defense (MTD) technique, how to effectively select the optimal strategy of moving target defense has become an urgent issue in the current research. To solve this problem, we propose a MTD optimal strategy selection method based on multi-stage Markov signaling game model．

zh-cn	首先，结合攻防实际，提出实施攻击所需构建的攻击链模型。
en-us	Firstly, combined with the actual attack-defense process, we construct an attack chain model that attackers need to build to carry out the attack．

zh-cn	其次，在考虑状态随机跳变的基础上，将多阶段信号博弈模型与 Markov 决策过程相结合，构建基于多阶段 Markov 信号博弈的移动目标防御模型。
en-us	Secondly, due to the random jump between states, we combine multi-stage signaling with markov decision process (MDP) to construct the corresponding MTD model．

zh-cn	同时，引入 Logistic 映射刻画攻防博弈系统中可能造成概率更新过程失真的随机干扰因素。
en-us	Meanwhile, we adopt Logistic mapping to characterize the stochastic interference factors that may cause the distortion of the probability updating in the attack-defense process．

zh-cn	在形式化建模的基础上，设计折扣收益目标函数，并提出均衡求解算法，给出最优防御策略选取算法。
en-us	Additionally, on the basis of formally modeling, we design an objective function with discounted total payoff. Besides, we give a solution method for multi-stage signaling game equilibrium and design an optimal defense strategy selection algorithm for MTD．

zh-cn	最后，通过仿真实验验证模型和方法的有效性。
en-us	Finally, the simulation demonstrates the effectiveness and feasibility of the proposed model and method．

zh-cn	为解决云计算环境下工作流多目标难于优化的问题，本文提出了一种花朵差分授粉工作流多目标调度优化算法。
en-us	In order to solve the problem that the multi-objective workflow scheduling is difficult to optimize in the cloud computing environment， this paper proposes a differential flower pollination algorithm for the multi-objective workflow scheduling．

zh-cn	该算法将工作流中任务和虚拟机建模成花粉，将完整的调度序列建模成花朵。
en-us	The algorithm models the tasks and virtual machines in the workflow into pollen and models the complete scheduling sequence into flowers．

zh-cn	依据任务的偏序关系进行离散花朵授粉过程。
en-us	Then it adopts a discrete flower pollination process according to the partial order relationship of the task．

zh-cn	仿真结果表明较算法 NSGA-II 和 MEOA/D，该算法能在限定的截止期和预算的条件下具有更高的资源利用率。
en-us	The simulation results show that compared with the algorithms NSGA-II and MEOA/D, the algorithm can have higher resource utilization under the limited deadline and budget．

zh-cn	为了克服无人机在传输数据过程中能量消耗较大的问题，本文首先根据实际场景建立了无人机的传输能量消耗模型，其次利用离散线性状态空间近似和线性化技术对该模型进行近似处理，最后提出了基于凹凸过程(ConCave-Convex Procedure，CCCP)的迭代算法。
en-us	In order to overcome the large consumption problem of unmanned aerial vehicle (UAV) in the process of data transmission, we first establish the model of transmission energy consumption of UAV, and the model is treated approximately by applying the technology of discrete linear state-space approximation and linearization. Finally, we proposed a CCCP (Con-Cave-Convex Procedure) based algorithm.

zh-cn	数值仿真结果表明，提出的算法收敛迅速并能达到较好的效果。
en-us	The numerical simulation results show that the proposed algorithm can quickly converge and can achieve excellent results．

zh-cn	基于迭代优化的传统视频压缩感知重构算法运行时间长，参数的自适应性较低，限制了其实用性和泛化能力。
en-us	The traditional iterative optimized based video compression sensing algorithms are limited by long running time and low adaptability of parameters, resulting in low practicability and generalization．

zh-cn	利用神经网络强大的计算能力和运行速度快、参数可学习的优点，本文首先提出了帧间组稀疏网络(VGSＲ-Net)，用神经网络将图像块组映射到更高维的稀疏表示域中，并利用可学习的阈值提取帧间相关特征。
en-us	Taking advantage of the powerful computing power, fast speed and learnable parameters of neural networks, this paper first proposes a group sparse representation network (VGSＲ-Net), which maps the image block group to a higher-dimensional sparse domain through convolution, and uses a learnable threshold to denoise and extract inter-frame correlation．

zh-cn	在此基础上，提出了两阶段混合递归增强重构网络(2sＲEＲ-VGSＲ-Net)。
en-us	On this basis, a two-stage recursive enhance reconstruction network (2sＲEＲ-VGSＲ-Net) is proposed．

zh-cn	首先，利用 VGSＲ-Net 对初始重构结果进行初步增强;然后，引入 STMC-Net 实现运动估计，并利用残差重构网络进一步重构当前帧丢失的信息，得到更高质量的重构结果。
en-us	First, we perform VGSＲ-Net to preliminarily enhance the initial reconstruction and then introduce STMC-Net as motion estimation, and the compensated frames are fed into the residual reconstruction network to further extract the missing detail and enhance the current frame．

zh-cn	在第二阶段重构过程中采用混合递归结构，充分利用已有的高质量重构帧信息。
en-us	The second stage of reconstruction adopts a hybrid recursive structure with the aim of making full use of the existing better quality reconstructed frames.

zh-cn	仿真结果表明，所提算法与现有最优迭代优化重构算法 SSIM-InterF-GSＲ相比重构性能提升了 1.99dB;和基于深度学习的重构网络 CSVideoNet 相比，性能提升了 4.60dB。
en-us	The simulation results show that the proposed algorithm improves the PSNＲ(Peak Signal to Noise Ｒatio) by 1.99dB compared with the existing state-of-art traditional compressed video sensing reconstruction algorithms SSIM-InterF-GSＲ, while improves the PSNＲ by 4.60dB with the comparation of the network-based algorithm CSVideoNet．

zh-cn	不确定性分析是量化不确定性从而获得统计特性的过程。
en-us	This paper proposes an improved intrusive generalized polynomial chaos expansion (gPCE) method for uncertainty quantification (UQ) in ground penetrating radar (GPＲ) modeling．

zh-cn	在数值模拟中，均值、标准差等统计特性是评价数值仿真结果是否合理的重要依据。
en-us	The uncertainty in simulation results induced by the uncertain parameters of dispersive and lossy soil is quantified with the auxiliary differential equation (ADE) finite-difference time-domain (FDTD) method combined with gPCE．

zh-cn	该方法结合辅助微分方程时域有限差分法与广义多项式混沌展开方法，对色散有损土壤模型的不确定参数所引起的仿真输出结果的不确定性进行量化表征，从而得到输出结果的不确定度。
en-us	To avoid the curse of dimensionality in modeling complex systems, the combination of uncertainties is incorporated into the new method to evaluate the interval of the uncertainty of the output.

zh-cn	与传统不确定性分析方法蒙特卡洛方法相比，该方法计算效率更高，显著降低计算成本。
en-us	The results from the new method are compared against traditional UQ method Monte Carlo method (MCM). The new method shows its considerable advantage in the computational expense and speed．

zh-cn	投影仪向绘制有同心圆阵列的标定板投射彩色同心圆，利用同心圆投影满足的几何约束确定圆心图像坐标，计算标定平面、投影平面和相机成像平面之间的单应，实现系统标定。
en-us	A calibration method is proposed for active vision systems. Projector projects colored concentric circles to a calibration plane, on which an array of concentric circles is printed． The centers of the circles in image frame are identified with geometry constraints, with which the homographies between the calibration plane, image plane and projector plane are estimated.

zh-cn	利用颜色信息分离投影同心圆和标定板标记图像，简化标定步骤减少图像采集数量;
en-us	The method uses color information to separate the image of projected circles and that of the circle patterns on calibration plane, which reduces the number of required images and simplifies the calibration procedure.

zh-cn	同时通过交比不变性实现同心圆自动匹配，避免人工干预。
en-us	To avoid manual intervention, cross-ratio invariance is used to match concentric circles automatically．

zh-cn	实验结果证明算法简单高效。
en-us	Experimental results prove that the algorithm is simple and efficient．

zh-cn	现有的分选算法均或多或少地存在对复杂调制信号难以分选、分选正确率低、对低重频信号分选效果差以及实时性差等问题。
en-us	The existing deinterleaving algorithms have some problems such as difficulty in sorting complex modulation signals, high false alarm or false dismissal rate, poor performance on low repetition frequency signals, and poor real-time performance．

zh-cn	本文针对以上问题，提出了一种基于多站时差和多参数信息联合的单脉冲信号实时分选方法。
en-us	In order to solve the above problems, this paper proposes a real-time single pulse signal sorting method based onmultistations time difference of arrival (TDOA) and multi-parameters information．

zh-cn	该方法首先引入时差窗，对多站接收到的脉冲信号进行粗配对，分别得到多个可能与主站单脉冲正确配对的“脉冲对”序列;然后，利用脉内多参数信息对“脉冲对”进行精确匹配，获得真实配对的“脉冲对”，进而计算“脉冲对”对应的时差并得到“时差对”序列;
en-us	Firstly, the time difference window is introduced to make rough pairing of pulse signals received by multi-stations to obtain multiple "pulse pair" sequences which maybe correctly paired. Then, the "pulse pair" is accurately matched by intra-pulse parameters to obtain the true "pulse pair" . Then, the time difference corresponding to the "pulse pair" is calculated and the "time difference pair" sequences are obtained．

zh-cn	最后，在误差容限内，依据时差的不变性，实现对单脉冲信号的实时分选。
en-us	Finally, within the error tolerance, according to the invariance of time difference, the single pulse signal is sorted in real-time．

zh-cn	仿真结果表明，与现有算法相比，该算法能够对复杂脉间和脉内调制信号、超低重频信号甚至单脉冲信号进行有效分选，具有较高的分选正确率和较好的分选实时性。
en-us	The simulation results show that compared with the existing algorithms, the algorithm can effectively sort complex inter-pulse or intra-pulse modulated signals and low repetitive frequency signals, with extremely low false alarm, false dismissal rateand high correct sorting rate. At the same time, it is real-time．

zh-cn	双基地雷达观测下，锥体目标的微动特征可以由顶部局部型散射中心，底面边缘滑动型散射中心和侧面滑动型散射中心的微多普勒来表述。
en-us	In the bistatic configuration, the micro-motion features can be represented by three types of scattering centers, the localized scattering center located at the target tip, and the two types of sliding scattering centers sliding along the target bottom edge and on the target side face．

zh-cn	首先，本文建立了三种类型双基地散射中心的微多普勒统一参数化模型;
en-us	The micro-Doppler of three types of scattering centers is firstly represented by a unified parametric model．

zh-cn	然后，提出滑动系数概念，即采用参数化模型两个参数的比值来定量评价散射中心的滑动特性，从而判别锥体目标上散射中心的类型;
en-us	Then, the sliding coefficient is defined by two parameters of the parametric model, and it is applied to discriminate scattering center types．

zh-cn	最后，通过电磁仿真验证了该参数化模型的准确性以及散射中心类型判别方法的可靠性，对锥体目标识别具有重要意义。
en-us	At last, electromagnetic simulation results demonstrate that the micro-Doppler parametric model is precise, and the presented sliding coefficient is a reliable feature to recognize the cone-shaped targets．

zh-cn	为充分利用数据中心网络的多路径带宽，现有研究多采用基于链路感知的负载均衡算法，在动态获取全局链路拥塞信息后选取最优路径对流量进行转发。
en-us	In order to fully utilize the bandwidth of multi-paths of the data center network (DCN), the existing studies mostly adopt the congestion-aware load-balancing scheme, which forwards traffic along the optimal path after dynamically obtaining global congestion information．

zh-cn	然而这些研究未考虑数据中心网络流量大小分布不均匀的特性，难以在选路成本和转发效率上取得平衡。
en-us	However, these works do not consider the non-uniform distribution of flow size and are difficult to strike a balance between the routing cost and the forwarding efficiency．

zh-cn	为此，设计一种基于流分类的数据中心网络负载均衡机制(ULFC，Utilization-aware Load balancing based on Flow Classification)，在实现拥塞感知的基础上进行流量特征分析，采用不同的策略为大、小流分配路径，实现网络流量特征与选路方法优势的最佳匹配。
en-us	This paper proposes ULFC, a utilization-awareload-balancing mechanism based on flow classification. By analyzing the characteristics of traffic, ULFC classifies the flows based on their sizes and assigns paths to them using different strategies, realizing the best matching between the characteristics of traffic and the advantages of the routing method.

zh-cn	实验结果表明，相比于现有方案，ULFC 的平均流处理效率提高了 1. 3 倍至 1. 6 倍，路由成本降低了 50% 以上。
en-us	We evaluate ULFC with simulation and the results show that it outperforms the existing schemes in average flow-completion time (1.3 ～ 1.6 × )，while the routing cost has been reduced by more than 50% ．

zh-cn	针对传统多目标优化算法在求解 Pareto 解集时存在全局搜索能力与局部寻优能力无法得到有效平衡的问题，提出了一种基于多邻居结构的自适应元胞差分算法。
en-us	To solve the problem that the global search ability and local search ability of traditional multi-objective evolutionary algorithm cannot be effectively balanced when solving the Pareto solution set, an adaptive cellular differential evolutionary algorithm based on multi-neighborhood structure is proposed．

zh-cn	该算法在保留传统元胞差分算法进化特点的基础上，使用更加丰富的多邻居结构替换原有的单一邻居结构，并且依据相应元胞个体的性能优劣来对其邻居结构进行选择分配。
en-us	Based on the characteristics of the traditional cellular differential evolutionary algorithm, the improved algorithm uses a richer multi-neighbor structure to replace the original single neighbor structure, and the neighbor structure is adjusted reasonably according to the performance of the corresponding individual．

zh-cn	同时，面对进化过程中的复杂性能需求，算法定义了一种周期性变化的变异策略来实现不同进化阶段的自适应调节。
en-us	At the sametime, in the face of the complex requirements in the whole evolution process，the algorithm defines a mutation strategy with periodic variation to realize the adaptive adjustment in different evolution stages．

zh-cn	最后，利用 DTLZ 系列测试函数对算法性能进行测试，并通过与四种经典的多目标优化算法相比较，证明了改进后的算法拥有更好的收敛性与分布性。
en-us	Finally, the DTLZ series of test functions are used to test the performance of the algorithm. Compared with four classical multi-objective optimization algorithms, it is proved that the improved algorithm has better convergence performance and diversity of solution set．

zh-cn	利用到达角(Angel Of Arrival，AOA)进行目标定位是被动监测领域广泛采用的技术之一。
en-us	Angle of arrival based positioning technology is commonly used in the field of passive surveillance．

zh-cn	然而，在多基站多目标环境中，通常难以直接获得 AOA 量测数据间的关联关系，因此需要在目标定位前进行有效的量测数据关联。
en-us	However, in a multisensor-multitarget situation, it is difficult to determine the association between measurements directly, and an effective data association is required before target positioning．

zh-cn	本文针对 AOA 量测数据的关联问题，提出了一种基于多向次序关联的 AOA 量测数据关联方法。
en-us	Aiming to solve the problem, this paper presents a new data association approach of angel of arrival (AOA) based on multidirection-ordered association．

zh-cn	该方法首先构建了一种用于描述数据间关联程度的代价函数，并利用雅克比方法估计误差分量的方差。
en-us	Firstly, the approach designs a cost function to describe the possibility of association between measurements, and uses the Jacobian to estimate the variance of components of error vector．

zh-cn	其次结合分配算法和寻优思想，分别计算局部关联方向和基站的关联次序，最终得到关联结果。
en-us	Secondly, to compute the association results, the assignment and optimization ideas are used to compute the directions of partial association and the order of association between sensors, respectively．

zh-cn	实验验证了本文方法对密集目标和随机目标量测数据关联的有效性。
en-us	The simulation results show that the approach is effective for the association of measurements of intensive targets and random targets．

zh-cn	在众包学习中，使用标记集成算法得到的集成标记中仍然存在一定程度的标记噪声。
en-us	In crowdsourcing learning, a certain level of label noise still exists in integrated labels obtained by employing ground truth inference algorithms．

zh-cn	本文受三重训练思想的启发，提出了一种基于 tri-training 的众包标记噪声纠正算法(Tri-Training-based Label Noise Correction，TTLNC)。
en-us	Inspired by the tri-training idea, this paper proposes a tri-training-based label noise correction (TTLNC) algorithm for crowdsourcing.

zh-cn	TTLNC 首先使用过滤器获得干净集和噪声集，然后在干净集上进行 bagging 分别训练三个不同的分类器，并通过这些分类器重新标注噪声集中的实例，同时按照实例分配策略将实例分配给相应的训练集。
en-us	TTLNC at first employs a filter to get a clean set and a noisy set and then trainsthree different classifiers from the bagged clean set. Furthermore, each instance from the noisy set is relabeled by these classifiers and assigned to the corresponding training set according to the designed instance assignment strategy．

zh-cn	最后在新训练集上重新训练三个不同的分类器，并用新分类器的分类结果重新标注所有实例。
en-us	Finally, three classifiers are retrained on three new training sets and are used to relabel all instances．

zh-cn	在仿真标准数据和真实众包数据集上的实验结果表明TTLNC 比其他四种最先进的噪声纠正算法在噪声比和模型质量两个度量指标上表现更优。
en-us	Experimental results on both simulated benchmark data and realworld crowdsourced data show that TTLNC significantly outperforms other four state-of-the-art noise correction algorithms in team of the noise ratio and the model quality．

zh-cn	针对小型移动机器人对人体目标快速运动或遮挡导致的跟踪准确率降低甚至跟踪失败问题，通过建立足部运动模型预测双脚位置信息，获得核相关滤波(KCF，Kernel Correlation Filter)目标检测区域，再结合输出响应峰值邻域相关检测，提出了运动模型引导的自适应核相关滤波算法。
en-us	Aiming at the problem of low tracking accuracy and even tracking failure caused by fast motion or occlusion of human targets by small mobile robots, a foot motion model was established to predict the position informationof feet, and the target detection region of kernel correlation filter (KCF) was obtained. A motion model guided adaptive kernel correlation filtering algorithm is proposed by combining with the output response peak neighborhood correlation detection．

zh-cn	对实际拍摄的七组不同情况下的视频进行了足部目标跟踪实验，结果表明运动模型引导的自适应响应 KCF 算法平均跟踪准确率最高，且在短时间遮挡情况下的算法跟踪准确率也达到 86% ，明显高于自适应响应 KCF、BACF(Background Aware Correlation Filters)以及 SAMF(Scale Adaptive kernel cor-relation filters with Multiple Features)三种跟踪算法。
en-us	Foot tracking experiments were carried out on seven groups of videos under different scenarios. The results show that the average tracking accuracy of the adaptive response KCF algorithm guided by the motion model is the highest, and the tracking precision rate of the algorithm reaches 86% in the case of shortterm occlusion, which is significantly higher than that of the adaptive response KCF, BACF and SAMF algorithm．

zh-cn	最后在 ＲOS(Ｒobot Operating System)下将所提算法应用于 Turtlebot机器人目标跟踪测试，成功克服了遮挡情况对足部跟踪带来的影响，验证了所提算法具有较强的鲁棒性和实时性。
en-us	Finally, the proposed algorithmis applied to the target tracking test of a Turtlebot robot under the ＲOS (Ｒobot Operating System), which successfully overcomes the influence of occlusion on feet tracking, and verifies that the proposed algorithm has strong robustness and real-time performance．

zh-cn	针对传统降水粒子分类算法存在的过度依赖专家经验和模型预设误差问题，本文提出了一种基于离散属性贝叶斯网络(Bayesian NeTwork，BNT)的双偏振气象雷达降水粒子分类(Hydrometeor Classification，HC)方法。
en-us	The over-reliance on expert experience and model preset errors in traditional precipitation particle classification algorithms are discussed. This paper proposes a dual-polarization hydrometeor classification (HC) method based on discrete attribute Bayesian NeTwork (BNT)．

zh-cn	首先对双偏振气象雷达获取的偏振参量取值进行离散化处理生成离散化标准，并根据离散化标准制作训练数据集合;
en-us	Firstly, the value of polarization parameters obtained by the dual-polarization meteorological radar is discretized to generate a discretization standard, and the training data set is made according to the discretization standard．

zh-cn	然后使用训练数据集合对贝叶斯网络进行结构学习学得贝叶斯网络结构，以及参数学习学得与贝叶斯网络结构匹配的条件概率表;
en-us	Then the training data set is used to learn the structure of the Bayesian network and the conditional probability table matching the structure of the Bayesian network.

zh-cn	最后加入附加信息计算出每种降水粒子类先验概率，与贝叶斯网络结构和条件概率表共同组成贝叶斯网络分类器。
en-us	At last, additional information is added to calculate the prior probability of each precipitation particle class, and the Bayesian network classifier is composed of Bayesian network structure and conditional probability table．

zh-cn	训练好的贝叶斯网络分类器根据最大后验概率准则完成对测试数据的降水粒子分类，与模糊逻辑算法对比评价结果。
en-us	The trained Bayesian network classifier classifies the precipitation particles according to the maximum posterior probability criterion and compares the evaluation results with the fuzzy logic algorithm．

zh-cn	实验证明:该方法能有效区分不同的降水粒子得到准确的降水粒子分类结果。
en-us	Experiments show that this method can effectively distinguish different precipitation particles．

zh-cn	针对传统多目标威胁评估方法通常是二支决策，只能得到目标威胁排序，需要主观地划定威胁等级与选择作战目标数，不适应于复杂动态任务环境的问题，提出直觉模糊信息下基于 VIKOＲ 和三支决策的多目标威胁评估方法。
en-us	The traditional multi-target threat assessment methods are usually two-way decisions，can only obtain thethreat ranking of targets，and need to subjectively determine the threat level and select the number of combat targets，which isnot suitable for the complex dynamic mission environment. This paper proposes a multi-target threat assessment method based on VIKOＲ and three-way decisions under intuitionistic fuzzy information.

zh-cn	首先，对动态直觉模糊威胁评估信息进行集结并求取属性权重;
en-us	Firstly, the dynamic intuitionistic fuzzy threat information is aggregated and attribute weights are obtained．

zh-cn	然后，通过 VIKOＲ 方法求取目标决策所需的条件概率;
en-us	Then, the conditional probability of targets for decision making is obtained by VIKOＲ method．

zh-cn	最后，通过评估信息构造各属性下目标的损失函数矩阵，集结得到目标的综合损失函数矩阵，计算综合阈值，得到决策规则。
en-us	Finally, the loss function matrices of targets under each attribute are constructed by attribute information, the comprehensive loss function matrix is obtained after aggregation and the comprehensive thresholds and decision rules are obtained．

zh-cn	算例分析表明，所提方法能够有效地处理动态不确定目标态势信息，将传统方法的二支排序结果转变为三支分类结果;可以依据目标态势信息客观地选取作战目标。
en-us	The case studies show that the proposed method can effectively deal with the dynamic uncertain situation information, transform the ranking results of two-way decisions into classification results of three-way decisions, and can objectively select the combat targets via situation information．

zh-cn	软件定义网络作为未来网络架构的发展方向，通过分离数据平面与控制平面高效设定路由方案。
en-us	As the development direction of future network architectures, Software Defined Networks can efficiently setrouting schemes by separating the data plane and the control plane．

zh-cn	而在路由方案的优化过程中，准确预估给定路由方案下的网络性能是其关键。
en-us	In the process of optimizing a routing scheme, it is the key to accurately predict the network performance under a given routing scheme．

zh-cn	本文基于图神经网络建模网络中物理链路与路由方案路径的关系，在给定的路由方案与网络流量下对网络中的各项端到端性能指标(如延迟、抖动)进行准确预估，以辅助优化路由方案。
en-us	This paper uses graph neural networks to model the relationship between physical links and routing scheme paths, so that the model can predict various end-to-end performance indicators (such as delay and jitter) in the network under a given routing scheme and network traffic．

zh-cn	本文基于 OMNeT + + 来生成数据并进行实验，实验结果表明本文提出的模型能够针对延迟抖动等端到端性能指标进行准确预估，预估平均相对误差不超过 4. 1% 。
en-us	This paper uses OMNeT+ + to generate datasets. The experimental results show that the model proposed in this paper can accurately predict end-to-end performance indicators such as delay and jitter. The average relative error of the estimate does not exceed 4. 1%.

zh-cn	实验也对比了传统最短路径路由算法与基于该预测模型给出的最优路由方案下的端到端性能，相比传统最短路径路由算法，平均延迟和平均抖动分别降低了19. 8% 和 33. 52% ，最大延迟和最大抖动降低了 36. 18% 和 35. 45% 。
en-us	The experiment also compares the end-to-end performance of the traditional shortest path routing algorithm with the optimal routing scheme based on the prediction model proposed in this paper. Compared to the traditional shortest path routing algorithm, the average delay and average jitter are reduced by 19. 8% and 33. 52% , and the maximum delay and maximum jitter are reducedby 36. 18% and 35. 45% ．

zh-cn	针对长短时记忆神经网络(Long Short-Term Memory，LSTM)模型计算开销大、冗余计算较多的问题，本文提出一种利用输入数据稀疏性的 LSTM 加速器设计方案。
en-us	Aiming at the problem of high computational overhead and redundancy in LSTM model，this paper proposed a design method of LSTM accelerator based on data sparsity．

zh-cn	本方案基于 Delta 网络算法，对输入序列的稀疏性进行构建，在避免数据不规则加载的前提下，对冗余矩阵向量乘法运算进行过滤;
en-us	This scheme uses Delta network algorithm to mine the sparsity of input data, and filters the multiplication of redundant matrix vectors without irregular loading of data.

zh-cn	针对矩阵向量乘法计算模式进行建模，寻找最高效的并行阵列计算架构设计。
en-us	The calculation mode of matrix-vector multiplication is modeled to find the most efficient parallel array computing architecture design scheme．

zh-cn	在 MNIST 标准数据集上的实验表明，当 Delta 网络算法的过滤门限不超过 0. 5 时，LSTM 神经网络算法检测准确率不变，计算性能提高了 21. 53 倍。
en-us	The experimental results on MINIST dataset show that when the filter threshold of Delta network algorithm is less than 0. 5, the detection accuracy of LSTM neural network algorithm remains unchanged, and the computational performanceis improved by 21. 53 times．

zh-cn	针对现有基于校验关系的 Turbo 码交织器识别算法在低信噪比(Signal-to-Noise Ｒatio，SNＲ)时适应性较弱以及识别过程中容易出现差错传播的问题，为了进一步提升交织识别的容错性与实时性，在基于最大序列相关识别算法的基础上加入迭代译码和小范围遍历两种纠错算法，更加充分的利用了接收数据的同时增强了抗误码能力。
en-us	The existing algorithms based on parity-check relationship in the recognition of interleaver for Turbo codeshave weak adaptability at low signal-to-noise ratio (SNＲ)and are prone to "error propagation" in the recognition process. In order to further improve the fault tolerance and real time of interleaving recognition, we propose two error correction algorithms based on the maximum sequen cecorrelation recognition algorithm, including iterative decoding and small traversal, which make full use of the received data and enhance the error resilience．

zh-cn	仿真结果表明，加入纠错算法使得原有算法的交织识别性能明显改善，相同条件下完成全部交织参数识别所需数据量仅需原有的 1 /3;在相同数据量的条件下实现全部交织参数识别时的 SNＲ 增益大于 2dB。
en-us	Simulation results show that the performance of the improved algorithm is obviously better than the original algorithm by adding error correction algorithm, and it only needs 1 /3 of the data to complete the identification of all the interleaved parameters under the same conditions and has more than 2dB gain to achieve the identification of all the interleaved parameters under the condition of the same amount of data．

zh-cn	此外，基于译码纠错的方法具有通用性，同样适用于其他基于校验关系的识别算法。
en-us	In addition, the method based on decoding error correction is universal, which is also applied to other recognition algorithms of parity-check relationship．

zh-cn	针对移动机器人全局重定位时易出现定位错误的问题，本文提出一种基于构建的语义地图，并加载语义似然估计的粒子滤波重定位的解决方法。
en-us	Aiming at the problem that mobile robots are prone to localization errors during global relocation, this paper proposes a particle filter relocation method based on the constructed semantic map and loading semantic likelihood estimation to solve the problem．

zh-cn	利用激光雷达建立环境栅格地图，同时结合三维深度相机对物体的识别与定位信息，赋予栅格语义信息，得到环境语义地图。
en-us	Using the lidar to establish the environmental grid map, meanwhile combing with the three-dimensional depth camera's object recognition and positioning information, the environmental semantic map is obtained by giving semantic information．

zh-cn	在重定位过程中，通过粒子滤波方法同时进行栅格地图结构匹配与环境语义信息的匹配，以推算机器人在地图上的实际位置。
en-us	During the relocation process, the particle filter method is used to simultaneously match the grid map structure and the semantic information of the environment to calculate the actual position of the robot on the map, and accurately to realize the position relocation．

zh-cn	通过实验证明所提出方法克服了现有粒子滤波方法仅利用环境结构信息进行匹配的不足，有效解决机器人全局重定位容易出错的问题，增强了重定位的鲁棒性，同时增强了重定位的收敛速度。
en-us	Experiments results show that this method can overcome the shortcomings of theoriginal particle filtering method that only uses environmental structure information for matching, also solve the problem of robot global relocation error-prone and enhance the robustness of relocation, and enhances the convergence speed of relocation．

zh-cn	在大规模机器类通信(Machine Type Communication，MTC)中，当短时间内大量的设备涌入 LTE-A(LongTerm Evolution-Advanced)网络，同时发起随机接入的时候就会造成严重的网络拥塞，需要采取合适的措施对拥塞加以控制。
en-us	In massive machine type communication (MTC), when a large number of devices flood into the LTE-A (long term evolution-advanced) network in a short period of time, and simultaneously initiated random access attempt, which will cause serious network congestion. Appropriate measures need to be taken to control the congestion．

zh-cn	为此，本文提出了一种基于滑动窗口的拥塞控制方案，通过窗口的大小控制同时发起接入尝试的设备数量，降低设备间的碰撞概率，能够有效提高系统接入成功率，缓解网络拥塞。
en-us	Therefore, this paper proposes a congestion control scheme based on a sliding window． The size of the window controls the number of devices that simultaneously initiate attempts to reduce the collision probability between devices, which can effectively improve the success rate of system access and alleviate network congestion．

zh-cn	本文在不同负载场景中，将提出的方案与静态ACB(Access Class Barring)策略、动态 ACB 策略的接入性能进行了比较。
en-us	In different load scenarios, the proposed scheme is compared with the receiving performance of the static ACB (access class barring) strategy and the dynamic ACB strategy．

zh-cn	仿真结果表明，本文所提出的方案能够实现接近 100% 的接入成功率，同时进一步降低平均接入时延与系统总体服务时长。
en-us	The simulation results show that the scheme proposed here can achieve access success rate close to 100% , while reduces the minimum average reception delay and overall system service time．

zh-cn	软件缺陷预测有助于提高软件质量，合理配置软件测试资源，目前已经有不少基于软件度量指标的缺陷预测模型。
en-us	Software defect prediction helps improve software quality and allocate software test resources reasonably. Many defect prediction models based on software metrics have been proposed．

zh-cn	然而，现有的软件度量指标主要集中在源代码的结构信息上，程序语义信息考虑较少。
en-us	However, the existing software metrics are mainly focused on structure information of source code, and the semantic information is lacking．

zh-cn	编译优化是对程序语义进行深入分析的结果，直观地认为它应该在一定程度上能够反映程序的语义信息，有助于软件缺陷预测。
en-us	Compilation optimizationis the result of deep analysis of program semantics, and intuitively we believe that it should reflect the semantic information of the program in some ways to help defect prediction．

zh-cn	因此，为分析编译优化度量指标对软件缺陷预测的影响，本文首先基于当前编译器中广泛使用的优化选项，设计了 9 种编译优化度量指标。结合源代码结构层面的度量指标，构建了 5 种软件缺陷预测度量模型。
en-us	Based on the optimization options widely used in the current compiler, this paper extracts 9 compilation optimization metrics, and proposes five types of metrics models that designed by different metrics sets．

zh-cn	利用 weka 中提供的 13 种常用的分类器，对比分析了添加不同优化度量指标的模型效果，对编译优化度量与软件缺陷预测之间的关系进行了评价，同时与 DP-CNN(Defect Prediction via Convolutional Neural Network)模型进行了对比。
en-us	The relationship between compilation optimization metrics and software defect predictions was evaluated by 13 commonly used classifiers in weka, and also compared with DP-CNN．

zh-cn	实验结果表明:编译优化度量指标对软件缺陷预测的召回率有显著影响;
en-us	Experimental results show: Compilationoptimization metrics have a significant impact on the recall rate of software defect prediction;

zh-cn	在代码复杂度度量指标的基础上增加编译优化度量指标，可以提升所有软件缺陷预测模型的性能，平均提升幅度约为 5% ;
en-us	Static code metrics combined with compilation optimization metrics can improve the performance of software defect prediction in all classifiers, which can improve the performance of prediction by about 5% ;

zh-cn	基于代码大小的优化度量和基于性能的优化度量具有各自的特点，两者相结合可以在软件缺陷预测中获得更好的性能。
en-us	Code size based optimization metrics and performance based optimization metrics have their characteristics, combined both of them can get better performance in software defect prediction．

zh-cn	面向领域的自然语言理解技术是垂直搜索引擎、领域相关问答系统等应用的核心技术之一。
en-us	Domain-specific natural language understanding technology is one of the core technology of vertical search engines, domain-specific question answering system and other applications．

zh-cn	本文在已构建的基于本体和语义文法的自然语言理解系统的基础上，提出一种基于错误驱动的语义文法自动扩展学习方法，对于解析错误的句子，利用核心文法生成部分解析树，按照打分函数选择一组最佳的部分解析树，利用预测模型预测部分解析树的上层节点并试图构建完整的解析树，从而学习得到新的文法规则，对于学习得到的不同类型的规则进行验证并更新核心文法库，通过对句子的可学习性度量来筛选学习对象，从而提高文法扩展学习的整体质量和效率。
en-us	This research focus on a novel constrained semantic grammar and its automatic learning methods based on an existing domain-specific question answering system. An error-driven learning method of semantic grammar is proposed. The method first partially parses the ungrammatical sentence based on the core semantic grammar, then it attempts to build a complete parse tree, including predicting the top-level node of the partial parsing tree, generating and verifying hypotheses of new grammar rules. Learnability metrics is used to filter sentences in the training corpus to improve the overall quality and efficiency of grammar extending algorithm．

zh-cn	分别在两个不同规模的领域数据集进行了测试，在交互式学习范式下，测试对比了学习算法在不同规模领域的学习效率，在批量学习范式下，测试对比了更新后的文法和核心文法在两个领域数据集上的准确率和识别率等性能指标。
en-us	The proposed algorithm is applied to two domains of different scales. In the interactive learning paradigm, learning efficiency are compared in different domains. In the batch learning paradigm, the paper compares the accuracy, MＲＲ and recognition rate of the extended grammar and core grammar on two datasets．

zh-cn	实验结果表明，本文所提出的方法是有效的。
en-us	The test results show that the proposed method is effective．

zh-cn	土体渗流场动态变化和其产生的深部位移是滑坡地质灾害的主要诱因。
en-us	The dynamic change of soil seepage field and its deep displacement are the main inducements of landslide geological disasters．

zh-cn	针对现有的深部位移监测技术无法在空间上完整描述和解释滑坡体变形过程的问题，提出一种基于简化交互多模型(Simplified Interactive MultipleModel，SIMM)和无迹卡尔曼滤波(Unscented Kalman Filter，UKF)的滑坡体内部结构成像预测技术。
en-us	To solve the problem that the existing deep displacement monitoring technology can not describe and explain the deformation process of landslide in space, an imaging prediction technology of landslide internal structure based on simplified interactive multiple model (SIMM) and unscented kalman filter (UKF)is proposed.

zh-cn	利用电法勘探具有快速、准确采集地下介质电性信息，并实现多维电阻率剖面成像的特点，依据地质条件，将不同勘探装置采集的电阻率模型作为输入。
en-us	Electrical prospecting has the characteristics of collecting underground media information quickly and accurately. Furthermore, it can realize multi-dimensional resistivity profile imaging. Based on the above and geological conditions, resistivity models collected by different exploration devices are taken as input．

zh-cn	通过门限检测，判别滑移面周边电阻率值变化速度是否超过预警值，对各模型数据进行无迹卡尔曼滤波并交互输出。
en-us	The threshold detection is used to judge whether the change speed of the resistivity value around the slip surface exceeds the warning value, and the data of each model are processed by unscented Kalman filter and output interactively．

zh-cn	现场实验证明，该算法解决了电阻率采集装置间灵敏度匹配问题，实现了滑坡地质体内部结构快速、多维成像，提高了滑坡内部形变过程解释的有效性。
en-us	Field experiments show that the algorithm solves the problem of sensitivity matching between resistivity acquisition devices, realizes fast and multi-dimensional imaging of the internal structure of landslide geological body, and improves the effectiveness of interpretation of landslide internal deformation process．

zh-cn	基于口令的认证密钥交换协议在现代通信网络中有很强的实用性。
en-us	Password-based authentication key exchange protocol is highly practical in modern communication networks．

zh-cn	量子技术的迅速发展使得传统公钥密码体制的安全性面临严峻的形势，基于格理论构造密码系统已成为当前后量子密码研究的热点。
en-us	The rapid development of quantum technology has made the security of traditional public key cryptosystem face a severe situation. The construction of cryptosystem based on lattice theory has become a hot topic in the research of post-quantum cryptography．

zh-cn	本文基于格理论环上误差学习(ＲLWE)问题，使用 Peikert 式误差协调机制构造了一个 C/S 模式下的口令认证密钥交换协议(PAKE)，设置了合理的参数保证双方以显著概率得到相同的会话密钥，并使用 Java 在 Eclipse 平台上进行了此协议的模拟实现。
en-us	The scheme is based on the lattice theory error learning (ＲLWE) problem, and uses the Peikert error reconciliation mechanism to construct a password authentication key exchange (PAKE) protocol in C /S mode. Reasonable parameters are setto ensure that both parties get the same session key with significant probability, and by using Java to implement PAKE protocolon the Eclipse platform．

zh-cn	协议在 C/S 模式的 PAKE 安全模型下可证明安全，可抵御量子攻击，与现有的基于格理论设计的 PAKE 协议相比，通信量较低并且在安全度上有较强的优势，是一种简洁高效的后量子口令认证密钥交换协议。
en-us	The security of the protocol is proved under the standard BPＲ model and can withstand quantum attacks. Compared with the existing PAKE protocol based on lattice theory, the proposed protocol has lower communication and better security. It is a simple and efficient post-quantum password authentication key exchange protocol．

zh-cn	为了更好地揭示图像和文本之间潜在的语义关联，提出了一种融合两级相似度的跨媒体检索方法，构建两个子网分别处理全局特征和局部特征，以获取图像和文本之间更好的语义匹配。
en-us	To better reveal the latent semantic correlation between image and text, this paper proposes a cross media retrieval method by fusing two level similarity, which constructs two subnets to deal with global features and local features respectively so as to obtain better semantic matching between image and text．

zh-cn	图像分为整幅图像和一些图像区域两种表示，文本也分为整个语句和一些单词两种表示。
en-us	The image representation is divided into whole image and some image regions, and the text representation is also divided into whole sentence and some words．

zh-cn	设计一个两级对齐方法分别匹配图像和文本的全局和局部表示，并融合两种相似度学习跨媒体的完整表示。
en-us	A two level alignment method is designed to match the global and local representation of image and text, and the two similarities are fused to learn the complete cross-media representation．

zh-cn	在 MSCOCO 和 Flickr30K 数据集上的实验结果表明，本文方法能够使图像和文本的语义匹配更准确，优于许多当前先进的跨媒体检索方法。
en-us	The experimental results on MSCOCO and Flickr30K datasets show that the proposed method can make the semantic matching of image and text more accurate, and is superior to many state-of-the-art cross-media retrieval methods．

zh-cn	针对绿色零等待作业车间调度问题，本文提出一种基于分布估计算法(Estimation of Distribution Algo-rithm，EDA)的多目标优化算法，用于最小化最大完工时间和总能量消耗。
en-us	A multi-objective optimization algorithm based on estimation of distribution algorithm, namely EDA (Estimation of Distribution Algorithm) is presented to minimize the maximum completion time and the total energy consumption for the green no-wait job shop scheduling problem (GNWJSSP)．

zh-cn	采用双种群增加种群的多样性，并加入启发式操作 NEH(Nawaz-Enscore-Ham，NEH)来提高初始解的质量。
en-us	Double populations are used to increase the diversity of the population, and a heuristic operation named NEH (Nawaz-Enscore-Ham) is added to improve the quality of the initial solution.

zh-cn	设计自适应学习速率来控制优良解信息在整个算法搜索过程中的引导作用。
en-us	An adaptive learning rate is designed to control the guidance of the information of excellent solutions during the entire algorithm search process．

zh-cn	结合零等待作业车间调度问题的结构性质与解码方式，提出基于前端省略的快速评价方法，同时利用 Insert 操作构建两种局部搜索策略，进而加强算法的搜索效率和深度。
en-us	Combined with the structural properties and decoding method of the no-wait jobshop scheduling problem, a fast evaluation method based on the front omission strategy is proposed, and two local search strategies are constructed by utilizing the Insert operation, thereby enhancing the search efficiency and depth of the algorithm．

zh-cn	通过仿真实验和算法对比验证所提算法的有效性。
en-us	The effectiveness of the proposed algorithm for solving GNWJSSP is verified by simulation experiments and algorithm comparisons．

zh-cn	本文针对一类柔性作业车间调度问题，综合考虑运输资源约束、工件间准备时间约束等条件，以最小化最大完工时间和能耗为目标，提出了一种改进的人工蜂群优化算法。
en-us	The flexible job shop scheduling problem is investigated, where the transportation resource and operation related setup time constraints are considered simultaneously. The objective is to minimize the maximum completion time and the energy consumption．

zh-cn	为求解该问题，算法采用二维向量编码，即调度向量记录工件的调度顺序，机床分配向量记录工件分配可用机床情况，解码过程充分考虑运输资源、工件间准备时间等约束条件。
en-us	To solve the problem, we propose an improved artificial bee colony algorithm, where each solution is represented by a two-dimensional vector, the scheduling vector is to record the operation processing sequence, and the machine assignment vector is to assign the candidate machine for each operation． In the decoding mechanism, the transportation and setup time constraints are investigated．

zh-cn	在局部搜索策略方面，提出了五种不同的调度邻域结构，并根据目标特点，设计了一种机床分配邻域结构。
en-us	For the local search approaches, we develop five types of neighborhood structures for the scheduling part, and a well-designed machine assignment neighborhood structure for the machine assignment vector.

zh-cn	为进一步提升算法的全局搜索能力，嵌入了模拟退火接受准则。
en-us	To enhance the global searching abilities, the simulated annealing acceptance method is embedded.

zh-cn	实验结果验证了所提算法的优势显著。
en-us	Finally, the experiment comparisons verify the performance of the proposed algorithm．

zh-cn	针对水声传感器网络中移动定位算法的误差和鲁棒性问题，提出两种蒙特卡罗移动定位算法:CＲMCL(Circular Ｒing Monte Carlo Localization)和 PＲMCL(Particle Swarm Optimization for Circular Ｒing Monte Carlo Localiza-tion)。
en-us	Aiming at error and robustness of localization algorithms in underwater acoustic sensor networks, we proposed two monte carlo mobile localization algorithms: circular ring monte carlo localization (CＲMCL) and particle swarm optimization for circular ring monte carlo localization (PＲMCL)．

zh-cn	CＲMCL 利用 1 跳锚节点构建圆形采样区域和圆环过滤器。
en-us	CＲMCL used one-hop anchor nodes to construct circular sampling area and ring filter．

zh-cn	通过定义样本密度得到合理的样本数，论证圆环参数与过滤区域面积的关系。
en-us	By defining sampling points density, we obtained reasonable sample number. The relationship between the ring parameter and the filtration area was demonstrated．

zh-cn	通过仿真实验得到合理的圆环参数，并以此构建高效的过滤器，降低定位误差。
en-us	Then the reasonable ring parameter was obtained through the simulation experiments， and an efficient filter was constructed to reduce the localization error．

zh-cn	PＲMCL 使用粒子群算法优化 CＲMCL 过滤后的样本，降低了无效样本的数目，增强了算法的鲁棒性。
en-us	PＲMCL used particle swarm optimization (PSO) algorithm to optimize the samples filtered by CＲMCL， which reduced the number of invalid samples and improved the robustness of localization．

zh-cn	仿真表明，在不需要额外硬件的情况下，CＲMCL 和 PＲMCL 比蒙特卡罗及其改进算法误差小、鲁棒性强。
en-us	The simulation results show that CＲMCL and PＲMCL have lower localization error and better robustness than monte carlo localization and other improved algorithms without additional hardware．

zh-cn	在无线可充电传感器网络中，针对提高充电能量效率问题，提出了一种按需多节点顺带充电调度方案。
en-us	To improve the charging energy efficiency in wireless rechargeable sensor networks (WＲSNs), this paperproposes an on-demand multi-node passerby charging (OMPC) scheduling scheme．

zh-cn	考虑移动充电器在为请求节点充电时，允许其为覆盖范围内的非请求节点同时充电。
en-us	Mobile chargers are considered to be allowed to simultaneously charge unrequested nodes within the range of coverage while charging the request nodes．

zh-cn	为了进一步减少分组个数，通过对已有的算法改进提出了一种更有效的启发式算法，并证明了停止点选择的正确性。
en-us	To further reduce the number of groups, a more effective heuristic algorithm is proposed compared with the existing algorithms, and the correctness of the selection of the stopping points is proved．

zh-cn	分析了低效率分组对充电性能的影响，并提出了拆分低效率分组的有效策略，以局部优化行驶路径。
en-us	In this paper, the effect of low-efficiency grouping on charging performance is analyzed, and an effective strategy for splitting low-efficiency grouping is proposed to optimize the travel path locally.

zh-cn	仿真结果表明，在离线和按需场景中，所提算法和方案可以减少能耗和提高充电能效。
en-us	Simulation results show that in offline and on-demand scenarios, the proposed algorithm and scheme can reduce energy consumption and improve charging efficiency．

zh-cn	近年来，自动化沙箱被广泛部署并应用于恶意代码分析与检测，然而随着恶意代码数量的激增和抗分析能力的增强，如何有效应对海量恶意代码分析任务，提高沙箱系统分析效率，是增强网络安全防御能力的一个重要研究方向。
en-us	In recent years, automated sandboxes have been widely deployed for malware analysis and detection. However, with the rapid increase column of malware and the enhancement of anti-analysis capabilities, how to effectively handle these massive malware analysis tasks and improve the efficiency of sandbox system is an important research topic．

zh-cn	本文利用不同学习方式以及恶意代码动、静态特征的特点，提出了一种基于混合学习模型的恶意代码检测方法，分别提取恶意代码的静态模糊哈希特征和动态行为特征，然后将无监督聚类学习与有监督的分类学习相结合用于恶意代码检测。
en-us	Based on the characteristics of different learning methods and malware dynamic and static features, this paper proposes a malware detection method based on a hybrid learning model. We extract static fuzzy-hash features and dynamic behavior features ofmalware, then unsupervised clustering learning is combined with supervised classification learning.

zh-cn	实验表明，在不影响检测精度的情况下，只利用了原有系统 0. 02% 分析时间提高了整个系统 25.6%的检测速度。
en-us	Experiments show that using only 0. 02% of the analysis time improves the detection speed of the entire system by 25. 6% without affecting the detection accuracy．

zh-cn	为了更好地学习节点依赖并利用结构信息，本文提出一种以完全依赖树作为直接输入的新方法，利用图卷积网络并结合两个并行的注意力模块，自主学习如何有选择地关注对关系抽取任务有用的信息。
en-us	To better learn node dependence and make use of structural information, this paper proposes a new method that takes the tree of complete dependence as the direct input． The method uses the graph convolutional network and combines two parallel attention modules to learn how to select the useful information．

zh-cn	该方法将样本表示成图上的各节点，一个模块用于计算节点特征位置之间的影响，使特征向量可以包含更广范围的语义信息，另一个用于计算节点依赖的关系特征，以增强节点间的全局依赖。
en-us	The method represents the samples as nodes on the graph. One module is used to compute the influence between positions of node features, which allows the feature vector to contain a wider range of semantic information. The other one is used to compute the relational features of node dependence, so as to enhance the global dependence between nodes．

zh-cn	两个模块并行相互提升，可以得到完整的特征表示。
en-us	The two modules promote each other in parallel to obtain complete feature representation.

zh-cn	在 TA-CＲED 和 SemEval 数据集上的实验结果表明，该方法能够更有效地获取对关系抽取任务有益的信息，在各评价指标上取得了更好的性能。
en-us	The experimental results on the TACＲED and SemEval datasets show that the method can obtain more useful information for relation extraction, thus achieve better performances on various evaluation metrics．

zh-cn	现有深度学习方法在对时间序列预测时，未充分考虑空间依赖性，且长期预测的准确率也较低。
en-us	There are various deep learning methods already implemented in time-series forecasting problems, and some of them show better performance and adaptability than the methods based on statistics. However, the spatial dependence implicit in multiple series usually is not considered within the existing time-series forecasting methods, which also results in unsatisfactory performance in long-term forecasting．

zh-cn	针对此问题，提出一种融合时间序列分解策略和时空卷积神经网络的时序预测模型 SDBＲNN(Series-Decomposition-Block Ｒe-current Neural Network)。
en-us	Thus, we propose a model series-decomposition-block recurrent neural network (SDBＲNN), which fuses time-series decomposition strategy and the spatio-temporal convolutional layer．

zh-cn	该模型首先学习序列的多周期值并对序列进行最优 STL 分解;然后结合相邻观察点构造兼具时空数据块;
en-us	This model relies on an improved STL decomposition strategy to get optimal series-components and to combine them into spatio-temporal blocks．

zh-cn	再采用 Block-LSTM 中的三维卷积模块对时空数据块进行特征提取，让三维块在 LSTM 细胞中参与状态更新和反向传播，最终实现模型对时空特征的学习。
en-us	Then an long-short term memory (LSTM) variant network called Block-LSTM is used to extract spatio-temporal features from blocks and achieve forecasting．

zh-cn	结合多个时空序列测试数据分析，表明该模型在具有空间依赖关系的时序数据集上，比传统的时间卷积模型和循环神经网络具有更好的时空特征提取能力和拟合预测能力，验证了该模型的有效性。
en-us	Experiments on real-world datasets proved that the model has excellent capabilities of feature extraction and long-term forecasting compared with other methods such as temporal convolutional network and recurrent neural network．

zh-cn	本文介绍三值光学计算机的一种新型并行加法器—SJ-MSD 加法器的设计与实现。
en-us	In this paper the design and implementation of a new parallel adder, SJ-MSD adder, in a ternary optical computer (i. e. TOC) are proposed．

zh-cn	介绍判断一组三值逻辑变换能够实现并行无连续进位二进制 MSD 数加法的充分条件(沈氏充分性定理)。
en-us	It is introduced that a sufficient conditions (Shen's sufficient theorem) which judging that a group of ternary logical transformations is able to build a MSD (Modified Signed Digit) addition．

zh-cn	给出了构成 SJ-MSD 加法器的五个三值逻辑变换:S1、S2、J1、J2和 J3(简称 SJ 变换)，及其操作规则(简称 SJ 规则)，并依据沈氏充分性定理推证了 SJ变换和 SJ 规则构成 MSD 并行加法器的可靠性。
en-us	Five logical transformations S1, S2，J1，J2 and J3 (i． e． SJ transformation) and a parallel carry-free MSD addition rule (i.e. SJ rule) are proposed to construct SJ-MSD adder. Meanwhile according to Shen's sufficient theorem, the reliability of the SJ transformation and SJ rule used to construct MSD parallel adder is proved．

zh-cn	尔后又详细阐述了 SJ-MSD 加法器在三值光学计算机原型系统 SD16上的设计方案和实现方法，并阐述了流水计算和多数据共享 SJ-MSD 加法器的实现方法。
en-us	Subsequently, in the ternary optical computer prototype system SD16, the design and implement of SJ-MSD adder are discussed in detail. At the same time the implementation methods of pipeline addition and sharing one SJ-MSD adder for multiple data are expatiated．

zh-cn	文中最后详细介绍了对 SJ-MSD 加法器的测试实验。
en-us	Some experiments of SJ-MSD adder is introduced．

zh-cn	与先期的 TW-MSD 加法器相比，SJ-MSD 加法器减少占用处理器位数约 25% ，有效提高了三值光学处理器的使用率。
en-us	Compared with the previous TW-MSD adder, the SJ-MSD adder occupies processor bits less about 25% . So theoptical processor's efficiency is effectively improved．

zh-cn	自适应界面中经常遇到调整界面项目区域位置和增大区域面积，吸引用户注意，提高交互效率的情况。
en-us	In order to attract users' attention and improve the efficiency of interaction, adjusting the position and increasing the area of interface elements is very common in adaptive interface．

zh-cn	本文对自适应界面项目区域位置变化和区域面积增大过程中人的认知特性进行了研究，为自适应界面设计提供依据。
en-us	In this paper, we studied the cognitive character-istics of people in the process of the change of regional location and the increase of regional area of the adaptive interface, which provides guidelines for the design of the adaptive interface．

zh-cn	设计了工效学实验，使界面自适应项目在中间位置和其他位置进行随机切换，界面自适应项目在原面积界面和增大面积界面之间随机切换，模拟界面元素的自适应过程，要求被试完成视觉搜索任务，记录被试反应时间和正确率。
en-us	Ergonomics experiments were designed to make the inter-face adaptive items randomly switch between the middle position and other locations, as well as the original area interface and the enlarged area interface. The subjects were asked to complete the visual search task, and the reaction time and accuracy of the subjects were recorded.

zh-cn	研究表明，在区域位置随机切换条件下，变化方向(上下左右)、变化距离对反应时间均有显著影响;
en-us	The results show that the direction (up, down, left and right), and the distance have significant effects on the reaction time.

zh-cn	由反应时间随距中心位置距离变化曲线图，眼动热点图，发现被试者对上下方向的变化更敏感;
en-us	The eye movement heatmap shows that subjects are more sensitive to change in the direction of the up and down.

zh-cn	在本文实验条件下，界面项目上下方向自适应变化距离不能超过该方向屏幕尺寸的 15% ，左右变化不能超过该方向屏幕尺寸的 25% ;
en-us	Under the experimental conditions, the adaptive change distance of the interface items in the up and down directions can not exceed 15% of the screen size; the change distance cannot exceed 25% of the screen size in thedirection of left and right．

zh-cn	当增大的面积大于原面积的 125% 时，动态切换因素对反应时间影响显著，所以增大的面积不能超过原面积 100% 。
en-us	When the increase is greater than 125% of the original area, the dynamic switching factor has asignificant effect on the reaction time, so the proportion of area increase can not exceed 100% ．

zh-cn	自回归(AＲ)模型是一类描述时序序列相关性的有效方法，经典的 AＲ 系数估计方法对残差信号做了简单的假设，在噪声干扰等复杂场景中难以准确估计 AＲ 系数，而基于深度神经网络(DNN)的 AＲ(DNN-AＲ)系数估计方法在训练中容易受到莱文逊-杜宾迭代(LDＲ)解法的数值稳定性的影响。
en-us	The auto-regressive (AＲ) model is an effective method to describe the correlation of time series. The classic AＲ coefficient estimation method utilizes a simple assumption about residual signal. It is a challenge to accurately estimate the auto-regressive coefficients in a complex environment such as noise or interference. Even though Deep Neural Networks (DNN) based AＲ (DNN-AＲ) coefficient estimation method can estimate the AR coefficients in a complex environment, the DNN-AＲ method is easily affected by the numerical stability of Levinson-Durbin recursion (LDＲ) approach during the training stage．

zh-cn	为改善 DNN-AＲ 系数训练的稳定性和整体性能，在保证系统稳定性的前提下，本文利用精度转化提高系统运算速度的思路，提出了基于广义合成分析(GABS)模型的深度网络结构改善方法，提高了 AＲ 系数在含噪环境下估计的准确性和网络训练的稳定性。
en-us	The main target is to improve the stability and overall performance of the DNN-AＲ based method. In this paper, the precision transform method is utilized to improve computational efficiency while keeping system stability, and the generalized analysis-by-synthes is combing DNN (GABS-DNN) model is proposed for improving the accuracy of AＲcoefficient estimation and stability of the DNN training in the noisy environment.

zh-cn	组合 DNN的 GABS(GABS-DNN)的模型由三个主要部分组成:修正器的谱增强网络、编码器的 DNN 预处理及 LDＲ 参数估计和解码器的 AＲ 系数到功率谱的转换。
en-us	The GABS-DNN model consists of three main parts: spectrum enhancement network in the modifier, DNN preprocessing and LDＲ parameter estimation at the encoder, and the conversion from autoregressive coefficient to power spectrum at the decoder．

zh-cn	在优化目标函数的过程中，引入了增强谱和观测谱的误差，减少了反向传播时LDＲ 的梯度对增强网络的影响，实现了稳定估计含噪语音的 AＲ 系数。
en-us	In the process of optimizing the objective function, the error between the enhanced spectrum and the observed spectrum is added for reducing the influence of the gradient of the LDＲ on the enhanced network during back-propagation, which results in a stable estimation of the AＲ co-efficients of noisy speech．

zh-cn	设计了一种基于不同半径的二氧化钒(VO2)圆环加载于介质层上的宽带可调超材料吸波器，利用 VO2随温度变化的相变特性，实现了外部温度对吸收曲线的动态调节。
en-us	A broad and tunable metamaterial absorber based on vanadium dioxide (VO2) rings with different radiusloaded on the dielectric layer is designed. The phase transition characteristics of VO2 with temperature are used to realize the dynamic adjustment of the absorption curve of external temperature.

zh-cn	通过仿真计算表明，该吸波器在外部温度为 350K 时在8.09 ～11. 23THz 带宽范围内吸收率可达 90% 以上，表现出高吸收特性;而外部温度为 300K 时在相同频段内吸收率始终低于 20% ，从而实现了对电磁波吸收的可调功能。
en-us	Simulation calculations show that the absorber can reach more than 90% in the bandwidth of 8. 09 ～ 11. 23THz when the external temperature is 350K, showing high absorption characteristics; while the absorption coefficient in the same frequency band is always lower than 20% when the external temperature is 300K, achieving the adjustable function of electromagnetic wave absorption．

zh-cn	进一步对吸波器的等效阻抗和电场分布进行分析讨论，阐明 VO2对吸收性能的调节机制。
en-us	The equivalent impedance and electricfield distribution of the absorber are further analyzed and discussed, and the adjustment mechanism of VO2 on the absorptionis clarified．

zh-cn	此外，文章讨论了结构参数、偏振角以及入射角对吸收的影响。
en-us	In addition, the article discusses the effects of structural parameters, polarization angles, and angles of incidence on the absorptivity.

zh-cn	其结果表明，合理选择结构参数可实现吸收性能与偏振角、入射角的无关性。
en-us	The results show that reasonable selection of parameters of the structure can achieve the independence of the absorbing performance from the polarization angle and the angle of incidence．

zh-cn	本文的结论对于设计其它类型的超宽带可调吸波器具有重要的指导意义。
en-us	The conclusions of this paper have promising potential for designing other types of ultra-wideband tunable absorbers．

zh-cn	针对经典证据理论处理高冲突情况时结果违反常理的问题，在对其原因及各类改进方法进行研究分析的基础上，提出基于冲突关系网络的证据合成方法。
en-us	Since the result of classic evidence theory in dealing with high conflict situation is unreasonable, after analyzing the reasons and various improved methods, the evidence combination method based on conflict relation network is proposed．

zh-cn	该方法从整体着眼，充分考虑直接与间接冲突关系，通过构建网络，利用 PageＲank 算法的思想获取证据权值并进行加权修正，最后利用 Dempster 组合规则进行融合，既保留了经典理论优良的数学性质，又较好解决了前述问题。
en-us	The method considers direct and indirect relations adequately, takes advantage of the idea of PageＲank algorithm to obtain the weight of evidence by building network. Then the evidence is revised and weighted. Finally，the fusion is accomplished by adopting the combination rule of Dempster. It solves the problem above preferably while keeping the good mathematical properties of evidence theory．

zh-cn	算例分析结果表明，该方法能够客观反映冲突证据所携带的不确定信息，具备一定的优越性。
en-us	Analysis of examples indicates that, the proposed method can objectively reflect uncertain information with conflicting evidences well．

zh-cn	目前基于视图的三维模型检索已经成为一个研究热点。
en-us	Ｒecently, 3D model retrieval based on views has become a research hot spot．

zh-cn	该方法首先将三维模型表示为二维视图的集合，然后采用深度学习技术进行分类和检索。
en-us	In this method, 3D models are represented as a collection of 2D views, which allows deep learning techniques to be used for 3D model classification and retrieval．

zh-cn	但是现有的方法在精度和效率方面都有待提升。
en-us	However, current methods need improvements on both accuracy and efficiency．

zh-cn	本文提出了一种新的三维模型检索方法，该方法包括索引建立和模型检索。
en-us	We propose a 3D model retrieval method, which includes index building and model retrieval．

zh-cn	在索引建立阶段，选择代表性视图输入到训练好的卷积神经网络(Convolutional Neural Network，CNN)中以提取特征和分类，进而根据特征类别对特征进行组织以建立索引在检索阶段，使用 CNN 和投票算法将输入模型的代表性视图分类为一个类别，然后仅选择这个类别的特征而不是所有类别的特征进行相似度匹配，因此减少了搜索空间。
en-us	In the index building stage, representative views are selected and input into a well-learned Convolutional Neural Network (CNN) for feature extraction and classification. Next, the features are organized according to their labels to build indexes. In the retrieval stage, the representative views of the input model are classified into a category with the CNN and voting algorithm, and then only the features of one category rather than all categories are chosen to perform similarity matching. In this way, the searching space for retrieval is reduced．

zh-cn	此外，随着用于检索的视图数量的逐渐增加，一旦可以确定三维模型，检索过程将提前终止。
en-us	In addition, the number of the used views for retrieval is gradually increased. Once there is enough evidence to determine a 3D model, the retrieval process will be terminated ahead of time．

zh-cn	实验的数据选用刚 性 三 维 模 型 数 据 集 ModelNet10，ModelNet40 和 非 刚 性 三 维 模 型 数 据 集McGill10。结果表明，该方法在提升检索效率的同时，确保检索准确率分别高达 94% 、92% 和 100% 。
en-us	Experiments on the rigid 3D model datasets ModelNet10, ModelNet40, and the non-rigid 3D model dataset McGill10 show that the proposed method can improve the retrieval efficiency substantially while keeping high retrieval accuracy rates at 94% , 92% and 100% , respectively．

zh-cn	以非下采样剪切波变换(NSST)及隐马尔可夫树(HMT)理论为基础，提出了一种基于 BKF(Bessel KForm)矢量 HMT 的非下采样剪切波域图像水印算法。
en-us	In this paper, we propose a blind NSST domain image watermark decoder, where in a vector-based HMT statistical model using BKF distribution is used.

zh-cn	水印嵌入时，首先对原始载体图像进行 NSST;然后构造自适应高阶水印嵌入强度函数;最后选择重要的 NSST 高频系数乘性嵌入水印。
en-us	In the proposed scheme, the NSST is firstly performed on the original hostimage, and then the adaptive high-order watermark embedding strength functions are constructed, and finally the watermarkdata is embedded into the significant high-frequency coefficients in NSST domain．

zh-cn	水印检测时，首先根据 NSST 系数的非高斯分布特性及 NSST 系数间的子带内、方向间、尺度间等多种相关特性，建立具有强描述能力的 BKF 矢量 HMT 模型;
en-us	At the watermark receiver, NSST high pass coefficients are firstly modeled by employing the BKF vector HMT, where the BKF marginal statistics and strong intra-sub-band, cross-scale, and cross-orientation dependencies of NSST coefficients are incorporated.

zh-cn	然后利用最大期望(EM)方法，估计出 BKF 矢量 HMT 模型参数;
en-us	Then the statistical model parameters of BKF vector HMT are estimated using the expectation maximization approach．

zh-cn	最后结合 BKF 矢量 HMT 模型和最大似然(ML)检验理论，构造出数字水印检测器并提取水印。
en-us	And finally a blind image watermark decoder is developed using BKF vector HMT and the maximum likelihood decision rule．

zh-cn	仿真实验结果证明了本文算法的有效性。
en-us	The experimental results validatethe effectiveness of the proposed technique．

zh-cn	本文根据高动态飞行器平台终端的特点，研究了高动态飞行器平台终端通信中的频率精确估计技术，提出了一种频率精确估计分解算法。
en-us	According to the characteristics of high dynamic aircraft platform terminal, this paper studies the problem of frequency accurate estimation in high dynamic aircraft platform terminal communication, and proposes a decomposition algorithm for frequency estimation accurately．

zh-cn	首先，基于分段搜索，确定导频帧的大致位置，并估计出频偏的粗略值;
en-us	Firstly, the approximate position of pilot frame is determined and approximate value of frequency offset is estimated based on the segmented search．

zh-cn	其次，通过移频搜索法，确定各数据帧的准确位置，以及更高的频偏估计精度，对数据帧解扩;
en-us	Secondly, the accurate position of each date frame is determined by the frequency offset search method, and the higher frequency offset estimation accuracy is obtained by which data frame is de-expanded．

zh-cn	最后，利用数据帧中的 PN 字段进一步提高频偏估计精度，并利用频偏方程将各历史数据联立起来构成方程组，得到并跟踪频偏的变化规律。
en-us	Finally, the PN field in data frame is used to further improve frequency offset estimation accurately, and frequency offset equation and historical data are combined to form a set of equations, by which the change rule of frequency offset is obtained and tracked．

zh-cn	通过仿真试验，验证了利用本文提出的算法，能够准确地估计高动态飞行器平台终端通信中的频偏，满足时频同步的要求。
en-us	It is verified that the algorithm proposed in this paper can accurately estimate the frequency offset in terminal communication of high dynamic aircraft platform, which can meet requirement of time-frequency synchronization．

zh-cn	为了提高感兴趣区域音源的声场合成质量，提出了一种非均匀二次声源分布的声场分析与合成方法。
en-us	In order to improve the sound field synthesis quality of the sound source in the region of interest, a non-uniform secondary source distribution method for sound field analysis and synthesis is proposed．

zh-cn	首先，将连续二次声源的采样分为两个不同的采样区域，在总扬声器数目一定的情况下，增大感兴趣区域的样点数目并减少感兴趣区域外样点数目。
en-us	First, the sampling of the continuous secondary source is divided into two different sampling regions. With a certain number of loudspeakers, the number of samples in the region of interest is increased and the number of samples outside the region of interest is reduced．

zh-cn	然后，利用采样混叠矩阵的 Hermitian 特性，使用瑞利熵来估计不同非均匀采样方案的最大误差，以指导非均匀采样方案的选择。
en-us	Then, using the Hermitian characteristic of the sampling aliasing matrix, Ｒayleigh entropy is used to estimate the maximum error of different non-uniform sampling schemes to guide the selection of non-uniform sampling schemes．

zh-cn	最终得到非均匀二次声源驱动信号的频域计算方法。
en-us	Finally, the frequency domain calculation method of the driving signal for the non-uniform secondary source distribution is obtained．

zh-cn	实验结果表明在 2. 5D圆形区域边界下，所提非均匀排布方法与典型的均匀排布的最佳模态带宽相比，对感兴趣区域音源的无混叠半径提高了 12. 9% ～ 22. 6% ，验证了提出方法的有效性。
en-us	The experimental results show that the proposed non-uniform distribution method improves the aliasing-free radius by 12. 9% ～22. 6% for the sound sources from the region of interest under the 2. 5D circular boundary condition, compared with the optimal modal bandwidth of the uniform distribution. The effectiveness of the proposed method is verified．

zh-cn	提出了一种采用深度学习与图像融合混合实现策略的低照度图像增强算法。
en-us	An improved low-light image enhancement (LLIE) algorithm based on the hybrid strategy of deep learning and image fusion was proposed in this paper．

zh-cn	首先，利用照射分量预测模型直接基于输入的低照度图像快速地估计出其最佳照射分量并在 Ｒetinex 模型框架下获得一张整体上适度曝光图像;
en-us	We first adopted illumination prediction model to quickly estimate the optimal illumination component from a given low-light image and obtain its corresponding moderately exposed image within the framework of the Ｒetinex model．

zh-cn	其次，将低照度图像本身及它的过曝光图像作为适度曝光图像的修正补充图像参与融合;
en-us	Then the low-light image and its over-exposed image were used as supplementary images for the moderately exposed image．

zh-cn	最后，采用局部结构化融合和色度加权融合机制技术将制备好的 3 张待融合图像进行融合以获得最终的增强图像。
en-us	Finally, the three images were fused within the framework of the local structured fusion and the chrominance weighted fusion mechanism to obtain the final enhanced image．

zh-cn	实验数据表明:本文算法相较于各种主流对比算法在主客观图像质量评价指标上均有显著优势，在局部图像结构细节上具有更好的边缘保持和颜色保真效果。
en-us	Experimental results demonstrate that, comparedwith the state-of-the-art LLIE algorithms, the proposed hybrid strategy has significant advantages in both subjective and objective image quality evaluation metrics with better image edge preservation and color fidelity effect on local image details．

zh-cn	提高基于微机械(Micro-Electro-Mechanical System，MEMS)惯性导航系统(Inertial Navigation System，INS)的室内行人三维定位精度一直是一个研究热点和难点，其中器件误差是影响 MEMS-INS 精度的一个棘手问题。
en-us	Improving micro-electro-mechanical inertial navigation system based indoor pedestrian localization is a hot and hard topic these days.

zh-cn	由于器件误差产生的机理十分复杂，采用现有的修正技术无法准确地对误差进行估计建模，导致 MEMS-INS 的位置精度不高。
en-us	It is because random errors of MEMS gyroscopes and accelerators are very complicated, and very difficult to model using norm techniques．

zh-cn	本文从室内环境结构分析入手，提出了一种三维地图匹配的条件随机场算法。
en-us	In this paper, a map matching method based on conditional random fields and in-door 3D map is proposed．

zh-cn	通过设计导航输出的位姿信息与室内状态点的数学关系，结合最佳轨迹求取的算法建立室内三维地图匹配的算法模型。
en-us	The algorithm is designed by establishing the mathematical relationship between the inertial position and the interior points of indoor map, and the optimal trajectory algorithm is used to get the estimated locations.

zh-cn	最后通过算法求解出的最佳匹配点坐标修正惯性导航输出的位置误差。
en-us	The position errors of inertial navigation are corrected according to the matching points solved by the algorithm．

zh-cn	针对系统级封装结构的电磁兼容、信号完整性分析等应用，由于结构的复杂、多尺度和多材料的特性，其大规模电磁问题模拟一直难以实现。
en-us	In the electromagnetic compatibility analysis and signal integrity analysis, it is difficult to do full-wave electromagnetic simulation of system-in-package (SiP) due to its complex, multi-scale and multi-material characteristics．

zh-cn	本文中，主要展示了基于并行支撑框架 JAUMIN 研发的高性能电磁计算程序JEMS-CDS 及其在系统级封装结构电磁仿真中采用的高效算法。
en-us	Here, we present a high-performance program JEMS-CDS developed on parallel infrastructure JAUMIN and its high-efficien-cy algorithms in SiP electromagnetic simulations．

zh-cn	数值模拟结果显示 JEMS-CDS 程序在百 CPU 核并行规模上能够实现了近亿未知量的快速迭代求解。
en-us	Numerical results show that better convergence performance than traditional ones can be achieved, as well as a high parallel efficiency when scaling to hundreds of CPU cores with nearly one hundred millions unknowns．

zh-cn	针对某天线阵列和射频系统级封装结构，利用 JEMS-CDS 程序在国产并行机上完成了电磁场并行数值模拟，获得了电磁场的高分辨率结果，支持了电磁兼容性分析、信号完整性分析等应用。
en-us	Finally, a practical product is simulated to acquire the high-resolution distribution of electromagnetic, supporting the analysis of electro-magnetic compatibility and signal integrity．

zh-cn	随着各种网络应用爆发式增长，流量的在线分类陷入困境之中。
en-us	Online traffic classification is getting into troubles when the network applications are exploding．

zh-cn	传统的基于包统计特征的机器学习方法适用于稳定的网络环境，当网络拥塞出现严重的时延和丢包时将产生较大误差。
en-us	The traditional machine learning methods based on statistical characteristics of packets work well in stable network environment, but not in congestion environment with serious delay and packet loss．

zh-cn	因而本文提出基于粒计算模型的分类方法。
en-us	Therefore, a novel classification method based on granular computing is proposed in this paper．

zh-cn	粒计算属于人工智能计算的分支，当数据缺失、信息不完全或是有噪数据仍拥有较高的分辨能力。
en-us	Granular computing belongs to the field of artificial intelligence computing, which is usually used to process missing, incomplete or noisy data．

zh-cn	为此本文将网络流量定义成粒子并构造粒子间关系，再建立粒关系矩阵。
en-us	So we first define granules for the traffic, then construct the relations between the granules, and finally establish the relation matrix．

zh-cn	传统的包统计特征只是粒关系矩阵当观测角度达到最大时的特例，因此粒关系矩阵对流量特性的描述更为全面，以此进行分类也更为精准。
en-us	The traditional statistical characteristics are only the special case of the relation matrix when the scale is the largest. The granular relation matrix can describe the traffic more comprehensively and classify them more accurately．

zh-cn	最后实验数据证明了该方法的有效性和优越性。
en-us	The experiment results show its validity and advantages when compared with other methods．

zh-cn	针对传统一致性判决方法主要对整句(段)话进行分析，并无对分析内容加以筛选，存在字典规模过大、计算复杂度高及结果易受静音等弱关联片段影响等不足，本文以唇型变化显著的韵母为代表性发音事件，结合音唇初始时延分布范围的统计结果，提出基于韵母发音事件匹配与位置时延分析的一致性判决方法。
en-us	For the mainstream lip motion and voice coherence judgment method, the whole sentence (segment) is analyzed without screening the content. This leads to large dictionary size and high computational complexity, and the result is vulnerable to weak related segments such as mute. Considering the vowel with significant lip shape changes as a representative pronunciation event and combining with the statistical results of the audio-visual initial delay distribution range, a consistent decision method based on audio-visual matching of vowel pronunciation events and position delay analysis is proposed．

zh-cn	先利用提出的音视频结合韵母切分法对字典学习数据进行韵母段筛选，再通过学习所得的韵母字典分析韵母事件的音唇匹配度，并对各韵母出现位置的时延分布进行统计评分。
en-us	Firstly, the dictionary learning data is selected by the proposed audio-visual vowel segmentation method, and then the vowel dictionary is used to analyze the matching of the vowel event, and the time delay distribution of each vowel position is statistically scored．

zh-cn	最后由韵母发音事件音唇匹配度得分与位置时延分析评分相融合的评分机制判决一致性。
en-us	A consistency judgment is made by a scoring mechanism in which the vowel pronunciation event lip matching score and the position delay analysis score are combined.

zh-cn	实验结果表明，本文算法在识别性能上优于多种比较算法，且与传统字典法相比降低了一定的运算量。
en-us	Experimental results show that the proposed method is superior to compared algorithms in recognition performance and reduces the amount of computation compared with the traditional dictionary method．

zh-cn	为优化三相逆变器的效率，提出了一种具有低能耗辅助电路的三相谐振极逆变器，其各相桥臂上分别设置了辅助电路。
en-us	In order to optimize the efficiency of three-phase inverter, a three-phase resonant inverter with low-loss auxiliary circuit is proposed, in which auxiliary circuit is set up on the bridge arm of each phase.

zh-cn	在辅助电路工作时，主开关可实现零电压软切换，辅助开关可实现零电流软切换，使开关损耗明显降低。
en-us	When the auxiliary resonant circuit works in the commutation process of the inverter, the main switches can achieve zero-voltage soft-switching, and the auxiliary switches can achieve zero-current soft-switching． The switching loss is obviously reduced．

zh-cn	此外，在辅助电路的谐振状态结束之后，谐振电感中的剩余电能将只通过 1 个二极管回馈给储能电容，降低了电能回馈时的辅助电路损耗，有利于实现辅助电路的低能耗。
en-us	In addition, after the resonance state of the auxiliary circuit ends, the remaining electric energy in the resonant inductance will be fed back to the energy-storage capacitance through only one diode, reducing the loss of the auxiliary circuit when the electric energy is fed back, which is beneficial to the realization of the low-loss of the auxiliary circuit．

zh-cn	说明了电路的工作流程。
en-us	In this paper, the working flow of the circuit is illustrated．

zh-cn	实验波形显示主开关和辅助开关能完成软切换。
en-us	The experimental waveforms show that both the main switch and the auxiliary switch achieve soft-switching．

zh-cn	该研究成果对于研发高效率三相逆变器具有参考意义。
en-us	The research findings have reference for the research and development of high-efficiency three-phase inverter．

zh-cn	容器技术以其轻便、灵活和快速部署等特点提高了应用分发部署效率。
en-us	Container technology improves the efficiency of application distribution and deployment with its features of lightness, flexibility and rapid deployment．

zh-cn	然而，资源隔离性低和共享内核的特性却给容器和云平台引入了新的安全风险。
en-us	However, the characteristics of low resource isolation and shared kernel introduce new security risks to containers and cloud platforms．

zh-cn	本文提出了一种基于系统调用序列和长短期记忆(Long Short-TermMemory，LSTM)神经网络的容器内进程异常行为检测方案，通过无代理监控模式采集进程全生命周期的系统调用序列数据，并利用 LSTM 捕获序列的语义特征，同时采用局部窗口内累积偏差的方式，提出了两种异常判决方法。
en-us	This paper proposes an anomaly detection scheme of processes behavior in container based on system call sequences and long short-term memory (LSTM) neural network, the scheme collects the system call sequence data of the whole life cycle of processes through the agentless monitoring mode, and uses LSTM tocapture the semantic features of sequences. At the same time, two methods of abnormal decision are proposed by means of cumulative deviation in local window．

zh-cn	此外，为优化模型训练效率，设计了一种短序列样本同比去重算法。
en-us	Furthermore, in order to optimize the training efficiency of the model, an algorithm for removing duplicate short sequence samples with the same ratio is designed．

zh-cn	在公开数据集和复现的实际攻击场景下的实验结果表明，该方案能有效检出容器内进程的异常行为，且检测效果优于同类的其它方法。
en-us	The experimental results on the public dataset and real attack scenarios show that the scheme can effectively detect the abnormal behavior of processes in container, and the detection performance is better than other similar methods．

zh-cn	图聚集技术是在保留原始图的结构和属性信息的同时，将一个大规模图聚集成简洁的小规模图的技术。
en-us	Graph aggregation is a technology that aggregates a large-scale graph into a compact and small-scale graph while retaining the structure and attribute information of the original graph．

zh-cn	随着图的规模不断增加使得图数据变得难以查询和存储，而基于距离的查询，例如最短路径查询，非常依赖图的规模大小。
en-us	With the increasing size of graph, graph data becomes difficult to query and store． Distance-based queries, such as shortest path queries, depend heavily on the size of graph．

zh-cn	本文提出了面向距离查询的属性加权图聚集算法，在保证节点之间结构和属性相似的同时，保护了节点之间的距离，并有效地减小了图规模。
en-us	In this paper, a distance query-oriented attribute weighted graph aggregation algorithm is proposed, which not only guarantees the similarity of structure and attributes between nodes, but also preserves the distance between nodes, and effectively reduces the size of the graph．

zh-cn	实验证明本文方法的有效性与在查询任务上的高效性。
en-us	The experiments prove that this method is effective and efficient in the query tasks．

zh-cn	随着移动互联网技术的迅速发展，传统的推荐系统已不能很好地适应基于位置的推荐服务，同时也面临隐私泄露的问题。
en-us	With the rapid development of mobile Internet technology, the traditional recommender system has not been well adapted to the location-based recommendation service, and it also faces the risk of privacy leaks.

zh-cn	本文针对上述问题，首先提出一种分布式隐私保护推荐框架，并利用差分隐私保护理论，设计基于分布式框架的奇异值分解推荐算法，同时利用保序加密函数实现用户请求位置的保护。
en-us	In this paper, a distributed privacy preserving recommendation framework is proposed, and a singular value decomposition recommendation algorithm based on distributed framework is designed by using the differential privacy theory. Furthermore, we use order preserving encryption function to protect user request location．

zh-cn	理论分析和在两个真实的数据集上的实验表明，本文提出的方法不仅具有较强隐私保护能力，同时相比传统的几种推荐算法，也具有较好的推荐性能。
en-us	Theoretical analysis and experiments on two real datasets show that the proposed method not only has stronger privacy protection ability, but also has better recommendation performance than traditional recommendation algorithms．

zh-cn	提出一种基于空间差分技术的近场源方位角和距离联合估计新算法。
en-us	An algorithm for estimation of direction of arrival (DOA) and range of near field source based on the spatial differential technique is proposed in this paper．

zh-cn	算法利用平稳噪声协方差矩阵关于主对角线对称的特点，构造近场源定位模型下的空间差分矩阵。
en-us	The algorithm firstly utilizes the feature that the stationary noise covariance matrix is symmetrical about the main diagonal and constructs the spatial difference matrix only containing the target signal location information．

zh-cn	推导并证明了该矩阵的谱分解特性，以此为基础确定噪声子空间，借助谱峰搜索实现定位参量估计。
en-us	Then, it proves the distribution characteristics of the matrix eigenvalues and selects the noise sub-space reasonably． Finally, the DOA and range estimations for near-field sources can be obtained through the spectral searching．

zh-cn	算法通过对消噪声分量有效降低了未知平稳噪声对定位精度的影响，同时避免了应用差分技术解决信源定位时出现的伪峰问题。
en-us	The algorithm can effectively suppresses the unknown stationary noise and avoid the pseudo peak problems for the application of the spatial differential method when used to solve the source localization．

zh-cn	均方根误差的仿真结果证明了算法的有效性。
en-us	Computer simulations confirm the satisfactory performance of the proposed algorithm．

zh-cn	基于单一边缘节点计算、存储资源的有限性及大数据场景对高效计算服务的需求，本文提出了一种基于深度强化学习的云边协同计算迁移机制。
en-us	Based on the computation and storage resources limitation of single edge node and the demand for efficient computing services in big data scenarios, this paper proposes a deep reinforcement learning based cloud-edge collaborative computation offloading mechanism．

zh-cn	具体地，基于计算资源、带宽和迁移决策的综合性考量，构建了一个最小化所有用户任务执行延迟与能耗权重和的优化问题。
en-us	Specifically, based on a comprehensive consideration of computing resources, bandwidth and offloading policy, an optimization problem is formulated to minimize the weight sum of execution delay and energy consumption of all user tasks．

zh-cn	基于该优化问题提出了一个异步云边协同的深度强化学习算法，该算法充分利用了云边双方的计算能力，可有效满足大数据场景对高效计算服务的需求；
en-us	An asynchronous cloud-edge collaborative deep reinforcement learning (ACEC-DＲL) algorithmis proposed to solve such optimization problem. This algorithm can effectively satisfy the demand of efficient computing services in big data scenario by jointly leveraging the computation capabilities of cloud and edge nodes．

zh-cn	同时，面向边缘云中边缘节点所处环境的多样及动态变化性，该算法能自适应地调整迁移策略以实现系统总成本的最小化。
en-us	Meanwhile, underthe various and dynamic environments of edge nodes in the edge cloud, this algorithm can adaptively adjust offloading policyto achieve the minimization of system cost.

zh-cn	最后，大量的仿真结果表明本文所提出的算法具有收敛速度快、鲁棒性高等特点，并能够以最低的计算成本获得近似贪心算法的最优迁移决策。
en-us	Finally, the extensive simulation results show that the proposed ACEC-DＲL algorithm has the characteristics of fast convergence rate and high robustness, and its optimal offloading policy closely approximates to the solution of greedy algorithm with the lowest computation cost．

zh-cn	安全多方计算是密码学界的一个重要研究方向，本文主要研究区间的安全计算问题。
en-us	Secure multi-party computation (SMC) is an important research direction of cryptography. In this paper, we study the secure computation of intervals．

zh-cn	首先应用 Paillier加密方案设计“点与区间”以及“区间与区间”关系两方保密计算基础协议，协议的特点是判定结果以密文形式输出。
en-us	Using the Paillier encryption scheme, we design the protocols of relationship between an interval and a point (or an interval). Firstly, the outputs of protocols are ciphertexts.

zh-cn	将其推广为有理区间关系判定协议时，相比已有协议，本文协议更为安全与高效。
en-us	If we extend it to rational intervals, the protocols are safer and more efficient than existing protocols．

zh-cn	在此基础上，进一步研究多维度的“点与区间”以及“区间与区间”关系阈值判定这一类新问题。
en-us	And then, we study the multi-dimensional problems, that is, the threshold problems of multiple points (or intervals) and intervals, which are new problems in SMC.

zh-cn	由于基础协议的输出结果为密文，故以此为基础所设计的多维度问题协议更加安全。
en-us	Since the outputs of the basic protocols are ciphertexts, the multi-dimensional problem protocols are more secure.

zh-cn	最后，应用模拟范例方法严格证明了协议的安全性，并对协议进行了效率分析及模拟实验，理论分析及实验结果都说明本文协议是高效的。
en-us	We strictly prove the security of the protocols using the simulation paradigm method, analyze and demonstrate the efficiency of the protocols through experiments,  and compare with the related work to illustrate that the protocols are efficient．

zh-cn	视频目标检测跟踪算法一直是计算机视觉领域的研究热点，目前大部分方法均需人工采集样本训练检测模型，搭建目标检测跟踪系统． 当目标成像条件发生变化时，需重新采集样本，训练模型，调试整个检测跟踪系统，耗费大量人力、物力。
en-us	Video object detection and tracking algorithms have become the research focus in the field of computer vision. Traditional methods need to manually collect samples to train detection models, and build object detection and tracking systems. When the imaging conditions change, it is necessary to recollect samples to train the detection model and re-adjust the entire detection and tracking system, which requires tedious human efforts．

zh-cn	本文提出一种基于少量样本学习的多目标检测跟踪算法，只需在监控视频第一帧指定待检测目标，即可自主生成混合分类模型，进行目标检测。
en-us	In this paper, a multi-object detection and tracking algorithm is proposed based on few-shot learning. With this approach, a hybrid classifier that models one object class can be generated by simply marking several bounding boxes around the object in the first video frame．

zh-cn	采用在线渐进学习算法学习目标姿态变化，更新该模型． 结合基于颜色的目标跟踪算法，自动构建高精度目标检测跟踪系统．整个过程无需手工采集、标注训练样本。
en-us	An online gradual learning algorithm is proposed to learn the object pose changes and update the model. Combined with the color-based object tracking algorithm, our method automatically builds high-precision object detection and tracking systems without manual collection and labeling training samples．

zh-cn	因此，易于扩展到其它监控场景，通过自主学习形成该场景专用的检测跟踪系统，实现不同监控环境下，不同成像条件下都有较好的检测跟踪效果。
en-us	This approach can be conveniently replicated many times in different surveillance scenes and produce scene-specific detectors under various camera viewpoints．

zh-cn	实验表明，本方法能自主学习多种监控场景下的目标姿态，无需手工标注训练样本，在基于在线学习的算法中有最佳的检测精度，此外也取得了和离线目标检测跟踪系统相似的性能。
en-us	Experimental results on several video datasets show our approach achieves comparable performance to robust supervised methods, and outperforms the state-of-the-art online learning methods in varying imaging conditions．

zh-cn	基于软件定义智能层次化模型设计了一种睡眠动作识别系统，该系统可通过规则推理来应对智能环境中的各种变化因素。
en-us	Based on the hierarchical model of SDI (Software-Defined Intelligence), a system for action recognition during sleep is designed to deal with various changing factors in smart environment through rule-based reasoning．

zh-cn	设计了一种时间队列实时提取动作特征来训练模型，提出了一种规则提取算法从该模型中提取系统所需规则。
en-us	A time queue is designed to extract the characteristics of actions in real-time to train the model, and a rule extraction algorithm is proposed to extract the rules required by the system from the model．

zh-cn	该系统基于这些规则可识别 9 种睡眠动作，每种动作的识别精确率均可达到 96% 以上，总识别准确率达到 98. 9% ，且比其它系统适应性更强。
en-us	Depending on these rules, the proposed system can recognize nine types of sleep actions: the recognition precision of each type can exceed 96% ; the total recognition accuracy canreach 98. 9% . Importantly, it has more robust adaptability than other systems．

zh-cn	实验结果表明，该系统通过更新规则可快速应对节点位置、节点数量和用户需求的变化。
en-us	Experimental results show that the system can update rules for quickly adapting to changes in node position, the number of nodes, and user requirements．

zh-cn	随着区块链技术在社会经济领域的应用不断扩大，区块链的安全问题受到越来越多的关注。
en-us	With the expansion of the application of blockchain technology in the socio-economic fields, increasing attention has been paid to the security of blockchain．

zh-cn	本文提出了一种新的区块链安全风险评估方法，分别从技术架构和算力两方面量化区块链的安全风险。
en-us	This paper proposes a security risk assessment method for blockchain, which quantifies the security risk of blockchain from the aspects of technical architecture and hash rate．

zh-cn	我们首先根据区块链技术体系架构建立了区块链可信计算基(Blockchain Trusted Computing Base，BTCB)，进而设计了一种结合层次分析(An-alytic Hierarchy Process，AHP)和配对比较的安全敏感性分析方法，为每个安全风险影响因素分配权重，最终构造了一个区块链的安全风险评估模型。
en-us	At first, we build the Blockchain Trusted Computing Base (BTCB) model based on the technology architecture. Then, we design a sensitivity analysis method combined the AHP and paired comparison to assign security weights to each security risk factor. Finally, we construct a security risk assessment model．

zh-cn	在实验部分，我们采用该模型为当下 15 个常见公有链区块链项目打分，并与市场认可度较高的四家区块链评级机构的评测数据进行对比分析，实验结果表明我们的模型具有一定的可行性。
en-us	In the experimental part, we use this model to score 15 common public-chain blockchain projects, and conduct comparative analysis with the evaluation data of four blockchain rating agencies with highmarket recognition. The experiment results verify the feasibility of this method．

zh-cn	针对无线通信中的同频信号干扰问题，受信号稀疏表示及循环平稳特性启发，本文通过建立位置坐标的样本集合，构造字典矩阵，采用优化方法在循环频域实现稀疏信号重建，利用接收到信号的循环谱切片直接估计发射源位置。
en-us	Toward the co-channel signal interference problem in wireless communications, inspired by sparse representation and cyclostationary characteristics, the dictionary matrix is constructed by establishing the sample set of position co-ordinates, and the sparse signal is reconstructed in cyclic frequency domain using optimization method. Then, the position of the transmitter is directly determined from the cyclic spectrum slice of the received signal．

zh-cn	仿真结果表明，该所提算法的定位误差接近于推导的克拉美劳下界，在低信噪比和信干比条件下优于现有的频域直接定位和两步定位算法，具有更高的定位精度。
en-us	Simulation results show that the localization performance of the proposed algorithm is close to the derived Cramer-Rao lower bound, and outperforms the existing frequency domain direct localization algorithm and two-step localization algorithm, especially in cases of low signal-to-noise ratios and signal-to-interference ratios．

zh-cn	文章从几何的视角出发，以四点二重插值细分格式的几何解释为基础，对四点三重插值细分格式的几何意义进行分析，改造格式使其融合逼近细分，进而得到一类带参数的混合型三重细分格式。
en-us	From the perspective of geometry, based on the geometric interpretation of the four-point binary interpolating subdivision scheme, this paper analyzes the geometric meaning of the four-point ternary interpolating subdivision scheme, and modify the scheme to combine approximating subdivision; then a blending ternary subdivision scheme with parameters is obtained．

zh-cn	诸多已有的插值型细分和逼近型细分都是该格式的特例，采用生成多项式方法分析了其 Ck连续性。
en-us	Many existing interpolating subdivision schemes and approximating subdivision schemes can be seen as special cases of this scheme． We also use generating polynomial method to analyze the Ck continuity of limit curve produced by the blending subdivision．

zh-cn	得到了一种新的 C4连续五点三重曲线细分格式。
en-us	A new C4 continuous five-point ternary curve subdivision scheme is obtained．

zh-cn	数值实例表明，利用提出的混合型细分法通过参数的适当选取可以实现对极限曲线的形状控制。
en-us	Numerical examples show that the proposed blending subdivision scheme can be used to control the shape of limit curves by selecting appropriate parameters．

zh-cn	覆盖是评价视频传感器网络对监测区域感知质量的重要指标。
en-us	Coverage is an important metric for evaluating the sensing quality of visual sensor networks (VSNs)．

zh-cn	与传统的覆盖问题不同，随着目标的移动，全视角覆盖需要从任意方向捕捉到目标的有效正面，其覆盖估计问题也更加复杂。
en-us	Unlike traditional coverage issues, full-view coverage requires to capture target's effective face from any direction, and its coverage estimation issue is more complicated．

zh-cn	目前，大量的研究工作主要假设同构节点随机部署在监测区域内以实现全视角覆盖，本文研究异构视频传感器网络全视角覆盖估计问题，为消除边界效应，提出了扩展监测区域及最大探测区域的概论，并推导出目标全视角覆盖估计模型，通过实验对场景仿真值及模型理论值进行比较分析，结果表明它们之间的平均绝对覆盖误差基本保持在 6. 5% 以内。
en-us	At present, most of literatures assume that a great number of homogeneous visual sensors are randomly scattered in the monitoring area to achieve full-view. This paper studies the full-view estimation problem in heterogeneous VSNs. In order to eliminate the boundary effect, the concepts of extended monitoring area and maximum detection area are introduced. To evaluate the performance of the proposed full-view estimation expression，several simulation experiments are conducted to validate the theoretical results. The results show that the mean absolute coverage error between the theoretical values and the experimental values is controlled less than 6. 5% ．

zh-cn	利用大功率高频(HF)电波调制加热电离层可在电离层中有效形成辐射源，并用于辐射 ELF 电磁波．本文基于磁流体力学的基本方程通过对电离层中极低频(ELF)辐射源的辐射场分析，获得 ELF 电磁波在电离层中传播的色散关系式，建立电离层中的 ELF 辐射源向下传播衰减模型。
en-us	Sources and resultant radiations of extremely low frequency (ELF) electromagnetic waves can be effectively generated via modulated heating of the ionosphere by powerful high-frequency (HF) waves. With fundamental equations of magneto-hydrodynamics, the radiation field of the ELF radiation source in the ionosphere is derived. The dispersion relation of ELF waves propagating in the ionosphere is then obtained and the downward propagation at tenuation model is established．

zh-cn	并依据建立的传播衰减模型，分析不同纬度地区传播衰减的差异，以及传输频率和背景电离层参数对传播衰减的影响。
en-us	According to this model, the differences of propagation attenuation in distinct latitudes and influences of transmitting frequency and ambient ionospheric parameters on propagation attenuation are analyzed．

zh-cn	大数据应用能够为人们的生活和工作方式提供便捷，但包含消费记录、社交关系、地理位置等个人隐私信息的数据在发布过程中可能被服务提供商收集，用户隐私面临巨大威胁。
en-us	Big data applications provide convenience for people's life and work style, but in the process of data publishing, personal privacy information, such as consumption records, social relations, and so on, are collected by service pro-viders all the time, and users' privacy is threatened greatly．

zh-cn	本文首次提出了一个基于神经网络的多集群分布式差分隐私数据发布方法，能够显著缓解单服务器的数据处理压力．同时，利用神经网络算法进行隐私参数预测明显提高了预测精度和预测效率，并且集群之间不同的隐私参数也保证了方案的灵活性。
en-us	Aiming at the significant relief of data processing pressure on single server, we propose a multi-cluster distributed differential privacy data publishing method based on neural network (MCDP),  which effectively improves the prediction accuracy and efficiency, and different privacy parameters between clusters guarantee the flexibility of the protocol．

zh-cn	此外，由于中心服务器存储的是经过差分隐私处理后的统计数据，即使中心服务器由于遭受攻击导致存储的数据泄露，也能确保用户数据隐私。
en-us	Especially, because the central server stores statistical data after differential privacy processing, it does not collect individual privacy data, even if the central server is attacked, the user data will not be leaked.

zh-cn	实验对比分析表明，我们的方法在隐私处理效率、隐私保护强度、预测精度和预测效率等方面都有明显优势。
en-us	Experiments show that MCDP has obvious advantages in privacy processing efficiency, privacy protection intensity, prediction accuracy and prediction efficiency．

zh-cn	图数据的处理面临庞大规模和复杂结构的制约。
en-us	The processing of graph data is restricted by large scale and complex structure．

zh-cn	图的概要化，旨在寻找一组简洁的超图或稀疏图，阐明原始图的主要结构信息或变化趋势。
en-us	The graph summarization is to find a set of simple hyper-graphs or sparse graphs that clarify the main structural information or change trend of the original graph．

zh-cn	针对属性图提出了基于编辑行为码的概要模型，遵循最小描述长度原理(Mini-mum Description Length，MDL)，将结构的相似性和属性的相似性统一为存储代价，构建编辑行为码。
en-us	According to the principle of minimum description length (MDL), a summary model based on edit coding is proposed for attribute graphs, which unifies the similarity of structure and attribute as storage cost to construct editing behavior code．

zh-cn	在此模型基础上提出了 Greedy 算法和 Random 算法，存储属性和结构的编辑信息，生成高质量的超图，并支持原始图的重构。
en-us	Based on this model, a greedy algorithm and a random algorithm are proposed, which store the editing information of attribute and structure, generate high-quality hyper-graphs, and support the reconstruction of original graphs．

zh-cn	实验结果表明本文提出的概要模型和算法相比于其他图概要算法，在压缩率和时间代价等指标上具有一定的优越性。
en-us	The experimental results show that the proposed model and algorithms in this paper have some advantages over other summarization algorithms in terms of compression rate and time cost．

zh-cn	针对传统稀疏解混方法对丰度的稀疏性表征不充分及空间信息利用率低等问题，本文在分析迭代加权稀疏解混方法的基础上，提出了一种基于光谱加权协同稀疏和全变差正则化的高光谱解混方法。
en-us	In this work, we proposed a hyperspectral unmixing method based on the spectrally weighted collaborative sparsity and the total variation, aiming at alleviating the lack of the sparsity of abundance in traditional methods and fully exploiting the spatial information．

zh-cn	该方法一方面在协同稀疏解混的基础上引入光谱加权因子进一步刻画丰度系数的行稀疏性，以促进所有像元之间的联合稀疏性;
en-us	On the one hand, the spectral factors are utilized to estimate the weights in order to enforce the sparsity of nonzero rows, thus improving the collaborative sparsity among all the pixels．

zh-cn	另一方面引入各向异性全变差空间正则化促进图像同质区域的平滑性，以提高解混的准确性。
en-us	On the other hand, the total vari-ation based spatial regularization is employed to reinforce the smoothness within the homogenous regions, hence improving the accuracy of unmixing．

zh-cn	通过交替方向乘子法求解该模型，通过迭代，利用内外部双循环迭代方法对光谱加权因子和丰度系数进行优化。
en-us	The model is solved by the well-known alternating direction method of multiplier, in which the spectral factor based weights and the abundance coefficients are iteratively optimized using both the internal and external loops．

zh-cn	模拟和真实的高光谱数据实验结果均表明本文提出的算法与现有同类算法相比能大幅提高混合像元分解的精度，在稀疏解混方面展现出了巨大的潜力。
en-us	The experimental results obtained from the simulated and the real datasets indicate that the proposed method could significantly improve the performance of unmixing compared to the other state-of-the-art methods．

zh-cn	癫痫是一种常见的脑部疾病，通过脑电图能非侵入地定位人脑中的致痫区域。
en-us	Epilepsy is a recurrent cerebral disease, and electro encephalogram (EEG) provides a non-invasive way toidentify epileptogenic sites in the brain．

zh-cn	为了辨别病灶性和非病灶性癫痫脑电信号，文章提出一种基于变分模态分解的癫痫脑电信号自动检测方法，首先将原信号分割成多个子信号，并对各子信号进行变分模态分解，然后从分解后的不同变分模态函数中提取精细复合多尺度散布熵和精细复合多尺度模糊熵两个特征并利用支持向量机进行分类。
en-us	In order to distinguish focal and non-focal epilepsy EEG signals, this paper proposes an automated epileptic EEG detection method based on variational mode decomposition． Firstly, the original signals are divided into several sub-signals, which are decomposed into intrinsic mode functions by using the variational mode decomposition (VMD).   Furthermore, refined composite multiscale dispersion entropy (RCMDE) and refined composite multiscale fuzzy entropy (RCMFE) are extracted from each intrinsic mode function. Finally, the support vector machine (SVM ) isused to classify characteristics.

zh-cn	针对癫痫脑电的公共数据集，最终的实验结果表明，准确率、灵敏度和特异度三个性能指标分别达到 94. 24% ，95. 58% 和 90. 64% ，ROC 曲线下面积达 0. 978。
en-us	For an epilepsy EEG signals' public data set, the final experimental performance measures of accuracy, sensitivity, and specificity reach 94. 24% , 95. 58% and 90. 64% respectively, and the area under the ROC curve is 0. 978.

zh-cn	鉴于 Single Shot Multibox Detector (SSD)算法对中小目标检测时会出现漏检甚至错检的情况，提出一种改进的 SSD 目标检测算法，以提高中小目标检测的准确性。
en-us	Considering that the single shot multibox detector (SSD) algorithm will be missed or even false when it isused to detect the small and medium-sized objects, an improved SSD object detection algorithm is proposed to improve the accuracy of small and medium-sized objects detection．

zh-cn	运用 Gradient-weighted Class Activation Mapping (Grad-CAM)技术对检测过程中的细节作可视化处理，并以类激活图的形式呈现各检测层细节，分析各检测层的类激活图发现 SSD 算法中待检测目标的错检以及中小目标的漏检现象与回归损失函数相关。
en-us	The details in the detection process are visualized with gradient-weighted class activation mapping (Grad-CAM) technology, and the details of each detection layer are shown in the form of class activation maps. Then it is noted that the phenomenon of the false or missed detection of the objects to be detected onsmall and medium-sized objects in the SSD algorithm is related to the regression loss function.

zh-cn	据此，采用 Kullback-Leibler (KL)边框回归损失策略，利用 Non Maximum Suppression (NMS)算法输出最终预测框。
en-us	Accordingly, Kullback-Leibler (KL) border regression loss strategy is adopted and non- maximum suppression (NMS) algorithm is used to output the final prediction boxes．

zh-cn	实验结果表明，改进算法相较于已有检测算法具有更高的准确率以及稳定性。
en-us	Experimental results show that compared with the existing detection algorithms, the improved algorithm in this paper has higher accuracy and stability．

zh-cn	采用平面栅 MOSFET 器件结构，结合优化终端场限环设计、栅极 bus-bar 设计、JFET 注入设计以及栅氧工艺技术，基于自主碳化硅工艺加工平台，研制了 1200V 大容量 SiC MOSFET 器件。
en-us	Based on CRRC silicon carbide (SiC)process technology platform, 1200V high capacity SiC metal-oxide semiconductor field-effect transistor (MOSFET) device has been fabricated by adopting ion-implanted JFET region, the optimal termination design, gate bus-bar design and gate oxidation process. The fabricated SiC MOSFET is based on a planargate structure.

zh-cn	测试结果表明，器件栅极击穿电压大于 55V，并且实现了较低的栅氧界面态密度。
en-us	The test results show that the gate breakdown voltage of the device is above 55V and it achieves a relatively lower interface state density．

zh-cn	室温下，器件阈值电压为 2. 7V，单芯片电流输出能力达到 50A，器件最大击穿电压达到 1600V。
en-us	At room temperature, the threshold voltage of the device is 2. 7V. The maximum blocking voltage and the output current capability of fabricated SiC MOSFET is up to 1600V and 50A, respectively．

zh-cn	在 175℃ 下，器件阈值电压漂移量小于 0. 8V;栅极偏置 20V 下，泄漏电流小于 45nA。
en-us	At 175℃ , the threshold voltage shift is less than 0. 8V, and the gate leakage current of the device is less than 45nA when the gate voltage is 20V．

zh-cn	研制器件显示出优良的电学特性，具备高温大电流 SiC 芯片领域的应用潜力。
en-us	All of the results show that the fabricated SiC MOSFET has superior electrical characteristics. It occupies a potential inhigh temperature and high power applications．

zh-cn	构建准确的空间磁场是实现地磁室内定位的基础，针对传统构建模型未考虑磁场分布规律，导致其构建磁场精度差的问题，本文提出了基于磁势梯度与高斯过程的磁场构建方法。
en-us	Modeling the spatial magnetic field precisely is the basis for the geomagnetism-based indoor localization and tracking system. Traditional magnetic constructing schemes ignore the distribution of magnetic field, which causes low accuracy of the constructing magnetic field. To deal with this problem, this paper presents a magnetic field modeling method based on the gradient of the magnetic potential and Gaussian processes．

zh-cn	首先，将磁势梯度和磁场的关系中引入高斯过程，并用平方指数核函数的空间梯度与地球磁场分布的方差和作为高斯过程核函数;
en-us	Firstly, the relationship between the gradient of themagnetic potential and magnetic field is introduced into the Gaussian processes. Furthermore, the sum of the squared exponential kernel spatial gradient and geomagnetic offset field distribution variance is used as the kernel function of the Gaussian processes．

zh-cn	然后，将带有约束的超参数优化问题转换为无约束优化问题，并利用 Rprop 算法优化超参数;
en-us	By transforming the constrained hyperparameters optimization problem into an unconstrained optimization problem, we employ the Rprop algorithm to estimate the hyperparameters．

zh-cn	最后，通过仿真分析了新方法相比于传统方法的优势，讨论了超参数对构建精度的影响，并且使用三轴矢量磁传感器，分别在小区域较强磁场异常环境、开阔区域强磁场异常环境和弱磁场异常环境中开展磁场构建实验，结果证明提出的方法能够用于真实环境下空间磁场的准确构建。
en-us	Finally, simulations are implemented to analyze the advantage of proposed method over traditional methods, and the impact of the hyperparameters on magnetic discernibility is also discussed. In addition，we carry out magnetic field constructing tests using a triaxial vector magnetic sensor in different environments, including small area relatively strong magnetic field distorted environment, strong magnetic field distorted environment, and open area weak magnetic field distorted environment, to validate the performance of the proposed method indifferent real environments. The results of the experiments prove that the proposed scheme works well in practical applications．

zh-cn	针对数据中心网络在“多对一”并发流量模式下，TCP(Transmission Control Protocol)及其现有改进方案在单轮数据传输和多轮数据传输下吞吐率低下问题，提出了一种通过数据包标记实现丢包快速发现和快速重传并动态调整拥塞窗口初始值的策略，称为 TSL(TCP SkyLine)。
en-us	In the "many-to-one" concurrent traffic pattern of the data center networks，TCP (Transmission Control Protocol) and its existing improvements have low throughput in single-round and multi-round of data transmission scenarios. Hence, a strategy called TSL (TCP SkyLine) is proposed for fast discovering and retransmitting the lost packets through packet labelling and adjusting the initial size of the congestion window dynamically．

zh-cn	TSL 同时解决了传统 TCP Incast 问题和多轮数据传输下由遗留窗口引发的 TCP Incast 问题。
en-us	TSL solves the traditional TCP Incast problem and the TCP Incast problem caused by the legacy window in multi-round of data transmission．

zh-cn	实验表明，TSL 在单轮数据传输和多轮数据传输下均能获得 90% 以上的带宽利用率。
en-us	Through extensive experiments we show that TSL can achieve more than 90% goodput regardless of single or multiple rounds of data transmission．

zh-cn	在 10Gbps 网络中，其支持的并发连接数与传统 TCP 和 DCTCP 相比分别提升了 5 倍和 1 倍，有效吞吐率分别提升了 18倍和 8. 6 倍;
en-us	In a 10Gbps network, the number of concurrent connections supported by TSL has increased by 5 times and once respectively compared to the traditional TCP and DCTCP, and the goodput has increased by 18 times and 8. 6 times respectively．

zh-cn	在 1Gbps 网路中，支持的并发连接数较传统 TCP 和 DCTCP 分别提升了 5. 8 倍和 1 倍。
en-us	In a 1Gbps network, the number of concurrent connections supported by TSL has increased by 5. 8 times and once respectively compared to the traditional TCP and DCTCP.

zh-cn	基于元胞自动机(CA)的 S 盒密码学性质良好且软硬件实现代价低，被用于 Keccak、SIMON 等密码算法。
en-us	Cellular automata (CA) based S-boxes are the type of S-boxes with good cryptography and low cost of hardware as well as software implementation, which are used in Keccak, SIMON, and other cryptographic algorithms.

zh-cn	本文研究了基于 CA 的 S 盒的性质，给出并证明了此类 S 盒的三个重要性质:移位不变性、镜面对称性和互补性;
en-us	This paper studied the properties of CA-based S-boxes, and the three important properties were given and proved, including shifti nvariance, mirror symmetry and complementarity．

zh-cn	同时研究了基于 CA 的 S 盒的神经网络实现方法，指出相比一般的 S 盒，基于 CA 的 S 盒在进行神经网络实现时可以用更简单的结构、消耗更少的资源来完成，并且给出了一种权重阈值搜索算法可以方便快速地实现基于 CA 的 S 盒的神经网络结构。
en-us	Meanwhile, the neural network implementation for CA-based S-boxes was studied, which demonstrated that the CA-based S-boxes could be implemented with simpler structure and less resources than the general one. In addition, a weight threshold search algorithm which could easily and quickly implement the neural network structure of CA-based S-boxes was shown．

zh-cn	现有深度卷积神经网络中感受野尺度单一，无法适应目标的尺度变化和边界形变，故此本文提出了一种提取并融合多尺度特征的目标检测网络。
en-us	In the existing deep convolution neural network, the scale of receptive field is single, which could not adapt to the scale change and boundary deformation of the target. Therefore, a target detection network based on multi-scale feature extraction and feature fusion is proposed in this paper．

zh-cn	该网络通过减少池化并在网络底层加入空间加信道压缩激励模块来突出可利用的细节信息，生成高质量的特征图;
en-us	The proposed network reduces pooling and adds space as well as channel compression excitation module at the bottom of the network to highlight the details and generate high-quality feature map．

zh-cn	此外，在深层网络中加入可变多尺度特征融合模块，该模块具有多种尺度的感受野并可根据物体边界预测采样位置，最后通过融合多尺度特征使网络具有更强的特征表达能力并且对不同尺度实例及其边界信息更具鲁棒性。
en-us	Besides, a variable multi-scale feature fusion module is added to the deep network, which has a multi-scale receptive field and can predict the position according to object boundary. Finally, the multi-scale feature fusion is used to enable the network of stronger ability of feature expression and is more robust to different scale and flexible boundary of instances．

zh-cn	实验证明，本文结构实现了比原有结构更高的平均精度，与目前主流目标检测算法相比也具有一定优势。
en-us	Experimental results show that the proposed structure achieves higher average accuracy than the original structure, and also has certain advantages compared with the state-of-the-art algorithms．

zh-cn	车辆再识别旨在从多个摄像机拍摄的图像中识别出同一车辆。
en-us	Vehicle re-identification is the task of identifying the same vehicle across some images captured by multiple cameras．

zh-cn	本文提出了一种对群三元组损失函数，以特征中心点替代均值，并将对群思想和三元组损失相结合，优化了困难样本的识别。
en-us	We propose a coupled feature clusters embedded into triplet loss dealing with hard samples.

zh-cn	车辆再识别过程中，对群损失函数的训练过程扩大了样本规模，增加了计算量，且传统对群损失函数无法准确处理困难正样本。
en-us	During the vehiclere-identification, the coupled clusters loss suffers from larger computation consumption caused by the extension of the sample scale and the reduction of identification accuracy．

zh-cn	为此，提出了一种特征聚类对群三元组损失函数。
en-us	Therefore, the coupled feature clusters embedded into triplet loss is proposed.

zh-cn	本方法采用正样本特征聚类中心并改进了三元组损失函数的设计，从而优化了对群损失函数。在不扩增输入样本数量的同时提升了算法处理困难样本的能力。
en-us	It improves the ability of the algorithm on processing hard samples in terms of selecting feature centers of positive samples based on clustering and the embedded into a triple loss．

zh-cn	实验表明，与主流车辆再识别算法相比，本方法可有效提升车辆再识别的准确率。
en-us	Experiments show that the algorithm effectively improves the accuracy of vehicle re-identification compared to the vehicle re-identification algorithm based on coupled clusters loss．