zh-cn	在OTB2013和OTB2015数据集上的实验结果表明，与当前5种主流跟踪算法相比，该文算法的跟踪精度和成功率具有明显优势，不仅在尺度变化、平面内旋转、平面外旋转、遮挡、光照变化情况下具有较好的跟踪效果，而且达到了46 帧/s的跟踪速度。
en-us	The experimental results on the OTB2013and OTB2015 datasets show that comparing with the 5 current mainstream tracking algorithms, the tracking accuracy and success rate of the proposed algorithm are superior. The proposed algorithm not only displaysbetter tracking effects under the conditions of scale variation, in-plane rotation, out-of-plane rotation, occlusion,and illumination variation, but also achieves real-time tracking by a speed of 46 frames per second.

zh-cn	在机器视觉领域，预测人体运动对于及时的人机交互及人员跟踪等是非常有必要的。
en-us	In the field of computer vision, predicting human motion is very necessary for timelyhuman–computer interaction and personnel tracking.

zh-cn	为了改善人机交互及人员跟踪等的性能，该文提出一种基于双向门控循环单元(GRU)的编-解码器模型(EBiGRU-D)来学习3D人体运动并给出一段时间内的运动预测。
en-us	In order to improve the performance of human–computer interaction and personnel tracking, an encoder-decoder model called Bi–directional Gated Recurrent UnitEncoder–Decoder (EBiGRU–D) based on Gated Recurrent Unit (GRU) is proposed to learn 3D human motion and give a prediction of motion over a period of time.

zh-cn	EBiGRU-D是一种深递归神经网络(RNN)，其中编码器是一个双向GRU(BiGRU)单元，解码器是一个单向GRU单元。
en-us	EBiGRU–D is a deep Recurrent Neural Network (RNN)in which the encoder is a Bidirectional GRU (BiGRU) unit and the decoder is a unidirectional GRU unit.

zh-cn	BiGRU使原始数据从正反两个方向同时输入并进行编码，编成一个状态向量然后送入解码器进行解码。BiGRU将当前的输出与前后时刻的状态关联起来，使输出充分考虑了前后时刻的特征，从而使预测更加准确。
en-us	BiGRU allows raw data to be simultaneously input from both the forward and reverse directions and then encoded into a state vector, which is then sent to the decoder for decoding. BiGRU associates the current output with the state of the front and rear time, so that the output fully considers the characteristics of the time before and after, so that the prediction is more accurate.

zh-cn	在human3.6m数据集上的实验表明EBiGRU-D不仅极大地改善了3D人体运动预测的误差还大大地增加了准确预测的时间。
en-us	Experimental results on the human3.6m dataset demonstrate that EBiGRU–D not only improves greatly the error of 3D human motion prediction but also increases greatly the time for accurate prediction.

zh-cn	针对微机电惯性导航系统(MEMS-INS)定位解算存在积累误差及低功耗蓝牙技术iBeacon指纹定位存在跳变误差等问题，该文提出一种基于无迹卡尔曼滤波器(UKF)的iBeacon/MEMS-INS数据融合定位算法。
en-us	In order to overcome the accumulation error in Micro-Electro-Mechanical System-Inertial NavigationSystem (MEMS-INS) and the jump error in iBeacon fingerprint positioning，an iBencon/MEMS-INS datafusion location algorithm based on Unscented Kalman Filter (UKF) is proposed.

zh-cn	该算法对iBeacon锚点与定位目标的距离进行解算，利用加速度计和陀螺仪的数据实现姿态阵和位置解算。
en-us	The new algorithm solves the distance between the iBeacon anchor and the locating target. The solution of attitude matrix and position areobtained respectively by using accelerometer and gyroscope data.

zh-cn	将蓝牙锚点位置向量、载体速度误差信息等组成状态量，将惯性导航定位信息和蓝牙定位距离信息等组成观测量，设计无迹卡尔曼滤波器，实现iBeacon/MEMS-INS数据融合定位。
en-us	Bluetooth anchor position vector, the carrier speed error and other information constitute state variables. Inertial navigation location and bluetooth system distance information constitute measure variables. Based on state variables and measure variables, the UKF is designed to realize iBencon/MEMS-INS data fusion indoor positioning.

zh-cn	实验测试结果表明，该算法有效解决MEMS-INS存在较大积累误差及iBeacon指纹定位存在跳变误差的问题，可以实现1.5 m内的定位精度。
en-us	The experimental results show that the proposed algorithm can effectively solve the problem of the large accumulation error of INS and the jump error of iBeacon fingerprint positioning, and this algorithm can realize 1.5 m positioning accuracy.

zh-cn	为了提高行人再识别算法的识别效果，该文提出一种基于注意力模型的行人属性分级识别神经网络模型，相对于现有算法，该模型有以下3大优点：一是在网络的特征提取部分，设计用于识别行人属性的注意力模型，提取行人属性信息和显著性程度；
en-us	In order to improve the accuracy rate of person re-identification, a pedestrian attribute hierarchy recognition neural network is proposed based on attention model. Compared with the existing algorithms, the model has the following three advantages. Firstly, the attention model is used in this paper to identify the pedestrian attributes, and to extract of pedestrian attribute information and degree of significance.

zh-cn	二是在网络的特征识别部分，针对行人属性的显著性程度和包含的信息量大小，利用注意力模型对属性进行分级识别；
en-us	Secondly,the attention model in used in this paper to classify the attributes according to the significance of thepedestrian attributes and the amount of information contained.

zh-cn	三是分析属性之间的相关性，根据上一级的识别结果，调整下一级的识别策略，从而提高小目标属性的识别准确率，进而提高行人再识别的准确率。
en-us	Thirdly, this paper analyzes the correlationbetween attributes, and adjusts the next level identification strategy according to the recognition results of theupper level. It can improve the recognition accuracy of small target attributes, and the accuracy of pedestrian recognition is improved.

zh-cn	实验结果表明，该文提出的模型相较于现有方法，有效提高了行人再识别的首位准确率，其中，Market1501数据集上，首位准确率达到了93.1%，在DukeMTMC数据集上，首位准确率达到了81.7%。
en-us	The experimental results show that the proposed model can effectively improve thefirst accuracy rate (rank-1) of person re-identification compared with the existing methods. On the Market1501dataset, the first accuracy rate is 93.1%, and the first accuracy rate is 81.7% on the DukeMTMC dataset.

zh-cn	距离旁瓣可能导致强目标掩盖弱目标以及大量虚假目标的出现，针对认知雷达旁瓣抑制问题，该文提出一种基于序列优化的方法。
en-us	Range sidelobes may lead to weak targets masked by strong targets and false alarm. This paper proposes a sequential optimization method for the sidelobe suppression of cognitive radar.

zh-cn	首先，将待测区域按距离单元进行划分，之后，基于最小均方误差准则，针对某距离单元进行发射-接收联合优化，所优化结果用于该距离单元散射点雷达截面积(RCS)的估计。
en-us	First, the region todetect is divided according to range cell. Second, the transmit waveform and receive filter are optimized jointly based on the principle of minimum mean square error against one range cell. The optimized transmit and receive systems are used in Radar Cross Section (RCS) estimation for the scatter in the current range cell.

zh-cn	上述过程在场景内各距离单元序贯进行，并将已获估计值用于后续距离单元距离旁瓣的抑制，各散射点RCS值依次以递归方式获得，并循环更新。
en-us	The above process is carried out in each range cell in the scene sequentially. The acquired RCS estimate is used inthe sidelobe suprresion for the following range cells. The RCS estimation for all the range cells in the scene is obtained in a bootstrapping way successively and updated circularly.

zh-cn	所提方法构建了一个闭环系统，根据实时反馈的场景信息调整收发系统，提高雷达对环境的感知能力，从而改善旁瓣抑制性能，提高抗噪声稳健性。
en-us	The proposed method forms a closed loopdetection system. The transmitting and receiving systems are adjusted according to the feedback scene information in real time. The sensing ability about the environment can be enhanced. The detection performance and robustness against noise can be improved.

zh-cn	仿真结果验证了所提方法的有效性。
en-us	The efficiency and validity are verified by thesimulation results.

zh-cn	目前，相当多的显著目标检测方法均聚焦于2D的图像上，而RGB-D图像所需要的显著检测方法与单纯的2D图像相去甚远，这就需要新的适用于RGB-D的显著检测方法。
en-us	Currently, many saliency-detection methods focus on 2D-image. But, these methods cannot beapplied in RGB-D image. Based on this situation, new methods which are suitable for RGB-D image are needed.

zh-cn	该文在经典的RGB显著检测方法，即极限学习机的应用的基础上，提出融合了特征提取、前景增强、深度层次检测等多种思路的新的RGB-D显著性检测方法。
en-us	This paper presents a novel algorithm based on Extreme Learning Machine(ELM), feature-extraction and depth-detection.

zh-cn	该文的方法是：第一，运用特征提取的方法，提取RGB图4个超像素尺度的4096维特征；
en-us	Firstly, feature-extraction is used for getting a feature, which contains 4-scale superpixelsand 4096 dimensions.

zh-cn	第二，依据特征提取中产生的4个尺度的超像素数量，分别提取RGB图的RGB, LAB, LBP特征以及深度图的LBE特征；
en-us	Secondly, according to the 4-sacle superpixels, the RGB, LAB and LBP feature of RGBimage are computed, and LBE feature of depth image.

zh-cn	第三，根据LBE和暗通道特征两种特征求出粗显著图，并在4个尺度的遍历中不断强化前景、削弱背景；
en-us	Thirdly, weak salient map with LBE and dark-channelfeatures are computed, and the foreground objects is strengthened in every circle.

zh-cn	第四，根据粗显著图选取前景与背景种子，放入极限学习机中进行分类，得到第1阶段显著图；
en-us	Fourthly, according to weaksalient map, both foreground seeds and background seeds are chosen, and then, put these seeds into ELM tocompute the first stage salient map.

zh-cn	第五，运用深度层次检测、图割等方法对第1阶段显著图进行再次优化，得到第2阶段显著图，即最终显著图。
en-us	Finally, depth-detection and graph-cut are used for optimizing the firststage salient map and getting the second stage salient map.

zh-cn	针对现有多输入多输出(MIMO)雷达发射波形设计方法存在运算量高的问题，该文提出一种基于原子范数的MIMO雷达发射波形设计方法。
en-us	For the fact that exsiting MIMO transmit beampattern design methods suffer from huge computational burden, a novel MIMO transmit beampattern design method based on atomic norm is proposed.

zh-cn	根据原子范数的信号模型，该算法首先选择一个具有特殊结构的发射滤波器组以及一组正交信号，将MIMO雷达发射波形设计问题转化为原子范数最小化问题，
en-us	According to the signal model of atomic norm, firstly a multi-rank transmit beamformer and a set of orthogonal signals are selected. Then the transmit beampattern matching design problem is formulated into an atomicnorm minimization problem.

zh-cn	然后采用半正定规划(SDP)对原子范数进行求解，得到(半)正定Toeplitz矩阵，并对其进行范德蒙分解实现发射滤波器组的估计，最后综合发射滤波器组与正交信号获得MIMO雷达的发射波形。
en-us	The multi-rank transmit beamformer is achieved by Vander monde decomposition method of positive semidefinite Toeplitz matrix, which is attained by the solution of the atomic norm minimization problem with Semi-Definite Programming (SDP). Finally, the transmit waveforms can be acquired from the resulting multi-rank transmit beamformer and existing orthogonal waveforms.

zh-cn	理论分析与仿真结果表明，该算法满足等能量发射准则以及小的峰均功率比(PAPR)。
en-us	The theoretical analysis and simulation results verify that the proposed method satisfies the uniform element power constraint and low Peak to Average Power Ratio (PAPR).

zh-cn	同时，该算法相比于现有算法有较低的运算量以及良好的匹配性能。
en-us	Simultaneously, compared with current methods,the proposed method has lower computational burden and comparable matching performance.

zh-cn	针对短时交通流数据的非线性和随机性特点，为提高它的预测精度和收敛速度，该文从模型构建和算法两方面提出一种整合移动平均自回归(ARIMA)模型和遗传粒子群算法优化小波神经网络(GPSOWNN)相结合的预测模型和算法。
en-us	In view of the nonlinear and stochastic characteristics of short-term traffic flow data, this article proposes a prediction model and algorithm based on hybrid Auto-Regressive Integrated Moving Average(ARIMA) and Genetic Particle Swarm Optimization Wavelet Neural Network (GPSOWNN) in order to improve its prediction accuracy and rate of convergence.

zh-cn	在模型构建方面，将ARIMA模型预测值和灰色关联系数大于0.6的相关性强的前3个时刻的历史数据作为小波神经网络(WNN)的输入，在兼顾历史数据的平稳和非平稳的情况下，进行了模型结构简化。
en-us	In terms of model construction, the ARIMA model prediction value and the historical data of the first three moments with strong correlation with gray correlation coefficient greater than 0.6 are used as input of the Wavelet Neural Network(WNN), and the structure of the model is simplified considering both the stationary and non-stationary historical data.

zh-cn	在算法方面，通过遗传粒子群算法对小波神经网络的参数初始值进行最优选取，可使其结果在不易陷入局部最优的条件下加快网络训练收敛速度。
en-us	In terms of algorithm, by using the genetic particle swarm optimization algorithm to select optimally the initial values of the wavelet neural network, the results can speed up the convergence of network training under the condition that it is not easy to fall into local optimum.

zh-cn	实验结果表明，在预测精度方面，该方法的模型明显优于整合移动平均自回归模型和遗传粒子群算法优化小波神经网络，在收敛速度方面，用遗传粒子群算法优化模型明显优于仅用遗传算法优化模型。
en-us	The experimental results show that the proposed model is superior to hybrid ARIMA and GPSOWNN in terms of prediction accuracy, the genetic particle swarm optimization algorithm is superior to the genetic algorithm optimization model in terms of convergence speed.

zh-cn	该文对轻量级分组密码算法Simeck在积分攻击下的安全性进行了研究。
en-us	The security of lightweight block cipher Simeck against integral attack is evaluated in this paper.

zh-cn	通过向前解密扩展已有的积分区分器，构造了16轮Simeck48和20轮Simeck64算法的高阶积分区分器，并在新区分器的基础上，利用等价子密钥技术和部分和技术，结合中间相遇策略和密钥扩展算法的性质，实现了24轮Simeck48和29轮Simeck64算法的积分攻击。
en-us	First, a 16-round and a 20-round high-order integral distinguisher of Simeck48 and Simeck64 are constructed by decrypting the existed integral distinguisher forward. Then, combined with the meet-in-the-middle strategy andsubkey relationship, the integral attacks on 24-round Simeck48 and 29-round Simeck64 are first proposedutilizing the equivalent-subkey and partial-sum technologies based on the new integral distinguishers.

zh-cn	攻击24轮Simeck48的数据复杂度为246，时间复杂度为295，存储复杂度为282.52；攻击29轮Simeck64的数据复杂度为263，时间复杂度为2127.3，存储复杂度为2109.02。
en-us	The data,time and memory complexity of attacking 24-round Simeck48 are 246, 295 and 282.52 while the data, time andmemory complexity of attacking 29-round Simeck64 are 263, 2127.3 and 2109.02.

zh-cn	与Simeck算法已有积分攻击的结果相比，该文对Simeck48和Simeck64积分攻击的轮数分别提高了3轮和5轮。
en-us	Compared with the known results of the integral attackon Simeck, the number of rounds of the integral attacks on Simeck48 and Simeck64 is increased by 3-round and5-round, respectively.

zh-cn	大多数可搜索加密方案仅支持对单关键词集的搜索，且数据使用者不能迅速对云服务器返回的密文进行有效性判断，同时考虑到云服务器具有较强的计算能力，可能会对关键词进行猜测，且没有对数据使用者的身份进行验证。
en-us	Most existing searchable encryption schemes only support the search for keyword sets, and the datausers can not quickly identify the file keyword information returned by the server. Meanwhile, considering the server has strong computing power, it may judge keyword information from single keywords and the identity of the data consumer is not verified.

zh-cn	方案中数据使用者与数据属主给授权服务器进行授权，从而验证数据使用者是否为合法用户；
en-us	In this paper, the data user and data owner are delegated server to verify whether the data ueer is a legitimate user;

zh-cn	若验证通过，则授权服务器利用授权信息协助数据使用者对云服务器返回的密文进行有效性检测；
en-us	if legal, the delegated server can detect the validity of the return ciphertext with data user.

zh-cn	同时数据使用者利用服务器的公钥和伪关键词对关键词生成陷门搜索凭证，从而保证关键词的不可区分性。
en-us	The data user uses the server public key, keywords and pseudo-keywords to generate trapdoor, in order to ensure the indistinguishable of the keywords, a delegated multi-keyword searchable encryption scheme is designed, which is resistant to keyword guessing of data user authentication.

zh-cn	同时数据属主在加密时，利用云服务器的公钥、授权服务器的公钥以及数据使用者的公钥，可以防止合谋攻击。
en-us	Meanwhile,when the data owner encrypts, the public key of the cloud server, the delegated server, and the data user canbe used to prevent collusion attacks.

zh-cn	最后在随机预言机模型下证明了所提方案的安全性，并通过仿真实验验证，所提方案在多关键词环境下具有较好的效率。
en-us	In the random oracle model the security of the proposed scheme is proved.The experiment results show that the scheme is efficient under the multi-keyword environment.

zh-cn	该文利用电磁超表面与微带天线的结构高度相似性，设计了2种辐射特性几乎一致且具有反射相位差异的超表面天线，通过将2种天线单元进行棋盘布阵，在x极化波和y极化波照射下分别利用相位相消及匹配负载吸收实现了天线阵带内散射能量的抑制。
en-us	A broadband metasurface antenna array with wideband low Radar Cross Section (RCS) is proposed.Two kind metasurface antennas with nearly the same radiation performance are designed and fabricated in achessboard configuration. For x -polarized incidence, the reflected energy from the two elements is dissipated based on destructive phase difference. For y -polarized incidence, the incident energy is absorbed by matchingload. By this means, inherent wideband low RCS is achieved for both polarizations without redundant structures.

zh-cn	实测与仿真结果表明：该超表面天线工作于6.0～8.5 GHz。
en-us	The proposed antenna array is fabricated and measured. Simulated and measured results show thatthe working frequency band is 6.0～8.5 GHz.

zh-cn	x极化波垂直入射时天线单站RCS减缩6 dB带宽为6.2～10.5 GHz，最大减缩量达21.07 dB。
en-us	Meanwhile under x polarization the antenna monostatic RCS isreduced significantly 6 dB RCS reduction is achieved over the range of 6.2～10.5 GHz and the peak reduction isup to 21.07 dB.

zh-cn	y极化波垂直入射时天线的带内RCS减缩依然能达到3 dB以上。且实测与仿真结果吻合良好。该设计方法为实现天线阵带内RCS减缩提供了新的设计思路。
en-us	Under y polarization the antenna monostatic RCS is reduced over 3 dB RCS reduction inbandwidth. Both measured and simulated results verify the proposed antenna array is characterized withwideband low-RCS without degrading the radiation performance.

zh-cn	用于雷电测向的正交磁环天线(OMLA)的测量精度要求不断提高，导致天线自身结构加工误差引起的测角误差(AME)进一步加大。
en-us	The measurement accuracy for lightning direction finding by the Orthogonal Magnetic Loop Antenna(OMLA) is continuously improved, which results in the Angle Measurement Error (AME) caused by theOMLA machining error increasing.

zh-cn	该文对天线自身结构加工误差与测角误差的关系建立理论模型，通过引入补偿系数和等效结构误差角度，提出一种对正交磁环天线测角误差的矫正方法。
en-us	A theoretical model is established for the relationship between themachining error and AME of OMLA. With the compensation coefficient and equivalent non-orthogonal angleerror, a AME correction method for OMLA is proposed.

zh-cn	通过实验对比3组正交磁环天线，对其常规测向结果和矫正测向结果的测角误差进行对比分析，实验表明矫正后测角误差比常规测角误差降低约50%。
en-us	The AME of the conventional measurement way and the corrected measurement way are compared through three groups of data experimentally. The experimental results show that the AME by the corrected measurement way is significantly reduced by about 50%.

zh-cn	因此该矫正方法在同等硬件条件下，可以很好地提升正交磁环天线的雷电测向精度。
en-us	Therefore, this correction method can help the OMLA with the same hardware condition to obtain higher measurement accuracy for lightning direction finding.

zh-cn	针对离散时间混沌动力学系统，该文提出一种基于矩阵特征值以及特征向量配置Lyapunov指数为正的新算法。计算离散受控矩阵的特征值以及特征向量，设计一类具有正Lyapunov指数的通用控制器，理论证明系统轨道的有界性和Lyapunov指数的有限性。
en-us	Considering discrete-time chaotic dynamics systems, a new algorithm is proposed which is based onmatrix eigenvalues and eigenvectors to configure Lyapunov exponents to be positive. The eigenvalues and eigenvectors of the discrete controlled matrix are calculated to design a general controller with positive Lyapunov exponents. The theory proves the boundedness of the system orbit and the finiteness of the Lyapunov exponents.

zh-cn	对线性反馈算子以及微扰反馈算子进行数值仿真分析，验证了算法的正确性、通用性和有效性。
en-us	The numerical simulation analysis of the linear feedback operator and the perturbation feedback operator verifies the correctness, versatility and effectiveness of the algorithm.

zh-cn	性能评估表明，与Chen-Lai算法相比，该方法可以构建较低计算复杂度的混沌系统，并且运行时间较短，其输出序列也具有较强的随机性，实现了无退化、无兼并的离散混沌系统。
en-us	Performance evaluations show that, compared with Chen-Lai methods, the proposed method can construct chaotic system with lower computation complexity and the running time is shorter and the outputs demonstrate strong randomness. Thus, a discrete chaotic system with no degradation and no merger is realized.

zh-cn	声表面波(SAW)谐振器测量技术能在高温、高压、强电磁辐射和强电磁干扰等恶劣环境下，实现无线无源的参数检测。
en-us	Surface Acoustic Wave (SAW) resonator measuring technology can be used in high temperature and high pressure, strong electromagnetic radiation and strong electromagnetic interference to realize wireless passive parameter detection.

zh-cn	针对声表面波谐振器回波信号的非平稳特点，该文提出一种回波信号的频率测量方法“数字频率有效位数跟进法”(DFSPT)。
en-us	Based on the the non-stationary characteristics of the SAW signal, a kind of echosignal frequency estimation method, Digital Frequency Significant Place Tracking (DFSPT) method is putforward.

zh-cn	仿真结果表明，该方法与现有的基于傅里叶变换法(FFT)和奇异值分解法(SVD)的方法相比，其能根据信噪比的不同，自行确定数字频率有效数字的位数，提高了频率估计的精度和稳定性。
en-us	Compared with the existing methods based on Fast Fourier Transform (FFT) and Singular ValueDecomposition (SVD), the simulation results show that the method can determine the number of significantdigits of digital frequency according to the difference of signal-to-noise ratio. Thus, it can increases stability andaccuracy.

zh-cn	无线SAW温度传感器实验表明，该方法的频率估计标准差小，鲁棒性高。
en-us	The experiment of wireless SAW temperature sensor shows that the frequency estimation standard deviation of this method is small and the robustness is high.

zh-cn	在同时同频扰中通(CJ)系统中，干扰发射机中的功率放大器(PA)工作于非线性区内，导致近端接收机接收到的自干扰(SI)信号中包含大量非线性分量。
en-us	In Cooperative Jamming (CJ) system, the Power Amplifier (PA) in the jamming transmitter works in nonlinear region, which results in a large number of nonlinear components in the Self-Interference (SI) signal received by the near-end receiver.

zh-cn	该文针对非线性干扰抑制这一问题，在接收端建立干扰非线性模型，并进行非线性模型参数估计，最终在接收信号中减去重建的非线性干扰信号，以抑制同时同频扰中通系统中的非线性干扰。
en-us	To solve the problem of nonlinear distortion suppression, a nonlinear model isestablished at the receiver. Then, the reconstructed nonlinear signal based on the estimated parameters issubtracted from the received signal to suppress the nonlinear interference in CJ.

zh-cn	仿真与实验结果表明，该文所提方法针对同时同频扰中通场景中存在残余频偏的情况下，能够对非线性干扰进行有效抑制，验证了该方案的有效性与可行性。
en-us	Simulation and experimental results indicate that the nonlinear suppression scheme proposed in this paper can further suppress the nonlinear interference under the residual frequency offset in CJ, and verify the effectiveness and feasibility of the proposed scheme.

zh-cn	该文基于Ding-广义分圆理论，将周期为( 为奇素数，为正整数)广义分圆序列的研究推广到任意素数阶情形，构造了一类新序列。
en-us	Based on the theory of Ding - generalized circle, a new class of generalized cyclotomic sequences of (  odd prime and m>1) with arbitrary prime order is constructed in this paper.

zh-cn	通过数论方法分析多项式广义分圆类，确定并计算线性复杂度与序列的2次剩余类和2次非剩余类的划分紧密相关。
en-us	The polynomial cyclotomic classes are analysed by algebra number theory method. Moreover, the linear complexity of the new sequences are determined, which closely related to the division of quadratic residual classes and quadratic non-residual classes.

zh-cn	结果表明该类序列的线性复杂度远远大于周期的一半，能抗击应用Berlekamp-Massey(B-M)算法的安全攻击，是密码学意义上性质良好的伪随机序列。
en-us	Results show that the linear complexity of this kind of sequence is much larger than half of the period,hence, can fight Berlekamp-Massey’s security application attack that is a pseudo-random sequence with goodproperties in the sense of cryptography.

zh-cn	为防御网络切片(NS)中的侧信道攻击(SCA)，现有的基于动态迁移的防御方法存在不同虚拟节点共享物理资源的条件过于松弛的问题。该文提出一种侧信道风险感知的虚拟节点迁移方法。
en-us	In order to defend against Side-Channel Attacks (SCA) in Network Slicing (NS), the existing defense methods based on dynamic migration have the problem that the conditions for sharing of physical resources between different virtual nodes are not strict enough, a virtual node migration method is proposed for sensing side-channel risk.

zh-cn	根据侧信道攻击的实施特点，结合熵值法对虚拟节点的侧信道风险进行评估，并将服务器上偏离平均风险程度大的虚拟节点进行迁移；
en-us	According to the characteristics of SCA, the entropy method is used to evaluate the side-channel risks and migrate the virtual node from a server with large deviation from average risk.

zh-cn	采用马尔科夫决策过程描述网络切片虚拟节点的迁移问题，并使用Sarsa学习算法求解出最终的迁移结果。
en-us	The Markov decision process is used to describe the migration of virtual nodes for network slicing, and the Sarsa learning algorithm is used to solve the optimal migration scheme.

zh-cn	仿真结果表明，该方法将恶意网络切片实例与其他网络切片实例隔离开，达到防御侧信道攻击的目的。
en-us	The simulation results show that this method can separates malicious network slice instances from other target network slice instances to achieve the purpose of defense side channel attacks.

zh-cn	多重信号分类(MUSIC)算法是一种经典的空间谱估计算法。
en-us	The MUltiple SIgnal Classification (MUSIC) algorithm is a classical spatial spectrum estimation algorithm.

zh-cn	该文以L型阵列为例，针对2D-MUSIC算法在接收信号信噪比较小时对多个目标中方位相近的目标无法进行准确估计的问题，提出一种改进2D-MUSIC算法。
en-us	Taking L-shaped array as an example, an improved 2D-MUSIC algorithm is proposed for the problem that 2D-MUSIC algorithm often fails to estimate accurately targets in close proximity among multiple targets when the signal-to-noise ratio is low.

zh-cn	该算法对经典2D-MUSIC算法所构成的协方差矩阵进行共轭重组，并将重组后矩阵的平方与原协方差矩阵的平方进行相加求平均，由此获得新的矩阵，再对该矩阵对应的噪声子空间进行加权处理，选取适当的加权系数构造新的噪声子空间，最后通过谱峰搜索识别出目标位置。
en-us	The algorithm identifies the target location through spectrum peak search by first performing conjugate recombination on the covariance matrix generated by the classical 2D-MUSIC algorithm, then calculating the mean of sum of square of the recombined one and the original one as the new matrix, whose corresponding noise subspace then weighted by applying appropriate coefficients to obtain a new noise subspace.

zh-cn	计算机仿真结果表明，与2D-MUSIC算法相比，改进后的算法在接收信号信噪比较小时对多个目标中方位相近的目标也能够进行信号波达方向(DOA)估计，提高了L型阵列2维DOA估计的分辨率，具有较好的工程应用价值。
en-us	The computer simulation results show that compared with the 2D-MUSIC algorithm, the improved algorithm performs well on DOA estimation for the targets in close proximity among multiple targets when the received signal has low signal-to-noise ratio, which improves the resolution of 2D-DOA estimation with L-shaped array, with better engineering application value.

zh-cn	合成孔径雷达(SAR)系统的辐射定标可以构建SAR图像与地物后向散射截面积(RCS)的关系，反演目标物理特性，满足SAR定量化遥感需求。
en-us	The radiometric calibration of Synthetic Aperture Radar (SAR) can establish a mapping relationship between SAR image and Radar Cross Section (RCS) of ground objects, which benefits the inversion of target physical properties, and further meets the needs of quantitative remote sensing.

zh-cn	相对于其它波段，S波段SAR的定量化遥感工作罕见报道。
en-us	Compared with otherwavebands, the reports about SAR works in S-band are rare.

zh-cn	该文利用已知SAR及平台参数进行S波段SAR辐射定标处理，首先推得了图像像素值与目标后向散射系数的关系，接下来详细分析了各项误差对定标精度的影响，给出了天线指向误差对定标精度影响的解析表达式。
en-us	This paper focuses on the radiometric calibrationof radar at S-band by using the known parameters of radar and plane. Firstly, the relationship between imagepixel intensity and RCS of target is derived. Then, a detailed analysis on each error component is implemented,in which, the affection of antenna direction on radiometric calibration precision is given by the analyticexpression.

zh-cn	该文的分析有利于建立各参数与辐射定标精度的关系，方便设计时候的误差分配。
en-us	The analysis and simulation is propitious to error allocation during the design period.

zh-cn	该文给出了草地、道路和平静水面的S波段后向散射截面积统计值。
en-us	In addition,the mean RCS statistics of grass, road and calm water are given.

zh-cn	最终实际数据处理结果表明，该系统利用该定标方法可以在20°的视角范围内实现较高的绝对辐射精度。
en-us	The real data processing results show that asufficient accuracy in 20° view angle can be achieved by using the radiometric calibration method.

zh-cn	大整数乘法是公钥加密中最为核心的计算环节，实现运算快速的大数乘法单元是RSA, ElGamal，全同态等密码体制中急需解决的问题之一。针对全同态加密(FHE)应用需求，该文提出一种基于Schönhage-Strassen算法(SSA)的768 kbit大整数乘法器硬件架构。
en-us	Large integer multiplication is the most important part in public key encryption, which often consumes most of the computing time in RSA, ElGamal, Fully Homomorphic Encryption (FHE) and other crypto systems. Based on Schönhage-Strassen Algorithm (SSA), a design of high-speed 768 kbit multiplier is proposed.

zh-cn	采用并行架构实现了其关键模块64k点有限域快速数论变换(NTT)的运算，并主要采用加法和移位操作以保证并行处理的最大化，有效提高了处理速度。
en-us	As the key component, an 64k-point Number Theoretical Transform (NTT) is optimized by adopting parallel architecture, in which only addition and shift operations are employed and thus the processing speed is improved effectively.

zh-cn	该大整数乘法器在Stratix-V FPGA上进行了硬件验证，通过与CPU上使用数论库(NTL)和GMP库实现的大整数乘法运算结果对比，验证了该文设计方法的正确性和有效性。
en-us	The large integer multiplier design is validated on Stratix-V FPGA. By comparing its results with CPU using Number Theory Library(NTL) and GMP library, the correctness of this design is proved.

zh-cn	实验结果表明，该方法实现的大整数乘法器运算时间比CPU平台上的运算大约有8倍的加速。
en-us	The results also show that the FPGA implementation is about eight times faster than the same algorithm executed on the CPU.

zh-cn	在云数据库环境下，为保证云存储数据的安全性，通常将数据加密存储。
en-us	In a cloud database environment, data is usually encrypted and stored to ensure the security of cloudstorage data.

zh-cn	针对加密存储数据查询开销大，不支持密文排序，查询等缺点，该文提出一种 f-mOPE数据库密文检索方案。
en-us	To overcome the shortcomings of encrypting the data that the query overhead is big, the ciphertext sortings and query are not support, etc, this paper puts forward a kind of f - mOPE cryptograph database retrieval scheme.

zh-cn	该方案基于可变保序编码(mOPE)，采用二叉排序树数据结构思想，生成明文一一对应的保序编码；
en-us	Based on the mOPE sequential encryption algorithm, the idea of binary sort tree datastructure is used to generate plaintext one-to-one corresponding sequential coding.

zh-cn	基于AES加密方案将数据明文转化为密文存储；
en-us	Data plaintext is converted into ciphertext storage based on the AES encryption scheme.

zh-cn	采用改进的部分同态加密算法提升保序加密方案的安全性。
en-us	The improved partial homomorphic encryption algorithm is used to improve the security of sequential encryption scheme.

zh-cn	通过安全性分析及实验结果表明，该方案在保证数据隐私的基础上，不但能抵御统计型攻击，而且能够有效地降低服务器计算开销，提高数据库处理效率。
en-us	The security analysis and experimental results show that this scheme can not only resist statistical attack, but also reduce effectively server computing cost and improve database processing efficiency on the basis of guaranteeing data privacy.

zh-cn	针对大样本下未知干扰类型的分类识别问题，该文提出一种基于信号特征空间的未知干扰自适应识别方法。
en-us	In order to solve the problem of classification and recognition of unknown interference types underlarge samples, an adaptive recognition method for unknown interference based on signal feature space isproposed.

zh-cn	首先，基于Hilbert信号空间理论对干扰信号进行处理，建立干扰信号特征空间，进而利用投影定理对未知干扰进行最佳逼近，提出基于信号特征空间的概率神经网络(PNN)分类算法，并设计了未知干扰分类识别器的处理流程。
en-us	Firstly, the interference signal is processed and the interference signal feature space is established with the Hilbert signal space theory. Then the projection theorem is used to approximate the unknown interference. The classification algorithm based on signal feature space with Probabilistic Neural Network(PNN) is proposed, and the processing flow of unknown interference classifier is designed.

zh-cn	仿真结果表明，与两种传统方法相比，该方法在已知干扰的分类精度方面分别提高了12.2%和2.8%；
en-us	The simulation results show that compared with two kinds of traditional methods, the proposed method improves the classification accuracy of the known interference by 12.2% and 2.8% respectively.

zh-cn	满足条件的未知干扰最佳逼近效果随功率强度呈线性变化，设计的分类识别器在满足最佳逼近的各类干扰中总体识别率达到91.27%，处理干扰识别的速度明显改善；
en-us	The optimal approximation effect of the unknown interference varies linearly with the power intensity in the condition, and the overall recognition rate of the designed classifier reaches 91.27% in the various types of interference satisfying the optimal approximation, and the speed of processing interference recognition is improved significantly.

zh-cn	在信噪比达到4 dB时，对未知干扰识别准确率达到92%以上。
en-us	When thesignal-to-noise ratio reaches 4 dB, the accuracy of unknown interference recognition is more than 92%.

zh-cn	移动网鉴权认证协议攻击不断涌现，针对5G网络新协议EAP-AKA ，该文提出一种基于Lowe分类法的EAP-AKA 安全性分析模型。
en-us	Mobile network authentication protocol attacks continue to emerge. For the new 5G network protocolEAP-AKA', an EAP-AKA' security analysis method based on Lowe’s taxonomy is proposed.

zh-cn	首先对5G网络协议EAP-AKA 、信道及攻击者进行形式化建模。
en-us	Firstly, 5Gnetwork, EAP-AKA', communication channel and adversary are formally modeled.

zh-cn	然后对Lowe鉴权性质进行形式化描述，利用TAMARIN证明器分析协议中安全锚点密钥KSEAF的Lowe鉴权性质、完美前向保密性、机密性等安全目标，发现了3GPP隐式鉴权方式下的4条攻击路径。
en-us	Then Lowe authentication property is formally modeled. Using the TAMARIN prover, objectives of the security anchor key KSEAF areanalyzed, such as Lowe’s taxonomy, perfect forward secrecy, confidentiality, etc. Four attack paths under3GPP implicit authentication mode are discovered.

zh-cn	最后针对发现的安全问题提出2种改进方案并验证其有效性，并将5G网络两种鉴权协议EAP-AKA 和5G AKA的安全性进行了对比，发现前者在Lowe鉴权性质方面更安全。
en-us	Two improved schemes are proposed for the discovered security problems and their security is verified. Finally, the security of the two authentication protocols EAP-AKA’ and 5G AKA of the 5G network is compared, and it is found that the former is safer in terms of Loweauthentication property.

zh-cn	针对基于互质阵列的欠定DOA估计方法对于虚拟阵元非连续部分利用率不高的问题，该文提出一种基于Toeplitz协方差矩阵重构的DOA估计方法。
en-us	In order to improve the utilization of non-contiguous virtual array elements in the underdeterminedDOA estimation of the coprime array, a DOA estimation method based on Toeplitz covariance matrix reconstruction is proposed.

zh-cn	首先，从互质阵列差联合阵的角度分析虚拟阵元分布特性，结合其与协方差矩阵中各元素得到的波程差存在对应关系，将协方差矩阵进行扩展得到一个数据缺失的高维协方差矩阵；
en-us	First, the virtual array element distribution characteristics of the matrix areanalyzed from the perspective of the difference coarray. Additionally, according to the correspondence between the difference coarray and the wave path difference, the covariance matrix is extended to a Toeplitz array covariance matrix, of which some elements are zero.

zh-cn	然后，根据矩阵填充理论，用迹范数代替秩范数进行松弛，对缺失元素进行填充；
en-us	Then, the Toeplitz matrix is recovered to the fullcovariance matrix according to the low rank matrix completion theory.

zh-cn	最后，利用现有root-MUSIC方法进行DOA估计。
en-us	Finally, the root-MUSIC method isemployed for the DOA estimation.

zh-cn	理论分析和仿真结果表明，该方法提升了虚拟阵元的利用率，从而增加了虚拟孔径和可估计信号数，同时无需对角度域进行离散化处理，有效消除了模型失配的影响，并且避免了正则化参数选取问题，提高了估计精度和分辨率。
en-us	Theoretical analysis and simulation results show that this method can increase the number of the resolvable signals by increasing the number of virtual array elements, eliminate the effect of the off-grid effect without discretization of the angle domain, and avoid regularization parameter selection. Therefore, the estimation accuracy and resolution are improved.

zh-cn	高频地波雷达(HFSWR)利用电磁波绕射原理进行目标探测，具有超视距的特性。
en-us	High Frequency Surface Wave Radar (HFSWR) utilizes electromagnetic wave diffracting along theearth to detect targets over the horizon.

zh-cn	然而，探测距离的增加会使得雷达目标回波能量减弱，进而使得雷达探测能力下降。
en-us	However, the increase of target distance decreases the received echoenergy, and this degrades the detection capability.

zh-cn	为了改善高频地波雷达的探测性能，该文提出了一种基于信息几何理论的局域联合矩阵恒虚警率(CFAR)检测器，利用信号在角度、多普勒速度和距离的多维信息进行检测；并使用对数行列式散度(LDD)和对称对数行列式散度(SLDD)代替黎曼距离(RD)作为距离度量。
en-us	A joint domain matrix Constant False Alarm Rate (CFAR)detector is proposed to improve the detection performance. It employs the multi-dimensional information ofsignal in azimuth, Doppler velocity and range domain to detect target, and Log-Determinant Divergence (LDD)and Symmetrized Log-Determinant Divergence (SLDD) are used to replace the Riemannian Distance (RD) asthe measure of distance.

zh-cn	最后，实验结果验证了该文提出的检测器能够有效地改善雷达对目标的检测性能。
en-us	Finally, the experiment results show that the detector presented by the paper can improve the detection performance effectively.

zh-cn	近年来，通过引入移动设备(ME)为无线传感器网络(WSNs)进行无线充电和数据收集成为一个研究热点。
en-us	Recently, the mobile charging and data collecting by using Mobile Equipment (ME) in WirelessSensor Networks (WSNs) is a hot topic.

zh-cn	传统方法一般先根据节点的充电需求优先级确定移动路径，再根据该路径依次对节点进行数据收集。
en-us	Existing studies determine usually the traveling path of ME accordingto the charging requirements of sensor nodes firstly, and then handle the data collecting.

zh-cn	该文同时考虑充电需求和数据收集两个维度，以最大化ME的总能量利用率和最小化数据收集平均时延为目标，建立多目标一对多充电及数据收集模型。
en-us	In this paper, charging requirement and data collecting are taken into consideration simultaneously. A one-to-many charging and datacollecting model for ME is established with two optimization objectives, maximizing the total energy utilizationand minimizing the average delay of data collecting.

zh-cn	在ME携带的行驶能量和充电能量不足的前提下，设计路径规划策略和均衡化充电策略，并改进多目标蚁群算法对该文问题进行求解。
en-us	Due to the limited energy of the ME, the path planning strategy and the equalization charging strategy are designed. An improved multi-objective ant colony algorithmis proposed to solve the problem.

zh-cn	实验结果表明，该文算法在多种场景下的目标值、Pareto解的数量、Pareto解集的均匀性、分布范围等性能指标均优于NSGA-II算法。
en-us	Experiments show that the objective values, the number of Pareto solutions, the homogeneity of Pareto solutions and the distribution of Pareto solutions obtained by the proposed algorithm are all superior over NSGA-II algorithm.

zh-cn	为准确有效地实现自然图像的压缩感知(CS)重构，该文提出一种基于图像非局部低秩(NLR)和加权全变分(WTV)的CS重构算法。
en-us	In order to reconstruct natural image from Compressed Sensing(CS) measurements accurately and effectively, a CS image reconstruction algorithm based on Non-local Low Rank(NLR) and Weighted Total Variation(WTV) is proposed.

zh-cn	该算法考虑图像的非局部自相似性(NSS)和局部光滑特性，对传统的全变分(TV)模型进行改进，只对图像的高频分量设置权重，并用一种差分曲率的边缘检测算子来构造权重系数。
en-us	The proposed algorithm considers the Non-local Self-Similarity(NSS) and local smoothness in the image and improves the traditional TV model, in which only the weights of image’s high-frequency components are set and constructed with a differential curvature edge detection operator.

zh-cn	此外，算法以改进的TV模型与NLR模型为约束构建优化模型，并分别采用光滑非凸函数和软阈值函数来求解低秩和全变分优化问题，很好地利用了图像的自身性质，保护了图像的细节信息，并提高了算法的抗噪性和适应性。
en-us	Besides, the optimization model of the proposed algorithm is built with constraints of the improved TV and the non-local low rank model, and a non-convex smooth function and a soft thresholding function are utilized to solve low rank and TV optimization problems respectively. By taking advantage of them, the proposed method makes full use of the property of image, and therefore conserves the details of image and is more robust and adaptable.

zh-cn	仿真结果表明，与基于NLR的CS算法相比，相同采样率下，该文所提算法的峰值信噪比最高可提高2.49 dB，且抗噪性更强，验证了算法的有效性。
en-us	Experimental results show that, compared with the CS reconstruction algorithm via non-local lowrank, at the same sampling rate, the Peak Signal to Noise Ratio(PSNR) of the proposed method increases by 2.49 dBat most and the proposed method is more robust, which proves the effectiveness of the proposed algorithm.

zh-cn	针对基于非正交多址接入(NOMA)技术的中继通信系统，在兼顾系统性能与计算复杂度的基础上，该文提出一种结合统计信道信息(S-CSI)和瞬时信道信息(I-CSI)的混合功率分配策略(H-PAS)来有效实现上述折中。
en-us	A novel scheme termed Hybrid Power Allocation Strategy (H-PAS), which is integrated with Statistical Channel State Information (S-CSI) and Instantaneous Channel State Information (I-CSI), is proposed for Non-Orthogonal Multiple Access (NOMA) based on cooperative relaying systems to achieve a better performance-complexity tradeoff.

zh-cn	仿真结果表明，NOMA方案在H-PAS策略下，一方面比单纯利用S-CSI时的传统正交多址接入技术具有更高的频谱效率；
en-us	Simulation results demonstrate that, with the proposed H-PAS, on the one hand, NOMA shows distinct advantage on the sum-rate compared with conventional orthogonal multiple access techniques in which only the knowledge of S-CSI is available;

zh-cn	另一方面在和速率差别不大的情况下，又比单纯利用I-CSI时的NOMA方案具有更低的信令开销和计算复杂度。
en-us	On the other hand, NOMA reduces the signaling overhead and computational complexity at the expense of marginal sum rate degradation when compared with the cases in which only the knowledge of I-CSI is available for it.

zh-cn	针对常规最大类间方差法在多阈值图像分割中存在的运算量大、计算时间长、分割精度较低等问题，该文提出一种基于改进的自适应差分演化(JADE)算法的2维Otsu多阈值分割法。
en-us	The multi-threshold image segmentation of the classical 2D maximal between-cluster variance method has deficiencies such as large computation, long calculation time, low segmentation precision and so on. Amulti-threshold segmentation of 2D Otsu based on improved Adaptive Differential Evolution (JADE) algorithm is proposed.

zh-cn	首先，为增强初始化种群的质量、提升控制参数的适应性，将混沌映射机制融入到JADE算法中；
en-us	Firstly, in order to enhance the quality of the initialized population and improve the adaptabilityof the control parameters, the chaotic mapping mechanism is integrated into the JADE algorithm.

zh-cn	进而，通过该改进算法求解2维 Otsu 多阈值图像的最佳分割阈值；
en-us	Furthermore, the optimal segmentation threshold of 2D Otsu multi-threshold image is solved by improvedJADE algorithm.

zh-cn	最终，将该算法与差分进化(DE), JADE，改进正弦参数自适应的差分进化(LSHADE-cnEpSin)以及增强的适应性微分变换差分进化(EFADE) 4种算法的2维Otsu多阈值图像分割进行比较。
en-us	Finally, the algorithm is compared with multi-threshold image segmentation method of 2DOtsu based on Differential Evolution (DE), JADE, Improved Differential Evolution with Adaptive Sinusoidal Parameters (LSHADE-cnEpSin) and Enhanced Adaptive Differential Transformation Differential Evolution(EFADE) algorithm.

zh-cn	实验结果表明，与其它4种算法相比，基于改进JADE算法的2维Otsu多阈值图像分割在分割速度以及精度上均有较明显的改善。
en-us	The experimental results show that compared with the other four algorithms, the multi-threshold image segmentation of 2D Otsu based on the improved JADE algorithm has a significant improvement in terms of segmentation speed and accuracy.

zh-cn	针对如何提高纸币识别率的问题，该文提出一种改进深度卷积神经网络(DCNN)的纸币识别算法。
en-us	In order to improve the recognition rate of banknotes, the improved banknote recognition algorithm based on Deep Convolutional Neural Network(DCNN) is proposed.

zh-cn	该算法首先通过融合迁移学习、带泄露整流(Leaky ReLU)函数、批量归一化(BN)和多层次残差单元构造深度卷积层，对输入的不同尺寸纸币进行稳定而快速的特征提取与学习；
en-us	Firstly, the algorithm constructs a deepconvolution layer by integrating transfer learning, Leaky-Rectified Liner Unit (Leaky ReLU) function, BatchNormalization(BN) and multi-level residual unit that perform stable and fast feature extraction and learning oninput different size banknotes.

zh-cn	然后采用改进的多层次空间金字塔池化算法对提取的纸币特征实现固定大小的输出表示；
en-us	Secondly, a fixed-size output representation of the extracted banknote features isobtained by using the improved multi-level spatial pyramid pooling algorithm.

zh-cn	最后通过网络全连接层和softmax层实现纸币图像分类。
en-us	Finally, the banknoteclassification is implemented by the full connection layer and the softmax layer of the network.

zh-cn	实验结果表明，该算法在分类性能、泛化能力与稳定性上明显优于常用的纸币分类算法；
en-us	The experimental results show that the proposed algorithm can effectively improve the recognition rate of banknotes, and has better generalization ability and robustness than the traditional banknote classification method.

zh-cn	同时该算法也能够满足纸币清分系统的实时性要求。
en-us	Meanwhile, the algorithm can meet the real-time requirements of the banknote sorting system.

zh-cn	为了能全面研究基于容错学习(LWE)的属性基加密(ABE)方案的安全性，考察其抵抗现有攻击手段的能力，在综合考虑格上算法和方案噪声扩张对参数的限制后，利用已有的解决LWE的算法及其可用程序模块，该文提出了针对基于LWE的ABE方案的具体安全性分析方法。该方法可以极快地给出满足方案限制要求的具体参数及方案达到的安全等级，
en-us	In order to comprehensively study the security of the Attribute-Based Encryption (ABE) schemebased on Learning With Errors (LWE) and test its ability to resist existing attacks, an analysis method forconcrete security of ABE based on LWE is proposed. After consideration of the parameter restrictions caused by algorithms on lattices and noise expansion, this method applies the existing algorithms to solving LWE and the available program modules, and it can quickly provide the specific parameters that satisfy the scheme and estimate the corresponding security level.

zh-cn	此外，在给定安全等级的条件下，该方法可以给出相应的具体参数值。
en-us	In addition, it can output the specific parameters that satisfy the pre-given security level.

zh-cn	最后，利用该方法分析了4个典型的基于LWE的属性基加密方案的具体安全性。
en-us	Finally, four existing typical schemes are analyzed by this method.

zh-cn	实验数据表明，满足一定安全等级的基于LWE的属性基方案的参数尺寸过大，还无法应用到实际中。
en-us	Experiments show thatthe parameters are too large to be applied to practical applications.

zh-cn	针对现有属性基可搜索加密方案缺乏对云服务器授权的服务问题，该文提出一种基于授权的可搜索密文策略属性基加密(CP-ABE)方案。
en-us	Considering that the existing attribute-based searchable encryption scheme lacks the authorization service to the cloud server, a multi-server searchable Ciphertext Polity Attribute Base Encryption (CP-ABE)scheme is proposed based on authorization.

zh-cn	方案通过云过滤服务器、云搜索服务器和云存储服务器协同合作实现搜索服务。
en-us	The scheme implements search services through a cloud filterserver, cloud search server and cloud storage server cooperation mechanism.

zh-cn	用户可将生成的授权信息和陷门信息分别发送给云过滤服务器和云搜索服务器，在不解密密文的情况下，云过滤服务器可对所有密文进行检测。
en-us	The users send the authorizationinformation to the cloud filter server at once, then the server creates the authorization information; The cloudsearch server creates the trapdoor information based on the trapdoor information sent by the users.

zh-cn	该方案利用多个属性授权机构，在保证数据机密性的前提下能进行高效的细粒度访问，解决数据用户密钥泄露问题，提高数据用户对云端数据的检索效率。
en-us	Withoutdecrypting the cipher text, the cloud filter server can detect all the cipher texts. Multiple attribute authoritiescan be used to ensure efficient and fine-grained access under the premise of ensuring data confidentiality,solving the problem of leakage of data user keys.

zh-cn	通过安全性分析，证明方案在提供数据检索服务的同时无法窃取数据用户的敏感信息，且能够有效地防止数据隐私的泄露。
en-us	It can improve the data retrieval efficiency when people usethe cloud server. Through security analysis, it is proved that the scheme can not steal sensitive information ofdata users while providing data retrieval services, and it can effectively prevent the leakage of data privacy.

zh-cn	该文首先利用属性攻击图理论构建了网络动态威胁分析属性攻击图(DT-AAG)模型，该模型在全面刻画系统漏洞和网络服务导致的威胁转移关系的基础上，结合通用漏洞评分标准(CVSS)和贝叶斯概率转移计算方法设计了威胁转移概率度量算法；
en-us	Firstly, a network Dynamic Threat Attribute Attack Graph (DT-AAG) analysis model is constructedby using Attribute Attack Graph theory. On the basis of the comprehensive description of system vulnerabilityand network service-induced threat transfer relationship, a threat transfer probability measurement algorithm isdesigned in combination with Common Vulerability Scoring System (CVSS) vulnerability evaluation criteriaand Bayesian probability transfer method.

zh-cn	其次基于构建的DT-AAG模型，利用威胁与漏洞、服务间的关联关系，设计了动态威胁属性攻击图生成算法(DT-AAG-A)，并针对生成的属性攻击图存在的威胁传递环路问题，设计了环路消解机制；
en-us	Secondly, based on the model, a Dynamic Threat Attribute AttackGraph generation Algorithm (DT-AAG-A) is designed by using the relationship between the threat and the vulnerability as well as the service. What’s more, to solve the problem that threat transfer loop existing in the generated attribute attack graph, the loop digestion mechanism is designed.

zh-cn	最后通过实验验证了该模型和算法的有效性。
en-us	Finally, the effectiveness of theproposed model and algorithm is verified by experiments.

zh-cn	为提高双极化卫星通信的安全传输性能，该文提出一种基于双层多参数加权类分数阶傅里叶变换(DL-MPWFRFT)的安全传输方法。
en-us	In order to improve the secure transmission performance of dual-polarized satellite communication, a secure transmission method based on Double Layer Multi-Parameter Weighted-type FR actional Fourier Transform (DL-MPWFRFT) is proposed.

zh-cn	该方法中对相互正交的两路极化状态-幅相联合调制信号进行DL-MPWFRFT变换处理，并通过数模转换和射频化处理上载到卫星信道中。
en-us	Two orthogonally polarization amplitude-phase modulation branch signals are processed by DL-MPWFRFT, and then uploaded to the satellite channel by digital-to-analog conversion and radio frequency processing.

zh-cn	仿真结果表明，该方法使传输信号的星座图发生旋转和扩散，抗扫描能力提高，在增加系统容量的同时增强了系统的抗截获性。
en-us	The simulation results show that the method rotates and spreads the constellation of the transmitted signal, improves the anti-scanning capability, and increases the anti-interception performance of the system meanwhile increasing the system capacity.

zh-cn	相关滤波(CF)方法应用于视觉跟踪领域中效果显著，但是由于边界效应的影响，导致跟踪效果受到限制，针对这一问题，该文提出一种基于样本质量估计的正则化自适应的相关滤波视觉跟踪算法。
en-us	Correlation Filters (CF) are efficient in visual tracking, but their performance is badly affected by boundary effects. Focusing on this problem, the adaptive regularized correlation filters for visual tracking based on sample quality estimation are proposed.

zh-cn	首先，该算法在滤波器的训练过程中加入空间惩罚项，构建目标与背景的颜色及灰度直方图模板并计算样本质量系数，使得空间正则项根据样本质量系数自适应变化，不同质量的样本受到不同程度的惩罚，减小了边界效应对跟踪的影响；
en-us	Firstly, the proposed algorithm adds spatial regularization matrix to the training process of the filters, and constructs color and gray histogram templates to compute the sample quality factor. Then, the regularization term adaptively changes with the sample quality coefficient, so that thesamples of different quality are subject to different degrees of punishment.

zh-cn	其次，通过对样本质量系数的判定，合理优化跟踪结果及模型更新，提高了跟踪的可靠性和准确性。
en-us	Then, by thresholding the sample quality coefficient, the tracking results and model update strategy are optimized.

zh-cn	在OTB2013和OTB2015数据平台上的实验数据表明，与近几年主流的跟踪算法相比，该文算法的成功率均为最高，且与空间正则化相关滤波(SRDCF)算法相比分别提高了9.3%和9.9%。
en-us	The experimental results onOTB2013 and OTB2015 indicate that, compared with the state-of-the-art tracking algorithm, the averagesuccess ratio of the proposed algorithm is the highest. The success ratio is raised by 9.3% and 9.9% contrastedwith Spatially RegularizeD Correlation Filters(SRDCF) algorithm respectively on OTB2013 and OTB2015.

zh-cn	为了解决集成电路设计中多方合作的成员信息泄漏问题，该文提出一种基于正交混淆的多硬件IP核安全防护方案。
en-us	In order to solve the problem of member information leakage in multi-party cooperative design of integrated circuits, a orthogonal obfuscation scheme of multi-hardware IPs core security protection is proposed.

zh-cn	该方案首先利用正交混淆矩阵产生正交密钥数据，结合硬件特征的物理不可克隆函数(PUF)电路，产生多硬件IP核的混淆密钥；
en-us	Firstly, the orthogonal obfuscation matrix generates orthogonal key data, and the obfuscated key of the hardware IP core is designed with the physical feature of the Physical Unclonable Function (PUF) circuit.

zh-cn	然后，在正交混淆状态机的基础上，实现多硬件IP核的正交混淆安全防护算法；
en-us	Then the security of multiple hardware IP cores is realized by the orthogonal obfuscation state machine.

zh-cn	最后，利用ISCAS-85基准电路和密码算法，验证正交混淆方法的有效性。
en-us	Finally, the validity of orthogonal aliasing is verified using the ISCAS-85 circuit and cryptographic algorithm.

zh-cn	在台湾积体电路制造股份有限公司(TSMC)65 nm工艺下测试正交混淆的多硬件IP核方案，正确密钥和错误密钥下的Toggle翻转率小于5%，在较大规模的测试电路中面积和功耗开销占比小于2%。
en-us	The multi-hardware IP core orthogonal obfuscation scheme is tested under Taiwan Semiconductor ManufacturingCompany (TSMC) 65 nm process, the difference of Toggle flip rate between the correct key and the wrong keyis less than 5%, and the area and power consumption of the larger test circuit are less than 2%.

zh-cn	实验结果表明，采用正交混淆的方式能够提高多硬件IP核的安全性，可以有效防御成员信息泄漏、状态翻转率分析等攻击。
en-us	Theexperimental results show that orthogonal obfuscation can improve the security of multi-hardware IP cores, andcan effectively defend against member information leakage and state flip rate analysis attacks.

zh-cn	该文针对无线多播网络中基于随机线性网络编码(RLNC)调度方案计算复杂度高，且网络传输性能易受反馈信息影响等问题，提出一种基于自适应RLNC的优先级调度方案(PSARLNC)。
en-us	A Priority Scheduling scheme based on Adaptive Random Linear Network Coding (PSARLNC) is proposed, to avoid the high computation complexity of the scheduling scheme based on Random LinearNetwork Coding (RLNC) and the high feedback dependence of the network performance.

zh-cn	该方案结合视频流的特征采用适应多播的RLNC，相较于传统RLNC计算复杂度降低。
en-us	The characteristics of the video stream and RLNC adapted to multicast are combined in this scheme. Compared with the traditionalRLNC, the computation complexity of this scheme is reduced.

zh-cn	经过初始传输后，在后续数据恢复阶段，综合考虑数据包剩余传输时隙，选取目的节点增益最大传输方式，最大化数据传输。
en-us	After the initial transmission, the transmission slots left of the data packet are comprehensively considered in the subsequent data recovery phase, and the maximum transmission node of the destination node gain is selected to maximize data transmission.

zh-cn	同时，各中继节点根据接收情况，构建各自解码概率值，并以此为依据确定调度优先级并完成转发，自适应调整各节点传输，有效减少对反馈信息的依赖。
en-us	At the same time, the decoding probability is available according to the different receiving situations in each relay node. According to the decoding probability value, the scheduling priority is determined, and the forwarding is completed. The transmission of each node is adaptively adjusted, and the feedback information is effectively reduced.

zh-cn	仿真结果表明该方案与完全反馈方案性能十分接近，且在减小计算复杂度和降低对反馈信息依赖同时保证了较好的性能。
en-us	The simulation results show that the performance of this scheme is approached to the full-feedback scheme, with better performance in the reducing computational complexity and the decreasing feedback dependence.

zh-cn	通常空间自旋目标的3维(3D)重构都是通过对散射点轨迹进行矩阵分解的方法得到的，散射点轨迹是从雷达序列图提取并关联得到的。
en-us	Generally speaking, Three Dimension (3D) imaging of spinning space target is obtained byperforming matrix factorization method on the scattering trajectories obtained from sequential radar images.

zh-cn	由于散射点提取与关联误差的存在，3D重构会出现精度下降，甚至失败的问题。
en-us	Because of the errors of scattering center extraction and association, the 3D reconstruction accurate is reducedor even fail.

zh-cn	另一方面，转台目标的散射点轨迹符合圆属性，这与几何投影理论认为散射点投影轨迹的椭圆属性相违背。
en-us	In addition, the scattering center trajectory from turntable target consists with circle nature, which is inconsistent with the elliptic property of the scattering center trajectory obtained by optical geometry projection.

zh-cn	为解决以上问题，该文提出了基于短时的空间目标3D重构算法。
en-us	To tackle these problems, this paper proposes a short time 3D reconstruction method of space target.

zh-cn	首先对提取的散射点轨迹进行2维圆属性拟合，使其轨迹光滑，更接近理论曲线。
en-us	Firstly, the retrieved trajectory is fitted with 2D circular nature to make the trajectory smooth and closer to the theoretical curve.

zh-cn	然后采用多视角的方法估计雷达视角(LOS)，通过乘以雷达视角构成的系数，将圆属性轨迹曲线转变成椭圆属性轨迹曲线。
en-us	Then the radar Line Of Sight (LOS) is estimated by multiple views and the circular curve is converted into elliptical curve by multiplying the coefficients calculated by the LOS.

zh-cn	通过对散射点椭圆属性轨迹进行矩阵分解的方法获得目标的3D结构。
en-us	The 3D reconstruction can be obtained by performing matrix factorization method on elliptical curves.

zh-cn	最后通过2个实验验证了该文所提算法的有效性。
en-us	Finally, the simulations verify the effectiveness of the proposed method.

zh-cn	数据压缩和解压缩已广泛应用于现代通信和数据传输领域。
en-us	Data compression and decompression are widely used in modern communication and data transmission.

zh-cn	但是如何解压缩损坏的无损压缩文件仍然是一个挑战。
en-us	However, how to decompress the damaged lossless compressed files is still a challenge.

zh-cn	针对在通用编码领域广泛使用的无损数据压缩算法，该文提出一种能够修复误码并解压还原损坏的LZSS文件的有效方法，并给出了理论依据。
en-us	For the lossless data compression algorithm widely used in the general coding field, an effective method is proposed to repair the error and decompress and restore the corrupted LZSS files, and the theoretical basis is given.

zh-cn	该方法通过利用编码器留下的残留冗余携带校验信息，在不损失任何压缩性能的情况下，能够修复LZSS压缩数据中的错误。
en-us	By using the residual redundancy left by the encoder to carry the check information, the method can repair the errors in LZSS compressed data without loss of any compression performance.

zh-cn	所提方法不需要增加额外比特，也不改变编码规则和数据格式，所以与标准算法完全兼容。
en-us	The proposed method does not require additional bits or changes in coding rules and data formats, thus it is fully compatible with standard algorithms.

zh-cn	即采用具有错误修复能力的LZSS方案压缩的数据，仍然可以通过标准LZSS解码器进行解压。
en-us	That is, the data compressed by LZSS with error repair capability can still be decompressed by standard LZSS decoder.

zh-cn	实验结果验证了所提算法的有效性和实用性。
en-us	The experimental results verify the validity and practicability of the proposed algorithm.

zh-cn	针对时分波分复用无源光网络(TWDM-PON)多个光线路终端(OLT)间资源缺乏协同集中调度问题，该文提出一种带有软件定义的基于带宽预测的资源分配策略(RABP)。
en-us	Considering lacking of centralized and synergistic scheduling for time-slots and wavelength resources of the inter-TWDM-PONs, a novel Resource Allocation based on Bandwidth Prediction (RABP) strategy with software-defined centralized schedule is proposed.

zh-cn	在光线路终端间，设计粒子群优化的BP神经网络模型预测各光线路终端所需带宽，避免了控制器与光线路终端信息交互时延对资源分配实时性的影响；
en-us	For intra-Optical Line Terminal (OLT), the BP neuralnetwork model based on Particle Swarm Optimization (PSO) algorithm is designed to predict the requiredbandwidth of each OLT in order to avoid the impact of delay between controller and OLT on real-timeresource allocation.

zh-cn	其次，在光线路终端内，动态设定滑动周期并基于光网络单元授权信息实时统计资源池共享带宽，同时，设计负载均衡的波长调度机制实现多波长的高效利用。
en-us	For inter-OLT, the slide cycle is dynamically set, and then the shared bandwidth ofresource pool is counted in real-time according to the authorized information of optical network unit. In the process of wavelength scheduling, a wavelength scheduling mechanism with load balancing to achieve efficiently utilizing of wavelength resource is designed.

zh-cn	仿真结果表明，该策略提高了信道资源利用率，降低了平均包时延。
en-us	The simulation results show that the proposed strategy not only effectively improves the utilization of channel resources, but also reduces the average packet delay.

zh-cn	在多控制器管理的软件定义网络(SDN)中，时延和负载是控制器放置问题(CPP)要考虑的重要因素。
en-us	In Software Defined Networks (SDN), latency and load are important factors for ControllerPlacement Problem (CPP).

zh-cn	该文以降低控制器之间的传播时延、流请求的传播时延和排队时延、均衡控制器间负载为目标，提出一种控制器放置及动态调整的策略，其中包括用于初始控制器放置的负载均衡算法(BCRA)和遗传算法(GA)，用于动态调整控制器负载的在线调整算法(ADOA)。
en-us	To reduce the transmission latency between controllers, the propagation latencyand queuing latency of flow requests, and balance the controller load, a strategy on how to place and adjust thecontroller is proposed. It mainly includes Genetic Algorithm (GA) and Balanced Control Region Algorithm(BCRA) which are used to place the initial controller and one Algorithm of Dynamic Online Adjustment(ADOA), that is an online adjusting algorithm in term dynamic controlling.

zh-cn	以上算法均考虑网络连通性。
en-us	The above algorithms are all basedon the network connectivity.

zh-cn	仿真结果表明：在初始控制器放置时，在保证流请求的传播时延、排队时延和控制器传播时延较低的情况下，BCRA部署在中小型网络中时，其负载均衡性能与GA相近且优于k-center和k-means算法；GA部署在大型网络中时，与BCRA, k-center和k-means算法相比，使得负载均衡率平均提高了49.7%。
en-us	The simulation results show that in initial controller placement situation, underthe premise of guaranteeing the lower propagation latency, queue latency and controller transmission latency offlow request, when BCRA is deployed in small and medium-sized networks, its load balancing performance issimilar to that of GA and superior to k-center and k-means algorithm; When GA is deployed in large networks,compared with BCRA, k-center and k-means, the load balancing rate increases averagely 49.7%.

zh-cn	在动态情况下，与现有动态调整算法相比，ADOA可以保证较低排队时延和运行时间的同时，仍能使负载均衡参数小于1.54。
en-us	In the dynamic situation, ADOA can guarantee lower queuing delay and running time, and can still make the load balance parameter less than 1.54.

zh-cn	在分析了矢量跟踪环路和标量跟踪环路故障检测方面差异的基础上，该文指出全球导航卫星系统(GNSS)矢量接收机自主完好性监控(RAIM)技术所存在的问题，即RAIM检测量受噪声影响导致检测故障不准确，和故障信息在环路中的传播使得难以准确识别出故障源。
en-us	Based on the analysis on the difference between vector tracking loop and scalar tracking loop on faultdetection, it is pointed out that in vector receiver of Global Navigation Satellite System (GNSS), the detectionstatistic of Receiver Autonomous Integrity Monitoring (RAIM) algorithm is inaccurate because of the influenceof noise, and the propagation of fault information in the loop makes it difficult to identify the fault source.

zh-cn	针对上述问题，对矢量接收机的结构进行了改进，提出基于预滤波器的双环路跟踪结构。
en-us	To solve the problems, a double loop tracking structure based on pre-filter is proposed after modifying the structure of vector receiver.

zh-cn	在新结构中，通过基于容积卡尔曼滤波算法的预滤波器削弱噪声的影响，并通过双环路切换的方法阻止故障信息的传播。
en-us	In the new receiver, the influence of noise is reduced by pre-filter based on cubature Kalman filtering algorithm, and the fault information is prevented from propagating to each other by switching the loop.

zh-cn	仿真实验结果表明，改进后的矢量接收机不仅RAIM检测统计量的均值和方差都显著减小，而且识别故障的准确率有了明显的提高，RAIM性能较原来得到了有效提升。
en-us	Simulation results show that the improved vector receiver not only greatly reduces the mean and variance of RAIM detection statistics, but also improves the accuracy of fault identification. Thus, the performance of RAIM is significantly improved.

zh-cn	探月工程嫦娥4号中继星任务同时搭载月球轨道微卫星，受地面测控资源分配限制，微卫星的轨道测量由地基S/X频段统一测控(TT&C)系统天线(USB)保障。
en-us	Because of restricted earth-based tracking network, Tracking, Telemetry and Command (TT&C) for lunar orbit micro-satellite is depended on Unified S/X Band (USB) antennas in China Chang’E-4 lunar exploration.

zh-cn	该文通过分析地月转移轨道段中继星、微卫星相对于跟踪测站的几何构型，依托深空干涉测量系统设计实现对微卫星、中继星的同波束干涉测量(SBI)跟踪；
en-us	Based on analysis of the geometry between relay satellite, micro-satellite and earth-based antennasduring earth-moon transfer orbit, an applicable method to acquire delay observable through Same-BeamInterferometry (SBI) tracking by China deep space network is discussed.

zh-cn	发挥中继星测控资源丰富、轨道精度高的优势，获取了微卫星优于1 ns的测角观测量；并应用于微卫星短弧定轨，统计分析表明定轨精度由2 km提升至优于1 km、预报精度由6 km提升至2 km，为微卫星轨道机动后的快速高精度轨道确定与预报提供了有力支撑。
en-us	Benefited from more kinds of trackingresources and high accuracy orbit of relay satellite, delay observable for angular position measurement of micro-satellite in the order of 1 ns is obtained, which improves the micro-satellite orbit determination accuracy from 2km to less than 1 km and improves orbit prediction accuracy from 6 km to 2 km. SBI tracking plays an important role in short arc orbit determination of micro-satellite.

zh-cn	该文提出在无证书公钥密码体制(CLPKC)和传统公共密钥基础设施体制(TPKI)下部分盲签密方案的形式化定义，并在此基础上提出一个在CLPKC-TPKI环境下具有双线性对的部分盲签密方案。
en-us	The definition and security models of partial blind sign cryption scheme in heterogeneous environment between Certificate Less Public Key Cryptography (CLPKC)and Traditional Public Key Infrastructure (TPKI)are proposed, and a construction by using the bilinear pairing is proposed.

zh-cn	依据随机预言模型，计算Diffie-Hellman困难问题(CDHP)和修改逆计算Diffie-Hellman困难问题(MICDHP)假设，使得方案在异构环境下满足不可伪造性、机密性、部分盲性、不可跟踪性、不可否认性等性质。
en-us	Under the random oracle model,based on the assumptions of Computational Diffie-Hellman Problem(CDHP) and Modifying InverseComputational Diffie-Hellman(MICDHP), the scheme is proved to meet the requirment of the unforgeability,confidentiality, partial blindness, and untraceability, undeniability.

zh-cn	最后和相关方案进行了比较分析，该文方案在增加了盲性同时并未显著增加计算量的开销。
en-us	Finally, compared with the related scheme,the scheme increases the blindness and does not significantly increase the computational cost.

zh-cn	随着轻小型无人机(UAV)日益发展，基于UAV平台搭载微型SAR系统的探测手段会给信息获取方式带来革命性的影响，这也对微型载荷提出了的更高的需求。
en-us	With the development of light and small Unmanned Aerial Vehicles (UAV), the detection method of Mini SAR based on UAV platform brings a revolutionary impact on information acquisition mode.

zh-cn	针对这一需求，该文介绍了一种W波段UAV微型SAR系统，提出了基于锁相技术的线性调频源的设计方法，并对毫米波(MMW)介质集成波导天线、3维集成、运动补偿方法等关键问题进行研究，研制W波段无人机微型SAR系统原理样机，基于多旋翼无人机平台开展飞行成像应用试验。
en-us	In thispaper, a W-band Mini SAR system for UAV is proposed, including the system design proposal and composition,high linearity analog phase-locked frequency modulation, MilliMeter Wave (MMW) substrate integratedwaveguide antenna, 3D integration and motion compensation methods to solve the key problems of Mini SAR.A W-band Mini SAR prototype is developed and the imaging test based on Multi-rotor UAV is proceeded.

zh-cn	研究结果表明，原理样机在系统分辨率、体积、重量等方面具有处于业内领先水平，飞行试验获得了聚焦效果良好的高信噪比(SNR)图像。
en-us	Theresults show that the resolution, volume and the weight of Mini SAR prototype is at the industry-leading level.A high SNR imaging with perfect focusing effect is obtained from flight test.

zh-cn	针对Apriori算法与FP-Growth算法在最大频繁项集挖掘过程中存在的运行低效、内存消耗大、难以适应稠密数据集的处理、影响大数据价值挖掘时效等问题，该文提出一种基于邻接表的最大频繁项集挖掘算法。
en-us	To solve the problems of Apriori algorithm and FP-Growth algorithm in the process of mining the maximal frequent itemsets, which refer to inefficient operation, high memory consumption, difficulty in adapting to the process of dense datasets, and affecting the time-effectiveness of large data value mining, this paper proposes a maximal frequent itemsets mining algorithm based on adjacency table.

zh-cn	该算法只需遍历数据库一次，同时用哈希表对邻接表进行辅助存储，减小了遍历的空间规模。
en-us	The algorithm only needs to traverse the database once and adopts the hash table to store the adjacency table, which reduces the memory consumption.

zh-cn	理论分析与实验结果表明，该算法时间与空间复杂度较低，提高了最大频繁项集挖掘速率，尤其在处理稠密数据集时具有较好的优越性。
en-us	Theoretical analysis and experimental results show that the algorithm has lower time and space complexity and improves the mining rate of maximal frequent itemsets, especially when dealing with dense datasets.

zh-cn	树增强朴素贝叶斯(TAN)结构强制每个属性结点必须拥有类别父结点和一个属性父结点，也没有考虑到各个属性与类别之间的相关性差异，导致分类准确率较差。
en-us	The structure of Tree-Augmented Naïve Bayes (TAN) forces each attribute node to have a class node and a attribute node as parent, which results in poor classification accuracy without considering correlation between each attribute node and the class node.

zh-cn	为了改进TAN的分类准确率，该文首先扩展TAN结构，允许属性结点没有父结点或只有一个属性父结点；
en-us	In order to improve the classification accuracy of TAN, firstly,the TAN structure is proposed that allows each attribute node to have no parent or only one attribute node asparent.

zh-cn	提出一种利用可分解的评分函数构建树形贝叶斯分类模型的学习方法，采用低阶条件独立性(CI)测试初步剔除无效属性，再结合改进的贝叶斯信息标准(BIC)评分函数利用贪婪搜索获得每个属性结点的父结点，从而建立分类模型。
en-us	Then, a learning method of building the tree-like Bayesian classifier using a decomposable scoring function is proposed. Finally, the low-order Conditional Independency (CI) test is applied to eliminating the useless attribute, and then based on improved Bayesian Information Criterion (BIC) function, the classification model with acquired the parent node of each attribute node is established using the greedy algorithm.

zh-cn	对比朴素贝叶斯(NB)和TAN，构建的分类器在多个分类指标上表现更好，说明该方法具有一定的优越性。
en-us	Through comprehensive experiments, the proposed classifier outperforms Naïve Bayes (NB) and TAN on multiple classification, and the results prove that this learning method has certain advantages.

zh-cn	异构签密可以保证异构密码系统之间数据的机密性和不可伪造性。
en-us	Heterogeneous signcryption can ensure the confidentiality and unforgeability of information data between different cryptosystems systems.

zh-cn	该文分析了一个传统公钥密码(PKI)和身份密码(IBC)之间的PKI→IBC和IBC→PKI双向匿名异构签密方案的安全性，指出PKI→IBC方案和IBC→PKI方案均不能抵挡敌手攻击，敌手在获取密文前提下均可解密密文。
en-us	Security for the traditional Public Key Infrastructure (PKI) andIdentity-Based Cryptosystem (IBC) two-way and anonymous heterogeneous signcryption scheme betweenPKI→IBC and IBC→PKI is analyzed. It is pointed out that PKI→IBC scheme and IBC→PKI scheme can notresist adversary attacks. The ciphertext can be decrypted under the adversary obtaining the ciphertext.

zh-cn	为了增强安全性，该文提出一个改进的PKI→IBC和IBC→PKI方案，并在随机预言模型下基于计算性Diffie-Hellman困难问题和双线性Diffie-Hell-man困难问题证明新方案满足机密性与不可伪造性。
en-us	To enhance security, a new PKI→IBC and IBC→PKI scheme is proposed, and then confidentiality and unforgeability of the scheme in the random oracle model on the basis of the assumptions of Computational Diffie-Hellman problem and Bilinear Diffie-Hellman problem is proved.

zh-cn	同时效率分析表明，所提方案具有更高的通信效率。
en-us	The efficiency analysis shows that thenew scheme has higher communication efficiency.

zh-cn	为解决用户在混币过程中无法请求退出的问题，该文提出一种支持用户匿名撤销混币的方案。
en-us	In order to solve the problem that users can not request to exit during the bitcoin confusion process,an anonymous revocation scheme for Bitcoin confusion is proposed.

zh-cn	采用承诺技术将用户和其目的地址进行绑定；
en-us	The commitment is used to bind the user with its destination address.

zh-cn	当用户请求退出混洗服务时，利用累加器和知识签名对承诺进行零知识证明。
en-us	When the user requests to quit the shuffle service, a zero-knowledge proof of the commitment is made using the accumulator and the signatures of knowledge.

zh-cn	最后将撤销用户的混淆输出地址修改为其指定的目的地址。
en-us	Finally, the shuffled output address of the user who quits the service is modified to its destination address.

zh-cn	安全性分析表明，该方案基于双离散对数问题和强RSA假设满足退群用户匿名性，且不用修改当前比特币系统即可实施。
en-us	Security analysis shows that thescheme satisfies the anonymity of the user who quits the service based on the double discrete logarithm problemand the strong RSA assumption, and can be implemented without modifying the current bitcoin system.

zh-cn	在n(n≥10)个诚实用户参与的混淆过程中，方案允许至多n–2个用户退出混币操作。
en-us	The scheme allows at most n–2 users to exit in the confusion process of n (n≥10) honest users participation.

zh-cn	为解决以软件实现的虚拟网络功能(VNF)性能受限问题，软件定义网络和网络功能虚拟化(SDN/NFV)等新型网络架构引入了硬件加速资源。
en-us	In order to deal with the limited capacity of Virtualized Network Function (VNF), hardware acceleration resources are adopted in Software-Defined Networking and Network Function Virtualization(SDN/NFV) architecture.

zh-cn	硬件加速资源的部署，使得VNF能够为日益增长的数据流量提供服务保障。
en-us	The deployment of hardware acceleration resources enables VNF to provide service guarantees for increasing data traffic.

zh-cn	该文针对已有研究未考虑具有高性能数据处理需求的服务链VNF部署问题，提出一种支持硬件加速的VNF部署模型。
en-us	To overcome the ignorance of the requirements for VNF with high processing throughput in service chain in existing researches, a model for VNF placement with hardware acceleration support is proposed.

zh-cn	该模型基于硬件加速资源的承载特性，在保证未加速VNF到商用服务器的优化部署下，优先实现交换机中加速资源的复用，并根据网络业务的性能需求，灵活调整加速资源与VNF的映射约束。
en-us	Based on the bearing characteristics of hardware acceleration resources, themodel prioritizes the reuse of acceleration resources in the switch under the optimal placement of VNF withoutacceleration to commercial servers. The mapping correlation between hardware acceleration resources and VNFis flexibly adjusted according to the requirements of network services.

zh-cn	仿真实验表明，与其他典型部署方法相比，在引入相同硬件加速资源的情况下，该模型可以承载更多的业务流量，满足服务链高性能数据处理需求，有效提高了部署在网络中加速硬件的资源利用率。
en-us	Simulation results show that the proposed model can bear more service flows and meet the high processing throughput needs of service chains than typical policies in the case of the same amount of resources, which improves effectively the resource utilization of the acceleration hardware deployed in the network.

zh-cn	LiCi是由Patil等人(2017)提出的轻量级分组密码算法。
en-us	LiCi algorithm is a newly lightweight block cipher.

zh-cn	由于采用新型的设计理念，该算法具有结构紧凑、能耗低、占用芯片面积小等优点，特别适用于资源受限的环境。
en-us	Due to its new design idea adopted by Patil et al, it has the advantages of compact design, low energy consumption and less chip area, thus is is especially suitable for resource-constrained environments.

zh-cn	目前该算法的安全性备受关注，Patil等人声称：16轮简化算法足以抵抗经典的差分攻击及线性攻击。
en-us	Currently, its security receives extensively attention, and Patilet al. claimed that the 16-round reduced LiCi can sufficiently resist both differential attack and linear attack.

zh-cn	该文基于S盒的差分特征，结合中间相遇思想，构造了一个10轮的不可能差分区分器。
en-us	In this paper, a new 10-round impossible differential distinguisher is constructed based on the differential characteristics of the S-box and the meet-in-the-middle technique.

zh-cn	基于此区分器，向前后各扩展3轮，并利用密钥编排方案，给出了LiCi的一个16轮的不可能差分分析方法。
en-us	Moreover, on the basis of this distinguisher, a 16-round impossible differential attack on LiCi is proposed by respectively extending 3-round forward and backward via the key scheduling scheme.

zh-cn	该攻击需要时间复杂度约为283.08次16轮加密，数据复杂度约为259.76选择明文，存储复杂度约为276.76数据块，这说明16轮简化的LiCi算法无法抵抗不可能差分攻击。
en-us	This attack requires a time complexity of about 283.08 16-round encryptions, a data complexity of about 259.76 chosen plain texts, and a memory complexity of 276.76 data blocks, which illustrates that the 16-round LiCi cipher can not resist impossible differential attack.

zh-cn	目前对分布式LT码(DLT)的研究仅限于信源数量较少、且只有1层中继的情况，该文提出一种能够部署在多层中继网络上的分布式LT码，即多层分布式LT码(MLDLT)。
en-us	Present researches on Distributed Luby’s Transmission (DLT) codes are restricted on several-sources and one-layer-relay networks, thus the Multiple Layers Distributed LT (MLDLT) code for multiple-layers-relays networks is proposed.

zh-cn	该码将信源进行分组，将中继进行分层，通过分层后的中继群，可以将多达几十个乃至上百个信源连接到同一个接收端，从而实现众多信源通过多层中继对同一个接收终端的分布式LT码通信。
en-us	In MLDLT, sources are grouped and realys are layered in order that scores ofsources can be connected to the only destination through the layered relays. By this scheme, the distributed communication between scores of sources and the destination can be performed.

zh-cn	通过对MLDLT码进行与或树分析，得出其中继度分布的线性优化方程。
en-us	Through the and-or tree analysis, the linear procedures for the optimization of the relays' degree distributions are derived.

zh-cn	分别在无损和有损链路上计算该码的渐进性能并进行数值仿真，结果证明MLDLT码在无损和有损链路上的错误平台都比较低。
en-us	On both lossless and lossy links, asymptotic performances of MLDLT are analized and the numberical simulations are experimented. The results demonstrate that MLDLT can achieve satisfying erasure floors on both lossless andlossy links.

zh-cn	MLDLT码非常适合于信源数量较多的多层中继网络。
en-us	MLDLT is a feasible solution for the scores-sources and multiple-layers-realys networks.

zh-cn	针对多元宇宙优化(MVO)算法中虫洞存在机制、白洞选择机制等不足，该文提出一种改进多元宇宙优化算法(IMVO)。
en-us	To overcome the mechanism shortcomings of wormhole and white hole selection in the Multi-Verse Optimizer (MVO), an Improved Multi-Universes Optimization (IMVO) algorithm is proposed.

zh-cn	设计固定概率的虫洞存在机制和前期快速收敛后期平缓收敛的虫洞旅行距离率，加快算法全局探索能力和快速迭代能力；
en-us	To speed upglobal exploration ability and quick iteration ability, this thesis designs the existence mechanism of wormhole with fixed probability and the Travel Distance Rate (TDR) that its convergence from early stage's smoothly to later stage's fast.

zh-cn	提出黑洞的随机白洞选择机制，设计黑洞围绕白洞恒星进行公转并模型化，解决代间宇宙信息沟通的问题，中低维度数值比较实验验证了改进算法的优良性能。
en-us	The random white hole selection mechanism is proposed; Black holes can revolve aroundselected white hole stars and is modelled to solve the problem of information communication of the Inter-generational Universes. The performance of IMVO is verified by comparison experiments in low-middle dimensions.

zh-cn	选取大规模实值问题较难优化的3个基准测试函数进行对比实验，改进算法在大规模优化问题上的求解精度和成功率方面具有较好的适用性和鲁棒性。
en-us	Three benchmarks test functions are selected for comparison in large scale which are difficult to be optimized, the experimental results show that IMVO has good applicability and robustness with higher solving accuracy and success rate in large scale optimization problem.

zh-cn	为满足各工程应用领域对于高精度时间频率同步的需求，降低系统复杂度，保障大规模光纤时频传递网络的顺利建设，该文提出基于伪码调制技术的光纤时间频率一体化传递方法，
en-us	To satisfy the demand of the high precision time and frequency synchronization for engineering application, to reduce system complexity and ensure the construction of large-scale optical fiber network for time and frequency transmission, a method of high precision time and frequency integration transfer via optical fiber based on pseudo-code modulation is developed.

zh-cn	设计并搭建了光纤时间频率一体化传递系统，完成了光纤单向和双向时频一体化传递。
en-us	The optical fiber time and frequency transfer system is designed and built. The unidirectional and bidirectional time and frequency transfer test via optical fiber are completed.

zh-cn	在单向时频传递试验中，分析了温度变化对于系统传输时延的影响；
en-us	In the unidirectional time-frequency transfer test, the influence of temperature change on thetransmission delay of the system is analyzed.

zh-cn	在双向时频传递试验中，实现了时间频率的高精度传递，系统附加时间传递抖动为0.28 ps/s,0.82 ps/1000 s，附加频率传递不稳定度为4.94×10–13/s, 6.39×10–17/40000 s。
en-us	In the bidirectional time-frequency transfer test, the system additional time transfer jitter is 0.28 ps/s, 0.82 ps/1000 s, the additional frequency transfer instability is 4.94×10–13/s, and 6.39×10–17/40000 s.

zh-cn	试验结果表明，该方法实现了时间、频率一体化高精度同步，且系统附加时间传递抖动优于目前各光纤时间同步方案。
en-us	The results show that the proposed method achieves high precision timeand frequency integration synchronization, and the system additional time transfer jitter is better than thecurrent optical fiber time synchronization schemes.

zh-cn	针对现有可生存虚拟网络链路保护方法无差别对待所有虚拟链路、备份资源消耗多且故障后网络恢复时延长的问题，该文提出一种核心链路感知的可生存虚拟网络链路保护(CLA-SVNLP)方法。
en-us	In order to solve the problems of all virtual links take without discrimination, high backup resource consumption and long network recovery delay after failures in existing survivable virtual network link protection methods, a Core Link Aware Survivable Virtual Network Link Protection (CLA-SVNLP) method is proposed.

zh-cn	首先，综合考虑虚拟链路动态和静态两方面因素构建虚拟链路核心度度量模型，依据虚拟网络生存性需求，对核心度较高的虚拟链路进行备份保护；
en-us	At first, the core degree metric model of virtual link is constructed by considering virtual linkdynamic and static factors. According to virtual network survivable needs, virtual links with high core degreesare protected by backup resources.

zh-cn	其次，将p圈引入可生存虚拟网络链路保护，依据虚拟网络特点构建p圈，为核心虚拟链路提供1:N保护，
en-us	Then the p-cycle is introduced into survivable virtual network linkprotection and the p-cycle is constructed based on the characteristics of virtual network to provide 1:Nprotection for core virtual links.

zh-cn	即每条核心虚拟链路平均消耗1/N条的备份链路带宽资源以减少备份链路资源消耗，并将单物理链路保护问题转化为多个p圈内的单虚拟链路保护问题；
en-us	That means each core virtual link consumes 1/N backup link bandwidth resources and the backup link resource consumption is reduced. It also transforms the single physical link protection into single virtual link protection in multiple p-cycles.

zh-cn	最后网络编码技术与p圈结合，将备份链路对核心虚拟链路提供的1:N保护转化为1+N保护，避免了故障后定位、检测及数据重传。
en-us	At last, the network coding and p-cycle areboth used to transform the 1:N protection into 1+N protection for core virtual links which avoids fault location,detection and data retransmission after failures.

zh-cn	仿真结果表明，该方法提高了备份资源利用率且缩短了故障后的网络恢复时延。
en-us	Simulation results show that the proposed method can improvethe utilization of backup resource and shorten the network recovery delay after failures.

zh-cn	合适的弹头结构建模是正确估计弹头参数的基础。
en-us	Appropriate warhead structure modeling is the basis for warhead parameters estimation.

zh-cn	该文提出一种描述弹头的钝头倒角锥模型，该模型将球冠散射中心和倒角散射中心看作是滑动散射中心，并引入锥体侧面遮挡效应对散射中心位置的影响，给出散射中心位置变化的一般形式；
en-us	In this paper, the warhead is modeled by the blunt-nosed chamfered cone model, which regards the spherical center and the chamfer scattering centers as the sliding centers and takes the influence of the side of the cone into account, the general form of the position of the scattering centers is given based on the model.

zh-cn	接着分析了钝头倒角锥模型各个散射中心的微动特性；
en-us	Then, the micro-motion of the scattering centers in the blunt-nosed chamfered cone model is derived.

zh-cn	在此基础上，提出了一种估计目标运动参数和结构参数的非线性优化的方法；
en-us	Based on this, a nonlinear optimization method is proposed to estimate the target's motion parameters and structural parameters.

zh-cn	最后，仿真结果验证了该文模型的正确性及参数估计方法的有效性。
en-us	Finally,simulation results verify the correctness of the model and the effectiveness of the parameter estimation method.

zh-cn	得益于数字储频技术的快速发展，间歇采样转发干扰(ISRJ)得到广泛应用，现有抗干扰方法尚无法有效对抗此种干扰。
en-us	Benefiting from the rapid development of digital frequency storage technology, the Intermittent Sampling Repeater Jamming(ISRJ) is widely used. Existing radar anti-jamming means are hard to against this jamming effectively.

zh-cn	在深入研究ISRJ的基础上，针对其时域采样不连续的特点，该文提出一种基于LFM分段脉冲压缩的抗间歇采样干扰方法。
en-us	Based on the analysis of the principles of the ISRJ, for the discontinuities of ISRJ in time domain, an anti-ISRJ method based on LFM segmented pulse compression is proposed.

zh-cn	该方法利用LFM分段信号之间的正交性，结合掩护波形的思想，通过窄带滤波器组对干扰和目标进行分选，然后剔除干扰，最后在脉内和脉间进行积累。
en-us	This method utilizes the orthogonality between LFM segmented signals, combines with cover waveform concept, distinguishes jamming and target through narrow band filter group, then suppresses jamming, finally accumulates signals in intra-pulse and inter-pulse.

zh-cn	理论分析和仿真结果表明，分段脉冲压缩方法能有效对抗多干扰机情况下不同样式的间歇采样干扰组合。
en-us	Theoretical analysis and experimental results show the anti-ISRJ method can effectively resist the intermittent sampling interference which combines with different styles of multiple jammers.

zh-cn	该文提出一种基于Mann-Whitney秩和检验的无线局域网(WLAN)室内映射与定位方法。
en-us	The Mann-Whitney rank sum test based Wireless Local Area Network (WLAN) indoor mapping and localization approach is proposed.

zh-cn	该方法首先根据实际定位精度需求对目标区域中的运动路径进行分段，同时基于Mann-Whitney秩和检验方法合并相似运动路径片段；
en-us	Firstly, according to the localization accuracy requirement, this approach performs the motion paths segmentation in target area, and meanwhile merges the similar motion path segments based on the Mann-Whitney rank sum test.

zh-cn	然后，利用一种基于相似接收信号强度(RSS)序列片段的信号聚类算法，保证同一聚类中RSS样本的物理邻接关系；
en-us	Then, a signal clustering algorithm based on the similarReceived Signal Strength (RSS) sequence segments is adopted to guarantee the physical adjacency of the RSSsamples in the same cluster.

zh-cn	最后，通过骨干节点的扩散映射，建立物理与信号空间的映射关系，实现对运动用户的定位。
en-us	Finally, the backbone nodes based diffusion mapping is used to construct the mapping relations between the physical and signal spaces, and the motion user localization is consequently achieved.

zh-cn	实验结果表明，相比于已有WLAN室内映射与定位方法，该文方法在无需运动传感器辅助和构建位置指纹数据库的条件下，能够实现更高的映射与定位精度。
en-us	The experimental results indicate that compared with the existing WLAN indoor mapping and localization approaches, the proposed one is able to achieve higher mapping and localization accuracy without motion sensor assistance or location fingerprint database construction.

zh-cn	在云接入网络(Cloud-RAN)中，现有工作大多假定射频拉远头(RRH)不具备缓存功能。
en-us	In Cloud Radio Access Network (Cloud-RAN), most of the existing work assumes Remote RadioHeads (RRHs) could not cache content.

zh-cn	然而下一代通信网络具有以内容为中心的特性，因此在Cloud-RAN中考虑带缓存的RRHs也变得有必要。
en-us	To better adapt the content-centric feature of next-generation communication networks, it is necessary to consider caching function for RRHs in Cloud-RAN.

zh-cn	该文考虑在Cloud-RAN中有效设计缓存方案，并通过资源分配有效减轻前程链路负担。
en-us	Motivated by this, this paper intends to design the suitable caching schemes and reduce the burden of fronthaul link burden through resource allocation.

zh-cn	假设系统采用正交频分多址接入(OFDMA)技术，通过联合优化子载波(SC)分配，RRH选择与传输功率，最小化系统下行总功耗，并通过拉格朗日对偶分解转化非凸问题，获得最优分配方案。
en-us	It is assumed the system utilizes Orthogonal Frequency Division Multiple Access(OFDMA) technique. A jointly optimization scheme of SubCarrier (SC) allocation, RRH selection, andtransmission power is proposed to minimize the total downlink power consumption. To transform the originalnon-convex problem, a Lagrange dual decomposition is utilized to design the optimal allocation scheme.

zh-cn	仿真结果表明，比起其它缓存方案，该文提出的优化算法可以有效地提升系统能效，满足未来通信需求。
en-us	The experimental results show that the proposed algorithms can effectively improve the energy efficiency of the system, which meets the requirements of green communication in the future.

zh-cn	针对期望信号波达角(DOA)估计误差较大时相干波束形成性能下降的问题，该文提出一种基于多级阻塞的稳健相干自适应波束形成算法。
en-us	Since the performance of adaptive beamforming algorithm for coherent signals degrades when the estimation error in the Direction Of Arrival (DOA) of the desired signal is large, a new multistage blocking based beamforming algorithm for coherent interference suppression is proposed.

zh-cn	该算法首先定义阻塞矩阵，推导多级阻塞原理，并利用其滤除阵列接收信号中的期望信号；
en-us	Firstly, the blocking matrix isconstructed and the principle of multistage blocking is derived, with which the received signal is processed toremove the desired signal component.

zh-cn	然后给出空间中只存在期望信号时，子阵与全阵间阵列流型的映射关系，据此推导全阵扩展变换，并证明其在干扰信号存在条件下的有效性；
en-us	Then the mapping between the array manifold of sub-aperture array andthe full-aperture array is analyzed when only the desired signal exists in the space. On this basis, the extension transformation is derived with its effectiveness proved in the presence of interference signals.

zh-cn	最终利用扩展变换获取全阵最优权矢量，实现相干波束形成。
en-us	At last, the optimal weight vector of the adaptive beamformer for coherent interference is obtained by extension transformation.

zh-cn	该算法对期望信号波达角估计误差稳健，且无需干扰信号来向的先验信息，同时可以有效避免阵列孔径的损失。
en-us	Requiring no prior information of the DOA of the interference signals, the new method is robust to the DOA estimation error, and can avoid the loss of array aperture.

zh-cn	仿真分析验证了算法的优越性和理论分析的有效性。
en-us	The effectiveness and superiority of the new algorithm are verified by simulation analysis.

zh-cn	随着对地观测技术的发展，要求SAR系统能够同时实现高分辨率和宽测绘带，天基阵列多通道SAR结合数字波束形成(DBF)技术为解决该问题提供了很好的思路，
en-us	With the development of earth remote sensing technology, SAR system is required to obtain high resolution and wide swath simultaneously, the space borne array SAR combined with Digital Beam Forming(DBF) technology provides a good solution to solve the problem.

zh-cn	但各个通道之间相位误差会很大程度上降低DBF的性能，常规通道误差补偿方法估计精度不足，应用场景受限。
en-us	However, the phase error between channels will degrade the quality of DBF, and the traditional compensation methods suffer from large error or limited application.

zh-cn	针对上述问题，该文提出一种基于方向图和多普勒相关系数的天基阵列SAR通道相位误差补偿方法，不仅利用天线方向图先验信息，还充分利用场景不同多普勒相关性信息，通过最小化天线方向图和多普勒的组合差异，实现对通道之间相位误差的估计。
en-us	In this paper, a compensation method based on antenna pattern and Doppler correlation coefficient is proposed, using the antenna pattern and meanwhile utilizing the Doppler correlation coefficient. By minimizing the combined cost function, the phase error between channels are estimated.

zh-cn	结合RADAR-SAT数据的仿真试验结果验证了该算法的有效性。
en-us	Simulation resultsusing RADAR-SAT data validate the effectiveness of the proposed method.

zh-cn	基于非相似余度架构(DRS)的网络空间安全技术是一种主动防御技术，其利用非相似性、冗余性等特性阻断或者扰乱网络攻击，以提高系统的可靠性和安全性。
en-us	The Dissimilar Redundancy Structure (DRS) based cyberspace security technology is an active defense technology, which uses features such as dissimilarity and redundancy to block or disrupt network attacks to improve system reliability and security.

zh-cn	该文在研究异构性是如何提高系统的安全性的基础上，指出对异构性进行量化评估的重要性，将DRS的异构性定义为其执行体集的复杂性与差异性，并依此提出一种量化异构性的方法。
en-us	By analyzing how heterogeneity can improve the security of the system, the importance of quantification of heterogeneity is pointed out and the heterogeneity of DRS is defined as the complexity and disparity of its execution set. A new method which is suitable for quantitative heterogeneity is also proposed.

zh-cn	实验结果表明，该方法可以将10个执行体集分为9类，而香浓-维纳指数、辛普森指数和Pielou指数只能分为4类。
en-us	The experimental results show that this method can divide 10 execution sets into 9 categories, while the Shannon-Wiener index, Simpson index and Pielou index can only divide into 4 categories.

zh-cn	在理论上为DRS异构性量化评估提供了一种新方法，并为工程实现DRS系统提供了指导。
en-us	This paper provides a new method to quantify the heterogeneity of DRS in theory, and provides guidance for engineering DRS systems.

zh-cn	为解决基于稀疏阵列的宽带欠定信号到达角(DOA)估计问题，该文提出基于分布式压缩感知(DCS)的宽带DOA估计算法。
en-us	In order to realize underdetermined wideband Direction Of Arrival(DOA) estimation based on sparse array, an algorithm on account of Distributed Compressive Sensing(DCS) is proposed.

zh-cn	首先，对稀疏阵列宽带信号处理模型进行理论推导与分析，将宽带信号DOA估计建模成DCS问题；
en-us	Firstly, wideband signal processing model based on sparse array is deduced and the underdetermined wideband DOA estimation is formulated as a DCS problem.

zh-cn	其次，利用经典DCS算法实现稀疏阵列上的宽带欠定信号DOA估计；
en-us	Then, the DCS-Simultaneous Orthogonal Matching Pursuit(DCS-SOMP)algorithm is utilized to solve this problem.

zh-cn	最后，引入网格失配误差，建立包含网格失配参数的DCS模型，并进行迭代求解，实现对DOA和网格失配参数的联合估计。
en-us	Finally, the off-grid problem is considered and a joint DCS model containing off-grid parameters is established. Estimations of DOAs and off-grid parameters are achieved through iterative solution.

zh-cn	仿真结果表明，该算法具备分辨率高、运算速度快的优点。
en-us	Simulation results show that the proposed algorithm is effective and have advantages in resolution and computational complexity.

zh-cn	针对极化码连续取消列表(SCL)译码算法为获取较好性能而采用较多的保留路径数，导致译码复杂度较高的缺点，自适应SCL译码算法虽然在高信噪比下降低了一定的计算量，却带来了较高的译码延时。
en-us	Considering the problem that using a large number of reserved paths causes higher complexity in order to obtain better performance for polar code Successive Cancellation List (SCL) decoding, the adaptiveSCL decoding algorithm at a high Signal to Noise Ratio (SNR) reduces a certain amount of calculations, however, brings a higher decoding delay.

zh-cn	根据极化码的顺序译码结构，该文提出了一种分段循环冗余校验(CRC)与自适应选择保留路径数量相结合的SCL译码算法。
en-us	According to the order of polar code decoding, an SCL decodingalgorithm combining segmentation Cyclic Redundancy Check (CRC) with adaptively selecting the number ofreserved paths is proposed.

zh-cn	仿真结果表明，与传统CRC辅助SCL译码算法、自适应SCL译码算法相比，该算法在码率R=0.5时，低信噪比下(–1 dB)复杂度降低了约21.6%，在高信噪比下(3 dB)复杂度降低了约64%，同时获得较好的译码性能。
en-us	The simulation results show that compared with the traditional CRC-assisted SCL decoding algorithm and adaptive-SCL algorithm, when the code rate is R=0.5, the complexity under low SNR(–1 dB) is reduced by about 21.6%, and the complexity at high SNR (3 dB) is reduced by about 64%, at the same time, better decoding performance is obtained.

zh-cn	基于微机电系统(MEMS)的惯性器件和全球定位系统(GPS)的组合导航系统在卫星信号失锁时存在误差发散的问题，该文提出一种基于人工蜂群算法(ABC)改进的径向基函数(RBF)神经网络增强改进的自适应无迹卡尔曼滤波算法(AUKF)。
en-us	In order to solve the problem of speed and position error divergence in the integrated navigation system based on MicroElectro Mechanical Systems (MEMS) inertial device and GPS system combined positioning, an improved Adaptive Unsecnted Kalman Filter (AUKF) enhanced by the Radial BasisFunction(RBF) neural network based on Artificial Bee Colony(ABC) algorithm is proposed.

zh-cn	在GPS信号失锁的情况下利用训练好的神经网络输出预测信息来对捷联惯导系统进行误差校正。
en-us	When the GPSsignal is out of lock, the trained network outputs predictied information to perform error correction on theStrapdown Inertial Navigation System(SINS).

zh-cn	最后通过车载半实物仿真实验验证该方法的性能。
en-us	Finally, the performance of the method is verified by vehicle-mounted semi-physical simulation experiments.

zh-cn	实验结果表明该方法在失锁情况下对于捷联惯导系统的误差发散有较为明显的抑制效果。
en-us	The experimental results show that the proposed method has asignificant inhibitory effect on the error divergence of the strapdown inertial navigation system in the case ofloss of lock.

zh-cn	针对复杂背景下目标容易发生漂移的问题，该文提出一种基于空间可靠性约束的目标跟踪算法。
en-us	Because of the problem that the target is prone to drift in complex background, a robust tracking algorithm based on spatial reliability constraint is proposed.

zh-cn	首先通过预训练卷积神经网络(CNN)模型提取目标的多层深度特征，并在各层上分别训练相关滤波器，然后对得到的响应图进行加权融合。
en-us	Firstly, the pre-trained Convolutional Neural Network (CNN) model is used to extract the multi-layer deep features of the target, and the correlation filters are respectively trained on each layer to perform weighted fusion of the obtained response maps.

zh-cn	接着通过高层特征图提取目标的可靠性区域信息，得到一个二值注意力矩阵，
en-us	Then, the reliability region information of the target is extracted through the high-level feature map, a binary matrix is obtained.

zh-cn	最后将得到的二值矩阵用于约束融合后响应图的搜索范围，范围内的最大响应值即为目标的中心位置。
en-us	Finally, the obtained binary matrix is used to constrain the search area of the response map, and the maximum response value in the area is the target position.

zh-cn	为了处理长时遮挡问题，该文提出一种基于首帧模板信息的随机选择更新策略。
en-us	In addition, in order to deal with the long-termocclusion problem, a random selection model update strategy with the first frame template information isproposed.

zh-cn	实验结果表明，该算法在应对相似背景干扰、遮挡、超出视野等多种场景均有良好的性能表现。
en-us	The experimental results show that the proposed algorithm has good performance in dealing with similar background interference, occlusion, and other scenes.

zh-cn	针对阵元间距大于信号波长引起阵列方向图出现栅瓣的问题，该文提出一种基于粒子群优化(PSO)算法的宽带真延时方向图栅瓣抑制方法。
en-us	A grating lobe suppression method of wideband real time delay pattern based on Particle Swarm Optimization(PSO) algorithm is proposed to solve the problem of grating lobe arise from inter-element is larger than wavelength.

zh-cn	该方法首先定义了基于宽带真延时的阵列能量方向图，其次构造了以阵列能量方向图的最高副瓣电平作为适应度函数，最后利用粒子群优化算法优化阵元分布来实现对阵列方向图栅瓣的进一步抑制。
en-us	Firstly, the array energy pattern based on wideband real time delay is defined. Then, a fitnessfunction is constructed with maximum sidelobe level of the array energy pattern. Finally, the grating lobe isfurther suppressed by optimizing the elements position distribution using Particle Swarm Optimization (PSO)algorithm.

zh-cn	仿真结果表明：相比于单独使用粒子群算法和单独使用宽带真延时方法，该方法对方向图栅瓣的抑制性能更加有效，
en-us	The simulation results show that the proposed grating lobes suppression method is more effective than individually using the particle swarm optimization method or the wideband real time delay method.

zh-cn	在此基础上，该文还研究了阵元个数、平均阵元间距、信号时宽和信号中心频率等因素对方法抑制栅瓣性能的影响。
en-us	Furthermore, the influence of the element space, the element number, the time width and the center frequency of signal on the performance of grating lobe suppression are studied.

zh-cn	随着机器学习被广泛的应用，其安全脆弱性问题也突显出来。
en-us	As machine learning is widely applied to various domains, its security vulnerability is also highlighted.

zh-cn	该文提出一种基于粒子群优化(PSO)的对抗样本生成算法，揭示支持向量机(SVM)可能存在的安全隐患。
en-us	A PSO (Particle Swarm Optimization) based adversarial example generation algorithm is proposed to reveal the potential security risks of Support Vector Machine (SVM).

zh-cn	主要采用的攻击策略是篡改测试样本，生成对抗样本，达到欺骗SVM分类器，使其性能失效的目的。
en-us	The adversarial examples, generated by slightly crafting the legitimate samples, can mislead SVM classifier to give wrong classification results.

zh-cn	为此，结合SVM在高维特征空间的线性可分的特点，采用PSO方法寻找攻击显著性特征，再利用均分方法逆映射回原始输入空间，构建对抗样本。
en-us	Using the linear separable property of SVM in high-dimensional feature space, PSO is used to find the salient features, and then the average method is used to map back to the original input space to construct the adversarial example.

zh-cn	该方法充分利用了特征空间上线性模型上易寻优的特点，同时又利用了原始输入空间篡改数据的可解释性优点，使原本难解的优化问题得到实现。
en-us	This method makes full use of the easily finding salient features of linear models in the feature space, and the interpretable advantages of the original input space.

zh-cn	该文对2个公开数据集进行实验，实验结果表明，该方法通过不超过7%的小扰动量生成的对抗样本均能使SVM分类器失效，由此证明了SVM存在明显的安全脆弱性。
en-us	Experimental results show that the proposed method can fool SVM classifier by using the adversarial example generated by less than 7 % small perturbation, thus proving that SVM has obvious security vulnerability.

zh-cn	为了克服物理不可克隆函数(PUF)面对建模攻击的脆弱性，该文提出一种基于敏感度混淆机制的控制型PUF架构。
en-us	In order to overcome the vulnerability of Physical Unclonable Function (PUF) to modeling attacks, acontrolled PUF architecture based on sensitivity confusion mechanism is proposed.

zh-cn	根据PUF的布尔函数定义及Walsh谱理论，推导出各个激励位具有不同敏感度，分析并归纳了与混淆值位宽奇偶性有关的位置选取规则。
en-us	According to the Boolean function definition of PUF and Walsh spectrum theory, it is derived that each excitation bit has different sensitivity, and the position selection rules related to the parity of the confound value bit width are analyzed and summarized.

zh-cn	利用该规则指导了多位宽混淆算法(MWCA)的设计，构建了具有高安全性的控制型PUF架构。
en-us	This rule guides the design of the Multi-bit Wide Confusion Algorithm (MWCA) and constructs a controlled PUF architecture with high security.

zh-cn	将基础PUF结构作为控制型PUF的防护对象进行实验评估，发现基于敏感度混淆机制的控制型PUF所产生的响应具有较好的随机性。
en-us	The basic PUF structure is evaluated as a protective object of the controlled PUF. It is found that the response generated by the controlled PUF based on the sensitivity confusion mechanism has better randomness.

zh-cn	采用逻辑回归算法对不同PUF结构进行建模攻击，实验结果表明，相比基本ROPUF、仲裁器PUF以及基于随机混淆机制的OB-PUF，基于敏感度混淆机制的控制型PUF能够显著提高PUF的抗建模攻击能力。
en-us	Logistic regression algorithm is used to model different PUF attack. The experimental results show that compared with the basic ROPUF, the arbiter PUF and the OB-PUF based on the random confusion mechanism, the controlled PUF based on the sensitivity confusion mechanism can significantly improve the PUF resistance capabilities for modeling attack.

zh-cn	该文提出一种基于实值处理的联合波束域双基地多输入多输出(MIMO)雷达测角方法。
en-us	A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar is proposed.

zh-cn	与直接采用离散傅里叶变换(DFT)空域滤波器的传统波束域方法不同，该方法的空域滤波器通过凸优化方法进行设计，能够灵活控制空域滤波器的带宽并抑制旁瓣电平。
en-us	Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter, the proposed beamspace filter is designed through convex optimization, which can flexibly control the bandwidth and limit the sidelobe level.

zh-cn	基于这种特性，设计的空域滤波器的主旁瓣比能够得到很大提高，从而提高测角性能。
en-us	Based on this property, the mainlobe-to-sidelobe ratio of theproposed beamspace filter can be greatly improved, which results in the improved estimation performance.

zh-cn	更重要的是，所提算法对发射和接收波束矩阵的结构进行设计，这种特殊的结构是构造实值信号模型的必要条件。
en-us	More importantly, the structure of the proposed beamspace matrix can be properly designed, which is indispensable in constructing the real-valued signal model.

zh-cn	最后，该文通过建立映射关系的方法对插值误差进行补偿。
en-us	Finally, the mapping relationship to compensate theinterpolation error is established.

zh-cn	仿真结果验证了该算法的有效性。
en-us	Simulation results verify the effectiveness of the proposed method.

zh-cn	基于语音数据分析的帕金森病(PD)诊断存在样本量小、训练与测试数据分布差异明显的问题。为了解决这些问题，需要从降维和样本扩充两个方面同时进行。
en-us	To solve the problems that there are few labeled data in speech data for diagnosis of Parkinson’s Disease (PD), and the distributed condition of the training and the test data is different, the two aspects of dimension reduction and sample augment are considered.

zh-cn	因此，该文提出结合加噪加权卷积稀疏迁移学习和样本特征并行优选的PD分类算法。
en-us	A novel transfer learning algorithm is proposed based on noise weighting sparse coding combined with speech sample / feature parallel selection.

zh-cn	该算法可从源域的公共语音库中学习有利于表达PD语音特征的有效结构信息，同时完成降维和样本间接扩充。
en-us	The algorithm can learn the structural information from the source domain and express the effective PD features, and achieves dimension reduction and sample augment simultaneously.

zh-cn	样本特征并行优选考虑到了样本和语音特征间的关系，从而有助于获取高质量的特征。
en-us	Considering the relationship between the samples and features, the higher quality features can be extracted.

zh-cn	首先，对公共语音库进行特征提取构造公共特征库；
en-us	Firstly, the features are extracted from the public dataset and the feature data set is constructed as source domain.

zh-cn	然后，以公共特征库对PD目标域的训练数据集及测试数据集进行稀疏编码，这里分别采用传统稀疏编码(SC)与卷积稀疏编码(CSC)两种稀疏编码方法；
en-us	Then the training data and test data of the targetdomain are sparsely represented based on source domain. Spares representing includs traditional SparseCoding(SC) and Convolutional Sparse Coding(CSC);

zh-cn	接着，对编码后的语音样本段和特征数据进行同时优选；
en-us	Next, the sparse representing data are screened accordingto sample feature selection simultaneously, so as to improve the accuracy of the PD classification;

zh-cn	最后，采用支撑向量机(SVM)进行分类。
en-us	Finally, theSupport Vector Machine(SVM) classifier is adopted.

zh-cn	实验结果表明，该算法针对受试者的分类准确率最高值达到了95.0%，均值达到了86.0%，较相关被比较算法有较大提高。
en-us	Experiments show that it achieves the highest classification accuracy of 95.0% and the average classification accuracy of 86.0%, and obtains obvious improvement according to the subjects, compared with the relevant algorithms.

zh-cn	此外，研究还发现，相较于传统稀疏编码方法，卷积稀疏编码更有利于提取PD语音数据的高层特征；同样，迁移学习也有利于提高该算法性能。
en-us	Besides, compared with sparsecoding, convolutional sparse coding can be beneficial to extracting high level features from PD data set;moreover, it is proved that transfer learning is effective.

zh-cn	针对利用抽象语义(AMR)图来预测摘要子图存在的语义结构不完整问题，该文提出一种基于整数线性规划(ILP)重构AMR图结构的语义摘要算法。
en-us	In order to solve the incomplete semantic structure problem that occurs in the process of using the Abstract Meaning Representation (AMR) graph to predict the summary subgraph, a semantic summarization algorithm is proposed based on Integer Linear Programming (ILP) reconstructed AMR graph structure.

zh-cn	首先将数据预处理生成一个AMR总图；然后基于统计特征从AMR总图中抽取出摘要子图重要节点信息；
en-us	Firstly,the text data are preprocessed to generate an AMR total graph. Then the important node information of thesummary subgraph is extracted from the AMR total graph based on the statistical features.

zh-cn	最后利用ILP的方法来对摘要子图中节点关系进行重构，利用完整的摘要子图恢复生成语义摘要。
en-us	Finally, the ILPmethod is applied to reconstructing the node relationships in the summary subgraph, which is further utilizedto generate a semantic summarization.

zh-cn	实验结果表明，相比其他语义摘要方法，所提方法的ROUGE值和Smatch值都有显著提高，最多分别提高了9%和14%，该方法有利于提高语义摘要的质量。
en-us	The experimental results show that compared with other semanticsummarization methods, the ROUGE index and Smatch index of the proposed algorithm are significantlyimproved, up to 9% and 14% respectively. This method improves significantly the quality of semanticsummarization.

zh-cn	鉴于稀疏ISAR成像方法的成像质量受到待成像场景的稀疏表示不准确的限制，该文将字典学习(DL)技术引入到ISAR稀疏成像中，以提升目标成像质量。
en-us	In view of the imaging quality of sparse ISAR imaging methods is limited by the inaccurate sparserepresentation of the scene to be imaged, the Dictionary Learning (DL) technique is introduced into ISARsparse imaging to get better sparse representation of the scene.

zh-cn	该文给出基于离线DL和在线DL两种ISAR稀疏成像方法。
en-us	An off-line DL based imaging method and anon-line DL based imaging method are proposed.

zh-cn	前者通过已有同类目标ISAR图像进行学习，获得更优稀疏表示，后者在成像过程中从现有数据中通过优化获得稀疏表示。
en-us	The off-line DL imaging method can obtain a better sparserepresentation via a dictionary learned from the available ISAR images. The on-line DL imaging method canobtain the sparse representation from the data currently considered by jointly optimizing the imaging and DLprocesses.

zh-cn	仿真和实测ISAR数据成像结果表明，结合离线DL和在线DL的成像方法均可获得比现有方法更优的成像结果，离线DL成像优于在线DL成像，而且前者计算效率优于后者。
en-us	The results of both simulated and real ISAR data show that the on-line DL imaging method and the off-line dictionary imaging method are both able to better sparsely represent the target scene leading to better imaging results. The off-line DL based imaging method works better than the on-line DL based imaging methodwith respect to both imaging quality and computational efficiency.

zh-cn	水下线谱目标被动检测中，目标辐射线谱信号的方位、频率、个数等信息通常未知，且线谱检测性能容易受到宽带干扰及背景噪声的影响。
en-us	For the passive detection of underwater line-spectrum target, the information such as the azimuth,frequency and the number of the line-spectrum signals is usually unknown, and the line-spectrum detectionperformance is affected by broadband interferences and noise.

zh-cn	针对此问题，该文提出一种时空域联合的未知线谱目标检测方法(STJD)。
en-us	For this issue, a Space-Time Joint Detecion(STJD) method of detecting the unknown line-spectrum target by space-time domain processing is proposed.

zh-cn	首先，利用线谱信号的相干特性，构建了一种能够自主匹配未知线谱信号的时空域联合滤波器，用以滤除接收信号中的宽带背景干扰及噪声。
en-us	Firstly, a space-time filter that autonomously matches the unknown line-spectrum signals is constructed tofilter out the broadband interferences and noise.

zh-cn	之后，对滤波信号进行常规频域波束形成得到空时2维波束输出，其具有相对纯净的线谱谱峰。
en-us	Secondly, the conventional frequency domain beamforming isperformed on the filtered signals, and then a space-time two-dimensional beam output with relatively pure line-spectrum spectral peaks is obtained.

zh-cn	在此基础上提取线谱并利用线谱信息计算空间方位谱，进而实现对线谱目标的检测。
en-us	The line-spectrum signals are extracted from the space-time two-dimensional beam output, and the spatial spectrum is calculated using the extracted line-spectrum information.Then, the detection of the line-spectrum target is realized.

zh-cn	理论推导及仿真结果表明该文方法能够对未知线谱信号进行最小均方误差意义下的时空滤波，并能充分地利用线谱信息进行线谱目标的被动检测。
en-us	Theoretical derivation and simulation results verify that the proposed method performs the spatio temporal filtering on the unknown line-spectrum signals in the minimum mean square error sense, and fully utilizes the line-spectrum information for the passive detection of underwater line-spectrum target.

zh-cn	与已有基于线谱特征的线谱目标检测方法相比，该文方法对信噪比(SNR)的要求较低，在多目标、多线谱等复杂情况下具有较好的线谱目标检测性能。
en-us	Compared with the existing line-spectrum target detection methods utilizing the line-spectrum features, the proposed method requires lower Signal to Noise Ratio (SNR), and has better detection performance under the complex multi-target multi-spectrum-line conditions.

zh-cn	在复杂的室内环境中，测得的接收信号强度(RSS)值会出现不同程度的波动，导致无法准确地刻画出无线信号传播模型。
en-us	In complex indoor environment, the measured Received Signal Strength (RSS) values will fluctuate indifferent degrees, which lead to inaccurate characterization of wireless signal propagation model.

zh-cn	为了解决这个问题，在基于Wi-Fi测距定位模型下，该文提出一种普适的粗粒度定位方法。
en-us	To solve thisproblem, a universal coarse grained localization method is proposed based on the Wi-Fi ranging location model.

zh-cn	该方法通过对测量到的RSS值进行拟合，以此获取信号的传播模型；
en-us	This method gets the signal propagation model by fitting the measured RSS value.

zh-cn	在此基础上计算出未知节点与接入点(AP)的距离，再利用天牛须算法实现未知节点定位，通过仿真验证此传播模型的性能以及该优化算法的有效性。
en-us	On this basis, the distancebetween the unknown node and the Access Point (AP) is calculated, then the location of the unknown node isrealized by the beetle antennae search algorithm. The performance of the propagation model and the effectiveness of the optimization algorithm are verified by simulation.

zh-cn	针对传统单通道异步直接序列码分多址(DS-CDMA)信号信息序列及伪码序列(PN)难以估计的问题，该文提出一种基于平行因子(PARAFAC)的多通道盲估计方法。
en-us	For the problem of Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditionalasynchronous single-channel, including blind estimation of the Pseudo-Noise (PN) sequence and informationsequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor(PARAFAC) is proposed.

zh-cn	该方法首先将信号建模为多通道接收模型，然后将观测数据矩阵等效为平行因子模型，
en-us	Firstly, the signal is modeled as a multi-channel receiving model, then the observeddata matrix is equivalent to a factor model.

zh-cn	最后使用迭代最小二乘算法对平行因子进行低秩分解，进一步完成对DS-CDMA信号各用户的信息序列及伪码序列进行估计。
en-us	Finally, the iterative least squares algorithm is applied todecomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals arefurther estimated.

zh-cn	仿真实验表明，该方法不仅能有效地对同步、异步短码DS-CDMA信号的伪码序列及信息序列进行估计，而且能在通道数为6、信噪比(SNR)为–10 dB的条件下，实现10个用户伪码序列的有效估计。
en-us	The simulation results show that the proposed method can effectively estimate the PNsequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PNsequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio(SNR) is –10 dB.

zh-cn	针对现有研究中缺乏云无线接入网络(C-RAN)场景下对网络切片高效的动态资源分配方案的问题，该文提出一种虚拟化C-RAN网络下的网络切片虚拟资源分配算法。
en-us	To solve the problem of lacking efficient and dynamic resource allocation schemes for 5G Network Slicing (NS) in Cloud Radio Access Network (C-RAN) scenario in the existing researches, a virtual resource allocation algorithm for NS in virtualized C-RAN is proposed.

zh-cn	首先基于受限马尔可夫决策过程(CMDP)理论建立了一个虚拟化C-RAN场景下的随机优化模型，该模型以最大化平均切片和速率为目标，同时受限于各切片平均时延约束以及网络平均回传链路带宽消耗约束。
en-us	Firstly, a stochastic optimization model invirtualized C-RAN network is established based on the Constrained Markov Decision Process (CMDP) theory,which maximizes the average sum rates of all slices as its objective, and is subject to the average delayconstraint for each slice as well as the average network backhaul link bandwidth consumption constraint in themeantime.

zh-cn	其次，为了克服CMDP优化问题中难以准确掌握系统状态转移概率的问题，引入决策后状态(PDS)的概念，将其作为一种“中间状态”描述系统在已知动态发生后，但在未知动态发生前所处的状态，其包含了所有与系统状态转移有关的已知信息。
en-us	Secondly, in order to overcome the issue of having difficulties in acquiring the accurate transition probabilities of the system states in the proposed CMDP optimization problem, the concept of Post-DecisionState (PDS) as an “intermediate state” is introduced, which is used to describe the state of the system after the known dynamics, but before the unknown dynamics occur, and it incorporates all of the known information about the system state transition.

zh-cn	最后，提出一种基于在线学习的网络切片虚拟资源分配算法，其在每个离散的资源调度时隙内会根据当前系统状态为每个网络切片分配合适的资源块数量以及缓存资源。
en-us	Finally, an online learning based virtual resource allocation algorithm ispresented for NS in virtualized C-RAN, where in each discrete resource scheduling slot, it will allocateappropriate Resource Blocks (RBs) and caching resource for each network slice according to the observedcurrent system state.

zh-cn	仿真结果表明，该算法能有效地满足各切片的服务质量(QoS)需求，降低网络回传链路带宽消耗的压力并同时提升系统吞吐量。
en-us	The simulation results reveal that the proposed algorithm can effectively satisfy the Quality of Service (QoS) demand of each individual network slice, reduce the pressure of backhaul link onbandwidth consumption and improve the system throughput.

zh-cn	该文给出了一般的2次多项式混沌系统与Tent映射拓扑共轭的充分条件，并依据该条件，给出了一类2次多项式混沌系统及其概率密度函数；进一步得到了能够将这类系统均匀化的变换函数；
en-us	A sufficient condition for general quadratic polynomial systems to be topologically conjugate with Tent map is proposed. Base on this condition, the probability density function of a class of quadratic polynomial systems is provided and transformations function which can homogenize this class of chaotic systems is further obtained.

zh-cn	给出了一个新的2次多项式混沌系统并进行均匀化处理，对其产生的序列进行了信息熵、Kolmogorov熵和离散熵分析，结果显示该均匀化方法的均匀化效果显著且不改变序列混沌程度。
en-us	Numerical simulations show that the information entropy of the uniformly distributed sequences is closer to the theoretical limit and its discrete entropy remains unchanged. In conclusion, with such homogenization method all the chaotic characteristics of the original system is inherited and better uniformity is performed.

zh-cn	为了更好地对3D视频中深度图进行编码，该文将3维高效视频编码(3D-HEVC)标准新引入了深度建模模式(DMMs)，新模式在提高了编码质量的同时改进了原有算法的复杂度。
en-us	In order to encode better the depth maps in 3D video, the 3D-High Efficiency Video Coding (3D-HEVC) standard is introduced in Depth Modeling Modes(DMMs), which increase the quality of originalalgorithm while improving the encoding complexity.

zh-cn	在设计DMM-1编码器电路时，传统架构电路的编码周期均较长，只能满足较低分辨率和帧率的视频实时编码要求。
en-us	The traditional architecture of DMM-1 encoder circuit has a longer coding period and can only meet real-time coding requirements of lower resolution and frame rate.

zh-cn	为了进一步提高3D-HEVC中DMM-1编码器的性能，该文对DMM-1算法架构进行了研究，针对其中楔形块评估无数据相关性的特点，提出了一种5级流水线架构的DMM-1编码器硬件电路，以期能够降低一个深度块编码所需的编码周期，并使用Verilog HDL进行实现。
en-us	In order to improve the performance of DMM-1 encoder, the structure of DMM-1 algorithm is researched and a five-stage pipeline architecture of DMM-1 encoder is proposed. The pipeline architecture can reduce the codingcycles. The architecture is implemented by Verilog HDL.

zh-cn	实验表明：该架构与Sanchez等人(2017年)的工作相比，以电路门数增加约1568门为代价，可减少至少52.3%的编码周期。
en-us	Experiments show that this architecture can reducethe coding cycle by at least 52.3%, at the cost of 1568 gates compared to previous work by Sanchez G. et al.(2017).

zh-cn	天波超视距雷达(OTHR)舰船目标的检测性能受目标区海杂波的影响严重，准确且自适应的海杂波抑制效能对改善低可探测舰船目标的检测性能意义重大。
en-us	The detection performance of ship targets by skywave Over-The-Horizon Radar (OTHR) is affectedby the sea clutter seriously. Accurate and adaptive suppression of sea clutter is significant for improving the detection performance of ship target.

zh-cn	该文针对基于高阶奇异值分解(HOSVD)的海杂波抑制算法非自适应机制的不足，通过引入峰值信噪比(PSNR)，提出一种改进的基于PSNR-HOSVD的自适应算法。
en-us	To solve the non-adaptive shortness of the sea clutter suppressionalgorithm based on High-Order Singular Value Decomposition (HOSVD), a modified adaptive algorithm basedon Peak Signal-to-Noise Ratio (PSNR)-HOSVD is proposed by introducing the PSNR.

zh-cn	该算法仅利用第3等效模式展开矩阵的左奇异向量构造一个投影矩阵，相比于HOSVD算法，该文算法可有效降低计算复杂度，
en-us	The modified algorithm has a smaller computational complexity than the one based on HOSVD, since only one projection matrix is established from the left singular vectors of the third-mode unfolding matrix.

zh-cn	同时由于海杂波仅在第3等效模式展开矩阵的列空间中具有聚集特性，因此该文算法具有比HOSVD算法更好的海杂波抑制性能。
en-us	Meanwhile, the modified algorithm has a better performance than the HOSVD based one, because the components of sea clutter are only aggregated in the column space of the third-mode unfolding matrix.

zh-cn	实测数据处理结果表明，在电离层状态理想和非理想的情况下，该文PSNR-HOSVD自适应算法的性能均优于EVD自适应算法和HOSVD非自适应算法。
en-us	Experimental results based on two sets of measured data received in ideal and non-ideal situations in respective show that, the modified adaptive algorithm based on PSNR-HOSVD has a better performance than the peer algorithms.

zh-cn	本体作为指导知识图谱数据构建的上层结构，在知识图谱技术中具有重要意义。
en-us	Ontology, as the superstructure of knowledge graph, has great significance in knowledge graph domain.

zh-cn	本体在发展的过程中会形成结构上的冗余。
en-us	In general, structural redundancy may arise in ontology evolution.

zh-cn	现有的本体消冗方法无法处理含有等价关系的本体结构，只能针对单一类属关系进行冗余的检测与消除。
en-us	Most of existing redundancy elimination algorithms focus on transitive redundancies while ignore equivalent relations.

zh-cn	该文针对含有等价关系的本体提出一种基于超节点理论的消冗算法，
en-us	Focusing on this problem, a redundancy elimination algorithm based on super-node theory is proposed.

zh-cn	首先将相互等价的节点看作超节点，消除单一类属关系之间的的冗余；
en-us	Firstly, the nodesequivalent to each other are considered as a super-node to transfer the ontology into a directed acyclic graph.Thus the redundancies relating to transitive relations can be eliminated by existing methods.

zh-cn	然后还原等价节点，消除等价关系与类属关系之间的冗余。
en-us	Then equivalent relations are restored, and the redundancies between equivalent and transitive relations are eliminated.

zh-cn	在计算机生成网络和真实网络上的实验和分析表明，该算法能够准确识别关系冗余，具有较高的稳定性和综合性能。
en-us	Experiments on both synthetic dynamic networks and real networks indicate that the proposed algorithm candetect redundant relations precisely, with better performance and stability compared with the benchmarks.

zh-cn	该文提出一种载机偏航下基于广义相邻多波束(GMB)自适应处理的低空风切变风速估计的方法，
en-us	This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam (GMB) adaptive processing under aircraft yawing.

zh-cn	该方法首先利用基于回波数据的杂波距离依赖性补偿方法对杂波进行距离依赖性矫正，估计出杂波协方差矩阵。
en-us	The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix.

zh-cn	然后同时组合空域的相邻多个波束与时域的相邻多个多普勒通道来计算降维变换矩阵，并对待测距离单元内的雷达回波数据进行降维处理，进而构造GMB自适应处理器的最优自适应权矢量对降维后的回波数据实现自适应滤波。
en-us	Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously, and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data.

zh-cn	最后完成载机偏航下风场速度的准确估计。
en-us	Finally, theaccurate estimation of the wind speed under the aircraft yawing is got.

zh-cn	仿真结果验证了该方法能够在载机偏航情况下，获得风场速度的有效估计。
en-us	The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing.

zh-cn	基于宽带电力线通信(PLC)中，高斯分布的背景噪声往往不能如实反应人类日常用电活动产生的噪声特性，
en-us	In broadband Power-Line Communications (PLC), the background noise commonly assumed as Gaussian may not truly depict the effect of the human activities on noise characteristics.

zh-cn	为此，该文提出用对称 稳定(S S)分布对PLC背景噪声进行建模，研究基于正交频分复用(OFDM)系统误符号率(SER)的解析性能，并指出在S S背景噪声的情况下，对接收到的复基带S S噪声样值进行快速傅里叶变换(FFT)后，信号的实部和虚部仍然服从单变量的S S分布，
en-us	Symmetric Alpha-Stable (S S) process is used to model the PLC background noise, obtaining analytical expressions, and the analytical Symbol Error Rate (SER) performance is investigated for Orthogonal Frequency Division Multiplexing (OFDM)-based PLC systems. The analysis shows that the real or the imaginary component afterthe Fast Fourier Transform (FFT) of the received complex baseband S S noise samples follows univariate S Sdistribution.

zh-cn	且由于S S背景噪声占用了整个OFDM系统的频带，系统的误符号率性能随着FFT点数增加而产生恶化。
en-us	Due to the fact that the S S background noise occupies the whole OFDM system bandwidth, theSER performance of the system decreases as the employed FFT size grows.

zh-cn	在压缩感知成像算法中，真实目标点一般不会恰好落在预先划定的网格点上，
en-us	In Compressive Sensing (CS) imaging algorithms, the true targets usually can not locate on the pre-defined grids exactly.

zh-cn	这种网格偏离(Off-grid)问题会带来真实回波与测量矩阵之间的失配，严重降低雷达成像的性能。
en-us	Such Off-grid problems result in mismatch between true echo and measurement matrix,which seriously degrades the performance of radar imaging.

zh-cn	针对多输入多输出(MIMO)雷达3维成像的网格失配问题，该文提出一种自适应的Off-grid校正方法，基于Off-grid目标的稀疏回波模型构造贝叶斯概率密度函数，采用最大后验概率(MAP)方法求解含有失配偏差的稀疏像。
en-us	An adaptive calibration method is proposed to solvethe off-grid problems in MIMO radar Three-Dimensional (3D) imaging. Bayesian probability density functionscan be constructed based on the sparse echo model of Off-grid targets, and the Maximum A Posteriori (MAP)method is used to obtain sparse imaging with mismatch errors.

zh-cn	与传统方法相比，该方法可以充分利用失配参数的先验信息，自适应地更新参数，降低了失配误差的影响，并能实现对稀疏目标和噪声功率的高精度估计。
en-us	Compared with the traditional methods, the proposed method can make full use of mismatch parameters’ priori information and adaptively update the parameters, which can reduce the influence of mismatch errors, and achieve high-precision estimation for sparse targets and noise power.

zh-cn	仿真结果表明，该方法可以有效地实现对网格失配的优化，具有精确且稳定的成像性能。
en-us	Finally, the simulation results confirm that the proposed method can effectively optimize mismatch errors with accurate and stable imaging performance.

zh-cn	针对传统连续自适应均值漂移(CAMshift)跟踪算法在建立目标颜色模型阶段容易包含大量背景颜色信息从而使跟踪效果变差的问题，该文提出一种改进算法。
en-us	For the deficiency of traditional Continuously Adaptive Mean-shift (CAMshift) tracking algorithm can easily contain a large number of color information which belongs to the background in the process of establishing the target color model, an improved algorithm is proposed.

zh-cn	利用混合高斯模型背景法(GMM)将原始图像分割成前景和背景的叠加，
en-us	The original image is divided into foreground and background based on the Gaussian Mixture Model(GMM).

zh-cn	在原始图像和背景图像上运动物体所在区域分别建立色调分量直方图，利用背景图像的色调分量直方图计算原始图像中对应色调分量的权值，抑制原始图像中与背景颜色相同的色调，扩大前景与背景颜色的差异性。
en-us	In the original image and the background image, the histogram of the hue component is established. Hue histograms of the background imageare used to calculate the weight of the hue component in the original image. The hues belonging to the background are suppressed and the color differences between foreground and background are expanded.

zh-cn	该方法通过对原始颜色模型中属于背景的色调进行抑制，扩大了目标颜色模型的显著性，提高了跟踪的准确性和稳定性，目标定位的最大中心误差小于20%，能够准确跟踪不发生丢失。
en-us	Experiment shows that by suppressing the hue components belonging to the background, the saliency of the target color model is expanded. The accuracy and stability of the target recognition are improved. The ratio of the max deviation to the target is less than 20%, which ensures the target not to be lost.

zh-cn	变换光学(TO)是目前电磁领域的一个研究热点，为了对基于TO的隐身斗篷设计提供更深入的理论支持，该文对TO的3个基本数学问题进行了讨论。
en-us	Transformation Optics (TO) is a hot topic in the research area of electrical-magnetic fields. For providing further theoretical support to the design of stealth carpet based on TO, three basic mathematic problems of TO are discussed in this paper.

zh-cn	首先分析了基于Maxwell方程组3维坐标变换下变换形式的唯一性问题，提出了不同于参考文献的新变换方式，指出了可以灵活调整变换空间特性阻抗的变换方法。
en-us	Firstly, the uniqueness of transformation form in three-dimensional transformation of Maxwell’s equations is analyzed. A new transformation model is proposed, which is different from the classical one shown in reference. The new model also leads to a new transformation method that can generate flexible characteristic impedance in transformation space.

zh-cn	以此为基础，提出了以自由空间的场分布为原始空间，通过变换获取到可以隐藏在介质包围区域中并和介质阻抗匹配的隐身斗篷设计方法。
en-us	Based on this, a design method of stealth cloak or carpet that can be used to hide the target in an area surrounded by medium with given permittivity is discussed. During this process, only the field distribution in free space is required as the original field during mapping.

zh-cn	然后以基于波动方程的2维TO为研究对象，分析了以电场分量波动方程为基础进行2维变换时，磁场所满足的变换关系和对应的边界条件特性，
en-us	Secondly, the two-dimensional transformation of the wave equation is studied. The transformation of the magnetic field component in the two-dimensional transformation based on the wave equation of the electric field component is analyzed. The boundary matching during transformation is also discussed.

zh-cn	同样指出了可以隐藏在介质包围区域中并和介质阻抗匹配的隐身斗篷设计方法。
en-us	The two dimension design method of stealth cloak or carpet that can be used to hide a target in an area surrounded by medium with specified permittivity is also discussed.

zh-cn	最后从数学上证明了2维变换下共形变换对于设计出非各向异性介质隐身斗篷的充分必要性。
en-us	Finally, the sufficiency and necessity of conformal transformation for designing a two dimension stealth cloak with non-uniform and anisotropic medium are proved strictly.

zh-cn	以上述讨论为基础，该文给出了一个嵌入式斗篷的仿真验证示例。
en-us	The simulation results of a stealth carpet embedded in material are given to verify the proposed method.

zh-cn	该文的研究内容和结论对基于TO的各种电磁应用提供了理论支持。
en-us	The analysis and the related conclusion presented in the paper provide theoretical support to the related application based on TO.

zh-cn	无线携能通信(SWIPT)技术是解决无线网络能量受限问题的有效方法，该文研究一个由基站(BS)和多用户组成的多载波SWIPT系统，其上行和下行链路均采用正交频分复用(OFDM)技术。
en-us	Simultaneous Wireless Information and Power Transfer (SWIPT) is an effective technique to solvethe energy limitation problem of wireless networks. A multi-carrier SWIPT communication system thatincludes one Base Station (BS) and multiple users is investigated. Both the uplink and downlink of the systemapply the OFDM transmission.

zh-cn	在下行链路中，基站向用户同时进行信息与能量传输；
en-us	In the downlink, the BS transmits information and power over differentsubcarriers to the users simultaneously.

zh-cn	在上行链路中，用户利用从基站接收的能量向基站回传信息。
en-us	In the uplink, the user transmits information to the BS by using thepower harvested from the BS in the downlink.

zh-cn	该文以最大化上下行加权和速率为目标，联合优化上行和下行的子载波分配和功率分配，提出基于拉格朗日对偶法和椭球法的最优联合资源分配算法。
en-us	This paper aims to maximize the weighted sum of the downlink and uplink achievable rates by jointly optimizing subcarrier allocation and power allocation of the uplink and downlink. An optimal algorithm is proposed to solve this resulted optimization problem, which is based on the Lagrange duality method and the ellipsoid method.

zh-cn	计算机仿真结果证实了该算法的有效性。
en-us	The performances of the proposed algorithm are verified by computer simulations.

zh-cn	种群多样性与交叉算子在差分进化(DE)算法求解全局优化问题中具有重要作用，该文提出一种多种群协方差学习差分进化(MCDE)算法。
en-us	The diversity of the population and the crossover operator algorithm play an important role insolving global optimization problems in Differential Evolution (DE). The Multi-poplutions Covariance learning Differential Evolution (MCDE) algorithm is proposed.

zh-cn	首先，采用多种群机制的种群结构，利用每一子种群结合相应的变异策略保证进化过程个体多样性。
en-us	Firstly, the population structure is a multi-poplutions mechanism, and each subpopulation combines the corresponding mutation strategy to ensure the individual diversity in the evolutionary process.

zh-cn	然后，通过种群间的协方差学习，为交叉操作建立一个适当旋转的坐标系统；
en-us	Then, the covariance learning establishes a proper rotation coordinatesystem for the crossover operation in the population.

zh-cn	同时，使用自适应控制参数来平衡种群的勘测与收敛能力。
en-us	At the same time, the adaptive control parameters areused to balance the ability of population survey and convergence.

zh-cn	最后，在单峰函数、多峰函数、偏移函数和高维函数的25个基准测试函数上进行测试，并同其他先进的进化算法对比，实验结果表明该文算法相较于其他算法在求解全局优化问题上达到最优效果。
en-us	Finally, the proposed algorithm is conducted on 25 benchmark functions including unimodal, multimodal, shifted and high-dimensional test functions and compared with the state-of-the-art evolutionary algorithms. The experimental results show that the proposed algorithm compared with other algorithms has the best effect on solving the global optimization problem.

zh-cn	该文提出两类高斯整数零相关区(ZCZ)序列集的构造方法。
en-us	Two constructions of Gaussian integer Zero Correlation Zone (ZCZ) sequence set are researched.

zh-cn	方法1以ZCZ序列集为基础，利用插零滤波法构造高斯整数ZCZ序列集，并给出了所构造的高斯整数ZCZ序列集度的计算方法。
en-us	In Construction I, the method of zero padding is implemented on the ZCZ sequence set, and then the Gaussian integer ZCZ can be obtained by the filtering operation. Furthermore, the degree of the Gaussian integer ZCZsequence set is calculated in this paper.

zh-cn	方法2提出了两种高斯整数正交矩阵的构造方法，进而基于正交矩阵构造最优高斯整数ZCZ序列集。
en-us	In Construction II, two constructions of Gaussian integer orthogonal matrix are proposed. In addition, the optimal Gaussian integer ZCZ sequence sets are constructed based on theorthogonal matrix.

zh-cn	该文所构造的高斯整数ZCZ序列集可以应用于准同步码多分址(QS-CDMA)、正交频分复用(OFDM)和多输入多输出(MIMO)等多种通信系统中，在抑制干扰的同时，提高系统的频谱效率。
en-us	The two classes of Gaussian integer ZCZ sequence sets presented in this paper can beapplied to many communication systems such as Quasi-Synchronous Code Division Multiple Access (QS-CDMA), Orthogonal Frequency Division Multiplexing (OFDM) and Mutiple-Input Multiple-Output (MIMO)system to suppress the interference and improve the spectrum efficiency.

zh-cn	针对密钥协商过程中的信息泄露问题，该文综合考虑信息协商和隐私放大提出了基于安全极化码(SPC)的密钥协商方法，打通了从量化误比特率(QBER)条件到密钥中断概率(SKOP)需求的桥梁。
en-us	Focusing on the problem of information leakage in secret key agreement, combining information reconciliation and privacy amplification, a method based on Secure Polar Code (SPC) is proposed, which builds the bridge from the condition of Quantized Bit Error Rate (QBER) to the requirement of Secret Key OutageProbability (SKOP).

zh-cn	首先，将QBER建模为加性高斯白噪声(AWGN)信道的传输误比特率(TBER)，进而将QBER优势转化为AWGN信道优势；
en-us	Firstly, QBER is modeled as the Transmitted Bit Error Rate (TBER) of AdditionalWhite Gaussian Noise (AWGN) channel, so the advantage of QBER is converted to the advantage of AWGNchannel;

zh-cn	然后，利用高斯近似计算出各极化子信道的传输错误概率，并进一步推导出安全极化码的译码误比特率上下界；
en-us	Then, the TBER of each polarized sub-channel is calculated by Gaussian approximation, and theupper and lower bounds of decoded bit error rate are also derived.

zh-cn	最后，根据密钥中断概率阈值利用遗传算法构造出合适的安全极化码实现密钥协商。
en-us	Finally, the SPC is constructed based ongeneric algorithm and SKOP threshold.

zh-cn	仿真结果表明，该文所提的密钥协商方法能够满足设计的密钥中断概率需求，且具有比低密度奇偶校验(LDPC)码更高的密钥协商效率。
en-us	Simulation results show that the proposed method satisfies therequirement of SKOP and achieves higher secret key agreement efficiency, compared with Low Density ParityCheck (LDPC)-based method.

zh-cn	基于随机信号流的密钥生成方案会在合法发送方发送随机信号时泄露部分共享随机源信息导致密钥安全性和可达密钥速率较低。
en-us	The secret key generation method based on random signal may leak part of the common randomness information and reduce the achievable secret key rate when legal transmitter transmits random signal.

zh-cn	针对此问题，该文提出一种基于多随机信号流的密钥生成方案。
en-us	In response to this problem, the secret key generation method based on multi-stream random signal is proposed.

zh-cn	首先，发送方利用信道互易性和上行导频估计下行信道，然后发送方在各天线上发送相互独立的随机信号流。
en-us	Firstly, the transmitter uses the channel reciprocity and uplink pilot to estimate the downlink channel, then the transmitter transmits mutually independent signal on every antenna.

zh-cn	由于窃听者难以准确估计所有随机信号流，因此难以窃取接收方每根天线接收到的叠加随机信号，而发送方则可根据估计的下行信道和自身发送的随机信号流计算出接收方各天线的接收信号。
en-us	The eavesdropper is difficult to estimate all the random signals. It is difficult to estimate all the random signals for the eavesdropper, so the overlapping signal received by every antenna is difficult to be obtained by the eavesdropper. However, the legal transmitter is able to calculate the signal received by legal receiver by using the downlink channel estimated and the signal transmitted.

zh-cn	因此，可以将接收天线上的叠加随机信号作为共享随机源提取密钥。
en-us	So, the overlapping signal on every legal antenna can be used to extract secret key as common randomness.

zh-cn	进一步地，该文还推导了该方案的可达密钥速率和共享随机源的互信息量表达式，并分析了两者间的关系以及对密钥安全性的影响。
en-us	Also, the achievable secret key rate expression and the mutual information expression of common randomness are derived, and the relationship between them and the secret key security is analyzed.

zh-cn	最后，通过仿真验证了该方案的有效性，仿真结果表明该方案能够有效降低窃听者观察到的共享随机源互信息，从而提升可达密钥速率及密钥安全性。
en-us	At last, the effectiveness of this method is verified by the simulation. The simulation results show that this method can reduce the common randomness observed by the eavesdropper to raise the achievable secret key rate and secret key security.

zh-cn	采用传统SAR成像方法对星载SAR地面运动目标进行成像处理时，运动目标通常会处于散焦状态，导致运动目标检测性能下降。
en-us	The moving target component is often defocused in spaceborne SAR images. Therefore, the moving target detection performance is affected depending on the degree of defocusing.

zh-cn	该文结合RD算法，提出一种基于2维速度搜索的星载SAR运动目标检测算法，通过对运动目标距离向速度和方位向速度进行遍历来匹配运动目标多普勒参数，提取不同搜索速度下运动目标的最强幅度值用于恒虚警检测，可以提高运动目标的检测概率。
en-us	Combined with the RD algorithm, a moving-targets detection algorithm for spaceborne SAR based on a two-dimensional velocity search is proposed. Through velocity search on the distance direction and the azimuth direction, the Dopplerparameters of possible moving targets can be matched. Then the strongest value among all the searching velocity results for each pixel is used for Constant False Alarm Rate(CFAR) detector. This core process canimprove the detection performance of moving target component.

zh-cn	仿真结果验证了该方法的可行性和有效性。
en-us	Simulation results validate the effectiveness ofthe proposed method.

zh-cn	针对当前贝叶斯网络结构学习算法易陷入局部最优和寻优效率低的问题，该文提出一种基于改进鲸鱼优化策略的贝叶斯网络结构学习算法。
en-us	A Bayesian network structure learning algorithm based on improved whale optimization strategy isproposed to solve the problem that the current Bayesian network structure learning algorithm is easily trappedin local optimal and is of low optimization efficiency.

zh-cn	该算法首先提出一种新的方法建立较优的初始种群，然后利用不产生非法结构的交叉变异算子构建适用于贝叶斯网络结构学习的改进捕食行为，
en-us	The improved algorithm proposes first a new method toestablish a better initial population, and then it uses the cross mutation operator that does not produce theillegal structure to construct an improved predation behavior suitable for Bayesian network structure learning.

zh-cn	同时采用动态调节参数增强算法个体寻优的能力，通过适应度排序更新种群，最终获得最优的贝叶斯网络结构。
en-us	At the same time, it adopts the dynamic parameter tuning strategy to enhance the individual search ability.The population is updated followed by the fitness order so that the optimal Bayesian network structure isobtained.

zh-cn	仿真结果表明，该算法具有全局收敛性，寻优效率高，精确率高于其它同类优化算法。
en-us	Simulation results demonstrate that the algorithm has global convergence, high efficiency and higher accuracy than other similar optimization algorithms.

zh-cn	针对同平台雷达与电子支援措施(ESM)存在系统误差、上报目标不完全一致等复杂场景下航迹关联鲁棒性和有效性问题，该文提出一种基于航迹矢量分级聚类的雷达与ESM航迹抗差关联算法。
en-us	To address track-to-track association problem of radar and Electronic Support Measurements (ESM)in the presence of sensor biases and different targets reported by different sensors, an anti-bias track-to-trackassociation algorithm based on track vectors hierarchical clustering is proposed.

zh-cn	首先推导修正极坐标系(MPC)下目标等价测量方程，基于等价测量的近似展开得到目标状态估计分解方程，利用真实状态对消的方法得到航迹矢量，
en-us	Firstly, the equivalent measurement is derived in the Modified Polar Coordinates (MPC). Linear relationship between state estimates and real states, sensor biases, measurement errors are established based on the approximate expansion of the equivalent measurement. The track vectors are obtained by the real state cancellation method.

zh-cn	基于高斯随机矢量的统计特性，采用航迹矢量分级聚类的方法提取同源航迹。
en-us	The homologous tracks are extracted by the method of track vectors hierarchical clustering, according to the statistical characteristics of Gaussian random vectors.

zh-cn	最后通过实验仿真验证，所提算法在不同系统误差、目标分布密度、检测概率等环境下具有较好的关联效果和鲁棒性。
en-us	The effectiveness of the proposed algorithm is verified by MonteCarlo simulation experiments in the presence of sensor biases, targets densities and detection probabilities.

zh-cn	协作MIMO技术通过协作发射或协作接收的方式可以将干扰信号转变为有用信号，在高铁无线通信中引入该技术，能解决回波信道响应和提高系统容量。
en-us	Cooperative MIMO technology can transform interference signals into useful signals by means of cooperative transmission or reception. It can solve the echo channel effect and improve the system capacity tobe introduced into high-speed railway wireless communication.

zh-cn	为了掌握协作MIMO技术在高铁场景中的信道特性，该文基于几何随机散射理论，提出一个高速铁路协作MIMO信道模型，简单调整该模型中的几个关键参数即可适用于高速铁路的多种场景。
en-us	To master the channel characteristics of cooperative MIMO technology in high-speed railway scenarios, based on the geometric stochastic scattering theories, a new channel model for cooperative MIMO channel in high-speed railway scenarios is proposed, which can be applied to multiple high-speed railway scenarios by simply adjusting its several key parameters.

zh-cn	基于该模型计算信道冲激响应，推导多链路空间相关函数，进行数值计算、仿真分析和实测数据验证。
en-us	Based on this model, the channel impulse response is calculated, the multi-link spatial correlation function is derived, the numerical calculation, simulation analysis and verification of measured data are carried out.

zh-cn	仿真结果显示，直射分量越强，散射分量的角度扩展越小，多链路的空间相关性越强。
en-us	Simulation results show that the multi-link spatial correlation is stronger when the LOS component is stronger and the angle spread of scattered components is smaller.

zh-cn	散射次数越少，散射分量空间相关性越强。
en-us	The components which are scattered less times have a strongerspatial correlation.

zh-cn	使用北京-天津高铁段LTE专网的实测数据验证理论模型的正确性。
en-us	The theoretical model is verified by the measured data of the LTE special network of theBeijing-Tianjin high-speed railway section.

zh-cn	这些结论有助于认知协作MIMO信道和进行有效的测量活动。
en-us	These conclusions contribute to understanding the cooperativeMIMO channels and conducting effective measurement activities.

zh-cn	获得随机阵列的高效、统计无偏波达方向(DoA)估计是超分辨率DoA估计领域的一大挑战。
en-us	As for super resolution Direction-of-Arrival (DoA) estimation with random arrays, it is still challenged to obtain efficient and statistically unbiased estimates.

zh-cn	该文基于“利用旋转不变技术扩展估计信号参数法(AESPRIT)” 提出了一种随机阵列DoA估计算法。
en-us	Based on Augmented Estimation of Signal Parameters via Rotational Invariance Techniques (AESPRIT), an efficient DoA estimation algorithm is proposed for random arrays.

zh-cn	该算法将AESPRIT改造成闭合环结构，并使用阵列内插技术(AIT)提供的角度粗估计作为初始相位补偿角，从而通过迭代快速获得精确的DoA估计。
en-us	AESPRIT is modified with a closed loop structure; Array Interpolation Technique(AIT) is utilized to provide the initial phase compensation angles to the loop. Therefore, the final DoAestimates can be calculated efficiently and accurately through iteration.

zh-cn	所提算法直接给出代数形式的估计结果，具有低的计算复杂度；
en-us	The proposed algorithm gives algebraic solution directly and has low computational complexity.

zh-cn	同时由于不存在流形映射或者模式截断误差，估计结果具有统计无偏性。
en-us	At the same time, the results are statistically unbiased because no manifold mapping or mode truncation error is introduced.

zh-cn	仿真结果验证了所提算法的有效性。
en-us	Simulations verify the effectiveness of the proposed algorithm.

zh-cn	针对经典的快速区域卷积神经网络(Faster RCNN)训练过程存在太多难训练样本、召回率低等问题，该文采用一种基于在线难分样本挖掘技术(OHEM)与负难分样本挖掘(HNEM)技术相结合的方法，通过训练中实时筛选的最大损失值难分样本进行误差传递，解决了模型对难分样本检测率低问题，提高模型训练效率；
en-us	Because of the classic Faster RCNN training proccess with too many difficult training samples andlow recall rate problem, a method which combines the techniques of Online Hard Example Mining (OHEM) and Hard Negative Example Mining (HNEM) is adopted, which carries out the error transfer for the difficult samples using its corresponding maximum loss value from real-time filtering. It solves the problem of low detection of hard example and improves the efficiency of the model training.

zh-cn	为更好地提高模型的召回率和模型的泛化性，该文改进了非极大值抑制(NMS)算法，设置了置信度阈值罚函数，又引入多尺度、数据增强等训练方法。
en-us	To improve the recall rate and generalization of the model, an improved Non-Maximum Suppression (NMS) algorithm is proposed by setting confidence thresholds penalty function; In addition, multi-scale training and data augmentation are also introduced.

zh-cn	最后通过比较改进前后的结果，经敏感性实验分析表明，该算法在VOC2007数据集上取得了较好效果，平均精度均值从69.9%提升到了74.40%，在VOC2012上从70.4%提升到79.3%，验证了该算法的优越性。
en-us	Finally, the results before and after improvement are compared: Sensibility experiments show that the algorithm achieves good results in VOC2007 data set and VOC2012 data set, with the mean Average Percision (mAP) increasing from 69.9% to 74.40%, and 70.4% to 79.3% respectively, which demonstrates strongly the superiority of the algorithm.

zh-cn	该文考虑一个大规模MIMO全双工中继系统，该系统下多个单天线的源节点和多个单天线的目的节点通过一个在接收端和发送端分别配置和根天线的中继进行通信。
en-us	A massive MIMO full-duplex relaying system is considerd in this paper, in which multiple single-antenna sources simultaneously communicate with multiple single-antenna destinations using a single relay that is equipped with  receive antennas and  transmit antennas.

zh-cn	在非完美信道状态信息(CSI)和硬件损害的情况下，中继端在译码转发(DF)的方式下使用迫零(ZF)方法去处理接收信号和发送信号，并获得了闭合形式的接收速率表达式。
en-us	Under imperfect Channel State Information(CSI) and hardware impairment, the relay processes the received and transmitted signals by means of Zero-Forcing (ZF) and uses Decode-and-Forward (DF) scheme. The closed-form expressions of achievable rate are deduced.

zh-cn	根据这些表达式，可以得到各种功率收缩规律，发现随着中继端接收天线数量和发送天线数量以一定比例趋近于无穷大时，源节点的能量、中继端的能量和导频的能量可以以一定条件收缩来维持系统性能。
en-us	Based on these expressions, the various power scaling laws can be obtained. It is shown that when thetwo numbers of the relay receive and transmit antennas go to infinity but with a fixed ratio, the system canmaintain a desirable quality of service in the case of scaling the transmit powers of the sources, relay and pilots.

zh-cn	针对目前民航运输业对航班延误高精度预测的需求，该文提出一种基于深度SE-DenseNet的航班延误预测模型。
en-us	Nowadays, the civil aviation industry has a high-precision prediction demand of flight delays, thus a flight delay prediction model based on the deep SE-DenseNet is proposed.

zh-cn	该模型首先将航班信息、相关机场延误信息和天气信息进行数据融合；
en-us	Firstly, flight data, associated airport delay information and meteorological data are fused in the model.

zh-cn	其次，利用改进后的SE-DenseNet算法对融合后的航班数据集进行自动特征提取；
en-us	Then, the improved SE-Dense Net algorithm is used to extract feature automatically based on the fused flight data set.

zh-cn	最后，构建Softmax分类器进行航班离港延误等级的预测。
en-us	Finally, the softmax classifier is used to predict the delay level of flight.

zh-cn	该文提出的SE-DenseNet结构融合了DenseNet和SENet二者的优势，既能加强深层信息的传递，避免梯度消失，又可以实现特征提取过程中的特征重标定。
en-us	The proposed SE-DenseNet, combing the advantages of DenseNet andSENet, can not only enhance the transmission of deep information, avoid the problem of vanishing gradients,but also achieve feature recalibration by the feature extraction process.

zh-cn	实验结果表明，数据融合后，预测准确率较只考虑航班属性提高约1.8%；
en-us	The results indicate that after datafusion, the accuracy of the model is improved 1.8% than only considering the characteristics of the flight itself.

zh-cn	算法改进后可以有效提升网络性能，模型最终准确率达93.19%。
en-us	The improved algorithm can effectively improve the network performance. The final accuracy of the modelreaches 93.19%.

zh-cn	为满足雷达舰船目标识别的高实时性和高泛化性的需求，该文提出了一种基于深度多尺度1维卷积神经网络的目标高分辨1维距离像(HRRP)识别方法。
en-us	In order to meet the demand for high real-time and high generalization performance of radar recognition, a radar High Resolution Range Profile (HRRP) recognition method based on deep multi-scale one dimension convolutional neural network is proposed.

zh-cn	针对高分辨1维距离像特征提取难的问题，所提方法通过共享卷积核的权值，使用多尺度的卷积核提取不同精细度的特征，并构造中心损失函数来提高特征的分辨能力。
en-us	The multi-scale convolutional layer that can represent the complex features of HRRP is designed based on two features of the convolution kernels which are weight sharing and extraction of different fineness features from different scales, respectively. At last, the center lossfunction is used to improve the separability of features.

zh-cn	实验结果表明，该模型可以显著提高目标在非理想条件下的识别正确率，克服目标姿态角敏感性问题，具有良好的鲁棒性和泛化性。
en-us	Experimental results show that the model can greatly improve the accuracy of the target recognition under non-ideal conditions and solve the problem of the target aspect sensitivity, which also has good robustness and generalization performance.

zh-cn	针对5G网络场景下缺乏对资源需求的有效预测而导致的虚拟网络功能(VNF)实时性迁移问题，该文提出一种基于深度信念网络资源需求预测的VNF动态迁移算法。
en-us	To solve the problem of real-time migration of Virtual Network Function (VNF) caused by lacking effective prediction in 5G network, a VNF migration algorithm based on deep belief network prediction of resource requirements is proposed.

zh-cn	该算法首先建立综合带宽开销和迁移代价的系统总开销模型，然后设计基于在线学习的深度信念网络预测算法预测未来时刻的资源需求情况，在此基础上采用自适应学习率并引入多任务学习模式优化预测模型，
en-us	The algorithm builds firstly a system cost evaluation model integrating bandwidth cost and migration cost, and then designs a deep belief network prediction algorithm based on online learning which adopts adaptive learning rate and introduces multi-task learning mode to predict future resource requirements.

zh-cn	最后根据预测结果以及对网络拓扑和资源的感知，以尽可能地减少系统开销为目标，通过基于择优选择的贪婪算法将VNF迁移到满足资源阈值约束的底层节点上，并提出基于禁忌搜索的迁移机制进一步优化迁移策略。
en-us	Finally, based on the prediction result as well as the perception of network topology andresources, the VNFs are migrated to the physical nodes that meet the resource threshold constraints throughgreedy selection algorithm with the goal to optimize system cost,and then a migration mechanism based ontabu search is proposed to further optimize the migration strategy.

zh-cn	仿真表明，该预测模型能够获得很好的预测效果，自适应学习率加快了训练网络的收敛速度，与迁移算法结合在一起的方式有效地降低了迁移过程中的系统开销和服务级别协议(SLA)违例次数，提高了网络服务的性能。
en-us	The simulation results show that the prediction model can obtain good prediction results and adaptive learning rate accelerates the convergence speed of the training network.Moreover, the combination with the migration algorithm reduces effectively system cost and the number of Service Level Agreements (SLA) violations during the migration process, and improves the performance of network services.

zh-cn	为了消除逆合成孔径雷达(ISAR)越分辨单元徙动(MTRC)引起的图像散焦，需要估计目标的等效旋转中心。该文以空间目标为研究对象，提出了一种基于图像旋转相关的ISAR旋转中心估计算法。
en-us	The equivalent rotation center should be estimated accurately in the Inverse Synthetic ApertureRadar (ISAR) for the issue of image defocusing induced by the Migration Through Resolution Cells (MTRC).In this paper, an equivalent rotation center estimation algorithm based on image rotation and correlation is proposed for the space target.

zh-cn	首先，分析了ISAR的瞬时成像机理；
en-us	First, the instantaneous imaging mechanism of ISAR is analyzed.

zh-cn	其次，将采用相同运动补偿后的回波数据分段成像，得到不同视角的2幅图像；
en-us	Second, two images with different observation angles are obtained by using the echo data with the same motion compensation algorithm.

zh-cn	然后，基于定标后的图像像素旋转和图像相关，估计等效旋转中心。
en-us	Finally, the equivalent rotation center is estimated based on the scaled image pixelrotation and image correlation.

zh-cn	当假定的等效旋转中心与真实的旋转中心一致时，2幅图像相关性最大，据此得到旋转中心位置。
en-us	Consequently, the estimated position of the rotation center is obtained, when the assumed rotation center is in accordance with the real one and the maximum correlation coefficient of two images is achieved.

zh-cn	仿真实验表明，该算法能够有效利用图像整体信息，估计出高精度的目标等效旋转中心，利于提高成像质量。
en-us	The results demonstrate the effectiveness and robustness of the proposed algorithm.

zh-cn	针对多径信道环境下非同步长码DS-CDMA信号扩频码及信息序列等参数的联合估计问题，该文提出了基于序贯蒙特卡罗(SMC)的盲估计算法。
en-us	To deal with the problem of joint estimation of spreading codes and information sequences for asynchronous long code DS-CDMA signals in multipath channels, an algorithm is introduced based on Sequential Monte Carlo(SMC) for blind estimation.

zh-cn	该算法采用混合重要密度函数对联合后验分布模型进行抽样，并迭代计算重要性权值，以完成所需状态参量的估计。
en-us	The proposed algorithm employes hybrid important sampling density to draw the samples from joint posterior distribution iteratively, and computes the importance weight to complete the estimation of the state variable.

zh-cn	同时为了减少算法的计算量，在算法的实现过程中，先估计出各用户的扩频码，再对观测数据进行处理，从而修正原有的迭代步骤，提出一种修正的SMC算法。
en-us	During the realization of the algorithm, in order to reduce the computational complexity, the modified algorithm estimates the spreading code of each user firstly, then processes the observation data, thereby modifies the original iteration step.

zh-cn	仿真结果验证了算法对多种情况的适应性，且在时变的多径信道环境下也能获得较好的估计性能。
en-us	Simulation results verify the adaptability of the proposed algorithms for multiple conditions. Moreover, it can obtain good estimation performance in time varying multipath channels.

zh-cn	为提高无线网络入侵检测模型的综合性能，该文将循环神经网络(RNN)算法用于构建无线网络入侵检测分类模型。
en-us	In order to improve the comprehensive performance of the wireless network intrusion detection model, Recurrent Neural Network (RNN) algorithm is used to build a wireless network intrusion detection classification model.

zh-cn	针对无线网络入侵检测训练数据样本分布不均衡导致分类模型出现过拟合的问题，在对原始数据进行清洗、转换、特征选择等预处理基础上，提出基于窗口的实例选择算法精简训练数据集。
en-us	For the over-fitting problem of the classification model caused by the imbalance of training data samples distribution in wireless network intrusion detection, based on the pre-treatment of raw data cleaning, transformation, feature selection, etc., an instance selection algorithm based on window is proposed to refine the train data-set.

zh-cn	对攻击分类模型的网络结构、激活函数和可复用性进行综合优化实验，得到最终优化模型，分类准确率达到98.6699%，综合优化后的运行时间为9.13 s。
en-us	The network structure, activation function and re-usability of the attack classification model are optimized experimentally, so the optimization model is obtained finally. The classification accuracy ofthe optimization model is 98.6699%, and the running time after the model reuse optimization is 9.13 s.

zh-cn	与其他机器学习算法结果比较，该优化方法在分类准确率和执行效率两个方面取得了很好的效果，综合性能优于传统的入侵检测分类模型。
en-us	Compared to other machine learning algorithms, the proposed approach achieves good results in classification accuracy and execution efficiency. The comprehensive performances of the proposed model are better than thoseof traditional intrusion detection model.

zh-cn	配置时间过长是制约可重构系统整体性能提升的重要因素，而合理的任务调度技术可有效降低系统配置时间。
en-us	Long configuration time is a significant factor which restricts the performance improvement of the reconfigurable system, and a reasonable task scheduling technology can effectively reduce the system configuration time.

zh-cn	该文针对粗粒度动态可重构系统(CGDRS)和具有数据依赖关系的流应用，提出了一种3维任务调度模型。
en-us	A three-dimensional task scheduling model for Coarse-Grain Dynamic ReconfigurableSystem (CGDRS) and flow applications with data dependencies is proposed.

zh-cn	首先基于该模型，设计了一种基于预配置策略的任务调度算法(CPSA)；
en-us	Firstly, based on this model, a Configuration Prefetching Schedule Algorithm (CPSA) applying pre-configured strategy is designed.

zh-cn	然后根据任务间的配置重用性，提出了间隔配置重用与连续配置重用策略，并据此对CPSA算法进行改进。
en-us	Then, the interval and continuous configuration reuse strategy are proposed according to the configuration reusability between tasks, and the CPSA algorithm is improved accordingly.

zh-cn	实验结果证明，CPSA算法能够有效解决调度死锁问题、降低流应用执行时间并提高调度成功率。
en-us	The experimental results show this algorithmcan avoid scheduling deadlock, reduce the execution time of flow applications and improve scheduling successrate.

zh-cn	与其它调度算法相比，对流应用执行时间的平均优化比例达到6.13%～19.53%。
en-us	The optimization ratio of total execution time of flow applications achieves 6.13%～19.53% averagely compared with other scheduling algorithms.

zh-cn	多基外辐射源雷达定位系统受系统偏差影响较大。
en-us	The system biases degrade seriously the location precision for the multi-static passive radar system.

zh-cn	该文针对多基外辐射源雷达到达角度(DOA)和到达时差(TDOA)联合定位系统，提出一种基于约束总体最小二乘(CTLS)的无源定位和误差校正算法。
en-us	A joint registration and passive localization algorithm based on Constrained Total Least Squares (CTLS) using Direction Of Arrival (DOA) and Time Difference Of Arrival (TDOA) measurements is developed to address the multi-static radar localization problem under the influence of system biases.

zh-cn	首先引入辅助变量，将DOA和TDOA非线性观测方程进行线性化处理。
en-us	Firstly, the nonlinear DOA andTDOA measurement equations are linearized by introducing auxiliary variables.

zh-cn	考虑伪线性化后定位方程中噪声矩阵各分量统计相关特性，将无源定位与误差校正联合优化问题建立为CTLS模型，并采用牛顿迭代方法对模型求解。
en-us	Considering the statistical correlation properties of the noise matrix in the pseudo-linear equations, a joint biases registration and passive localization problem is formulated as a CTLS problem and the Newton’s method is applied to solving the CTLSproblem.

zh-cn	在此基础上，考虑辅助变量与目标位置的关联性，设计关联最小二乘算法改进目标位置估计值，采用后验迭代方法进一步提高系统偏差估计精度。
en-us	Moreover, a dependent least squares algorithm is designed to improve the target position estimation using the relationship between auxiliary variables and target position. An iterative post-estimate procedure is exploited to enhance further the estimation accuracy of the system biases.

zh-cn	最后推导了算法的理论误差。
en-us	Finally, the theoretical error of the proposed algorithm is derived.

zh-cn	仿真结果表明：该算法能够有效地估计目标位置和系统偏差。
en-us	Simulations demonstrate that the proposed algorithm can effectively estimate the system biases and target position.

zh-cn	针对传统指纹定位算法建库耗时长和定位精度低的问题，该文提出一种基于自适应渐消记忆的蓝牙序列匹配定位算法。
en-us	The traditional fingerprinting localization algorithm has high construct time overhead and low positioning accuracy. Because of this problem, an adaptive fading memory based bluetooth sequence matching localization algorithm is proposed.

zh-cn	首先，利用行人航迹推算(PDR)和最近邻算法(NNA)对运动序列进行位置标定和接收信号强度(RSS)映射；
en-us	Firsly, Pedestrian Dead Reckoning(PDR) and Nearest Neighbor Algorithm(NNA) are applied to performing position calibration and Received Signal Strength(RSS) mapping ofMotion Sequences.

zh-cn	然后，根据邻近位置的相关性，采用序列递归搜索算法构建指纹序列数据库；
en-us	Secondly, according to the relevance of neighboring locations, a sequence recursive search method is used to construct fingerprint sequence database.

zh-cn	最后，通过自适应渐消记忆算法，并结合初始序列匹配度实现位置估计。
en-us	Finally, an adaptive fading memory algorithm andinitial sequence matching degree are considered to realize the position estimation of target.

zh-cn	实验结果表明，该算法在室内环境下能够获得较低的建库时间开销以及较高的定位精度。
en-us	The experimental results show that this algorithm is able to consume low construct time overhead and achieve high indoor localization precision.

zh-cn	针对全双工无线接入与回传一体化小基站场景下长期的频谱效率和能效同时最大化问题，该文提出一种基于近似动态规划理论的接入与回传一体化小基站接入控制与资源分配联合优化算法。
en-us	To maximize the long-term spectral efficiency and energy efficiency of a full duplex wireless accessand backhaul integrated small base station scene, approximate dynamic programming based joint admissioncontrol and resource allocation optimization algorithm is proposed.

zh-cn	该算法首先联合考虑当前基站的资源使用和功率配置情况，在任一用户需求动态到达以及平均时延、小基站回传速率和传输功率约束下，使用受限马尔科夫决策过程(CMDP)建立频谱效率最大化和功率消耗最小化的多目标优化模型，
en-us	The algorithm firstly considers the resourceusage and power configuration of the current base station, the dynamic demand of user, the constraints ofaverage delay as well as backhaul rate and transmission power. The corresponding multi-objective optimizationmodel of maximum spectrum efficiency and minimizes power consumption is established by using theConstrained Markov Decision Process(CMDP).

zh-cn	其次运用切比雪夫理论将多目标优化问题转化为单目标问题，并使用拉格朗日对偶分解法进一步转化为非受限的马尔科夫决策过程(MDP)问题。
en-us	Then, the Chebyshev theory is used to transform the multi-objective into a single-objective optimization, and the Lagrange dual decomposition method is then used toconvert the single-objective problem into unrestricted Markov decision process problem.

zh-cn	最后，为了解决其求解时存在的“维度灾”爆炸问题，该文提出基于近似动态规划的无线接入与回传一体化小基站资源动态分配算法进行求解，得到此时的接入与资源分配策略。
en-us	Finally, To solve the“dimension disaster” explosion that generated when solving this unrestricted Markov Decision Process(MDP)problem, a dynamic resource allocation algorithms based on approximate dynamic programming is presented,and the access and resource allocation strategy is obtained during this process.

zh-cn	仿真结果表明，所提算法能在保证平均时延约束、小基站回传速率约束和传输功率约束的同时最大化长期平均频谱效率和能效。
en-us	The simulation results show thatthe algorithm can maximize the long-term average spectrum efficiency and energy efficiency, within theconstraints of the average delay, backhaul rate and transmission power, under the scenario of integrated accessand backhaul small base station.

zh-cn	针对感知任务参与者数量不足和提供数据质量不高的问题，该文提出一种面向任务代价差异的移动群智感知激励模型。
en-us	To solve the problem of insufficient number of participants and poor data quality in the sensingmission, a mobile crowd sensing incentive model for mission cost difference is proposed.

zh-cn	首先，利用模糊推理方法分析数据量、环境条件及设备消耗对任务代价的影响，将感知任务按照代价差异划分为不同等级，同时为请求者制定预算并给予参与者合适的报酬。
en-us	First of all, the fuzzyreasoning method is used to analyze the impact of data quantity, environmental conditions and equipmentconsumption on mission cost, and the sensing mission is divided into different levels on the basis of costdifference. Meanwhile, the method is used to prepare a budget for the requester and give the participant anappropriate reward.

zh-cn	其次，通过信誉度评估和参与者优选将感知任务分配给更合适的参与者完成感知任务并上传感知数据。
en-us	Then, the sensing mission is assigned to more appropriate participants to complete thesensing mission and upload the sensing data through credibility assessment and participants’ preference.

zh-cn	最后，对参与者上传感知数据评估，更新参与者信誉度，并根据参与者完成感知任务的代价等级支付相应报酬。
en-us	Finally, the sensing data uploaded by participants is evaluated, and the credibility of participants is updated.Besides, the participants are paid according to the cost level of perceived missions.

zh-cn	基于真实数据集的仿真实验结果表明，该模型能够利用各个模块间的相互影响，有效招募更多的用户参与感知任务并促进参与者上传高质量的感知数据。
en-us	The simulation experiments based on the real data set show that the model can recruit more users to participate in the sensing mission effectively and promote participants to upload high-quality sensing data by using the mutual influence between different modules.

zh-cn	针对半诚信的数据收集者对包含敏感属性(SA)数据收集和使用过程中可能造成隐私泄露问题，该文在传统模型中增加实时的数据领导者，并基于改进模型提出一个隐私保护的数据收集协议，
en-us	Semi-honest data collectors may cause privacy leaks during the collection and use of SensitiveAttribute (SA) data. In view of the problem, real-time data leaders are added in the traditional model and aprivacy-protected data collection protocol based on the improved model is proposed.

zh-cn	确保无可信第三方假设前提下，数据收集者最大化数据效用只能建立在K匿名处理过的数据基础上。
en-us	Without the assumption oftrusted third party, the protocol ensures that data collectors maximization data utility can only be establishedon the basis of K-anonymized data.

zh-cn	数据拥有者分布协作的方式参与协议流程，实现了准标识(QI)匿名化后SA的传输，降低了数据收集者通过QI关联准确SA值的概率，减弱内部标识揭露造成隐私泄露风险；
en-us	Data owners participates in the protocol flow in a distributed andcollaborative manner to achieve the transmission of SA after the Quasi-Identifier (QI) is anonymized. Thisreduces the probability that the data collector uses the QI to associate SA values and weakens the risk ofprivacy leakage caused by internal identity disclosure.

zh-cn	通过树形编码结构将SA的编码值分为随机锚点和补偿距离两份份额，由K匿名形成的等价类成员选举获取两个数据领导者，分别对两份份额进行聚集和转发，解除唯一性的网络标识和SA值的关联，有效防止外部标识揭露造成的隐私泄露；
en-us	It divides the coded value of the SA into two shares of arandom anchor point and a compensation distance through the tree coding structure and the members of theequivalent class formed by K-anonymity elect two data leaders to aggregate and forward the two sharesrespectively, which releases the association between unique network identification and SA values and preventsleakage of privacy caused by external identification effectively.

zh-cn	建立符合该协议特性的形式化规则并对协议进行安全分析，证明了协议满足隐私保护需求。
en-us	Formal rules are established that meet the characteristics of the protocol and analyze the protocol to prove that the protocol meets privacy protection requirements.

zh-cn	为提高吸波体吸波效率，该文设计了一种基于集总电阻加载的小型化超宽带超材料吸波体结构，该结构通过纵向级联的方式，结合上下两层吸波体结构拓展了带宽。
en-us	A metameterial absorber is designed, fabricated and experimentally demonstrated to realized ultra-wideband absorption based on loading lumped resistances to raise the efficiency of absorber. The proposed structure comprises of an upper absorber and an under absorber by longitudinal cascade to expand bandwidth.

zh-cn	通过等效电路分析得到该吸波体在宽频带内具有良好的阻抗匹配，并通过电流分析验证了吸波机理。
en-us	The analysis of equivalent circuit show that the absorber has good impedance matching in a wide frequency band and the mechanism of wave absorption is verified by current analysis.

zh-cn	整个吸波体的单元大小仅为0.089×0.089(为该结构最低吸波频率所对应的波长)。厚度为0.078。
en-us	The size of the unit is only about0.089×0.089, where  is the wavelength of the lowest frequency, and the total thickness of the absorber isonly 0.078.

zh-cn	仿真结果表明：在2.24～16.14 GHz吸波率始终大于90%，相对带宽达151%。
en-us	Simulated and experimental results show that the absorber exhibits absorptivity above 90% from2.24 GHz to 16.14 GHz, and the relative absorption bandwidth is about 151%.

zh-cn	制备相应实物并进行测试，实测结果与仿真结果基本吻合。
en-us	Measurement results show good agreement with the numerically simulated results.

zh-cn	针对基于概率抽样的网络流量异常检测数据集构造过程中无法同时兼顾大、小流抽样需求及未区分flashcrowd与流量攻击等问题，该文提出一种面向流量异常检测的概率流抽样方法。
en-us	For problems of not meeting the demand of sampling both large flows and small flows at the same time, and not distinguishing flash crowd from traffic attacks in building network traffic anomaly detection datasets based on probabilistic sampling methods, a probabilistic flow sampling method for traffic anomaly detection is proposed.

zh-cn	在对数据流按目的、源IP地址进行分类的基础上，将每类数据流抽样率定义为其目的、源IP地址抽样率的最大值，并在抽样过程中对数据流抽样数目向上取整，保证每类数据流至少被抽样一次，使抽样得到的数据集可有效反映原始流量在大、小流和源、目的IP地址方面的分布性。
en-us	On the basis of the classification of network data flows according to their destination and source IP addresses, the sampling probability for each class of data flows is set as the maximum of its destination and source IP address’s sampling probability, and the number of sampled data flows is ceiled to ensure that each class of data flows is sampled at least once, so that the sampled dataset can reflect the distributions of large, small flows and source, destination IP addresses in original traffics.

zh-cn	采用源IP地址熵刻画异常流源IP地址分散度，并基于源IP地址熵阈值设计攻击流抽样算法，降低由flash crowd引起的非攻击异常流抽样概率。
en-us	Then, the source IP address entropy is used to characterize the source IP dispersion of anomaly flows, and the attack flow sampling algorithm is designed based on the threshold of the source IP address entropy, which reduces the sampling probability of non-attack anomaly flows caused by flash crowd.

zh-cn	仿真结果表明，该方法能同时满足大、小流抽样需求，具有较强的异常流抽样能力，可抽样到所有与异常流相关的可疑源、目的IP地址，并能在抽样过程中过滤非攻击异常流。
en-us	The simulation results show that the proposedmethod can satisfy the sampling requirements of both large flows and small flows, it has a high anomaly flowssampling ability, can sample all the suspicious sources and destination IP addresses related to anomaly flows,and can effectively filter the non-attack anomaly flows.

zh-cn	微波光子雷达发射信号带宽大、波长短，能够实现分辨率更高的逆合成孔径雷达(ISAR)成像。
en-us	Microwave photonics radar generates signals with large bandwidth and small wavelength. It has capability of ultra-high resolution of Inverse Synthetic Aperture Radar(ISAR) image.

zh-cn	但带宽大、波长小的回波信号也导致传统成像算法对目标转动分量的近似不成立，使得传统算法无法应用。
en-us	Because the approximation of rotational components is not tenable, traditional ISAR imaging algorithm is not suitable to microwave photonics radar.

zh-cn	在微波光子雷达成像中，目标转动分量在回波包络中形成空变的距离弯曲项，在方位相位中形成空变的2次相位误差，导致ISAR图像散焦。
en-us	In the microwave photonics radar imaging, the rotational components result in range curvature and quadratic phase error changing with distance.

zh-cn	该文针对微波光子雷达系统提出一种新的ISAR成像算法，该算法同时考虑了目标转动分量对回波包络和相位的影响，
en-us	To solve this problem, an effective ISAR imaging algorithm is put forward which considers the influence of the target’s rotational component to echo envelope and phase.

zh-cn	以包络相关值为目标函数值迭代估计目标转速，根据转速估计值，在距离向进行重采样对齐包络，在方位向构造空变的方位补偿函数校正转动相位。
en-us	The value of envelope correlation is take as objective function and the target’s rotate speed is estimated by iteration; The range curvature is corrected by time resampling; The quadratic phase error is compensated by azimuth compensation function.

zh-cn	仿真和实测数据的处理结果证明了该算法的有效性。
en-us	Both simulated and real-measured data experimental results confirm the effectiveness of the proposed algorithm.

zh-cn	为了满足时间延时积分(TDI)CMOS图像传感器转换全差分信号的需要，同时符合列并行电路列宽的限制，该文提出并实现了一种10 bit全差分双斜坡模数转换器(ADC)。
en-us	A 10 bit fully differential dual slope Analog-to-Digital Converter (ADC) for Time Delay Integration(TDI) CMOS image sensors is realized based on column-parallel single-slope ADC.

zh-cn	在列并行单斜坡ADC的基础上，采用2个电容的上极板对差分输入进行采样，电容下极板接2个斜坡输出完成量化。
en-us	Top plates of the two capacitors are used for sampling differential inputs, and the bottom plates are connected to ramp generator for conversion.

zh-cn	基于电流舵结构的斜坡发生器同时产生上升和下降斜坡，2个斜坡的台阶电压大小相等。
en-us	Current steering is used to generate the rising and falling ramp with the same step voltage simultaneously.

zh-cn	该电路使用SMIC 0.18 μm CMOS工艺设计实现，ADC以19.49 kS/s的采样频率对1.32 kHz的输入进行采样，仿真得到无杂散动态范围和有效位数分别为87.92 dB和9.84 bit。
en-us	The proposed ADC is fabricated in SMIC 0.18 μm CMOS process. Simulated spurious free dynamic range and effective number of bits are 87.92 dB and 9.84 bit with the input frequency of 1.32 kHz at19.49 kS/s sampling rate, respectively.

zh-cn	测试显示该ADC的微分非线性误差和积分非线性误差分别为–0.7/+0.6 LSB和–2.6/+2.1 LSB。
en-us	Measured results show that the ADC has a differential nonlinearity of–0.7/+0.6 LSB and integral nonlinearity of –2.6/+2.1 LSB.

zh-cn	针对传统的模糊C-均值(FCM)算法没有考虑图像像素的空间邻域信息，对噪声敏感，算法收敛较慢等问题，该文提出一种抑制式非局部空间直觉模糊C-均值图像分割算法。
en-us	In order to deal with these issues of the traditional Fuzzy C-Means (FCM) algorithm, such aswithout consideration of the spatial neighborhood information of pixels, noise sensitivity and low convergence speed, a suppressed non-local spatial intuitionistic fuzzy c-means image segmentation algorithm is proposed.

zh-cn	首先，通过计算像素的非局部空间信息提高抗噪能力，克服传统的FCM算法只考虑图像单个像素的灰度特征信息的缺陷，提高分割精度。
en-us	Firstly, in order to improve the accuracy of segmentation image, the non-local spatial information of pixel is used to improve anti-noise ability, and to overcome the shortcomings of the traditional FCM algorithm, which only considers the gray characteristic information of single pixel.

zh-cn	其次，根据直觉模糊集理论，通过“投票模型”自适应生成犹豫度作为抑制因子修正隶属度，提高算法的运行效率。
en-us	Secondly, by using the ‘voting model’ based on the intuitionistic fuzzy set theory, the hesitation degrees are adaptively generated as inhibitory factors to modify the membership degrees, and then the operating efficiency is increased.

zh-cn	实验结果表明，该算法对噪声鲁棒性较强并且有较好的分割性能。
en-us	Experimental results show that the new algorithm is robust to noise and has better segmentation performance.

zh-cn	由于传统TEM小室的频带宽度不能满足日益增长的宽频带需求，该文采用同轴结构设计了一个DC-6 GHz的宽带电磁辐照装置。
en-us	As the bandwidth of the traditional TEM cell can not satisfy the growing demand for broadband, abroad band electromagnetic radiation device working from DC to 6 GHz is designed based on the coaxial structure.

zh-cn	该装置基于传输线理论和阻抗匹配原理，采用锥形过渡与圆同轴连接的结构，在端口处选用N型连接器，与腔体的连接实现了良好的阻抗匹配。
en-us	According to circuit principle and impedance matching of the transmission line, the device adopts the taper transition structure between the N connector and circular coaxial connected, which achieves the advantages of good impedance matching.

zh-cn	利用CST仿真软件进行建模优化，最后对仿真结构进行加工与调试，仿真结果表明，该同轴电磁辐照装置在DC-6 GHz频率范围内S11均在–10 dB以下，
en-us	The device is simulated by the CST software, and has been fabricatedand measured. The simulated results show that S11 is better than –10 dB in the frequency range of DC-6 GHz.

zh-cn	由于加工的误差测试结果在个别频点稍有偏差，但趋势和仿真结果具有较好的一致性，吻合较好，证明该辐照装置具有良好的传输性能。
en-us	Due to the machining error, test results are slightly biased at individual frequencies, which have good consistency with the simulated results and demonstrate the desirable transmission performance of the radiation device.

zh-cn	该文设计的同轴腔在电磁辐照系统中具有很好的应用价值。
en-us	The design has great application value in electromagnetic radiation system.

zh-cn	为了缩短专用集成电路和片上系统的功能验证周期，该文提出FPGA硬核处理器系统加速数字电路功能验证的方法。
en-us	In order to reduce the functional verification cycle of application-specific integrated circuits and on-chip system, a method for accelerating functional verification with FPGA digital hard processor system is proposed.

zh-cn	所提方法综合软件仿真功能验证和现场可编程门阵列原型验证的优点，利用集成在片上系统现场可编程门阵列器件中的硬核处理器系统作为验证激励发生单元和功能验证覆盖率分析单元，解决了验证速度和灵活性不能统一的问题。
en-us	The proposed method combines the advantages of software simulation function verification and field programmable gate array prototype verification, and uses the hard processor system integrated in the on-chip system field programmable gate array device as the verification excitation generation and the function verification coverage analysis unit. It solves the problem that verification speed and flexibility can not beunified.

zh-cn	与软件仿真验证相比，所提方法可以有效缩短数字电路的功能验证时间；
en-us	Compared with software simulation verification, the proposed method can effectively shorten thefunctional verification time of digital circuits;

zh-cn	在功能验证效率和验证知识产权可重用方面表现优于现有的FPGA原型验证技术。
en-us	it is superior to existing FPGA prototyping technology in termsof functional verification efficiency and verification of intellectual property reusability.

zh-cn	移动边缘计算(MEC)通过在无线网络边缘为用户提供计算能力，来提高用户的体验质量。
en-us	Mobile Edge Computing (MEC) improves the quality of users experience by providing users with computing capabilities at the edge of the wireless network.

zh-cn	然而，MEC的计算卸载仍面临着许多问题。
en-us	However, computing offloading in MEC still facessome problems.

zh-cn	该文针对超密集组网(UDN)的MEC场景下的计算卸载，考虑系统总能耗，提出卸载决策和资源分配的联合优化问题。
en-us	In this paper, a joint optimization problem of offloading decision and resource allocation is proposed for the computation offloading problem in Ultra-Dense Networks (UDN) with MEC.

zh-cn	首先采用坐标下降法制定了卸载决定的优化方案。
en-us	To solve this problem, firstly, the coordinate descent method is used to formulate the optimization scheme for the offloading decision.

zh-cn	同时，在满足用户时延约束下采用基于改进的匈牙利算法和贪婪算法来进行子信道分配。
en-us	Meanwhile, the improved Hungarian algorithm and greedy algorithm are used to allocate the channelsto meet the user’s delay requirements.

zh-cn	然后，将能耗最小化问题转化为功率最小化问题，并将其转化为一个凸优化问题得到用户最优的发送功率。
en-us	Finally, the problem of minimizing energy consumption is converted intoa problem of minimizing power. Then it is converted into a convex optimization problem to get the user’soptimal transmission power.

zh-cn	仿真结果表明，所提出的卸载方案可以在满足用户不同时延的要求下最小化系统能耗，有效地提升了系统性能。
en-us	Simulation results show that the proposed scheme can minimize the energy consumption of the system while satisfying the users’ different delay requirements, and improve effectively the performance of the system.

zh-cn	与经典的K均值聚类算法相比，模糊C均值(FCM)聚类算法通过引入模糊因子，考虑不同聚类数据簇之间的相互关系，得到可分性更好的聚类结果。
en-us	Comparing with K-means, Fuzzy logic is introduced in Fuzzy C-Means to handle the information between clusters. It can obtain better cluster results.

zh-cn	但是模糊因子的引入，使得任意一个样本点都存在模糊性，造成FCM极易受到噪声和离群点的影响，聚类结果泛化性能较差。
en-us	However, fuzzy logic makes observations could belong to more than just one cluster, which results FCM is especially sensitivity to the noisy and outlier and has poor generalization performance.

zh-cn	因此，该文提出一种簇间可分的鲁棒FCM算法(RBI-FCM)。
en-us	So a Rrobust Fuzzy C-Means clustering integrated Between-cluster Informationalgorithm (RBI-FCM) is proposed.

zh-cn	RBI-FCM利用K均值算法对模糊隶属度的稀疏特征，降低不同数据簇之间的相互作用，突出不同数据簇相邻区域的可分性；
en-us	Taking advantage of the sparsity of K-means, RBI-FCM helps to reduce the interactions among different clusters and improve the separability of sample points which locate in the adjacent domains of different clusters.

zh-cn	另外，RBI-FCM在极小化数据簇内部散布度的条件下，考虑不同数据簇之间的可分性，可提高聚类模型的泛化性能。
en-us	Beside minimizing the inner-cluster scattering condition, RBI-FCM considers thebetween-cluster information. The generalization performance of RBI-FCM can be improved.

zh-cn	该文设计了有效的模型求解迭代算法。
en-us	An effective iterative algorithm for solving the model is designed in this paper.

zh-cn	实验结果表明，RBI-FCM算法提高了FCM的鲁棒性，有效降低FCM对数据簇分布差异性和抽样不均衡的敏感性，得到理想的聚类结果。
en-us	The experimental results show that the RBI-FCM improves the robustness of FCM and reduce effectively its sensitivity to size-imbalance and differences onthe distribution of clusters of FCM.

zh-cn	频谱弥散(SMSP)干扰与线性调频雷达信号之间存在大量的时频域耦合，干扰效能突出。
en-us	The great clustering result is obtained. SMeared SPectrum (SMSP) jamming has lots of coupling in time and frequency domain with Linear Frequency Modulated (LFM) radar signals, which has good jamming performance.

zh-cn	该文提出一种信息域的抗SMSP干扰的信号处理算法，
en-us	This paper proposes a signal processing method for countering SMSP jamming in information domain.

zh-cn	根据SMSP干扰信号的形式与特点，通过自适应改变压缩感知的干扰基字典，同时匹配雷达信号与干扰信号的调频率，构建压缩感知求解模型并基于凸优化算法完成信号重构，
en-us	According to the formulation and characteristics of SMSP signal, the jamming dictionary is changed automatically, the frequency modulation rate of LFM and SMSP signal is matcheal at the same time, the compressed sampling model is consructed and reconstruction of signal is carried out based on convex optimization.

zh-cn	最终实现干扰信号的识别及雷达信号的提取。
en-us	Finally, the recognition of jamming signal and extraction of radar signal are achieved.

zh-cn	该算法中冗余字典的构造采用了Pei型分数阶傅里叶快速分解方法，不需要反复对信号进行时频域解耦，并且迭代次数较少，运算效率较高。
en-us	Pei type fractional Fourier decomposition method is used in construction of redundant dictionary. Modulation and demodulation between time and frequency domain are avoided in this method, which leads to improvement in fewer iteration times and higher arithmetic speed.

zh-cn	现代星载合成孔径雷达(SAR)系统要求同时具备高分辨率和宽测绘带的能力，而传统单通道星载SAR系统在分辨率和测绘带两个重要指标之间存在固有矛盾，因此方位向多通道的方法被提出并用于解决上述问题。
en-us	The modern spaceborne SAR system requires both high resolution and wide swath, and the conventional single channel spaceborne SAR system has a contradiction between the two important indexes, the azimuth multichannel method is proposed and used to solve the above problem.

zh-cn	该文在分析方位向多通道回波模型的基础上，结合Relax算法的特点，提出了一种基于Relax算法的星载SAR高分宽幅(HRWS)成像方法，并给出了新方法的详细迭代流程。
en-us	Based on the analysis of the azimuth multichannel echo model and the characteristics of the Relax algorithm, a spaceborne SAR HighResolution Wide Swath (HRWS) imaging method is proposed, and the iterative process of the new method is described in detail.

zh-cn	通过点目标回波仿真，并与传统的方位向多通道HRWS重建方法进行对比，验证了新方法的可靠性和有效性。
en-us	By the simulation of point target echo, and comparing with the traditional azimuth multichannel HRWS reconstruction methods, the reliability and effectiveness of the proposed method are verified.

zh-cn	针对直接利用卷积自编码网络未考虑视频时间信息的问题，该文提出基于贝叶斯融合的时空流异常行为检测模型。
en-us	Focusing on the problem that convolutional auto-encoder network based anomaly detection ignores time information, a novel anomaly detection model based on Bayesian fusion of spatial-temporal stream is proposed.

zh-cn	空间流模型采用卷积自编码网络对视频单帧进行重构，时间流模型采用卷积长短期记忆(LSTM)编码-解码网络对短期光流序列进行重构。
en-us	A convolution auto-encoder network is used in spatial stream model to reconstructs video frames, anda convolutional Long Short-Term Memory (LSTM) encoder-decoder network is used to reconstruct short-termoptical sequence in the temporal stream model.

zh-cn	接着，分别计算空间流模型和时间流模型下每帧的重构误差，设计自适应阈值对重构误差图进行二值化，
en-us	Then, the reconstruction errors under spatial and temporal stream are calculated separately. Meanwhile, an adaptive thresholds is designed to obtain the reconstruction binary error maps.

zh-cn	并基于贝叶斯准则对空间流和时间流下的重构误差进行融合，得到融合重构误差图，并在此基础上进行异常行为判断。
en-us	Finally, the Bayesian fusion strategy is developed to combine the reconstruction error of spatial and temporal stream to obtain the final fusion reconstruction error map based on which the abnormal behavior can be determined.

zh-cn	实验结果表明，该算法在UCSD和Avenue视频库上的检测效果优于现有异常检测算法。
en-us	Experimental results show that the proposed algorithm is superior to the existinganomaly detection algorithms in UCSD and Avenue datasets.

zh-cn	该文给出了基于差族的高斯整数互补序列构造方法。
en-us	Constructions of Gaussian integer periodic complementary sequences are presented in this paper.

zh-cn	利用差族与互补序列之间的联系，首先推导出高斯整数互补序列存在的充分条件，进而直接构造了阶数为2的高斯整数互补序列。
en-us	Based on the relationship between periodic complementary sequences and difference families, the sufficient condition of the existence of Gaussian integer periodic complementary sequences is proposed at first, then Gaussian integer periodic complementary sequences with degree 2 are constructed directly.

zh-cn	为进一步增加高斯整数互补序列数目，又利用映射方法构造了阶数为4的高斯整数互补序列。
en-us	To extend thenumber of Gaussian integer complementary sequences, Gaussian integer complementary sequences with degree4 are constructed based on mappings.

zh-cn	同传统的2元互补序列相比，高斯整数互补序列的存在数目很多，因此该文方法可以为通信系统提供大量的互补序列。
en-us	Compared with binary complementary sequences, there are more Gaussian integer complementary sequences, as a result, the presented methods will propose an abundance of complementary sequences for communication systems.

zh-cn	随着雷达信号的日益复杂，从实数序列中提取特征变得越来越困难，但当它们表示成符号序列时，通常能更容易地挖掘出有效的特征参数。
en-us	With the increasing complexity of radar signals, it is more and more difficult to extract features ofthe real sequences, but when they are transformed to a symbol sequence, it is usually easier to mine the effective feature parameters.

zh-cn	因此，该文提出一种基于多尺度信息熵(MSIE)的雷达信号识别方法。
en-us	Therefore, a radar signal recognition method based on Multi-Scale Information Entropy (MSIE) is proposed.

zh-cn	首先通过符号聚合近似(SAX)算法在不同字符集尺度下将雷达信号转换为符号化序列；
en-us	Firstly, the radar signal is transformed into symbolic sequence by Symbolic Aggregate approXimation (SAX) algorithm under different character number scales.

zh-cn	然后联合各符号序列的信息熵值，组成MSIE特征向量；
en-us	Then, the information entropy of each symbol sequence is combined to form the MSIE feature vector.

zh-cn	最后，使用k邻近算法(k-NN)作为分类器实现雷达信号的分类识别。
en-us	Finally, the k-Nearest Neighbor(k-NN) is used as a classifier to realize the classification and identification of radar signals.

zh-cn	通过仿真6种典型的雷达信号进行验证，结果表明该方法在信噪比(SNR)为5 dB时，不同雷达信号的识别正确率大于90%，并且优于传统的基于复杂度特征(盒维数和稀疏性)的识别方法。
en-us	The simulation results of 6 typical radar signals show that using the proposed method the correct recognition rate of different radar signals is greater than 90% when Signal to Noise Ratio (SNR) is 5 dB, and better performance can be obtained compared with the traditional identification method based on complexity characteristics (box-dimension and sparseness).

zh-cn	图像质量评价研究的目标在于模拟人类视觉系统对图像质量的感知过程，构建与主观评价结果尽可能一致的客观评价算法。
en-us	The goal of Image Quality Assessment (IQA) research is to simulate the Human Visual System’s(HVS) perception process of assessing image quality and construct an objective evaluation algorithm that is as consistent as the subjective evaluation result.

zh-cn	现有的很多算法都是基于局部结构相似设计的，但人对图像的主观感知是高级的、语义的过程，而语义信息本质上是非局部的，因此图像质量评价应该考虑图像的非局部信息。
en-us	Many existing algorithms are designed based on local structural similarity, but human subjective perception of images is a high-level, semantic process, and semantic information is essentially non-local, so image quality assessment should take the non-local information of the image into consideration.

zh-cn	该文突破了经典的基于局部信息的算法框架，提出一种基于非局部信息的框架，并在此框架内构建了一种基于非局部梯度的图像质量评价算法，
en-us	This paper breaks through the classical framework based on local information, and proposes a framework based on non-local information. Under the proposed framework, an image quality assessment algorithm based on non-local gradient is also presented.

zh-cn	该算法通过度量参考图像与失真图像的非局部梯度之间的相似性来预测图像质量。
en-us	This algorithm predicts image quality by measuring the similarity between the non-local gradients of reference image and the distorted image.

zh-cn	在公开测试数据库TID2008, LIVE, CSIQ上的数值实验结果表明，该算法能获得较好的评价效果。
en-us	The experimental results on the public test database TID2008, LIVE, and CSIQ show that the proposed algorithm can obtain better evaluation results.

zh-cn	针对Jousselme证据距离函数不能较好描述证据局部冲突和不能对高冲突证据进行准确冲突度量的不足，该文首先提出改进的Jousselme证据距离函数，
en-us	In the light of the disadvantages that Jousselme’s evidential distance function can not describe thelocal conflicting information of evidence well and can not measure the conflict of high conflicting evidence accurately, an improved Jousselme’s evidential distance function is proposed.

zh-cn	该函数基于能够较好描述证据之间局部冲突情况的非重合度对Jousselme证据距离函数进行改进，使其冲突度量结果随非重合度取值及其取值范围的变化按适当比例进行变化；
en-us	In the new function, Jousselme’s evidence distance function is improved by using the non-coincidence degree, which can better describe the local conflict of evidence, so that the conflict measure result of evidence varies proportionally with the value of the non-coincidence degree and the scope of its change.

zh-cn	其次，基于冲突系数和新改进Jousselme证据距离函数共同构建改进的融合冲突度量函数。
en-us	Secondly, an improved fusion conflict measure function isconstructed based on the conflict coefficient and the new improved Jousselme’s evidential distance function.

zh-cn	在此基础上，对焦元权系数计算式进行改进，并依此对局部多维冲突信息进行按比例分配。
en-us	Onthis basis, the weight coefficient formula of focal element is improved, and the local multi-dimensional conflicting information is assigned proportionately.

zh-cn	理论及应用分析结果表明，新算法是一种适用性广泛且抗干扰性能好的证据融合算法。
en-us	Theoretical and application analysis results show that the new algorithm is a kind of evidence fusion algorithm with wide applicability and good anti-jamming performance.

zh-cn	为提高MEMS陀螺仪测量精度，抑制测量噪声对其造成的影响，该文分析了某型号MEMS陀螺仪误差特性，提出基于递归最小二乘法(RLS)多重小波分解重构的强追踪自反馈模型，建立新的软阈值函数。
en-us	In order to improve the measurement accuracy of Micro Electro Mechanical Systems (MEMS) gyroscopes, the influence of measurement noise on them is suppressed. The error characteristics of a certain type of MEMS gyroscope are analyzed. A strong tracking self-feedback model based on Recursive Least Square(RLS) multiple wavelet decomposition reconstruction is proposed to establish a new soft threshold function.

zh-cn	由于模型处理后的数据带有部分奇异值，该文提出了一种改进的中值滤波算法。
en-us	Since the model processed data has partial singular values, an improved median filtering algorithm is proposed.

zh-cn	对于陀螺仪零偏噪声问题，提出零偏不稳定性抑制算法，并对该算法模型进行了详细的描述。
en-us	For the problem of gyro zero-bias noise, a zero-bias stability suppression algorithm is proposed.

zh-cn	将某项目研究中列车姿态测量系统的实验数据应用到该算法模型中。
en-us	In this paper,the algorithm model is described in detail, and the experimental data of the train attitude measurement systemin a project research are applied to the algorithm model.

zh-cn	测试实验分为静态、动态两组，其结果均表明：该算法减小了信号中的噪声，有效地抑制了MEMS陀螺仪随机漂移，提高了姿态解算的精度。
en-us	The test experiments are divided into static anddynamic groups. The results show that the algorithm reduces the noise in the signal, suppresses effectively therandom drift of the MEMS gyroscope and improves the accuracy of the attitude calculation.

zh-cn	肯定了该算法对陀螺仪输出信号噪声去除，以及使用精度提升的可行性和有效性。
en-us	The feasibility and effectiveness of this method are affirmed to remove the signal noise of the gyroscope output and improve the accuracy of the use.

zh-cn	运动目标速度估计是机载单天线高分辨率合成孔径雷达(SAR)实现运动目标成像和定位的关键环节。
en-us	Velocity estimation of moving targets is a key part of ground moving target imaging and positioning in airborne single-antenna high-resolution SAR system.

zh-cn	针对现有方法运算量大、易受距离徙动干扰等缺点，该文提出一种基于回波序列最小二乘拟合的速度估计方法。
en-us	In order to solute the defects of traditional algorithms,such as high computation brought by searching and interpolation and low reliability caused by range cellmigration, a novel method based on least square fitting of echo sequence is proposed.

zh-cn	利用该方法，首先通过包络相关提取相邻回波序列的距离变化量，然后对其做最小二乘线性拟合，目标的距离向速度和方位向速度可由拟合系数计算得到。
en-us	Range changes between adjacent echo sequences are extracted using envelope correlation, and coefficients of range change equation are obtained by least square linear fitting, from which radial velocity and along-track velocity can be derived.

zh-cn	与传统方法相比，该方法不仅计算量小，而且无须先做距离徙动校正(RCMC)。
en-us	Compared with the traditional algorithms, the new method has less computation and can work without RCMC.

zh-cn	该文给出了新方法的数学模型和参数选取原则，分析了该方法的估计精度、计算量和适用条件，并通过仿真和实际数据处理验证了该方法的有效性。
en-us	The mathematical model is presented and the principle of parameter selection is provided, and accuracy,computation and applicable conditions of the algorithm are analyzed. The effectiveness of the proposedalgorithm is validated by simulation and real data.

zh-cn	使用拍卖方式来进行资源分配可以使得资源提供商获得更大的收益，是云计算领域近年来研究的重点之一。
en-us	Auction based resource allocation can make resource provider get more profit, which is a major challenging problem for cloud computing.

zh-cn	但资源分配问题是NP难的，无法在多项式时间内求解，
en-us	However, the resource allocation problem is NP-hard and can not besolved in polynomial time.

zh-cn	现有研究主要通过近似算法或启发式算法来实现资源分配，但存在算法耗时长，与最优解相比准确度低的缺点。
en-us	Existing studies mainly use approximate algorithms or heuristic algorithms to implement resource allocation in auction, but these algorithms have the disadvantages of low computational efficiency or low allocate accuracy.

zh-cn	监督学习中分类及回归思想可对多维云资源分配问题进行建模和分析，
en-us	In this paper, the classification and regression of supervised learning is used to model and analyze multi-dimensional cloud resource allocation.

zh-cn	针对不同问题规模，该文提出基于线性回归、逻辑回归、支持向量机的3种资源分配算法，并且基于临界值理论设计了支付价格算法，从而确保拍卖机制的可信性。在社会福利、分配准确率、算法执行时间、资源利用率等多个方面进行测试分析，取得了很好的效果。
en-us	For the different scale of problem, three resource allocation predict algorithms based on linear regression, logistic regression and Support VectorMachine (SVM) are proposed. Through the learning of the small-scale training set, the predict model can guarantee that the social welfare, allocation accuracy, and resource utilization in the feasible solution are very close to the optimal allocation solution.

zh-cn	为解决传统遥感图像分类方法特征提取过程复杂、特征表现力不强等问题，该文提出一种基于深度卷积神经网络和多核学习的高分辨率遥感图像分类方法。
en-us	To solve the problems of complex feature extraction process and low characteristic expressiveness oftraditional remote sensing image classification methods, a high resolution remote sensing image classificationmethod based on deep convolution neural network and multi-kernel learning is proposed.

zh-cn	首先基于深度卷积神经网络对遥感图像数据集进行训练，学习得到两个全连接层的输出将作为遥感图像的两种高层特征；
en-us	Firstly, the deepconvolution neural network is constructed to train the remote sensing image data set to learn the outputs oftwo fully connected layers, which are taken as two high-level features of remote sensing images.

zh-cn	然后采用多核学习理论训练适合这两种高层特征的核函数，并将它们映射到高维空间，实现两种高层特征在高维空间的自适应融合；
en-us	Then, the multi-kernel learning is used to train the kernel functions for these two high-level features, so that they can be mapped to the high dimensional space, where these two features are fused adaptively.

zh-cn	最后在多核融合特征的基础上，设计一种基于多核学习-支持向量机的遥感图像分类器，对遥感图像进行精确分类。
en-us	Finally, with the combined features, a remote sensing image classifier based on Multi-Kernel Learning-Support Vector Machine(MKL-SVM) is designed for remote sensing image classification.

zh-cn	实验结果表明，与目前已有的基于深度学习的遥感图像分类方法相比，该算法在分类准确率、误分类率和Kappa系数等性能指标上均有所提升，
en-us	Experimental results show that compared with the existing deep learning based remote sensing classification methods, the proposed algorithm achieves improved results in terms of classification accuracy, error, and Kappa coefficient.

zh-cn	在实验测试集上3个指标分别达到了96.43%, 3.57%和96.25%，取得了令人满意的结果。
en-us	On the experimental test set,the above three indicators reach 96.43%, 3.57%, and 96.25% respectively, and satisfactory results are obtained.

zh-cn	为提高现有随机脉冲噪声(RVIN)检测算法的检测准确率和执行效率，该文试图从构建描述能力更强的特征矢量和训练非线性映射更为准确的预测模型两个方面入手，实现一种基于训练策略的快速RVIN检测算法。
en-us	To improve the detection accuracy and execution efficiency of the existing Random-Valued Impulse Noise (RVIN) detectors, a fast training-based RVIN detection algorithm is implemented by constructing a more descriptive feature vector and training a detection model with more accurate nonlinear mapping.

zh-cn	一方面，提取多个不同阶的对数绝对差值排序统计值并结合一个能够反映图像边缘特性的统计值作为刻画图块中心像素点是否为噪声的特征矢量。
en-us	On the one hand, multiple Rank-Ordered Logarithmic absolute Deviation (ROLD) statistics are extracted and combined with a statistical value reflecting the edge characteristics in the form of feature vector to describe how RVIN-like the center pixel of a patch is.

zh-cn	在计算量增加极少的情况下，显著提升了特征矢量的描述能力。
en-us	The description ability of the feature vector is improved significantly while the computational complexity is just increased in small amount.

zh-cn	另一方面，基于深度置信网络(DBN)训练RVIN预测模型(RVIN检测器)将特征矢量映射为噪声类型标签，实现了比浅层预测模型更为准确的映射。
en-us	On the other hand, an RVIN prediction model (RVIN detector) is obtained by training a Deep Belief Network (DBN) to map the feature vectors to noise labels, which is more accurate than the shallow prediction model.

zh-cn	大量实验数据表明：与现有的RVIN检测算法相比，所提算法在检测准确率和执行效率两个方面都更有优势。
en-us	Extensive experimental results show that, compared with the existing RVIN detectors, the proposed one has better performance in terms of detection accuracy and execution efficiency.

zh-cn	现有IP定位技术通过查询IP注册信息数据库或利用测量得到的时延等信息确定IP具体位置，在实际中由于受各种因素的影响，对网络中的大部分IP都无法得到准确、合理的定位结果。
en-us	The existing IP location technology determines the location of IP by querying IP to register information databases or using time-delay information. In fact, due to the influence of various factors, most ofthe IP in the network can not get accurate and reasonable positioning results.

zh-cn	为此，该文提出一种基于网络结构特征的IP所属区域识别方法。
en-us	For this reason, a region recognition method of IP is proposed based on network structure features.

zh-cn	该方法通过探测节点向待定位的IP发送Traceroute探测包获得两者之间的网络结构特征，并比较待定位节点和已知地理位置节点之间的网络结构特征确定待定位节点所属区域。
en-us	This method obtains the network topology information between the two nodes by sending the Trace route detection packet from the detection nodes to the IPs that need to be located Comparing the network structure features between the nodes to be located and the known geographical nodes determines where the nodes located.

zh-cn	测试结果表明该文方法和现有的数据库查询的正确率相比有部分提升。
en-us	The actual test shows that thismethod can achieve better results.

zh-cn	群组签密既能实现群组签名，又能实现群组加密，但是现有的群组签密方案的发送者和接收者基本上在同一个密码系统中，不能满足现实环境的需求，而且基本上采用的是公钥加密技术，公钥加密技术在加密长消息时效率较低。
en-us	Group signcryption is a cryptosystem which can realize group signature and group encryption.However, the message sender and receiver of existing group signcryption schemes are basically in the same cryptosystem, which does not meet the needs of the real environment and the public key encryption technology is basically used, public key encryption technology in encrypted long message efficiency is too low.

zh-cn	因此该文提出由基于身份的密码体制(IBC)到无证书密码体制(CLC)的异构密码系统的混合群组签密方案。
en-us	Therefore,this paper proposes a hybrid group signcryption scheme based on heterogeneous cryptosystem from Identity-Based Cryptosystem (IBC) to CertificateLess Cryptosystem (CLC).

zh-cn	在该方案中，私钥生成器(PKG)和密钥生成中心(KGC)能够分别在IBC密码体制和CLC密码体制中产生自己的系统主密钥；而且群组成员只有协作才能解签密，提高了方案的安全性；
en-us	In the scheme, The Private Key Generator(PKG) in the IBC cryptosystem and Key Generation Center (KGC) in the CLC cryptosystem generate their own system master keys, and group members can only solve signcryption through collaboration, which improves the security of the scheme.

zh-cn	同时在无需更换群组公钥和其他成员私钥的情况下，用户可以动态地加入该群组。
en-us	Meanwhile, the user can dynamically join the group without changing the group public key and other members’ private key.

zh-cn	所提方案采用了混合签密，具有可加密任意长消息的能力。
en-us	The scheme uses hybrid signcryption and has the ability to encryptany long message.

zh-cn	在随机预言模型下，证明了该文方案在计算Diffie-hellman困难问题下具有保密性和不可伪造性。
en-us	It is proved that the scheme satisfies confidentiality and unforgeability in computing the Diffie-hellman hard problem in the random oracle model.

zh-cn	通过理论和数值实验分析表明该方案具有更高的效率和可行性。
en-us	Theoretical and numerical analysis shows that the scheme is more efficient and feasible.

zh-cn	为满足未来移动通信网络中多样化的业务需求，为用户提供定制化服务的同时提升网络经济效益，该文提出一种基于在线拍卖的网络切片资源分配算法。
en-us	In order to meet the diversified service requirements in future mobile communication networks and provide users with customized services while improving network economic efficiency, a resource allocation algorithm of network slicing based on online auction is proposed.

zh-cn	根据业务类型将用户的服务请求转化为相应投标信息，以最大化拍卖参与者的社会福利为目标，将切片资源分配问题建模为基于多业务的在线赢家确定问题。
en-us	The algorithm transforms the service requests of users into the corresponding bidding information according to the service types. For maximizing the social welfare of the auction participants, the slicing resource allocation problem is modeled as a multi-service based online winner determination problem.

zh-cn	结合资源分配与价格更新策略，实现基于在线拍卖的资源优化配置。
en-us	Combined with the resource allocation and price updating strategy, the optimal resources allocation based on online auction is achieved.

zh-cn	仿真结果表明，该算法能够在满足用户业务需求的同时，提升网络经济效益。
en-us	The simulation results show that the proposed algorithm can improve the network economic efficiency and satisfy the service requirements of users.

zh-cn	标准应用映射问题中，每个任务的通信量是确定值，而实际应用中任务通信具有突发性和时变特征，因此将任务通信量建模为不确定值具有现实意义。
en-us	In the standard application mapping problem, it is assumed that the communicating traffic of a taskis a fixed value. In the real applications, the communication traffic is uncertain due to the time-varying and bursty characters. Therefore, it has the practical significance modeling the task with communicating traffic uncertainty.

zh-cn	该文利用区间流法对任务不确定性进行描述，基于保守因子对鲁棒性应用映射问题建模，提出了求解问题的改进禁忌搜索算法(Tabu-RAM)，通过5个Benchmark案例对本文模型和算法进行了验证。
en-us	Given the interval flow and a conservation factor, the robust application mapping problem is formulated by a min-max model, and then solved by a revised Tabu-based algorithm (Tabu-RAM) in this paper. The algorithm is verified under five benchmark instances.

zh-cn	实验结果表明Tabu-RAM能够求解传统应用映射问题，且优于现有文献中给出的算法。
en-us	As the experimental results show, under the standard application scenarios, the Tabu-RAM performs better than other methods proposed in the literature.

zh-cn	此外，与传统禁忌搜索算法相比，Tabu-RAM算法在求解鲁棒性应用映射问题时具有更好的性能和稳定性。
en-us	In addition, under the application scenarios with uncertain tasks, experimental results show that the Tabu-RAM performs better and more stable than the traditional tabu algorithm.

zh-cn	针对弹性光网络中物理损伤导致业务频谱利用率低和传输能耗高问题，该文提出一种面向业务的链路损伤感知频谱分区(LI-ASP)能效路由策略。
en-us	To address the problems of low spectrum utilization and high energy consumption caused by physical impairment in elastic optical networks, a service differentiated energy efficiency routing strategy with Link Impairment-Aware Spectrum Partition (LI-ASP) is proposed.

zh-cn	在LI-ASP策略中，为降低不同信道间非线性损伤，基于负载均衡设计一个综合考虑链路频谱状态和传输损伤的路径权重公式，根据调制方式的频谱效率和最大传输距离构造分层辅助图，
en-us	For reducing the nonlinear impairment between different channels, a path weight formula jointly considering the link spectrum state and transmission impairment is designed to balance the load. A modulation level-layered auxiliary graph is constructed accordingto traffic’s spectrum efficiency and maximum transmission distance.

zh-cn	从最高调制等级开始，为高质量业务选择K条边分离的最大权重传输路径；为低质量业务选择K条边分离的最短能效路径。
en-us	Starting from the highest modulation inthe auxiliary graph, the K link-disjoined maximum weight paths are selected for high quality requests, and theK link-disjoined shortest energy efficiency paths are selected for low quality requests.

zh-cn	然后，LI-ASP策略根据业务速率比值对频谱分区，采用首次命中(FF)和尾端命中(LF)联合频谱分配方式，减少不同传输速率业务间的交叉相位调制。
en-us	Then, LI-ASP strategy divides spectrum partition according to requests rate ratio. The First-Fit (FF) and Last-Fit (LF) spectrumal location policies are used to reduce cross-phase modulation between the requests with different rates.

zh-cn	仿真结果表明，该文所提LI-ASP策略在有效降低带宽阻塞率的同时，减少了业务传输能耗。
en-us	The simulation results show that the proposed LI-ASP strategy can reduce the bandwidth blocking probability and energy consumption effectively.

zh-cn	八阵图算法(ESF)是一种具有广义Feistel结构的轻量级分组密码算法，可用在物联网环境下保护射频识别(RFID)标签等资源受限的环境中，目前对该算法的安全性研究主要为不可能差分分析。
en-us	Eight-Sided Fortress (ESF) is a lightweight block cipher with a generalized Feistel structure, whichcan be used in resource-constrained environments such as protecting Radio Frequency IDentification (RFID)tags in the internet of things. At present, the research on the security of ESF mainly adopts the impossibledifferential cryptanalysis.

zh-cn	该文通过深入研究S盒的特点并结合ESF密钥扩展算法的性质，研究了ESF抵抗相关密钥不可能差分攻击的能力。
en-us	The ability of ESF to resist the related-key impossible differential cryptanalysis isstudied based on the characteristics of its S-boxes and key schedule.

zh-cn	通过构造11轮相关密钥不可能差分区分器，在此基础上前后各扩展2轮，成功攻击15轮ESF算法。
en-us	By constructing an 11-round related-keyimpossible differential distinguisher, an attack on 15-round ESF is proposed by adding 2-round at the top and2-round at the bottom.

zh-cn	该攻击的时间复杂度为240.5次15轮加密，数据复杂度为261.5个选择明文，恢复密钥比特数为40 bit。
en-us	This attack has a time complexity of 240.5 15-round encryptions and a data complexityof 261.5 chosen plaintexts with 40 recovered key-bit.

zh-cn	与现有结果相比，攻击轮数提高的情况下，时间复杂度降低，数据复杂度也较为理想。
en-us	Compared with published results, the time complexity isdecreased and the data complexity is ideal with the number of attack rounds increased.

zh-cn	现有的多目标进化聚类算法应用于图像分割时，往往是在图像像素层面上进行聚类，运行时间过长，而且忽略了图像区域信息使得图像分割效果不太理想。
en-us	When multi-objective evolutionary clustering algorithms are applied to image segmentation, theimage pixels are always utilized to be clustered. It results in a long running time. In addition, due to notconsidering the image region information, the image segmentation effect is not ideal.

zh-cn	为了提高多目标进化聚类算法的分割效果和时间效率，该文将图像区域信息与部分监督信息引入多目标进化聚类，提出图像区域信息驱动的多目标进化半监督模糊聚类图像分割算法。
en-us	In order to improve thesegmentation effect and time efficiency of the multi-objective evolutionary clustering algorithm, the imageregion information and some supervised information are introduced into multi-objective evolutionary clustering.Then a multi-objective evolutionary semi-supervised fuzzy clustering image segmentation algorithm driven byimage region information is presented.

zh-cn	该算法首先利用超像素策略获得图像的区域信息，然后结合部分监督信息，设计融合区域信息和监督信息的适应度函数，接着通过多目标进化策略对多个适应度函数进行优化得到最优解集。
en-us	First, the region information of the image is obtained through the super-pixel strategy. Second, two novel fitness functions are designed by introducing the supervised information andregion information. Third, the multi-objective evolutionary strategy is used to optimize these two fitnessfunctions to obtain an optimal solution set.

zh-cn	最后构造融合区域信息与监督信息的最优解评价指标，实现从最优解集中选取一个最优解。
en-us	Finally, an optimal solution evaluation index with region information and supervision information is constructed and utilized to select an optimal solution from the optimal solution set.

zh-cn	实验结果表明：与已有多目标进化聚类算法相比，该算法不但分割效果有所提升，而且运行效率得以提高。
en-us	Experimental results show the proposed algorithm outperforms comparison methods insegmentation performance and running efficiency.

zh-cn	针对背压路由算法容易造成大量队列积压和收敛速度慢的缺陷，该文研究了无线多跳网络中节点功率受限情况下的联合拥塞控制、路由和功率分配的跨层优化问题。
en-us	In order to improve the performance of the large queue backlogs and low convergence rate in back pressure routing algorithm, the cross-layer optimization of joint congestion control, multi-path routing and power allocation in wireless multi-hop networks is investigated.

zh-cn	以最大化网络效用为目标，以流平衡条件、功率等为约束条件建模，基于牛顿法提出了一种具有超线性收敛性能的算法，并运用矩阵分裂技术使该算法能够分布式实施。
en-us	The system is modeled as a network utility maximization problem under the constraints of flow balancing condition and power. Based on the Newton’smethod, the problem is solved and an algorithm with superlinear convergence speed is proposed. With matrix splitting technology, the algorithm can be implemented distributedly further.

zh-cn	仿真结果表明，该算法在实现网络效用最大化的同时，能够有效提高网络中的能量效用，且能将网络中的队列长度稳定在一个较低水平，降低包传输延时。
en-us	The simulation results show thatthe algorithm can effectively increase the energy utility while achieving the maximum network utility, and cankeep the queue length at a very low level to decrease the packet transmission delay.

zh-cn	由于运动误差严重的2维空变性，对于10 GHz超宽带微波光子SAR，传统的直接从相位进行运动误差估计的方法估计精度不高。
en-us	Due to the 2-D vacancies with serious motion errors when processing 10 GHz ultra-wideband microwave photonic-based SAR, current motion error estimation methods directly estimating with phase error can not obtain correct estimation result in this paper.

zh-cn	因此，该文提出一种包络与相位联合的超高分辨运动误差估计方法，能够在没有惯导信息时实现运动误差的精确估计。
en-us	An ultra-high resolution SAR motion error estimation method jointing envelope and phase is proposed, which can realize accurate estimation of motion error without inertial information.

zh-cn	该方法首先在距离徙动矫正(RCMC)之前，通过对包络对齐算法(RAA)提取的包络信息采用最小二乘算法(LSA)与梯度下降算法(GDA)获得近似的3维运动误差。
en-us	Firstly, the approximate 3-D motion error is obtained by applying the Least SquaresAlgorithm (LSA) and the Gradient Descent Algorithm (GDA) to the envelope information extracted by theRange Alignment Algorithm (RAA) before Range Curve Migration Correction (RCMC).

zh-cn	接着，对粗补偿与RCMC之后的数据，先消除方位相位空变，然后采用两维空变的相位误差估计方法获得剩余运动误差的精确估计。
en-us	Then, phase-based motion error estimation is performed on the data after rough compensation and RCMC. After eliminating theazimuth variant phase error, the 2-D space-variant phase error estimation method is used to obtain accurate estimation of residual motion error.

zh-cn	仿真和车载微波光子雷达实测数据验证了该方法的有效性。
en-us	Processing of simulated data and real data acquired from vehicle-borne microwave photonic-based radar validates the effectiveness of the proposed method.

zh-cn	目标定位精度是机载合成孔径雷达(SAR)系统的一项重要技术指标，因此机载SAR图像目标定位具有重要的应用价值。
en-us	The target location accuracy is an important technical parameter of airborne SAR system, thus thetarget location of airborne SAR image is important for application.

zh-cn	在基于距离-多普勒模型的SAR图像目标定位方法中，载机运动参数的精度会直接影响定位的精度，在机载平台导航精度受限的情况下，定位精度会受到很大影响。
en-us	The precision of the moving parameters directly influences the precision of the SAR image target location algorithm based on the Range-Doppler (RD)model. The locating accuracy is greatly affected if the navigation accuracy of the airborne platform is limited.

zh-cn	因此，该文提出一种基于距离-多普勒模型参数更新的机载SAR图像目标定位方法，利用机载SAR图像与基准图像匹配得到的匹配点来对载机运动参数进行更新，提高参数的精度，进而提高定位的精度。
en-us	To solve this problem, an airborne SAR image target location algorithm based on RD model parameter refining is proposed. Using the matching points of airborne SAR image matching with the reference image, the moving parameters are refined with better accuracy, and the locating accuracy is improved.

zh-cn	实验证明了该方法的有效性。
en-us	The experiments show thatthe proposed algorithm is effective.

zh-cn	链路预测旨在发现网络的未知、缺失连接，具有重要的实际应用价值。
en-us	Link prediction aims to discover the unknown or missing links of complex networks, which plays animportant role in practical application.

zh-cn	基于网络结构相似性的链路预测方法具有简单且有效的特点，受到各领域学者的普遍关注。
en-us	The similarity-based link prediction methods attract a lot of attentiondue to their briefness and effectiveness.

zh-cn	然而，许多现有方法在计算节点间存在连接可能性时，忽视了节点间资源承载能力的影响。
en-us	However, most of similarity indices ignore the influence of resource carrying capacity between nodes when calculating the likelihood that a link exists between two endpoints.

zh-cn	鉴于此，该文提出一种基于节点间资源承载度的链路预测方法。
en-us	Because of the problem, a new link prediction method based on resources carrying capacity between nodes isproposed.

zh-cn	该方法首先通过分析节点间资源传输过程，进而对节点间资源承载能力进行量化，提出资源承载度。
en-us	Firstly, the resource carrying capacity is proposed to quantify the capability of resource carrying between nodes.

zh-cn	然后，基于资源承载度对节点间连接可能性的影响进行分析，并提出相应的链路预测方法。
en-us	Then, based on the resource carrying capacity, a new link prediction method is proposed byanalyzing the impact of node connectivity.

zh-cn	9个真实网络的实验结果表明，相比其他链路预测方法，该方法在3个衡量标准下均具有较高的预测精度。
en-us	The experimental results of nine real networks show that comparedwith other link prediction methods, the proposed method can achieve higher prediction accuracy under threestandard metrics.

zh-cn	该文提出一种空时结构下的精确宽带波束赋形算法。
en-us	An accurate wideband beampattern synthesis method based on the space-time structure is proposed.

zh-cn	在空频结构下，对各子带权值进行波束赋形优化。根据权值在满足共轭对称条件下，阵列幅度响应可以转换为线性函数这一原理，将波束赋形转换为凸优化问题。
en-us	Making use of the property that the magnitude response can be translated into linear function under the condition of conjugate symmetric weights, the beampattern synthesis problem is transformed into the convex optimization problem.

zh-cn	利用内点法得到最优权值后，通过空频结构与空时结构之间的权值转换关系，得到空时结构下的波束权值。
en-us	The weights of space-time structure can be obtained by utilizing the principle ofrelationship between the two structures, after the weights of space-frequency structure is calculated by theinterior point method.

zh-cn	该算法能够对宽带波束图进行精确地赋形，同时保证在期望方向上阵列响应具有线性相位特性。
en-us	The proposed method can realize the wideband beampattern synthesis accurately,meanwhile ensuring the linear phase characteristic of the array response.

zh-cn	仿真结果验证了算法的有效性。
en-us	Simulation results demonstrate theeffectiveness of the proposed method.

zh-cn	硬件木马检测已成为当前芯片安全领域的研究热点，
en-us	Hardware Trojan horse detection has become a hot research topic in the field of chip security.

zh-cn	现有检测算法大多面向ASIC电路和FPGA电路，且依赖于未感染硬件木马的黄金芯片，难以适应于由大规模可重构单元组成的粗粒度可重构阵列电路。
en-us	Most existing detection algorithms are oriented to ASIC circuits and FPGA circuits, and rely on golden chips that are not infected with hardware Trojan horses, which are difficult to adapt to the coarse-grained reconfigurable array consisting of large-scale reconfigurable cells.

zh-cn	因此，该文针对粗粒度可重构密码阵列的结构特点，提出基于分区和多变体逻辑指纹的硬件木马检测算法。
en-us	Therefore, aiming at the structural characteristics of Coarse-grained reconfigurable cryptographic logical arrays, a hardware Trojan horse detection algorithm based onpartitioned and multiple variants logic fingerprints is proposed.

zh-cn	该算法将电路划分为多个区域，采用逻辑指纹特征作为区域的标识符，通过在时空两个维度上比较分区的多变体逻辑指纹，实现了无黄金芯片的硬件木马检测和诊断。
en-us	The algorithm divides the circuit into multiple regions, adopts the logical fingerprint feature as the identifier of the region, and realizes the hardware Trojan detection and diagnosis without golden chip by comparing the multiple variant logic fingerprints of the regionsin both dimensions of space and time.

zh-cn	实验结果表明，所提检测算法对硬件木马检测有较高的检测成功率和较低的误判率。
en-us	Experimental results show that the proposed detection algorithm hashigh detection success rate and low misjudgment rate for hardware Trojan detection.

zh-cn	全球卫星导航系统(GNSS)导航信号的波形特性将会影响导航信号质量，而信号质量优劣则直接决定了整个GNSS的服务性能极限。
en-us	The waveform characteristics of the navigation signals of Global Navigation Satellite Systems(GNSSs) will be of vital importance for signal quality, which plays an imperative and direct role in achieving high performance of GNSS services.

zh-cn	传统的波形畸变评估方法主要针对传统相移键控(PSK)调制信号的波形幅度和宽度开展研究，而忽视了波形不对称对跟踪误差和测距误差带来的影响。
en-us	These traditional methods for evaluating evil waveforms mainly deal withthe amplitude and width of simple modulated signals such as Phase Shift Keying (PSK) signals. However, noresearch is done on the influences of waveform asymmetry on tracking errors and ranging errors.

zh-cn	该文在国际民航组织(ICAO)所采用的传统测距码波形分析模型TMA/TMB/TMC基础上，给出了适用于各种新型二进制偏置载波(BOC)调制的波形畸变分析扩展模型。
en-us	Based on the traditional thread models, such as Thread Model A (TMA), Thread Model B (TMB) and Thread Model C(TMC), adopted by International Civil Aviation Organization (ICAO), this paper provides a new extended general thread model suitable for new Binary Offset Carrier (BOC) modulated signals.

zh-cn	接着提出能够精细分析波形上升下降沿对称特性(WRaFES)分析模型，并从时域波形、相关函数、S曲线过零点偏差3个方面，深入仿真分析了WRaFES模型的性能特点。
en-us	Then a new evil waveform analysis method, Waveform Rising and Falling Edge Symmetry (WRaFES) Method, is proposed. The effects of WRaFES model are analyzed in detail in terms of time domain, correlation peak and S curve bias.

zh-cn	最后，以北斗试验卫星M1-S B1Cd信号为例，给出了基于WRaFES模型及相关曲线特性的实测分析结果。
en-us	Finally, by taking the B1Cd signal of the first modernized BeiDou navigation satellite System (BDS)experimental satellite named M1-S as an example, tested results of WRaFES model and correlation curves are shown in detail.

zh-cn	研究表明：该方法能够精确分析导航信号波形不对称性及对用户带来的影响，
en-us	Results show that the proposed methods could be able to analyze the asymmetry of signal deformation and its impact on ranging performance with high accuracy.

zh-cn	研究成果可为新型卫星导航信号评估提供一种新方法和新思路，同时还可为GNSS用户接收机相关器间隔参数的合理选取提供建议和技术支撑。
en-us	The research brings about a newreference for new satellite navigation signal evaluation and signal system optimized design. In addition, it can provide valuable suggestions and technical supports for GNSS users to choose reasonable receivers’ correlatorspacing.

zh-cn	针对当前基于人工神经网络的垂直切换算法(ANN-VHO)，存在业务自适应性差和计算复杂度高的问题，该文提出一种基于人工神经网络的自适应垂直切换算法。
en-us	Current research on Vertical HandOver algorithm based on Artificial Neural Network (ANN-VHO)has a poor service adaptability and high computational complexity. Considering this problem, an adaptivevertical handover algorithm based on artificial neural network is proposed.

zh-cn	首先，根据终端获取到的接收信号强度(RSS)，采用阈值判断的方法，遴选出候选网络集；
en-us	Firstly, according to the ReceivedSignal Strength (RSS) obtained by the terminal, a method of thresholding is used to select a candidate networkset.

zh-cn	其次，根据该文划分的不同业务类型，对参数进行自适应选择和归一化；
en-us	Secondly, in terms of the different types of services classified in this paper, the parameters are normalizedand adaptively selected;

zh-cn	再次，把选择的参数输入人工神经网络，判决出候选网络集中最佳的接入网络。
en-us	Thirdly, the selected parameters are input into the artificial neural network to choosethe best access network from the candidate network.

zh-cn	最后，实验结果表明，该算法能根据用户的业务类型合理地选择切换网络，降低切换阻塞率，同时降低算法的时间复杂度。
en-us	Finally, the experimental results show that the algorithm can reasonably select the handover network according to the user's service type, reduce the handover blocking rate and lower the time complexity of the algorithm.

zh-cn	针对脉冲型噪声的抑制问题，该文提出一种自适应的限幅器设计方法。
en-us	An adaptive method of limiter design is proposed to suppress impulsive noise.

zh-cn	该方法以效能函数为指标，采用自适应搜索算法，自动寻找削波器和置零器的最佳门限，且能适用于未知噪声分布的情形。
en-us	With a purpose of maximizing the efficacy function, the proposed method searches for optimal thresholds of clipper and blanker, via adaptive line search.

zh-cn	首先分析了效能与非线性函数的关系，给出关键的优化问题。
en-us	Firstly, based on analysis on the relationship between the efficacy and thenonlinearity, the key problem of optimization is proposed.

zh-cn	然后考虑到效能函数计算复杂，提出基于线搜索的自适应设计算法。
en-us	Then, since the calculation of efficacy is hard, anadaptive algorithm based on linear search approach is developed based on linear search to optimize the efficacy.

zh-cn	其次针对未知分布情况，考虑非参数化的概率密度估计，该算法能够稳健运行且基本取得最优设计效果。
en-us	Considering the noise distribution is unknown, the proposed method employs the nonparametric kernel density estimation and works robustly in the presence of estimation error.

zh-cn	最后，结合两种非高斯噪声和实测大气噪声数据仿真，结果表明：该文方法可自适应寻找最佳门限，使削波器和置零器效能达到最佳；
en-us	Finally, numeric simulations demonstrate that the proposed method can obtain the optimal performance of clippers and blankers successfully.

zh-cn	当噪声分布未知时，该文方法无需假设噪声模型，可与非参数化概率密度估计方法结合，取得最优检测效果。
en-us	In the processing of real atmospheric noise from unknown distribution, the proposed method achieves the best detection performance when combining nonparametric kernel density estimation approach.

zh-cn	针对有源欺骗干扰环境下基于小样本的DOA估计问题，该文提出自适应极化滤波(APF)联合块稀疏贝叶斯学习(BSBL)算法的DOA估计方法。
en-us	For the target DOA estimation under active deception jamming environment with limited samples, anovel DOA estimation method based on the combination of Adaptive Polarization Filter(APF) and BlockSparse Bayesian Learning(BSBL) algorithm is proposed.

zh-cn	首先，通过APF抑制干扰能量，提高信干比。
en-us	First, the interference energy is suppressed using APF.

zh-cn	然后，建立有源欺骗干扰环境下的稀疏贝叶斯模型，基于相邻快拍相关性，利用BSBL算法进行DOA估计。
en-us	Then, the proposed method constructs a sparse Bayesian model under active deception jamming environment.The target DOA is estimated using the BSBL algorithm based on the neighbor time sampling correlation.

zh-cn	仿真和实测数据处理结果表明，所提方法降低了干扰对BSBL算法的影响，且与APF联合子空间类算法或最大似然算法(ML)相比，具有更高的空间分辨率和DOA估计精度。
en-us	Simulated and measured data processing results prove that the proposed method reduces the influence ofinterference on the BSBL algorithm, and has higher spatial resolution and higher angle measurement accuracy,comparing with the method based on the combination of APF and subspace-based DOA algorithms ormaximum likelihood DOA algorithm.

zh-cn	为提高电磁辐射源的定位精度，该文提出一种利用光纤方式同步的超短基线电磁探测阵列(CASMA)。
en-us	To improve the location resolution of electromagnetic radiation source, a ultra-short baseline networkCASMA (Mini-Array by Chinese Academy of Sciences) is proposed for detection, utilizing optical fiber fortiming.

zh-cn	该阵列包括5个电磁探测站和1个控制中心，阵元间距约为1 km(基线长度与波长的比值约为0.1)，同步精度可达10 ns。
en-us	CASMA contains 5 electromagnetic detection stations and a control unit. The distance between eachpair of stations is about 1 km, meaning that the length of baseline to the wavelength is about 0.1. The timingaccuracy is about 10 ns.

zh-cn	CASMA用来测量20～70 kHz长波发射电台的垂直电场信号，并利用低频电磁干涉成像算法计算发射电台的方位角。
en-us	CASMA is applied to record the vertical electric field emitting by radio transmitters.CASMA utilizes interferometric imaging algorithm to calculate the transmitters’ azimuth.

zh-cn	通过实验对比可以发现，估计的发射台方位角与真实发射台方位角之间的误差小于0.2°，远远优于传统的波达角估计方法。
en-us	By experiment, the calculated azimuths approach the expected azimuths with deviations are less than 0.2°, showing many advantages over traditional systems or methods.

zh-cn	因此，CASMA对电磁辐射源具有很高的测向精度。
en-us	Consequently, CASMA has accuracy direction findingresolution for electromagnetic radiation source.

zh-cn	根据实验结果，在2500 km范围内，若两CASMA电磁探测阵对电磁辐射源进行交汇定位，定位精度预期可达0.5%·R(R为探测距离)。
en-us	According to the results, the location accuracy may be expected to be 0.5%·R in a 2500 km scope where R is the distance between the electromagnetic radiation source and CASMA using two sets of CASMA for intersection positioning.

zh-cn	针对现有算法在预测多变量时间序列中的缺失数据时不适用或只适用于缺失数据较少的情况，该文提出一种基于克罗内克压缩感知的缺失数据预测算法。
en-us	In view of the problem that the existing methods are not applicable or are only feasible to the case where only a low ratio of data are missing in multivariable time series, a missing data prediction algorithm is proposed based on Kronecker Compressed Sensing (KCS) theory.

zh-cn	首先，利用多变量时间序列的时域平滑特性和序列之间的潜在相关性从时空两个方面设计了稀疏表示基，从而将缺失数据预测问题建模成稀疏向量恢复问题。
en-us	Firstly, the sparse representation basis is designed to largely utilize both the temporal smoothness characteristic of time series and potential correlation between multiple time series. In this way, the missing data prediction problem is modeled into the problem of sparse vector recovery.

zh-cn	模型求解部分，根据缺失数据的位置特点设计了适合当前应用场景且与稀疏表示基相关性低的观测矩阵。
en-us	In the solution part of the model, according to the location of missing data, the measurement matrix is designed suitable for the current application scenario and low correlation with the sparse representation basis.

zh-cn	接着，从稀疏表示向量是否足够稀疏和感知矩阵是否满足有限等距特性两个方面验证了模型的性能。
en-us	Then, the validity of the model is verified from two aspects: Whether the sparserepresentation vector is sufficiently sparse and the sensing matrix satisfies the restricted isometry property.

zh-cn	最后，仿真结果表明，所提算法在数据缺失严重的情况下具有良好的性能。
en-us	Simulation results show that the proposed algorithm has good performance in the case where a high ratio ofdata are missing.

zh-cn	通过零均值化的微观结构模式二值化(ZMPB)处理，该文提出一种立足于局部图像多尺度结构二值模式提取的图像表示方法。
en-us	By means of Zero-mean Microstructure Pattern Binarization (ZMPB), an image representation method based on image local microstructure binary pattern extraction is proposed.

zh-cn	该方法能够表达图像中可能出现的各种具有视觉意义的重要模式结构，
en-us	The method can express allthe important patterns with visual meaning that may occur in the image.

zh-cn	同时通过主导二值模式学习模型，可以获得适应于图像数据集的主导特征模式子集，在特征鲁棒性、鉴别力和表达能力上达到优异性能，同时可以有效降低特征编码的维度，提高算法的执行速度。
en-us	Moreover, through the dominantbinary pattern learning model, the dominant feature pattern set adapted to the different data sets is obtained,which not noly achieves excellent ability in feature robustness, discriminative and representation, but also cangreatly reduce the dimension of feature coding and improve the execution speed of the algorithm.

zh-cn	实验结果表明该算法性能优异，具有很强的鉴别能力和鲁棒性，优于传统LBP和GIMMRP方法，和很多最新算法结果相比，也具有竞争优势。
en-us	The experimental results show that the proposed method has strong discriminative power and outperforms the traditional LBP and GIMMRP methods. Compared with many recent algorithms, the proposed method alsopresents a competitive advantage.

zh-cn	毫米波混合波束成形结构受到日益广泛的认可，但缺乏以安全性为着眼点的混合波束成形算法研究，特别是当窃听者具有多用户译码能力时，系统安全性能无法得到保障。
en-us	The millimeter-wave hybrid beamforming becomes a widely accepted beamforming method inmillimeter-wave systems. However there is almost no hybrid beamforming algorithm based on security.Especially when the eavesdropper has multi-user decoding capability, the system security performance can notbe guaranteed.

zh-cn	针对上述问题，该文基于人工噪声辅助的思想提出一种毫米波下行多用户系统安全混合波束成形算法。
en-us	To solve this problem, a security hybrid beamforming algorithm is proposed for millimeter wavedownlink multiuser system based on artificial noise.

zh-cn	首先，将混合波束成形矩阵的模拟部分和数字部分解耦合独立求解，
en-us	First, the analog part and the digital part of the hybridbeamforming matrix are decoupled.

zh-cn	在充分考虑信道特性的基础上，通过最大化用户接收信号能量和迫零思想分别设计有用信号的模拟和数字波束成形矩阵；
en-us	Based on the channel characteristics, the analog and digital beamformingmatrices of useful signals are designed by maximizing the user’s received signal energy and Zero-Forcing (ZF).

zh-cn	然后，通过SVD分解设计人工噪声的基带数字预编码矩阵，将人工噪声置于合法用户零空间。
en-us	Then, the artificial noise baseband digital precoding matrix is designed by Singular Value Decomposition(SVD), and the artificial noise is placed in null space of the legal users and worsening eavesdropping channel.

zh-cn	仿真结果表明，人工噪声辅助的安全混合波束成形算法有效解决了存在具有多用户译码能力窃听者时系统的安全问题。
en-us	Simulation results show that the artificial noise-assisted secure hybrid beamforming algorithm solves effectivelythe security problem of the system when there are multi-user decoding ability eavesdroppers.

zh-cn	灰狼优化算法(GWO)是一种新的基于灰狼捕食行为的元启发式算法，被证明是一种具有高水平的探索和开发能力的算法。
en-us	The Grey Wolf Optimizer (GWO) algorithm mimics the leadership hierarchy and hunting mechanismof grey wolves in nature, and it is an algorithm with high level of exploration and exploitation capability.

zh-cn	但是存在开发和探索不平衡的问题，以至于其优化性能并不理想。
en-us	This algorithm has good performance in searching for the global optimum, but it suffers from unbalance between exploitation and exploration.

zh-cn	该文将混沌理论引入GWO中，用于平衡GWO的探索和开发，提出一种改进的混沌灰狼优化算法(CGWO)，并应用于多层感知器(MLPs)的训练。
en-us	An improved Chaos Grey Wolf Optimizer called CGWO is proposed, for solving complex classification problem.

zh-cn	首先，基于Cubic混沌理论对GWO的位置更新公式进行改进，以增加个体的多样性，增大跳出局部最优的概率和对解空间进行深入的搜索；
en-us	In the proposed algorithm, Cubic chaos theory is used to modify the position equation of GWO, which strengthens the diversity of individuals in the iterative search process.

zh-cn	其次，设计一种非线性收敛因子，用于协调和平衡CGWO算法在不同迭代进化时期的探索和开发能力；
en-us	A novel nonlinear convergence factor is designed to replace the linear convergence factor of GWO, so that it can coordinate the balance of exploration and exploitation in the CGWO algorithm.

zh-cn	最后，将CGWO算法作为MLPs的训练器，用于对3个复杂分类问题进行分类实验。
en-us	The CGWO algorithm is used as the trainer of the Multi-Layer Perceptrons (MLPs), and 3 complex classification problems are classified.

zh-cn	结果表明：CGWO在分类准确率，避免陷入局部最优，全局收敛速度和鲁棒性方面相较于其他对比算法均具有较好的性能。
en-us	The statistical results prove the CGWO algorithm is able to provide very competitive results in terms of avoiding local minima, solution precision, converging speed and robustness.

zh-cn	为在混响室中线缆共模干扰时的设备(EUT)进行临界辐射干扰场强测试，并确保与开阔场中测试结果一致，该文推导了线缆上共模电流满足的方程，将共模电流分解为相应的特征电流，计算了终端负载任意时线缆最大方向性系数的变化范围。
en-us	To test the radiated interference E-field threshold of Equipment Under Test (EUT) with common-mode interference of transmission lines in reverberation chambers and unify the test results with the open areas, the range of the maximum directivity of the lines with random loads is calculated by the derivation of the equation of the common-mode currents and decomposition of the currents into the corresponding characteristic ones.

zh-cn	以单导体传输线和同轴线为EUT，分别在混响室和开阔场中测试线缆的临界干扰场强，对计算结果进行了验证。
en-us	The calculated results are validated with the experiments performed in a reverberation chamber and an open area, respectively, with a single conductor line and a coaxial cable as the EUT.

zh-cn	结果表明：最大方向性系数的计算结果可以保证两种不同场地中测试结果的一致性，双线的共模干扰以及同轴线均可以等效为单线，且线缆弯曲对测试结果基本没有影响。
en-us	The theoretical and experimental results show that the test results in the two different areas can be unified with the calculated results. The common mode interference of two conductor lines and coaxial cables can be equivalent to single conductor lines and the bend of the lines almost has no influence on the test results.

zh-cn	该文提出一种基于调频连续波(FMCW)雷达多维参数的卷积神经网络手势识别方法。
en-us	A multi-parameter convolutional neural network method is proposed for gesture recognition based on Frequency Modulated Continuous Wave (FMCW) radar.

zh-cn	通过对雷达信号进行时频分析，估计手势目标的距离、多普勒和角度参数，构建出手势动作的多维参数数据集。
en-us	A multidimensional parameter dataset is constructed for gestures by performing time-frequency analysis of the radar signal to estimate the distance, Doppler and angle parameters of the gesture target.

zh-cn	同时，为了进行手势特征提取和精确分类，提出多分支网络结构和高维特征融合的方案，设计出具有端到端结构的RDA-T多维参数卷积神经网络。
en-us	To realize feature extraction and classification accurately, an end-to-end structured Range-Doppler-Angle of Time (RDA-T) multi-dimensional parameter convolutional neural network scheme is further proposed using multi-branch network structure and high-dimensional feature fusion.

zh-cn	实验结果表明，结合手势动作的距离、多普勒和角度信息进行多维参数学习，所提方法有效解决了单维参数手势识别方法中手势描述信息量低的问题，且手势识别准确率相较于单参数方法提高了5%～8%。
en-us	The experimental results reveal that using the combined gestures information of distance, Doppler and angle for multi-parameter learning, the proposed scheme resolves the problem of low information quantity of single-dimensional gesture recognition methods, and its accuracy outperforms the single-dimensional methods in terms of gesture recognition by 5%～8%.

zh-cn	雷达通信一体化具有频谱利用率高、设备少等优势，该文在OFDM-LFM MIMO雷达的基础上，通过改变每个阵元发射信号的初始频率实现了雷达通信一体化。
en-us	Integration of radar and communication on the electronic war platform is an effective method to reduce volume and enhance spectrum usage and efficiency. A transmitted pattern based on OFDM-LFM MIMO radar is designed to realize the integration of radar and communication by changing initial frequency.

zh-cn	通信接收端通过判别信号的频率实现信息解调；
en-us	The communication receiver interpretation of the bit is based on the initial frequency of the signal.

zh-cn	雷达接收端通过时域频谱拼接实现信号合成，达到与传统OFDM-LFM MIMO雷达一样的距离分辨率。
en-us	In radar receiver, the same range resolution as tradition OFDM-LFM MIMO radar can be get with get the time domain synthetic bandwidth methods.

zh-cn	该方法将数据嵌入到发射信号中，改变了发射信号的初始频率，但没有影响信号之间的正交性。因此，该方法没有改变MIMO雷达的全向方向图，同时也使得通信方向是全向的。
en-us	The proposed method changes the initial frequency without changing theomnidirectional pattern because the orthogonal transmitted signals are nonoverlapping in the spectrum.

zh-cn	仿真实验表明了该方法在雷达和通信两个方面的有效性。
en-us	Simulation examples are provided for performance evaluation and to demonstrate the effectiveness of the proposed information embedding technique.

zh-cn	基于信任的访问控制问题是面向开放式网络访问控制中研究的热点。
en-us	Trust based access control is a research hotspot in open network that access control is one of the importation technology of information security.

zh-cn	该文针对开放式网络环境下网络交互实体不诚信合作的交互访问行为，建立了基于信任的动态访问控制博弈模型，并通过设计的奖惩激励约束机制促使交互实体在自身利益驱动下理性选择系统(设计者)期望的策略，
en-us	For the interactive access behaviors of non-honest cooperationbetween network interactive entities in open network, the dynamic game access control model is establishedbased on trust, and interactive entities are encouraged to rationally choose strategies expected by the system(the designer) driven by its own benefits through the designed mechanism.

zh-cn	以利益作为驱动力，奖励诚信节点，惩罚约束激励不诚信节点，实现符合目标要求实体间的总体均衡状态。
en-us	Taking benefits as the driven force,the mechanism rewards the honest nodes and punishes and restrains the non-honest nodes, and then reaches thegeneral state of equalization between entities which meets the goal.

zh-cn	仿真实验和结果分析表明，在网络交互实体的不诚信访问问题上该激励约束机制是有效的。
en-us	The simulation experiment and result analysis show that the incentive and restraint mechanism is valid and necessary on the issue of non-honest access between network interactive entities.

zh-cn	为了提高光学加密技术的抗选择明文攻击能力与未知攻击下的解密质量，该文设计了基于差异混合掩码与混沌Gyrator变换的光学图像加密算法。
en-us	In order to improve the ability of anti-chosen plaintext attack and decryption quality under unknown attack in current optical encryption technology, an optical image encryption algorithm based on chaotic Gyrator transform and differential mixed mask is proposed.

zh-cn	将输入明文转换成相应的快速响应码；
en-us	The input plaintext is converted into its corresponding Quick Response (QR) code.

zh-cn	考虑明文特性，根据Logistic映射，生成一个混沌相位掩码；
en-us	The chaotic phase mask is generated according to the Logistic map.

zh-cn	同时，联合径向希尔伯特与波带片相位函数，将其与混沌相位掩码融合，构建了混合相位掩码；
en-us	At the same time, the radial Hilbert and the zone plate phase function are combined to fuse with the chaotic phase mask for constructing the mixed phase mask.

zh-cn	随后，利用明文图像迭代Logistic映射所输出的随机序列来计算Gyrator变换的旋转角度，结合混合相位掩码，对快速响应码进行调制，形成Gyrator频谱；
en-us	Then, a random sequence of Logistic chaotic maps is used to calculate the rotation angle of the Gyrator transformation, and the QR code is modulated to form Gyrator spectrum by combining the mixed phase mask.

zh-cn	引入等量分解技术，将Gyrator频谱分割为两个分量，并设置不同的阶数，形成两个差异螺旋相位掩码；
en-us	The Gyrator spectrum is divided into two components by introducing the equivalent decomposition technique, and two differential spiral phase masks are obtained by setting up different orders.

zh-cn	利用奇异值分解(SVD)方法，将其中一个Gyrator频谱分量进行处理，并联合两个差异螺旋相位掩码，分别对其相应的正交矩阵进行编码；
en-us	Then, the Singular Value Decomposition (SVD) is introduced to process one of theGyrator spectral components so that its corresponding orthogonal matrix is encoded by combining twodifferential phase masks.

zh-cn	最后，通过组合编码后的正交矩阵与对角矩阵，基于可逆SVD技术，输出加密密文。
en-us	Finally, by combining the encoded orthogonal matrix and diagonal matrix, the encrypted cipher is outputted based on the reversible SVD technology.

zh-cn	理论分析了所提算法抵抗明文攻击和裁剪攻击的能力，以及加密结果针对密钥变化的敏感性水平。
en-us	The ability of resisting plaintext attack and clipping attack, as well as the sensitivity level of the encryption results to key change is analyzed theoretically.

zh-cn	实验结果验证了所提算法拥有良好的安全性能。
en-us	Experimental results show that the algorithm has good security performance.

zh-cn	为解决多层异构网(HetNet)中全双工小小区基站(SBS)的回程问题，该文提出一种基于非正交多址接入(NOMA)技术的带内无线回程方案。
en-us	To establish effective backhaul connection in multi-tiers Heterogeneous Network (HetNet), by exploiting advanced Non-Orthogonal Multiple Access (NOMA) a novel in-band wireless backhaul scheme is proposed at full-duplex Small cell Base Stations (SBSs).

zh-cn	首先构造出由大规模多输入多输出(MIMO)宏小区基站(MBS)和K层单天线SBS组成的K+1层HetNet，网络中所有基站均工作在全双工模式。
en-us	Firstly, a K+1 HetNet is investigated, where the firsttier consists of Macro Base Stations (MBSs) that are equipped with massive MIMO antennas and theremainder K tiers consist of the different types of single-antenna SBSs. The base stations of the whole networkoperate in full-duplex mode.

zh-cn	特别考虑了MBS下行传输模式，允许全双工SBS采用先进的NOMA技术在下行链路移动用户信号上叠加回程信号。
en-us	Specially, the downlink transmission of MBSs is considered. Hence, at each SBSthe backhaul signal is superposed over the downlink signal.

zh-cn	接着利用随机几何知识和齐次泊松点过程模型，在此HetNet模型上研究移动用户的小小区上行和回程传输信干比覆盖概率，并讨论SBS的吞吐量。
en-us	Then, by using the method from stochastic geometry and modeling all network’s elements as independent homogeneous Poisson Point Processes (PPPs) in this HetNet model, the coverage probabilities of up access link and backhaul link of SBSs are investigated as well as the throughput of small cells.

zh-cn	最终结果表明小小区回程传输覆盖概率尽管随着功率共享系数单调变化，但与移动用户的功率的关系并不满足单调性；
en-us	Finally, the presented simulations and numerical results show that the coverage probability of small cell backhaul is changing monotonously with the power sharing efficient, but the monotony is not held for the power of mobile users.

zh-cn	当满足一定功率分配时，与没有采用NOMA的SBS系统相比，NOMA小小区网络可获得吞吐量增益。
en-us	Compared with the systems without NOMA, it is found that with reasonable power allocation factor, the NOMA-deployed ones achieve the evident throughput gain.

zh-cn	为实现电磁计算的安全可靠和自主可控，该文基于“天河二号”国产众核超级计算机平台，开展大规模并行矩量法(MoM)的开发工作。
en-us	In order to realize safety, reliability and self-control of electromagnetic computing, the large-scale parallel MoM is studied based on domestically-made many-core super computer platform named “Tianhe-2”.

zh-cn	为减轻大规模并行计算时计算机集群的通信压力以及加速矩量法积分方程求解，通过分析矩量法电场积分方程离散生成的矩阵具有对角占优特性，提出一种新型LU分解算法，即对角块矩阵选主元LU分解(BDPLU)算法，
en-us	Anew LU decomposition algorithm named Block Diagonal matrix Pivoting LU decomposition (BDPLU)algorithm, is proposed by analyzing the diagonally dominant characteristics of the matrix generated throughdispersing electric field integral equation of MoM, for the purpose of communication pressure reduction tocomputer cluster and solution acceleration to MoM integral equation during large-scale parallel computation.

zh-cn	该算法减少了panel列分解的计算量，更重要的是，完全消除了选主元过程的MPI通信开销。
en-us	The BDPLU algorithm reduces the amount of calculation in the process of panel factorization. More importantly, the algorithm completely eliminates MPI communication when pivoting.

zh-cn	利用BDPLU算法，并行矩量法突破了6×105 CPU核并行规模，这是目前在国产超级计算平台上实现的最大规模的并行矩量法计算，其矩阵求解并行效率可达51.95%。
en-us	Using BDPLU algorithm, the maximum number of CPU cores break through 6×105 CPU cores, which is the largest scale of parallel MoM computation in domestically-made and many-core supercomputing platform at present, and the parallel efficiency of solving matrix can reach 51.95%.

zh-cn	数值结果表明，并行矩量法可准确高效地在国产超级计算平台上解决大规模电磁问题。
en-us	Numerical results show that parallel MoM can accurately and efficiently solve large-scale electromagnetic field problems on domestic supercomputing platform.

zh-cn	请求接受率和节能是虚拟网映射过程中两个至关重要的指标，然而当前虚拟网映射问题的研究仅考虑单一指标，忽略了两者之间的关联和制约，导致虚拟网映射整体性能下降。
en-us	Request acceptance rate and energy saving are the two most important indicators in the virtual network mapping process. However, the current virtual network embedding problem considers only a single index, ignoring the correlation and constraints between the two, resulting in a decrease in the overall performance of the virtual network embedding.

zh-cn	该文提出一种基于纳什议价的虚拟网多目标映射算法(MOVNE-NB)：
en-us	This paper proposes a Multi-Objective Virtual NetworkEmbedding algorithm based on Nash Bargaining (MOVNE-NB).

zh-cn	利用博弈论谈判技术，在纳什议价的框架下协商虚拟网映射的合理解；
en-us	Firstly negotiating the virtual networkembedding problem in the framework of Nash bargaining by using game theory technology.

zh-cn	提出公平议价机制，避免参与人自私决策而导致议价失败。
en-us	Then a fairbargaining mechanism is put forward to avoid selfish decisions by players and lead to bargaining failures.

zh-cn	实验表明，MOVNE-NB算法不仅能产生一个帕累托有效解，且实现了请求接受率和节能的公平折中。
en-us	Experiments show that the MOVNE-NB algorithm can not only produce a Pareto efficient solution, but also achieve a fair tradeoff between request acceptance rate and energy saving.

zh-cn	针对现有兴趣点推荐的初始化和忽视评论信息语义上下文信息的问题，将深度学习融入推荐系统中已经成为兴趣点推荐研究的热点之一。
en-us	When modeling user preferences, the current researches of group recommendation ignore the problem of modeling initialization and the review information accompanied with rating information for recommender models, integrating deep learning into the recommendation system becomes a hotspot of Point-Of-Interest(POI) recommendation.

zh-cn	该文提出一种基于深度学习的混合兴趣点推荐模型(MFM-HNN)。
en-us	In this paper, a new POI recommendation model called Matrix Factorization Model integrated with Hybrid Neural Networks (MFM-HNN) is proposed.

zh-cn	该模型基于神经网络融合评论信息与用户签到信息来提高兴趣点推荐的性能。
en-us	The model improves the performance ofPOI recommendation by fusing review text and check-in information based on Neural Network (NN).

zh-cn	具体地，利用卷积神经网络学习评论信息的特征表示，利用降噪自动编码对用户签到信息进行初始化。
en-us	Specifically, the convolutional neural network is used to learn the feature representation of the review text and the check-in information is initialized by using the stacked denoising autoencoder.

zh-cn	进而，基于扩展的矩阵分解模型融合评论信息特征和用户签到信息的初始值进行兴趣点推荐。
en-us	Furthermore, the extended matrix factorization model is exploited to fuse the review information feature and the initial value of the check-in information for POI recommendation.

zh-cn	在真实签到数据集上进行实验，结果表明所提MFM-HNN模型相比其他先进的兴趣点推荐具有更好的推荐性能。
en-us	As is shown in the experimental results on real datasets, the proposed MFM-HNN achieves better recommendation performances than the other state-of-the-art POI recommendation algorithms.

zh-cn	针对复杂战场环境下无人机(UAV)蜂群的渗透侦察任务，考虑无人机间信息传输时能量消耗的不均匀性，影响侦察任务的高效实施，该文提出一种基于无线紫外光隐秘通信的侦察UAV蜂群分簇算法。
en-us	Focusing on the reconnaissance mission of Unmanned Aerial Vehicle (UAV) swarm under complex battlefield environment, the non-uniform energy consumption during the information transmission between UAVs affects the efficient implementation of the reconnaissance mission, thus a cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication is proposed.

zh-cn	该算法结合无线紫外光散射通信的优点，通过分簇拓扑管理机制对UAV蜂群进行能耗平衡。
en-us	Combined the advantages of wireless ultraviolet scattering communication, this algorithm uses cluster topology management mechanism to balance the energy consumption of UAV swarm.

zh-cn	仿真结果表明，与现有算法相比，所提算法能够有效均衡网络能量消耗，提高网络的传输效率，并且选取合适的数据包长度及节点密度可延长UAV蜂群的生存周期。
en-us	Simulation results show that the algorithm caneffectively balance the network energy consumption and improve the transmission efficiency of the networkwhen compared with the existing algorithm, and the lifetime of swarm can be extended when selecting theappropriate packet length and node density.

zh-cn	针对极化码译码串行输出造成较大译码时延的问题，该文提出一种基于预译码的最大似然简化连续消除译码算法。
en-us	To solve the long decoding latency caused by the serial nature of the decoding of polar codes, a pre-decoding based maximum-likelihood simplified successive-cancellation decoding algorithm is proposed.

zh-cn	首先对译码树节点存储的似然值进行符号提取并分组处理，得到符号向量组；
en-us	First, the signs of the likelihood values stored in the decoding tree nodes are extracted and grouped to obtain symbol vectors.

zh-cn	然后比较符号向量组与该节点的某些信息位的取值情况，发现向量组中储存的正负符号分布规律与该节点的中间信息位的取值具有一一对应的关系；
en-us	Then comparing the symbol vectors and the values of some information bits, the distribution rules are found that positive and negative values stored in the vectors are one-to-one corresponding to the value of middle information bits of the node.

zh-cn	在此基础上对组合码中间的1～2 bit进行预译码；
en-us	Based on the above analysis, one or two bits in the middle of theconstituent code are pre-decoded.

zh-cn	最后结合最大似然译码方法估计组合码中的剩余信息位，从而得到最终的译码结果。
en-us	Finally, the maximum likelihood decoding method is used to estimate the remaining information bits in the constituent code, and the final decoding results are obtained.

zh-cn	仿真结果表明：在不影响误码性能的情况下，所提算法与已有的算法相比可有效降低译码时延。
en-us	Simulation results show that the proposed algorithm can effectively reduce the decoding delay compared with the existing algorithms without affecting the error performance.

zh-cn	单脉冲雷达广泛用于导弹末制导以对飞机、舰船目标实施精确打击。
en-us	Monopulse radar is widely used in missile terminal guidance for precise attack onaircraft and ship targets.

zh-cn	针对单脉冲雷达抗干扰性强的特点，该文采用交叉眼对单脉冲雷达进行干扰，
en-us	In view of the strong anti-jamming capability of monopulse radar, the cross eye is used to interfere with monopulse radar.

zh-cn	在考虑交叉眼的反向天线结构下，基于雷达方程、单脉冲雷达测角原理，以比相单脉冲雷达为干扰对象，对隔离目标回波和考虑目标回波下的两点源反向交叉眼干扰进行建模，
en-us	Based on the radar equation and the principle of monopulse radar angle measurement, the retrodirective cross-eye interference of the isolated target and the two point source under the target echo are modeled.

zh-cn	基于线性拟合的分析方法得到了两点源反向交叉眼参数与单脉冲雷达指示角的一般性公式。
en-us	Based on the analysis method of linear fitting, the general formula of two source reverse cross eyeparameters and monopulse radar indicating angle are obtained.

zh-cn	并通过案例仿真探讨了干扰机功率、信号相位差、信号幅值比及目标回波相位等参数对单脉冲雷达角度欺骗效果的影响。
en-us	The influence of jammer power, signal phase difference, signal amplitude ratio and echo signal phase on the angle deception effect of monopulse radar is discussed through case simulation.

zh-cn	结果表明：干扰机发射的两路信号相位差越接近180°，幅值比越接近1，干扰机对单脉冲雷达角度欺骗效果越好；
en-us	The results show that: The phase difference of the two signals emitted bythe jammer is closer to 180° and the amplitude ratio is closer to 1, the better the angle deception effect of thejammer is to the monopulse radar;

zh-cn	在JSR(干信比)为10～25 dB之间时，随着干扰机功率的增大，相同干扰效果下干扰机参数容限越宽松；
en-us	with the increase of jammer power, the parameter tolerance of jammers ismore relaxed when JSR (10～25 dB) is increased;

zh-cn	受目标回波相位变化影响，两点源交叉眼干扰效果不稳定；数学模型与单脉冲雷达接收机仿真模型结果一致。
en-us	and due to the influence of target echo phase, the jamming effect of jammer is unstable; the mathematical model is consistent with the simulation model of monopulse radar receiver.

zh-cn	该文研究可为飞机、舰船搭载反向交叉眼干扰机设计提供参考。
en-us	This study can provide reference for the design of reverse cross eye jammers for aircraft and ships.

zh-cn	宽带雷达微动目标3维干涉测量可为目标运动几何参数估计提供重要信息。
en-us	Three dimensional interferometry of wide-band radar can provide crucial information for estimating the micro-motion and geometric parameters of targets.

zh-cn	该文针对宽带雷达斜视3维干涉测量微动目标参数估计，提出一种斜视校正干涉测量微动几何参数估计方法。
en-us	For estimation of the micro-motion parameters via three dimensional interferometry in the case of squint observing mode, an algorithm for micro-motion and geometric parameters based on squint calibration is proposed.

zh-cn	方法对L型天线阵列中各天线接收回波进行干涉测距测角，通过建立2元2次非线性方程和坐标变换实现斜视扭曲校正，得到目标散射中心3维运动轨迹，
en-us	The algorithm performs ranging and angle measuring foreach antenna receiving echo in an L formation array. Moreover, the squint distortion is calibrated and threedimensional trajectories of scattering centers are obtained via establishing two elements and quadratic nonlinearequations and coordinate transformation.

zh-cn	继而采用滤波和优化求解实现目标微动几何参数估计，有效提高了微动目标运动几何参数估计准确性和平滑稳健性。
en-us	In addition, smoothing filtering and optimization are used to retrieve micro-motion and geometry parameters. The effectiveness and robustness of the proposed algorithm is confirmed via extensive experiments.

zh-cn	随着数据中心网络流量的迅速增长，如何提高数据中心网络性能和服务质量成为了研究热点。
en-us	With the rapid growth of Data Center Network (DCN) traffic, how to improve the performance and service quality of data center network become a research hotspot.

zh-cn	然而现有的流量调度算法在网络负载加大时，一方面会导致网络带宽碎片化从而使得网络吞吐量降低，另一方面忽视了流量应用需求导致网络服务质量较差。
en-us	However, when the network load increases, the existing traffic scheduling algorithm on the one hand may cause bandwidth fragmentation results in the network throughput decrease, on the other hand, it neglects the traffic application requirements to lead to poorQoS.

zh-cn	为此，该文提出一种面向带宽碎片最小化和QoS保障的动态流量调度算法，
en-us	Therefore, a dynamic traffic scheduling algorithm for bandwidth fragmentation minimization and QoSguarantee is proposed.

zh-cn	算法综合考虑了带宽敏感的大流、时延与丢包敏感的小流的不同需求，
en-us	The algorithm takes into account the different requirements of the bandwidth-sensitivelarge flows, and delay sensitive and packet-loss sensitive small flows.

zh-cn	首先根据待调度流的源地址和目的地址建立最短路径集，
en-us	Firstly, the shortest path set is establishedaccording to the source address and destination address of the to-be-scheduled flow.

zh-cn	其次从中筛选出满足待调度流的带宽需求的所有路径，
en-us	Secondly, all the paths thatsatisfy the bandwidth requirement of the to-be-scheduled flow are selected.

zh-cn	然后根据路径剩余带宽信息和小流应用需求情况为每条路径建立权重函数，
en-us	Then, the weight function is established for each path according to the free bandwidth of the path and the application requirements of the small flow.

zh-cn	最后根据权重函数值利用轮盘赌算法选择转发路径。
en-us	Finally, the forwarding path is selected based on the weight function value by roulette algorithm.

zh-cn	实验仿真结果显示，与其它算法相比，所提算法降低了小流的丢包率和时延，同时在网络负载较大时提升了网络吞吐量。
en-us	The network simulation results show that when the network load increases, the proposed algorithm reduces the packet loss rate and delay of small flows, and improves the network throughput compared with other algorithms.

zh-cn	针对具有结构性噪声干扰的稀疏信号处理问题，该文提出一种基于贝叶斯理论的感知矩阵优化设计方法。
en-us	To solve sparse signal processing problem with structural noise interference, a method of sensing matrix optimization design based on sparse Bayesian theory is proposed.

zh-cn	结合具有加性干扰的稀疏信号模型，通过对感知矩阵进行能量约束，最小化信号的后验协方差矩阵的迹，实现感知矩阵的优化设计。
en-us	Combining the sparse signal model with additive interference, the design of the sensing matrix is realized by minimizing the trace of the posterior covariance matrix and the energy constraint of sensing matrix.

zh-cn	仿真不同信号稀疏度和重构算法时，感知矩阵优化对信号重构误差和重构时间的影响；分析信号先验信息存在偏差时，感知矩阵优化对重构效果的影响。
en-us	The effects of sensing matrix optimization on the reconstruction error and reconstruction time are simulated using difference sparse signal and reconstruction algorithms, and the effects of the sensing matrix optimization on the reconstruction effect are analyzed when there is a bias in the prior information.

zh-cn	仿真结果表明，优化后的感知矩阵能够更好地获取稀疏信号中的重要信息，信号重构精度的均方误差减小约15～25 dB，重构时间减少约40%。
en-us	The simulation results show that the optimized sensing matrix can obtain the important information in the sparse signal, the mean square error of the signal reconstruction accuracy is reduced by about 15～25 dB, and the reconstruction time is reduced by about 40%.

zh-cn	该文针对压缩感知多目标无源定位在无线定位环境中的字典失配问题，提出基于变分期望最大化算法的字典适配方法。
en-us	In order to solve the dictionary mismatch problem of Compressive Sensing (CS) based multi-target Device-Free Localization (DFL) under the wireless localization environments, a Variational Expectation Maximization (VEM) based dictionary refinement method is proposed.

zh-cn	该方法首先根据鞍面模型建立无源字典，并将与定位环境相关的字典参数作为可调参数。
en-us	Firstly, this method builds thedictionary based on the saddle surface model, and models the environment-related dictionary parameters astunable parameters.

zh-cn	然后，为目标位置向量建立两层的混合高斯先验模型以诱导其稀疏性。
en-us	Then, a two-layer hierarchical Gaussian prior model is imposed on the location vector toinduce its sparsity.

zh-cn	最后，利用变分期望最大化算法估计隐藏变量的后验分布以及优化字典环境参数，实现多目标位置估计和字典适配。
en-us	Finally, the VEM algorithm is adopted to estimate the posteriors of hidden variables and optimize the environment-related dictionary parameter, thus the estimation of target locations and dictionary refinement can be realized jointly.

zh-cn	仿真结果表明，相较于传统的压缩感知多目标无源定位方法，在变化的无线定位环境下，所提定位方法的性能优势尤为明显。
en-us	Compared with the conventional CS based multi-target DFL schemes, the simulation results demonstrate that the performance of the proposed algorithm is especially excellent in changing wireless localization environments.

zh-cn	FIR陷波滤波器具有线性相位、精度高、稳定性好等诸多优势，然而当陷波性能要求较高时，通常需要较高的阶数，导致FIR陷波滤波器硬件实现复杂度大大提高。
en-us	FIR notch filter has many advantages such as linear phase, high precision and good stability.However, when the notch performance is required to be high, a higher order is usually required, resulting inincreased greatly hardware complexity of the FIR notch filter.

zh-cn	该文基于稀疏FIR滤波器设计算法和共同子式消除的思想，提出一种低复杂度的FIR陷波滤波器设计方法。
en-us	Based on sparse FIR filter design algorithm andcommon subexpression elimination, a novel algorithm is proposed for the design of low complexity sparse FIRnotch filter.

zh-cn	该方法首先采用稀疏滤波器设计算法得到满足频域性能设计要求的FIR陷波原始滤波器系数，
en-us	First, a sparse FIR notch benchmark filter that fulfills frequency response specifications is obtainedfrom the sparse filter design algorithm.

zh-cn	然后对其进行CSD编码，并分析CSD编码量化系数集中所有的2项子式和孤子的灵敏度，
en-us	Then, each quantized filter coefficient is represented in CanonicalSigned Digit (CSD). The sensitivities of all weight-two subexpressions and isolated nonzero digits of thequantized coefficient set are analyzed.

zh-cn	最后根据灵敏度的大小依次选择合理的2项子式或孤子直接合成滤波器系数集。
en-us	Finally, the filter coefficient set with lower implementation cost isconstructed by iteratively admitting subexpressions and isolated nonzero digits according to their sensitivities.

zh-cn	仿真结果表明，新算法设计实现的FIR陷波滤波器比已有的低复杂度设计方法最多可减少51%的加法器，有效地降低了硬件实现复杂度，大大节省了硬件资源。
en-us	Simulation results show that the proposed algorithm can save about 51% of adder compared with other low complexity filter design algorithms, which reduces effectively the implementation complexity and saves greatly the hardware cost.

zh-cn	针对机载多输入多输出(MIMO)雷达杂波抑制问题，该文提出一种改进的基于知识辅助的空时自适应信号处理算法(KA-STAP)。
en-us	Focusing on the clutter suppression problem of the airborne Multiple Input Multiple Output (MIMO)radar, an improved method based on Knowledge-Aided Space-Time Adaptive signal Processing (KA-STAP)algorithm is proposed.

zh-cn	根据杂波在空时2维平面的先验分布离线构造杂波子空间，以此替代基于扁长椭球波函数(PSWF)估计的杂波子空间，避免了复杂运算。
en-us	The clutter subspace is constructed offline according to the prior distribution of the clutter in the space-time plane, to replace that of estimation based on the Prolate Spheroidal Wave Function(PSWF), so that complex operations are avoided.

zh-cn	仿真结果表明，所提方法不仅能减小运算量，还能获得更深的零陷以及更优的旁瓣性能。
en-us	Simulation results show that the proposed approach can notonly reduce the computational complexity, but can obtain deeper notch and better side-lobe performance.

zh-cn	针对滤波器组系统硬件实现时原型滤波器的有限字长效应问题，该文研究如何改善FIR原型滤波器由信号量化引起的舍入噪声，即降低舍入噪声增益，提出一种FIR滤波器优化结构。
en-us	For the problem of the finite word length effect of prototype filters in hardware implementation ofthe filter bank system, this paper studies how to improve the performance of roundoff noise caused by signal quantization for the FIR prototype filter, that is, to reduce the roundoff noise gain. An FIR filter optimization structure is proposed.

zh-cn	通过分析舍入噪声来源，利用多项式参数化方法对舍入噪声增益表达式进行推导。
en-us	By analyzing the source of roundoff noise, a polynomial parameterization method is usedto derive the roundoff noise gain expression.

zh-cn	仿真实例证明，在不同字长约束条件下所提结构滤波器的幅频相频响应与理想状态基本吻合；
en-us	The simulation example shows that the amplitude-frequency andphase-frequency response of the proposed structure filter are basically consistent with the ideal state underdifferent constraint of word length.

zh-cn	通过与现有算法对比，所提结构具有较小的舍入噪声增益。
en-us	Compared with the existing algorithms, the proposed structure has a smaller roundoff noise gain.

zh-cn	对于地杂波存在情况下的降水粒子分类问题，传统方法在不同的天气及环境条件下会产生较大分类误差。
en-us	For the problem of hydrometeor classification in the presence of ground clutter, traditional methods produce large classification errors under different weather and environmental conditions.

zh-cn	该文提出一种基于模糊神经网络(FNN)-模糊C均值聚类(FCM)算法的双偏振气象雷达降水粒子分类方法。
en-us	A new method for theclassification of Hydrometeor based on Fuzzy Neural Network-Fuzzy C-Means (FNN-FCM) is proposed.

zh-cn	该方法首先利用双偏振气象雷达在晴空模式下接收的地杂波数据训练FNN，自适应地计算地杂波各偏振参量隶属函数的参数，
en-us	Firstly,the FNN is trained by the clutter data received by the Dual-polarization weather radar in the clear sky mode.The parameters of the membership function of each polarization parameter of the clutter are calculatedadaptively.

zh-cn	然后利用训练得到的地杂波隶属函数对降水模式下的地杂波进行抑制，
en-us	Then the ground clutter in the rainfall mode is suppressed by the ground clutter membershipfunction obtained by the training.

zh-cn	最后采用模糊C均值聚类算法对地杂波抑制后的回波进行降水粒子分类。
en-us	Finally, FCM clustering algorithm is used to classify the Hydrometeor afterclutter suppression.

zh-cn	对实测数据的处理结果表明，该方法能够有效地抑制地杂波并获得较为精细的降水粒子分类结果。
en-us	The processing results of the measured data show that the proposed method can effectively suppress ground clutter and obtain finer hydrometeor classification results.

zh-cn	针对特显点选取易受噪声影响这一问题，该文提出一种基于全局图像最大对比度的逆合成孔径雷达(ISAR)方位定标算法，并在实现方位定标的同时完成距离空变相位补偿自聚焦。
en-us	Due to the selection of dominant scatterers is easy to be affected by noise, a novel Inverse SyntheticAperture Radar (ISAR) cross-range scaling algorithm based on image contrast maximization is proposed, whichcan realize the cross-range scaling while achieving the range spatial-variant phase autofocus.

zh-cn	该方法以图像对比度作为代价函数，利用BFGS算法实现代价函数的最大化高效求解，获得目标信号的距离空变调频率，进而计算目标有效转动角速度，实现方位定标和距离空变相位自聚焦。
en-us	With the image contrast as cost function, the cross-range chirp rate of received signal can be estimated accurately using Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Based on the estimated results, the cross-range scalingof ISAR image and precise phase autofocus can be implemented.

zh-cn	仿真和实测数据实验对比验证了该算法的有效性和稳健性。
en-us	Both simulated and real data experiments confirm the effectiveness and robustness of the proposed algorithm.

zh-cn	针对被动声呐对宽带干扰抑制的应用需求，该文提出一种利用少快拍数据的宽带干扰鲁棒性抑制算法。
en-us	For the requirement of broadband interference suppression for passive sonar, a robust broadband interference suppression algorithm using few snapshots is proposed.

zh-cn	算法基于宽带干扰的预估方位，得到带宽内多频点叠加的导向互谱密度矩阵，以此估计出信号子空间，并采用投影法对单位向量修正，再逆转换得到干扰导引向量估计。
en-us	Based on the estimated bearing of thebroadband interference, the algorithm obtains the steered cross-spectral density matrix through multi-frequencydata in the bandwidth and estimates the signal subspace, then uses the projection approach to correct the unitvector, and estimates the steering vector of interference through inversely transforming.

zh-cn	对所有待抑制的干扰重复上述步骤，得到干扰导引向量集，进而构造抑制矩阵。
en-us	Repeating above stepscan obtain the interference steering vector set, thereby constructing the suppression matrix.

zh-cn	对阵元域数据处理得到剔除掉干扰成分的阵元数据，再进行空间处理即可得到最终的空间谱。
en-us	The interference component of array data is eliminated by suppression matrix processing, and the final spatial spectrum can be obtained after spatial processing.

zh-cn	理论分析及仿真、海试数据处理表明，算法可采用少快拍，甚至单快拍的频域数据进行处理。在目标运动、环境状态快速变化等不适宜时间积分的环境下依然具有良好性能，同时对空间处理面临的各类失配具有鲁棒性。
en-us	The theoretical analysis, simulation and processing of sea trial data show that the proposed algorithm uses few, even single frequency domain snapshots processing, and still has good performance in environments where target motion, conditions rapid change and other conditions that time integration is unsuitable, at the same time, algorithm is robust for mismatches faced by space processing.

zh-cn	基于CFAR和核密度估计(KDE)的SAR传统舰船候选区域提取方法存在以下缺陷：
en-us	The traditional methods based on CFAR and Kernel Density Estimation (KDE) for SAR shipcandidate region extraction has the following defects:

zh-cn	CFAR虚警率依赖人工经验选择；CFAR仅对杂波分布建模，会对被检目标构成一定的漏检风险；
en-us	The choice of false alarm rate of CFAR depends on artificial experience; CFAR only models the sea clutter distribution, which poses a certain risk of missing detection to the target;

zh-cn	利用KDE进行强海杂波过滤时，需凭人工经验选择滤除阈值。
en-us	When KDE is used to filter strong sea clutter, the threshold must be selected by artificial experience.

zh-cn	这使得传统舰船候选区域提取方法无法适应多星多分辨率等复杂场景。
en-us	These defects make the traditional method unable to adapt to complex scene, such asmulti-satellite and multi-resolution.

zh-cn	该文提出一种面向多星多分辨率的SAR图像舰船候选区域提取算法，
en-us	A candidate region extraction method for multi-satellite and multi-resolution SAR ships is proposed.

zh-cn	针对CFAR算法的缺陷，提出采用均值二分法迭代逼近目标计算分割阈值，在克服CFAR缺陷的同时，计算效率比CFAR提高10倍以上；
en-us	In view of the defects of CFAR, an iterative method of mean dichotomy is proposed to approximate the target and calculate the segmentation threshold. The calculation efficiency of this method is more than 10 times higher than that of CFAR while overcoming the defects of CFAR;

zh-cn	针对KDE的缺陷，提出了区块KDE结合大阈值滤除强海杂波，再借助种子点生长算法重建目标。
en-us	In view of the defects of KDE, block KDE combined with large threshold is used to filter strong sea clutter, and then seedpoint growth algorithm is used to reconstruct target.

zh-cn	由于大阈值具有足够的阈量，使得算法可以适应更复杂的场景。
en-us	Because the large threshold has enough thresholds, the method can adapt to more complex scenarios.

zh-cn	实验表明所提方法具有不漏检、阈值自适应、计算效率高、虚警率低的优点，具备优秀的多星多分辨率SAR舰船候选区域提取能力。
en-us	Experiments show that the proposed method has the advantages of no missed detection, self-adaptive threshold, high computational efficiency, and low false alarm rate. It has excellent multi-satellite and multi-resolution SAR ship candidate region extraction capability.

zh-cn	随着网络功能虚拟化(NFV)技术的发展，虚拟网络功能(VNF)可以通过服务功能链(SFC)的形式部署在如虚拟机的通用平台中，为管理带来灵活性。
en-us	With the development of Network Function Virtualization (NFV), Virtual Network Functions(VNFs) can be deployed in a common platform such as virtual machines in the form of Service FunctionChaining (SFC), providing flexibility for management.

zh-cn	但是对于服务提供商来说，由于网络基础设施的复杂性和日益增长的服务需求，给VNF的部署带来了高昂的运营成本(OPEX)。
en-us	However for service providers, these come with high OPerational EXpenditure (OPEX), due to the complexity of the network infrastructure and the growing demand for services.

zh-cn	针对此问题，该文提出一种面向OPEX优化的策略，旨在最小化OPEX中的激活、能耗和传输成本，得到VNF部署和路由分配优化方案。
en-us	To solve this problem, a strategy for OPEX optimization is proposed, which aims to minimize the startup cost, energy consumption, transmission cost and obtain VNF deployment and routing allocation optimization scheme.

zh-cn	为此建立一种全新的混合整数线性规划(MILP)模型，并设计包括遗传算法(GA)在内的3种OPEX优化算法。
en-us	The VNF deployment problem as a new Mixed Integer Linear Programming(MILP) model is formulated, and three OPEX optimization algorithms are designed including GeneticAlgorithm (GA).

zh-cn	仿真实验评估在不同资源配给下MILP和3种算法的OPEX及其性能，其中GA算法在节点资源配比60%以上时可以得到近似于MILP模型的解决方案。
en-us	The OPEX of MILP model and optimization algorithms are compared under different resource allocation constraints. The calculation result shows that the GA can obtain the near-optimal solutionswhen node resource ratio is more than 60%.

zh-cn	当前行为识别方法在不同视角下的识别准确率较低，该文提出一种视角无关的时空关联深度视频行为识别方法。
en-us	Considering the low recognition accuracy of behavior recognition from different perspectives at present, this paper presents a perspective-independent method for depth videos.

zh-cn	首先，运用深度卷积神经网络的全连接层将不同视角下的人体姿态映射到与视角无关的高维空间，以构建空间域下深度行为视频的人体姿态模型(HPM)；
en-us	Firstly, the fully connectedlayer of depth Convolution Neural Network (CNN) is creatively used to map human posture in differentperspectives to high-dimensional space that is independent with perspective to achieve the Human PostureModeling (HPM) of deep-performance video in spatial domain.

zh-cn	其次，考虑视频序列帧之间的时空相关性，在每个神经元激活的时间序列中分段应用时间等级池化(RP)函数，实现对视频时间子序列的编码；
en-us	Secondly, considering temporal-spatial correlation between video sequence frames, the Rank Pooling (RP) function is applied to the series of each neuron activated time to encode the video time sub-sequence,

zh-cn	然后，将傅里叶时间金字塔(FTP)算法作用于每一个池化后的时间序列，并加以连接产生最终的时空特征表示；
en-us	and then the Fourier Time Pyramid (FTP) is used to each pooled time series to produce the final spatio-temporal feature representation.

zh-cn	最后，在不同数据集上，基于不同方法进行了行为识别分类测试。
en-us	Finally, differentmethods of behavior recognition classification are tested on several datasets.

zh-cn	实验结果表明，该文方法(HPM+RP+FTP)提高了不同视角下深度视频识别准确率，在UWA3DII数据集中，比现有最好方法高出18%。
en-us	Experimental results show that theproposed method improves the accuracy of depth video recognition in different perspectives. In the UWA3DIIdatasets, the proposed method is 18% higher than the most recent method.

zh-cn	此外，该文方法具有较好的泛化性能，在MSRDaily Activity3D数据集上得到82.5%的准确率。
en-us	The proposed method (HPM+RP+FTP) has a good generalization performance, achieving a 82.5% accuracy on dataset of MSR DailyActivity3D.

zh-cn	针对现有的虚拟网络重构算法对物理网络中产生的碎片资源考虑不够周到，导致其对在线虚拟网络映射算法的性能改善不够显著的问题，
en-us	The existing virtual network reconfiguration algorithms do not consider the fragment resources generated in the physical network, which results in the improvement of the performance of the online virtual network embedding algorithms is not obvious.

zh-cn	该文定义了一种网络资源碎片度度量方法，并提出一种碎片感知的安全虚拟网络重构算法。
en-us	To solve this problem, a definition of network resource fragmentation is given, and a Fragment-Aware Secure Virtual Network Reconfiguration (FA-SVNR) algorithm is proposed.

zh-cn	该算法通过周期性考虑物理网络中节点的碎片度，选择出待迁移虚拟节点集合；通过综合考虑物理网络的碎片度减小量和虚拟网络的映射开销减少量，选择出最佳的虚拟节点迁移方案。
en-us	In the process of reconfiguration, the virtual node set to be migrated is selected by considering the fragmentation of nodes in the physical network periodically, and the best virtual node migration scheme is selected by considering the reduction of the fragmentation of the physical network and the reduction of the embedding cost of the virtual network.

zh-cn	仿真结果表明，该算法的请求接受率和收益开销比均优于当前的重构算法，特别是在收益开销比方面的优势更加明显。
en-us	Simulation results show that the proposed algorithm has the higher acceptance ratio and revenue to cost ratio compared with the existing virtual network reconfiguration algorithm, especially in the metric of revenue to cost ratio.

zh-cn	该文针对地球同步轨道合成孔径雷达(GEOSAR)提出一种新的2维俯仰–滚动姿态导引方法，可有效解决传统2维偏航导引方法用于GEOSAR时大偏航角的问题，更适用于具有大功率、大天线和大转动惯量的GEOSAR卫星。
en-us	A new prompt 2-D attitude steering approach for zero Doppler centroid of GEOsynchronous SAR(GEOSAR) is proposed. Large yaw angle of GEOSAR in traditional 2-D yaw steering condition can be solvedby this method. It is suited to the large satellite such as GEOSAR. The GEOSAR can achieve broadsideimaging when this method is applied.

zh-cn	相较于传统导引方法，该方法将卫星机动角度和时间减小至1/10左右，可大幅降低GEOSAR工程实施难度。
en-us	Compared to the traditional attitude steering approach, the steering angle and time are just 1/10 of it, and the developing difficulty of GEOSAR becomes lower through this new method. This approach is propitious to GEOSAR.

zh-cn	该方法应用于不同轨道高度的SAR卫星时，均可实现残留多普勒中心值为0，具有普适性。
en-us	When it is employed to SAR satellites with differentaltitudes, the residual Doppler centroid is accurate zero in all the conditions.

zh-cn	此外，针对不同轨道高度SAR卫星，该文提出了姿态导引方法选择的参考依据。
en-us	Besides, an attitude selectionreference standard is illustrated for different altitude orbital satellites.

zh-cn	一致迭代硬阈值(CIHT)算法在处理音频截幅失真中具有较好的性能。但是，在截幅程度较大时音频截幅修复的性能会下降。因此，该文提出一种基于自适应门限的改进算法。
en-us	Audio clipping distortion can be solved by the Consistent Iterative Hard Thresholding (CIHT) algorithm, but the performance of restoration will decrease when the clipping degree is large, so, an algorithm based on adaptive threshold is proposed.

zh-cn	该算法自动估计音频信号截幅程度，根据估计的截幅程度信息，自适应调整算法中的截幅程度因子。
en-us	The method estimates automatically the clipping degree, and thefactor of the clipping degree is adjusted in the algorithm according to the degree of clipping.

zh-cn	与近年来提出的CIHT算法和一致字典学习算法(CDL)相比，该文所提算法能更好地重建音频信号，特别在音频信号截幅失真严重的情况。
en-us	Compared with the CIHT algorithm and the Consistent Dictionary Learning (CDL) algorithm, the performance of restoration by the proposed algorithm is much better than the other two, especially in the case of severe clipping distortion.

zh-cn	该算法的运算复杂度与CIHT相近，与CDL相比，拥有更快的运行速度，有利于实时实现。
en-us	Compared with CDL, the computational complexity of the proposed algorithm is low like CIHT, compared with CDL, it has faster processing speed, which is beneficial to the practicality of the algorithm.

zh-cn	针对在非协作通信以及低信噪比下组合二进制偏移载波(CBOC)信号伪码周期和组合码序列较难估计的问题，该文提出了2次谱算法与基于径向基函数(RBF)神经网络算法。
en-us	For the problems of the Composite Binary Offset Carrier (CBOC) signal pseudo code period and combination code sequence are difficult to estimate in a non-cooperative context, two blind methods are proposed based on power spectrum reprocessing and Radial Basis Function (RBF) neural networks.

zh-cn	对输入信号进行2次功率谱计算，可以得到CBOC信号的伪码周期。
en-us	It can get the CBOC pseudo code period through two power spectrum calculations.

zh-cn	在此基础上，首先对接收的1周期组合码序列进行重叠分段，
en-us	Firstly, the received one pseudo codeperiod is overlapped segmentation based on the estimated pseudo code period.

zh-cn	其次优化筛选出学习系数，对每段数据向量作为RBF神经网络的输入信号并进行有监督地调节，
en-us	Secondly, the learning coefficientis optimized selection and each segment of date vector as an input signal to the RBF neural networks tosupervised adjustment.

zh-cn	最后对每段数据向量多次输入并反复训练权值向量就可以恢复原组合码序列。
en-us	Finally, through the continuous input signal, it can restore the original combinationcode sequence according to the convergent weight vectors.

zh-cn	仿真结果表明，利用2次谱可以在低信噪比下估计出伪码周期；
en-us	Simulation results show that the pseudo code periodcan be estimated using the secondary power spectrum under low Signal-to-Noise Ratio (SNR).

zh-cn	在误码率低于1%的情况下，所提出的RBF神经网络相比于反向传播(BP)神经网络与Sanger神经网络，信噪比分别提高1 dB和3 dB，并且在同等条件下所需的数据组数较少。
en-us	Compared with the Back Propagation (BP) neural networks and the Sanger neural networks, the proposed RBF neural networks improve the SNR by 1 dB and 3 dB respectively and the number of data groups required is less through RBF neural networks under the same condition.