zh-cn	微带电路无源互调产生机制尚无定论并且缺乏可靠的理论预测方法，本文基于等效受控源模型，建立了基于介电非线性机制的微带线无源互调的解析计算模型，同时，通过对比测试聚四氟乙烯玻纤布介质微带线和空气介质微带线的三阶互调规律验证了介质非线性是微带电路无源互调的一种主要非线性来源，并提取了非线性参数。
en-us	To reveal the physical mechanism and establish the prediction model of the passive intermodulation (PIM) in the microstrip circuits, we deduce a closed form PIM model based on the dielectric nonlinearity through the dependent-source equivalence, and demonstrate that the dielectric nonlinearity is one of the major causes of PIM in microstrip circuits comparing the PIM phenomenon in PolyTetraFluoroEthylene (PTFE) fiberglass dielectric and air dielectric microstip lines. The nonlinear dielectric constant was derived as well.

zh-cn	实验结果显示聚四氟乙烯玻纤布介质微带线比空气介质微带线的传输互调高了约 20dB，反射互调高了约 15dB，表明介质非线性是聚四氟乙烯玻纤布介质微带线互调的主要来源。
en-us	The experiments show that the PIM levels of the PTFE fiberglass dielectric microstirp line are about 20dB and 15dB larger than that of the air dielectric microstirp line for forward PIM and reversePIM, respectively, which indicates that the dielectric nonlinearity is the main cause of PIM in the PTFE fiberglass based microstrip line.

zh-cn	同时，根据本文建立的微带线互调计算解析模型，提取聚四氟乙烯玻纤布介质基板的三阶非线性相对介电常数。
en-us	The third order nonlinear relative dielectric constant is deduced by the analytical PIM model.

zh-cn	本文研究方法可以进一步用于其它微带电路无源互调规律计算研究。
en-us	The model deduced in this paper can also be extended to study the PIM phenomenon in other microstrip circuits．

zh-cn	复杂场景中的运动目标检测是计算机视觉领域的重要问题，其检测准确度仍然是一大挑战。
en-us	Moving object detection in complex scenes is an important problem in computer vision domain, and the detection accuracy is still a great challenge．

zh-cn	本文提出并设计了一种用于复杂场景中运动目标检测的深度帧差卷积神经网络(Deep Difference Convolutional Neural Network，DFD-CNN)。
en-us	In this paper, we propose and design a deep frame difference convolution neural network (DFDCNN) for moving object detection in complex scenes．

zh-cn	DFDCNN 由 DifferenceNet 和 AppearanceNet 组成，不需要后处理就可以预测分割前景像素。
en-us	DFDCNN consists of DifferenceNet and Appearan-ceNet, which can predict and segment the foreground pixels simultaneously without post-processing．

zh-cn	DifferenceNet 具有孪生Encoder-Decoder 结构，用于学习两个连续帧之间的变化，从输入(t 帧和 t + 1 帧)中获取时序信息;AppearanceNet 用于从输入(t 帧)中提取空间信息，并与时序信息融合;
en-us	DifferenceNet has Sia-mese Encoder-Decoder structure, which is used to learn changes between two consecutive frames and to obtain temporal information from inputs, while AppearanceNet is used to extract spatial information from the input frame, and fuse the temporal information and spatial information by fusion of feature maps．

zh-cn	同时，通过多尺度特征图融合和逐步上采样来保留多尺度空间信息，以提高网络对小目标的敏感性。
en-us	Finally, multi-scale spatial information is retained through multi-scale feature map fusion and stepwise up-sampling to improve the sensitivity to small objects．

zh-cn	在公开标准数据集 CDnet2014 和 I2R 上的实验结果表明:DFDCNN 不仅在动态背景、光照变化和阴影存在的复杂场景中具有更好的检测性能，而且在小目标存在的场景中也具有较好的检测效果。
en-us	Experiments on two public standard datasets: CDnet2014 and I2R demonstrate that the proposed DFDCNN outperforms the classic algorithms significantly from both qualitative and quantitative aspects. The experimental results illustrate that the proposed DFDCNN shows much better detection performance in complex scenes where dynamic background, illumination variation and shadow exist, and there is improvement for scenes, in which small objects exist．

zh-cn	复杂网络中节点重要性辨识对分析网络结构和功能具有重要作用。
en-us	In complex networks, node importance identification plays an important role in analyzing the structure and function．

zh-cn	为了辨识节点重要性，分析节点自身和关联节点的作用，本文构建了一种基于重要度传输矩阵的节点重要性辨识模型。
en-us	In order to identify the node's importance and analyze the role of nodes themselves and associated nodes, we construct a node importance identification model based on importance transfer matrix．

zh-cn	首先，基于关联节点与节点之间的最优路径长度、最优路径数目和信息传播率定义了节点间的传输能力。
en-us	Firstly, the transmission capability between nodes is defined based on the optimal path length, the number of optimal paths and the information propagation rate between the associated nodes and the nodes．

zh-cn	其次，依据度值和传输能力构建重要度传输矩阵，综合节点局部重要性和全局属性指标评价节点的重要性。
en-us	Secondly, the node degree and transmission capacity are used to construct the importance transmission matrix, and the local importance and global attribute index of the node are integrated to evaluate the importance of the node．

zh-cn	最后，对“ARPA”网络和四个真实网络进行破坏性仿真分析，结果本文方法表明对网络造成更大的破坏，证明了该方法的有效性和可靠性。
en-us	Finally, destructive simulation analysis on the "ARPA" network and four real networks show that this method causes more damage to the network, which proves the method's effectiveness and reliability．

zh-cn	GNSS(Global Navigation Satellite System)欺骗干扰装备，是“导航战”重要组成，对其效能的有效评估决定了目标任务的成功。
en-us	GNSS (Global Navigation Satellite System) spoofing equipment is the important components of "Navigation war". The valid evaluation of its effectiveness determines the success of the target task．

zh-cn	但目前存在影响因素的模糊性和不确定性大、因素间影响关系的传递性弱、评估方法适用性差、评估效率低等难点问题。
en-us	However, there are still many difficult issues, such as the great ambiguity and uncertainty of influencing factors, the weak transitivity of influencing relations between factors, the poor applicability of assessment methods and the low evaluation efficiency．

zh-cn	针对这些问题，本文提出一种基于灰色关联分析和模糊综合评判的评估方法。
en-us	To deal with these problems, an evaluation method based on grey relational analysis and fuzzy comprehensive assessment is proposed．

zh-cn	在指标体系搭建完成的基础上，利用层次分析法确定指标权重，并通过纵向计算灰色关联度，得到最优方案;
en-us	Firstly, the optimal scheme is obtained by calculating grey relational degree longitudinally.

zh-cn	再通过模糊综合评判，得到最优方案的评估结果;
en-us	Secondly, the evaluation results of the optimal scheme are obtained by using fuzzy comprehensive assessment．

zh-cn	最后通过横向计算灰色关联度，来选取与评估结果关联度高的指标。
en-us	Finally, the indexes highly correlated with the evaluation results are selected based on calculating gray relational degree horizontally．

zh-cn	实验证明，本文提出的方法解决了评估存在的难点问题，达到有效评估的目的。
en-us	The test results show that these difficult problems are solved by the method proposed in this paper．

zh-cn	宽带压缩频谱检测存在信号稀疏度未知和次用户检测开销过大的问题。
en-us	Wideband compressed spectrum sensing has the problems of unknown signal sparsity and high overhead of secondary users sensing．

zh-cn	因此，本文提出一种高效的协作宽带压缩频谱检测方案。
en-us	Therefore, this paper proposed an efficient cooperative scheme of wideband compressed spectrum sensing．

zh-cn	首先，推导了一种基于学习的稀疏度自适应预测模型。
en-us	Firstly, based on learning, a sparsity adaptive learning prediction model was derived．

zh-cn	其次，设计了一种宽带频谱筛选算法。
en-us	Secondly, a wideband spectrum filtering algorithm is designed．

zh-cn	最后，提出一种协作宽带压缩频谱检测方案。
en-us	Finally, a cooperative wideband compressed spectrum sensing scheme was proposed．

zh-cn	仿真结果表明，自适应预测模型的拟合效果优于现有预测模型，并且所提检测方案也有效地降低了次用户采样率和频谱重构时延。
en-us	The simulation results show that the fitting effect of the adaptive prediction model are better than the existing prediction model, and the proposed sensing scheme effectively reduces the sampling rate and spectrum reconstruction delay of secondary users．

zh-cn	针对小站信号带宽大于主站信号的新非对称成对载波多址(Asymmetric Paired Carrier Multiple Access，APCMA)信号背景，在一种低复杂度的盲抵消结构基础上，提出基于互补对称滤波器的盲分离算法。
en-us	For the new asymmetric paired carrier multiple access (APCMA) signal with the station signal bandwidth greater than the main station signal, on the basis of a low-complexity blind separation structure, an efficient blind separation algorithm based on the complementary symmetric filters is proposed．

zh-cn	该算法采用互补对称滤波器从时频域上将混合信号分解为同时含主站信号与小站信号，以及只含小站信号的两路分量信号，在保证采样率不变的情况下对含主站信号的信号分量做进一步的信号分离，通过两路分量信号的同步处理确保了分离之后的两路信号分量中小站信号的可加性和完整性。
en-us	By constructing the complementary symmetric filtersth, the algorithm decomposes the mixed signal into two component signals in the time-frequency domain, one containing both the main station signal and the station signal, and the other containing only the station signal. Further, it separates the signal component containing the main station signal in the case of the same sample rate. Then, it synchronizes the two signal components under the same parameters, which ensures the additivity and integrity of the station signals in the two signal components after the separation．

zh-cn	仿真结果表明，与原低复杂度算法相比，本文算法有效地提升了混合信号的分离性能。
en-us	The experimental results show that compared with the original low-complexity separation algorithm, the proposed algorithm effectively improves the separation performance of the mixed signal．

zh-cn	此外，本文提出的具有信息不变性的互补对称滤波器有较广泛的应用前景，可用于宽带多信号抵消、信道估计以及隐蔽传输下的扩频检测等问题中。
en-us	In addition, the complementary symmetric filters with information invariance proposed in this paper have a wide application prospect, which can be used in broadband multi-signal cancellation, channel estimation and spread spectrum detection under covert transmission.

zh-cn	射频能量捕获传感网(RF Energy Harvesting Wireless Sensor Network，RFEH-WSN)由专用射频能量源设备(Energy Transmitter，ET)和具有射频能量捕获功能的传感器节点(Energy Harvesting Recevier，简称 EHR)组成。
en-us	RF energy harvesting wireless sensor network (RFEH-WSN) consists of dedicated energy transmitter (ET) and sensor nodes with RF energy harvesting technology.

zh-cn	该网络解决了传感器网络中电池不易更换与节点能量容易耗尽的问题，使得 RFEH-WSN 应用前景更加广阔。
en-us	The RFEH-WSN solves the problems of the battery replacement and node energy depletion, which makes it have more advantages in the future application．

zh-cn	RFEH-WSN应用中一个值得研究的问题是如何布置 ET 的充电位置，降低 ET 能耗且提高覆盖率。
en-us	How to place ET effectively with minimum energy consumption and maximize overall charging utility is one fundamental issue in RFEH-WSN．

zh-cn	已有的工作主要考虑 ET 布置中单目标优化问题，如最小充电时间、最小功耗、最大覆盖率等。
en-us	In this paper, a new multiple object model is proposed, and the optimization aims of the model are to minimize the charging time and to maximize the coverage．

zh-cn	本文以时间最小和覆盖率最大为目标建立多目标优化模型，并提出利用粒子群算法(Particle Swarm Optimization，PSO)求解多目标函数(Multiple Object Program，MOP)的低复杂度近似算法，获得了最优 Pareto 解集。
en-us	An approximate with low complex algorithm is proposed to solve this multi-object function byPSO optimizer, and from it an optimum pareto solution set is obtained．

zh-cn	仿真结果表明，多目标优化可以满足不同情况的需求，提高充电效用。
en-us	The simulation results show that the new methods can  improve the charging efficiency obviously and satisfy the different demands for lots of application environments．

zh-cn	移相器是相控阵雷达的核心器件，随着工作频率的逐步提升，传统移相器的插入损耗和相位控制误差恶化严重，导致额外增加的功耗及波束性能变差。
en-us	Phase shifter is the core device of phased array radar (PAR). With the gradual increase of the working frequency, the insertion loss and phase control error of the traditional phase shifter get worsen seriously, resulting in additional power consumption and poor beam performance.

zh-cn	本文基于电荷泵锁相环(Charge Pump Phase-Locked Loop，CP-PLL)开展了高精度数字移相方法的研究。
en-us	In this paper, a high-precision digital phase shifting method based on CP-PLL is investigated．

zh-cn	在分析 CP-PLL 相位数学模型与移相机理的基础上，提出了通过数控电流源的方法实现对输出信号相位的精确控制，建立电路模型开展仿真分析，并设计了实验电路模块，通过仿真和实测的对比验证了该方法的有效性和精确性，实现了移相步进优于 1°，移相精度优于移相值的 10% 。
en-us	Based on the analysis of CP-PLL mathematical model and phase-shifting mechanism, the method of numerical control current source is proposed to realize the accurate control of the output signal phase, the circuit model is established to carry out simulation analysis，and the experimental circuit module is designed. The effectiveness and accuracy of the method are verified by the comparison of simulation and measurement. The results show that the phase-shifting step is better than 1°, and the accuracy is better than 10% of the phase-shifting value．

zh-cn	该 CP-PLL 可通过作为本振信号或直接产生发射信号应用于相控阵雷达系统中，具有精度高、功耗低、易集成等特点，从而取代移相器，有效提升相控阵雷达的性能。
en-us	The CP-PLL can be used in PAR as a local oscillator or as a direct transmitter signal. It has the characteristics of high precision, low power consumption and easy integration, which can replace the phase shifter and effectively improve the performance of PAR．

zh-cn	为了解决符号执行中路径爆炸、新路径发现率低等问题，提出了针对文件格式数据块约束的符号执行分析方法(FFCBSE，File Format Constraint Based Symbolic Execution)优化框架。
en-us	To solve problems like path explosion, low rate of new path's finding in the software testing, a new vulnerability discovering architecture based on file format constraint (FFCBSE) was proposed.

zh-cn	文件格式信息的缺失会影响符号执行的效率以及测试用例生成，该方法通过分析程序代码自动分析程序读取的格式文件数据块之间的依赖关系并建立相关约束，随后使用这些约束引导符号执行更关注于核心功能代码区域。
en-us	FFCBSE analyzed program source code to extract file structure constraints automatically． FFCBSE then used these structure constraints to guide symbolic execution to focus on core functions．

zh-cn	在 KLEE 中实现了上述优化框架，并对 Tcpdump、Readelf、Elfdump、File、Zlib 等 7 个常用文件处理程序做了检测。
en-us	This architecture was implemented in KLEE, and it was evaluated on seven file processing applications, such as Tcpdump, Readelf, File, Zlib.

zh-cn	和 KLEE 以及 DASE 相比，FFCBSE 发现了 13 个之前未知的缺陷，在指令覆盖率和分支覆盖率有 10% ～ 225% 不同程度的提升。
en-us	Compare with KLEE and DASE, FFCBSE detects thirteen previously unknown bugs. In addition, FFCBSE increases instruction line coverage/branch coverage by 10% ～ 225% ．

zh-cn	为了提高多传感器系统的目标跟踪精度，且解决传感器数量多导致的耗时长的问题，提出了一种复合量测 IMM-EKF(Interacting Multiple Model-Extended Kalman Filter)融合算法。
en-us	In order to improve the target tracking accuracy of multi-sensor system as well as solve the problem of long processing time due to the multiple sensors, a composite measurement IMM-EKF (Interacting Multiple Model-Extended Kal-man Filter) data fusion algorithm is proposed．

zh-cn	该算法根据各传感器的测量精度，对各传感器关于同一目标的量测点迹进行加权融合，再将融合后的点迹进行 IMM-EKF 滤波处理。
en-us	According to the measurement accuracy of each sensor, the algorithm weights and fuses the measurement of all sensors with respect to the same target, and performs the IMM-EKF filtering process on the merged measurement．

zh-cn	通过仿真及实验数据处理，将复合量测 IMM-EKF 融合算法与加权 IMM-EKF 融合算法、扩维 IMM-EKF 融合算法进行了对比分析，比较了三种算法的跟踪精度及耗时长度。
en-us	The composite measurement IMM-EKF algorithm is compared with the weighted IMM-EKF algorithm and the extended dimension IMM-EKF algorithm in tracking accuracy and processing time through simulation and experiment data processing.

zh-cn	结果表明，扩维 IMM-EKF 融合算法具有最优的跟踪精度，复合量测 IMM-EKF 融合算实时性最好。
en-us	The result shows that the extended dimension IMM-EKF algorithm has the best tracking accuracy while the composite measurement IMM-EKF algorithm needs the shortest processing time．

zh-cn	最后分别给出了三种算法的适用场合。
en-us	The adapted occasions of the three fusion algorithms are given in the end．

zh-cn	数据存储是无线传感器网络中数据管理的基础操作。
en-us	Data storage is a basic operation of data management in wireless sensor networks．

zh-cn	在移动低占空比传感网中，由于节点的移动性，每个节点需要频繁更新邻居节点集合，使得节点能量消耗过大。
en-us	In mobile low-duty-cyclesensor networks, due to the mobility of the nodes, each node needs to frequently update the set of its neighbor nodes, which making energy consumption of the node too large．

zh-cn	同时，节点大部分时间处于睡眠状态，仅在少部分时间内苏醒工作，造成数据备份的通信延迟过大。
en-us	At the same time, each node is sleeping in most of its time, and wakes upto work in only a small portion of time． This sleeping /working mode results in excessive communication delay for data back-up．

zh-cn	提出一种快速的低能耗数据保存机制。
en-us	A fast data storage mechanism with low energy consumption is proposed．

zh-cn	首先，源节点基于连续时间序列对感知数据进行分段线性拟合压缩;
en-us	First, each source node performs piecewise lin-ear fitting compression on its sensing data based on continuous time series．

zh-cn	接着，节点根据预估故障概率和存储空间大小，计算出合理的压缩数据备份数量。
en-us	Then, the node calculates a reasonable number of compressed data backups based on an estimated failure probability and the size of its storage space．

zh-cn	在此基础上，设计一种动态自适应传输协议。
en-us	On this basis, a dynamic adaptive transmission protocol is designed．

zh-cn	实验仿真表明，与已有存储算法比较，该机制具有更低的传输能耗和通信延迟。
en-us	Experimental simulations show that this mechanism has lower energy consumption of transmission and lower communication delay compared with existing storage algorithms．

zh-cn	多标记学习用于处理一个示例同时与多个类别标记相关的问题。
en-us	Multi-label learning deals with the problem where each instance has a set of class labels simultaneously．

zh-cn	在多标记学习中，标记相关性能够显著提升学习算法的性能。
en-us	In multi-label learning, label correlations have shown promising strength in improving multi-label learning．

zh-cn	大多数现有的多标记学习算法在利用标记的相关性时，要么只使用被所有示例所共享的全局标记相关性，要么就使用局部标记相关性，它们认为不同簇中的示例应该存在不同的标记相关性。
en-us	Most of the existing multi-label learning algorithms exploited either global label correlations shared among all instances, or local label correlations varied across different clusters of instances．

zh-cn	本文中，我们提出了一种同时利用全局和局部标记相关性的多标记学习算法，从而为学习进程提供更全面的标记信息。
en-us	In this study, we propose a novel multi-label learning method by simultaneously taking into account both the global and local label correlations to capture more comprehensive label information during thelearning process．

zh-cn	在计算全局和局部标记相关性时，我们使用了余弦相似性来获取不同标记之间的正相关性和负相关性，这样有助于我们进一步实现更可靠的多标记学习。
en-us	To calculating global and local label correlations, we utilize cosine similarity to obtain positive and negativec orrelations between different labels, which helps us to further achieve more reliable multi-label learning．

zh-cn	我们在多种类型的数据集上进行了广泛的对比实验来验证所提算法的有效性。
en-us	We implemented extensive experimental comparisons based on various data sets to validate the effectiveness of our algorithm．

zh-cn	实验结果表明，该算法显著优于大多数对比算法，展现出其在多标记学习中的突出性能。
en-us	The experimental results show that the proposed algorithm significantly outperforms most of the state-of-the art approaches, demonstrating its prominent performance for multi-label learning．

zh-cn	网络表示学习是将网络中的节点映射到低维空间形成低维稠密特征向量的分布式学习方法。
en-us	Network representation learning is a distributed learning method that maps nodes in a network to low-dimensional spaces to form low-dimensional dense vectors．

zh-cn	本文在现有网络表示学习研究的基础上，提出一种基于霍克斯点过程的动态网络表示学习方法。该方法基于霍克斯点过程有效结合了网络历史连边信息和网络演化中的三元闭包特性对当前节点产生连边的影响，解决了现有方法难以有效捕捉网络历史信息和演化特性的问题。
en-us	Based on the existing network representation learning research, this paper proposed a dynamic network representation learning method based on Hawkes point process, which effectively combines the network historical edges and the ternary closure characteristics in the network evolution to generate the new edges of the current nodes． It solves the problem that the existing methods are difficult to effectively capture the network historical information and evolution characteristics of dynamic networks．

zh-cn	在多种数据集的实验结果表明，本文提出的方法较其它方法在节点分类、链路预测和可视化等实验中的性能均有较大的提高，实验中的 F1 分数值和 AUC 值分别提高了 3. 72% ～6. 41% 和 2. 22% ～4. 69% 。
en-us	Extensive experiments demonstrated that the embeddings learned from the proposed MHNE (Multivariate Hawkes process Network Embedding) model can achieve better performance than the state-of-the-art methods in downstream tasks, such as node classification and link prediction. The F1 score andAUC value in the experiments increased by 3. 72% ～ 6. 41% and 2. 22% ～ 4. 69% , respectively．

zh-cn	针对海面通信受大气噪声干扰严重的问题，该文提出一种基于 DNN(Deep Neural Network)神经网络的单样本极化滤波器预测模型，研究其对海面短波地波通信链路中的大气噪声的抑制作用。
en-us	Aiming at the problem that the sea surface communication is seriously disturbed by atmospheric noise, this paper proposes a single sample polarization filter prediction model based on deep neural network, and studies its suppression effect on atmospheric noise in the sea surface short ground wave communication link．

zh-cn	与传统算法不同，DNN 神经网络直接从大量输入数据获取信息间的非线性特性，并以此更新网络参数，通过对模型参数调整使得模型达到最优状态。
en-us	DNN neural network directly obtainsthe non-linear characteristics between information from a large amount of input data, which uses it to update the network parameters, and adjusts the model parameters to make the model reach the optimal state．

zh-cn	选择三种脉冲成分比例不同的大气噪声进行仿真，结果表明传统算法与 DNN 网络模型在低信噪比约 0 ～ 15dB 时对信号的误码率影响基本一致，在高信噪比约超过 15dB，误码率达到 10－4时，深度学习模型比传统算法所需信噪比显著提高约5dB。
en-us	Three types of atmospheric noise with different proportions of pulse components are selected for simulation. The results show that the traditional algorithm and the DNN network model have basically the same effect on the signal error rate when the signal-to-noise ratio is about 0 ～ 15dB．When the bit error rate reaches 10－ 4, the deep learning model improves the signal-to-noise ratio by about 5dB compared with the traditional algorithm.

zh-cn	实验结果验证了神经网络在单样本极化滤波器预测方向的可行性与准确性，具有很好的实用参考价值。
en-us	The experimental results verify the feasibility and accuracy of the neural network in predicting the direction of the single-sample polarization filter coefficients, which has good practical value．

zh-cn	针对求解机器人路径规划问题，本文提出了一种多策略集成的樽海鞘群算法。
en-us	A multi-strategy ensemble salp swarm algorithm is proposed for solving problem of robot path planning.

zh-cn	在该算法中，提出了新的自适应领导者结构，以平衡算法的探索和开发能力;
en-us	In the algorithm, a new adaptive leader structure is proposed to balance the exploration and exploitation ability of the algorithm．

zh-cn	引入可以提高 Lyapunov 指数的 Logistic-Cubic 级联混沌映射作为食物源的扰动算子，来避免算法陷入局部最优;
en-us	The chaotic map of Logistic-Cubic cascade which can improve the Lyapunov exponent of the cascade chaotic system is introduced as the disturbance operator of the food source to avoid the algorithm falling into the local optimum.

zh-cn	采用基于自适应参数的分散觅食策略使部分追随者探索有前景的区域。
en-us	A disperse foraging strategy based on adaptive parameters is adopted to force a part of followers to explore promising areas．

zh-cn	在 CEC 2014 测试集的多种函数上，本文算法与 3 种改进的樽海鞘群算法和 5 种先进的群智能算法进行比较，结果表明本文算法综合优化性能更好。
en-us	The algorithmin this paper is compared with three improved SSA algorithms and five state-of-the-art swarm intelligence algorithms on IEEE CEC 2014 functions. The results show that the comprehensive optimization performance of the algorithm in this paperis better．

zh-cn	本文算法 2 将其用于求解机器人路径规划问题，其中用三次样条插值对路径进行平滑。
en-us	The proposed algorithm is applied to solve the robot path planning problem, in which the path is smoothed by cubicsp line interpolation．

zh-cn	在障碍是 8，9，13 的环境下分别进行仿真实验，仿真结果表明，本文算法在给定的仿真场景下与给定的对比算法相比获得了最好的结果。
en-us	Simulation experiments are implemented on computer in the environments where the obstacles are 8, 9, 13, respectively. The simulation results demonstrate that the proposed algorithm can achieve the best results compared with the given contrast algorithms in given simulation scenarios．

zh-cn	研究分数阶多混沌系统滑模同步两种方法的比较。
en-us	Two methods contrast of sliding mode synchronization of fractional-order nonlinear systems were studied in the paper．

zh-cn	分别设计了分数阶滑模面和非奇异终端滑模面，并证明了其稳定性。
en-us	We proposed fractional-order sliding surface and nonsingular terminal sliding surface and prove its stability．

zh-cn	基于自适应方法设计了控制器和适应规则，得到分数阶多混沌系统取得滑模同步的两个充分条件。
en-us	The controllers and adaptive rules are derived based self-adaptive sliding mode methods． And the sufficient conditions were arrived for fractional-order Multy-Chaotic systems getting self-adaptive sliding mode synchronization．

zh-cn	并用数值仿真对结论进行了验证。
en-us	A numerical simulation demonstrate the correctness of the conclusion．

zh-cn	针对强散射体微波成像困难问题，本文提出了一种对比源框架下的基于拉普拉斯先验的多任务贝叶斯压缩感知方法，实现了稀疏强散射体的微波成像。
en-us	Aiming at the difficulty of microwave imaging of strong scatterers, a multi-task Bayesian compressed sensing method based on Laplacian priori is proposed, which realizes microwave imaging of sparse strong scatterers．

zh-cn	在对比源框架下，基于“数据”积分方程并对成像区域网格离散建立稀疏感知模型，前向问题采用矩量法数值模拟;
en-us	In the framework of contrast sources, sparse sensing model is established based on the "data" integral equation and the mesh discretization in the imaging region． The forward problem is simulated by the moment method ;

zh-cn	构造基于拉普拉斯先验的贝叶斯压缩感知分层模型;
en-us	a Bayesian compressed sensing hierarchical model based on Laplacian priori is constructed;

zh-cn	在多入射波情况下，利用多任务贝叶斯压缩感知方法对对比源进行优化求解;
en-us	and in the case of multi-incident waves, multi-task Bayesian compressed sensing method is used to optimize the contrast source．

zh-cn	最后利用“状态方程”实现了目标函数的重构。
en-us	Finally, the objective function is reconstructed by using the "state equation"．

zh-cn	本文在考虑噪声情况下，通过对多像素单目标、不均匀目标、多目标的微波成像数值模拟，并与共轭梯度方法、一阶 Born 近似框架下的多任务贝叶斯压缩感知方法的重构结果比较，验证了本文方法的有效性和鲁棒性。
en-us	Considering the influence of noise, through the numerical simulation of multi-pixel single target, non-uniform single target and multi-target microwave imaging, and compared with the reconstructed results of conjugate gradient method and multi-task Bayesian compressed sensing method in the first-order Born approximation framework, which verifies the effectiveness and robustness of the proposed algorithm．

zh-cn	为了提高大功率磁控管的输出功率，延长其使用寿命，采用难熔稀土氧化钆和过渡金属氧化铪制备大功率磁控管用新型直热式稀土铪酸钆陶瓷阴极，并对该阴极的热发射特性和寿命特性等进行了测试，热发射测试结果显示该阴极在 1300℃ br 即可提供 0. 1A/cm2发射电流密度，1600℃ br 下可提供超过 1. 93A/cm2的发射电流密度。
en-us	In order to enhance the output power, prolong the lifetime of the high power magnetron，a method of refractory rare-earth oxide Gd2O3 doped transition metal oxide HfO2 was used to prepare direct-heated rare-earth Gd2Hf2O7 ce-ramic cathode. The thermionic emission and life characteristics of the Gd2Hf2O7 cathode had been measured. The results show that the cathode can provide 0. 1A /cm2 current density for the space charge limitation at 1300℃ br, more than 1. 93A /cm2 at 1600℃ br under 300V anode voltage．

zh-cn	寿命实验结果显示，该阴极在 1500℃ br，直流负载为 0. 5A/cm2的条件下，寿命已经超过 4000h。
en-us	The lifetime for the cathode is more than 4000 h with an initial load of 0. 5A /cm2 at 1500℃ br．

zh-cn	最后，利用 X 射线衍射仪、扫描电镜、能谱分析仪、氩离子深度刻蚀俄歇电镜等设备分别对该阴极活性物质的分子结构，阴极表面微观形貌、元素成分及含量等进行了分析。
en-us	Finally, the molecular structure, surface microstructure, element composition and content of the Gd2Hf2O7 ceramic cathode had been analyzed by the XＲD, SEM, EDS, AES (equipped with argon ion etching in-depth analysis) respectively．

zh-cn	结果表明，高温烧结合成了单一的铪酸钆物相，烧结过程中当一种 Gd3 +价稀土氧化钆掺入Hf4 +价的过渡金属氧化铪时，会发生离子置换固溶，为了保持铪酸钆晶格的电中性，晶格中就会产生一个氧空位。
en-us	The analysis results show that the single Gd2Hf2O7 phase has formed in the high sintering temperature. When the Gd3 +valences Gd2O3 doped the Hf4 +valences HfO2, the substitutional solid solution will be formed. In order to maintain the electrical neutrality of the Gd2Hf2O7 lattice, an oxygen vacancy will be generated in the lattice．

zh-cn	当阴极在激活、老练、热发射测试时，会加速氧空位的生成，产生的氧空位越多，阴极表面导电性就会越好，这间接降低了逸出功，从而提高了阴极的热发射能力。
en-us	During the cathode acti-vating, aging, and thermally testing, the oxygen vacancy will be generated fast. The more oxygen vacancies are obtained, the better the conductivity of the cathode surface has. Besides，the work function of the cathode can also be reduced due to the improvement of the electro-conductivity that enhances the thermionic emission capability of the cathode．

zh-cn	采用 40nm CMOS 工艺设计了一款在 250MS/s 采样率下具有 1. 8Vpp 满摆幅和低谐波失真性能的流水线 ADC (Analog-to-Digital Converter)。
en-us	This paper presents a 250MS /s pipelined ADC with 1. 8Vpp full scale and low harmonic distortion imple-mented in 40nm CMOS.

zh-cn	针对传统源跟随器结构的输入缓冲器在大摆幅下驱动大采样电容时线性度恶化的问题，采用了改进型电流注入技术和漏端电压自举技术。
en-us	To reduce the large distortion of the conventional source follower when it drives a large sampling capacitor at a large swing, an improved current injection technique and a drain voltage boots trapping technique were employed．

zh-cn	ADC 中实现采样和电荷转移功能的开关采用薄栅器件设计，其工作电压由片上 LDO(Low Dropout Ｒegulator)提供，在降低开关寄生和电荷注入的同时保障了器件的可靠性。
en-us	Switches used for sampling and charge transfer in the ADC were implemented with thin-oxide devices to reduce the parasitic capacitance and charge injection. Moreover, on-chip LDOs were applied to provide safe supply voltages for these switches to protect thin-oxide devices from reliability problems．

zh-cn	测试结果表明，对于 10. 1MHz 单音输入，该 ADC 在 － 1dBFS 下的信噪失真比、无杂散动态范围和总谐波失真分别为68. 3dB、76. 4dBc、－ 75. 1dBc，在 － 1. 57dBFS 下的信噪失真比、无杂散动态范围和总谐波失真分别达 68. 3dB、80. 1dBc、－ 78. 6dBc。
en-us	Test results show that with a 10. 1MHz input, the ADC achieves the signal-to-noise and distortion (SNDＲ) of 68. 3dB, the spurious free dynamic range (SFDＲ)of 76. 4dBc and the total harmonic distortion (THD) of － 75. 1dBc at － 1dBFS, and it achieves 68. 3dB SNDＲ, 80. 1dBc SFDＲ and － 78. 6dBcTHD at － 1. 57dBFS．

zh-cn	作为一个开源项目托管平台，GitHub 以多开发者协同参与进行开源项目的开发，开发者作为 GitHub 的核心元素，保证了整个系统的活跃性，然而，很多新项目在短时间内无法找到合适的协同开发者而被拖延开发周期。
en-us	As an open source project hosting platform, GitHub participates in the development of open source projects with multi-developers. As the core element of GitHub, developers ensure the activity of the whole system. However, many new projects can not find suitable collaborative developers in a short time and the development cycle gets delayed.

zh-cn	针对这个问题，本文提出了一种基于 Word2Vec 的 CNN-LSTM 开发者项目推荐模型，该模型以 Word2Vec 训练开发者访问项目的序列，并将项目进行向量化表示，结合 CNN-LSTM 模型计算项目相似度并为开发者推荐合适的项目序列。
en-us	To solve this problem, this paper proposes a CNN-LSTM developer project recommendation model based on Word2Vec, which trains developers to access the project sequence by Word2Vec, and vectorizes the project, calculates the project similarity with CNN-LSTM model, and recommends the appropriate project sequence for developers.

zh-cn	通过提取 GitHub 中 62，031 个开发者在 2015 全年的项目访问数据进行项目预测和相似项目发现实验，实验结果表明，该模型推荐效果较佳，并且可以帮助开发者发现感兴趣的相似项目。
en-us	Through the project prediction and similar project discovery experiments based on 62，031 developers' project access data in GitHub in 2015, the experimental results show that the model has better recommendation effect and can help developers find similar projects of interest．

zh-cn	低密度奇偶校验(Low Density Parity Check，LDPC)码的译码算法在 FPGA 实现时常采用整数量化操作，产生误差引起译码性能降低。
en-us	The decoding algorithm of LDPC codes is often implemented by integer quantization in FPGA, which leads to the degradation of decoding performance．

zh-cn	引入归一化最小和(Normalized Minimum Sum，NMS)译码算法，在校验点信息数据量化的基础上乘以一个取值区间为(0，1)的改进因子减小误差。
en-us	The NMS decoding algorithm is introduced to reduce the error by multiplying an improved factor with a value range of (0,1) on the basis of quantization of check point information data．

zh-cn	通过研究改进因子的合理取值，提出了一种随迭代次数取不同改进因子改善量化结果的新量化方法。
en-us	By studying the reasonable value of the improvement factor, a new quantization method is proposed to improve the quantization results by taking different improvement factors with the iteration times．

zh-cn	研究对象为空间数据咨询委员会(The Consultative Committee for Space DataSystems，CCSDS)标准中近地空间应用的(8176，7154)LDPC 码，在 MATLAB 上设计编译码算法程序并完成仿真。
en-us	The research object is the (8176，7154)LDPC code of near earth space application in the CCSDS standard. The encoding and decoding algorithm program is designed and simulated on MATLAB．

zh-cn	仿真结果表明改进量化方法完成译码所需的迭代次数更少，提高了译码性能。
en-us	Simulation results show that the improved quantization method needs less iterations to complete decoding and improves the decoding performance．

zh-cn	通过分析不同信噪比下迭代次数的变化，发现在较高噪声干扰下优势更明显。
en-us	By analyzing the change of iteration times under different signal-to-noise ratio, the advantage is more obvious under higher noise interference．

zh-cn	为了满足集成微波器件进行高分辨率微波近场测量的需求，本论文提出了一种基于金刚石氮空位(Ni-trogen-Vacancy，NV)色心的微波近场成像技术。
en-us	In order to meet the needs of integrated microwave devices for high-resolution microwave near-field measurement, this paper proposes a microwave near-field imaging technology based on the diamond Nitrogen-Vacancy (NV)colorcenter．

zh-cn	该技术可用于查找芯片等集成微波器件的干扰源和信号串扰。
en-us	This technology can be used to find interference sources and signal crosstalk of integrated microwave devices such as chips．

zh-cn	此微波近场成像方法采用金刚石 NV 色心颗粒作为场传感器，其中金刚石颗粒固定在锥形光纤的末端。
en-us	This microwave near-field imaging method uses diamond NV color center particles as a field sensor, where the diamond particles are fixed at the end of a tapered fiber．

zh-cn	由于塞曼效应，NV 色心的光探测磁共振(Optical Detection Magnetic Ｒesonance，ODMＲ)谱在外部静磁场环境中会分裂成为 8 个峰，通过测量共振峰频点的 Ｒabi 振荡谱，能够得到 Ｒabi 频率，接着通过 2. 8MHz/Gauss 换算得出该处的微波场强度，最后通过将所测得所有数据点进行二维图像处理即可得到所测芯片和集成微波器件的表面微波场近场图像。
en-us	Due to the Zeeman effect, the optical detection magnetic resonance (ODMＲ) spectrum of the NV color center will split into 8 peaks in the external static magnetic field environment. By measuring the Ｒabioscillation spectrum of the resonance peak frequency point, the Ｒabi frequency can be obtained, and then use 2. 8MHz / Gaussto calculate the microwave field strength. Finally，the near-field image of the surface microwave field of the chip and the integrated microwave device can be obtained by performing two-dimensional image processing on all measured data points．

zh-cn	针对短文本特征稀疏性问题，提出一种熵权约束稀疏表示的短文本分类方法。
en-us	Aiming at the problem of short text feature sparsity, a short text sparse representation classification method based on entropy weighted constraint is proposed．

zh-cn	考虑到初始字典维数较高，首先，利用 Word2vec 工具将字典中的词表示成词向量形式，然后根据加权向量平均值对原始字典进行降维。
en-us	Considering that the initial dictionary dimension is high, firstly, the word inthe dictionary is represented as a word vector form via using the Word2vec tool, and then the original dictionary is reduced according to the average weighted vectors．

zh-cn	其次，利用一种快速特征子集选择算法去除字典中不相关和冗余短文本，得到过滤后的字典。
en-us	Secondly, a fast feature subset selection algorithm is adopted to remove the irrelevant and redundant short texts in the dictionary, and the filtered dictionary can then be obtained．

zh-cn	再次，基于稀疏表示理论在过滤后的字典上，为目标函数设计一种熵权约束的稀疏表示方法，引入拉格朗日乘数法求得目标函数的最优值，从而得到每个类的子空间。
en-us	Thirdly, based on the sparse representation theory, an improved entropy-weighted sparse representation method is designed for the objective function, andthe Lagrange multiplier method is introduced to obtain the optimal value of the objective function, thus the subspace of each class is obtained．

zh-cn	最后，在学习到的子空间下通过计算待分类短文本与每个类中短文本的距离，并根据三种分类规则对短文本进行分类。
en-us	Finally, the distance between the short text to be classified and the short text in each class is calculated under the subspace, and the short text is classified according to three classification rules．

zh-cn	在真实数据集上的大量实验结果表明，本文提出的方法能够有效缓解短文本特征稀疏问题且优于现有短文本分类方法。
en-us	A large number of experimental resultson real data sets show that the proposed method can effectively alleviate the short text feature sparse problem and exhibits better performance than the existing short text classification methods．

zh-cn	精密钟差以及天顶对流层时延是 GPS PPP 解算的重要参数。
en-us	The precision clock and zenith tropospheric delay (ZTD) are important parameters of GPS PPP solution．

zh-cn	本文通过在 PPP 数据处理过程中加入基于更新迭代的状态协方差阵作为取权因子，分别在高精度时间比对和天顶对流层时延方面利用单向滤波以及双向加权滤波对 PPP 解算的钟差及对流层时延进行估计与分析。
en-us	In this paper, the state covariance matrix based on update iteration is used for the weight calculation in GPS PPP data pro-cessing. The results of PPP are estimated by using one-way and two-way filtering weighted in time comparison and ZTD.

zh-cn	结果表明，在零基线比对方面，经加权估计的钟差标准偏差优于单向结果，提高在 30% 以上;
en-us	The results show that in the PPP zero-baseline common clock comparison, the standard deviation to the time difference of the weighted is significantly better than that of the one-way, and the deviation is increased by more than 30% ．

zh-cn	在时间比对方面，利用加权估计的钟差与国际权度局发布的钟差在频率稳定度上水平相当;
en-us	The result of frequency stability is estimated with weighted is equivalent to the Bureau International des Poids et Mesures in time comparison.

zh-cn	最后，在天顶对流层时延估计方面，两种方法相对于 IGS 分析中心公布的天顶对流层时延的残差均方根误差中，加权估计的天顶对流层时延也略有提高。
en-us	And the root mean square of residual to the final results between two methods and the results published by the IGS for the ZTD, the results of the weighted estimation are also slightly improved．

zh-cn	多目标回归旨在使用一组共同的输入变量来预测多个连续变量，其现有方法可归类为问题转换法和算法适应法。
en-us	Multi-target regression (MTＲ) aimed to predict multiple continuous variables using a common set of input variables, whose existing methods could be classified as problem transformation methods (PTM ) and algorithm adaptation methods (AAM)．

zh-cn	它的主要挑战在于如何对输入与输出空间的复杂关系进行建模，以及如何有效利用目标间的相关性。
en-us	Its main challenges were how to model the complex relationship between input and output space, and how to effectively utilize the correlation between targets．

zh-cn	然而，现有的问题转换法很少同时考虑到这两方面。
en-us	However, the existing PTM rarely took both aspects into consideration．

zh-cn	基于此，本文构建了一种问题转换法同时应对这两大挑战，提出了一种结合目标特定特征和目标相关性的多目标回归方法(Multi-Target Ｒegression via Specific Features and Inter-Target Corre-lations，TSF-TC)。
en-us	So, this paper constructs a problem transformation method named TSF-TC combining target-specific features and Inter-Target correlations．

zh-cn	TSF-TC 通过对分箱后的样本进行聚类分析构建目标特定特征从而对输入与输出空间的复杂关系进行建模，通过有选择性地堆叠单目标预测值揭示目标间的相关性。
en-us	TSF-TC constructs specific features to per target by conducting clustering analysis on the samples after binning, and then reveals the correlation between targets by selectively stacking single target prediction．

zh-cn	本文使用 TSF-TC 在 18 个多目标回归数据集上与现有多目标回归方法进行了对比实验，实验结果充分表明了 TSF-TC 的优势。
en-us	Comparative experiments with existing multi-target regression methods on 18 datasets fully demonstrate the advantages of TSF-TC．

zh-cn	自适应滤波器在系统辨识、回声消除、信道均衡等领域获得了广泛应用。
en-us	Adaptive filters have been widely used in system identification， echo cancellation and channel equalization．

zh-cn	符号子带自适应滤波器(SignSubband Adaptive Filter，SSAF)具有较强的抗脉冲干扰能力，但当输入信号受到噪声干扰时，其对未知系统系数向量的估计会产生偏差。
en-us	The sign subband adaptive filter (SSAF) is robust against impulsive noise. However, when the input is corrupted by noise, using the SSAF to estimate the coefficients of the unknown system will result in estimation bias．

zh-cn	为了解决上述问题，本文基于无偏估计准则，提出了一种偏差补偿符号子带自适应滤波器(Bias-Compensated Sign Subband Adaptive Filter，BC-SSAF)。
en-us	To address this problem, this paper proposes a bias-compensated SSAF (BC-SSAF) based on an unbiased-estimation criterion．

zh-cn	为了解决定步长自适应滤波器需要在收敛速度和稳态失调之间进行折中的问题，本文采用随机梯度法来更新正则化参数，提出了变正则化参数偏差补偿符号子带自适应滤波器(Variable Ｒegularization Bias-Compensated Sign Subband Adaptive Filter，VＲ-BC-SSAF)。
en-us	To overcome the problem of tradeoff between convergence rate and steady-state misalignment existing in fixed step-size adaptive filters, this paper uses the method of stochastic gradient to update regularization parameter and thus presents a variable regularization BC-SSAF (VＲ-BC-SSAF)．

zh-cn	仿真结果验证了 BC-SSAF 和 VＲ-BC-SSAF 性能的优越性。
en-us	Simulation results verify the superiority of the BC-SSAF and VＲ-BC-SSAF．

zh-cn	基于短期出租车轨迹数据的载客区域推荐能极大减少系统开销，提高推荐效率，但常伴随着数据稀疏性的问题。
en-us	Taxi pick-up areas recommendation based on the short-term taxi trajectory data can greatly reduce the system overhead and improve the efficiency of the recommendation，but it often has the problems of data sparseness．

zh-cn	针对该问题，本文提出了一种融合地理信息的隐语义模型-GeoLFM。
en-us	For this reason, a Latent Factor Model integrated with the geographic information, called GeoLFM, is put forward．

zh-cn	该模型通过将出租车司机所处的客观地理环境信息，融合到司机-载客区域矩阵分解的过程中，从而弥补数据稀疏性带来的不足。
en-us	This model makes up the faultiness of data sparseness by integrating the geographic information relating to drivers into the Matrix decomposition, which records the visiting relationship between drivers and pick-up areas．

zh-cn	同时，根据出租车实时的空间位置信息，为身处不同地点的出租车推荐不同的载客区域。
en-us	Meanwhile, different pick-up areas can be recommended for the taxis in various locations according to the real-time spatial context of the taxis．

zh-cn	实验证明，本文提出的方法与常用方法相比，推荐结果与真实的出租车司机载客情况间的平均绝对误差和均方根误差都得到大幅降低，较好的提升了推荐效果。
en-us	Experimental results show that, with the comparison between our proposed method and others, the Mean Absolute Error (MAE) and the Ｒoot MeanSquare Error (ＲMSE) between the recommended results and the actual value are significantly reduced, which indicates the recommendation effect is better improved．

zh-cn	文本序列的自动标注能够解决深度学习普遍面临的人工标注成本过高的问题。
en-us	Automatic annotation of text sequence can address the common issue of high manual annotation labor cost in deep learning．

zh-cn	本文针对地址信息的实体表述特征，构建基于实体边界矩阵(Entity Boundary Matrix，EBM)的表示模型，在此基础上提出了一种基于深度学习和 KNN 标签修正算法(K-Nearest Neighbours Correction Algorithm，KNN-CA)的不需要任何人工标注训练集的自动标注算法。
en-us	In this paper, a representation model based on the entity boundary matrix (EBM) is constructed. On the basis, we propose an automatic annotation algorithm combining deep learning with KNN annotation correction algorithm (KNN-CA) where the manual labeling training set is not required．

zh-cn	首先获取预置小区数据集并构建离线特征库和初始化在线特征库;
en-us	Firstly, the offline feature library and online feature library is built and initialized respectively with the utilization of collecting estate dataset．

zh-cn	接着通过匹配算法求解 EBM 并利用 KNN-CA 进行优化，再通过数据增广得到自动标注的训练集;
en-us	In addition, EBM is solved by matching algorithm and optimized via KNN-CA technique． After the data augmentation process, a training dataset of automaticannotation is obtained．

zh-cn	然后训练 BiLSTM-CＲF 深度学习模型并预测所有未曾标注的地址信息的序列标注;
en-us	Then the BiLSTM-CＲF deep learning model is trained and all unlabeled annotation sequence is predicted．

zh-cn	最后再次利用 KNN-CA 优化可求解 EBM 的序列标注，由此构建适用于中文地理命名实体(Chi-nese Geospatial Named Entities，CGSNE)识 别 及 相 关 研 究 的 序 列 标 注 语 料 库。
en-us	Eventually, the annotation sequence of solvable EBM is optimized via KNN-CA again so as to construct a sequence annotatied corpus dataset which is suitable for the identification of Chinese Geospatial Named Entities (CGSNE) and related researches．

zh-cn	实 验 表 明，标 注 数 据 的 F1 值 达 到了 95. 35% 。
en-us	The experiment demonstrates that F1 score of labeled data reaches 95. 35% ．

zh-cn	多机器人路径规划是机器人领域的一个热点问题，相比于单机器人路径规划，其算法难度和复杂度都有所增加，在规划时需要兼顾多机避障、相互协作等难点问题。
en-us	Multi-robot path planning is one of the most attractive issues in the field of multiple robots. Compared with the algorithm for the single-robot path planning, the problem of multi-robot path planning, which takes obstacle avoidance and cooperation into account simultaneously, is more difficult and complex．

zh-cn	本文提出一种改进快速扩展随机树的多机器人编队路径规划算法，用于解决多机器人在复杂环境下的编队路径规划问题。
en-us	Hence, a novel improved rapidly-exploring random tree algorithm for multi-robot formation path planning in this paper is proposed to address these obstacle avoidance and cooperation problems．

zh-cn	针对多机器人在编队规划中的位置约束问题，定义机器人之间的领航-跟随结构，并对机器人队形建模。
en-us	The constraint condition of positional relationship is defined by modeling the multi-robot formation shape．

zh-cn	针对规划过程中编队朝向变化问题，建立搜索树扩展方向与队形方向之间的联系，通过调整队形方向改变规划时的编队朝向。
en-us	Besides, the heading of formation is adjusted with the direction the exploring tree expands．

zh-cn	针对具有质点模型和非完整约束动力学模型两种不同模型的多机器人系统，分别进行了仿真实验。
en-us	Additionally, simulations are conducted for two different models of robots: the particle model and the non-holonomic constraint dynamic model.

zh-cn	仿真结果表明该算法在处理多机器人编队路径规划问题时可以取得良好的效果。
en-us	Simulation results are provided to demonstrate the effectiveness of the proposed algorithm．

zh-cn	已有的支持在线 /离线加密和外包解密的基于属性加密的方案可实现细粒度访问控制和数据保密性，但无法实现同一属性之间的层次关系的表达和数据防篡改，并且终端需要在离线加密之前确定用户的访问结构，每次加密都需重新生成中间密文。
en-us	Existing attribute-based encryption schemes which support online/offline outsourcing encryption and de-cryption can realize fine-grained access control and data confidentiality, but it cannot achieve the expression of hierarchical relationships between the same attributes and prevent data from being tampered. Besides, the terminal needs to determine the user's access structure before offline encryption, and the intermediate ciphertext needs to be regenerated every time．

zh-cn	针对上述问题，本文提出了一种支持离线 /在线加密及可验证外包解密的 CP-WABE(Ciphertext-Policy Weighted Attribute-Based Encryption)方案。
en-us	Aiming atthe above problems, this paper proposes a CP-WABE (Ciphertext-Policy Weighted Attribute-Based Encryption) scheme supports offline/online encryption and verifiable outsourced decryption．

zh-cn	该方案通过权重集合来实现同一属性层次关系的灵活表达，可实现一次离线加密就产生不同访问结构的数据的中间密文，在线仅需要少量开销就可完成加密，同时对外包解密的正确性进行了验证。
en-us	The scheme realizes the flexible expression of the hierarchical relation of the same attributes through the weight sets, which can realize the generation of intermediate ciphertext of the data with different access structure after one offline encryption, and complete the online encryption with only a small amount of overhead. At the same time，the correctness of outsourced decryption is verified.

zh-cn	最后对方案进行了安全性和性能分析，实验仿真也表明了本文对比相关方案更具优势。
en-us	Finally, the security and performance of the scheme are analyzed, and the experimental simulation also shows that this paper has more advantages than the related schemes．

zh-cn	设计精确的定位算法是无线传感器网络(Wireless Sensor Networks，WSNs)的研究热点。
en-us	Designing accurate localization algorithms is a research focus in WSNs (Wireless Sensor Networks)．

zh-cn	针对 DV-Hop(Distance Vector-Hop)定位算法中节点间距离估计误差较大导致定位不精确的问题，提出了一种具有连续跳数值的三维 DV-Hop 改进算法。
en-us	Aiming at the problem that the large estimated distance error between nodes could result in inaccurate localization in DistanceVector-Hop (DV-Hop), we proposed an improved three-dimensional DV-Hop algorithm with continuous hop value in this paper．

zh-cn	探究了邻居节点间的距离与相应节点位置和通信半径构成的相交球体体积之间的关系，提出了连续跳数值的定义，并通过参数修正给出了其计算方法。
en-us	Firstly, the algorithm explored the relationship between the distance of neighbor nodes and the volume of intersecting spheres which is composed of the corresponding node locations and communication radius． In addition, the definition and parameter modification calculation formula of continuous hop value were put forward．

zh-cn	通过仿真实验探究了网络环境对参数的影响并确定了参数的取值，使用连续跳数值代替 DV-Hop 算法中的跳数来降低节点间距离估计误差。
en-us	Then we explored the influence of network environment on parameters and determined parameters value through simulation. The accurate continuous hop value was used instead of the hop in DV-Hop to reduce the estimated distance error between nodes．

zh-cn	仿真实验表明，该算法在不增加算法复杂度以及额外硬件的情况下有效地降低了定位误差。
en-us	The simulation results show that the algorithm effectively reduces the localization error without increasing the complexity of the algorithm and additional hardware．

zh-cn	不同以往通过重构电路行为实现可逆有限状态机方法，本文提出了一种可逆有限状态机的电路结构。
en-us	Unlike the previous methods of realizing reversible finite state machine (FSM) by reconstructing FSM behavior, a circuit structure for reversible FSM realization is proposed in this paper．

zh-cn	该电路主要包括次态与输出计算电路以及状态预置与采样锁存电路两部分，且提出的可逆有限状态机电路中不存在独立的可逆触发器，但可以实现可逆 JK，D，T 等触发器功能。
en-us	The circuit structure mainly includes two parts, one for next state and output calculation，the other for state preset, data sampling and storage. In the proposed reversible FSM，there is no complete reversible flip-flops such as JK, D and T, but their functions can be realized by the proposed reversible FSM．

zh-cn	同时，文中也提出了基于该可逆有限状态机电路的可逆时序电路综合方法，并用实例进行了验证。
en-us	Furthermore, a synthesis method of reversible sequential circuits based on the proposed reversible FSM is presented and verified by an example．

zh-cn	相比于基于行为重构的可逆有限状态机的综合方法，本文提出的综合方法可以避免原始状态机的逆状态机的求解和增加额外的信号位，从而使得综合过程变得更加简单。
en-us	Compared with the synthesis methods of reversible finite state machine based on behavior reconstruction, the proposed synthesis method in this paper can avoid the solution of the inverse state machine of the original state machine and adding extra bits, which makes the synthesis process simpler．

zh-cn	针对船舶机械未知时变谐波噪声的主动控制问题，基于正交锁相环原理，提出了一种归一化 QPLL(Quadrature Phase Locked Loop)的未知时变谐波噪声主动控制方法。
en-us	In order to tackle the problem of active control of unknown and time-varying harmonic noise induced byship on-board machinery, a modified normalized QPLL (Quadrature Phase Locked Loop) based active control algorithm is proposed inspired by quadrature phase locked loop tracking mechanism．

zh-cn	通过在相位/频率更新结构中引入参数调整因子，形成一种改进的 QPLL 结构;
en-us	With the introduction of adjustment parameter inphase/frequency structure, an improved QPLL structure is derived．

zh-cn	引入次级通道，设计并提出了基于 QPLL 的未知时变谐波噪声控制算法。
en-us	Then, design of active control algorithm based on QPLLis proposed by introducing secondary path in the control loop．

zh-cn	首先，通过平均化理论和线性化方法，分析该算法的稳定性，指出了次级通道特性和谐波信号幅值对该算法收敛性能的影响;
en-us	In the proposed algorithm, firstly, performance effect causedby secondary path and amplitude of sinusoidal signal is pointed out by using averaging theory and approximating analysis．

zh-cn	其次，基于分析结果，引入次级通道、幅值归一化措施，形成一种归一化的未知时变谐波噪声主动控制算法，提升稳定性能和收敛速度;
en-us	Secondly, an improved active control algorithm for time-varying sinusoidal is proposed with the normalization of secondary path and amplitude．

zh-cn	最后，通过仿真验证了归一化改进措施对未知时变谐波噪声主动控制算法综合性能的改善效果。
en-us	Finally, simulation results validate the effective performance improvement of active control algorithm for unknown and time-varying harmonic noise．

zh-cn	随着网络规模的不断增大以及网络复杂度的不断提高，传统路由算法面对网络流量在时空分布上的剧烈波动难以兼顾计算复杂度和算法效率。
en-us	With the expansion of network scale and network complexity, traditional routing algorithms cannot ensure both the calculation complexity and performance under the large fluctuation of spatial-temporal distribution of network traffic．

zh-cn	近年来，随着软件定义网络和人工智能技术的兴起，基于机器学习的自动路由策略生成逐渐受到关注。
en-us	In recent years, with the development of Software-Defined Networking (SDN) and Artificial Intelligence (AI), AI-based methods of automatic routing strategies are gaining attention．

zh-cn	本文提出一种基于深度增强学习的智能路由技术 SmartPath，通过动态收集网络状态，使用深度增强学习自动生成路由策略，从而保证路由策略能够动态适应网络流量变化。
en-us	In this paper, we propose an intelligent network routing technology called SmartPath based on Deep Ｒeinforcement Learning (DＲL). With dynamic collection of network status, we can use DＲL to generate routing policies automatically, thus ensuring that the routing policy can dynamically adapt to the change of network traffic．

zh-cn	实验结果表明，本文所提出的方案能够不依赖人工流量建模动态更新网络路由，在测试环境下比当前最优方案减少至少 10% 的平均端到端传输时延。
en-us	Experiment result shows that the proposed scheme can adjust the routing strategy dynamically without human experience on traffic analysis and can reduce the average end-to-end transmission delay by at least 10% compared with the state-of-art schemes．

zh-cn	中小功率单相全桥逆变器常以金属氧化物半导体场效应晶体管(Metal Oxide Semiconductor Field EffectTransistor，MOSFET)作为开关器件，为实现逆变器在高开关频率下的节能运行，本文提出了一种单相全桥节能型谐振极逆变器拓扑结构，其桥臂上分别并联相同的辅助谐振电路。
en-us	Metal oxide semiconductor field effect transistor (MOSFET) is often used as the switching devices in medium and small power single-phase full-bridge inverters. To realize energy-saving operation of the inverters at high switching frequency, a single-phase full-bridge energy-saving resonant pole inverter topology is proposed. The same auxiliary resonant circuit is connected with parallel on the bridge arm.

zh-cn	桥臂上的主开关开通前，其并联的谐振电容的电压能周期性变为零，使主开关完成零电压软开通，可消除 MOSFET 的容性开通损耗，有利于逆变器的节能运行。
en-us	Before the main switch on the bridge arm is switched on, the voltage across its parallel resonant capacitor becomes zero periodically, which makes the main switch achieve zero-voltage soft-switching and eliminates the capacitive switching loss of MOSFET. It is conducive to the energy-saving operation of the inverter．

zh-cn	本文分析了电路的工作模态，实验结果表明主开关器件处于零电压软切换。
en-us	In this paper, the working mode of the circuit is analyzed. The experimental results show that the main switching devices achieve zero-voltage soft-switching．

zh-cn	因此，该拓扑结构对于研发高性能的中小功率单相全桥逆变器具有参考价值。
en-us	Therefore, this topology has reference value for the research and development of high-performance medium and small power single-phase full-bridge inverters．

zh-cn	基于混沌同步控制在保密通信及优化等诸多范畴的遍及应用，本文研究一类驱动-响应系统的同步性问题，包含指数同步性和多项式同步性。
en-us	Based on the general application of chaotic synchronization control in many fields, such as secure communication and optimization, the synchronization of a class of drive-response systems is studied in this paper, including exponential synchronization and polynomial synchronization．

zh-cn	这里以一类带多比例时滞的细胞神经网络作为驱动系统，一类不带比例时滞的细胞神经网络作为响应系统。
en-us	One kind of cellular neural network with multiple proportional delays is used as the driving system and the other one without the proportional delay is used for the response system．

zh-cn	在激活函数满足 Lipschitz 的条件下，通过设计合适的时滞依赖的控制器，且利用 Lya-punov 稳定性理论及一些不等式分析探讨误差系统的稳定性，进而得到所研究的驱动-响应系统同步性的两个判定标准，然后给出数值模拟验证所得结果。
en-us	Under the condition that the activation function satisfies the Lipschitz, by designing a proper delay-dependent controller, using the Lya-punov stability theory and some inequality analysis and discussing the stability of the error system, two criteria of the syn-chronization for the driven response systems are obtained; then two simulations are shown to verify the results．

zh-cn	电磁场表面积分方程方法( SIE) 中的高阶近奇异性积分是 SIE 精确求解的关键技术之一，但现有方法主要是处理平面单元建模中的低阶近奇异性问题，目前还没有一种可用于高阶曲面建模中 3 阶近奇异性的精确稳定积分方法。
en-us	The accurate evaluation of higher order nearly singular integrals is one of the key technologies in accurate simulation by electromagnetic surface integral equations ( SIE). However, the present methods mainly focus on low order nearly singular integrals for the planar element modeling, rather than on 3-order nearly singular integrals in higher order geometry modeling.

zh-cn	本文在前期提出的双正切变换方法( DAT) 的基础上，针对高阶曲面建模中含有 ＲＲ/Ｒ5、Ｒ/Ｒ4和 1 /Ｒ3等形式积分核的近奇异性问题，通过引入指数变换解决了 DAT 算法在近奇异点与源单元非常接近时算法不稳定的问题，并通过引入形函数变换解决了 DAT 近奇异点与源单元边界靠近时积分不稳定的问题，形成改进型双正切变换方法( IDAT) 。
en-us	Based on the former research of the Double Arctan-Transformation ( DAT) , the improved Double Arctan-Transformation ( IDAT) is proposed to improve the stability and accuracy of the nearly singular integrals with singular kernel ＲＲ/Ｒ5, Ｒ/Ｒ4and 1 /Ｒ3 for higher order geometry modeling. Specifically, the exponential transformation is utilized to stabilize the integrals when the field points are extremely close to the source surface．

zh-cn	相对于 DAT，所提 IDAT 更稳定高效。
en-us	Furthermore, the shape-function transformation is adopted to stabilize the integrals when the projection point approaches to the border of source surface．

zh-cn	所提 IDAT 不仅可用于曲面单元中的高阶近奇异性问题的精确积分，同时也适用于低阶近奇异积分问题。
en-us	The proposed IDAT is also effective for the lower orders of the nearly singular integral kernels．

zh-cn	理论分析与数值算例验证了本文所提方法的精确性与稳定性。
en-us	With theoretical analysis and typical testing cases, the accuracy and stability performance of IDAT is fairly evaluated．

zh-cn	网络表示学习旨在将网络信息表示为低维稠密的实数向量，解决链接预测、异常检测、推荐系统等任务。
en-us	Network representation learning aims to learn the low-dimensional dense real-valued vector of network information, which solves practical tasks such as link prediction, anomaly detection, and recommendation systems．

zh-cn	近年来，网络表示学习研究取得重大进展，但研究多基于静态网络，而真实世界构成的网络是动态变化的，对动态网络分析的需求日益增加。
en-us	Ｒecently, network representation learning has made great progress. Most existing researches focus on static networks, while real network is dynamic all the time.

zh-cn	本文总结了当前动态网络表示学习的方法与研究进展，首先提出网络表示学习的动机，阐述动态网络以及表示学习的发展历史与理论基础;
en-us	This survey proposes state of the arts on representation learning of dynamic network． Firstly, it provides historical overview of representation learning in network, followed by the motivation and theoretical basis of dynamic network representation learning．

zh-cn	接着，系统概述了大量动态网络嵌入方法，包括基于矩阵分解的动态图嵌入、基于随机游走的动态图嵌入、基于深度学习的动态图嵌入和基于重构概率的动态图嵌入，并分析与比较，给出动态网络表示学习的应用场景;
en-us	Then comprehensive analysis of dynamic models is proposed, including matrix factorization, random-walk, deep learning, edge reconstruction based dynamic models, and gives the application scenarios of dynamic network embedding．

zh-cn	最后，总结未来网络表示学习的研究方向。
en-us	Finally, research directions of representation learning in the future are summarized.

zh-cn	只有考虑网络的动态性，才能真实反映现实网络的演化，使网络表示学习更具价值。
en-us	Only when considering the temporal dynamics, structure and content can we truly reflect the evolution of the real network and make network representation learning more valuable.

zh-cn	针对 LEO 卫星网络在多跳转发数据包时流量分布不均问题，提出了一种基于不完全信息的最优收益路由联盟博弈算法。
en-us	To tackle the difficulty of imbalanced traffic load when forwarding data packets through multiple hops in LEO satellite network, we propose a collaborative game theory routing strategy with incomplete information．

zh-cn	各节点协同联盟邻居节点，共同确定数据报文当前最优转发路径，从而分配和平衡节点间流量负载。
en-us	Each node determines the current optimal routing path of the data packets through cooperating with neighbors for locally optimized coalition gain. This strategy distributes and balances the traffic workload among neighbor nodes effectively．

zh-cn	仿真结果表明，与最短路径卫星路由 DSP 或智能路由 TLＲ 相比，本文算法的平均数据传输延迟降低了 18. 5% ，节点流量负载均衡度提高了 65. 6% 。
en-us	Simulations show that compared with satellite routing based on the DSP shortest path or the TLＲ intelligent routing, the proposed algorithm reduces the average transmission delay by 18. 5% , and improves the load balancing of nodes by 65. 6% ．

zh-cn	相较于传统正交多址接入，非正交多址接入技术由于在系统吞吐量、频谱效率和能量效率等方面的优势，使其成为 5G 多址技术研究热点。
en-us	As non-orthogonal multiple access technology can achieve higher system throughput，spectrum efficiency and energy efficiency than traditional orthogonal access technology，it has become a research hotspot of 5G multiple access technology．

zh-cn	针对 NOMA 下行链路的系统能量效率优化问题，提出一种基于改进粒子群算法的功率分配策略。
en-us	In this paper, a power allocation strategy based on Improved Particle Swarm Optimization ( IPSO) is proposed to optimize the energy efficiency of NOMA downlink system．

zh-cn	建立了基于能量效率最大化的优化模型，在标准粒子群算法的基础上提出三点改进，并将改进后的粒子群算法用于求解最大化系统能效的目标函数。
en-us	The Standard Particle Swarm Optimization ( SPSO) is improved in three aspects, and the IPSO algorithm is used to solve the objective function to maximize the energy efficiency of the system．

zh-cn	研究结果表明，在最佳功率分配点处，改进后的粒子群算法使系统能量效率显著提高。
en-us	The simulation results show that at the optimal power allocation point, the IPSO algorithm can significantly improve the energy efficiency of the system．

zh-cn	本文提出了一种基于改进 Wasserstein 生成式对抗网络( De-aliasing Wasserstein Generative AdversarialNetwork with Gradient Penalty，DAWGAN-GP) 的磁共振图像重构算法，该方法利用 Wasserstein 生成式对抗网络代替传统的生成式对抗网络，并结合梯度惩罚的方法提高训练速度，解决 WGAN 收敛缓慢问题。
en-us	In this paper, we propose an improved Wasserstein generative adversarial network ( WGAN) , de-aliasing Wasserstein generative adversarial network with Gradient Penalty ( DAWGAN-GP) , for magnetic resonance imaging ( MＲI) reconstruction. This method uses WGAN to replace the traditional GAN, and combined the gradient penalty to improve thetraining speed and to solve the slow convergence problem of WGAN.

zh-cn	此外，为了有更好的重构效果，我们将感知损失，像素损失和频域损失引入至损失函数中进行网络训练。
en-us	In addition, for better preservation of the fine structuresin the reconstructed images, we incorporate perceptual loss, pixel loss and frequency loss into the loss function for training the network.

zh-cn	实验结果表明，对比现有的基于深度学习的磁共振图像重构算法，基于 DAWGAN-GP 的磁共振图像重构方法具有更好的重构效果，可获得更高的峰值信噪比( Peak Signal to Noise Ｒatio，PSNＲ) 和更好的结构相似性( Structural Similarity Index Measure，SSIM) 。
en-us	Compared with other state-of-the-art deep learning methods for MＲ images reconstruction, DAWGAN-GPmethod outperforms all other methods and can provide superior reconstruction with improved peak signal to noise ratio( PSNＲ) and better structural similarity index measure ( SSIM) ．

zh-cn	近年来，结合深度特征的相关滤波算法由于较高的跟踪精度在视觉跟踪领域受到了广泛的关注。
en-us	In recent years, the correlation filter based algorithm combined with deep features has received extensive attention．

zh-cn	对训练样本的周期性假设一方面提高了计算效率，但是也引入了边界效应，限制了算法性能的进一步提升。
en-us	The period assumption of the training samples improves the computational efficiency, but also introduces the boundary effect, which limits the further improvement of the tracking performance．

zh-cn	通过对深度特征表达能力的深入挖掘，本文提出了一种新的跟踪框架。
en-us	By exploring the deep feature representation ability, a new tracking framework is proposed．

zh-cn	由于深层特征具有良好的语义信息，选取 VGG 网络第五层卷积特征提取目标的空间可靠区域，将该区域信息用于对样本进行裁剪并引入目标函数，建立空间约束模型，接着采用ADMM 算法进行迭代求解。
en-us	Since the deep features have good semantic information, the fifth layer convolution feature of VGG network is used to extract the spatially reliable region of the target, and the region information is introduced into the objective function to establish a spatial constraint model. Then iteratively solved by ADMM algorithm．

zh-cn	为了进一步提高算法的长时跟踪能力，提出一种简单有效的遮挡判断方法。
en-us	In order to furtherimprove the long-time tracking ability, a simple and effective method of occlusion detection is proposed．

zh-cn	实验结果表明，所提出的算法在跟踪精度和成功率上优于大多数先进的算法。
en-us	Experimental results show that the proposed algorithm outperforms most advanced algorithms in tracking accuracy and success rate．

zh-cn	灵敏度是表征微波辐射计能够检测到最小亮温变化的能力，是微波辐射计一项重要指标。
en-us	Sensitivity is the ability of microwave radiometer to detect the minimum temperature change and is an important index of microwave radiometer．

zh-cn	本文针对数字相关型全极化微波辐射计，提出了一种使用相关器输出的计数值计算各通道灵敏度的方法，并通过了实验验证。
en-us	In this paper, a method of calculating the sensitivity of each channel by means of the output of the correlator is proposed for the digital correlation full polarized microwave radiometer．

zh-cn	对比模拟通道灵敏度和数字通道灵敏度，分析了量化噪声和通道间串扰对灵敏度的影响。
en-us	The effects of quantization noise and crosstalk on sensitivity of analog channel and digital channel are analyzed．

zh-cn	单幅图像去雨技术的瓶颈问题是在缺少帧与帧时间序列信息的情况下，如何能够在有效去除多密度雨条纹的同时保留图像背景的细节结构信息。
en-us	The bottleneck problem of single image de-raining is how to preserve the detailed structure information of image background with a lack of time series data between frames when removing the multi-density rain fringe．

zh-cn	针对该问题，本文提出了一种新的基于编码解码器结构的单幅图像去雨算法。
en-us	The new single image de-raining algorithm based on the coder and decoder structure is proposed in this paper．

zh-cn	首先利用非局部操作获得不同像素点间的位置关系信息，从而获得图像全局信息表征。
en-us	Firstly, the positional rela-tionship information of various pixels between the points is obtained by non-local operation which can obtain the global in-formation of the image representation．

zh-cn	其次，采用空间注意力机制对全局信息在空间维度位置上进行权值重标定，即在通道维度上对特征进行非线性建模，从而达到聚集相似特征和有用信息的目的。
en-us	Secondly, the spatial attention is applied to recalibrate the global information in the spatial dimension position, and the channel features are nonlinearly modeled in the channel dimension to aggregate similar characteristics and useful information．

zh-cn	最后，利用反卷积与长距离残差连接逐层恢复去雨图像的大小。
en-us	Finally, the original size of rainy image is obtained by utilizing the de-convolution and long distance residual connection．

zh-cn	分析和实验结果表明，本文提出算法雨痕去除效果明显，有效解决了去除具有不同雨密度大小雨条纹的现实困难，同时较好地保留图像的细节和边缘信息。
en-us	The experimental results and analysis show that the proposed algorithm can obtain significant de-raindrop effect. The proposed algorithm can also resolve the difficulties of removing raindrops with various densities while maintaining the details of the image and edge information．

zh-cn	机器学习的飞速发展使其成为数据挖掘领域最有效的工具之一，但算法的训练过程往往需要大量的用户数据，给用户带来了极大的隐私泄漏风险。
en-us	The rapid development of machine learning makes itself one of the most effective tools in the data mining research community. However, the training of algorithm often needs a large amount of user data, which brings a great risk of privacy leakage to users．

zh-cn	由于数据统计特征的复杂性及语义丰富性，传统隐私数据发布方法往往需要对原始数据进行过度清洗，导致数据可用性低而难以再适用于数据挖掘任务。
en-us	Due to the complex statistical characteristics and semantic richness of the data, traditional privatedata publishing methods usually sanitize original data too excessively to lead to low data availability and uselessness in datamining tasks．

zh-cn	为此，提出了一种基于生成对抗网络( Generative Adversarial Network，GAN) 的差分隐私数据发布方法，通过在 GAN 模型训练的梯度上添加精心设计的噪声来实现差分隐私，确保 GAN 可无限量生成符合源数据统计特性且不泄露隐私的合成数据。
en-us	In this paper, a differential private data publishing method based on generative adversarial network ( GAN) is proposed. The differential privacy of the GAN model is realized by adding carefully designed noise to the gradients during the training procedure, so that the GAN can generate unlimited synthetic data conforming to the original statistical characteristics without disclosing any privacy．

zh-cn	针对现有同类方法合成数据质量低、模型收敛缓慢等问题，设计多种优化策略来灵活调整隐私预算分配并减小总体噪声规模，同时从理论上证明了合成数据严格满足差分隐私特性。
en-us	Aiming at the problems of low quality synthetic data and slow convergence in the existing similar methods, several optimization strategies are designed to adjust the privacy budget allocation and reduce the overall noise scale． Moreover, we provide rigorous proof that the synthetic data satisfies the differential privacy.

zh-cn	在公开数据集上与现有方法进行实验对比，结果表明本方法能够更高效地生成质量更高的隐私保护数据，适用于多种数据分析任务。
en-us	Comparisons with existing methods on public datasets show that the method proposed can generate private data with higher quality more efficiently, which is suitable for various data analysis tasks．

zh-cn	在 X 射线 CT 成像检测系统中，复杂异形工件由于结构复杂，散射、硬化等现象较严重，而且在部分投影角度上，由于在射线透照方向上的有效厚度差异大，固定能量的射线剂量与厚度不匹配，投影数据质量较差，传统的CT 重建算法得到的重建图像质量低，边缘模糊，无法获取工件的完整轮廓信息。
en-us	In the X-ray CT imaging inspection system, due to the complicated structure of complex shaped workpieces, scattering, hardening and other phenomena are more serious. At some projection angles, due to the large difference in effective thickness in the ray transillumination direction, the fixed energy ray dose does not match the thickness, the quality of the projection data is poor, the reconstructed image obtained by the traditional CT reconstruction algorithm is of low quality, the edges are blurred, and the complete contour information of the workpiece cannot be obtained.

zh-cn	为此文章研究了一种基于轮廓先验约束的复杂异形工件 CT 成像方法。
en-us	In this paper, a CT imagingmethod for complex shaped workpieces based on contour prior constraints is studied．

zh-cn	首先利用双目立体视觉技术获取工件的轮廓信息，根据双目坐标系与 CT 坐标系间的空间位置关系完成先验图像的配准;
en-us	Firstly, the binocular stereo vision technology is used to obtain the contour information of the workpiece, and the registration of the a priori image is completed according to the spatial positional relationship between the binocular coordinate system and the CT coordinate system．

zh-cn	然后将轮廓先验纳入到 CT 重建过程中并结合 TV 正则化进行轮廓约束重建。
en-us	The contour prior is then incorporated into the CT reconstruction process and contour constrained reconstruction is performed in conjunction with TV ( Total-variation) regularization．

zh-cn	实验结果表明，该方法能够有效地抑制伪影和噪声，保留重建图像的边缘，改善重建图像质量，有助于提高复杂异形工件缺陷检测的可靠性。
en-us	The experimental results show that the proposed method can effectively suppress artifacts and noise, preserve the edges of reconstructed images, improve the quality of reconstructed images, and improve the reliability of defect detection of complex shaped workpieces．

zh-cn	建立了微尺度芯片尺寸封装焊点有限元分析模型并对其进行扭转应力应变仿真分析与实验验证。
en-us	The finite element analysis model of micro-scale chip scale package( CSP) solder joints is set up and stress and strain analysis are performed under torsion load, and the verification experiment is also carried out．

zh-cn	分析了焊点材料、焊点直径、焊盘直径和焊点高度对焊点扭转应力应变的影响;
en-us	The influence of solder joint diameter, solder joint diameter, pad diameter and solder joint height on the torsion stress and strain of micro-scale CSP solder joints are analyzed．

zh-cn	以焊点材料、焊点直径、焊盘直径和焊点高度为设计变量，采用响应面法设计了 29 组不同水平组合的焊点模型并获取了相应焊点扭转应力，建立了焊点扭转应力与焊点结构参数的回归方程，结合遗传算法对焊点结构参数进行了优化。
en-us	The solder joint material, solder joint diameter, pad diameter and solder joint height are selected as design variables; 29 groups of solder joints with different levels are designed and simulated by response surfaceme thodology. The regression equation of solder joint torsion stress and structural parameters is established. The structural parameters of solder joint are optimized based on the regression equation and genetic algorithm．

zh-cn	结果表明: 焊点材料为 SAC305 时扭转应力应变最大，焊点最大扭转应力应变随焊点直径和焊盘直径增加而减小、随焊点高度增大而增大;
en-us	The results show that the maximum torsion stress and strain occurs with the solder joints material of SAC305, the maximum solder joint torsion stress and strain decreases with the increase of solder joint diameter and pad diameter, and increases with the increase of solder jointheight;

zh-cn	最优焊点结构参数水平组合为: 焊点材料 SAC305、焊点直径 0. 22mm、焊盘直径 0. 14mm 和焊点高度 0. 14mm;仿真验证表明最优焊点最大扭转应力下降了 3. 7MPa。
en-us	the optimal combination of solder joint level is the solder joint material of SAC305, the solder joint diameter of 0. 22mm, the pad diameter of 0. 14 mm and the solder joint height of 0. 14mm, and simulation verification result shows the maximum stress of the solder joint decreases by 3. 7MPa after optimization．

zh-cn	小小区密集部署的异构网络是 5G 系统提升网络容量与数据速率的最有效的关键技术之一。
en-us	Dense heterogeneous networks ( DenseHetNets) is one of the most promising technologies to enhance the 5G network capacity．

zh-cn	随着小小区的大量部署，小小区之间的同频干扰以及小小区基站( Small Cell Base Stations，SeNBs) 的能耗问题愈发显著。
en-us	However, with a large number of small cells, the problem of co-channel interference and energy efficiency of small cell base stations ( SeNBs) becomes more and more severe．

zh-cn	为提高SeNBs 能效并降低小小区间的同频干扰，提出一种基于干扰贡献比( Interference Contribution Ｒatio，ICＲ) 的小小区开关算法，可以仅通过较少的用户设备( User Equipment，UE) 信息反馈量与测量过程实现有效的小小区开关操作。
en-us	In order to improve the power efficiency and alleviate the co-channel interference, small cells need to be switched on or off accordingly. This paper proposes a SeNB switching on/off algorithm based on the interference contribution rates of the small cells that involve less signaling information in the procedure of switching on/off operation and require less computational complexity under the dense HetNet environment．

zh-cn	仿真表明，所提算法在保持较低的小小区业务损失量的前提下，能有效地降低小小区之间的同频干扰，提高网络总速率与SeNBs 能效。
en-us	Simulation results show that the algorithm proposed in this paper can effectively reduce the co-channel interference of smallcells and improve the total network rate, at the same time, maintain a lower loss rate of load in small cells．

zh-cn	由于室内多径信号丰富且包含了室内几何信息，可以利用室内多径信号对目标进行定位。
en-us	Multipath signals can be used to realize localization since they are abundant and contain geometry information of indoor environments．

zh-cn	基于此，本文提出了一种多径辅助的目标定位算法。
en-us	Based on this, this paper proposes a multipath-assisted target localization algorithm．

zh-cn	首先，利用多径信号的差分飞行时间( Time of Flight，TOF) 构建关于目标以及散射体位置的适应度函数;
en-us	Firstly, the fitness function about the target and scatterer locations is constructed with Time of Flight ( TOF) differences．

zh-cn	然后，提出了基于粒子群优化( Particle Swarm Optimization，PSO) 的目标及散射体位置联合搜索算法，其中利用目标及散射体到达角( Angle of Arrival，AOA) 确定搜索范围;
en-us	Then, the locations of the target and scatterers are searched jointly by Particle Swarm Optimization ( PSO) and Angle of Arrivals ( AOAs) that determines searching ranges．

zh-cn	其次，选取搜索到的散射体位置联合差分 TOF 求解目标位置;
en-us	Secondly, the estimated locations of scatterers and TOF differences are used to estimate the target location．

zh-cn	最后，利用仿射传播聚类( Affinity Propagation Clustering，APC) 对所有散射体估计到的目标位置进行聚类，提出聚类准则消除大的定位误差点。
en-us	Finally, all target locations are clustered by using Affinity Propagation Clustering ( APC) ，and a clustering criterion is proposed to eliminate big localization errors.

zh-cn	仿真结果表明，本文所提算法利用单个基站可以达到较高定位精度。
en-us	The simulation results show that the proposed algorithm can achieve high localization accuracy with a single base station．

zh-cn	传统的推荐算法受限于单领域中用户和项目的稀疏关系，也存在用户冷启动等问题．跨领域推荐能够通过学习辅助领域的知识去丰富目标领域的稀疏数据以提高推荐准确率。
en-us	Cross-domain recommendation can study the knowledge of the auxiliary domains to enrich the knowledgein the target domain, so as to improve the recommendation precision in the target domain．

zh-cn	本文提出了一种知识聚合和迁移相结合的跨领域推荐算法 ATCF。
en-us	This paper proposes an aggregation and transfer collaborative filtering algorithm for cross-domain recommendation ( ATCF) ．

zh-cn	与已有算法不同，在对共性知识和个性知识的表示学习中，ATCF 均充分融合了辅助域和目标域的知识，通过基于矩阵分解的两级矩阵拼接和两次矩阵填充，得到在群集矩阵及评分矩阵上的共性知识表示;
en-us	In order to represent the sharing knowledge in different domains, the knowledge in the auxiliary domain and the target domain are fully aggregated, through two levels of matrix concatenation. Moreover, the personalized knowledge of the target domain is represented by knowledge transferring from auxiliary domain.

zh-cn	通过知识迁移，构建了重叠用户和非重叠用户的个性知识表示，有效避免了负迁移。
en-us	By fusion the sharing and the personalized knowledge, we can obtain the final rating.

zh-cn	在两个跨领域数据集上开展的实验表明，ATCF 算法与已有单领域和跨领域推荐算法相比 ＲMSE 降低了 3% ～ 7% ，准确率召回率增加了 8% ～ 15% 。
en-us	Two different cross-domain datasets are used for the experiments. Our efforts show that the ATCF algorithm has better recommendation performance．

zh-cn	为了高效回收环境中的声能，基于阵列式压电换能器、直管谐振腔以及能量回收电路提出了一种声能量回收系统。
en-us	In order to harvest the acoustic energy in the environment efficiently, an acoustic energy harvesting system is proposed with piezoelectric transducer array, straight tube resonator and energy harvesting circuit．

zh-cn	当声波进入直管谐振腔，管中产生谐振驻波作用于压电换能器，将声能转换为电能。
en-us	When the acoustic wave transmits into the straight tube resonator, the resonance standing wave is generated in the tube, and excites the piezo-electric transducers; then the acoustic energy is converted into electrical energy．

zh-cn	本文设计了能量回收电路并且进行理论、仿真分析实验研究了压电振子数量、声波频率、声压级对输出电压的影响，分析了负载电阻对输出电压及功率的影响。
en-us	An energy harvesting circuit is designed and analyzed theoretically with simulation. The relationship between the number of piezoelectric chips, the frequency of acoustic waves，the acoustic pressure level and the output voltage is studied with experiments. The output voltage and power are analyzed with the change of load resistance．

zh-cn	实验结果表明，该装置可回收不同频率的声能量，在声波频率为 96Hz 时发电效果最优。
en-us	Experimental results show that the proposed system can harvest the acoustic energy in different frequencies, and the harvested power achieve the maximum at the sound frequency of 96Hz．

zh-cn	当入射声压级为 110dB 时，不使用能量回收电路，输出交流电压有效值最高达 12. 9V，输出交流功率最高达到 799μW;
en-us	Without using the energy harvesting circuit, the maximum output AC voltage effective value is 12. 9V and the maximum output ACpower is 799μW at the incident acoustic pressure level of 110dB．

zh-cn	使用设计的能量回收电路，最高输出直流电压为 64. 2V，最高输出直流功率为 473μW。
en-us	When the proposed energy harvesting circuit is applied, the maximum output DC voltage is 64. 2V and the maximum output DC power is 473μW．

zh-cn	该声能量回收系统不仅可以作为声能量采集器，还能对无线传感节点等独立工作的微型电子系统供能。
en-us	The acoustic energy harvesting system can not only harvest acoustic energy, but also can power the micro electronic systems such as wireless sensor nodes．

zh-cn	为使中小功率三相逆变器实现在高开关频率下的节能运行，首次提出了一种新型三相谐振直流环节逆变器拓扑结构。
en-us	In order to realize the energy-saving operation of medium and small power three-phase inverters at high switching frequency, a novel three-phase resonant DC link inverter topology is proposed for the first time．

zh-cn	设置在逆变器直流环节的辅助电路参与换流过程时，桥臂输入端的直流环节电压能周期性形成零电压状态，主开关和辅助开关都能完成零电压软切换。
en-us	When the auxiliary circuit on the DC link of the inverter participates in the working process, the DC link voltage across the input end of the bridge arm can periodically form a zero voltage state, and the main switch and the auxiliary switch can achieve the zero-volt-age soft-switching．

zh-cn	在高频金属氧化物半导体场效应晶体管( Metal Oxide SemiconductorField Effect Transistor，MOSFET) 作为该逆变器的开关器件时，实现零电压软切换能消除 MOSFET 的容性开通损耗，有利于优化逆变器效率。
en-us	When the high frequency metal oxide semiconductor field effect transistor is used as the switching device of the inverter, the zero-voltage soft switching can eliminate the capacitive turn-on loss of the MOSFET( Metal Oxide Semi-conductor Field Effect Transistor) , which is beneficial to optimizing the efficiency of the inverter．

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

zh-cn	2. 5kW 样机上的实验结果表明开关器件都处于零电压软切换。
en-us	The experimental results on the 2. 5kW prototype show that the switching devices are all atzero voltage soft-switching．

zh-cn	因此，该拓扑结构对于研发高性能的中小功率三相逆变器具有参考价值。
en-us	Therefore, this topology has reference value for the development of high performance medium and small power three-phase inverters．

zh-cn	模板攻击分为模板刻画和密钥恢复两个阶段。
en-us	Template attack is divided into two stages: template description and key recovery.

zh-cn	针对 AES-128 算法，模板攻击为每一字节密钥构建 256个模板，当攻击者仅获得 1000 条左右的能量迹时将面临两个问题:
en-us	For AES-128 algorithm, when the attacker only got 1000 energy traces, he would face two problems:

zh-cn	一是模板刻画不具有适用性，二是无法恢复正确的密钥。
en-us	one was that the template description would notbe applicable, the other was that the correct key would not be recovered．

zh-cn	针对这些问题，本文在模板刻画阶段为 S 盒输出值的汉明重量构建 9 个模板，利用 Panda 2018 数据集提供的600 条能量迹进行建模;在密钥恢复阶段提出密钥优势叠加的方法，仅需约 10 条相同密钥加密所产生的能量迹即可有效区分正确密钥，降低了攻击的难度并提高了攻击的成功率。
en-us	To solve these problems, this paper constructed 9 templates for Hamming weight of S-box output value in the template description stage, and used 600 energy traces provided by panda 2018 data set to build the model; in the key recovery stage, this paper proposed the method of key advantage super-position, which only needed about 10 energy traces encrypted to distinguish the correct key. This method reduces the number of energy traces required in the template description stage and key recovery stage, lowered the difficulty of template attack, and improved the success rate of template attack．

zh-cn	安全多方计算是近年来国际密码学界研究的热点。
en-us	Secure multiparty computation ( SMC) has become research focus in the international cryptographic com-munity in recent years．

zh-cn	数据相等保密判定是安全多方计算的一个基本问题，在指纹匹配和关键词搜索等现实问题中有广泛的应用，因此研究数据相等保密判定有重要的理论与实际意义。
en-us	Privately determining equality of data is a basic problem in SMC. It is widely applied to finger print matching, keyword searching and so on. Studying privately determining equality of data has important theoretical and practical significance．

zh-cn	本文协议 I 利用 Paillier 加密算法高效实现了两个有理数相等的保密判定，协议 II 基于椭圆曲线同态加密算法安全高效计算多个有理数相等判定问题，并且最后给出了恶意模型下的有理数相等保密判定协议。
en-us	Protocol I which is based on the Paillier cryptosystem can privately determine equality of two rational numbers. Protocol II which is based on elliptic curve cryptosytem can privately determine equality of multiple rational numbers. Finally this paper gives the protocol for privately determining equality of rational numbers in the malicious model．

zh-cn	本文主要解决当前功率域单胞元非正交多址接入结构应用层面存在的问题。
en-us	This paper aims to solve several underlying problems arising from the application of current single-cellpower domain non-orthogonal multiple access ( NOMA) structure．

zh-cn	具体说，针对现有单胞元结构因多用户时频同传形成强干扰而导致边缘用户服务质量差的问题，利用资源正交化的组网策略构建中心用户频带独立正交、边缘用户与其频带合作共享的并行多胞元结构，并进一步利用中心用户可获取边缘用户先验知识的特征将全双工的协作通信机制引入其中，从而有效解决现有单胞元结构在译码复杂度以及用户公平性等方面存在的不足。
en-us	Specifically, to solve the problems lying in the current single-cell structure such as high decoding complexity, poor user fairness, and bad quality of service of cell edge users，this paper integrates NOMA technique with the orthogonal resource allocation strategy to present a parallel multiple-pairing operation unit, where the frequency band orthogonally allocated to each central user and the cell edge user share the total band-width by pairing with each central user to perform NOMA and a full-duplex cooperative communication strategy is further introduced to the central users for they have the priori-knowledge of the cell edge user．

zh-cn	仿真结果证实了所提方案的有效性。
en-us	Simulation results verify the validity of the proposed scheme．

zh-cn	近年来基于深度学习的图像修复方法相比于传统方法，表现出明显优势，前者能更好的生成视觉上合理的图像结构和纹理。
en-us	In recent years, deep learning based methods have shown preferable results for the task of inpainting corrupted images．

zh-cn	但现有的标准卷积神经网络方法，通常会造成颜色差异过大和图像纹理缺失与失真的问题。
en-us	However, the existing standard convolutional neural network approaches often cause problems with excessive color discrepancy, image texture loss and distortion．

zh-cn	本文提出了一种新型图像修复深度网络模型，该模型由两个相互独立的生成对抗式网络模块组成。
en-us	A deep network based image inpainting model is proposed in this paper, consisting of two generative adversarial network modules.

zh-cn	其中，图像修复网络模块旨在解决图像缺失区域的修复问题，其生成器基于部分卷积网络;图像优化网络模块旨在解决修复后图像存在局部色差的问题，其生成器基于深度残差网络。
en-us	One of the modules is used to inpaint the missing area of the image, where the generator is constituted with partial convolutions. The other module is the image optimization network, which is applied to solve the problem of local chromatic aberration after image restoration, and in which the generator is originated from the depth residual network．

zh-cn	通过两个网络模块的协同作用，图像的视觉效果与图像质量得到提高。
en-us	These two modules cooperated to improve the visual effect and image quality of inpainted images.

zh-cn	与其他先进方法进行定性和定量比较的实验结果表明，本文提出的方法在图像修复质量上表现更好。
en-us	Using MOS, SSIM and PSＲN as the evaluation criteria, the experimental results of qualitative and quantitative comparisons with other state-of-the-art methods have shown that the proposed model performed better.

zh-cn	密文策略属性加密方案适用于云环境中密文数据的访问控制。
en-us	Ciphertext-policy attribute-based encryption scheme is suitable for access control of ciphertext data incloud environment．

zh-cn	已有的支持算术张成程序的属性加密方案多是密钥访问策略的方案，且公开参数规模较大。
en-us	Most of the existing attribute-based encryption schemes supporting arithmetic span programs are key-policy schemes with large public parameter scale．

zh-cn	本文利用双对偶向量空间( Dual Pair Vector Space，DPVS) 技术，提出了一个公开参数长度固定、支持算术张成程序的密文策略属性加密方案。
en-us	By exploiting the double Dual Pair Vector Space( DPVS) technique, aciphertext-policy attribute-based encryption scheme which has a fixed length of public parameters and supports arithmetic span programs is proposed in this paper．

zh-cn	在新方案中，将密文相关的访问控制向量与随机矩阵结合，密钥相关的属性分量与熵扩张引理中的公开参量结合，设计方法对应了熵扩张引理中给出的密文和密钥分量的形式。
en-us	In this scheme, the ciphertext-related access control vector is combined with the random matrix, and the key-related attribute components are combined with the public parameters in the entropy expansion Lemma. The method is designed according to the form of ciphertext and key components given in the entropy expansion Lemma．

zh-cn	最后，基于素数阶双线性熵扩张引理和 k-Lin 困难假设，证明了该方案具有适应安全性。
en-us	Finally, the adaptive security of the scheme is proved based on the prime order bilinear entropy extension Lemmaand k-Lin difficult assumption．

zh-cn	新方案与已有支持算术张成程序的属性加密方案相比，实现了密文访问策略、公开参数长度固定且满足适应安全性。
en-us	Compared with the existing attribute-based encryption schemes which support arithmetic span programs, the new scheme has the advantages of ciphertext access policy, fixed length of public parameters and adaptive security．

zh-cn	针对传统控制算法在局部遮蔽条件下无法持续准确地跟踪最大输出功率点，提出一种基于改进羊群算法的光伏系统最大功率跟踪策略。
en-us	Aiming at the fact that traditional control algorithm cannot continuously and accurately track the maximum power point under the condition of partial shading, a strategy for photovoltaic systems based on improved sheep behaviors optimization was proposed．

zh-cn	在羊群算法中引入扰动算子、反向种群和自适应放牧概率，以增强算法的局部开发能力，提高算法的寻优精度。
en-us	Disturbance operator, reverse position and adaptive factor were introduced in sheep behaviors optimization to enhance the local development ability, and improve the optimization accuracy of the algorithm．

zh-cn	均匀光照、局部遮蔽和变照度 3 种条件下的实验结果表明，改进羊群算法在不同环境条件下均能持续稳定地跟踪最大功率点，在收敛时间和收敛精度上均有较大优势，验证了该算法在最大功率点跟踪控制中的可行性。
en-us	The experimental results under the conditions of uniform illumination, partial shading and variable irradiation show that the improved sheep behaviors optimization can steadily track the maximum power point under different environmental conditions, and the algorithm has greater advantages in convergence time and convergence accuracy, verifying the feasibility of this algorithm in the maximum power point tracking control．

zh-cn	本文设计了一种适用于电机矢量控制算法的数字信号处理系统的微架构定义，包括其指令集定义、存储器模型以及与主 CPU 的交互模式。
en-us	A fully customized digital signal processor for motor field-oriented control is proposed． The instruction set, memory model and interaction method with main-CPU is discussed．

zh-cn	该设计具有通过固定部分多操作数有效缩减指令编码长度提高代码密度以及后台执行多周期指令提高 ALU 并行效率的显著优点。
en-us	Fixing some of the operands in multi-op instructions al-lows a reduced instruction encoding length and therefore an economical code size. Background execution improves arithmetic and logic unit( ALU) computation parallelism．

zh-cn	文中给出了典型的 FOC 控制算法在 DSP( Digital Signal Processor)指令集上实现的指令周期数，也给出了对应架构的电路实现情况，最终以 AＲM COＲTEX-M0 及几款主流 DSP 作为比较基线，通过实测实验数据证明了体系结构的高能效比，以较为有限的电路面积代价，极大提高了集成 DSP 的嵌入式系统的运行效率。
en-us	In this article, the instruction cycles of typical field-oriented control ( FOC) algorithm is shown. The silicon implementation of the proposed digital signal processor ( DSP) is provided. Taken the commonly used AＲM Cortex-M0 processor and several main-stream DSPs as the comparison baseline, the experiment results demonstrate that the micro architecture and circuit implementation of this DSP is energy-efficient and competitive． This approach improves the processing performance at the cost of limited circuit resource．

zh-cn	近年来，深度学习越来越关注噪声抑制的研究。
en-us	In recent years, more and more attention has been paid to the study and research of noise suppression．

zh-cn	本文提出了一种噪声抑制深度学习策略，该策略通过构建噪声无感网络( Noise Unaware Network，NUN) 和可信度估计单元( Ｒeliability Estimation Gate，ＲEG) 来处理训练数据含有噪声的情况。
en-us	This paper proposes a noise suppression deep learning strategy that deals with the presence of noise in training data by constructing a Noise Unaware Network ( NUN) and Ｒeliability Estimation Gate ( ＲEG) ．

zh-cn	通过对每个样本的可信度进行评估，调节其在训练时的权重，从而降低标签噪声对网络训练的影响。
en-us	By evaluating the reliability of each sampleand adjusting its weight during training, the influence of label noise on network training can be reduced．

zh-cn	随着模型的迭代更新，标签可信数据的权重将会逐渐变大，而噪声数据的权重将会被抑制。
en-us	As the model is up-dated iteratively, the weight of clean data will gradually increase, while the weight of noise data will be suppressed．

zh-cn	本文通过在多个标注数据集上的实验验证了所提出的噪声抑制深度学习策略的有效性。
en-us	Experiments on multiple benchmark data sets demonstrate the effectiveness of the proposed deep learning strategy for noise suppression．

zh-cn	局部特征尺度分解( LCD) 是为克服经验模态分解( EMD) 中均值曲线构造的不足而提出的一种自适应信号分解方法，已被应用于机械故障诊断领域。
en-us	Local characteristic-scale decomposition ( LCD) is an adaptive signal decomposition method proposed to overcome the shortcomings of mean curve construction in empirical mode decomposition ( EMD) and has been applied to mechanical fault diagnosis．

zh-cn	但 LCD 存在与 EMD 类似的模态混叠问题，为此，基于均匀相位差掩膜信号构造，提出了自适应掩膜信号集成局部特征尺度分解( AMSELCD) ，该方法不仅能够将一个复杂信号自适应地分解为若干个本征模态函数和一个剩余项之和，而且能够有效地解决 LCD 的模态混叠现象。
en-us	However, LCD also has the mode mixing problem that exists in EMD. Based on the construction of masking signal with uniform phase difference, the adaptive mask signal ensemble local characteristic-scale decomposition ( AMSELCD) is proposed in this paper to adaptively decompose a complex signal into several intrinsic mode functions anda residue, which can effectively alleviate the mode mixing phenomenon of LCD．

zh-cn	通过仿真信号分析，将 AM-SELCD 与现有多种抑制模态分解方法进行了对比，结果表明了所提方法的有效性和优越性。
en-us	AMSELCD is compared with various existing methods for restraining mode mixing through simulation signal analysis and the results show the effectiveness and superiority of the proposed method．

zh-cn	最后，针对滚动轴承和转子碰摩故障振动信号的调制特征，将所提 AMSELCD 方法应用于转子碰摩和滚动轴承的故障诊断，对比和实验分析结果进一步验证了所提方法的有效性和优越性。
en-us	Finally, aiming at the modulation characteristics of fault signals of rolling bearing and rotorrubbing, the proposed AMSELCD method is applied to the fault diagnosis of rotor rubbing and rolling bearing, and the experimental comparison analysis results further verify the effectiveness and superiority of AMSELCD．

zh-cn	云接入网(Cloud Radio Access Network，C-RAN)中有限带宽的前程链路无法有效应对高铁场景下乘客大量集中式的网络资源请求。
en-us	The cloud radio access network (C-RAN) with limited-capacity fronthauls cannot cope with the large-scale centralized passenger resource requests efficiently in high-speed railway (HSR) scenarios．

zh-cn	针对这一不足，本文对 C-RAN 架构中的射频拉远头(Remote Radio Head，RRH)配置缓存设备使其具有存储转发资源的功能，利用列车运行信息可预知的先验条件，针对乘客数据通信提出基于缓存机制的预下载方案以提升网络系统的吞吐量。
en-us	As such, this paper adds a cache device to the remote radio head (RRH) to enable the function of storing and forwarding resources. Moreover, a cache-based pre-downloading scheme for passenger data communication is proposed to improve the network throughput by using the predictive information of the train．

zh-cn	仿真结果表明，在前程链路拥挤情况下，基于缓存的预下载方案可明显提升资源的平均传输速率和高铁通信网络的吞吐量，进而提升了乘客的在途通信服务质量(Quality of Service，QoS)。
en-us	The simulation results show that the proposed scheme can significantly boost the average transmission rate of resources, enhance the throughput of HSR communication network and improve passengers in-jour-ney communication quality of service (QoS) when the fronthaul link is congested．

zh-cn	端到端的驾驶决策是无人驾驶领域的研究热点。
en-us	The end-to-end driving decision making is a research hots pot in the field of autonomous driving．

zh-cn	本文基于 DDPG(Deep Deterministic Policy Gradient)的深度强化学习算法对连续型动作输出的端到端驾驶决策展开研究。
en-us	This paper studies the end-to-end driving decision of continuous action output based on DDPG (Deep Deterministic Policy Gradient) deep reinforcement learning algorithm．

zh-cn	首先建立基于 DDPG 算法的端到端决策控制模型，模型根据连续获取的感知信息(如车辆转角，车辆速度，道路距离等)作为输入状态，输出车辆驾驶动作(加速，刹车，转向)的连续型控制量。
en-us	First, an end-to-end decision-making control model based on DDPG algorithm is established. The model outputs the continuous control quantity of vehicle driving action (acceleration, braking, steering) according to the continuously acquired perception information (such as vehicle angle, vehicle speed, road distance, etc.) as theinput state．

zh-cn	然后在 TORCS(The Open Racing Car Simulator)平台下不同的行驶环境中进行训练并验证，结果表明该模型可以实现端到端的无人驾驶决策。
en-us	Then, the model is trained and verified in different driving environments on the platform of TORCS (The OpenRacing Car Simulator). The results show that the model can realize the end-to-end decision-making of autonomous driving．

zh-cn	最后与离散型动作输出的 DQN(Deep Q-learning Network)模型进行对比分析，实验结果表明 DDPG 决策模型具有更优越的决策控制效果。
en-us	At last, it is compared with DQN (Deep Q-Learning Network) model of discrete action output. The experimental results show that DDPG model has better decision control effect．

zh-cn	代理重加密能够实现解密权限的转换，而鲁棒门限代理重加密(Threshold Proxy Re-Encryption，TPRE)不仅支持安全灵活的转化控制，而且支持转化密文的合法性验证。
en-us	Proxy re-encryption can achieve decryption permission conversion, while robust threshold proxy re-encryp-tion (TPRE)supports not only secure and flexible conversion control, but also the validity verification of converted cipher-text．

zh-cn	本文利用理想格上工具构造了一种 TPRE 方案，采用 Shamir 秘密共享实现门限控制，采用格上同态签名技术实现鲁棒性，可完全抗量子攻击。
en-us	An ideal lattices based TPRE was proposed achieving threshold control by Shamir secret sharing and robustness by ho-momorphic signature technique, which could resist to quantum analysis completely．

zh-cn	新方案与标准格上方案相比，密文尺寸小、密钥份额短、计算速度快;
en-us	The new scheme enjoys small ciphertext size, short key share and high calculation speed compared with the similar schemes from standard lattices．

zh-cn	基于 PRE 和 TPRE 安全模型的差异，证明对 TPRE 的攻击多项式时间内可转化为对基础 PRE 方案的攻击，安全性可规约为 R-LWE(Learning With Errors over Ring)困难假设;新方案适用于在去中心化环境中实现密文访问控制，可用于基于区块链网络的文件共享和多域网络快速互联等场景。
en-us	Based on the differences between PRE and TPRE security models, attacks on our TPRE can be transformed into corresponding attacks on potential PRE scheme in polynomial time，therefore its security can be reduced to R-LWE (Learning With Errors over Ring) difficult assumption. It provides encryption and cryptographic access control in a decentralized environment, and widely used in scenarios such as file sharing based on blockchain networks and rapid interconnection of multi-domain networks．

zh-cn	针对辐射源识别中的特征稳定性不高和低信噪比环境适应性不足等问题，提出了一种基于二次时频分布、核协同表示与鉴别投影的识别方法。
en-us	Aiming at the problems of low feature stability in emitter signal recognition and poor adaptability to low signal-to-noise(SNR)environment, a recognition method based on secondary time-frequency distribution, kernel collaborative representation and discriminative projection (KCRDP) was proposed．

zh-cn	首先，通过时频变换、稀疏域降噪和二次特征提取的预处理算法降低噪声干扰和特征冗余，以获取高稳定性的二次时频分布特征;
en-us	First, the pre-processing algorithms of time-frequency transform, sparse domain noise reduction, and secondary feature extraction are used to reduce noise interference and feature redundancy, and secondary time-frequency distribution features with high stability were obtained．

zh-cn	然后，采用核协同表示和鉴别投影思想进行降维学习和字典学习，以提升数据低维表征和类间鉴别能力;
en-us	Then, the kernel collaborative representation and discriminative projection ideas are used to complete the dimensionality reduction learning and dictionary learning to improve the low-dimensional representation and inter-class discrimination capabilities of the data．

zh-cn	最后，通过离线训练完成系统优化并用于分类验证。
en-us	Finally, the system is optimized through offline training and used for classification verification．

zh-cn	仿真结果表明，二次时频分布特征具备较高稳定性，识别方法具备较强鲁棒性、时效性和适应性;
en-us	Simulation results show that the secondary time-frequency distribution feature has high stability, and the recognition method has strong robustness, timeliness and adaptability．

zh-cn	当信噪比为 － 10dB 时，该方法对 8 类辐射源信号的整体平均识别率达到 96. 88% 。
en-us	When the SNR is － 10dB，the overall average recognition rate of the eight signals reaches 96. 88% ．

zh-cn	针对施工现场环境复杂，难以高效管理的问题． 提出了基于工地场景的深度学习目标跟踪算法，辅助施工顺利进行。
en-us	Construction site is difficult to be effectively managed owing to its complex environment. A deep learning target tracking algorithm based on construction site scene is proposed to assist the construction progress．

zh-cn	根据工地现场目标的连续性，构建增强群跟踪器，提升目标成功跟踪的概率。
en-us	Firstly, according to the continuity of the target in the site scene, the enhanced group tracker is constructed to improve the successful probability of target tracking．

zh-cn	然后从滑动窗口、StackedDenoising Auto Encoder(SDAE)和 Support Vector Machine(SVM)三方面组建深度检测器。
en-us	Then, the depth detector is constructed with sliding window, stacked denoising auto encoder (SDAE) and support vector machine (SVM)．

zh-cn	在滑动窗口方面:从梯度角度建立模型实现窗口自适应。
en-us	Sliding window: a model is built from the gradient angle to realize window adaption．

zh-cn	在 SDAE 算法方面:构建反向算法微调网络参数。
en-us	SDAE algorithm: the reverse algorithm is built to fine-tune network parameters．

zh-cn	优化 SVM 算法降低跟踪时目标漂移和跟踪失败的概率，最终实现目标高精度跟踪。
en-us	Optimized SVM algorithm reduces the probability of target drift and tracking failure. Finally, high precision tracking is achieved．

zh-cn	通过实验表明本文提出的算法可有效对目标进行跟踪，实现动态管理。
en-us	Experiments show that the proposed algorithm can track the target effectively and realize dynamic management．

zh-cn	传统的卷积神经网络使用池化层对信息进行降维操作，通常会造成信息损失，从而影响网络的表达能力。
en-us	Traditional convolutional neural network uses pooling layer to reduce the dimension of feature, which usually results in information loss, thus affecting the expression ability of the network．

zh-cn	针对这一问题，使用参数池化层(Parameterized Pooling Layer)替代传统卷积神经网络中的池化层，提出参数池化卷积神经网络(Parameterized Pooling CNN，PPCNN)。
en-us	To solve this problem, the parameterized pooling layer is used to replace the pooling layer in the conventional convolutional neural network, and the parameterized pooling CNN (PPCNN) is proposed．

zh-cn	参数池化层在仅仅增加了少量网络参数的情况下，最大可能的保留了卷积神经网络中希望被保留下来的特征;
en-us	In the case that only a few network parameters are added in the parameter pooling lay-er, it is possible to retain the desired features．

zh-cn	同时，由于增加了池化层前向传播的信息，从而影响了反向传播算法中权值的更新，网络收敛速度更快;
en-us	At the same time, the forward propagation information of the pooling layer is added, which affects the update of weight in the back propagation algorithm, and the network convergence speed is faster．

zh-cn	实验结果表明，PPCNN 模型与传统卷积神经网络模型以及部分改进模型相比，参数池化卷积神经网络模型是有效的。
en-us	Compared with the conventional convolutional neural network model and some improved models, experimental results showthat the PPCNN model is effective．

zh-cn	虽然真彩色实时全息显示技术在近几年已经取得了阶段性的发展，如何实现符合人眼视觉条件的理想三维显示是一项具有很有挑战性的工作。
en-us	Although real-time holographic display technology has been developed in recent years，how to develop an ideal 3D (three dimension) display that meets human visual condition is always a challenging task．

zh-cn	本文提出了基于随机场的局部平均采样理论，并借助光子波函数的四维傅里叶变换，搭建了以体像素和空间谱为基本抽样单位的三维空间信息的全息抽样框架，并进一步通过实例将这一新的数学模型成功应用于三维空间信息的离散采样、完整恢复与全息显示。
en-us	Based on the four-dimensional Fourier transforms of the wave function of photons, a holographic sampling theory is proposed for the information of a three-dimensional space with the sampling unit by hoxel and spectrum (spatial spectrum). It is successfully applied to the practice of three dimensional information processing such as discrete acquisition, integral restoration and holographic display of a three dimensional space.

zh-cn	最后借助商用 4K 平面显示器，结合小透镜阵列和全息功能屏，成功演示了人眼可分辨的典型完美全息三维场。
en-us	Based on a commercial 4K flat-panel displayer and the microlens arrays combined with a holo-graphic functional screen, the perfect holographic three-dimensional displays for human vision is demonstrated．

zh-cn	目前的音乐推荐方法只能挖掘用户与歌曲之间的一般性关系，无法区分不同用户对同一首歌曲的差异性偏好。
en-us	Current music recommendation models can mine the general preference between users and music, which are unable to distinguish the differential preference of different users towards the same song．

zh-cn	为此，本文提出了基于多层注意力表示的音乐推荐模型，利用用户属性信息和歌曲内容信息从多维度学习歌曲表征，挖掘用户与歌曲之间的偏好关系。
en-us	Therefore, we propose a hierarchical attention representation model (HARM) to improve the music recommendation quality. HARM utilizes attributes of users and contents of music to learn music representation from the perspective of multi-dimension and mine the preference relationship between user and music．

zh-cn	为了区分用户对歌曲多域特征的差异性偏好，设计了用户特征依赖的注意力网络;为了区分不同历史行为对用户偏好的差异性，挖掘用户行为的时序依赖关系，设计了歌曲依赖的注意力网络。
en-us	In order to mine users' differential preference on music's multi-field feature, a user feature-dependent attention network is designed. In addition, in order to mine the impacts of different historical behavior on user preference and learn sequential dependency of user's, a music-dependent attention network is designed．

zh-cn	最后，利用 Softmax 函数计算用户对候选歌曲的偏好分布并产生推荐。
en-us	Finally, recommendation is generated by using a softmax function to calculate the preference distribution of users on candidate songs．

zh-cn	在 30Music 和 MIGU 数据集上的实验结果表明，相比目前的推荐模型，本文提出的模型在 Recall 和 MRR 均得到了显著提升。
en-us	The experimental results on 30Music and MIGU datasets shows that, comparing with the existent recommendation models, HARM can gain significant improvement on Recall and MRR．

zh-cn	传统的 PLL(Phase Locked Loop)电路受限于环路参数的选定，其相位噪声与抖动特性已经难以满足大阵列、高精度 TDC(Time-to-Digital Converter)的应用需求。
en-us	The traditional PLL (Phase Locked Loop) circuit is limited by the selection of loop parameters and its phase noise and jitter characteristics have been difficult to meet the application requirements of large array and high precision TDC (Time-to-Digital Converter)．

zh-cn	本文致力于 PLL 环路带宽的优化选取，采取 TSMC 0. 35μmCMOS 工艺实现了一款应用于 TDC 的具有低抖动、低噪声特性的锁相环(Phase Locked Loop，PLL)电路，芯片面积约为0. 745mm × 0.368mm。
en-us	This paper devotes to the optimal selection of PLL loop bandwidth and a PLL circuit withlow noise and low jitter characteristics is designed. The chip area is approximately 0.745mm × 0. 368mm．

zh-cn	实际测试结果表明，在外部信号源输入 15. 625MHz 时钟信号的条件下，PLL 输出频率可锁定在250. 0007MHz，频率偏差为 0. 7kHz，输出时钟占空比为 51. 59% ，相位噪声为 114.66dBc/Hz@ 1MHz，均方根抖动为4. 3ps，峰峰值抖动为 32. 2ps。
en-us	The actual test results of the chip show that under the condition of external signal source input 15. 625MHz clock signal and the PLL outputfrequency can be locked at 250.0007MHz. The frequency deviation is 0. 7kHz. The duty cycle of the output clock is 51. 59% and the phase noise is -114. 66dBc/Hz@ 1MHz. The RMS jitter of the clock is 4. 3ps and the peak-to-peak jitter is 32. 2ps．

zh-cn	锁相环的相位噪声显著降低，输出时钟的抖动特性明显优化，可满足高精度阵列 TDC 的应用需要。
en-us	The phase noise of the phase-locked loop is significantly reduced and the jitter characteristics of the output clock are significantly optimized, which can basically meet the application needs of the array TDC．

zh-cn	针对传统天线测量数据处理中粗差剔除和定权不合理问题，提出了一种结合粗差剔除和一次范数最小法定权的天线反射面多仰角测量数据处理方法。
en-us	Aiming at the unreasonable problem of gross error elimination and weight determination in traditional antenna measurement data processing, a method for multi-elevation antenna measurement data processing is proposed, which combines gross error elimination and weighting way of L1-norm least method．

zh-cn	首先，根据反射面自重变形的特点，通过构造统计量对粗差点予以剔除，提高了测量数据的可靠性;其次，顾及测量点的变形特点，引入了抗差估计中的一次范数最小法对不同变形点进行定权，解决了等权最小二乘拟合的“虚假面型”问题。
en-us	Firstly, according to the characteristics of reflectorgravity deformation, the gross error was eliminated by constructing statistics, which improved the reliability of measurement data． Secondly, referring to the deformation characteristics of measurement points, the L1-norm least method in robust estimation was introduced to determine the weights of different deformation points, so as to solve the "false fitting surface" problem of equal-weight least square fitting．

zh-cn	经过某口径 13m 天线反射面测量数据的实例计算，对比其他方法，新方法拟合结果能够合理、准确地反映出反射面的实际变形偏差，更适用于天线反射面自重变形数据的处理。
en-us	Through the calculation of measurement data for a Φ13m antenna reflector, compared with other methods, the fitting results of this method can reasonably and accurately reflect the actual reflector deformation deviation, and this method is more suitable for the data processing of antenna reflector gravity deformation．

zh-cn	图表示社区检测使用图表示方法学习网络节点的向量表示，然后对节点向量进行聚类获得社团结构。
en-us	Community detection based on graph representation learn nodes' vector representation，and then communities are obtained by clustering algorithm．

zh-cn	然而经典的聚类算法在聚类节点向量时，得到的结果往往不能够体现社区的特性。
en-us	However, when classical clustering algorithms often fail to reflect the characteristics of communities．

zh-cn	提出一种新型的聚类覆盖算法，将聚类所得覆盖视为社区划分结果。
en-us	Cluster cover algorithm (CCL) is proposed. CCL clusters nodes' vector into covers. A cover is viewed as a community．

zh-cn	首先在节点向量空间中计算得到每个簇的覆盖中心;
en-us	Firstly, the cover center of each cluster is calculated in the node vector space．

zh-cn	然后根据覆盖中心到同类样本的平均距离作为覆盖半径，在向量空间中形成覆盖;
en-us	Then, according to the average distance among the cover center and the same class samples as the cover radius, a cover is formed in the vector space．

zh-cn	最后对未覆盖的点做二次划分得到社区结构。
en-us	Finally, the nodes outside the covers are grouped into suitable cover to obtain community structure．

zh-cn	在多个有真实和无真实标签网络的实验表明，所提出的算法可以得到更合理的社区结果。
en-us	Experiments with real and non-real tag networks show that the algorithm can get more reasonable community results．

zh-cn	网络负面新闻识别在网络舆情监测中具有重要的研究意义。
en-us	Identification of network negative news has important research significance in network public opinion monitoring．

zh-cn	针对当前海量数据下负面新闻难以检测的问题，提出了一种基于情感计算与层次化多头注意力机制相结合的负面新闻识别方法。
en-us	Aiming at the problem that negative news is difficult to detect under the current mass data, this paper proposes a method of negative news recognition based on emotional computing and hierarchical multi-head attention mechanism．

zh-cn	首先，从新闻文本中采用 TF-IDF(Term Frequeney-Inverse Document Frquency)和语义相似度算法构建负面新闻情感词库;
en-us	Firstly, this paper uses TFIDF (Term Frequeney-Inverse Document Frquency) and emotional similarity algorithm to construct negative news emotional lexicon from news texts．

zh-cn	其次，采用情感倾向计算方法计算负面新闻情感词的情感倾向度;
en-us	Secondly, this paper uses the method of emotional tendency calculation to calculate the degree of emotional tendency of negative news affective words．

zh-cn	最后，将词语和词语的情感倾向度进行向量化表示，并采用层次化多头注意力机制进行正负面新闻的判定。
en-us	Finally, the model vectorizes the emotional tendencies of words and expressions, and use hierarchical multi-attention model to judge the positive and negative emotions of news．

zh-cn	情感计算和多头注意力机制的引入，对于捕获文本中的情感词语提供了很大帮助。
en-us	The introduction of emotional computing and multi-attention mechanism is of great help in capturing emotional words in texts．

zh-cn	最终本文基于真实的网络新闻文本数据与现有的多种算法进行对比，证明了该模型具有较好的识别效果，相比于 Han 模型和 LSTM 模型分别提高了 0. 67% 和 3. 29% 。
en-us	Finally, this paper compares the real network news text data with many existing algorithms, and proves that the model has a good recognition effect. Compared with the Han model and LSTM model, it is increased by 0. 67% and 3. 29% respectively．

zh-cn	为解决波达方向(Direction Of Arrival，DOA)估计方法在阵元失效条件下性能下降甚至失效的问题，本文提出一种基于 Toeplitz 协方差矩阵重构的 DOA 估计方法。
en-us	Array sensors failure can significantly deteriorate the performance of direction of arrival (DOA) estimation. To address this problem, an algorithm via covariance matrix reconstruction is proposed．

zh-cn	首先，提出了一种失效阵元检测方法，并根据阵列的鲁棒性将失效阵元分为冗余阵元失效和非冗余阵元失效两种情况。
en-us	Firstly, we devise a diagnosis method to detect the failure sensors. Based on the robustness of the array, the sensor failure scenarios are divided into redundant sensor failures and non-redundant sensor failures．

zh-cn	然后，分别针对两种失效场景提出相应 DOA 估计方法:一是冗余阵元失效，利用阵列冗余度，结合差联合阵列对失效阵元进行填充;
en-us	Then, the corresponding DOA estimation method is adopted for two failure scenarios. For redundant sensor failures, the virtual sensors of the difference coarray can be used to occupy the positions of the failed physical sensors by utilizing the array redundancy．

zh-cn	二是非冗余阵元失效，利用阵列冗余度进行填充后仍存在空洞，结合矩阵填充理论，用迹范数代替秩范数进行凸松弛以恢复协方差矩阵，进而实现对虚拟阵元空洞的填充，恢复阵列自由度。
en-us	For non-redundant sensor failures, the virtual sensors inthe difference coarray will have holes. Employing the matrix completion theory, we use trace norm instead of the rank norm for convex relaxation to recover the matrix, thereby realizing the filling of the virtual sensor holes in the difference coarray and restoring the DOFs．

zh-cn	相对于稀疏类算法，有效消除了模型失配的影响。
en-us	Compared with the sparsity-based methods, the proposed method can eliminate the effect of the off-grid．

zh-cn	最后，基于子空间方法进行 DOA 估计。
en-us	Finally, the subspace method is employed for DOA estimation.

zh-cn	理论和仿真结果表明，相对于现有方法，本文方法有效避免了阵元失效的影响，提高了估计精度。
en-us	Theoretical analysis and simulation results show that the proposed methods can alleviate the effect of array sensor failure and improve the estimation performance．

zh-cn	伴随电视频道的不断增加，推荐系统在直播电视领域应用成为研究热点。
en-us	With the increase of TV channels, the application of recommender systems in the field of live TV has become a research hotspot．

zh-cn	然而，直播电视独特的播放和收视方式使得传统的 VOD(Video On Demand)推荐系统无法直接应用，已有的推荐频道的方法不关注正在播出的节目状态从而影响了推荐准确率，而推荐节目的方法难以应对节目冷启动。
en-us	However, a traditional VOD (Video on Demand) recommender system is unable to be directly applied in live TV because of its special way of broadcasting and watching, and the existing methods of recommending channels do not pay attention to status of TV shows being broadcasted, which affects recommendation accuracy, and the methods of recommending programs are difficult to handle cold start of TV shows．

zh-cn	为此，本文提出了一种融合频道推荐和节目推荐的评分预测算法 OFAP(Over the First by Adding Preference)。
en-us	Therefore, this paper proposes a rating prediction algorithm by fusing TV channel recommendation method and TV program recommendation method OFAP (Over the Firstby Adding Preference)．

zh-cn	首先，利用聚类方法对每个用户实现差异性的收视时段划分，构建他们的频道-时段偏好矩阵和预推荐评分权重矩阵;
en-us	Firstly, we construct different channel-time preference matrix and rating weight matrix of pre-recommendation for each user by clustering their viewing logs．

zh-cn	其次，提出一个评分替代策略使得已有的推荐节目的算法能够应对节目冷启动，从而实现预推荐;最后，通过融合用户偏好、预推荐评分权重与预推荐结果，构建评分预测函数，将预推荐算法的评分预测结果作为评分预测函数的训练样本。
en-us	Secondly, we propose a rating strategy to alleviate the cold-start problem of TV programs for existing program recommendation algorithms, and we adopt one of them to perform pre-recommendation. Finally, we combine user's preference, rating weight and rating of pre-recommendation to construct a prediction function, which is trained with the results of pre-recommendation．

zh-cn	实验表明，采用 Precision@ N 和 Recall@ N 作为评价标准，本文所提方法 OFAP 明显优于对比算法。
en-us	Experiments on industrial datasets show that the proposed model OFAP significantly outperforms baseline algorithms when Precision@ N and Recall@ N are adopted as criterias．

zh-cn	随着技术的发展，信息安全受到了很大挑战。
en-us	With the development of technology, information security has been greatly challenged．

zh-cn	物理不可克隆函数(Physically Unclonable Function，PUF)电路是一种新型的密钥生成电路，阻变存储器(Ｒesistive Ｒandom Access Memory，ＲＲAM)可以为其提供物理随机熵源，这使得 PUF 在物理上不可被攻击。
en-us	The Physical Unclon-able Function (PUF) circuit is a new type of key generation circuit. Resistive Ｒandom Access Memory(ＲＲAM)can provide asource of physical random entropy, which makes the PUF physically impossible be attacked．

zh-cn	但目前在基于 ＲＲAM 的 PUF 设计方案中，ＲＲAM 延时单元的测试响应对(ChallengeＲesponse Pair，CＲP)效率并不够高。
en-us	However, in the ＲＲAM-based PUF design, the ＲＲAM delay unit's test response pair (Challenge Ｒesponse Pair, CＲP) efficiency is not high enough．

zh-cn	本文提出一种基于 ＲＲAM 延时单元的 PUF 结构，延时单元将 ＲＲAM 的阻值输出到反向器中，形成脉冲的延迟，最后通过判决器判断两路脉冲达到顺序并编码为“0”和“1”，这就是 PUF 的输出位。
en-us	In this paper, a PUF structure based on ＲＲAM delay unit is proposed. The delay unit outputs the resistance of the ＲＲAM to the inverter toform a delay of the pulse. Finally，the determiner determines that the two pulses are in sequence and is coded as“0”and“1”, this is the output bit of the PUF．

zh-cn	基于ＲＲAM 延时单元，本文设计了 8 位、16 位、32 位、64 位 PUF，这些 PUF 在保证良好的随机性、稳定性、唯一性的前提下，大大提高了 PUF 的 ＲＲAM 单元效率。
en-us	Based on the ＲＲAM delay unit, this paper designs 8-bit, 16-bit, 32-bit, 64-bit PUF. These PUFs greatly improve the efficiency of PUF ＲＲAM cells under the premise of ensuring good randomness, stability and uniqueness．

zh-cn	实验结果表明:该设计能够有效的提高 ＲＲAM 使用效率，使得 PUF 能够更好地防止外界的攻击。
en-us	The experimental results show that the design can effectively improve the efficiency of ＲＲAM, so that PUF can preventexternal attacks better．

zh-cn	针对复杂背景下显著性检测方法不能够有效地抑制背景，进而准确地检测目标这一问题，提出了超像素内容感知先验的多尺度贝叶斯显著性检测方法。
en-us	Existing saliency detection methods can not suppress the background effectively and detect the salient object accurately in complex background, a method of superpixel content-aware priors based multi-scale Bayesian saliency detection is proposed．

zh-cn	首先，将目标图像分割为多尺度的超像素图，在每个尺度上引入内容感知的对比度先验、中心位置先验、边界连通背景先验来计算单一尺度上的目标显著值;
en-us	Firstly, the image containing object is segmented into multi-scale superpixel maps, then the content-aware priors ofcontrast priors, center position priors, and boundary connected background priors are introduced on each scale to calculate the salient object values on a single scale;

zh-cn	其次，融合多个尺度的内容感知先验显著值生成一个粗略的显著图;然后，将粗略显著图值作为先验概率，根据颜色直方图和凸包中心先验计算观测似然概率，再使用多尺度贝叶斯模型来获取最终显著目标;
en-us	Secondly, the content-aware priors values of the various scales generate a rough saliency map; Thirdly, the rough saliency map value is used as the prior probability, and the likelihood is calculated according to the color histogram and the convex hull center, using the multi-scale Bayesian model to obtain the final salient object ;

zh-cn	最后，使用了 3 个公开的数据集、5 种评估指标、7 种现有的方法进行对比实验，结果表明本文方法在显著性目标检测方面具有更好的表现。
en-us	Finally, three public data sets, five evaluation indicators, and seven existing methods are used for comparative experiments. The experiments show that the method has better performance in the detection of salient objects．

zh-cn	微波毫米波芯片非破坏高分辨率近场分布成像对高频射频芯片的功能和失效分析至关重要。
en-us	The nondestructive and high-resolution near-field distribution imaging of microwave and millimeter wavechips is very important for the function and failure analysis of ＲF chips．

zh-cn	本实验基于金刚石 NV(Nitrogen-Vacancy)色心这一独特的量子体系，选取直径约为 14μm 的金刚石样品，将其粘附于 20μm 直径的光纤锥形尖端，制备成高分辨、非破坏、微型化的探针，通过分析 NV 色心在微波场变化中的基态自旋演化规律，采用全光学的方法，一次性成像，获得芯片表面整体场分布。
en-us	This experiment is based on the unique quantum system of diamond NV(nitrogen-vacancy)color center. A diamond sample with a diameter of about 14μm is selected and adheredto the tapered tip of a 20μm fiber. A high-resolution, non-destructive and miniaturized probe is prepared by analyzing theground state spin evolution law of NV color center in the change of microwave field, and the all optical method is used. The whole field distribution on the chip surface is obtained by imaging．

zh-cn	本文给出了氮化镓高电子迁移率晶体管的近场分布成像图，拟合出光学探测磁共振(Optically Detected Magnetic Ｒesonance，ODMＲ)谱图以及 Ｒabi 谱图，并对成像结果进行了分析。
en-us	In this paper, the near-field distribution image of GaN high electron mobility transistor is given. The ODMＲ spectrum and Ｒabi spectrum are fitted, and the imaging results are analyzed．

zh-cn	这一系统具有高效、高分辨、高灵敏度、对近场干扰小等优势，有望为高集成度微波电路故障诊断、天线辐射剖面、微波集成电路电磁兼容测试等应用提供一种全新的方案。
en-us	This system has the advantages of high efficiency, high resolution, high sensitivity and low near-field interference. It is expected to provide a new scheme for the application of high integration microwave circuit fault diagnosis, antenna radiation profile, microwave integrated circuit electromagnetic compatibility test. etc．

zh-cn	提出一种以“关键人物”为核心，使用门控融合单元(GFU，Gated Fusion Unit)进行特征融合的组群行为识别框架，旨在解决两个问题:①组群行为信息冗余，重点关注关键人物行为特征，忽略无关人员对组群行为的影响;
en-us	This paper proposes a group behavior recognition framework with "key persons" as the core and Gated Fusing Unit (GFU)for feature fusion. Its aim is to solve the following two problems :1) Group behavior information is redundant, focusing on key person behavior characteristics, ignoring the influence of unrelated personels on group behavior．

zh-cn	②组群内部交互行为复杂，使用 GFU 有效融合以关键人物为核心的交互特征，再通过 LSTM 时序建模成为表征能力更强的组群特征。
en-us	2)The internal interaction relationship is complex within group, GFU is used to effectively model interaction feature centered around the key characters and it is temporally evolved into the group characteristics via LSTM processing．

zh-cn	最终，通过 softmax 分类器进行组群行为类别分类。
en-us	Finally, the group behavior category is classified with Softmax.

zh-cn	该算法在排球数据集上取得了 86. 7% 的平均识别率。
en-us	The algorithm achieves an average recognition rate of 86. 7% on the volleyball dataset．

zh-cn	在物联网复杂的应用环境中，射频识别技术中的标签碰撞问题作为造成其系统标签识别时间长，通信量大等问题的主要原因，已成为近年来本领域的核心研究热点之一。
en-us	In the complex application environment of the internet of things, tag collision in RFID (radio frequency identi-fication) technology has become one of the core research hotspots in recent years, which is the main reason for the high delay oftag identification and communication cost．

zh-cn	针对以上问题，本文提出一种多阅读器协作的树形防碰撞算法:在第一阶段，根据位追踪技术能够识别标签碰撞位的特点，阅读器通过判别待识别标签中的碰撞位，从待广播节点中删除已验证的无效节点;在第二阶段的循环广播中，阅读器间通过共享每次的广播的前缀与当次广播结果对自身的树形结构进行不断优化，优化策略是为每一个阅读器分配一个待广播节点队列，通过共享的信息计算待广播节点中含有标签的概率，依据其概率调整队列中待广播节点的优先级，并不断地删除无需广播的节点。
en-us	To solve the problems above, a MＲCT (multi-reader cooperative tree-based algo-rithm)is proposed in this paper. In the first stage of the algorithm, readers delete part of the invalid nodes according to the advantage of manchester code which can identify the collision bits of tags; In the second stage, readers share the prefix and the current broadcast result in each round of broadcast. The tree structure of the readers is continuously optimized by the information readers shared. The optimization strategy is to allocate a queue of nodes' priority to be broadcasted for each reader. The probability of tags to be broadcasted is calculated by the shared information. The priority of nodes to be broadcasted is adjusted according to its probability, and the invalid nodes are deleted continuously.

zh-cn	在下一轮广播中阅读器选取含有标签概率最大的节点进行广播。
en-us	In the next broadcast, readers select the node with the highest probability to broadcast.

zh-cn	仿真实验结果表明:提出的算法的平均标签识别效率达到59. 9% ，并且在总时隙数量方面有一定优势。
en-us	Simulation results show that the average tag recognition efficiency of this algorithm is 59.9% , and MＲCT has advantage in total time slots．

zh-cn	针对点云空间三维信息非结构化和旋转易变性对预测结果的影响，提出一种带特征监控的三维信息编解码卷积神经网络，该网络可实现三维空间下单目深度图的端对端无标记人体姿态估计。
en-us	Aiming at the impact of unstructured and rotational variability of three-dimensional information in point cloud on prediction results, a feature-supervised three-dimensional information encoding and decoding convolution deep learning network is proposed.

zh-cn	所设计的网络由特征监控编解码组件串联而成，该组件第一部分使用三维卷积模块以类似沙漏结构的形式组合设计，实现对特征图的编码和解码。
en-us	The network is composed of feature monitoring coding and decoding modules in series. In the first part of the module, a three-dimensional convolution module is used in the form of hour glass structure to realize the coding and decoding ofthe feature map.

zh-cn	第二部分以不同参数残差块并联，实现对特征图的监控融合，第一部分与第二部分首尾连接构成组件。
en-us	In the second part, the residual blocks of different parameters are connected in parallel to realize the monitoring and fusion of feature maps．

zh-cn	特征监控编解码组件能根据数据集大小，通过串联的方式搭建不同深度的网络，同时根据数据分辨率，设置组件参数，实现由粗到精的特征学习，最终获得最佳网络。
en-us	Feature monitored coding and decoding modules can build networks with different depths in series according to the size of data sets. At the same time, according to the data resolution, modules parameters can be set to realize feature learning from rough to fine，and ultimately obtain the best network．

zh-cn	通过 ITOP 数据库的实验表明，该网络实现了空间三维信息的端到端深度学习，显著提高了系统性能并具有更高的精度。
en-us	The experiment of ITOP database shows that the network achieves the end-to-end deep learning of three-dimensional information, significantly improves the system performance and has higher precision accuracy．

zh-cn	为防止签名验证者利用部分签名取得不公平的优势，Huang 等人提出混淆乐观公平交换(AmbiguousOptimistic Fair Exchange，AOFE)方案及其一般构造方法，但是其构造方法没有考虑真实的用户环境。
en-us	A generic ambiguous optimistic fair exchange (AOFE) scheme, a variant of OFE, is proposed by Huang et al. The AOFE scheme prevents signature verifiers from convincing anybody about the authorship of a partial signature generated by the signer. However, the AOFE scheme cannot be directly applied to an actual user environment．

zh-cn	在基于 IBC(Iden-tity-Based Cryptography)的用户环境下，文章提出基于身份的混淆乐观公平交换(ID-AOFE)方案构造方法、方案实例、及其选择身份安全模型。
en-us	A generic AOFE scheme and an instantiation of the generic construction in an identity-based user environment were proposed in this paper.

zh-cn	提出的 ID-AOFE 构造方法对 Huang 等人的 AOFE 方案进行了简化，采用具有信息提取功能的证据不可区分证明算法替换原方案模型中的基于标签加解密和零知识证明算法。
en-us	In the generic construction of identity-based AOFE (ID-AOFE), the tag-based encryption and zero-knowledge proof algorithms in Huang et al. AOFE was removed and the non-interactive witness indistinguishable proof algorithms extracting the hided witness via keyswas employed.

zh-cn	ID-AOFE 安全模型以 Huang 等人的 AOFE 安全模型为基础，融合了选择身份安全模型，并对 ID-AOFE 方案的安全性进行了归纳和重新定义。
en-us	Furthermore, we summarized and redefined the security of the ID-AOFE scheme. Then, an ID-AOFE security model was defined based on the Huang et al. AOFE security model and the selective identity security model．

zh-cn	在选择身份安全模型下，提出的 ID-AOFE 方案实例的公平性被规约到经典密码原语的安全性。
en-us	Under the selective identity security model of ID-AOFE, the fairness of our scheme is reduced to the securities of several classical cryptographic primitives．

zh-cn	此外，文章探讨了 ID-AOFE 方案的消息交互模型，就争端解决的方案和过程进行了重点分析。
en-us	In addition, this paper discussed the message interaction model of the ID-AOFE scheme, and analyzed the mechanism of dispute resolution．

zh-cn	针对 Wi-Fi 无源目标跟踪技术中，由于直射路径信号以及噪声等影响造成提取目标反射路径信号困难等难点，本文提出了基于 Wi-Fi 多维参数特征的无源目标跟踪技术。
en-us	In the Wi-Fi passive target tracking technology, it is difficult to extract the target's reflected path signals due to direct path signals and noise effects. A passive target tracking technology based on Wi-Fi multi-dimensional parameter feature is proposed．

zh-cn	该技术采用串行干扰消除代替全零初始化来完成某时刻多条路径到达角(Arrival of Angle，AoA)、飞行时间(Time of Flight，ToF)以及多普勒频移(Doppler FrequencyShifts，DFS)的初始化，并且对传统频域空间交替广义期望最大化(Frequency Domain Space Alternating Generalized Ex-pectation-maximization，FD-SAGE)算法进行改进，弥补了传统算法收敛速度慢以及噪声影响等缺陷。
en-us	This technology uses serial interference cancellation instead of all-zero initialization to complete multiple paths initialization including Arrival of Angle (AoA), Time of Flight(ToF)and Doppler Frequency Shifts(DFS). And the Frequency Domain Space Alternating Generalized Expectation-maximization (FD-SAGE) algorithm is improved to make up for traditional algorithms shortcomings such as slow convergence speed and noise impact．

zh-cn	除此之外，本文采用基于最小代价多路径网络的混合数据关联方法解决了在不同时刻具有不同路径数目时无法进行路径有效关联的问题，同时该方法将固定时间窗中的最优匹配作为某时刻的关联数据，避免了某次关联错误导致后续关联失败所造成的不可逆错误。
en-us	In addition, a hybrid data association method based on the least-cost multi-path network is used to solve the problem of unable to effectively associate paths when there are different numbers of paths at different times. Meanwhile, the method uses the optimal match in a fixed time window as the correlation data at a certain time, which reduces the irreversible error caused by a subsequent association failure caused by the association error．

zh-cn	实验结果表明，本文在复杂室内环境下能够达到 1. 3m 的平均跟踪定位精度。
en-us	Experimental results show that this paper can achieve an average tracking accuracy of 1.3m in a complex indoor environment．

zh-cn	基于松弛支配的高维多目标进化算法(Many-objective Evolutionary Algorithms，MaOEAs)由于能够有效地提高区分解的能力，受到广泛关注，但该类大多数算法处理不同目标的优化问题时普适性较差。
en-us	Ｒelaxed dominance relation based evolutionary algorithms for many-objective optimization (MaOEAs) are widely concerned because they effectively improve the ability to identify solutions, however, the most of these algorithms show poor versatility in solving different objectives of optimization problems．

zh-cn	针对这个问题，本文提出一种基于自适应支配准则的高维多目标进化算法(Adaptive Dominance Criterion Based Evolutionary Algorithm forMany-objective Optimization，ADCEA)。
en-us	To address this issue, this paper proposes an adaptive dominance criterion based evolutionary algorithm for many-objective optimization(ADCEA)．

zh-cn	首先，自适应准则(Adaptive Dominance Criterion，ADC)根据目标空间中相邻解间的角度信息和目标数目，设计一种自适应小生境方法，并结合收敛性指标信息，实现对候选解的非支配排序。
en-us	Firstly, the ADC designs an adaptive niche method based on the angle information and the number of objectives between adjacent solutions in the objective space, and combines the convergence indicator information to achieve non-dominated sorting of candidate solutions．

zh-cn	然后，为了进一步增强种群的多样性，在环境选择中引入参考向量分割种群技术;
en-us	Then, in order to further enhance the diversity of the population, the reference vector population technique is introduced in the environment selection．

zh-cn	最后，构建合理的适应度函数，并根据适应度值大小选取收敛性和多样性较好的非支配解集。
en-us	Finally, a reasonable fitness function is constructed, and the non-dominated solution set with better convergence and diversity is selected according to the fitness value．

zh-cn	实验证明，本文所提的方法在处理不同目标的优化问题时普适性提高，并在平衡种群的收敛性和多样性上取得显著效果。
en-us	The experimental results demonstrate that the proposed method improves the versatility in solving different objectives of optimization problems, and achieves significant effects in balancing convergence and diversity．

zh-cn	在采用无线通信接入的配电网中，入侵检测系统(IDS)通过分析通信网中传输数据来判断入侵事件。
en-us	In an electric power distribution grid using wireless communication access, IDS is used to decide system the intrusive event through analyzing the network transmission data．

zh-cn	为提高检测的准确性，本文将深度学习理论应用于 IDS，提出了一种面向配电网无线通信网络新型入侵检测系统，由带有门控循环单元、多层感知器和 Softmax 的循环神经网络组成。
en-us	In this paper, to improve the detection accuracy, a deep learning theory is studied for the IDS in the wireless communication network of a power distribution grid． The proposed Ｒecurrent Neural Network (ＲNN) model is composed of Gated Ｒecurrent Unit(GＲU), Multi-Layer Perceptron (MLP) and Softmax．

zh-cn	攻击测试基准实验结果表明 IDS 防御的有效性，在KDD99 测试数据集上，其误报率为 0． 06% ，总检出率为 96． 43% ;在 NSL-KDD 测试数据集上，其误报率低至 0． 86% ，总检出率则为 99． 33% 。
en-us	The experimental results on the attack testing baseline demonstrate the effectiveness of the IDS defenses. In the KDD99 test data, its negative error rate and accuracy are with 0． 06% and 96． 43% , and in the NSL-KDD test data, those statistics are 0． 86% with 99． 33% , respectively．

zh-cn	直接判决(DD，Decision-Directed)算法结构简单、音乐噪声抑制能力较好，是当前语音增强领域最为常用的先验信噪比估计方法。
en-us	Due to the low computational complexity and acceptable ability in reducing musical noise effect, the decision-directed (DD) approach is widely used for estimating the a priori signal-noise-ratio (SNＲ) in many speechenhancement systems．

zh-cn	但该算法对于滑动因子的选取数值较为敏感，且估计性能要受到时延问题的限定。
en-us	However, the DD approach suffers from the problem of time delay and the performance is very sensitive to the fixed smoothing factor．

zh-cn	本文首先采用实际的语音和噪声数据，根据音乐噪声残留及输出语音失真两方面的评测标准对 DD 算法中滑动因子的取值问题进行了研究，通过数据分析给出了其较为明确的上下边界值;
en-us	Firstly, the performance of DD approach in musical noise reduction as well as speech distortion attenuation are analyzed using actual speech and noise data, and the boundary values of smoothing factors are presented in view of the analyzed results.

zh-cn	然后基于语音及噪声信号的复高斯分布模型，采用软判决技术对两个具有不同滑动因子的 DD 算法进行概率耦合，提出了一种具有双 DD 结构的先验信噪比估计算法。
en-us	Then, a novel algorithm is proposed, in which two DD approaches with different smoothing factors are probabilistically combined in an attempt to put together the best properties of them．

zh-cn	该算法可以充分结合两个具有不同特性 DD 算法的优点，在音乐噪声抑制及限制语音失真等方面均获得了较为理想的输出效果。
en-us	The contribution of either DD approach to the combination is automatically adjusted in accordance with the speech absence probability, which can be computed using the complex Gaussian model and soft decision technique．

zh-cn	多种噪声背景及输入信噪比条件下的仿真结果表明，相对于目前流行的几种先验信噪比估计算法，本文提出算法具有更为优良的估计性能。
en-us	Experiments are carried out in different noise and in-put SNＲ conditions，and the results demonstrate that the proposed algorithm can significantly outperform the popular methods for estimating the a priori SNＲ．

zh-cn	针对视觉目标跟踪中传统搜索方法效率不高、难以求取全局最优等问题，利用量子遗传算法的全局寻优能力，提出了一种采用量子遗传算法作为搜索策略的视觉跟踪方法。
en-us	Aiming at the problem that traditional search method in visual tracking is not efficient and the global optimization is hard to be solved, as the global optimization ability of quantum genetic algorithm, we put forward a visual tracking method by using quantum genetic algorithm as the search strategy．

zh-cn	在量子遗传算法的框架下，将像素点位置作为种群中的个体，提取颜色直方图作为特征，以相似性度量作为目标函数计算个体适应度值，找出相似度最大的像素点位置输出，最终完成跟踪。
en-us	In the framework of quantum genetic algorithm, regard thepixel positions as the individuals in the population, and extract the color histogram as characteristics. The individual fitness are calculated by taking similarity measure as the objective function. We find out the maximum similarity and output its homologous position, to finish the tracking.

zh-cn	实验结果表明，本文方法在目标速度快、遮挡和非刚性形变等情况下具有明显优势，且算法运算量小，跟踪速度快。
en-us	The experimental results show that the algorithm has obvious advantages in fast speed, occlusionand non-rigid deformation, and the tracking speed is fast．

zh-cn	本文研究基于音频的家庭活动识别方法，提出了一种基于加性间距胶囊神经网络识别模型，针对传统胶囊神经网络目标函数仅以输出胶囊模长作为约束的弊端，本文以几何学的视角，在胶囊神经网络结构中加入 Transi-tion 层，使用 Transition 层对胶囊单元空间关系进行变基至一维空间，再使用加性间距 Softmax 作为目标函数，以同类特征变化小，非同类特征差异大作为优化策略构建基于胶囊向量空间关系的目标函数以提高模型分类能力，最后对方法进行试验，采用音频事件对家庭活动进行分类识别。
en-us	We study the method of family activity recognition based on audio and propose a capsule neural network recognition model based on additive margin. In view of the drawbacks of the traditional capsule neural network objective functiononly with the output capsule mode length as the constraint, this paper adds a Transition layer to the capsule neural network structure from the perspective of geometry and uses the Transition layer to rebase the capsule unit spatial relationship to the one-dimensional. Then, using the additive margin Softmax as the objective function, the change of similar features is small, and the difference of non-similar features is used as the optimization strategy to construct the objective function based on the capsule vector space relationship to improve model classification ability. Finally，test this method by classified identified for audioevents for family activities.

zh-cn	选择声学场景和事件检测与分类(Detection and Classification of A-coustic Scenes and Events，DCASE)2018 挑战任务 5 作为数据集，进行分类器构建和测试，最终平均 F1 分数达到92. 3% ，优于其他主流方法。
en-us	Selecting Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 Challenge Task5 as a dataset for classifier construction and testing, with a final average F1 score of 92. 3% , which is superior to other main-stream methods．

zh-cn	针对灰狼优化算法(Grey Wolf Optimization，GWO)在收敛性研究上的不足，首先，通过定义灰狼群状态转移序列，建立了 GWO 算法的马尔科夫(Markov)链模型，通过分析 Markov 链的性质，证明它是有限齐次 Markov 链;
en-us	The global convergence is one of the important features of an intelligent algorithm. In this paper, we take the initiative to handle the convergence of Grey Wolf Optimization (GWO) with Markov chain.

zh-cn	其次，通过分析灰狼群状态序列最终转移状态，结合随机搜索算法的收敛准则，验证了 GWO 算法的全局收敛性;
en-us	Firstly, a Markov chain model of theGWO algorithm is established through defining the state transition sequence of a gray wolf population.  Analyzing the properties of the Markov chain proves that it is homogeneous finite. Secondly, based on the convergence criteria of random search algorithms, the global convergence of the GWO algorithm is verified via analyzing the final state transition sequence of the grey wolf population．

zh-cn	最后，对典型测试函数、偏移函数及旋转函数进行仿真实验，并与多种群体智能算法进行对比分析。
en-us	Finally, simulation studies on typical testing functions, shifting functions and rotating functions are carried out comparing with a few typical swarm intelligent algorithms．

zh-cn	实验结果表明，GWO算法具有全局收敛性强、计算耗时短和寻优精度高等优势。
en-us	The experimental results show that the GWO algorithm has excellent performance on the global convergence, the computational time and precision of optimization．

zh-cn	电力无线接入网的安全性对于电网生产至关重要，然而由于其 IEC 60870-5-104 规约控制数据存在着高维度的特点，且无线信道质量动态变化，难以快速、有效地检测控制数据的异常。
en-us	The security of the wireless access network of electric power grids is critical for power grid productions. However, the control data anomalies are difficult to be detected in a fast and effective manner, due to the high dimension of the control protocol data in IEC 60870-5-104 protocol, as well as the dynamics on the quality of wireless channels．

zh-cn	鉴于此，本文提出了一种基于多尺度低秩的电力无线网异常流量检测器，首先构建一种规约深度分析的多尺度低秩模型，对其安全特征进行归一化和维度缩减，然后采用改进的递归特征选取和聚焦分类算法实现异常数据的检测。
en-us	To this end, this paper proposes an anomaly traffic detector (ATD) for the wireless network of power girds based on multi-resolution low rank (MＲ-LＲ) model. Firstly, the ATD is designed with the MＲLＲ for the protocol, to regularize and reduce the security feature dimensions. Secondly, it utilizes the improved recursive feature selection and focused classification algorithms for accurate data anomaly detection．

zh-cn	实验结果表明异常流量分类的准确性和维度缩减的性能。
en-us	The results demonstrate the accuracy for the classification on data anomalies, and the performance for the dimensionality reduction．

zh-cn	针对低分辨率、遮挡以及相似物体干扰等复杂场景下目标易丢失的问题，本文提出了基于二阶池化网络的视觉跟踪算法。
en-us	Aiming at the problem that the target is easy to lose in the complex scene such as low resolution, occlusion, the interference of similar objects, this paper proposes a visual tracking algorithm based on second-order pooling network．

zh-cn	已有的方法大多采用一阶池化网络，使得对低分辨目标和相似目标间的区分性不足。
en-us	Most of the existing methods use the first-order pooling network, which makes the difference between similar targets insufficient．

zh-cn	对此，本文首先在 VGG16 网络结构的基础上，将网络最后的一阶池化层替换为二阶协方差池化层，接着在 ImageNet 和 CUB200-2011 数据集上对网络进行重新训练。
en-us	In this paper, based on the VGG16 network structure, the last first-order pooling layer is replaced by the second-order covariance pooling layer, and then the network is retrained on ImageNet and CUB200-2011 image data sets．

zh-cn	在跟踪阶段，为了减少运算负担，仅提取预训练网络的第四层卷积特征作为目标的外观表征。
en-us	In order to reduce the computational burden, only the fourth convolution feature of the pre-training network is extracted as the appearance representation of the target.

zh-cn	最后将提取的特征与已有的相关滤波算法进行结合。
en-us	Finally, the extracted features are combined with the existing correlation filtering algorithm．

zh-cn	实验结果表明，本文算法在跟踪精度和成功率上均取得了优异的性能表现。
en-us	The experimental resultsshow that the algorithm achieves excellent performance in tracking accuracy and success rate．

zh-cn	近年来，可扩展处理器越来越多地应用于嵌入式系统当中。
en-us	In recent years, extensible processors have been increasingly applied in various embedded systems．

zh-cn	在可扩展处理器周围使用自定义指令能够保证一定的灵活性，同时也能很好地满足嵌入式应用对高性能和低功耗的需求。
en-us	The use of custom instructions around the extensible processors can guarantee flexibility while still meeting the high performance and low power requirements of embedded applications．

zh-cn	自定义指令自动识别是可扩展处理器设计中的关键问题之一。
en-us	Automatic custom instruction identification is one of the key issues involved in the design of extensible processors．

zh-cn	针对可扩展处理器的应用领域和发展趋势，介绍近年来自定义指令自动识别的研究进展;
en-us	In view of the application fields and development trends of extensible processors, this survey introduces the research progress of automatic identification of custom instructions in recent years．

zh-cn	在此基础上，对于自定义指令识别涉及的关键步骤:中间表示生成、自定义指令枚举、自定义指令选择和代码转换，分别进行总结和归纳，分析不同方法的优点和难点;按照不同应用领域，对可扩展处理器的应用进行了总结和分析;
en-us	On this basis, there are four key issues involved in the automatic identification of custom instructions: intermediate representation generation, custom instructions e-numeration, custom instructions selection and code transformation. This survey analyzes the advantages and difficulties of previous methods, and presents the summary of the applications of extensible processor in terms of different application fields．

zh-cn	最后展望了自定义指令自动识别的未来发展趋势和研究方向。
en-us	Finally, the trends and possible research directions of automatic identification of custom instructions is presented．

zh-cn	针对现有的应用于基于属性加密方案的安全模指数外包算法存在会降低安全性、验证概率低、外包计算结果可能出错等问题，利用改进的安全模指数外包算法，提出一种支持可验证加解密外包的 CP-ABE(Ciphertext-PolicyAttribute-Based Encryption)方案。
en-us	The existing outsourcing algorithms for modular exponentiations has some problems such as low security, low probability of validation and wrong calculation results. A CP-ABE (Ciphertext-Policy Attribute-Based Encryption) scheme with verifiable outsourced encryption and decryption is proposed with the help of the improved algorithm for secure outsourcing of modular exponentiations.

zh-cn	将属性相关密钥子项外包，将共享密文子项的一半计算任务外包，并对所有的外包结果进行验证。
en-us	The scheme outsources attribute-related key subitems, outsources half of the computing tasks of shared ciphertext subitems, and verifies all the outsourced results．

zh-cn	理论分析和实验结果都表明，和现有相关方案相比，无论在密钥生成时，还是在加密时，所提出方案的授权机构和用户客户端的计算量都有明显减少。
en-us	Theoretical and experimental analysis show that compared with the existing related schemes, both in key generation and encryption, the computing overhead of both authority centers and user clients of the proposed scheme has been significantly reduced．

zh-cn	安全性分析表明，所提出的方案达到 CPA(Chosen Plaintext Attack)安全。
en-us	Security analysis shows that the proposed scheme can defend against chosen plaintext attacks．

zh-cn	针对集成电路测试过程中测试时间长，影响测试效率的问题，提出了一种集成电路测试流程分级动态调整方法。
en-us	Aiming at the problem of long test time and affecting test efficiency in integrated circuit testing process, a hi-erarchical dynamic adjustment method for integrated circuit testing process was proposed．

zh-cn	通过统计样本集成电路中每种测试类型和每条测试向量的测试故障率来建立贝叶斯概率模型，根据其命中故障点的概率高低分级调整它们的加载顺序。
en-us	The Bayesian probability model was established by counting the test failure rate of each test type and each test vector in the sample integrated circuit, and the testing process is hierarchically adjusted according to the probability of their hit fault．

zh-cn	随着测试的进行，不断收集测试数据，动态更新测试类型和测试向量的测试故障率，同步调整测试类型以及测试向量的加载顺序。
en-us	With the test progressed, the test data was collected continuously, the test failure rate of test type and vector were updated dynamically, and their loading order was adjusted synchronously．

zh-cn	实验表明，使用动态调整后的测试流程可以更早的发现故障电路，显著减少故障电路的测试时间，提高测试效率。
en-us	The experimental results showed that the proposed method could significantly reduce test time and improve test efficiency．

zh-cn	本算法是完全基于软件的，不需要增加硬件开销，可以相容于传统的集成电路测试流程。
en-us	Furthermore, the proposed algorithm is completely based on software, no additional hardware overhead, and canbe compatible with the traditional integrated circuit testing process．

zh-cn	动态视觉传感器(Dynamic Vision Sensor，DVS)利用事件驱动原理实现运动目标的快速提取，具有低延迟、低存储空间和高动态范围等优势。
en-us	Dynamic vision sensor (DVS) shows significant advantages on low computational latency，low memory usage and high dynamic range by utilizing the event-driven principle to extract features from moving objects.

zh-cn	目前研究表明，基于 DVS 的神经网络在目标检测等领域具有明显的速度优势。
en-us	Current research shows that DVS-based neural networks improve object detection speed obviously．

zh-cn	但是，这类神经网络在训练时所需要的样本集主要依赖 DVS 相机产生，缺少高效的样本集生成方法，这制约了这类神经网络的应用与发展。
en-us	However, the sample sets required by such neural networks mainly rely on specific DVS cameras while lacking efficient generation methods for the sample sets． It limits the application and development of those neural networks．

zh-cn	本文根据 DVS 原理，提出了一种基于帧图像的 DVS 建模以及样本集建模方法．该方法设定每个像素单元独立工作，经过动态差分和逻辑判断后输出触发的地址-事件数据，这些数据通过编码和归一化生成神经网络训练时所需要的样本集。
en-us	According to the principle of DVS, this paper presents a DVS sample set modeling method based on frame images, in which the sample set can be generated by encoding and normalizing the address-event( AE) data after being trigged by dynamic differential comparisons and logical judgments．

zh-cn	通过对 MNIST 和 CIFAＲ-10 样本集建模的实验结果表明，该建模方法效果与 DVS 相机基本一致;
en-us	The experimental results for modeling the MNIST and CIFAＲ-10 sample sets show that，the sample set modeled by the proposed method is basically matched with the real DVS cameras．

zh-cn	与基于帧图像的存储方式相比，该样本集可以明显减少存储空间。
en-us	Compared with traditional frame image sample sets, this method can significantly reduce the memory usage．

zh-cn	该方法所生成样本集已经通过卷积神经网络训练和测试验证。
en-us	The sample set generated by the proposed modeling method has also been verified by training and testing a typical convolutional neural network．

zh-cn	本文以手持式毫米波人体安检设备为研究背景，设计了一种工作于 90 ～ 94GHz 频段的稀疏十字阵列，并采用时域相关算法与改进距离徙动算法(Ｒange Migration Algorithm，ＲMA)对目标进行成像。
en-us	Sparse cross array that operating in the 90 ～ 94GHz frequency band was designed for the handheld millime-terwave human body security inspection. The time-domain correlation algorithm and the modified range migration algorithm

zh-cn	针对改进 ＲMA 算法在推导过程中存在球面波展开为平面波近似和复杂的插值问题，本文提出一种高精度的无需球面波展开和复杂插值运算的基于(Fast Fourier Transform，FFT)的成像算法，在实现过程中不会引入近似误差和插值误差。
en-us	(ＲMA) were chosen as image reconstruction methods. Due to the existence of spherical wave expansion approximation and complex interpolation processes in the deriving of the modified ＲMA algorithm, a high-precision FFT-based imaging algorithm without spherical wave expansion and complex interpolations was proposed．

zh-cn	采用电磁仿真软件建立目标回波模型，进行测试分辨率和噪声鲁棒性的实验。
en-us	The electromagnetic simulation software was used to build target model obtaining raw echo data, the resolution test and noise robustness verification experiments were carried out．

zh-cn	系统方位分辨率达到 5mm，满足系统设计指标要求，验证了所提算法的正确性。
en-us	The azimuth resolution can achieve 5mm, which meets the system design requirements，and verifies the effectiveness of the proposed algorithm．

zh-cn	综合实验结果得出所提算法的计算效率优于时域相关算法并且噪声鲁棒性优于改进 ＲMA 算法，在手持式毫米波人体安检设备实时成像的应用中，所提算法的适用性更好。
en-us	The computational efficiency of the proposed algorithm is better than that of the time-domain correlation algorithm and the noise robustness is better than the modified ＲMA algorithm. It can be concluded that the proposed algorithm is a better choice in real-time imaging scenarios of the hand held millimeter-wave human body security inspection．

zh-cn	针对现有 Android 恶意代码检测方法容易被绕过的问题，提出了一种强对抗性的 Android 恶意代码检测方法。
en-us	Conventional Android malware detection method can easily be evaded. In this study, we propose a detection method of Android malicious code based on short-term memory network (LSTM), which makes malware more difficult to evade from detection．

zh-cn	首先设计实现了动静态分析相结合的移动应用行为分析方法，该方法能够破除多种反分析技术的干扰，稳定可靠地提取移动应用的权限信息、防护信息和行为信息。
en-us	In this method, a program analysis framework that combines static and dynamic analysis is proposed at first toget the permission information, protection information and behavior information.

zh-cn	然后，从上述信息中提取出能够抵御模拟攻击的能力特征和行为特征，并利用一个基于长短时记忆网络(Long Short-Term Memory，LSTM)的神经网络模型实现恶意代码检测。
en-us	Secondly, entrenched features such as ability features and behavior features are extracted from the information that provided by the program analysis framework. With the entrenched features, we design a malware detection method based on LSTM model to distinguish benign applications from the malicious ones．

zh-cn	最后通过实验证明了本文所提出方法的可靠性和先进性。
en-us	Experimental results demonstrate that our approach is more effective and robust in Android malware detection than the state-of-the-art methods．

zh-cn	传统主元分析(Principal Component Analysis，PCA)、相对主元分析等多元统计法基于阈值诊断故障，由于是原空间等价表示，并未增加任何信息量，使得微小故障难以诊断;
en-us	Traditional principal component analysis, relative principal component analysis and other multivariate statistical methods based on threshold to do the fault diagnosis. Since multivariate statistical method is an equivalent representation of the original space, it does not add any amount of information, making it difficult to diagnose minor faults.

zh-cn	且降维分成主元空间和残差空间，微小信息得不到充分表示。
en-us	And the original spaceis reduced dimensionally into the principal component space and the residual space, so that the tiny information cannot be fully expressed．

zh-cn	深度学习在模式识别方面有成功的应用，深度学习多层次网络对细节进行线性组合表示，但不具备可解释性，仅有训练结果无理论依据，机理分析困难。
en-us	Deep learning has been successfully applied in pattern recognition. However, multilevel networks of deep learning represent linear combinations of details but do not have explanatory. Only with the result of training without theoretical basis, it is difficult to carry out mechanistic analysis．

zh-cn	本文提出一种将主元分析思想与深度学习思想结合的故障诊断方法，在原 PCA 基础上先扩维再降维，使得原始空间中不能表达的信息充分表达，且具备可解释性。
en-us	This paper presents a fault diagnosis method which combines PCA thought and deep learning thought. Based on the original PCA, this paper first expands and then reduces the dimension, making the inexplicit information in the original space fully expressed and interpreted．

zh-cn	理论和仿真实验分析表明，本文方法能判断出传统 PCA 无法检测的微小故障，提高了故障检测的检出率，且具备可解释性。
en-us	Theoretical and simulation experiments show that this method can judge the minor faults which cannot be detected by traditional PCA, improve the detection rate of fault detection and have interpretability．

zh-cn	融合内容语义信息的推荐模型可以有效缓解音乐推荐系统中的数据稀疏性和冷启动问题。
en-us	A model that incorporates semantic information can alleviate the sparse data and cold start problems in a music recommendation system．

zh-cn	然而，这些模型是通过最小化预测评分误差学习用户与音乐的全局关系，忽略了用户和音乐隐式特征的细粒度差异。
en-us	Current models learn the global relations between users and music by minimizing prediction score error. However, they ignore the fine-grained differences between the implicit features of users and music.

zh-cn	此外，内容语义特征是以推荐任务无关的无监督学习方式提取的，从而导致不精确推荐。
en-us	Current models also extract semantic features by unsupervised learning that is irrelevant to recommending, leading to inaccurate recommendations．

zh-cn	为此，本文提出了融合内容表示的度量排序学习推荐模型，该模型是以个性化排序最优化为目标的概率图模型，利用度量学习从全局和细粒度层面挖掘用户音乐偏好。
en-us	We propose a metric-ranking-learning recommendation model that incorporates content representation (CAMＲL). This model is a probabilistic graphical model that optimizes a personalized ranking and explores user music preferences through metric learning at both global and fine-grained levels．

zh-cn	为了解决冷启动推荐问题，本文建立了与推荐任务相关的监督学习策略训练内容语义特征提取模型。
en-us	To solve the cold start recommendation problem, a supervised learning strategy in relation to the recommendation task is proposed to train the model of content semantic feature exaction．

zh-cn	在KKBOX 和 MIGU 数据集上的实验结果表明，提出的模型显著提升了冷启动音乐推荐的效果，在不同稀疏度数据集上的鲁棒性得到了显著增强。
en-us	The results of trials using the KKBOX and MIGU datasets show that the proposed model significantly improves cold start music recommendations when compared with other algorithms; it is also more robust when using sparse datasets．

zh-cn	本文研究了高、低电平输出偏置条件下双极电压比较器 LM311 的电离总剂量(Total Ionizing Dose，TID)—单粒子瞬态(Single Event Transient，SET)的协同效应。
en-us	This paper investigates the synergistic effect of Total Ionizing Dose (TID) -Single Event Transient (SET) of the bipolar voltage comparator LM311 under high and low level output bias conditions.

zh-cn	实验结果表明，高电平输出偏置条件下累积总剂量后的LM311 的 SET 会受到明显抑制，主要表现为瞬态脉冲宽度减小，SET 幅值变小。
en-us	The results showed that the SET of LM311 after the cumulative total dose under high level output bias condition was significantly inhibited, mainly due to the decrease of transient pulse width, and the SET amplitude was also slightly reduced．

zh-cn	低电平输出偏置条件下累积总剂量后的 LM311 的 SET 有促进作用，主要表现为瞬态脉冲宽度增大，SET 幅值变大。
en-us	The SET of LM311 after accumulating the total dose under the condition of low-level output bias has a promoting effect, which mainly manifests as the transient pulse width increases and the SET amplitude increases．

zh-cn	与高电平输出偏置条件相比，LM311 在低电平输出偏置条件下对 SET 不敏感。
en-us	Compared with the high-level output bias condition, the LM311 is not sensitive to SET underthe low-level output bias condition．

zh-cn	发现 TID 诱发的界面态陷阱电荷和氧化物陷阱电荷是 TID-SET 协同抑制效应出现的根本原因。
en-us	It was found that the interface trap charges and oxide trap charges induced by TID are the root cause of the TID-SET synergistic inhibitory effect．

zh-cn	文章提出了一种独立可调双频带通滤波器。
en-us	This paper presents an independently adjustable dual-band bandpass filter．

zh-cn	该滤波器主要由一对加载变容二极管的并联耦合短路线、一对加载变容二极管的 λ/2 开路谐振器和公共输入输出部分组成。
en-us	The filter is mainly composed of apair of varactor-loaded parallel coupling short circuits, a pair of λ/2 varactor-loaded open resonators, and a common input/out-put component．

zh-cn	变容二极管和并联耦合短路线并联构成一个谐振器，产生第一通带。
en-us	The varactor diode and the parallel coupling short circuits are connected in parallel to form a resonator which produces the first passband．

zh-cn	λ/2 开路谐振器加载变容二极管，产生第二通带。
en-us	The λ/2 varactor-loaded open resonators are used to load the varactors and produce the second passband．

zh-cn	通过改变加载在变容二极管上的偏置电压来改变变容二极管的电容值，使谐振器的谐振频率发生偏移，从而调节滤波器工作频率。
en-us	By adjusting the bias voltage on the varactors to change the capacitance value of the varactors, the resonant frequency of the resonators can be shifted and thus the operating frequency of the filter can be adjusted．

zh-cn	结果表明，第一通带和第二通带的中心频率变化范围分别为 0. 2 ～ 0. 4GHz 和 1. 2 ～ 1. 42GHz，调节百分比分别为 66. 5% 和 15. 4% 。
en-us	Both the simulation and testing results show that, the center frequencies of the first and second passbands range from 0. 2 to 0. 4GHz and from 1. 2 to 1. 42GHz, respectively, and their adjustment percentages are 66. 5% and 15. 4% , respectively．

zh-cn	仿真与测试的结果吻合良好，证明该设计方法是有效的。
en-us	The simulation results are well consistent with the testing results, proving that our filter design method is effective．

zh-cn	该滤波器可应用到作弊防控系统中。
en-us	The designed filter can be applied to the cheat prevention and control system．

zh-cn	针对当前三维 OFDM 系统存在的频谱效率较低问题，提出了一种具有规则分布的四维信号星座图改进设计方法，并建立了相应的 OFDM 系统模型。
en-us	In order to improve the spectral efficiency and symbol error rate (SEＲ) of three-dimensional orthogonal frequency division multiplexing (OFDM )system, a simple method for designing four dimensional signal constellations and corresponding OFDM system model based on designed constellations are proposed in this paper．

zh-cn	在所提出的四维 OFDM 系统中，输入的比特信息通过设计的四维信号星座图映射到 OFDM 信号的子载波，再利用二维离散傅里叶反变换把 OFDM 信号从频域调制到时域。
en-us	In proposed system, the incoming information bits are mapped through four dimensional signal mapper to each subcarrier of OFDM signals which is represented by two complex number. OFDM signal in the frequency domain is modulated into the time domain usingthe two-dimensional inverse discrete Fourier transform(IDFT)．

zh-cn	所设计的 8 点和 16 点四维星座图信号点分布弥补了以往高维星座图信号点无规则的缺陷，具有进一步降低误码率的潜能。
en-us	In addition, both designed 8 points and 16 points four dimensional constellations structure have a certain regular.

zh-cn	通过对提出系统在 AWGN 和频率选择性衰落信道环境下的性能仿真验证，所提出的基于四维 8 点和 16 点 OFDM 系统比传统三维 OFDM 具有更优的误码率性能，且系统的频谱效率提高了三分之一。
en-us	Simulation results show that the proposed system has better SEＲ performance compared with the corresponding three-dimensional OFDM systems, and the spectral efficiency can also be increased by one third．

zh-cn	为了在光照复杂、纹理丰富的图像上获得更好的去阴影效果，基于生成对抗网络提出了一种新颖的阴影去除方法。
en-us	To obtain a better shadow removal result on images with complex illumination and texture, we proposed anovel approach based on generative adversarial networks．

zh-cn	首先，所提网络中的阴影检测子网为阴影图像生成阴影掩膜，基于该检测结果提出一种光照敏感的多尺度图像分解方法，在几乎不损失光照信息的同时提取图像纹理信息;
en-us	Firstly, shadow mask is generated by the shadow detection sub-netfrom input shadow image. Based on this detection result, we proposed an illumination sensitive multi-scale image decomposition method to extract the texture information with less or no illumination information loss．

zh-cn	然后，蒙版生成子网为分解后的低尺度图像生成相应的蒙版用于去除其中阴影;
en-us	Secondly, shadow matte is generated by the matte generation sub-net for the low scale shadow image to remove shadows in it．

zh-cn	其次，边界复原子网修复阴影边界实现友好的过渡;
en-us	Thirdly, the shadow boundary are naturally recovered by the boundary completion sub-net．

zh-cn	最后，使用自适应衰减因子引导图像进行细节恢复以得到纹理丰富的结果。
en-us	Finally, the shadow removal result is obtained using a detail recovering method guided by adaptive attenuation factor．

zh-cn	实验结果表明所提方法可以有效地提高阴影去除效果。
en-us	Experimental results show that the proposed method can improve the removal performance effectively．

zh-cn	针对热轧带钢表面缺陷检测中存在的检测速度慢、检测精度低等问题，提出了一种改进的 YOLOv3 算法模型。
en-us	To solve the problem of slow speed and low accuracy in the surface defect detection of hot rolled strips, an improved YOLOv3 algorithm is proposed．

zh-cn	使用加权 K-means 聚类算法来优化确定先验框参数，提高先验框(priors anchor)与特征图层(feature map)的匹配度;
en-us	Firstly, the weighting K-means clustering algorithm is put forward to optimize priors anchor's parameters, which can improve the match between priors anchor and feature map．

zh-cn	同时，调整 YOLOv3 算法的网络结构，融合浅层特征与深层特征，形成新的大尺度检测图层，提高网络对带钢表面缺陷的检测精度。
en-us	Secondly, the improved net-work structure of the YOLOv3 algorithm is proposed to improve the detection accuracy, whose shallow features and deep features are combined to form the new large-scale inspection layer．

zh-cn	实验结果表明，改进后的 YOLOv3 算法在 NEU-DET 数据集上平均精度均值达到了 80% ，较原有的YOLOv3 算法提高了 11% ;
en-us	The experiments are carried out on the NEU-DET data-set, the results show that the average accuracy of the improved YOLOv3 algorithm is 80% , which is 11% higher than that ofthe original algorithm;

zh-cn	同时检测速度保持在 50fps，优于目前其它深度学习带钢表面缺陷检测算法。
en-us	the detection speed is 50fps, which is faster than other strip surface defect detection algorithms based on deep learning．

zh-cn	提出了基于贝塞尔波束的大景深毫米波介质透镜天线的设计方法。
en-us	In this study, we propose an approach to design large depth of field (DOF) millimeter wave (MMW) lens antenna based on Bessel beam.

zh-cn	利用轴锥镜生成贝塞尔波束，并根据成像要求分别设计了基于贝塞尔波束的毫米波介质透镜天线和基于高斯波束的毫米波介质透镜天线。
en-us	The Bessel beam is generated by using axicon. And the MMW dielectric lens antenna basedon Bessel beam or Gaussian beam are designed respectively to satisfy the requirement of imaging.

zh-cn	在 3mm 波段进行了仿真测试及分析，仿真结果表明，所设计的基于贝塞尔波束的毫米波介质透镜天线的 3dB 宽度为 3. 23mm，景深约为 228mm，相较于传统的基于高斯波束的毫米波介质透镜天线，基于贝塞尔波束的毫米波介质透镜天线可实现的景深提升至 5 倍以上。
en-us	Further, the simulation experiment and analysis are conducted in the 3mm band. The results of simulation indicate that the 3dB beam-width is 3. 23mmand the achievable DOF is around 228mm. Compared with the traditional MMW dielectric lens antenna based on Gaussian beam, the achievable DOF can be improved more than five times by MMW dielectric lens antenna based on Bessel beam．

zh-cn	针对宽禁带半导体 SiC APD 紫外单光子探测器，本文提出了一种 1 × 8 线阵型单光子计数读出电路。
en-us	Based on the wide bandgap semiconductor SiC APD ultraviolet single photon detector, a 1 × 8 linear arrayphoton counting readout circuit is proposed in this paper．

zh-cn	根据光强条件并通过合适的时序控制，可选取固定门控或互补门控探测方式，实现宽动态范围紫外光子信号的探测计数。
en-us	According to the condition of the light intensity and through suitable timing control, the unitary fixed mode or complementary gating detection mode can be selected to implement the functions of sensing and counting for the wide dynamic range ultraviolet photon signals．

zh-cn	读出电路采用 TSMC 0. 18μm CMOS 工艺制备，测试结果表明，读出电路具备单光子探测功能，性能与仿真分析预期结果吻合。
en-us	The readout integrated circuit is fabrica-ted by TSMC 0. 18μm CMOS process, the test results show that the readout circuit is capable of single photon detection, and the performance is in agreement with the expected prediction by the simulation results．

zh-cn	最终，借助微动系统二维转台完成对日盲紫外单波长光子的探测与成像，实现对多个独立紫外光源的准确区分与目标定位。
en-us	Finally, the two-dimensional turntable of the micro-motion system is utilized to complete the solar blind single-wavelength photon detection and imaging, so as toimplement accurate discrimination and target localization on the multiple independent ultraviolet light sources．

zh-cn	残差神经网络(ＲesNet)是近几年来深度学习研究中的热点，在计算机视觉领域取得较好成就。
en-us	Ｒesidual neural network (ＲesNet) has witnessed tremendous amount of attention in deep learning researchover the last few years and has made great achievements in computer vision．

zh-cn	本文对残差神经网络从以下几个方面进行总结:第一，阐述残差神经网络的基本结构和工作原理;
en-us	In this paper, the ＲesNet is summarized in the following aspects: Firstly, the basic structure and working principle of the ＲesNet are expounded;

zh-cn	第二，在模型发展方面，以时间为顺序总结了残差神经网络的 8 种网络模型;
en-us	Secondly, in model development, the eight network models of the ＲesNet are summarized in time sequence;

zh-cn	第三，在结构优化方面，从残差神经网络的卷积层、池化层、残差单元、全连接层以及整个网络 5 个方面进行总结;
en-us	Thirdly, in structural optimization, the research progress is described from five aspects of ＲesNet, including convolutional layer, pooling layer, residual unit, fully con-nected layer and the whole network;

zh-cn	最后，将 ＲesNet 应用到医学图像处理领域，主要从图像识别和图像分割 2 个方面探讨。
en-us	Finally, the application of ＲesNet in medical images processing is mainly discussed fromtwo aspects of image recognition and image segmentation．

zh-cn	本文对残差神经网络的原理、模型、结构进行了系统地总结，对残差神经网络的研究发展具有一定的积极意义。
en-us	In this paper, the principles, models, and structures of ＲesNet are systematically summarized, which has positive significance to the research and development of ＲesNet．

zh-cn	为了突破 2 维或 3 维 Hilbert 空间限制，本文结合投票表决的实际需求，基于 Shamir (t，n)门限思想，提出了一个 d 维三粒子纠缠态的量子投票表决方案。
en-us	To break through the limitations of two-dimensional or three-dimensional Hilbert space，a quantum voting scheme based on d-dimensional three-particle entangled state was proposed, which was designed by using Shamir (t，n) threshold to meet the actual demand for voting．

zh-cn	该方案由投票管理中心、投票群组、监票人和计票人四个实体共同完成投票工作。
en-us	The scheme consists of four entities: the voting management center, the voting group, the scrutineer and the ballot counter, which work together to complete the voting.

zh-cn	该方案使用 d 维量子纠缠态增强了适用性，使用单粒子作为投票载体提升了传输效率。
en-us	In this scheme, a d-dimensionalquantum entanglement state is used to enhance the applicability, and the single particle is used as the voting carrier to improve the transmission efficiency．

zh-cn	该方案的正确性通过在 IBM 量子云平台上的模拟仿真得以证实。
en-us	The correctness of the proposed scheme was verified by the experimental simulations onthe IBM quantum cloud platform．

zh-cn	安全性分析表明，该方案在满足投票方案的安全性需求基础上，能抵抗截获-测量-重发、纠缠测量和伪造攻击。
en-us	Security analysis shows that the scheme meets the security requirements of voting schemes, and resists intercept-measure-resend attack, entangle-measure attack, and forgery attack．

zh-cn	性能分析表明，随着参与人数的增多，该方案比其他相似的投票方案具有更高的量子比特效率。
en-us	Performance analysis shows that with the increase of the number of participants, the scheme has higher qubit efficiency than other similar schemes．

zh-cn	由于粒子退化，基于粒子滤波的多伯努利检测前跟踪滤波器对多目标后验密度的估计不准确，导致量测非相参积累的效果不理想。
en-us	Due to the particle degeneracy, the particle filter based multi-Bernoulli track-before-detect (TBD) filter has an inaccurate estimate of the multi-target posterior density, which leads to the poor performance of measurement non-coherent integration．

zh-cn	为此，将 Geodesic 粒子流引入多伯努利检测前跟踪算法，以提升后验密度估计的准确度。
en-us	In order to solve this issue, the Geodesic particle flow is introduced into the multi-Bernoulli TBD algorithm to improve the estimation of the posterior density．

zh-cn	此外，合并航迹时利用目标的航向信息，从而降低航迹交叉时不同目标的航迹被错误合并的概率。
en-us	In addition, in the track-merging step, the course information of thetarget is exploited, which reduces the probability of merging tracks of different targets when they cross．

zh-cn	通过 Ｒayleigh 杂波中 Swerling 1 型起伏目标的检测及跟踪结果证明了所提算法的性能。
en-us	The performance of the proposed algorithm is verified by the simulation results of Swerling 1 fluctuating targets detecting and tracking in Ｒay-leigh clutter．

zh-cn	为构建拥有 2D 神经网络速度同时保持 3D 神经网络性能的视频行为识别模型，提出 3D 多支路聚合轻量网络行为识别算法。
en-us	To construct a video action recognition model with 2D neural network speed while maintaining the performance of 3D neural network, the 3D multi-branch aggregation lightweight network action recognition algorithm is proposed．

zh-cn	首先，利用分组卷积将神经网络分割成多个支路;
en-us	Firstly, the neural network is divided into multiple branches by using grouped convolution．

zh-cn	其次，为促进支路间信息流动，加入具有信息聚合功能的多路复用模块;
en-us	Secondly, to promote theinformation exchange between branches, a multiplexer module with information aggregation function is added．

zh-cn	最后，引入自适应注意力机制，对通道与时空信息进行重定向。
en-us	Finally, the adaptive attention mechanism is introduced to redirect channel and spatio-temporal information．

zh-cn	实验表明，本算法在 UCF101数据集上的计算成本为 11. 5GFlops，准确率为 96. 2% ;
en-us	Experiments show that, the computational cost of the algorithm on the UCF101 dataset is 11. 5GFlops, and the accuracy is 96. 2% ;

zh-cn	在 HMDB51 数据集上的计算成本为 11. 5GFlops，准确率为74. 7% 。
en-us	the computational cost on the HMDB51 dataset is 11. 5GFlops, and the accuracy is 74. 7%.

zh-cn	与其他行为识别算法相比，提高了视频识别网络的效率，体现出一定识别速度和准确率优势。
en-us	Compared with other action recognition algorithms, it improves the efficiency of the video recognition network and reflects certain recognition speed and accuracy advantages．

zh-cn	针对现有 ＲGBD 场景流计算模型在复杂场景、非刚性运动和运动遮挡等情况下易产生场景过度平滑和运动边缘模糊的问题，提出一种基于 FＲFCM (Fast and Ｒobust Fuzzy C-Means)聚类与深度优化的 ＲGBD 场景流计算方法。
en-us	In order to address the issues of scene over-smoothing and motion edge-blurring caused by the existingＲGBD scene flow methods under complex scenes, non-rigid movement and motion occlusions, this paper proposes a ＲGBD scene flow method based on FＲFCM (Fast and Ｒobust Fuzzy C-Means) clustering and depth optimization．

zh-cn	首先以图像序列连续帧间光流信息为基准，利用 FＲFCM 聚类算法对输入图像进行初始分割，然后根据深度图像的运动边缘信息优化初始分割结果，提取高置信度的运动分层信息。
en-us	First, the optical flow information from the consecutive frames is marked as the benchmark and the FＲFCM clustering approach is utilized to obtain the initial segmentation of the input image sequences． Second, according to the motion edge information of the depthimage, we further optimize the initial segmentation to extract the high-confidence hierarchical motion information．

zh-cn	最后设计基于图像分割的 ＲGBD 场景流能量函数，采用金字塔变形策略计算精确的场景流结果。
en-us	Finally, anenergy function of ＲGBD scene flow based on image segmentation is designed, and the pyramid warping strategy is adopted to compute the scene flow field.

zh-cn	分别采用 Middlebury 和 MPI-Sintel 数据库所提供的测试图像集对本文方法和现有的 ＲGBD 场景流算法进行综合对比分析，实验结果表明本文方法相对于其他方法具有更好的场景流估计精度和鲁棒性，有效改善了场景过度平滑和运动边缘模糊问题。
en-us	We employ the test sets of Middlebury and MPI-Sintel databases to conduct a comparison experiment between the proposed method and the existing ＲGBD scene flow methods． The experimental results indicate that the proposed method has better accuracy and robustness of scene flow estimation, especially when dealing with the issues of scene over-smoothing and motion edge-blurring．

zh-cn	为了快速生成覆盖目标路径的测试数据，提出在测试数据进化生成中，利用种群中个体穿越程序各分支的均衡程度调整进化过程。
en-us	In order to speed up the generation of test data that covers the target path, the paper makes good use of the balance of individual traversing program to adjust the evolutionary process of generating test data．

zh-cn	首先，在个体运行被测程序后，统计个体穿越各分支节点真假分支的情况;
en-us	First, after the individuals run the program, the number of individuals crossing the true and false branches of each branch node is counted．

zh-cn	然后，设计并计算个体穿越程序的均衡度;
en-us	Then, the program balance is designed and calculated．

zh-cn	最后，计算个体对程序均衡度的影响，使对程序均衡度影响大的个体具有较高的适应值，有更多机会参与到后续进化中，有效地提高了测试数据的生成效率。
en-us	Finally, the influence on the program balance of each individual is calculated. The individual with high influence has a bigger fitness value to have greater chance to participate in subsequent evolution． The proposed method effectively improves the efficiency of test data generation.

zh-cn	基准程序和工业用例的实验结果表明，与同类方法比较，所提出的方法在生成测试数据的运行时间与成功率方面具有优越性。
en-us	The experiment results of benchmark programs and industrial cases show that our methods have superiority in running time and success rate of test data generation when compared with similar methods．

zh-cn	紧凑拉伸试样参比电位差接线点布局多凭经验，本文提出了一种基于遗传算法对紧促拉伸试样参比电位差接线点寻优的方法。
en-us	The layout of the wiring points of the reference potential difference of the compact tension specimen ismostly based on experience, in this paper, a genetic algorithm is proposed to optimize the tension specimen reference potential wiring points layout．

zh-cn	采用有限元法对拉伸试样的电位场分析，构建遗传算法的参比电位差模型，寻求最佳参比电位差值，得到紧凑拉伸试样最佳接线点位置。
en-us	The finite element method is used to analyze the potential field of the tensile specimen，the reference potential difference model of the genetic algorithm is constructed, the best reference potential difference value is found, and the optimal wiring point position of the compact tensile specimen is obtained．

zh-cn	结果表明，两个参比电位差接线点之间的距离对参比电位差影响较大，靠近电流输入端与拉伸试样右上端内侧区域为最佳接线点位置。
en-us	The results show that the distance between there ference potential difference wiring points has great influence on the reference potential difference, it is close to the current input and the inner part of the upper right end of the tensile specimen are the optimal wiring points position．

zh-cn	为了提高多路径覆盖测试数据的生成效率，研究了一种基于蚁群算法的多路径覆盖测试数据生成方法。
en-us	In order to improve the generation efficiency of multipath coverage test data, a novel method is proposed based on ant colony algorithm (ACO)．

zh-cn	首先给出蚁群算法的一种改进方法，该算法以蚂蚁对生成测试数据的重要性作为蚂蚁状态转移和蚂蚁路径变异的依据，以引导更多蚂蚁穿越小概率节点，提高测试数据生成效率。
en-us	Firstly, an improved ACO is developed. The importance of an ant to generate test data is considered as a factor for ant state transfer and path mutation. As a result, more ants are guided to traverse small probabilities node and the efficiency of test data generation is improved．

zh-cn	其次，根据改进的蚁群算法分别提出了基于单信息素表和多信息素表的多路径覆盖测试数据生成方法。
en-us	Secondly, according to the improved ACO, test data generation of multipath coverage based on single pheromone table and multiple pheromone tables are proposed．

zh-cn	在基于多信息素表的方法中，每条目标路径的信息素表均被用于其它路径测试数据的求解，而且蚁群算法运行一次即可求解多条目标路径的覆盖测试数据。
en-us	In a multiple pheromones table based approach, the pheromone table of each target path is also used to generate test data for other target path, and the test data of multiple paths are generated by running ACO only once．

zh-cn	最后对所提出方法的有效性和复杂度进行了理论分析。
en-us	Finally, the effectiveness and complexityof the proposed method are analyzed theoretically．

zh-cn	实验结果表明，与其它方法相比，基于多信息素表的测试数据生成方法能够有效地生成多路径覆盖测试数据。
en-us	Experimental results show that test data generation based on multi-phero-mone tables can effectively generate multipath coverage test data compared with other methods．

zh-cn	为解决图像增强中对比度提高与噪声抑制的矛盾，本文提出了一种基于双域分解的图像增强算法，同步实现图像对比度提高与噪声抑制。
en-us	To solve the contradiction between contrast enhancement and noise suppression in image enhancement, an image enhancement algorithm based on dual domain decomposition (IEDD) is proposed．

zh-cn	文中详述了空域分解、分层图像空域增强与变换域降噪、分层图像合成三个主要环节的原理、方法。
en-us	The principles and methods including spatial domain decomposition, layered spatial images enhancement and transform domain noise reduction, and layered images synthesis are described in detail．

zh-cn	首先，高斯滤波器将图像分解为基础层和细节层，实现对比度提高与噪声抑制的解耦合;
en-us	Firstly, the image is decomposed into a base layer and a detail layer by a Gaussian filter，that decouples the contrast enhancement and noise reduction．

zh-cn	其次，带校正功能的单尺度 Ｒetinex 和硬阈值收缩的非下采样剪切波降噪算法同步实现基础层的增强和细节层的降噪;
en-us	Next, in order to realize the enhancement of base layerand noise reduction of detail layers synchronously, the single-scale Ｒetinex with correction function and the nonsubsampled shearlet denoising algorithm with hard threshold shrinkage are implemented．

zh-cn	最后，分层图像合成、灰度数值延展和微分算子强化，实现合成图像的灰度延展与细节加强，确保增强图像的颜色均匀、细节突出。
en-us	Finally, to ensure the uniform color and the out-standing detail of the composite image, layered image fusion, gray value extension and differential operator detail enhancement are implemented, realizing the grayscale extension and detail enhancement of the composite image．

zh-cn	实验表明，本文算法提高图像对比度和抑制噪声的性能优于其他九种算法。
en-us	Experiments show that the performance of the proposed algorithm is better than other nine algorithms in improving image contrast and suppressing noise．

zh-cn	为使三相桥式整流器实现节能运行，提出了一种节能型三相桥式零电流开关整流器拓扑结构，在各相桥臂上的辅助谐振电路处于工作状态时，整流器的开关器件能完成零电流软关断。
en-us	In order to achieve energy-saving operation of three-phase bridge rectifier, the topology of an energy-saving three-phase bridge zero-current switching rectifier is proposed. The switching devices of the rectifier can achieve zero-currentturn off when the auxiliary resonant circuit on the bridge arm of each phase is in the working state．

zh-cn	三相桥式整流器通常以绝缘栅双极型晶体管(Insulated Gate Bipolar Transistor，IGBT)作为开关器件，实现零电流软关断能消除 IGBT 拖尾电流产生的关断损耗。
en-us	Three-phase bridge rectifier usually uses insulated gate bipolar transistor (IGBT) as switching devices and the realization of zero-current turn off can eliminate the switching loss caused by tail current of IGBT．

zh-cn	分析了电路工作过程，在三相 3kW 样机上的实验结果表明开关器件实现了零电流软切换。
en-us	The working process of the circuit is analyzed． The experimental results on a three-phase 3kW prototype show that the switching devices achieve zero-current soft-switching．

zh-cn	因此，该拓扑结构可实现以 IGBT 作为开关器件的三相桥式整流器的节能运行。
en-us	Therefore，thistopology can achieve the energy-saving operation of three-phase bridge rectifier which uses IGBT as switching devices．

zh-cn	针对复杂场景下群组行为特征的多样性以及交互关系难以建模的问题，提出一种全新的分层网络架构。
en-us	For the diversity of group behavior characteristics in complex scenes and the problem of difficult interaction modeling, this paper proposes a new two-layered network architecture．

zh-cn	第一层网络，利用伪 3D 残差网络与图卷积网络相结合捕获交互关系特征;
en-us	The first layer of network combines a pseudo 3D residual network with a graph convolution network to capture the interaction characteristics．

zh-cn	第二层网络，利用伪 3D 残差网络捕获群组全局场景时空特征。
en-us	The second layer of network, uses the pseudo 3D residual network to capture the group global scene spatio-temporal characteristics．

zh-cn	根据上述特征之间的互补作用对它们的群组行为决策输出，提出一种权重自适应调整决策融合算法，对上面两层网络的群组行为类别自适应计算重要性权重，实现决策融合。
en-us	Based on the complementary role of the above features, their group behavior decisions are fused with a weight adaptive adjustment algorithm, which adaptively calculates importance weights for the group behavior categories predicted by the above two channels，and realizes decision fusion of the different prediction results．

zh-cn	该方法在 CAD 和 CAE 上分别取得了 91. 4% 和 97. 9% 的平均识别精度。
en-us	The method has achieved 91. 4% and 97. 9% average recognition accuracy on CAD and CAE respectively．

zh-cn	传统的基于几何形态的神经元分类方法依赖于神经元空间结构特征的提取与选择，会损失大量有用的神经元分类信息。
en-us	Traditional morphology-based neuronal classification approaches largely rely on the feature extraction and selection techniques of neuronal spatial structures, a lot of useful information for neuronal classification may be lost．

zh-cn	应用自适应投影算法将三维神经元进行转换，不需要提取神经元的几何特征，提出了一种基于深度学习网络的神经元几何形态分类方法。
en-us	Using the adaptive projection algorithm to convert the three-dimensional neuron data without feature extraction, this paper proposes a neuronal morphology classification approach based on deep learning networks．

zh-cn	该方法将原始神经元数据进行三维体素重建，经过自适应投影过程构成二维神经元图像数据，并构建了基于双卷积门限循环神经网络的深度学习模型对神经元进行分类。
en-us	The three-dimensional voxel reconstructionis used for the original neuron data, and the two-dimensional neuron data is generated through adaptive projection process. Then, the deep learning model of double convolutional gated recurrent neural networks is established to classify neurons．

zh-cn	将该方法应用于三种神经元分类数据集，通过与基于特征提取的神经元分类方法相比，实验结果表明该方法具有更高的分类准确率和良好的适应能力。
en-us	The proposed approach is successfully applied to three neuronal classification datasets, the experiment results show that the proposed method has higher classification accuracy and flexibility than the neuronal classification methods based on feature extraction．

zh-cn	基于量子系统下的自由粒子模型，提出了多尺度自由粒子优化算法(Multi-scale Free Particle Optimiza-tion Algorithm，MFPOA)，并在物理模型的基础之上研究了该算法的内部机制。
en-us	Based on the free particle model of quantum system, the Multi-scale Free Particle Optimization Algorithm (MFPOA) is proposed, and the internal mechanism of the algorithm is studied on the basis of the physical model．

zh-cn	通过类比量子系统和优化系统，将优化问题的求解过程转化成粒子在微观系统下的运动过程。
en-us	Through analogy between quantum system and optimization system, the solving process of optimization problem is transformed into the motion process of particles under the microscopic system．

zh-cn	通过在 MATLAB 仿真平台上对自由粒子优化算法的参数设置进行了研究，并分析了与同类搜索机制的算法的区别。
en-us	The parameter setting of free particle optimization is studied on MATLAB simulation platform, and the differences between the algorithm and similar search mechanism are analyzed.

zh-cn	最后通过实验得出，MFPOA 更适合求解单模简单函数，求解复杂多模函数需要更多的迭代次数。
en-us	Finally,  experiments show that MFPOA is more suitable for solving single-mode functions, and more iterations are needed to solve complex multi-mode functions．

zh-cn	本文研究了可生存虚拟网络多层映射问题，首先对其建立了整数线性规划模型(ILP)，然后针对较大规模问题提出一种高效的启发式算法 VNP-SVNME 对其进行求解。
en-us	This paper studies the multi-layers embedding problem of survivable virtual networks based on virtual net-work layer protection. We first establish an integer linear programming (ILP) for the SVNME problem. Then an efficient heuristic algorithm VNP-SVNME is proposed to solve the large-scale problem．

zh-cn	实验表明，VNP-SVNME 算法的资源映射开销相对ILP 仅平均高 15% ，且优于现有的启发式可生存算法。
en-us	Experiments show that the resource mapping cost of the VNP-SVNME algorithm is only 15% higher on average than the optimal solution, but it is better than the state-of-the-art heuristic．

zh-cn	此外，VNP-SVNME 算法的映射时间相对 ILP 大大降低，可以满足在线虚拟网络映射的需求。
en-us	In addition, the time complexity is greatly reduced compared to ILP, which can meet the requirements of on-line virtual network mapping．

zh-cn	在一个时间窗口网络中寻找前 k 条最短路径是一项具有挑战性的任务。
en-us	It is a challenging task to find the k shortest paths in a time-window network．

zh-cn	在时间窗口网络中，一个节点可能只有在某些特定的时间窗口内才能通行。
en-us	A node may only be accessible within some specific time windows．

zh-cn	现有的研究大都假设运动体可以立即通过可通行节点，或者在暂不可通行节点处等待直到未来时间窗口的开始时刻才通过。
en-us	In the existing researches, an assume is made that a traveller can pass through an accessible node immediately or wait until the next accessible time window．

zh-cn	本文针对一个更一般的时间窗口情况，其中运动体一旦到达节点，可以选择在节点的时间窗口中的任何离散时刻通过该节点。
en-us	This paper targets a more general case where a traveller, once arrived at a node, may choose to pass through the node at any discrete times in the time windows of the node．

zh-cn	本文将这样的时间窗口网络称为拓展时间窗口网络，其解空间大小和复杂程度都显著增加。
en-us	In such a generalized time-window network, the complexity increases significantly, as the size of solution space soars up exponentially．

zh-cn	通过模拟水面上的自然涟漪扩散现象，本文提出了一种有效的涟漪扩散算法，用于求解拓展时间窗口网络中的前 k 条最短路径。
en-us	By imitating the natural ripple-spreading phenomenon on a liquid surface, an effective ripple-spreading algorithm (ＲSA) is proposed for the k shortest paths problem in a generalized time-window network (k-SPPGTW)．

zh-cn	除了一对一问题之外，涟漪扩散算法(ripple spreading algorithm，ＲSA)还扩展到一对多问题．在一对多问题中，需要找到从给定起点到网络中的每个其他节点的所有前 k 条最短路径。
en-us	Besides one-to-one k-SPPGTW, the ＲSA is also extended to one-to-all k-SPPGTW, where all the k shortest paths from a given source to every other node in the network need to be found．

zh-cn	新方法具有最优性的理论保证，其计算复杂度仅为 O(k × NATU× NL)，其中 NL是网络中链接的数量，NATU是涟漪通过链接平均所需的仿真时间单位数。
en-us	The new method has a theoretically guaranteed optimality. The computational complexity of the ＲSA is O(k × NATU× NL), where NLis the number of links in the network, and NATUis the average simulated time units for a ripple to travel through a link．

zh-cn	实验结果证明了 ＲSA 的有效性。
en-us	The effectiveness and efficiency of the ＲSA for the k-SPPGTW are demonstrated by some preliminary experimental results．

zh-cn	同时存在区间显式指标和模糊隐式指标的高维混合指标优化问题是一类难以求解的不确定多目标优化问题。
en-us	The multidimensional hybrid indices optimization problem is a kind of uncertainty multi-objective optimization problems that is difficult to solve．

zh-cn	针对该问题，首先，分别对高维显式指标和隐式指标的主要参数按确定性多目标优化，根据获得的相关权值，将高维显式指标和高维隐式指标分别降维成一维等效区间适应值和一维等效模糊适应值，二者合成个体等效指标体;然后，依据等效指标体的占优情况，通过确定自适应参考点和偏好区域面积选择个体;
en-us	First，we can get relevant weights by optimizing the main parameters of explicit and implicit in-dices. According to these weights, multidimensional explicit indices can be reduced to an equivalent-interval fitness, and multidi-mensional implicit indices can be reduced to an equivalent-fuzzy fitness. Equivalent-interval fitness and equivalent-fuzzy fitness can be synthesized to an equivalent-index body. Then, we select advantage individual on the basis of equivalent-index bodies dominant situation according to adaptive reference point and preference area size．

zh-cn	最后，在大规模种群 NSGA-II 范式下，采用隐式指标估计策略和种群聚类方法实现交互式进化优化算法。
en-us	Finally, we adopt an implicit-indices estimation strategy with cluster method to realize interactive evolutionary algorithm within the framework of NSGA-II．

zh-cn	将本文算法应用于 2 种混合性能指标优化问题，验证所提算法的有效性和泛化性。
en-us	The proposed algorithm is applied to two optimization problems with hybrid indices, and the results validate its efficiency and generalization．

zh-cn	为了提高多目标粒子群优化算法解的分布性，文中提出了一种自适应分解式多目标粒子群优化算法(Adaptive Multiobjective Particle Swarm Optimization based on Decomposed Archive，AMOPSO-DA)。
en-us	To improve the distribution performance of multiobjective particle swarm optimization algorithm, an adaptive multiobjective particle swarm optimization algorithm, based on the decomposed archive, named AMOPSO-DA, is developed in this paper．

zh-cn	首先，设计了一种基于优化解空间分布信息的外部档案更新策略，有效提升了 AMOPSO-DA 的空间搜索能力;
en-us	First, an external archive update strategy, based on the spatial distribution information of optimal solutions, is designed to improve the searching ability of AMOPSO-DA．

zh-cn	其次，提出了一种基于粒子进化方向信息的飞行参数调整方法，有效平衡了 AMOPSO-DA 的探索和开发能力。
en-us	Second, an adaptive flying parameter adjustment strategy, based on the evolutionary direction information of each particle, is proposed to balance the exploration ability and the exploitation ability．

zh-cn	最后，将提出的 AMOPSO-DA 应用于多目标优化问题，实验结果表明，文中提出的 AMOPSO-DA 能够获得分布性较好的优化解。
en-us	Finally,  this proposed AMOPSO-DA is applied to some multiobjective optimization problems. The experiment results demonstrate that AMOPSO-DA can obtain well-distributed optimal solutions．

zh-cn	当前社会网络已取代传统媒体成为信息交流的重要平台，社会网络中的信息具有传播速度快，范围广，即时性强等优点。
en-us	The current social network has replaced traditional media as an important platform for information exchange. The information in social networks has the advantages of fast dissemination, wide range, and strong immediacy．

zh-cn	然而，由于发布信息时缺乏有效的监管手段，导致社会网络平台同时也成为谣言传播的温床。
en-us	However, due to the lack of effective supervision means when publishing information, the social network platform has also become a hotbed of rumors．

zh-cn	因此，快速有效地检测出社会网络谣言，对净化网络环境，维护公共安全至关重要。
en-us	Therefore, the rapid and effective detection of social network rumors is essential for purifying the network environment and maintaining public safety．

zh-cn	本文首先对谣言定义进行阐述，并描述当前谣言检测的问题及检测过程;
en-us	Firstly, this article explains the definition of rumors, and the problems of current rumors detection and detection process are described．

zh-cn	其次，介绍不同数据获取方式并分析其利弊，同时对比谣言检测中不同的数据标注方法;
en-us	Secondly, different data acquisition methods are introduced and their advantages and disadvantages are analyzed． At the same time, different data annotation methods in rumor detection are compared.

zh-cn	第三，根据谣言检测技术的发展对现有的人工、机器学习和深度学习的谣言检测方法进行分析对比;
en-us	Thirdly, according to the development of rumor detection technology, analyze and compare the existing rumors detection methods of artificial, machine learning and deep learning.

zh-cn	第四，通过实验在相同公开数据集下对当前主流算法进行实证评估;
en-us	Fourthly, current mainstream algorithms are empirically evaluated under the same open data set through experiments.

zh-cn	最后，对社会网络谣言检测技术面临的挑战进行归纳并总结全文。
en-us	Finally, analyze and summarize the challenges faced by current social network rumor detection technology．