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International Conference on Communication Software and Networks, ICCSN

作者： Wang Kai Liu Jingzhi Zhang Bo Zhang Jianjian Department of command and control system National Defense Information Institute Wuhan China Battlefield Information Processing Laboratory Chongqing Communication Institute Chongqing China

By exploiting the correlations of the massive MIMO channel, Compressed Sensing (CS) has been applied to develop efficient channel feedback scheme. The existing CS-based channel feedback schemes, however, adopt Gaussian random matrices to compress the channel, which will impose an unreachable memory and computation requirement on user equipment (UE). In this paper, a new Toeplitz-structured measurement matrix is proposed to perform efficient channels compression in massive MIMO system. Instead of containing entries of are independent realizations of random variables with certain distributions, Toeplitz matrices have constant diagonals, leading a significant reduction of UE requirement for storing and computation. Based on such matrices, we introduce novel feedback mechanism improving further the feedback efficiency for frequency division duplex (FDD) massive MIMO systems. Simulation results show that the Toeplitz-structured matrices perform comparably with Gaussian random matrices while requiring less independent random variables and computation complexity.

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Enhanced Geometric Map:a 2D&3D Hybrid City Model of Large Scale Urban Environment for Robot Navigation

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机器人 2016年第3期38卷 311-321页

作者： LI Haifeng HU Zunhe LIU Jingtai College of Computer Science and Technology Civil Aviation University of China Tianjin 300300 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou 350121 China Institute of Robotics and Information Automatic System Nankai University Tianjin 300071 China Tianjin Key Laboratory of Intelligent Robotics Tianjin 300071 China

To facilitate scene understanding and robot navigation in large scale urban environment, a two-layer enhanced geometric map(EGMap) is designed using videos from a monocular onboard camera. The 2D layer of EGMap consists of a 2D building boundary map from top-down view and a 2D road map, which can support localization and advanced map-matching when compared with standard polyline-based maps. The 3D layer includes features such as 3D road model,and building facades with coplanar 3D vertical and horizontal line segments, which can provide the 3D metric features to localize the vehicles and flying-robots in 3D space. Starting from the 2D building boundary and road map, EGMap is initially constructed using feature fusion with geometric constraints under a line feature-based simultaneous localization and mapping(SLAM) framework iteratively and progressively. Then, a local bundle adjustment algorithm is proposed to jointly refine the camera localizations and EGMap features. Furthermore, the issues of uncertainty, memory use, time efficiency and obstacle effect in EGMap construction are discussed and analyzed. Physical experiments show that EGMap can be successfully constructed in large scale urban environment and the construction method is demonstrated to be very accurate and robust.

关键词：被提高的几何学的地图都市模型机械手航运同时发生的定位而且映射局部的包裹调整

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Optimizing the Taxonomy and Hierarchy of a Chinese Lexical Database - Cilin

Optimizing the Taxonomy and Hierarchy of a Chinese Lexical D...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Tingxin Wei Xiaohe Chen Shi Shengwang Junsheng Zhou Yanhui Gu Weiguang Qu International College for Chinese Studies Nanjing Normal University Nanjing China School of Chinese Language and Literature Nanjing Normal University Nanjing China School of Computer Science and Technology Nanjing Normal University Nanjing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9781728102085;9781728102078

Cilin is one of the most popular semantic knowledge bases in Chinese information processing. Due to its coding scheme and taxonomical arrangement, some semantic relations among words are not explicitly shown. Our work aims to characterize its semantic relations by adding tags and compound codes to optimize the taxonomy and hierarchy of Cilin. Experiment results show that using the tag-augmented Cilin as a knowledge base improves the performance in the task of semantic similarity measurement.

关键词： Semantics Compounds Taxonomy Encoding Knowledge based systems Wheels Task analysis

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Coarse-to-Fine Learning for Single-Image Super-Resolution

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IEEE Transactions on Neural Networks and Learning systems 2017年第5期28卷 1109-1122页

作者： Zhang, Kaibing Tao, Dacheng Gao, Xinbo Li, Xuelong Li, Jie School of Computer and Information Science Hubei Engineering University Xiaogan Hubei432000 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Street UltimoNSW2007 Australia State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China State Key Laboratory of Transient Optics and Photonics Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an Shaanxi710119 China Video and Image Processing System Laboratory School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China

This paper develops a coarse-to-fine framework for single-image super-resolution (SR) reconstruction. The coarse-to-fine approach achieves high-quality SR recovery based on the complementary properties of both example learning-and reconstruction-based algorithms: example learning-based SR approaches are useful for generating plausible details from external exemplars but poor at suppressing aliasing artifacts, while reconstruction-based SR methods are propitious for preserving sharp edges yet fail to generate fine details. In the coarse stage of the method, we use a set of simple yet effective mapping functions, learned via correlative neighbor regression of grouped low-resolution (LR) to high-resolution (HR) dictionary atoms, to synthesize an initial SR estimate with particularly low computational cost. In the fine stage, we devise an effective regularization term that seamlessly integrates the properties of local structural regularity, nonlocal self-similarity, and collaborative representation over relevant atoms in a learned HR dictionary, to further improve the visual quality of the initial SR estimation obtained in the coarse stage. The experimental results indicate that our method outperforms other state-of-the-art methods for producing high-quality images despite that both the initial SR estimation and the followed enhancement are cheap to implement. © 2012 IEEE.

关键词： Optical resolving power

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Optimal Power Allocation for Cooperative Relaying system in Smart Grid 35

Optimal Power Allocation for Cooperative Relaying System in ...

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第35届中国控制会议

作者： MA Kai LIU Xuemei YANG Jie LIU Zhixin WANG Congshan School of Electrical Engineering Yanshan University Key Laboratory of System Control and Information Processing Ministry of EducationShanghai Jiao Tong University

ISBN: (纸本)9781509009107

In this study,cooperative relaying is proposed to reduce the packets loss rate in the communications between the utility company and the *** establish a cost model based on the statistical analysis with the regulation errors of a direct load control method in smart ***,we model the average cost of generation-side regulation using the combinational cost of the generating *** problem of minimizing the average cost to the utility company is convex,and we use the Fibonacci search method to obtain the globally optimal power allocation for the *** results demonstrate that the proposed algorithm can converge to the globally optimal relay power under the amplify-and-forward relaying strategy,and the average cost to the utility company can be reduced significantly.

关键词： Smart Grid Cooperative Relaying Fibonacci Search Method Automatic Generation control(AGC) Power Allocation

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Adaptive Autonomous Navigation Method for MEO and HEO Satellites Based on Weak Constellation Signal 35

Adaptive Autonomous Navigation Method for MEO and HEO Satell...

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第35届中国控制会议

作者： YANG Wen-bo LI Shao-yuan Shanghai Polytechnic University Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781509009107

An adaptive autonomous navigation method for medium earth orbit（MEO） and high earth orbit（HEO） satellites is proposed by using four constellation systems to overcome shortcomings of low visibility,liability and usability of single mode or dual-mode positioning ***,based on the analysis of the visibility and compatibility of constellation satellites,satellites selection is realized by utilizing weighted geometric dilution of precision（WGDOP） ***,considering the fact that there exists a non-synchronization phenomenon in the constellation systems,the synchronization error of each constellation system is estimated in real time as state variables of the navigation ***,measurement noise variance matrix of the designed filter is adjusted adaptively in allusion to the problem of weakness of the received satellites signal and the strong uncertainty of the measurement noise of the ***,simulation results are provided,which illustrate that compared with extended Kalman filter（EKF）,the navigation accuracy can be enhanced by using the proposed adaptive filtering algorithm when there exists strong uncertainty in the measurement noise.

关键词： Autonomous navigation Visibility Geometric dilution of precision Synchronization

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Deep learning for robust outdoor vehicle visual tracking

Deep learning for robust outdoor vehicle visual tracking

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Ji-ng Xin Xing Du Jian Zhang Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an P.R.China Faculty of Engineering and Information Technology University of Technology (UTS) Sydney Australia

ISBN: (纸本)9781509060689

Robust visual tracking for outdoor vehicle is still a challenging problem due to large appearance variations caused by illumination variation, occlusion and scale variation, etc. In this paper, a deep-learning-based approach for robust outdoor vehicle tracking is proposed. Firstly, a stacked denoising auto-encoder is pre-trained to learn the feature representation way of images. Then, a k-sparse constraint is added to the stacked denoising auto-encoder and the encoder of k-sparse stacked denoising auto-encoder (kSSDAE) is connected with a classification layer to construct a classification neural network. After fine-tuning, the classification neural network is applied to online tracking under particle filter framework. Extensive tracking experiments are conducted on a challenging single object online tracking evaluation platform benchmark to verify the effectiveness of our tracker. Experiments show that our tracker outperforms most state-of-the-art trackers.

关键词： Robustness Object tracking Machine learning Feature extraction Biological neural networks Visualization

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Dynamic data packing towards the optimization of QoC and QoS in networked control systems

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Science China(Technological Sciences) 2016年第1期59卷 72-80页

作者： KANG Yu ZHAO YunBo Department of Automation and State Key Laboratory of Fire Science University of Science and Technology of China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences Department of Automation Zhejiang University of Technology

A class of networked control systems is investigated whose communication network is shared with other applications. The design objective for such a system setting is not only the optimization of the control performance but also the efficient utilization of the communication resources. We observe that at a large time scale the data packet delay in the communication network is roughly varying piecewise constant, which is typically true for data networks like the Internet. Based on this observation, a dynamic data packing scheme is proposed within the recently developed packet-based control framework for networked control systems. As expected this proposed approach achieves a fine balance between the control performance and the communication utilization: the similar control performance can be obtained at dramatically reduced cost of the communication resources. Simulations illustrate the effectiveness of the proposed approach.

关键词： networked control systems packet delay variation dynamic data packing quality of control quality of service

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Fixed frequency model predictive control for three-phase VSR under unbalanced grid condition

Fixed frequency model predictive control for three-phase VSR...

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Annual Conference of Industrial Electronics Society

作者： Xin Guo Hai-peng Ren Jie Li Shaanxi Key Laboratory of Complex System Control & Inte lligent Information Processing Xi'an University of Technology Xi'an China Department of Electrical Engineering Xi'an University of Technology Xi'an China

Under the three-phase unbalanced grid condition, the commonly used controller design methods of three-phase voltage source rectifiers (VSR) are based on the instantaneous power model and the current and voltage double-closed loop control structure. The inner current loop proportional integral (PI) controllers are designed for the positive- and negative-sequence current components, separately, therefore, there are eight mutual influenced control parameters need to be tuned, which is very complicated. In this paper, a current loop fixed frequency model predictive control (MPC) method is proposed for the three-phase VSR under the unbalanced voltage input condition. As compared to the traditional double-closed loop PI control structure based on the conventional instantaneous power model, the proposed method uses less control parameters with easy tuning rule, and simple control structure. The proposed current loop MPC control strategy can effectively restrain the active power oscillation and the current harmonics in both balanced and unbalanced grid input condition, which is proved by both simulation and experiment results.

关键词： High-temperature superconductors

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Using object-based analysis to derive surface complexity information for improved filtering of airborne laser scanning data

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Frontiers of Earth Science 2017年第1期11卷 11-19页

作者： Menglong YAN Thomas BLASCHKE Hongzhao TANG Chenchao XIAO Xian SUN Daobing ZHANG Kun FU Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing 100190 China Z GIS - Centre for Geoinformatics and Department for Geography and Geology University of Salzburg Salzburg A-5020 Austria Satellite Mapping Application Center State Bureau of Surveying and Mapping Beijing 100048 China China Aero Geophysical Survey and Remote Sensing Center for Land and Resources Beijing 100083 China

Airborne laser scanning （ALS） is a technique used to obtain Digital Surface Models （DSM） and Digital Terrain Models （DTM） efficiently, and filtering is the key procedure used to derive DTM from point clouds. Generating seed points is an initial step for most filtering algorithms, whereas existing algorithms usually define a regular window size to generate seed points. This may lead to an inadequate density of seed points, and further introduce error type I, especially in steep terrain and forested areas. In this study, we propose the use of object- based analysis to derive surface complexity information from ALS datasets, which can then be used to improve seed point generation. We assume that an area is complex if it is composed of many small objects, with no buildings within the area. Using these assumptions, we propose and implement a new segmentation algorithm based on a grid index, which we call the Edge and Slope Restricted Region Growing （ESRGG） algorithm. Surface complexity information is obtained by statistical analysis of the number of objects derived by segmentation in each area. Then, for complex areas, a smaller window size is defined to generate seed points. Experimental results show that the proposed algorithm could greatly improve the filtering results in complex areas, especially in steep terrain and forested areas.

关键词： airborne laser scanning object-based analysis surface complexity information filtering algorithm

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