作者： Mingxin Yu;Yichen Sun;Bofei Zhu;Lianqing Zhu;Yingzi Lin;Xiaoying Tang;Yikang Guo;Guangkai Sun;Mingli Dong （Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China Intelligent Human-Machine Systems Lab, College of Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China Intelligent Human-Machine Systems Lab, College of Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA School of Life Sciences, Beijing Institute of Technology, 5 Zhongguancun South Street, Haidian District, Beijing 100086, China Intelligent Human-Machine Systems Lab, College of Engineering, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, 6 Hongxia Road, Chaoyang District, Beijing 100015, China）

出处： Neurocomputing 2020 Vol.378 No.C P270-282

摘要： The purpose of this study is to present a novel classification framework, called diverse frequency band-based Convolutional Neural Networks (DFB-based ...

作者： Deshuai Yin;Rui Hou;Junchao Du;Liang Chang;Hongxuan Yue;Liusheng Wang;Jiayue Liu;Weiping Zhang （Beijing Institute of Technology, Beijing, PRC School of Economics and Management, North China Electric Power University, Beijing, PRC Internet Department of State Grid Co., Ltd., Beijing, PRC China Electric Power Research Institute, Institute of Information and Communication, Beijing, PRC State Grid Xuji Wind Power Technology Co., Ltd., Xuchang, PRC State Grid Xuji Wind Power Technology Co., Ltd., Xuchang, PRC China Mobile Communications Group QingHai Co., Ltd., XiNing, PRC）

出处： Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology 2020 Vol.38 No.4 P3595-3604

摘要： OBJECTIVE: The purpose of this study is to realize the precise detection of Synthetic Aperture Radar (SAR) image changes. METHODS: In this study, an i ...

作者： Li, Gang¹;Yuan, Ye²;Shen, Heng Tao³; （¹Deakin University, Geelong; VIC, Australia;²Beijing Institute of Technology, Beijing, China;³University of Electronic Science and Technology of China, Chengdu, China）

出处： Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020 Vol.12275 Pv-vi

作者： 胡程^1,2;陈志扬¹;董锡超¹; （¹北京理工大学信息与电子学院雷达技术 研究所，北京, 100081 ²卫星导航电子信息技术教育部重点实验室 （北京理工大学），北京，100081）

出处： Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban) 2020 Vol.12 No.2 P236-245

关键词： deformation retrieval;distributed GEO SAR;earth rotation;formation design;SAR tomography;分布式GEO SAR;地球自转;形变反演;编队构型设计;SAR层析

摘要： Geosynchronous Synthetic Aperture Radar(GEO SAR) has the advantages of short revisit period and wide coverage, and has great potential in disaster pre ...

作者： Li Dai;Yuchen Lu;Huahui Xie;Zhongqi Sun;Yuanqing Xia （Beijing Institute of Technology, 47833 Beijing, Beijing China (e-mail: daili1887@gmail.com)）

出处： IEEE Transactions on Industrial Electronics 2020 P1

关键词： Robustness;Mobile robots;Disturbance observers;Acceleration;Uncertainty;Nonlinear systems;Model Predictive Control (MPC);Wheeled Mobile Robots (WMRs);Incremental Input Constraint

摘要： This paper proposes a robust model predictive control (MPC) algorithm for the tracking problem of wheeled mobile robots (WMRs). The robots are subject ...

作者： Shuaichen Ye;Xiaoxian Yao （School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China. (e-mail: yesc_bit@163.com)）

出处： IEEE Journal of Emerging and Selected Topics in Power Electronics 2020 P1

关键词： Switches;Shape;Current measurement;Control systems;Power electronics;Sensor systems;Observers;sliding-mode observer (SMO);permanent-magnet synchronous machine (PMSM);sensorless drive;chatter reduction;current offset error;current scaling error

摘要： This paper establishes an enhanced sliding-mode observer (SMO) with current measurement error compensators for the speed and position estimation in th ...

作者： Xiao Xiao;Changsheng Li;Xiaoyi Gu;Yusheng Yan;Yifan Wu;Qinghui Wu;Edmund Chiong;Hongliang Ren （Electrical and Electronic Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, 518055 (e-mail: xiaox@sustech.edu.cn) School of Mechatronical Engineering & Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, 47833 Beijing, Beijing, China, 100081 (e-mail: lics@bit.edu.cn) , Singapore, Singapore, 117580 (e-mail: e0019922@u.nus.edu) College of Mechanical and Electrical Engineering, Harbin Engineering University, 12428 Harbin, Heilongjiang Province, China, 150001 (e-mail: yys703@hrbeu.edu.cn) Department of Biomedical Engineering, National University of Singapore, 37580 Singapore, Singapore, 117583 (e-mail: a0133919@u.nus.edu) Department of Urology, National University Hospital, 59053 Singapore, Singapore, 119074 (e-mail: qing_hui_wu@nuhs.edu.sg) Department of Urology, National University Hospital, 59053 Singapore, Singapore, 119074 (e-mail: surce@nus.edu.sg) Department of Biomedical Engineering, National University of Singapore, 37580 Singapore, Singapore, 117575 (e-mail: ren@nus.edu.sg)）

出处： IEEE/ASME Transactions on Mechatronics 2020 P1

关键词： Biopsy;Needles;Robots;Bending;Mechatronics;Phantoms;Force;Robotic prostate biopsy;Transurethral prostate biopsy;Bendable biopsy needle

摘要： Prostate biopsy procedures as a gold standard for early screening of prostate cancer often suffer from multi-pass needle perforations to irrelevant pe ...

作者： （¹Kitware, Inc., Clifton Park, NY, United States;²JD Finance America Corporation, Mountain View, CA, United States;³Tianjin University, Tianjin, China;⁴Stony Brook University, New York, NY, United States;⁵University of Central Florida, Orlando, FL, United States;⁶University of Electronic Science and Technology of China, Chengdu, China;⁷Harbin Institute of Technology (Shenzhen), Shenzhen, China;⁸Korea Aerospace Research Institute, Daejeon, South Korea;⁹Sungkyunkwan University, Suwon, South Korea;¹⁰Sangmyung University, Cheonan, South Korea;¹¹South China University of Technology, Guangzhou, China;¹²University of California at Merced, Merced, CA, United States;¹³Huazhong University of Science and Technology, Wuhan, China;¹⁴University of North Carolina at Charlotte, Charlotte, NC, United States;¹⁵Beijing Institute of Technology, Beijing, China;¹⁶Tongji University, Shanghai, China;¹⁷Guangdong University of Technology, Guangzhou, China;¹⁸Beijing Forestry University, Beijing, China;¹⁹Beihang University, Beijing, China;²⁰Beijing Vion Technology, Inc., Beijing, China;²¹Fraunhofer FKIE, Wachtberg, Germany;²²International Institute of Information Technology, Hyderabad, Hyderabad, India;²³Xidian University, Xi’an, China;²⁴Xi’an Jiaotong University, Xi’an, China;²⁵Science and Technology of China, Hefei, China;²⁶North University of China, Taiyuan, China; aa Harbin Institute of Technology, Harbin, China; ab Birla Institute of Technology and Science, Pilani, Pilani, India; ac Indian Institute of Information Technology Kota, Jaipur, India; ad Karlsruhe Institute of Technology, Karlsruhe, Germany; ae Fraunhofer IOSB, Karlsruhe, Germany; af Wuhan University of Technology, Wuhan, China; ag Shanghai Jiao Tong University, Shanghai, China; ah Centre for Research and Technology Hellas, Thessaloniki, Greece; ai Chongqing University, Chongqing, China; aj DeepBlue Technology (Shanghai) Co., Ltd., Shanghai, China）

出处： Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020 Vol.12538 P692-712

关键词： Drone;Evaluation;Object detection

摘要： The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared wit ...

作者： Rongrong Li¹²;Rui Jiang¹³; （³Institute for Energy Economics and Policy, China University of Petroleum (East China), Qingdao, Shandong 266580, People\'s Republic of China ;¹School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong 266580, People\'s Republic of China ;²School of Management & Economics, Beijing Institute of Technology, Haidian District, Beijing 100081, People\'s Republic of China）

出处： Science of The Total Environment 2020 P140053

关键词： R&D expenditure;Tapio decoupling index;Decomposition model;Top six CO₂ emitters

摘要： This work is aimed to investigate the effect of research and development (R&D) on reduce in environmental pressures through an empirical analysis of t ...

作者： Shan Li;Hongbin Ma （School of Automation, Beijing Institute of Technology, Beijing 100081, China, and also with the School of Mathematics and Statistics, Shangqiu Normal University, Shangqiu 476000. (e-mail: 15993919088@163.com)）

出处： IEEE Transactions on Circuits and Systems II: Express Briefs 2020 P1

关键词： Uncertainty;Adaptive control;Trajectory;Zirconium;Estimation error;Protocols;Couplings;nonlinear;uncertain;state coupled;adaptive.

摘要： Different from the existing studies, this brief first studies the leader-following tracking control of discrete uncertain nonlinear MASs with parametr ...