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Directional Beamforming for High-Speed Railway Communications with Frequency Offset Precorrection

Chinese Journal of Electronics 2014年第1期23卷 163-168页

作者： CAO Yuan WEN Yinghong XU Wei XIE Xin School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University National Mobile Communications Research Lab. Southeast University

This paper considers a multi-antenna transmission strategy for high speed railway communications. In order to achieve better performance than conventional space-frequency block coding schemes, we propose a directional beamforming strategy for the High-speed railway(HSR) communication by exploiting some characteristic of the railway system including predetermined moving tracks and real-time positioning information. Moreover,for alleviating the effect of Doppler shift due to the moving train, a frequency offset precorrection method is also incorporated with direction beamforming. Theoretical Signalto-noise ratio(SNR) gain of the proposed beamforming scheme over traditional HSR communication schemes is also derived for illustrating the performance *** results verify the effectiveness of our proposed scheme even with some kind of imperfect position information available at the transmitter.

关键词： Multiple-input multiple-output(MIMO) Directional beamforming High-speed railway communications Frequency offset precorrection

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Applying system Thinking to Learn from Accident of Modern Automatic control systems

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Chinese Journal of Electronics 2014年第2期23卷 409-414页

作者： NIU Ru CAO Yuan GE Xiaocheng TANG Tao State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Department of Computer Science University of York

Modern societies increasingly rely on automatic control systems. These systems are hardly pure technical systems; instead they are complex socio-technical systems, which consist of technical elements and social components. It is necessary to have a systematic approach to analyze these systems because it is growing evidence that accidents from these systems usually have complex causal factors which form an interconnected network of events,rather than a simple cause-effect chain. We take railway Train control systems(TCS) as an example to demonstrate the importance of the socio-technical approach to analyze the system. The paper presents an investigation of recent high-speed railway accident by applying STAMP – one of the most notable socio-technical system analysis techniques, outlines improvements to the system which could avoid similar accidents in the future. We also provide our valuable feedback for the use of STAMP.

关键词： Socio-technical automatic system Railway safety Accident analysis systems theoretic accident model and processes(STAMP)

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Trajectory prediction and alerting for aircraft mode and energy state awareness

Trajectory prediction and alerting for aircraft mode and ene...

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AIAA Infotech @ Aerospace 2015

作者： Shish, Kimberlee Kaneshige, John Acosta, Diana Schuet, Stefan Lombaerts, Thomas Martin, Lynne Madavan, Avinash N. Intelligent Systems Division Millennium Engineering and Integration Company NASA Ames Research Center Mail Stop 269-1 Moffett FieldCA94035 United States Intelligent Systems Division NASA Ames Research Center Mail Stop 269-1 Moffett FieldCA94035 United States Institute of System Dynamics and Control German Aerospace Center DLR Münchner Straße 20 Weßling82234 Germany Human Systems Integration Division San Jose State University NASA Ames Research Center Mail Stop 262-4 Moffett FieldCA94035 United States Intelligent Systems Division Universities Space Research Association NASA Ames Research Center Mail Stop 269-1 Moffett FieldCA94035 United States

ISBN: (数字)9781624103384

ISBN: (纸本)9781624103384

This paper describes the implementation and evaluation of technologies that predict and assess the future aircraft energy state and autoflight configuration, and provide appropriate alerting to better inform pilots of the effect of problematic autoflight inputs or conditions. Prediction algorithms are used to extrapolate the current state of the aircraft based on flight management, autopilot and autothrottle system control laws and knowledge of mode transition logic. The resulting predicted trajectory represents the future four-dimensional flight path of the aircraft if the current course of action is continued. Probabilistic methods are used to estimate the trim envelope through high-fidelity model-based computation of attainable equilibrium sets. The corresponding maneuverability limitations of the aircraft are determined through a robust reachability analysis (relative to the trim envelope) through an optimal control formulation. The combination of prediction and assessment technologies are used to trigger timely alerts to avoid loss of control situations. The maneuvering envelope limits are also indicated on the primary flight display, and the predicted trajectory is displayed on navigation and vertical situation displays. The display features and alerts were evaluated in the Advanced Concepts Flight Simulator at NASA Ames research center, where commercial airline crews flew multiple problematic approach and landings scenarios to investigate the impact on current and future aircraft energy state awareness. Results show that the display features and alerts have the potential to improve situational awareness of what the automation is doing now and what it will do in the future. © 2015, American Institute of Aeronautics and Astronautics Inc. All rights received.

关键词： Forecasting

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Test and research on trackside equipment of high-speed railway based on fault njection

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Energy Education Science and Technology Part A: Energy Science and research 2014年第5期32卷 3817-3826页

作者： Ma, Lin Han, Xiaojie Chen, Lingyi Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing China

The CTCS-3 system adopted in high-speed railway is a safety-critical system. The security can be developed by establishing the simulation and testing platform to verify and evaluate the corresponding technical program. This paper proposed a test method based on fault injection technology to simulate some fault scenes in CTCS-3. In view of the fault-injection characteristics of distributed system, the trackside equipment testing unit is designed. We also introduced the design process of fault injection controller, fault injector (trackside equipment simulator), data collector and data analyzer. Finally, some examples are given to demonstrate that the fault injection can improve the completeness and reliability of the CTCS-3 trackside equipment function. © Sila Science. All rights reserved.

关键词： Equipment testing

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Proposed Novel Multiphase-Multilevel Inverter Configuration for Open-End Winding Loads

Proposed Novel Multiphase-Multilevel Inverter Configuration ...

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European Conference on Power Electronics and Applications

作者： Sanjeevikumar Padmanaban Patrick Wheeler Frede Blaabjerg Ahmet H. Ertas Joseph Olorunfemi Ojo Pawel Szczesniak Ohm Technologies Research and Development Chennai-600 122 India Power Electronics Machines and Control (PEMC) Group Department of Electrical & Electronics Engineering Nottingham University NG7 2RD-Nottingham United Kingdom Center of Reliable Power Electronics (CORPE) Department of Energy Technology Aalborg University 9220-Aalborg Denmark Department of Biomedical Engineering Engineering Faculty Karabuk University Baliklar Kayasi Mevkii 78050 Karabuk Turkey Center for Energy System Research Department of Electrical & Computer Engineering Tennessee Technological University Cookeville 38505-Tennessee United State of America Institute of Electrical Engineering University of Zielona Góra Licealna 9 65417-Zielona Góra Poland

ISBN: (纸本)9781509014101

This paper presents a new multiphase-multilevel inverter configuration for open-winding loads and suitable for medium power (low-voltage/high-current) applications such as 'More Electric Aircraft'. Modular structure comprised of standard dual three-phase voltage source inverter (VSI) along with one additional bi-directional semi-conductor device (MOSFET/IGBT) per phase and two capacitors with neutral point. The additional switches and capacitors are introduced to generate the additional voltage levels in outputs of the VSI. An original modified single carrier five-level modulation (MSCFM) algorithm is developed in this work and overcomes the complexity of standard space vector modulations, easy for real implementation purposes in digital processors. Proposed six-phase multilevel inverter configuration generates multilevel outputs with benefit in comprises with standard multilevel inverter topologies. Further, the complete numerical model of the proposed AC converter along with pulse-width modulation (PWM) is developed with Matlab/PLECS simulation software's. A set of observed results is presented in balanced working condition and always shown good agreement with the theoretical developments.

关键词： Dual three-phase inverter Six-phase inverter Multilevel inverters Multiphase drives Asymmetrical inverters Multiple space vectors Pulse-width modulation

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Erratum to: Robust adaptive synchronization of general dynamical networks with multiple delays and uncertainties

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Pramana 2016年第6期86卷 1413-1413页

作者： LU, YIMING HE, PING MA, SHU-HUA LI, GUO-ZHI MOBAYBEN, SALEH Laboratory of Train Network Department of Train Control Tech. Research Center of Product & Tech. CRRC TANGSHAN CO. LTD Tangshan People’s Republic of China School of Information Science and Engineering Northeastern University Shenyang People’s Republic of China School of Automation and Electronic Information Sichuan University of Science and Engineering Zigong People’s Republic of China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin People’s Republic of China

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research on train communication network based on switched Ethernet

Research on train communication network based on switched Et...

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14th International Conference on Railway engineering Design and Optimization, COMPRAIL 2014

作者： Ma, L.-C. Zhong, C.-C. Cao, Y. Xing, Z. Zhang, Y.-Z. National Engineering Research Center of Rail Transportation Operation and Control System China School of Electronics and Information Engineering Beijing Jiaotong University China CSR Qingdao Sifang Locomotive and Rolling Stock Limited China State Key Laboratory of Rail Traffic Control and Safety China

ISBN: (纸本)9781845647667

Recently with the development of high-speed railways, the traditional train communication network (TCN) can barely meet the increasing demand of realtime and high data rate transmission requirements. In this study, a solution based on switched Ethernet is firstly proposed with reconstructed TCN topology and communication protocol stacks. Then, virtual link and flow shaping were introduced in order to realize a strictly real-time communication. By using the network calculus theory, the presented strategies were proven to admit a maximum delay constraint and simulation results also verify our analysis. Finally, a detailed analysis of the vehicle layer and backbone layer are given, where the results show that traditional TCN could be replaced by TCN based on switched Ethernet. © 2014 WIT Press.

关键词： Ethernet

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Safety analysis and design platform for the high-speed railway operation control system 10

Safety analysis and design platform for the high-speed railw...

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10th Symposium on Formal Methods for Automation and Safety in Railway and Automotive systems, FORMS/FORMAT 2014

作者： Yang, Lingyun Zheng, Wei Zhao, Lin Wu, Daohua National Engineering Research Center for Rail Transportation Operation and Control System Beijing Jiaotong Universitiy Beijing100044 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Institute of Traffic Safety and Automation Engineering Technical University of Braunschweig Braunchweig38106 Germany

ISBN: (纸本)9783981688665

Modern safety-critical systems(SCS) are becoming increasingly complicated to be analyzed and assessed, due to system scale and the functions they provide. These pose a huge challenge for the development of SCS. A number of studies have been done for system design and safety analysis of SCS but there is still no complete tool chain to support the whole development and analysis process. In this paper, we present a platform which develops a whole set of the tool chain to complete system design and safety analysis. The platform makes the modeling and safety assessment of high-speed railway operation control system easier by using failure logic modeling method. It also develops an algorithm which can automatically convert failure logic model to fault tree and minimal cut sets. These results will help system designers to gain more knowledge on how to maintain system safety.

关键词： systems analysis

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