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7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015

作者： Huang, Ian Chen, Mei Yang, William Qin, Zengchang International School of Beijing Beijing China Department of Electrical Engineering University of Southern California United States Intelligent Computing and Machine Learning Lab Beihang University China School of Automation Science and Electrical Engineering Beihang University China

ISBN: (纸本)9781479986460

In this paper, we present a model to automatically generate efficient transportation networks given a simulated urban environment with predefined population distributions and other physical constraints. Based on the empirical analysis of different topological structures of networks, we found that that the efficiency of transportation networks heavily depends on the layout of the stations. The model uses the genetic algorithm to optimize the spatial distribution of stations. Then, the Minimum Spanning Tree is constructed upon which extra network routes are built to minimize average travel time within the constraint of a network length. Experimental studies of a simulated Beijing subway system showed that our model can generate a network that is 14% more efficient than the current subway system based on the Beijing population distribution and geography. This study can be extended to other transportation systems designs, and other communication networks. © 2015 IEEE.

关键词： Travel time

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Model of three level neutral point clamped converter (NPC) for grid connected photovoltaic systems

Model of three level neutral point clamped converter (NPC) f...

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Proceedings of the International Convention MIPRO

作者： Mateja Novak Viktor Šunde Željko Jakopović Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation Zagreb Croatia

Photovoltaic modules as direct converters of solar energy into electrical energy are typically connected to the power grid trough standard two level converters. A photovoltaics system can be connected to the power grid if it can satisfy the IEEE standardized conditions set by the power grid operator. The conditions include limitations of THD factor and current harmonics. Multilevel converters which have a lower THD factor than two level converters can satisfy these conditions and in the same time work at higher switching frequencies lowering the losses and the size of the output filter. The model implemented in Simulink® MATLAB consists of a photovoltaic array, boost dc-dc converter with MPPT control and three level neutral point clamped converter connected to the power grid. The simulation results are presented, analyzed and compared to the standard model with a two level converter to validate the benefits of the usage of multilevel converters for grid connected photovoltaic systems.

关键词： Power harmonic filters Mathematical model Arrays Switching frequency Photovoltaic systems Load modeling Voltage control

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Identifiability and Parameter Estimation of Linear Continuous-time Systems under Irregular and Random Sampling

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IFAC-PapersOnLine 2015年第28期48卷 332-337页

作者： Mu, Biqiang Guo, Jin Wang, Le Yi Yin, George Xu, Lijian Zheng, Wei Xing Key Laboratory of Systems and Control Chinese Academy of Sciences Beijing100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering Wayne State University DetroitMI48202 United States Department of Mathematics Wayne State University DetroitMI48202 United States Department of Electrical and Computer Engineering Technology Farmingdale State College State University of New York FarmingdaleNY11735 United States School of Computing Engineering and Mathematics University of Western Sydney PenrithNSW2751 Australia

This paper considers the problem of identifiability and parameter estimation of single-input-single-output, linear, time-invariant, stable, continuous-time systems under irregular and random sampling schemes. Conditions for system identifiability are established under inputs of exponential polynomial types and a tight bound on sampling density. Identification algorithms of Gauss-Newton iterative types are developed to generate convergent estimate sequences. When the sampled output is corrupted by observation noises, input design, sampling times, and convergent algorithms are intertwined. Persistent excitation (PE) conditions for strongly convergent algorithms are derived. Unlike the traditional identification, the PE conditions under irregular and random sampling involve both sampling times and input values. Under the given PE conditions, iterative and recursive algorithms are developed to estimate the original continuous-time system parameters. The corresponding convergence results are obtained. Several simulation examples are displayed to verify the theoretical results. © 2015

关键词： Continuous time systems Iterative methods Lyapunov methods Nonlinear control systems Parameter estimation Sampling convergence and asymptotical normality Estimation algorithm Identifiability Irregular sampling Linear continuous time system Non linear least squares

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Distributed event-triggered bipartite consensus for multiple agents over signed graph topology

Distributed event-triggered bipartite consensus for multiple...

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第三十四届中国控制会议

作者： Jinzhou Zeng Fangyuan Li Jiahu Qin Wei Xing Zheng Department of Automation University of Science and Technology of China School of Computing Engineering and Mathematics University of Western Sydney

ISBN: (纸本)9781467374439

The aim of this paper is to address the bipartite consensus for multi-agent systems with directed and undirected graph topologies, using distributed event-triggered control under the assumption that the interactions of agents can be described by a weighted, signed, structurally balanced graph. In this paper, we present a distributed event-triggered control method, where the feedback control law is based on the information from its own latest observations and its neighbors', to deal with the bipartite consensus under both undirected and directed topologies. It is proven that the single-integrator multi-agent systems can reach bipartite consensus under the trigger condition if the network topology is undirected and connected or directed and strongly connected. Some simulations are presented to illustrate the theoretical results.

关键词： Distributed event-triggered,bipartite consensus,single-integrator,signed graph,multi-agent systems.

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Minimum loss control of interior permanent magnet traction motor

Minimum loss control of interior permanent magnet traction m...

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IEEE International Conference on Electric Machines and Drives (IEMDC)

作者： Tino Jerčic Damir Žarko Jadranko Matuško Marijan Martinovic Department of Electrical Machines Drives and Automation University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

This paper presents a new formulation for minimization of copper and iron losses in interior permanent magnet for the purpose of minimum loss control. Motor losses are formulated based on electromagnetic torque to total torque ratio resulting in simplified expression of minimal loss condition which can be easily solved online. The flux-weakening method which adjusts electromagnetic to total torque ratio in order to achieve field weakening operation is also proposed.

关键词： Permanent magnet motors Torque Traction motors Temperature measurement Minimization Trajectory Synchronous motors

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Radiation constrained wireless charger placement

Radiation constrained wireless charger placement

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Haipeng Dai Yunhuai Liu Alex X. Liu Lingtao Kong Guihai Chen Tian He State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu CHINA Third Research Institute of Ministry of Public Security Shanghai CHINA Shanghai key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China Computer Science and Engineering University of Minnesota Minneapolis MN USA Department of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781467399548

Wireless Power Transfer has become a commercially viable technology to charge devices because of the convenience of no power wiring and the reliability of continuous power supply. This paper concerns the fundamental issue of wireless charger placement with electromagnetic radiation (EMR) safety. Although there are a few wireless charging schemes consider EMR safety, none of them addresses the charger placement issue. In this paper, we propose PESA, a wireless charger Placement scheme that guarantees EMR SAfety for every location on the plane. First, we discretize the whole charging area and formulate the problem into the Multidimensional 0/1 Knapsack (MDK) problem. Second, we propose a fast approximation algorithm to the MDK problem. Third, we optimize our scheme to improve speed by double partitioning the area. We prove that the output of our algorithm is better than (1 - ϵ) of the optimal solution to PESA with a smaller EMR threshold (1 - ϵ/2)Rt and a larger EMR coverage radius (1 + ϵ/2)D. We conducted both simulations and field experiments to evaluate the performance of our scheme. Our experimental results show that in terms of charging utility, our algorithm outperforms the prior art by up to 45.7%.

关键词： Safety Wireless communication Wireless sensor networks Approximation algorithms Partitioning algorithms Inductive charging Aggregates

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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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A Method of SMS Spam Filtering Based on AdaBoost Algorithm

A Method of SMS Spam Filtering Based on AdaBoost Algorithm

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World Congress on Intelligent Control and automation

作者： Xipeng Zhang Gang Xiong Yuexiang Hu Fenghua Zhu Xisong Dong Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation of Chinese Academy of Science Beijing CO 100190 China Cloud Computing Center Chinese Academy of Sciences Dongguan CO 523000 China Hainan Zhongke Flower Ocean Cloud Commerce Technology Co. Ltd Haikou CO570311 Hainan China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing CO 100190 China Qingdao Academy of Intelligent Industries Qingdao CO 266061 China Department of Industrial Engineering and Management Aalto University Aalto CO FI-00076 Finland

ISBN: (纸本)9781467384155

Short message is one of the most common communication media for mobile subscribers, so major mobile operators are devoted to improve their Short Message Service (SMS). However, the annoying and undesired messages, also named message spam or simply spam, not only worsen the users' experience, but also cause their complaints on SMS. In this paper, we present a novel Chinese SMS spam filtering framework based on AdaBoost algorithm to provide accurate and effective short messages classification. Three content-based weak filters are introduced to boost the performance of final classification decision. Results from Receiver Operating Characteristics (ROC) analysis prove the proposed method has such advantages as higher efficiency and fewer parameters over those established SMS spam filtering methods. The application of the proposed method is expected to block the most spam for mobile subscribers and improve the service quality of SMS. With simple data processing and few training parameters, the proposed method can be applied into the practice of short text classification.

关键词： Filtering Mobile communication Training Unsolicited electronic mail Classification algorithms Text categorization Bayes methods

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Nonlinear offset free MPC for self-optimizing control in wastewater treatment plants

Nonlinear offset free MPC for self-optimizing control in was...

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International Conference on System Theory, Control, and computing (ICSTCC)

作者： M. Francisco P. Vega S. Skogestad Computing and Automation Department University of Salamanca Bejar Salamanca Spain Chemical Engineering Department Norwegian University of Science and Technology Trondheim Norway

This paper describes the application of an offset free nonlinear model predictive controller (NMPC) to regulate the self-optimizing variables and active constraints in a wastewater treatment plant, particularly the activated sludge process using the benchmark simulation model No. 1 (BSM1). A set of terminal constraints have been added to the NMPC formulation in order to ensure stability. The procedure to find the self-optimizing variables as the best controlled variables in an economic sense, has also been described briefly, considering the most important measurements of the process. This methodology provides the optimum combination of measurements to keep constant with minimum economic loss. The simulation results show good reference tracking for typical average load disturbances.

关键词： Optimization Predictive models Biological system modeling Mathematical model Stability analysis Steady-state Q measurement

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Foreword

Proceedings of the 2016 International Conference on Image Pr...

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Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

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