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International Conference on Electrical engineering, Computing Science and automatic control (CCE)

作者： Felipe Gómez Castañeda Francisco Rodríguez Henríquez Wen Yu Liu Vacuum Electronics National Laboratory Beijing Vacuum Electronics Institute Beijing China Dept. Electrical Engineering Daejeon Korea Advanced Institute of Science and Technology TERA Laboratory South Korea Vacuum Electronics National Laboratory School of Physical electronics University of Electronic Science and Technology of China Chengdu Sichuan China Automatic Control Mexico

This year we are celebrating the 12th International Conference, and the eighth edition in which its organization includes the participation of three academic departments at CINVESTAV: Electrical engineering, Computer Science and automatic control. The conference remains as a specialized forum where local research groups can present their recent results and proposals, interact with each other, and have the opportunity to become aware of the recent research and developments from leading institutions abroad, too. Also, the interaction with technological industry managers and government officers, keeps a special place in the activities of the conference.

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A modular and scalable control architecture for navigation of autonomous underwater vehicles

A modular and scalable control architecture for navigation o...

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OCEANS

作者： Francisco J. Lastra Francisco J. Velasco Elías Revestido Herrero Jesús A. Trujillo Medina Luis M. Vega Dept. of Electronic Technology Systems Engineering and Automatic Control Universidad de Cantabria Spain Iberalter C/Avda. de Fuencarral 44 Edifício 6 Oficina 5 Campus Empresarial Tribeca Madrid Spain Dept. navigation and shipbuilding sciences and techniques Universidad de Cantabria Spain

ISBN: (纸本)9781479987375

In the present paper, a hybrid architecture based on multi-agent systems is proposed, where it is included a module for formal evaluation. This module, allows the processes verification involved in the level/layer/environment steps. It is also developed a methodology for trajectory tracking based on the generation of a reliable virtual space, on which the navigation takes place under operative conditions (safety and effectiveness). Time processing operations reduction is expected during the inspection.

关键词： modular scalable control architecture navigation

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A compact power converter for hybrid energy systems

A compact power converter for hybrid energy systems

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作者： Cai, Jun Zhong, Qing-Chang Stone, David Dept. Automatic Control and Systems Engineering University of Sheffield SheffieldSI 3JD United Kingdom Dept. Electronics and Electrical Engineering University of Sheffield SheffieldSI 3JD United Kingdom

ISBN: (纸本)9781479940325

In hybrid energy systems, batteries and supercapacitors are usually taken as storage mechanisms for smoothing output power, start-up transition, and various load conditions. As a result, developing hybrid power conversion systems has become an attractive research topic. In this study, a compact non-isolated bidirectional DC-DC converter is proposed to interface two DC power sources, which mainly benefit with reduced power switches. In detail, only two switches are needed while for conventional systems four switches are required. Although the number of switches is reduced by half, the proposed converter is still proficient for energy diversification from two energy sources individually or simultaneously. Another benefit of the proposed converter is its extensibility. Several converters are given by easily extending the proposed converter to different applications. They also feature with reduced power switches compare to conventional systems. Detailed analysis on the topology and control algorithm of the proposed converter are given. Real-time simulation results are provided to verify the validity of the proposed system. © 2014 IEEE.

关键词： Topology

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A Compact Power Converter for Hybrid Energy systems

A Compact Power Converter for Hybrid Energy Systems

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Annual Conference of the IEEE Industrial electronics Society

作者： Jun Cai Qing-Chang Zhong David Stone Dept. Automatic Control and Systems Engineering The University of Sheffield Dept. Electronics and Electrical Engineering The University of Sheffield

ISBN: (纸本)9781479940318

In hybrid energy systems, batteries and superca-pacitors are usually taken as storage mechanisms for smoothing output power, start-up transition, and various load conditions. As a result, developing hybrid power conversion systems has become an attractive research topic. In this study, a compact non-isolated bidirectional DC-DC converter is proposed to interface two DC power sources, which mainly benefit with reduced power switches. In detail, only two switches are needed while for conventional systems four switches are required. Although the number of switches is reduced by half, the proposed converter is still proficient for energy diversification from two energy sources individually or simultaneously. Another benefit of the proposed converter is its extensibility. Several converters are given by easily extending the proposed converter to different applications. They also feature with reduced power switches compare to conventional systems. Detailed analysis on the topology and control algorithm of the proposed converter are given. Real-time simulation results are provided to verify the validity of the proposed system.

关键词： DC-DC converter Bidirectional Non isolated Topology Reduced power switches Hybrid energy systems

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Cooperative Capture by Multi-Agent using Reinforcement Learning: Application for Security Patrol systems

Cooperative Capture by Multi-Agent using Reinforcement Learn...

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Asian control Conference

作者： SHIMADA Yasuyuki MATSUMOTO Tadashi HARADA Maya OHTSUKA Hirofumi PBL & Integrated Education Center National Institute of Technology Kumamoto College Advanced Course of Electronics and Information Systems Engineering National Institute of Technology Kumamoto College Dept. of Control & Information Systems Engineering National Institute of Technology Kumamoto College

ISBN: (纸本)9781479978632

Aim of this study is to create a security patrol system which is a cooperative capturing system by using multi-agent in the building. A host computer deploys autonomous robots as agents and find the best strategy to enclose an intruder. From the view point of the pursuit problem by multi-agent, reinforcement learning theory is one of choices to find way how to enclose an intruder. In order to apply reinforcement learning theory to security patrol systems, this study introduces how to discretize patrol areas. Some RFID tags are embedded in the floor and each autonomous robot can know the location where it is by sensing RFID tags, then sends locational information to the host computer. The host computer calculates positioning of the autonomous robots based on received locational data through wireless network. We make a prototype of patrol system and show how it works in this paper.

关键词： Security Mobile robots Radiofrequency identification Robot kinematics Learning (artificial intelligence) Computers

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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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A ΓZ-source based hybrid power converter for battery-fuel cell hybrid electric vehicle

A ΓZ-source based hybrid power converter for battery-fuel c...

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UKACC International Conference on control (control)

作者： Jun Cai Qing-Chang Zhong David Stone Dept. Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. Electronics and Electrical Engineering University of Sheffield Sheffield UK

Low cost and high reliability are the main issues considered in power converter design for hybrid electric vehicle. In this paper, a hybrid power converter is proposed for the power flow control of the battery-fuel cell hybrid electric vehicle. The converter consists of a unidirectional Γ Z-source converter and a bidirectional DC-DC converter. By controlling the voltage of the Z source capacitor and the modulation index of the inverter, the power flow between the fuel cell, battery and the load can be controlled flexibly. The different operation modes of the system and the power flow control strategies are analysed. To verify the validity of the proposed power converter topology and the control methods, system simulation model is developed in Matlab/Simulink environment. In addition, the simulation model is also implemented in the RT-LAB real-time simulator. The simulation results demonstrated the feasibility of the proposed methods.

关键词： Inverters Batteries Fuel cells Hybrid power systems Load modeling control systems Real-time systems

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QoS aware platform for dependable sensory environments

QoS aware platform for dependable sensory environments

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Aitor Agirre Jorge Parra Elisabet Estévez Marga Marcos IK4-Ikerlan Arrasate Spain Dept. of Electronics and Automatic Engineering Universidad de Jaén Jaén Spain Dept. of Automatic Control and Systems Engineering UPV/EHU Bilbao Spain

ISBN: (纸本)9781479947164

Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for monitoring the vulnerable and critical patient. A fault in such a system can be hazardous on the health of the patient. Therefore, such a system must be dependable and ensure reliability, fault-tolerance, safety and other critical aspects, in order to deploy it in real scenario. This paper encounters some of these issues and proposes a component platform to develop a flexible framework with specific support for fault tolerance and safe inter-component communication related QoS aspects. The platform adopts the Service Component Architecture (SCA) model and defines a Data Distribution Service (DDS) binding, which provides the fault tolerance and the required safety-ensuring techniques and measures, as defined in the IEC 61784-3-3 standard.

关键词： Safety Quality of service Fault tolerance Fault tolerant systems Middleware Standards Medical services

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Face recognition using local features by LPP approach

Face recognition using local features by LPP approach

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International Conference on Circuits, Communication, control and Computing

作者： M. E. Ashalatha Mallikarjun S. Holi Praveen R. Mirajkar Dept. of Biomedical Engineering Bapuji Institute of Engineering & Technology Davanagere Karnataka India Dept. of Electronics & Instrumentation Engineering University B.D.T. College of Engineering Davanagere Karnataka India Microelectronics and Control Systems PES Institute of Technology Bangalore Karnataka India

In the present work, appearance-based face recognition method called the Laplacian face approach is used. The face images are mapped into a face subspace for analysis by using Locality Preserving Projections(LPP). The technique is different from Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) which effectively see only the Euclidean structure of face space. The main goal of LPP is to preserve neighbourhood structure of the data set optimally and hence obtain a face subspace that best detects the essential face manifold structure. The Laplacian faces are the optimal linear approximations to the Eigen functions of the Laplace Beltrami operator on the face manifold. Hence, by using this approach undesired variations because of facial expression, changes in lighting conditions, and pose may be eliminated or reduced. Performance analysis of face recognition is carried out on standard databases using both LPP technique and PCA technique. For comparison purpose, PCA with ANN classifier based on Back Propagation Feed Forward Neural Network is also developed and being used for training the input face images and then testing. LPP approach outperforms PCA with ANN, and provides better face representation and also achieves lower error rate.

关键词： Face Principal component analysis Face recognition Covariance matrices Vectors Manifolds Databases

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Multiple land mines localization using a wireless sensor network

Multiple land mines localization using a wireless sensor net...

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International Conference on Information Fusion

作者： Haj Chhadé Hiba Abdallah Fahed Mougharbel Imad Gning Amadou Mihaylova Lyudmila Julier Simon University of Technology of Compiègne Compiègne France Lebanese University Beyrouth Lebanon University College London Dept. of Computer Science London UK Dept. of Automatic Control and Systems Engineering Sheffield University of Sheffield UK University College London Dept. of Computer Science London UK

This paper considers the problem of localization of multiple land mines using information collected by a network of wireless sensors deployed in the area of interest. These sensors detect the concentration of explosive vapours, emanating from buried land mines, in the air and have a wireless transmission system for exchanging information with a treatment or fusion centre. One of the key contribution of this paper is to locate and estimate the emission rate of multiple land mines. Using a model for the transport of the explosive chemicals in the air, we formulate the inverse problem consisting in determining sequentially the positions and emission rates of the land mines knowing concentration measurements provided by the sensors. To solve the inverse problem, we present a first solution based on a Least Squares optimization approach and a second solution based on probabilistic Bayesian techniques using a Markov Chain Monte Carlo sampling scheme. These two approaches are tested and compared on simulated data.

关键词： Landmine detection Sensors Inverse problems Wireless sensor networks Chemicals Vectors Explosives

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