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Experimental Combined Grouping Analysis Approach for Robust Battery pack design for Electric Vehicles with Higher Performance

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IOP Conference Series: Earth and Environmental Science 2019年第1期268卷

作者： Liu Yun Li Shui Liang Gao Zhun Fan C. Ruhatiya Chin-Tsan Wang Akhil Garg Intelligent Manufacturing Key Laboratory of Ministry of Education Shantou University Guangdong China State Key Lab of Digital Manufacturing Equipment & Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shantou 515063 China School of Engineering Sciences Mahindra École Centrale Hyderabad Telangana 500043 India Department of Mechanical and Electro-Mechanical Engineering National I Lan University ILan Taiwan

Battery consistency is an important factor for battery pack performance. Excellent battery consistency can make battery packs more energy efficient and electric vehicles can have longer mileage and higher safety. Thus, in this study a comprehensive intelligent clustering methodology for the design of Li-ion battery pack on the basis of uniformity and equalization criteria of the cell was proposed. Firstly, multiple parameters (capacity, voltage, temperature and resistance) test of single cell performance was performed. Secondly, a clustering method combine with self-organizing map neural network (SOM) was proposed. Furthermore, a validation experiment (pack level) was carried out to verify the accuracy of proposed clustering algorithm. It can be concluded that the battery pack formed from SOM sorting results perform better than the battery pack having random cells combination as well as the pack originally purchased from the manufacturer.

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Efïicient and low-complexity space time code for massive MIMO RFID systems

Efïicient and low-complexity space time code for massive MI...

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Iberian Conference on Information Systems and Technologies (CISTI)

作者： Mohamed S. Abouzeid Lukasz Lopacinski Eckhard Grass Thomas Kaiser Rolf Kraemer IHP Frankfurt (Oder) Germany Brandenburg University of Technology Cottbus Germany Department of Computer Science Humboldt-University of Berlin Berlin Germany Institute of Digital Signal Processing Duisburg-Essen University Duisburg Germany

In this paper, a Space-Time Block Code (STBC) based on the Golden number, Golden code is proposed for a massive MIMO-RFID systems. Based on channel modelling for massive MIMO-RFID system, the proposed space-time code is applied to the tag side. Simulation results show that the proposed code for massive MIMO-RFID systems outperforms Alamouti code while simplifying the receiver's complexity. The Bit Error Rate (BER) performance of the proposed technique demonstrates that high diversity gain for the tag is achieved leading to a highly reliable and more robust RFID range. Furthermore, the link capacity between the tagged item and the reader can be increased. The proposed RFID technique provides superior performance against the state-of-the-art RFID techniques.

关键词： Radiofrequency identification Fading channels MIMO Encoding Transmitting antennas Complexity theory

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5G ENTERING INTO A NEW ERA

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China Communications 2017年第12期14卷 I0002-I0004页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinqhua UniversityBeiiingChina the State Key Laboratory of Integrated Services Networks Xidian University china communications ieee communications magazine ieee signal processing letters national digital switching system engineering&technological research center the college of information engineering shenzhen university the school of information and electronics beijing institute of technology bupt itu-r imt-2020 channel model ieee comm the school of computer and communication engineering in the university of science and technology beijing(ustb) state key lab.of integrated ser vice networks xidian university the nanjing university of posts and telecommunications(nupt)

The ever increasing wireless data services, such asimaging, video, audio, multimedia, etc., have de-mands for the very high speed wireless communicationsand network, which are unfortunately a bottleneck whencombining with the wireline core network. Users＇ arenow expecting high quality of experience with low-costdevices, ubiquitous connectivity, energy efficiency, highreliability, or even ultra-low latency if a vehicle terminalis applied.

关键词： 5G ENTERING A NEW ERA

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A hierarchical image matting model for blood vessel segmentation in fundus images

arXiv

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arXiv 2017年

作者： Fan, Zhun Lu, Jiewei Li, Wenji Wei, Caimin Huang, Han Cai, Xinye Chen, Xinjian Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shan'tou515063 China Department of Mathematics Shantou University Shan'tou515063 China School of Software Engineering South China University of Technology Guang'zhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiang'su210016 China Medical Image Processing and Analysis Lab School of Electronics and Information Engineering Soochow University Su'zhou215006 China

In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and extendibility of retinal blood vessels is integrated into the image matting model for blood vessel segmentation. Normally the matting models require the user specified trimap, which separates the input image into three regions manually: the foreground, background and unknown regions. However, since creating a user specified trimap is a tedious and time-consuming task, region features of blood vessels are used to generate the trimap automatically in this paper. The proposed model has low computational complexity and outperforms many other state-of-art supervised and unsupervised methods in terms of accuracy, which achieves a vessel segmentation accuracy of 96.0%, 95.7% and 95.1% in an average time of 10.72s, 15.74s and 50.71s on images from three publicly available fundus image datasets DRIVE, STARE, and CHASE_DB1, respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Blood vessels

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Corrigendum to "syndetically proximal Pairs" [J. Math. Anal. Appl. 379 (2011) 656-663]

arXiv

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arXiv 2017年

作者： Li, Jian Moothathu, T.K. Subrahmonian Oprocha, Piotr Department of Mathematics Shantou University Shantou Guangdong515063 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Shantou University Shantou Guangdong515063 China School of Mathematics and Statistics University of Hyderabad Hyderabad500 046 India AGH University of Science and Technology Faculty of Applied Mathematics AL. Mickiewicza 30 KrakÃ³ W30-059 Poland National Supercomputing Centre IT4 Innovations Division of the University of Ostrava Institute for Research and Applications of Fuzzy Modeling 30. Dubna 22 Ostrava70103 Czech Republic

We give a counterexample to Theorem 9 in "Syndetically proximal pairs"[J. Math. Anal. Appl. 379 (2011) 656-663]. We also provide sufficient conditions for the conclusion of Theorem 9 to hold. Copyright ©... 详细信息

关键词： Optimization

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View synthesis optimization based on texture smoothness for 3D-HEVC 40

View synthesis optimization based on texture smoothness for ...

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40th IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2015

作者： Dou, Huan Chan, Yui-Lam Jia, Ke-Bin Siu, Wan-Chi Digital Multimedia Information Processing and Communication Technique Lab Department of Electronic Information and Control Engineering Beijing University of Technology Beijing China Center for Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

ISBN: (纸本)9781467369978

This paper presents view synthesis optimization for 3D-HEVC based on a new texture smoothness process. In the original method, all pixels are exhaustively rendered to get distortions from synthesized views. Since not all pixels from the distorted depth map may cause distortions in the synthesized view, it brings unnecessary coding complexity. In this paper, lines of pixels are skipped based on the analysis of pixel regularity from smooth texture regions. It is due to the fact that the distorted disparity may not have much effect on the synthesized view in smooth texture regions. The proposed method can reduce the coding complexity of view synthesis optimization without significant performance loss. © 2015 IEEE.

关键词： 3D-HEVC depth coding texture smoothness view synthesis optimization VSO

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Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces

Class-Specific Nonlinear Projections Using Class-Specific Ke...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Alexandros Iosifidis Moncef Gabbouj Petri Pekki Department of Signal Processing Tampere university of of Technology Tampere Finland Digital media A-lehdet Oy Helsinki Finland

ISBN: (纸本)9781467379533

In this paper, we propose a new approach for nonlinear Class-specific Discriminant Analysis that exploits a class-specific kernel space definition. We show that the proposed method can considerably reduce the time and space complexities of the standard Class-specific Kernel Discriminant Analysis. Our analysis is verified by experiments illustrating the efficiency of the proposed class-specific kernel-based learning approach.

关键词： Kernel Standards Training data Approximation methods Electronic mail Principal component analysis Optimization

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An Improved Epsilon Constraint Handling Method Embedded in MOEA/D for Constrained Multi-objective Optimization Problems

An Improved Epsilon Constraint Handling Method Embedded in M...

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IEEE Symposium Series on Computational Intelligence

作者： Zhun Fan Wenji Li Xinye Cai Hui Li Han Huang Zhaoquan Cai Caimin Wei Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Department of Electronic Engineering Shantou University 515063 China School of Mathematics and Statistics Xi'an Jiaotong University Shaanxi 710049 China Department of Mathematics Shantou University Guangdong 515063 China Department of Electronic Engineering Shantou University Guangdong 515063 China School of Software Engineering South China University of Technology Guangdong Guangzhou 510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiangsu 210016 China Department of Computer Science Huizhou University Guangdong 516007 China

ISBN: (纸本)9781509042418

This paper proposes an improved epsilon constraint handling method embedded in the multi-objective evolutionary algorithm based on decomposition (MOEA/D) to solve constrained multi-objective optimization problems (CMOPs). More specifically, it dynamically adjusts the epsilon level, which is a critical parameter in the epsilon constraint method, according to the feasible ratio of solutions in the current population. In order to verify the effect of the improved epsilon constraint handling method, three algorithms - MOEA/D-CDP, MOEA/D-Epsilon, and MOEA/D-IEpsilon (MOEA/D with the improved epsilon constraint handling mechanism) are tested on nine CMOPs (CMOP1-CMOP9). The comprehensive experimental results indicate that the proposed epsilon constraint handling method is very effective on the performance of both convergence and diversity.

关键词： improved epsilon constraint

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Improving 2D Block Method in Electrical Impedance Tomography

Improving 2D Block Method in Electrical Impedance Tomography

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Iranian Conference on Biomedical Engineering

作者： Saeed Zaravi Rassoul Amirfattahi Bijan Vosoughi Vahdat Ali Hassanipour Digital Signal Processing Research Lab. Department of Electrical and Computer Engineering Isfahan University of Technology Electrical Engineering Department Sharif University of Technology Department of Electrical and Computer Engineering Isfahan University of Technology

ISBN: (纸本)9781467393522

Block method (BM) is a simple and fast method to solve inverse and forward problems in Electrical Impedance Tomography (EIT). In BM, at first tissue is modeled by some blocks and it is assumed that each block has a specific conductivity. Then a medical image is constructed by calculation of its conductivity. Recently, a non-iterative linear inverse solution is presented for block method which we name 2D BM. In this paper, an efficient algorithm with new formulation is proposed to improve the 2D BM, and then several examples have been investigated to examine the proposed method Results show that suggested algorithm achieves better outcomes in all situations, although its run time is increased respect to 2D BM.

关键词： Electrical Impedance Tomography (EIT) 2D block method Forward Problem Inverse Problem

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Proceedings of workshop AEW10: Concepts in information theory and communications

arXiv

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arXiv 2017年

作者： Kamabe, Hiroshi Manada, Akiko Muramatsu, Jun Miyake, Shigeki Morita, Hiroyoshi Chen, Yanling Han Vinck, A.J. Sakai, Yuta Iwata, Ken-Ichi Tamm, Ulrich De With, Peter H.N. Van Der Sommen, Fons Langenhuizen, Patrick Van Der Putten, Joost Harutyunyan, Ashot N. Poghosyan, Arnak V. Grigoryan, Naira M. Chaabane, Ferdaous Imanishi, Masayuki Wadayama, Tadashi Wübben, Dirk Kurkoski, Brian M. Lewandowsky, Jan Yamamoto, Hirosuke Gassara, Hela Rouissi, Fatma Ghazel, Adel Grati, Khaled Gharbi, Hamed Kuzuoka, Shigeaki Baggen, Stan Iwamoto, Mitsugu Gifu University Japan Graduate School of Informatics and Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan NTT Communication Science Laboratories NTT Corporation NTT Network Innovation Laboratories NTT Corporation University of Electro-Communications Chofu Tokyo182-8585 Japan Institute of Digital Signal Processing University of Duisburg-Essen Germany University of Fukui Japan University of Applied Sciences Interaktion 1 Bielefeld33619 Germany Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands 48 Mamikonyants str. Yerevan0051 Armenia GRESCOM Lab. Ecole Supérieure des Communications de Tunis University of Carthage SUP'COM Cité technologique des communications 2088 El Ghazala Ariana Tunisia Nagoya Institute of Technology Japan Department of Communications Engineering University of Bremen Bremen28359 Germany Japan Advanced Institute of Science and Technology Nomi Japan Hamburg University of Technology Institute of Communications Hamburg21073 Germany Dept. of Complexity Science and Engineering University of Tokyo Kashiwa-shi Chiba277-8561 Japan EBSYS Wevioo Group Technopôle Elgazala El Ghazala Ariana2088 Tunisia Faculty of Systems Engineering Wakayama University Sakaedani 930 Wakayama-shi Wakayama640-8510 Japan Philips Lighting Research High Tech Campus 7 Eindhoven5656 AE Netherlands University of Electro-Communications Japan

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