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IET 2nd International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2008)

作者： Chun-xiao Zhao Ning Ding Lu Gao Li-jun Wang Department of Computer Beijing University of Civil Engineering and Architecture China School of Computer Science and Engineering University of Science and Technology Liaoning Anshan 114051 China School of Information Science and Engineering Bohai University Jinzhou 121000 China

With regard to the fundamental problem of the MANET routing protocols, this paper according to the campus mobile node behaviour, aims to establish a campus wireless mobile model based on AOC system. Through NS-2 simulation platform extensive simulate result and analysis of different mobile fashion which effect on the MANET routing protocol performance: in the aspect of Packet Delivery Ratio,DSR and AODV both surpass 95%, were not greatly affected by the changes of node mobile rate; DSDV and DSR closed to the Path Optimality.

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Application of neural network and expert system in gearbox test

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong university of science and technology (Natural science Edition) 2008年第SUPPL. 1期36卷 53-56页

作者： Zhang, Guangbin Ge, Yunjian Fang, Kai Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 China Department of Automation University of Science and Technology of China Hefei 230026 China Department of Computer Engineering Anhui University of Architecture Hefei 230022 China

According to complex of gearbox test online, this paper introduces a gearbox test system based on automatic shift manipulator. Optimal shift law plays an important role in improving work efficiency and prolonging service life of gearbox. It was more intelligent that judging optimal shift by using neural network. The shift procedure was a complicated nonlinear time-varying one, involving many variables, so the expert system was used to control shift procedure. Then it was a more personification procedure owing to fast and accurate operations. Good running state of system proved success for application of neural network and expert system in product test. Moreover the system had some guiding significance in intelligent and personification control of manipulator.

关键词： Expert systems

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Origin of the Increasing Access Resistance in AlGaN/GaN HEMTs

Origin of the Increasing Access Resistance in AlGaN/GaN HEMT...

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Device Research Conference

作者： Jose Maria Tirado Frederic Mieville Xu Zhao Jinwook Chung Jose Luis Sanchez-Rojas Tomas Palacios EUIT Industrial University of Castilla La Mancha Toledo Spain Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science Massachsuetts lnstitute of Technology Cambridge MA USA ETSI Industriales University of Castilla La Mancha Ciudad Real Spain

We have studied the origin of the increasing source access resistance in GaN HEMTs through a combination of theoretical modeling, simulations and experimental approaches. The reduction of the differential mobility as the electric field in the source region increases to 30 KV/cm in open channel conditions has been identified as the main cause of the increasing access resistance. Although excellent qualitative agreement between our modeling/simulations and the experimental results has been found, the quantitative results are very sensitive to the actual transport model in nitrides. From our results, the electron transport in the 10-30 kV/cm range is better described by a Trofimenkoff model than by the different Monte Carlo simulations reported in the literature, which indicates than current Monte Carlo techniques are overestimating the mobility at moderate electric fields (10-30 KV/cm). The design of new transistor structures with more constant access resistances is critical to improve the frequency performance and linearity of these devices and several new structures will be proposed at the meeting.

关键词： Aluminum gallium nitride Gallium nitride HEMTs MODFETs Electric resistance Conductivity Current density Frequency Linearity computer science

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Graph application on face for personal authentication and recognition

Graph application on face for personal authentication and re...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Dakshina Ranjan Kisku Ajita Rattani Massimo Tistarelli Phalguni Gupta Department of Computer Science and Engineering Asansol Engineering College Asansol India Department of Electrical and Electronics Engineering University of Cagliari Cagliari Italy Department of Architecture and Planning University of Sassari Alghero Italy Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur India

This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.

关键词： Authentication Face recognition Spatial databases Biometrics Face detection Robotics and automation Application software computer science Testing Lighting

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xftsp: A tool for time series prediction by means of fuzzy inference systems

xftsp: A tool for time series prediction by means of fuzzy i...

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International IEEE Conference on Intelligent Systems, IS

作者： Federico Montesino Amaury Lendasse Angel Barriga CSIC Scientific Research CounciL Avda. Reina Mercedes sIn.Edif.CICA Microelectronics Institute of Seville Seville Spain Laboratory of Computer and Information Science of the Helsinky University of Technology Finland Department of Electronics and Electromagnetism University of Seville Spain

A new software tool for time series prediction by means of fuzzy inference systems is reported. This tool, named xftsp, implements a novel methodology for time series prediction based on methods for automatic fuzzy systems identification and supervised learning combined with statistical methods for nonparametric residual variance estimation. xftsp is designed as a tool integrated in the Xfuzzy development environment for fuzzy systems. Experiments carried out on a number of time series benchmarks show the advantages of xftsp in terms of both accuracy and computational requirements as compared against Least-Squared Support Vector Machines, an established technique in the field of time series prediction.

关键词： Fuzzy systems Support vector machines Predictive models Supervised learning Testing Neural networks Intelligent systems Software tools Statistical analysis Evolutionary computation

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Origin of the Increasing Access Resistance in AlGaN/GaN HEMTs

Origin of the Increasing Access Resistance in AlGaN/GaN HEMT...

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66th DRC Device Research Conference Digest, DRC 2008

作者： Tirado, José María Miéville, Frédéric Zhao, Xu Chung, Jinwook Sánchez-Rojas, Jose Luis Palacios, Tomás EUIT Industrial University of Castilla la Mancha Fábrica de Armas Avd. Carlos III s/n 45071-Toledo Spain Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States ETSI Industriales University of Castilla la Mancha Campus Universitario 13071- Ciudad Real Spain

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Research of information retrieval method based on fuzzy rough sets theory

Research of information retrieval method based on fuzzy roug...

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IEEE International Conference on Granular Computing (GRC)

作者： Dekun Tan Hui Sun Minjun Deng Department of Computer Science and Technology Nanchang Institute of Technology Nanchang Jiangxi China School of Civil Engineering and Architecture East China Jiao Tong University Nanchang Jiangxi China

ISBN: (纸本)9781424425129

This paper proposes a new information retrieval method based on fuzzy rough sets theory. In the approach, firstly, the traditional Mutual Information function are used to compute the semantic association weight among document characteristic words, i.e., construct the thesaurus, the similar concept class of each characteristic word is mined based on it. Secondly, the fuzzy-rough set of document and query is built with thesaurus and similar concept class, its lower and upper approximation expand the expression of document and query, it implements conceptual expansion by association semantics. Finally, the semantic closeness between document and query is computed by the semantic distance on fuzzy-rough set, the ordinal results are returned to user according to the close degree value. The user can also adjust support threshold to get his satisfactory research objects through feedback information. This method can realize conceptual retrieval. At the end of the paper, an example is given for further illustration.

关键词： Approximation methods Set theory Information retrieval Thesauri Mutual information Data mining Computational modeling

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Better learning of neural networks using functional graph for analysis of wireless network

Better learning of neural networks using functional graph fo...

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International Conference on computer and Communication Engineering, ICCCE

作者： V. Joseph Raj Heren Chellam G. Stella Morris Department of Computer Engineering Faculty of Architecture and Engineering European University of Lefke North Cyprus Mersin 10 TURKEY Department of Computer Science Government Arts College for Women Alagappa University INDIA 3Department of Electrical and Computer Engineering Manukau Institute of Technology (M.I.T) Auckland NEW ZEALAND

Neural networks have been used as an effective method for solving many problems in a wide range of application areas. As neural networks are being more and more widely used in recent years, the need for their more formal definition becomes increasingly apparent. This paper presents a novel architecture of neural network models using the functional graph. The network creates a graph representation by dynamically allocating nodes to code local form attributes and establishing arcs to link them. In this paper application of functional graph in the architecture of electronic neural network, opto-electronic neural network and genetic neural network are detailed with experimental results. Learning is defined in terms of functional graph. The proposed architectures are applied in evaluating 3G wireless network performance.

关键词： Neural networks Wireless networks Artificial neural networks Biological neural networks Neurons Genetic algorithms computer networks computer architecture computer science Government

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Editorial: Dependability and security

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IEEE Transactions on Dependable and Secure Computing 2008年第1期5卷 1-3页

作者： Iyer, Ravishankar K. Gligor, Virgil D. Kalbarczyk, Zbigniew T. Kanoun, Karama Katzenbeisser, Stefan Mukherjee, Shubu Shieh, Shiuhpyng Zorian, Yervant Department of Electrical and Computer Engineering Carnegie Mellon University Microsoft's Trusted Computing Academic Advisory Board Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign United States IEEE IEEE Computer Society LAAS CNRS IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance Special Interest Group on Dependability Benchmarking IFIP Working Group 10.4 French SEE Technical Committee on Trustworthy Computer Systems SEE Working Group Design and Validation for Dependability Technical University Munich Germany Darmstadt University of Technology ACM IACR Intel's SER Tech Council Intel's Architecture Patent Committee Taiwan Information Security Center NCTU IEEE Reliability Society Taipei and Tainan IACR United States Virage Logic Corp. AT and T Bell Laboratories Logic Vision Inc. University of British Columbia IEEE Test Technology Technical Council

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Redundant optical data transmission using semiconductor lasers

Redundant optical data transmission using semiconductor lase...

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ACS/IEEE International Conference on computer Systems and Applications

作者： H. D. Wacker J. Borcsok H. Hillmer Development HIMA Paul Hildebrandt GmbH + Co KG Bruehl GERMANY Department of Electrical Engineering and Computer Science Chair for Computer Architecture and System Programming Kassel GERMANY University of Kassel Institute of Nanostructure Technologies and Analytics (INA) and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT) Kassel GERMANY

This paper is dealing with redundant optoelectronic data transmission with special respect to laser channels. The concept of the generalized erasure channel (GEC) is used to determine the probability of undetected error for some binary symmetric and non-symmetric channels protected by appropriate codes. In detail, communication via different binary symmetric channels (BSCs), generalized erasure channels and symmetrized binary non symmetric channels (BNSCs) is investigated. Simple upper bounds are given, relating the new formulas to that one of the BSC Finally the results in connection with an inequality for proper codes are applied to multi wavelength optical transmission through channels generated by semiconductor lasers.

关键词： Data communication Semiconductor lasers Error probability Optical transmitters Protection Safety Wavelength division multiplexing Laser theory Upper bound Linear code

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