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International Conference on Information Networking

作者： Min Wei Keecheon Kim Ping Wang Department of Computer Science and Engineering Konkuk University Seoul South Korea Key Laboratory of Network Control & Intelligent Instrument Ministry of Education Chongqing University of Posts and Telecommunications China Key Laboratory of Network Control & Intelligent Instrument Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China

Security plays an especially important role for application of wireless sensor network due to the vulnerability of network. In this paper, we propose and implement one approach of mutual authentication scheme with key agreement for wireless sensor network, which is significant to security provisioning in wireless sensor network with resource limitations. Then we discuss new sensor node security join process in the network. Based upon the provision concept, the proposed scheme does not require public keys for sensor nodes such that the additional cost for certificates can be reduced. Finally, test results show that these security methods may be used to realize the security and reliability of the wireless sensor networks.

关键词： Wireless sensor networks Authentication Servers Cryptography Routing Wireless communication

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Distributed Identification of the Cell Transmission Traffic Model: A Case Study

Distributed Identification of the Cell Transmission Traffic ...

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American control Conference

作者： Marco Rinaldi Luca Capisani Antonella Ferrara Alfredo Nunez Mohammad Hajiahmadi Bart De Schutter Department of Computer Engineering and Systems Science Universita degli Studi di Pavia via Ferrata 1 27100 Pavia Italy Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands

ISBN: (纸本)9781457710957

The problem of the distributed identification of a macroscopic first-order traffic model, viz. the Cell Transmission Model (CTM), is considered in the paper. The parameters to be identified characterize the dynamics of the density in different sections of the freeway (cells). We explore different distributed identification schemes. The purposes of the approach are mainly to obtain good prediction models through the minimization of the one-step ahead prediction error of the densities of the cells, and to reduce the computational time and the effort required to perform the identification. The methodology is validated relying on real-life data measured on a portion of the A12 freeway in The Netherlands. An evaluation of the performance of the identified model used as a set of virtual sensors in different scenarios is presented.

关键词： Optimization Sensors Traffic control Computational modeling Mathematical model Predictive models Road transportation

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Extending CSP to detect motor imagery in a four-class BCI

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Journal of Information and Computational science 2012年第1期9卷 143-151页

作者： Fang, Yonghui Chen, Minyou Zheng, Xufei Harrison, R.F. State Key Laboratory of Power Transmission Equipment and System Security New Technology Chongqing University Chongqing 400044 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China College of Computer Science Sichuan University Chengdu 610065 China Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

Brain computer Interface (BCI) provides a direct communication channel from brain to peripheral equipment. Common Spatial Patterns (CSP) is wildly used to extract features for electroencephalogram (EEG). However, basic CSP only suits two-class discrimination and is unable to solve multi-class discrimination problems. This paper proposes a modified CSP method termed Bisearch Common Spatial Patterns (BCSP) to solve a four-class BCI problem. In BCSP, the Fisher's Linear Discriminant Analysis (LDA) is used to discriminate among the four motor imagery tasks. The BCSP can effectively reduce the number of the basic CSP, and thus makes the overall classification procedure more efficient. The Graz BCI data set from the BCI 2008 competition be used to verify the effectiveness of the BCSP. Simulation results show that BCSP has better performance than other extension schemes. © 2012 Binary Information Press January 2012.

关键词： Brain computer interface

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International Conference on Soft Computing and Intelligent Systems

作者： Takaharu Shimada Tatsuya Hazemoto Shunsuke Makino Kouichi Hirata Kimihito Ito Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Department of Artificial Intelligence Kyushu Institute of Technology Department of Artificial Intelligence & Biomedical Informatics R&D Center Kyushu Institute of Technology Research Center for Zoonosis Control Hokkaido University

ISBN: (纸本)9781467327428

In order to capture a selective packaging mechanism among eight RNA segments in influenza A viruses, we assume that almost nucleotides in the positions of packaging signals must be simultaneously changed. In this paper, we formulate such positions as correlated mutations based on a joint entropy ratio, develop a method of finding all of them by using set enumeration with pruning and apply to nucleotide sequences among RNA segments in H3N2 influenza viruses.

关键词： Packaging signal Influenza viruses Correlated mutation

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Finite-key analysis for measurement-device-independent quantum key distribution

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Physical Review A 2012年第2期86卷 022332-022332页

作者： Ting-Ting Song Qiao-Yan Wen Fen-Zhuo Guo Xiao-Qing Tan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto Ontario Canada M5S 3G4 Department of Mathematics College of Information Science and Technology Jinan University Guangzhou Guangdong 510632 China

The length of signal pulses is finite in practical quantum key distribution. The finite-key analysis of an unconditional quantum key distribution is a burning problem, and the efficient quantum key distribution protocol suitable for practical implementation, measurement-device-independent quantum key distribution (MDI QKD), was proposed very recently. We give the finite-key analysis of MDI QKD, which removes all detector side channels and generates many orders of key rate higher than that of full-device-independent quantum key distribution. The secure bound of the ultimate key rate is obtained under the statistical fluctuations of relative frequency, which can be applied directly to practical threshold detectors with low detection efficiency and highly lossy channels. The bound is evaluated for reasonable values of the observed parameters. The simulation shows that the secure distance is around 10 km when the number of sifted data is 1010. Moreover the secure distance would be much longer in practice because of some simplified treatments used in our paper.

关键词： QUANTUM measurement DEPENDENCE (Statistics) QUANTUM statistics DETECTORS FLUCTUATIONS (Physics) SIMULATION methods & models ENERGY consumption

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Editorial-neural networks and learning systems come together

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IEEE Transactions on Neural Networks and Learning Systems 2012年第1期23卷 1-6页

作者： Baesens, Bart Bouboulis, Pantelis Cruces, Sergio Domeniconi, Carlotta Ikeda, Shiro Li, Xuelong Melin, Patricia Rao, V. Sree Hari Schuller, Björn W. Shen, Yi Tang, Huajin Wang, Cong Yang, Jian Zhao, Dongbin Liu, Derong Catholic University of Leuven Belgium University of Athens Greece University of Seville Spain George Mason University United States Institute of Statistical Mathematics Japan University of London United Kingdom Tijuana Institute of Technology Mexico Jawaharlal Nehru Technological University India Technische Universität München Germany Huazhong University of Science and Technology China Institute for Infocomm Research Singapore Singapore South China University of Technology China Nanjing University of Science and Technology China Chinese Academy of Sciences China State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical Computer Engineering University of Illinois Chicago IL 60607 United States

This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS). By adding «Learning Systems» to the title, we now state explicitly the scope of the TRANSACTIONS to include neural networks as well as related learning systems. This issue marks a new era in the history of our TRANSACTIONS. The TRANSACTIONS is now ready to face the challenges of the next 10-20 years. With the evolution of the fields of neural networks in particular and computational intelligence in general, the IEEE Transactions on Neural Networks and Learning Systems will continue to grow and to succeed in this ever-changing world. Also included are a few comments about the review process of TNN manuscripts and the introduction of 14 new TNNLS Associate Editors. © 2012 IEEE.

关键词： Learning systems

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Feature extraction of motor imagery in BCI with approximate entropy

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Journal of Computational Information Systems 2012年第6期8卷 2485-2491页

作者： Fang, Yonghui Chen, Minyou Zheng, Xufei Harrison, Robert F State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing 400044 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China College of Computer Science Sichuan University Chengdu 610065 China Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Approximate Entropy (ApEn) is a regularity statistic that quantifies the unpredictability of fluctuations in a time series and can classify complex systems. This study, ApEn is used to extract features from motor imagery Electroencephalogram (EEC) that containing two motor imagery tasks. This method is different from the traditional way to get the character from EEC. Appropriate parameters must been chosen for different dataset. Two datasets are used in this paper. One comes from BCI Competion2003, the other from the lab of Electromagnetic theory and artincal intelligence, Chongqing University. The results show that ApEn can extract different features in left-hand and right-hand motor imagery EEC efficiently. Comparison between ApEn and Fast Fourier Transform (FFT) shows that ApEn has good capability to the two imagery tasks Brain computer Interface. © 2012 Binary Information Press.

关键词： Electroencephalography

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Evading Quantum Mechanics: engineering a Classical Subsystem within a Quantum Environment

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Physical Review X 2012年第3期2卷 031016-031016页

作者： Mankei Tsang Carlton M. Caves Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Department of Physics National University of Singapore 2 Science Drive 3 Singapore 117551 Center for Quantum Information and Control University of New Mexico MSC07-4220 Albuquerque New Mexico 87131-0001 USA Centre for Engineered Quantum Systems School of Mathematics and Physics The University of Queensland St. Lucia Brisbane 4072 Australia

Quantum mechanics is potentially advantageous for certain information-processing tasks, but its probabilistic nature and requirement of measurement backaction often limit the precision of conventional classical information-processing devices, such as sensors and atomic clocks. Here we show that, by engineering the dynamics of coupled quantum systems, it is possible to construct a subsystem that evades the measurement backaction of quantum mechanics, at all times of interest, and obeys any classical dynamics, linear or nonlinear, that we choose. We call such a system a quantum-mechanics-free subsystem (QMFS). All of the observables of a QMFS are quantum-nondemolition (QND) observables; moreover, they are dynamical QND observables, thus demolishing the widely held belief that QND observables are constants of motion. QMFSs point to a new strategy for designing classical information-processing devices in regimes where quantum noise is detrimental, unifying previous approaches that employ QND observables, backaction evasion, and quantum noise cancellation. Potential applications include gravitational-wave detection, optomechanical-force sensing, atomic magnetometry, and classical computing. Demonstrations of dynamical QMFSs include the generation of broadband squeezed light for use in interferometric gravitational-wave detection, experiments using entangled atomic-spin ensembles, and implementations of the quantum Toffoli gate.

关键词： Optics Quantum Physics Quantum Information

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Experimentally verified Iterative Learning control based on repetitive process stability theory

Experimentally verified Iterative Learning Control based on ...

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American control Conference (ACC)

作者： Pawel Dabkowski Krzysztof Galkowski Eric Rogers Zhonglun Cai Chris T. Freeman Paul L. Lewin Zdenek Hurak Anton Kummert Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Praque Czech Republic Institute of Physiscs Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Torun Poland University of Wuppertal Germany Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Engineering Czech Technical University Czech Republic Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany

This paper gives new results on the design and experimental evaluation of an Iterative Learning control (ILC) law in a repetitive process setting. The experimental results given are from a gantry robot facility that has been extensively used in the benchmarking of linear model based ILC designs. An example is also given to demonstrate that this new design offers much superior performance in comparison to some previous designs based on the Roesser model for 2D linear systems.

关键词： Robots State-space methods Asymptotic stability Educational institutions Vectors Stability criteria

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A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems *

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IFAC Proceedings Volumes 2012年第16期45卷 1517-1522页

作者： Wen-Xiao Zhao Wei Xing Zheng Er-Wei Bai Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing P. R. China National Center for Mathematics and Interdisciplinary Sciences CAS Beijing P. R. China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 USA

In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s... 详细信息

关键词： Nonlinear ARX systems recursive identification local linear estimator almost sure convergence

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