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IEEE International Conference on Natural Language Processing and Knowledge engineering (NLP-KE)

作者： M. Shishibori D. Koizumi K. Ando S. Tsuge K. Kita Department of Information Science & Intelligent Systems Tokushima University Tokushima Department of Information Science & Intelligent Systems Tokushima University Tokushima Japan Department of Reliability-based Information Systems Engineering Faculty of Engineering Kagawa University Takamatsu Kanagawa Japan Department of Reliability-based Information Systems Engineering Kagawa University Kagawa Center for Advanced Information Technology Tokushima University Tokushima Japan

WWW image retrieval systems can retrieve the corresponding images to the query keyword from WWW, however every system cannot retrieve suitable images with high precision. In this paper, a new WWW image retrieval system using the image knowledge database is proposed. This system can show more suitable images by filtering retrieval results of the conventional system. If the query keyword is not registered in the database, the user must select the suitable ones from image data retrieved by the conventional system, and then features of selected images are registered into the database as the supervised data. If the query keyword is the registered one, more similar images to the supervised data in the database can be indicated in the top order. The experimental results show that the average precision of this system becomes 11.6 % better than the conventional system.

关键词： World Wide Web Information retrieval Image retrieval Image databases Spatial databases Content based retrieval Data engineering Reliability engineering Knowledge engineering systems engineering and theory

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Support Vector Based Novelty Detection for Fault Tolerant control

Support Vector Based Novelty Detection for Fault Tolerant Co...

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IEEE Conference on Decision and control

作者： S. Saludes M.J. Fuente CARTIF Parque Tecnológico de Boecillo P205 Valladolid Spain Department of Systems Engineering and Control Science Faculty University of Valladolid Valladolid Spain

This article presents a method for achieving fault tolerant control in the frame of the nonlinear IMC control scheme. The method consists on the minimization of a cost function in order to compute new controller parameters values. In addition to this, a support vector based novelty detector is used to detect faults in the plant. Simulation results for a continuous stirred tank reactor are presented.

关键词： Fault detection Fault tolerance control systems Neural networks Detectors Cost function Continuous-stirred tank reactor Manufacturing processes Fault diagnosis Machine learning

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IMPROVEMENT OF FAULT DETECTION METHOD FOR NONLINEAR BLACK-BOX systems BASED ON MULTI-FORM QUASI-ARMAX MODELING

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IFAC Proceedings Volumes 2005年第1期38卷 101-106页

作者： K. Kumamaru K. Inoue F. Tsubouchi T. Söderström Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Fukuoka Japan Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is used. A fault due to unexpected change in system parameters will appear as the change of identified model. Kullback discrimination Information (KDI) can then be used as the fault detection index to evaluate the distortion in identified model. Several schemes to improve the fault detection performance are proposed, as well as the realization of a kind of fault isolation function based on a recognition approach in the model parameter space. The effectiveness of the method is verified through simulation studies on the ship propulsion system constructed for benchmark test.

关键词： Fault detection Kullback discrimination information non-linear system parameter estimation quasi-ARMAX model ship propulsion system

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NEURO-FUZZY control OF A PH PLANT

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IFAC Proceedings Volumes 2005年第1期38卷 195-200页

作者： M.J. Fuente G.I. Sainz M. Alonso A. Aguado Department of Systems Engineering and Control. Faculty of Science University of Valladolid. Prado de la Magdalena s/n 47011 Valladolid Spain ETSII. University of Valladolid. Paseo del Cauce s/n 47011 Valladolid Spain Department of Automatic Control ICIMAF Cuba

This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calculate the gain of the controller. This neuro-fuzzy regulator has been tested in real-time on a bench plant. On-line results show that the designed control system allows the plant to operate in a range of pH values, despite perturbations and variations of the plant parameters, obtaining good performance at the desired workings points.

关键词： Fuzzy controller neural networks Nonlinear process control real pH plant gain scheduling

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Development of a WWW Image Retrieval System Using the Image Knowledge Database

Development of a WWW Image Retrieval System Using the Image ...

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IEEE自然语言处理与知识工程国际学术会议

作者： Masami SHISHIBORI Daichi KOIZUMI Kazuaki ANDO Satoru TSUGE Kenji KITA Department of Information Science & Intelligent Systems Faculty of Engineering Tokushima University 2-1 Minami-Josanjima-cho Tokushima-shi Tokushima 770-8506 Department of Information Science & Intelligent Systems Faculty of Engineering Tokushima University 2-1 Minami-Josanjima-cho Tokushima-shi Tokushima 770-8506 Department of Reliability-based Information Systems Engineering Faculty of Engineering Kagawa University 2217-20 Hayashi-cho Takamatsu-shi Kagawa 761-0396 Department of Information Science & Intelligent Systems Faculty of Engineering Tokushima University 2-1 Minami-Josanjima-cho Tokushima-shi Tokushima 770-8506 Center for Advanced Information Technology Tokushima University 2-1 Minami-Josanjima-cho Tokushima-shi Tokushima 770-8506

关键词： Development of a WWW Image Retrieval System Using the Image Knowledge Database image

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Bio-molecular and cellular detection using SPR sensor and all-transparent microfluidic platform

Bio-molecular and cellular detection using SPR sensor and al...

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IEEE Conference on Nanotechnology

作者： Kin Fong Lei Wing Cheung Law Yick-Keung Suen Wen J. Li Ho Pui Ho Chinlon Lin Siu-Kai Kong Centre for Micro and Nano Systems Faculty of Engineering Chinese University of Hong Kong Hong Kong China Center for Advanced Research in Photonics Faculty of Engineering Chinese University of Hong Kong Hong Kong China Department of Biochemistry Faculty of Science Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)0780391993

This paper reports an automated polymer based microfluidic analysis system integrated with a surface plasm on resonance (SPR) biosensor for detecting the specific binding of biomolecules and qualitatively monitoring of cell adhesion on the sensor surface. Micropumps, microchannels, and a SPR biosensor were integrated into a single polymer (PMMA) based microfluidic system. Because SPR based bio-detection requires optically transparent substrates, PMMA is a potential replacement for glass and silicon-glass microfluidic systems, if bio-compatibility and low-cost are desired. The integrated system has been studied for its potential applications in bio-molecules detection and drug-discovery. Two experiments, 1) monitoring the reaction between BSA-BSA antibody, and 2) monitoring the activities of living cells in the presence or absence of trypsin in RPMI-1640 medium, were conducted to show its biomedical applications. The experimental setup and results of these tests are presented in this paper

关键词： Biosensors Microfluidics Polymers Biomedical monitoring Resonance Molecular biophysics Computerized monitoring Adhesives Sensor systems Micropumps

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Mixed H2/H∞ and robust control of differential linear repetitive processes

Mixed H2/H∞ and robust control of differential linear repet...

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IEEE Conference on Decision and control

作者： W. Paszke K. Gakowski E. Rogers A. Kummert D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical University of Wuppertal Wuppertal Germany Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the first results on a mixed H 2 /H ∞ approach and on H 2 control in the presence of uncertainty in the process model.

关键词： Robust control control systems Linear systems Uncertainty Writing Disk drives Process control Iterative algorithms control engineering computing Computer science

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The influence of feedback/feedforward control on relaxed pass profile controllability of discrete linear repetitive processes

The influence of feedback/feedforward control on relaxed pas...

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International Workshop on Multidimensional (nD) systems

作者： L. Hladowski K. Galkowski E. Rogers A. Kummert D.H. Owens Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland University of Wuppertal Germany School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give the first results on how feedback/feedforward control action can be used to influence one form of controllability for processes with discrete dynamics.

关键词： Linear feedback control systems controllability Integrated circuit modeling control engineering computing Vectors Communication system control Computer science systems engineering and theory State-space methods Multidimensional systems

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MODEL-FREE INTELLIGENT control USING REINFORCEMENT LEARNING AND TEMPORAL ABSTRACTION-APPLIED TO pH control

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IFAC Proceedings Volumes 2005年第1期38卷 127-132页

作者： S. Syafiie F. Tadeo E. Martinez Department of Systems Engineering and Automatic Control Science Faculty University of Valladolid Prado de la Magdalena s/n. 47011 Valladolid. Spain Consejo Nacional de Investigaciones Científicas Técnicas Avellaneda 3657 3000 Santa Fe Argentina

This article presents a solution to pH control based on model-free intelligent control (MFIC) using reinforcement learning. This control technique is proposed because the algorithm gives a general solution for acid-base system, yet simple enough for its implementation in existing control hardware. In standard reinforcement learning, the interaction between an agent and the environment is based on a fixed time scale: during learning, the agent can select several primitive actions depending on the system state. A novel solution is presented, using multi-step actions (MSA): actions on multiple time scales consist of several identical primitive actions. This solves the problem of determining a suitable fixed time scale to select control actions so as to trade off accuracy in control against learning complexity. The application of multi-step actions on a simulated pH process shows that the proposed MFIC learns to control adequately the neutralization process.

关键词： learning control intelligent control online learning agents process control neutralization process pH control temporal abstraction model free

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Primary cosmic-ray proton and helium spectra at the knee energy region measured by the Tibet hybrid AS experiment

Primary cosmic-ray proton and helium spectra at the knee ene...

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29th International Cosmic Ray Conference, ICRC 2005

作者： Amenomori, M. Ayabe, S. Chen, D. Cui, S.W. Danzengluobu Ding, L.K. Ding, X.H. Feng, C.F. Feng, Z.Y. Gao, X.Y. Geng, Q.X. Guo, H.W. He, H.H. He, M. Hibino, K. Hotta, N. Hu, Haibing Hu, H.B. Huang, J. Huang, Q. Jia, H.Y. Kajino, F. Kasahara, K. Katayose, Y. Kato, C. Kawata, K. Labaciren Le, G.M. Li, J.Y. Lu, H. Lu, S.L. Meng, X.R. Mizutani, K. Mu, J. Munakata, K. Nagai, A. Nanjo, H. Nishizawa, M. Ohnishi, M. Ohta, I. Onuma, H. Ouchi, T. Ozawa, S. Ren, J.R. Saito, T. Sakata, M. Sasaki, T. Shibata, M. Shiomi, A. Shirai, T. Sugimoto, H. Takita, M. Tan, Y.H. Tateyama, N. Torii, S. Tsuchiya, H. Udo, S. Wang, H. Wang, X. Wang, Y.G. Wu, H.R. Xue, L. Yamamoto, Y. Yan, C.T. Yang, X.C. Yasue, S. Ye, Z.H. Yu, G.C. Yuan, A.F. Yuda, T. Zhang, H.M. Zhang, J.L. Zhang, N.J. Zhang, X.Y. Zhang, Y. Zhang, Yi Zhaxisangzhu Zhou, X.X. Department of Physics Hirosaki University Hirosaki 036-8561 Japan Department of Physics Saitama University Saitama 338-8570 Japan Faculty of Engineering Yokohama National University Yokohama 240-8501 Japan Key Lab. of Particle Astrophys. Chinese Academy of Sciences Institute of High Energy Physics Beijing 100049 China Department of Mathematics and Physics Tibet University Lhasa 850000 China Department of Physics Shandong University Jinan 250100 China Institute of Modern Physics South West Jiaotong University Chengdu 610031 China Department of Physics Yunnan University Kunming 650091 China Faculty of Engineering Kanagawa University Yokohama 221-8686 Japan Faculty of Education Utsunomiya University Utsunomiya 321-8505 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa 277-8582 Japan Department of Physics Konan University Kobe 658-8501 Japan Faculty of Systems Engineering Shibaura Institute of Technology Saitama 337-8570 Japan Department of Physics Shinshu University Matsumoto 390-8621 Japan Center of Space Science and Application Research Chinese Academy of Sciences Beijing 100080 China Advanced Media Network Center Utsunomiya University Utsunomiya 321-8585 Japan National Institute of Informatics Tokyo 101-8430 Japan Tokyo Metropolitan College of Aeronautical Engineering Tokyo 116-0003 Japan Shonan Institute of Technology Fujisawa 251-8511 Japan Advanced Research Institute for Science and Engineering Waseda University Tokyo 169-8555 Japan RIKEN Wako 351-0198 Japan

A hybrid experiment was carried out to study the cosmic-ray primary composition in the 'knee' energy region. The experimental set-up consists of the Tibet-II air shower array( AS ), the emulsion chamber ( EC ) and the burst detector ( BD ) which are operated simulteneously and provides us information on the primary species. For three-year operation, we have observed 177 γ -families ( ∑Eγ 20 TeV ) accompanying air showers with the shower size Ne × 105. Using this data set and a neural network method to select proton and helium induced events, the primary proton and helium energy spectra are obtained between 1015 and 1016. The proton spectrum, thus obtained, can be expressed by a single power-law function with a differential index of -3.01 ± 0.11 and -3.05 ± 0.12 based on the QGSJET+HD and SIBYLL+HD models, respectively, which are steeper than that extrapolated from the direct observations of -2.74 ± 0.01 vin the energy range below (1014eV. Our experiment suggests that the main component responsible for making the knee structure of the all-particle spectrum is composed of nuclei heavier than helium.

关键词： Helium

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