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ICSICT-2006: 2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Chan, Mansun Yeung, Chi-Kong Wang, Yijin He, Jin Ingebrandt, Sven Offenhaeusser, Andreas Dept. of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Bioengineering Graduate Program Hong Kong University of Science and Technology Hong Kong Hong Kong Institute of Microelectronic Peking University Beijing China Leo-Brandt Str. 52425 Juelich Germany

ISBN: (纸本)1424401615

This paper describes the development of a Multi-Electrode Array (MEA) with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit (IC) fabrication process. Unlike conventional electronic system, bio-system requires a special handling environment that is uncommon in conventional IC technology. The work presented here demonstrated the interaction between electrically active cells such as neuron and cardiac cells and an IC based system. Through a carefully designed array, and ionic action of a cell, extracellular signals can be captured and imaged. © 2006 IEEE.

关键词： Cellular radio systems

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GA Optimization of OBF TS Fuzzy Models with Linear and Non Linear Local Models

GA Optimization of OBF TS Fuzzy Models with Linear and Non L...

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Brazilian Symposium on Neural Networks

作者： Anderson V. Medeiros Wagner C. Amaral Ricardo J. G. B. Campello School of Electrical and Computer Engineering State University of Campinas Sao Paulo Brazil Graduate Program in Computer Science Catholic University of Santos Sao Paulo Brazil

ISBN: (纸本)9780769531960

OBF (Orthonormal Basis Function) Fuzzy models have shown to be a promising approach to the areas of nonlinear system identification and control since they exhibit several advantages over those dynamic model topologies usually adopted in the literature. Although encouraging application results have been obtained, no automatic procedure had yet been developed to optimize the design parameters of these models. This paper elaborates on the use of a genetic algorithm (GA) especially designed for this task, in which a fitness function based on the Akaike information criterion plays a key role by considering both model accuracy and parsimony aspects. The use of linear (actually affine) and nonlinear local models is also investigated. The proposed methodology is evaluated in the modeling of a real nonlinear magnetic levitation system.

关键词： Fuzzy control Fuzzy systems Nonlinear systems Control system synthesis Automatic control Nonlinear control systems Nonlinear dynamical systems Topology Design optimization Genetic algorithms

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Reconfigurable crossbar switch architecture for network processors

Reconfigurable crossbar switch architecture for network proc...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： H.C. Freitas M.B. Carvalho A.M. Amaral A.R.M. Diniz C.A.P.S. Martins L.E.S. Ramos Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Brazil Computer Science Rutgers University NJ USA

This paper presents the proposal and development of a reconfigurable crossbar switch (RCS) architecture for network processors. Its main purpose is to increase the performance, and flexibility for environments with multiprocessors and computer clusters. The results include VHDL simulation of RCS and the use of it in a broadcast function implementation, found in message passing support middleware

关键词： Switches Engines Field programmable gate arrays Network topology computer architecture Proposals Communication switching Circuit topology Broadcasting Application specific integrated circuits

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Custom error control schemes for energy efficient bluetooth sensor networks

Custom error control schemes for energy efficient bluetooth ...

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International Symposium on Telecommunications

作者： Joao H. Kleinschmidt Walter C. Borelli Marcelo E. Pellenz Department of Telematics School of Electrical and Computer Engineering State University of Campinas Sao Paulo Brazil Graduate Program in Computer Science Pontifical Catholic University of Paraná Curitiba Parana Brazil

This paper analyzes the effect of custom error control schemes on the energy efficiency in Bluetooth sensor networks. The energy efficiency metric considers in just one parameter the energy and reliability constraints of the wireless sensor networks. New packet types are introduced using some error control strategies in the AUX1 packet, such as Hamming and BCH codes, with and without CRC for error detection. Two adaptive techniques are proposed that change the error control strategy based on the number of hops traversed by a packet through the network. The performance results are obtained through simulations in a channel with Rayleigh fading for networks with different number of hops, showing that error control can improve the energy efficiency of a Bluetooth-based sensor network.

关键词： Error correction Energy efficiency Bluetooth Wireless sensor networks Media Access Protocol Energy consumption Sensor phenomena and characterization Automatic repeat request Analytical models Cyclic redundancy check

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Chitosan for biofunctionalization of microsystems

Chitosan for biofunctionalization of microsystems

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2006 IEEE/NLM Life science Systems and Applications Workshop, LiSA 2006

作者： Koev, Stephan T. Powers, Michael A. Badilita, Vlad Yi, Hyunmin Bentley, William E. Payne, Gregory F. Rubloff, Gary W. Ghodssi, Reza Department of Electrical and Computer Engineering University of Maryland College Park MD 20742 Department of Materials Science and Engineering University of Maryland College Park MD 20742 Department of Chemical Engineering University of Maryland College Park MD 20742 University of Maryland College Park MD 20742 University of Maryland College Park MD 20742 Bioengineering Graduate Program University of Maryland College Park MD 20742

ISBN: (纸本)1424402786

We present the use of the polysaccharide chitosan for immobilizing biomolecules on microfabricated device surfaces. The main advantages of chitosan are its abundance of primary amine groups and its ability to be electrodeposited. Biomolecules are easily attached to chitosan's amines by standard glutaraldehyde chemistry. The electrodeposition of chitosan allows accurate spatial and temporal control of biomolecule placement. We have demonstrated this biofunctionalization method for two different BioMEMS devices: a biophotonic sensor and a micromechanical biosensor. We have successfully assembled probe DNA on each of them and detected hybridization with target DNA as a demonstration of sensor operation. Here, we briefly present the fabrication procedure and testing results for both of these BioMEMS sensing devices. © 2006 IEEE.

关键词： Microsystems

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A Supervised Constructive Neuro-Immune Network for Pattern Classification

A Supervised Constructive Neuro-Immune Network for Pattern C...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Knidel L. Nunes de Castro F.J. Von Zuben Laboratory of Bioinformatics and Bioinspired Computing-LBiC Department of Computer Engineering and Industrial Automation-DCA School of Electrical and Computer Engineering-FEEC State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program in Computer Science Catholic University of Santos Sao Paulo Brazil

This paper proposes a supervised version of a learning algorithm for a constructive neuro-immune network. The proposed methodology is developed by taking ideas from the immune system and learning vector quantization. The resulting classification algorithm is characterized by high-performance, similar to the ones produced by alternative methods in the literature, and parsimonious solutions, with a much smaller set of prototypes per class when compared with the other approaches. The number of prototypes is automatically defined by the convergence criterion. The algorithm requires a single user-defined parameter for training, associated with the convergence criterion, and the computational cost is sufficiently reduced to support applications involving large data sets.

关键词： Pattern classification Immune system Neurons Supervised learning Vector quantization Classification algorithms Prototypes Clustering algorithms Unsupervised learning Artificial neural networks

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Capturing Cellular Communication with Guided Electrode Network on a Silicon Integrated Circuit Chip

Capturing Cellular Communication with Guided Electrode Netwo...

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2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Mansun Chan Chi-Kong Yeung Yijin Wang Jin He Sven Ingebrandt Andreas Offenhaeusser Dept.of Electronic and Computer Engineering Hong Kong University of Science & Technology Bioengineering Graduate Program Hong Kong University of Science & Technology Institute of Microelectronic Peking University Juelich Research Center Institute for Thin Films and Interfaces(ISG-2)Leo-Brandt Str.52425 JuelichGermany

ISBN: (纸本)1424401607

This paper describes the development of a Multi-Electrode Array(MEA)with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit(IC) fabrication *** conventional electronic system,bio-system requires a special handling environment that is uncommon in conventional IC *** work presented here demonstrated the interaction between electrically active cells such as neuron and cardiac cells and an IC based *** a carefully designed array,and ionic action of a cell, extracellular signals can be captured and imaged.

关键词： Capturing Cellular Communication with Guided Electrode Network on a Silicon Integrated Circuit Chip

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Transforming K-12 education via the collaborative large-scale engineering analysis network for environmental research (CLEANER) project

Transforming K-12 education via the collaborative large-scal...

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113th Annual ASEE Conference and Exposition, 2006

作者： Eschenbach, Elizabeth Johnson, James H. Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States Board of Scientific Counselors Executive Committee U.S. Environmental Protection Agency Office of Research and Development United States EPA's Science Advisory Board Department of Energy-sponsored HBCU/MI Environmental Technology Consortium Board Environmental Studies and Toxicology and the Engineering Council of the American Society for Engineering Education United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute ot Technology U.S. Air Forcer United States Army's Aberdeen Proving Ground NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Civil Engineering Washington University St. Louis United States Environmental Engineering Science Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States U.S. EPA Office of Research and Development United States National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University of Illinois United States

The Collaborative Large-scale engineering Analysis Network for Environmental Research (CLEANER) Project Office has been established with funding from the National science Foundation (NSF) to the University of Illinois Urbana-Champaign (UIUC) and a coalition of 11 other institutions. The project office is coordinating the creation of a strategic plan consisting of research, cyberinfrastructure, and education plans that set forth a roadmap for the collaborative engineering analysis network for the study of environmental problems. This report will be completed by July 2007 and requires input from K-12 educators, administrators and other stakeholders in K-12 education. This paper describes the CLEANER project, provides an example of the CLEANER Education Committee's vision for the K-12 area and lists contacts for further information. The intention of this paper is to elicit input from the K-12 engineering education community, including K-12 educators, on how the CLEANER Education Plan could better meet the future needs of K-12 students and educators © American Society for engineering Education, 2006.

关键词： engineering education

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Real-time organ motion tracking and fast image registration system for MRI-guided surgery

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Systems and computers in Japan 2006年第1期37卷 83-92页

作者： Tokuda, Junichi Hirano, Masaya Tsukamoto, Tetsuji Dohi, Takeyoshi Hata, Nobuhiko Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan GE Yokogawa Medical Systems Ltd. Hino 191-8503 Japan International Society for Computer-Aided Surgery Japan Society for Computer-Aided Surgery Japan Society for Magnetic Resonance in Medicine GE Yokogawa Medical Systems Ltd. Imaging Application Tech. Center MR Group R and D Laboratory Technology Center GE Yokogawa Medical Systems Ltd. Society for Magnetic Resonance in Medicine Graduate School of Information Science and Technology Society for Life Support Technology Japan Society for Organ Preservation Biology and Medicine Society for Precision Engineering Society for Medical Image Computing and Computer Assisted Intervention International Union for Physics and Engineering Sciences in Medicine JSMEBE Japan Society for Life Assistance Technology Brigham and Women's Hospital Harvard Medical School MR Therapy Program

The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging time of MRI, that it is difficult to capture the respiratory organ motion. It is often a constraint that the patient must hold his or her breath, especially in the treatment of the abdominal region. Consequently, this paper proposes a method of eliminating this constraint in MRI-guided surgery by real-time monitoring of the movement of the organ involved in the surgery by means of the signal derived from MRI. Specifically, the navigator echo is extracted in imaging during surgery. The movement of the organ involved in surgery is detected on the basis of the change in the calculated projection profile, and the results are presented to the surgeon. In this study, the procedure is built into a 1.5-T clinical MRI system. The feasibility of the proposed system was examined under clinical conditions by evaluating its accuracy and delay in a phantom experiment, and also in an in vivo experiment on the liver of a volunteer. The results are reported in this paper. © 2005 Wiley Periodicals, Inc.

关键词： Motion estimation

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Chitosan for Biofunctionalization of Microsystems

Chitosan for Biofunctionalization of Microsystems

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IEEE/NLM Life science Systems and Applications Workshop

作者： Stephan T. Koev Michael A. Powers Vlad Badilita Hyunmin Yi William E. Bentley Gregory F. Payne Gary W. Rubloff Reza Ghodssi Institute for Systems Research ISR University of Maryland College Park MD USA University System of Maryland Adelphi MD US Department of Materials Science and Engineering University of Maryland College Park MD USA Department of Chemical Engineering University of Maryland College Park MD 20742 University of Maryland Biotechnology Institute (UMBI) University of Maryland College Park MD 20742 Bioengineering Graduate Program University of Maryland College Park MD 20742 University of Maryland College Park MD USA University of Maryland Biotechnology Institute College Park MD USA Institute for Systems Research (ISR) University of Maryland College Park MD 20742 Department of Materials Science and Engineering University of Maryland College Park MD 20742 Department of Electrical and Computer Engineering University of Maryland College Park MD 20742 Institute for Systems Research (ISR) University of Maryland College Park MD 20742

ISBN: (纸本)1424402778

We present the use of the polysaccharide chitosan for immobilizing biomolecules on microfabricated device surfaces. The main advantages of chitosan are its abundance of primary amine groups and its ability to be electrodeposited. Biomolecules are easily attached to chitosan 's amines by standard glutaraldehyde chemistry. The electrodeposition of chitosan allows accurate spatial and temporal control of biomolecule placement. We have demonstrated this biofunctionalization method for two different bioMEMS devices: a biophotonic sensor and a micromechanical biosensor. We have successfully assembled probe DNA on each of them and detected hybridization with target DNA as a demonstration of sensor operation. Here, we briefly present the fabrication procedure and testing results for both of these bioMEMS sensing devices

关键词： DNA Biosensors Molecular biophysics Probes Micromechanical devices Optical sensors Optical surface waves Optical interferometry Assembly Biomedical optical imaging

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