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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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Global academy'-remote network applications connecting Japan and Chile over GEMnet2 and R&E networks

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NTT Technical Review 2006年第5期4卷 28-38页

作者： Uose, Hisao Oinuma, Morihide Noguchi, Kazuto Sakai, Yoshihisa Tatematsu, Ken'ichi Vera, Eduardo S. Baloian, Nelson Pulgar, Hernán Ramos, Manuel Mujica, Luis Felipe NTT Advanced Technology Corporation Musashino-shi 180-858 Japan NTT Service Integration Laboratories NTT Photonics Laboratories of Japan IEEE IEICE ALMA-J Project Office National Astronomical Observatory of Japan Nagova University Nobeyama Radio Observatory University of Texas Austin Electrical Engineering and Computer Science Departments University of Chile AccessNova Program University of Tokyo Computer Science Department University of Chile Waseda University Japan Astronomy Department University of Chile ALMA Project Office Santiago Mining Section Andina Division CODELCO Andina Division Photonics Network Project IM2 Chile IM2

This article describes two demonstrations at the NTT Group Communication EXPO held at the Tokyo International Forum in December 2005. These showed visitors two of our trials on the feasibility of remotely operating instruments in Chile from Japan: an optical telescope and rock hammers in an underground copper mine. These applications use a relatively high bandwidth of around 100 Mbit/s and require short delay times for smooth interactive operation. To satisfy these requirements we used NTT's experimental research network GEMnet2 in collaboration with partner R&E (research and education) networks in North and South America. The demonstrations showed that Internet-based networks can handle interactive network applications with sufficient quality between two sites separated by almost the maximum possible distance on the Earth as long as the bandwidth and the route are carefully managed.

关键词： Remote control

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Incomplete inverse preconditioners

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ARI Bulletin of the Istanbul Technical University 2005年第3期54卷 48-64页

作者： Alvarado, Fernando Dag, Hasan Department of Electrical and Computer Engineering University of Wisconsin Madison 53706 United States Computational Science and Engineering Program Informatics Institute Istanbul Technical University 34469 Maslak Istanbul Turkey

Incomplete LU factorization is a valuable preconditioning approach for sparse iterative solvers. An "ideal" but inefficient preconditioner for the iterative solution of Ax = b is A-1 itself. This paper describes a preconditioner based on sparse approximations to partitioned representations of A-1, in addition to the results of implementation of the proposed method in a shared memory parallel environment. The partitioned inverses are normally somewhat sparse. Their sparsity can be enhanced with suitable ordering and partitioning algorithms. Sparse approximations to these partitioned inverse representations can be obtained either by discarding selected nonzero entries of these inverses or by precluding the creation of some inversion fills. Experimental results indicate that the use of these partitioned incomplete inverses as preconditioners results in excellent highly parallel preconditioners.

关键词： Conjugate gradient Iterative methods Parallel computation Partitioned inverse method Preconditioner

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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An efficient decryption method for RSA cryptosystem

An efficient decryption method for RSA cryptosystem

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19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Hwang, Ren-Junn Su, Feng-Fu Yeh, Yi-Shiung Chen, Chia-Yao Department of Computer Science and Information Engineering TamKang University Tamsui Taipei 251 Taiwan Degree Program of Electrical Engineering and Computer Science National Chiao Tung University Hsinchu 300 Taiwan

ISBN: (纸本)0769522491

This paper proposes an efficient method to implement RSA decryption algorithm. RSA cryptosystem is the most attractive and popular security technique for many applications, such as electronic commerce and secure internet access. It has to perform modular exponentiation with large exponent and modulus for security consideration. The RSA cryptosystem takes great computational cost. In many RSA applications, user uses a small public key to speed up the encryption operation. However, the decryption operation has to take more computational cost to perform modular exponentiation by this case. This paper proposes an efficient decryption method not only based on Chinese Remainder Theorem (CRT) but also the strong prime of RSA criterion. The proposed decryption method only takes 10% computational costs of the traditional decryption method. It also reduces 66% computational costs than that of decryption methods based on CRT only. In a word, the speed of our proposed method is almost 2.9 times faster than the decryption method based on CRT only. The proposed method enhances the performance of the RSA decryption operation. © 2005 IEEE.

关键词： Cryptography

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Edge detection using clustering algorithms

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WSEAS Transactions on computers 2005年第5期4卷 417-423页

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Istanbul Technical University Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Istanbul 34469 Turkey

Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.

关键词： Edge detection

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MEG adaptive noise suppression using Fast LMS

MEG adaptive noise suppression using Fast LMS

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Ahmar, Nayef E. Simon, Jonathan Z. Department of Electrical and Computer Engineering University of Maryland College Park United States Department of Biology University of Maryland College Park United States Bioengineering Program University of Maryland College Park United States

Magnetoencephalography (MEG) measures magnetic fields generated by electric currents in the brain, non-invasively and with millisecond temporal resolution. Typical signals are 10-13 T, so noise contamination due to external magnetic fields is a serious concern. Digital signal processing is typically required in addition to magnetic shielding. Using three reference channels, displaced from the head, to measure the noise, we apply adaptive filtering to subtract out estimates of the noise, via the Block Least-Mean-Square ("Fast LMS") method. The algorithm is tested by its effects on the number and distribution of channels which have statistically significant signals (distinguishable from background noise at a specified false-positive rate). We show that Fast LMS both increases the number significant channels and reduces the variance of false positives. © 2005 IEEE.

关键词： Magnetoencephalography

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On-line system identification using context discernment

On-line system identification using context discernment

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International Joint Conference on Neural Networks, IJCNN 2005

作者： Holmstrom, Lars Santiago, Roberto Lendaris, George G. NW Computational Intelligence Laboratory Portland State University Portland OR 97201 Systems Science Ph.D. Program Department of Systems Science and Electrical and Computer Engineering

ISBN: (纸本)0780390482

Mathematical models are often used in system identification applications. The dynamics of most systems, however, change over time and the sources of these changes cannot always be directly determined or measured. To maintain model accuracy, it is desirable to design system identifiers that can adapt to these dynamical shifts. We use reinforcement learning to train an agent to recognize dynamical changes in a modeled system and to estimate new parameter values for the model. The subsequent actions of this agent are characterized as "moving" the parameterized model on an optimal trajectory in model parameter space. It is found that this method is capable of quickly and accurately discerning the correct parameter values. © 2005 IEEE.

关键词： Identification (control systems)

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Near-field inverse scattering: The current state of theory and experiment

Near-field inverse scattering: The current state of theory a...

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Computational Optical Sensing and Imaging, COSI 2005

作者： Carney, P. Scott Schotland, John C. Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana IL United States Department Bioengineering University of Pennsylvania Philadelphia PA United States

We will discuss the forward problem and recent progress in the theory of inverse scattering for various modalities of near-field optics. Experimental demonstration will be presented and ongoing efforts in experimental... 详细信息

ISBN: (纸本)155752789X

关键词： Forward scattering

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Complex valued equivalent-current dipole fits for MEG responses

Complex valued equivalent-current dipole fits for MEG respon...

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Wang, Yadong Ahmar, Nayef E. Xiang, Juanjuan Ma, Ling Poeppel, David Simon, Jonathan Z. Cognitive Neuroscience of Language Laboratory University of Maryland College Park Department of Electrical and Computer Engineering University of Maryland College Park Bioengineering Program University of Maryland College Park Department of Biology University of Maryland College Park

Complex numbers appear naturally in biological systems in the context of the Fourier transform. In particular, physiological magnetic field data from whole head magneto-encephalography (MEG) is complex after a Fourier transform. The whole-head MEG Steady State Response (SSR) to a stationary modulated stimulus results in a complex magnetic field for each MEG channel, from the frequency corresponding to that of the stimulus modulation. This complex data set is used to estimate the neural current sources generating the magnetic field, naturally leading to complex current sources. We show that standard inverse methods of estimating the current sources, such as the single equivalent-current dipole, generalize to complex sources in a useful and straightforward manner. The usage and utility of the complex magnetic field and the complex neural current source are demonstrated using examples from auditory SSR experiments. © 2005 IEEE.

关键词： Equivalent circuits

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