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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： I.J. Rudas B. Bede H. Nobuhara K. Hirota Department of Intelligent Engineering Systems John von Neumann Faculty of Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Department of Computational Intelligence and Systems Science Tokyo Institute of Technology Yokohama Japan

Recently it has been shown that sum and product are not the only operations that can be used in order to define concrete approximation operators but several operations provided by fuzzy logic can be used. In this sense, in the present paper, pseudo-linear approximation operators of Shepard-type are studied from the practical point of view, in function approximation. It is shown that in several cases these outperform classical approximation operators based on sum and product operations.

关键词： Function approximation Approximation methods Polynomials computational intelligence Fuzzy logic Intelligent systems Competitive intelligence Systems engineering and theory informatics Concrete

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Identification of Electric Conductivity and Impedance of Reinforced Concrete by Boundary Element Inverse Analysis

Identification of Electric Conductivity and Impedance of Rei...

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The 10th EPMESC

作者： Masato Yoshida Kazuhiro Suga M. Ridha Kenji Amaya Shigeru Aoki GraduateSchool of Engineering Toyo University Japan Center for Computational Mechanics Research Toyo University 2-36-5 Hakusan Bunkyo-ku Tokyo Japan Department of Mechanical Engineering Syiah Kuala University Banda Aceh Indonesia Department of Mechanical and Enviromental Informatics Tokyo Institute of Technology 2-12-1 Ookayama Meguroku Tokyo 152-8552 Japan Department of Computational science and Engineering Toyo University Japan

A new method is introduced for identifying the electrical conductivity of concrete and the impedance of steel-concrete interface by using some potential data which are measured on the concrete surface

关键词： Electric Conductivity, Impedance, Reinforced Concrete, Boundary Element Method, Inverse Analysis

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Biological network epitomes via topological compression

Biological network epitomes via topological compression

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IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

作者： Gil Alterovitz Marco F. Ramon Health Science and Technology/Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge USA Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology / Harvard Medical School- Partners Center for Genetics and Genomics Boston 02115 USA.

High-throughput generation of new types of relational biological datasets is creating a demand for network-based signal processing and pattern recognition to provide new insights. Such networks are often too large to interpret visually and too complicated to be explained solely based on local topological properties. Just as signal processing and statistical techniques have been used in traditional, sequential-based biological datasets, so too are methodologies needed to automatically discern patterns in the huge, emerging networks. One way to do this is by transforming these very large networks into discernable epitomes, or abstracts, of the original networks. This work presents an approach for doing this via topological compression. Through capturing nodes' global topologies and subsequent compression, a new network epitome can be derived. Here, this is done with an E. Coli gene regulation network, resulting in biological findings that could not be derived from the local topology of the original network.

关键词： Biological information theory Network topology Genomics Bioinformatics Biomedical signal processing Compression algorithms Visualization Biology Gas insulated transmission lines Computer science

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Gene lethality detection across biological network domains: Hubs versus stochastic global topological analysis

Gene lethality detection across biological network domains: ...

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IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

作者： Gil Alterovitz Vinayak Muralidhar Marco F. Ramoni Health Science and Technology/Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge USA Harvard Medical School-Partners Center for Genetics and Genomics Boston USA Harvard-MIT Division of Health Sciences and Technology Children's Hospital Informatics Program Boston USA

In this paper, we investigate the properties of lethal genes in E. coli, our model organism. Topological analysis of networks of functional interactions among genes has shown that lethal genes share common local connectivity properties. In this paper, we analyze cellular networks across three domains. We show that a stochastic global topological analysis, via random walks, is more effective at predicting gene lethality than simply looking at local topology using the standard hub-based method. We also introduce the possibility of using metabolic pathways to understand lethal genes, as regulating these pathways is among one of the most important functions of the gene-encoded proteins. Additionally, we analyze lethal genes in terms of the Gene Ontology (GO) and find that the graph forms two highly connected clusters that are each GO enriched for specific terms. We also find that lethal metabolic regulators are extremely enriched. Finally, we provide applications of the work and avenues for future research.

关键词： Stochastic processes Proteins Organisms Humans Genomics Bioinformatics Databases Genetics Network topology Production

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Crystal-melt interfacial free energies in hcp metals: A molecular dynamics study of Mg

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Physical Review B 2006年第2期73卷 024116-024116页

作者： D. Y. Sun M. I. Mendelev C. A. Becker K. Kudin Tomorr Haxhimali M. Asta J. J. Hoyt A. Karma D. J. Srolovitz Department of Physics East China Normal University Shanghai-200062 China Materials and Engineering Physics Program Ames Laboratory Ames Iowa USA Department of Materials Science and Engineering Northwestern University Evanston Illinois 60208 USA Princeton Materials Institute Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA Department of Physics Northeastern University Boston Massachusetts USA Department of Chemical Engineering and Materials Science Center for Computational Science and Engineering University of California Davis Davis California 95616 USA Sandia National Laboratories MS 1411 Albuquerque New Mexico 87185 USA

Crystal-melt interfacial free energies (γ) are computed for hcp Mg by employing equilibrium molecular-dynamics (MD) simulations and the capillary-fluctuation method (CFM). This work makes use of a newly developed embedded-atom-method (EAM) interatomic potential for Mg fit to crystal, liquid, and melting properties. We describe how the CFM, which has previously been applied to cubic systems only, can be generalized for studies of hcp metals by employing a parametrization for the orientation dependence of γ in terms of hexagonal harmonics. The method is applied in the calculation of the Turnbull coefficient (α) and crystalline anisotropies of γ. We obtain a value of α=0.48, with interfacial free energies for different high-symmetry orientations differing by approximately 1%. These results are compared to those obtained in previous MD-CFM studies for cubic EAM metals as well as experimental studies of solid-liquid interfaces in hcp alloys. In addition, the implications of our results for the prediction of dendrite growth directions in hcp metals are discussed.

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Collective coordinate control of density distributions

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Physical Review E 2006年第3期74卷 031104-031104页

作者： Obioma U. Uche Salvatore Torquato Frank H. Stillinger Department of Chemical Engineering Princeton University Princeton New Jersey 08544 USA Department of Chemistry Princeton University Princeton New Jersey 08544 USA Princeton Institute for the Science and Technology of Materials Princeton University Princeton New Jersey 08544 USA Program in Applied & Computational Mathematics Princeton University Princeton New Jersey 08544 USA Princeton Center for Theoretical Physics Princeton University Princeton New Jersey 08544 USA

Real collective density variables C(k) [cf. Eq. (1.3)] in many-particle systems arise from nonlinear transformations of particle positions, and determine the structure factor S(k), where k denotes the wave vector. Our objective is to prescribe C(k) and then to find many-particle configurations that correspond to such a target C(k) using a numerical optimization technique. Numerical results reported here extend earlier one- and two-dimensional studies to include three dimensions. In addition, they demonstrate the capacity to control S(k) in the neighborhood of ∣k∣=0. The optimization method employed generates multiparticle configurations for which S(k)∝∣k∣α, ∣k∣⩽K, and α=1, 2, 4, 6, 8, and 10. The case α=1 is relevant for the Harrison-Zeldovich model of the early universe, for superfluid He4, and for jammed amorphous sphere packings. The analysis also provides specific examples of interaction potentials whose classical ground states are configurationally degenerate and disordered.

关键词： STATISTICAL MECHANICS REALIZABILITY SYSTEM

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Conduction heat transfer problem solution using the method of fundamental solutions with the dual reciprocity method

Conduction heat transfer problem solution using the method o...

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2005 ASME Summer Heat Transfer Conference, HT 2005

作者： Erdönmez, Cengiz Saygin, Hasan Institute of Informatics Computational Science and Engineering Program Istanbul Technical University Maslak Istanbul 34469 Turkey Institute of Energy Istabul Technical University Maslak Istanbul 34469 Turkey

ISBN: (纸本)0791847314

The method of fundamental solutions (MFS) is first proposed in 1964 by Kupradze and theoretical basis of this method is constructed at the end of 1980's. As a meshless method, no domain meshing is required for MFS. Fundamental solutions are used to solve problems without coping with the singularity on the boundary because of the fictitious boundary defined containing the domain of the problem. In this paper effectiveness of the MFS will be introduced by two test problem for the homogeneous and inhomogeneous modified helmholtz equations. Inhomogeneous terms are approximated by using the method of particular solutions through the dual reciprocity method. The conduction heat transfer problem is defined and transformed to the corresponding elliptic partial differential equation by using finite difference and the method of lines method which gives an inhomogeneous helmholtz equation. Then the problem is solved iteratively by using the MFS. Two test problem are solved by both the finite element method (FEM) and MFS and compared in the figures. It can be seen that as a meshless method, MFS gives very good results for the test problems. The thermal shock problem presented here also gives accurate solutions by using MFS and agrees well with the FEM solution. Copyright © 2005 by ASME.

关键词： Heat conduction

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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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Optimal phase-tracking of the nonlinear circadian oscillator

Optimal phase-tracking of the nonlinear circadian oscillator

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2005 American Control Conference, ACC

作者： Bagheri, Neda Stelling, Jörg Doyle III, Francis J. Department of Electrical and Computer Engineering University of California Santa Barbara Santa Barbara CA 93106 United States Institute of Computational Science ETH Zentrum HRS H 28 8092 Zürich Switzerland Department of Chemical Engineering Biomolecular Science and Engineering Program University of California Santa Barbara Santa Barbara CA 93106 United States

Through investigation of transient phase characteristics, a methodology is developed to optimize the phase resetting properties of robust nonlinear biological oscillators;in particular, those of the circadian rhythm. This pacemaker is an autonomous chemical oscillator with a period close to 24 hours. Research in chronobiology indicates that light stimuli can be used to delay or advance the phase of the oscillator, allowing it to synchronize physiological processes and govern daily fluctuations in the core body. This paper proves that a circadian oscillator optimally recovers extreme phase difference (half the nominal period) within 4-days. © 2005 AACC.

关键词： Oscillators (electronic)

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A comparative evaluation of competitive learning algorithms for edge detection enhancement

A comparative evaluation of competitive learning algorithms ...

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13th European Signal Processing Conference, EUSIPCO 2005

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Ersoy, Okan Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Maslak Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Maslak Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Maslak Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Maslak Istanbul 34469 Turkey Purdue University School of Electrical and Computer Engineering West Lafayette IN United States

ISBN: (纸本)1604238216

Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance edges, followed by an edge detector to locate the edges. In this way, more detailed and relatively more unbroken edges can be found as compared to the results when an edge detector is applied alone. The algorithms compared are K-Means, SOM and SOGR for clustering, and Canny and GED for edge detection. Perceptionally, best results were obtained with the GED-SOGR algorithm. The SOGR is also considerably simpler and faster than the SOM algorithm.

关键词： Edge detection

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