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2022 IEEE International Multi-Conference on Engineering, computer and Information Sciences, SIBIRCON 2022

作者： Markov, Sergey I. Shurina, Ella P. Itkina, Natalya B. Trofimuk Institute of Petroleum Geology and Geophysics SB RAS Lab. of Math. Modeling of Multiphysics Phenomena in Native and Artif. Multiscale Heterogeneous Media Department of Computer Technologies Novosibirsk State Technical University Novosibirsk Russia Laboratory of Analysis and Optimization of Nonlinear Systems Institute of Computational Technologies Novosibirsk State Technical University SB RAS Department of Computer Technologies Novosibirsk Russia

ISBN: (纸本)9781665464802

This work deals with the problem of reconstructing the thermal conductivity coefficient of ice-gas-hydrate rocks. It is proposed to use the results of direct mathematical simulation of heat transfer processes in a heterogeneous porous medium with different phase composition, and the principles of energy conservation law. The results of high-resolution X-ray tomography are applied to construct a digital model of the gas-hydrate-containing medium using machine learning procedure and special thresholding methods. A discrete geometrical model of the digital model is constructed by methods based on adapted symplectic partitions. In contrast to existing solutions to the above problem, our approach is not based on the application of phenomenological reduced models. We apply continuum models of the medium under study, and the heat transfer process. This approach makes it possible to obtain physically relevant results for determining the thermal conductivity coefficient of a heterogeneous medium using its digital analogue. The influence of the phase composition and contrast of the thermal characteristics on the value of thermal conductivity coefficient of ice-gas-hydrate-containing samples is presented. © 2022 IEEE.

关键词： Porous materials

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Enhanced Directionality of Emission of the On-Threshold Modes of a High Refractive Index Microdisk Laser Due to a Small Piercing Hole 3

Enhanced Directionality of Emission of the On-Threshold Mode...

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3rd IEEE Ukraine Conference on Electrical and computer Engineering, UKRCON 2021

作者： Repina, Anna I. Ketov, Ilya V. Oktyabrskaya, Alina O. Spiridonov, Alexander O. Karchevskii, Evgenii M. Kazan Federal University Department of System Analysis and Information Technologies Kazan Russia Kazan Federal University Department of Applied Mathematics Kazan Russia Kazan Federal University Laboratory of Computational Technologies and Computer Modeling Kazan Russia

ISBN: (纸本)9781665400947

We study, using the integral-equation-based in-house guaranteed-convergence numerical code, the effect of a circular air hole on the frequency, threshold gain and directionality of emission of the whispering-gallery modes of a two-dimensional model of circular-disk microcavity laser. We show that a small hole can enhance the directionality greatly and leave the threshold gain intact, if disk's refractive index is large enough and hole's location is chosen properly. This location should be close to the area where the same uniform disk, if illuminated with a plane wave, displays a broadband focusing in the form of hot spot called photonic jet. © 2021 IEEE.

关键词： Refractive index

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Determination of the Thermal Conductivity of Gas-Hydrate-Containing Porous Media using Discrete Geometric Analogues

Determination of the Thermal Conductivity of Gas-Hydrate-Con...

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IEEE Region 8 International Conference on computational technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Sergey I. Markov Ella P. Shurina Natalya B. Itkina Department of Computer Technologies Novosibirsk State Technical University Laboratory of Mathematical Modeling of Multiphysics Phenomena in Native and Artificial Multiscale Heterogeneous Media Trofimuk Institute of Petroleum Geology and Geophysics SB RAS Novosibirsk Russia SB RAS Department of Computer Technologies Laboratory of Analysis and Optimization of Nonlinear Systems Institute of Computational Technologies Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9781665464819

This work deals with the problem of reconstructing the thermal conductivity coefficient of ice-gas- hydrate rocks. It is proposed to use the results of direct mathematical simulation of heat transfer processes in a heterogeneous porous medium with different phase composition, and the principles of energy conservation law. The results of high-resolution X-ray tomography are applied to construct a digital model of the gas-hydrate-containing medium using machine learning procedure and special thresholding methods. A discrete geometrical model of the digital model is constructed by methods based on adapted symplectic partitions. In contrast to existing solutions to the above problem, our approach is not based on the application of phenomenological reduced models. We apply continuum models of the medium under study, and the heat transfer process. This approach makes it possible to obtain physically relevant results for determining the thermal conductivity coefficient of a heterogeneous medium using its digital analogue. The influence of the phase composition and contrast of the thermal characteristics on the value of thermal conductivity coefficient of ice-gas-hydrate-containing samples is presented.

关键词： Adaptation models computational modeling Thermal engineering Conductivity X-ray tomography Rocks Mathematical models

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Numerical modeling of active microcavities with piercing holes using the Muller boundary integral equations and the Galerkin method

Numerical modeling of active microcavities with piercing hol...

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International Seminar Day on Diffraction

作者： Alina O. Oktyabrskaya Alexander O. Spiridonov Evgenii M. Karchevskii Institute of Computational Mathematics and Information Technologies Kazan Federal University Russia Laboratory of Computational Technologies and Computer Modeling Kazan Federal University Russia Department of Applied Mathematics Kazan Federal University Russia

ISBN: (数字)9781728158372

ISBN: (纸本)9781728158389

The current paper proposes a Galerkin method for calculating spectral characteristics of microcavity lasers with piercing holes. If boundaries of the cavity and holes are circles, then entries of the matrix have explicit expressions computed in the present work. Using the proposed algorithm, we calculate directivities, spectra, and thresholds of laser modes. Numerical experiments demonstrate that, by varying the location of the hole, we can increase the directivity, while the threshold gain stays low.

关键词： Eigenvalues and eigenfunctions Microcavities Mathematical model Method of moments Diffraction Integral equations Lasers

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Application of the conditional gradient method to a network resource allocation problem with several classes of users

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Journal of Physics: Conference Series 2019年第3期1158卷

作者： I V Konnov A Yu Kashuba Department of System Analysis and Information Technologies Kazan Federal University Kazan 420008 Russia Scientific Research Laboratory 'Computational Technologies and Computer Modeling' Institute of Computational Mathematics and Information Technologies Kazan Federal University Kazan 420008 Russia

We consider a general problem of optimal allocation of a limited resource in a telecommunication network. The users are divided into several different groups (or classes), which correspond to different levels of service. The network manager has to satisfy users requirements and maximize the network profit, which gives a convex optimization problem with balance and capacity constraints. We suggest to solve this problem with a two-level iterative method where the conditional gradient method is used at its upper level. Then we can solve the lower level problem with simple decomposition algorithms. The computational experiments show rather satisfactory convergence of the suggested method.

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26th Annual computational Neuroscience Meeting (CNS*2017) of the Organization for computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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26th Annual computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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