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PARALLEL AND DISTRIBUTED TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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Event identification in social networks

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Encyclopedia with Semantic Computing and Robotic Intelligence 2017年第1期1卷

作者： Fattane Zarrinkalam Ebrahim Bagheri Laboratory for Systems Software and Semantics (LS3) Ryerson University Toronto Canada Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand the current emerging topics/events. The ability to model emerging topics is a substantial step to monitor and summarize the information originating from social sources. Applying traditional methods for event detection which are often proposed for processing large, formal and structured documents, are less effective, due to the short length, noisiness and informality of the social posts. Recent event detection techniques address these challenges by exploiting the opportunities behind abundant information available in social networks. This article provides an overview of the state of the art in event detection from social networks.

关键词： Event detection social network analysis topic detection and tracking

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Correction: Uncertainty Modelling in Performability Prediction for Safety-Critical systems

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Arabian Journal for Science and engineering 2024年第2期50卷 1353-1353页

作者： Ahamad, Shakeel Gupta, Ratneshwer Department of Data Science Noida Institute of Engineering and Technology Greater Noida India Software Quality Assurance Lab School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi India

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A new pulsar instrumentation at the Allen Telescope Array and the Nancay Radio Telescope

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AIP Conference Proceedings 2011年第1期1357卷 349-350页

作者： G. Desvignes W. C. Barott I. Cognard P. Lespagnol G. Theureau The ATA team aDepartment of Astronomy and Radio Astronomy Laboratory UC Berkeley CA 94720 USA bStation de radioastronomie de Nançay Observatoire de Paris CNRS/INSU 18330 Nançay cElectrical Computer Software and Systems Engineering Department Embry‐Riddle Aeronautical University Daytona Beach FL 32114 USA dLPC2E CNRS 3A Avenue de la Recherche Scientifique F45071 Orléans Cedex 2

In the prospect of the gravitational wave background detection with high precision pulsar timing, we recently installed a new coherent dedispersion backend at the Allen Telescope Array (ATA) and the Nançay Radio ...

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The consensus glossary of temporal database concepts - february 1998 version

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1998年 1399卷 367-405页

作者： Jensen, Christian S. Dyreson, Curtis E. Bohlen, Michael Clifford, James Elmasri, Ramez Gadia, Shashi K Grandi, Fabio Hayes, Pat Jajodia, Sushil Käfer, Wolfgang Kline, Nick Lorentzos, Nikos Mitsopoulos, Yannis Montanari, Angelo Nonen, Daniel Peressi, Elisa Pernici, Barbara Roddick, John F Sarda, Nandlal L Scalas, Maria Rita Segev, Arie Snodgrass, Richard T Soo, Mike D. Tansel, Abdullah Tiberio, Paolo Wiederhold, Gio Aalborg University Department of Computer Science Fredrik Bajers Vej 7E Aalborg ØDK-9220 Denmark Computer Science Dept Aalborg University Denmark Computer Science Dept James Cook University Australia Computer Science Engineer¬ing Dept University of Texas at Arlington United States Computer Science Dept Iowa State University United States CIOC-CNR DEIS University of Bologna Italy Beckman Institute United States In¬formation and Software Systems Engineering Dept George Mason University United States Mercedes Benz Agricultural University of Athens Greece Informatics Laboratory Agricultural University of Athens Greece Infor¬matics Laboratory Agricultural University of Athens Greece Dip. di Matematica e Informatica Universita di Udine Italy Computer Science Dept Concordia University Canada Dip. di Matematica e Informatica Universita di Udine Italy Electronic Engineering and Information Sciences Dept Politecnico di Milano Italy School of Computer and Information Science University of South Australia Australia Computer Science and Engineering Dept Indian Institute of Technology Bombay India University of Bologna Italy School of Business Adm. and Computer Science Research Dept University of California United States Computer Science Dept Uni¬versity of Arizona United States Computer Science and Engineering Dept University of South Florida United States Bernard M. Baruch College City University of New York United States CIOC-CNR DEIS University of Bologna Italy Computer Science Dept Stanford University United States

This document1 contains definitions of a wide range of concepts specific to and widely used within temporal databases. In addition to providing definitions, the document also includes explanations of concepts as well as discussions of the adopted names. The consensus effort that lead to this glossary was initiated in Early 1992. Earlier versions appeared in SIGMOD Record in September 1992 and March 1994. The present glossary subsumes all the previous documents. The glossary meets the need for creating a higher degree of consensus on the definition and naming of temporal database concepts. Two sets of criteria are included. First, all included concepts were required to satisfy four relevance criteria, and, second, the naming of the concepts was resolved using a set of evaluation criteria. The concepts are grouped into three categories: concepts of general database interest, of temporal database interest, and of specialized interest. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Database systems

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BioSynther:a customized biosynthetic potential explorer

BioSynther:a customized biosynthetic potential explorer

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第八届国际分子模拟与信息技术应用学术会议

作者： Weizhong Tu Haoran zhang Juan Liu Key Laboratory of Combinatorial Biosynthesis and Drug Discovery(Wuhan University) Ministry of Educationand Wuhan University School of Pharmaceutical SciencesWuhan 430071People's Republic of China Kay Laboratary of Systems Microbial Biotechnology Tianjin Institute of Industrial BiotechnologyChinese Academy of SciencesTianjinPeople's Republic of China State Key Laboratory of Software Engineering(Wuhan University)and Wuhan Uniwrsity School of Computer Sciences Wuhan 430072People's Republic of China

Motivation: One of the most promising applications of biosynthetic methods is to produce chemical products of high value from the ready-made *** explore the biosynthetic potentials of a chemical as a synthesis precursor,biosynthetic databases and related chemoinformatics tools are urgently *** the present work,a web-based tool,BioSynther,is developed to explore the biosynthetic potentials of precursor chemicals using BKM-react,Rhea,and more than 50000 inhouse RxnFinder reactions manually *** allows researchers to explore biosynthetic potentials,through so far known biochemical reactions,step by step interactively,which could be used as a useful tool in metabolic engineering and synthetic biology.

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Development and integration of an equation-solving program for engineering thermodynamics courses

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computer Applications in engineering Education 1993年第3期1卷 265-265页

作者： Klein, S.A. Mechanical Engineering Department University of Wisconsin-Madison 53706 Dr. S. A. Klein:is a professor of Mechanical Engineering at University of Wisconsin-Madison. His engineering degrees (BS University of Illinois-Chicago MS PhD University of Wisconsin-Madison) were obtained in Chemical Engineering. Professor Klein is a member of the Solar Energy Laboratory at Wisconsin. He is the developer of the F-Chart method for sizing solar heating systems and the TRNSYS simulation program which is widely used in simulations of solar processes. Currently Professor Klein is involved in research on solar energy system performance absorption power cycles finite-time thermodynamics applications adsorption processes for air conditioning and air quality control and alternative refrigerants and systems for refrigeration and air conditioning applications. Professor Klein is also involved in the development of engineering computer tools for both instruction and research. In addition to the EES program described in this paper he is the primary author of the thermodynamics instructional program CP/Thermo and the finite element program FEHT.

Thermodynamics problems can be separated into conceptual and mathematical parts. The conceptual part consists of the problem formulation and analysis. The mathematical part seeks to obtain an answer to a problem by solving the equations identified in the analysis. The mathematical part can be complex and time-consuming and often directs the students' focus away from the concepts. An equation solving program called engineering Equation Solver (EES) was developed to reduce the time and effort required by students to solve the mathematical part of thermodynamics problems. EES differs from existing equation solving programs in that it is designed for use by students and it includes an extensive library of built-in functions for thermodynamic and transport properties of fluids. Thermodynamic and transport property data needed for solving engineering problems (eg, steam tables, refrigerant properties, psychrometric and combustion gas data) are built into the program. By eliminating table lookups and algebra, EES allows students to concentrate on engineering fundamentals, as well as to do more complex design problems.

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Merging synthetic and real embryo data for advanced AI predictions

arXiv

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arXiv 2024年

作者： Presacan, Oriana Dorobanţiu, Alexandru Thambawita, Vajira Riegler, Michael A. Stensen, Mette H. Iliceto, Mario Aldea, Alexandru C. Sharma, Akriti Faculty of Electronics Telecommunications and Information Technology National University of Science and Technology Politehnica Bucharest Bucharest061071 Romania Department of Computer Science and Electrical Engineering Lucian Blaga University of Sibiu Sibiu550024 Romania Department of Holistic Systems SimulaMet Stensberggata 27 Oslo0170 Norway Department of Computer Science Oslo Metropolitan University Oslo0167 Norway Volvat Spiren Oslo0176 Norway Faculty of Biotechnologies University of Agronomic Sciences and Veterinary Medicine Bucharest011464 Romania Department of Validation Intelligence for Autonomous Software Systems Simula Research Laboratory Oslo0164 Norway Cyber Security Simula Research Laboratory Oslo0164 Norway

Accurate embryo morphology assessment is essential in assisted reproductive technology for selecting the most viable embryo. Artificial intelligence has the potential to enhance this process. However, the limited availability of embryo data presents challenges for training deep learning models. To address this, we trained two generative models using two datasets—one we created and made publicly available, and one existing public dataset—to generate synthetic embryo images at various cell stages, including 2-cell, 4-cell, 8-cell, morula, and blastocyst. These were combined with real images to train classification models for embryo cell stage prediction. Our results demonstrate that incorporating synthetic images alongside real data improved classification performance, with the model achieving 97% accuracy compared to 94.5% when trained solely on real data. This trend remained consistent when tested on an external Blastocyst dataset from a different clinic. Notably, even when trained exclusively on synthetic data and tested on real data, the model achieved a high accuracy of 92%. Furthermore, combining synthetic data from both generative models yielded better classification results than using data from a single generative model. Four embryologists evaluated the fidelity of the synthetic images through a Turing test, during which they annotated inaccuracies and offered feedback. The analysis showed the diffusion model outperformed the generative adversarial network, deceiving embryologists 66.6% versus 25.3% and achieving lower Fréchet inception distance scores. © 2024, CC BY-SA.

关键词： Generative adversarial networks

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Metabolic pathway interface to molecular biology databases

Metabolic pathway interface to molecular biology databases

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International Working Conference on Scientific and Statistical Database Management

作者： B. Zeeberg K. Watanabe S. Goto R. Overbeek L. Kerschberg G. Michaels Institute for Computational Science and Informatics and Institute for Biosciences Bioinformatics and Biotechnology George Mason University USA Institute for Computational Science and Informatics and Westat George Mason University Institute for Chemical Research Kyoto University Division of Mathematics and Computer Sciences Argonne National Laboratory Information and Software Systems Engineering George Mason University Institute for Computational Science and Informatics and Institute for Biosciences Bioinformatics and Biotechnology George Mason University

We present results of providing database support to biomedicine via federation of SDB Cooperation/Integration based upon the KEGG GUI for molecular biology. The federation provides a common link to three molecular biology databases. The added value of the federation is freedom from consulting multiple references to ascertain the full set of enzymatic reactions in a metabolic pathway, and the option of selecting multiple queries to submit to the federated SDBs. Each of the SDBs is extensive, but incomplete. The union of the SDBs, implemented transparently by the federation, is more complete. Each SDB provides a different approach to the options available for data presentation and a different set of Web server tools for data analysis. Thus, an important part of the added value of the federation is the cross-fertilization available in the union of the molecular biological content, the presentation of data, and the tools available for analysis.

关键词： Biology computing Spatial databases Sequences Informatics Bioinformatics Biotechnology Biomedical computing Web server Chemical engineering Laboratories

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Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside"

arXiv

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arXiv 2024年

作者： Santina, Cosimo Della Corbato, Carlos Hernandez Sisman, Burak Leiva, Luis A. Arapakis, Ioannis Vakalellis, Michalis Vanderdonckt, Jean D’Haro, LuisFernando Manzi, Guido Becchio, Cristina Elamrani, Aïda Alirezaei, Mohsen Castellano, Ginevra Dimarogonas, Dimos V. Ghosh, Arabinda Haesaert, Sofie Soudjani, Sadegh Stroeve, Sybert Verschure, Paul Bacciu, Davide Deroy, Ophelia Bahrami, Bahador Gallicchio, Claudio Hauert, Sabine Sanz, Ricardo Lanillos, Pablo Iacca, Giovanni Sigg, Stephan Gasulla, Manel Steels, Luc Sierra, Carles Department of Cognitive Robotics Delft University of Technology Delft Netherlands Oberpfaffenhofen Germany Department of Computer Science University of Luxembourg Luxembourg 4 Telefónica I+D Spain AEGIS IT Research GmbH Germany Université catholique de Louvain Belgium Speech Technology and Machine Learning Group ETSI de Telecomunicación Universidad Politécnica de Madrid Madrid Spain Alien Venture Studio Alien Technology Transfer Rome Italy Hamburg Germany Institut Jean Nicod École Normale Supérieure Paris France Research Technology and Development Department Digital Industry Software Helmond Netherlands Department of Information Technology Uppsala University Uppsala Sweden Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Max Planck Institute for Software Systems Kaiserslautern Germany Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Eindhoven Netherlands Amsterdam Netherlands Donders Centre for Neuroscience Radboud University Nijmegen Netherlands Computer Science Department University of Pisa Pisa Italy Faculty of Philosophy Philosophy of Science The Study of Religion Ludwig Maximilian University of Munich Munich Germany School of Engineering Mathematics and Technology University of Bristol Bristol United Kingdom Autonomous Systems Laboratory Universidad Politécnica de Madrid Spain Madrid Spain Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Information and Communications Engineering Aalto University Espoo Finland Department of Electronic Engineering Universitat Politècnica de Catalunya Barcelona Spain Studio Stelluti Brussels Belgium Barcelona Spain

Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars in the past. However, things are changing as more and more researchers are getting interested in answering questions concerning what awareness is and how it can be artificially generated. The landscape is rapidly evolving, with multiple voices and interpretations of the concept being conceived and techniques being developed. The goal of this paper is to summarize and discuss the ones among these voices that are connected with projects funded by the EIC Pathfinder Challenge called "Awareness Inside", a nonrecurring call for proposals within Horizon Europe that was designed specifically for fostering research on natural and synthetic awareness. In this perspective, we dedicate special attention to challenges and promises of applying synthetic awareness in robotics, as the development of mature techniques in this new field is expected to have a special impact on generating more capable and trustworthy embodied systems. © 2024, CC BY.

关键词： Robotics

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