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Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms

作者： Ernst Althaus Denys Duchier Alexander Koller Kurt Mehlhorn Joachim Niehren Sven Thiel Max-Planck-Institute for Computer Science Saarbrücken Germany programming Systems Lab Fachbereich Informatik Universität des Saarlandes Saarbrücken Germany Department of Computational Linguistics Universität des Saarlandes Saarbrücken Germany

ISBN: (纸本)9780898714906

Dominance constraints are logical tree descriptions originating from automata theory that have multiple applications in computational linguistics. The satisfiability problem of dominance constraints is NP-complete. In most applications, however, only normal dominance constraints are used. The satisfiability problem of normal dominance constraints can be reduced in linear time to the configuration problem of dominance graphs, as shown recently. In this paper, we give a polynomial time algorithm testing configurability of dominance graphs (and thus satisfiability of normal dominance constraints). Previous to our work no polynomial time algorithms were known.

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probabilistic and deterministic local search for solving the binary multiknapsack problem*

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Optimization 1995年第2期33卷 155-166页

作者： Bertocchi, M. Butti, A. Slominski, L. Sobczynska, J. Department of Mathematics Statistics and Computer Science University of Bergamo Bergamo Piazza Rosate 2 Italy Mathematical Programming Department Systems Research Institute Polish Academy of Sciences Warsaw Newelska str 6 Poland

Results of extensive computational experiments aimed at comparing performance quality (accuracy of an approximate solution and the running time) of the Threshold Accept (TA) approach versus the Simulated Annealing (SA) and a Greedy-Local improvement Search (GLS) approaches are presented. This comparison is done on a large set of test examples that represent the binary Multiknapsack Problem (MKP). It appears that the best accuracy results are obtained for the TA algorithm. Purely deterministic search is only slightly worse in accuracy, but remarkably better in the running time, comparing to both SA and TA. © 1995 Taylor & Francis Group, LLC

关键词： Deterministic greedy-local type search Multiknapsack problem Simulated annealing and threshold accept algorithms

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Al-Biruni Earth Radius Optimization for COVID-19 Forecasting

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Computer systems Science & Engineering 2023年第7期46卷 883-896页

作者： El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Tatiana Makarovskikh Amal H.Alharbi Doaa Sami Khafaga Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura University35516MansouraEgypt Department of System Programming South Ural State University454080ChelyabinskRussia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi *** prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus ***:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)***:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),*** addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed *** achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base *** the other hand,a statistical analysis is performed to measure the significance of the proposed ***:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19.

关键词： COVID-19 prediction meta-heuristic optimization LSTM Al-Biruni earth radius algorithm

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Implementation lessons of performance prediction tool for parallel conservative simulation 6

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6th International European Conference on Parallel Computing, Euro-Par 2000

作者： Lim, Chu-Cheow Low, Yoke-Hean Gan, Boon-Ping Cai, Wentong Intel Corporation SC12-305 2000 Mission College Blvd Santa ClaraCA95052-8119 United States Programming Research Group Oxford University Computing Laboratory University of Oxford OxfordOX1 3QD United Kingdom Gintic Institute of Manufacturing Technology 71 Nanyang Drive Singapore638075 Singapore Center for Advanced Information Systems School of Applied Science Nanyang Technological University Singapore639798 Singapore

ISBN: (纸本)9783540679561

Performance prediction is useful in helping parallel programmers answer questions such as speedup scalability. Performance prediction for parallel simulation requires first working out the performance analyzer algorithms for specific simulation protocols. In order for the prediction results to be close to the results from actual parallel executions, there are further considerations when implementing the analyzer. These include (a) equivalence of code between the sequential program and parallel program, and (b) system effects (e.g. cache miss rates and synchronization overheads in an actual parallel execution). This paper describes our investigations into these issues on a performance analyzer for a conservative, "super-step" (synchronous) simulation protocol. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Forecasting

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Word-Based Turkish Lip Reading System with Two Stream 3dcnn and Bilstm

SSRN

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SSRN 2023年

作者： Erbey, Ali Barışçı, Necaattin Department of Computer Programming Distance Education Vocational School Usak University Usak64200 Turkey Department of Information Systems Informatics Institute Gazi University Ankara Turkey Department of Computer Engineering Faculty of Technology Gazi University Ankara06500 Turkey

Lip reading is a technique that aims to understand spoken words by analyzing people's lip movements. Deep learning algorithms are used as a powerful tool for detecting and recognizing lip movements more accurately. In this study, we present a lip-reading architecture for the Turkish language. The architecture is trained to recognize Turkish words using 3DCNN (3D Convolutional Neural Network) architecture and two-stream deep learning methods. The model was trained on video data representing lip movements and learned to classify words accurately. The Turkish lip reading system has been trained and tested on a large Turkish lip reading dataset. In the experiments, an accuracy of 87.12% was achieved with the proposed model, indicating successful results in the Turkish language. The proposed model demonstrates high accuracy rates in recognizing Turkish words, showcasing its effectiveness. This paper introduces a novel architecture, a lip-reading system that employs deep learning techniques, providing a robust tool for successful Turkish lipreading applications. © 2023, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Numerical Solution of Fuzzy Volterra Integral Equations with Piecewise Continuous Kernels: Successive Approximation

Numerical Solution of Fuzzy Volterra Integral Equations with...

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第43届中国控制会议

作者： Samad Noeiaghdam Denis Sidorov Fang Liu Industrial Mathematics Laboratory Baikal School of BRICS Irkutsk National Research Technical University Department of Applied Mathematics and Programming South Ural State University Department of Applied Mathematics Melentiev Energy Systems Institute Siberian Branch of Russian Academy of Sciences

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This study aims to discuss the existence and uniqueness of solution of fuzzy Volterra integral equations with piecewise continuous kernels. These types of problems are often encountered in balancing issues for systems with hereditary dynamics,such as electric load leveling. The method of successive approximations is applied and the main theorems are proved based on the method. Some examples are discussed and the results are presented for different values of μ by plotting several graphs. In order to show the accuracy of the method, the results have compared with the homotopy analysis method.

关键词： Fuzzy Volterra integral equation Piecewise kernel Successive approximation Error estimation

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The Method of Dynamic Routing in Self-Healing Networks

The Method of Dynamic Routing in Self-Healing Networks

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Shyman Anna Nina Kuchuk Andriy Kovalenko Svitlana Kashkevich Stanislav Partyka Oleksandr Yankovskyi Department of Computer Engineering and Programming National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine Department of Electronic Computers Kharkiv National University of Radio Electronics Kharkiv Ukraine Department of Computerized Management Systems National Aviation University Kharkiv Ukraine

ISBN: (数字)9798350384499

ISBN: (纸本)9798350384505

The report proposes a dynamic routing method for Self-healing Networks (ShN). The method takes into account the specific features of ShN. During routing, the flow of service information is reduced. The search for the optimal route is carried out using a convolutional neural network. The method significantly outperforms existing methods when some network nodes fail.

关键词： Receivers Performance gain Routing Routing protocols Maintenance Convolutional neural networks Standards

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Editorial: Special issue dedicated to ICFP 2010

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Journal of Functional programming 2012年第4-5期22卷 379-381页

作者： UMUT A. ACAR JAMES CHENEY STEPHANIE WEIRICH Programming Languages and Systems Group Max Planck Institute for Software Systems Germany (e-mail: umut@***) Laboratory for Foundations of Computer Science University of Edinburgh Edinburgh UK (e-mail: jcheney@inf.ed.ac.uk) School of Engineering and Applied Science University of Pennsylvania Philadelphia PA 19104 USA (e-mail: sweirich@cis.upenn.edu)

The 15th ACM SIGPLAN International Conference on Functional programming (ICFP) took place on September 27–29, 2010 in Baltimore, Maryland. After the conference, the programme committee, chaired by Stephanie Weirich, selected several outstanding papers and invited their authors to submit to this special issue of Journal of Functional programming. Umut A. Acar and James Cheney acted as editors for these submissions. This issue includes the seven accepted papers, each of which provides substantial new material beyond the original conference version. The selected papers reflect a consensus by the program committee that ICFP 2010 had a number of strong papers that link core functional programming ideas with other areas, such as multicore, embedded systems, and data compression.

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Modeling of DC Traction Motor In Ansys RMXPRT

Modeling of DC Traction Motor In Ansys RMXPRT

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Vitalii Herasymenko Vladyslav Pliuhin Valentyn Noskov Oleksandr Zakovorotnyi Mykola Mezentsev Tetyana Orlova Department of Electric Transport O. M. Beketov National University of Urban Economy in Kharkiv Kharkiv Ukraine Department of the Systems of Electricity Supply and Electricity Consumption of Cities O. M. BeketovNational University of Urban Economy in Kharkiv Kharkiv Ukraine Department of Computer Engineering and Programming National Technical University «Kharkiv Polytechnic Institute» Kharkiv Ukraine Computer Engineering and Programming Department National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine

DC traction motors are widely used in all branches of urban economy. They began to be used in industry about a hundred years ago with the advent of the first calculation methods. When designing a DC motor, it is important to consider it comprehensively, together with the electric drive system. The article discusses the application of a more correct approach to modeling a series-excited DC motor using the ANSYS software package, in particular, the ANSYS RMxprt / Maxwell/ Simplorer bundle. The main stages of initial data input are considered and the main calculation results are shown. Using ANSYS Maxwell allows you to quickly and automatically build a typical machine geometry using RMxprt. When solving non-standard structures, it is possible to use 3D design with step-by-step elements. The analysis of the obtained graphic dependences of electric power parameters makes it possible to judge the efficiency of the electric motor and its operational properties in idling and under load. The simulation results show excellent agreement with the data obtained experimentally.

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Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment

Multi-Agent Approach for Dynamic Elasticity of Virtual Machi...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Alexander Feoktistov Ivan Sidorov Andrei Tchernykh Alexei Edelev Valery Zorkalzev Roman Kostromin Sergey Gorsky Igor Bychkov Arutyun Avetisyan Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Matrosov Inst. for Syst. Dynamics & Control Theor. Irkutsk Russia Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia

ISBN: (纸本)9781538678800

We address dynamic elasticity issues of VM provisioning in a heterogeneous distributed computing environment that integrates resources of a data center. We consider the scenario when the center includes dedicated resources (private cloud) for providing virtualized service and non-dedicated resources for Grid-computing. Existing platforms for the resource virtualization does not support management of such an infrastructure. We propose an approach to a job management based on the dynamic elasticity of virtual machines provisioning using resources of both types. We develop the multi¬agent job scheduler for dedicated resources and hypervisor shell to launch virtual machines through queues of resource management systems in non-dedicated resources. The scheduler provides a dynamic elasticity of virtual machine provisioning. Advantages of the offered approach to the resource virtualization are demonstrated by an example of a job flow management for a scalable application to solve the complicated practical problem. It is related to the energy security of Vietnam. Provided experiments show that using the developed tools together with the platform for the resource virtualization enables agents to significantly speed up the problem-solving process.

关键词： Cloud computing Resource management Dynamic scheduling Virtual machine monitors Elasticity Virtual machining

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