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检索条件"任意字段=7th International Conference on Functional Programming"

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A multi-objective genetic algorithm for community discovery

A multi-objective genetic algorithm for community discovery

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Ertan Bütün Mehmet Kaya Department of Computer Engineering Firat University Elazi□ÄŸ Turkey

Community discovery in complex network has become an interesting topic in recent years. Multi-objective optimizations can entirely handle community discovery problem instead of single objective optimizations. thus a multi-objective genetic algorithm approach is proposed for community discovery in complex networks in this paper. We improved MOGA-Net [1] proposed by Pizzuti by applying effective searching on search space at genetic algorithm steps. We tested our approach and achieved better results on synthetic networks and real life networks.

关键词： Communities Genetic algorithms Optimization Linear programming Sociology Statistics Genetics

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Botnet detection technique for corporate area network

Botnet detection technique for corporate area network

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Oleg Savenko Sergii Lysenko Andrii Kryshchuk Yuriy Klots Department of System Programming Khmelnitsky National University Khmelnitsky Ukraine

A new approach for the botnet detection based on multi-agent system is proposed. For increasing of the efficiency of botnet detection the multi-agent system was involved that allowed to make botnet detection via agents' communication within corporate network. A new technique with the usage of fuzzy and neural-fuzzy systems that makes the conclusion about botnet presence degree in computer systems is developed. the analysis of the botnets' actions demonstrations in the situation of the intentionally computer system reconnection is performed. It takes into account the botnet demonstrations in the several computer systems which are available in the network.

关键词： Computers Multi-agent systems Fuzzy logic Computational modeling Monitoring Software Malware

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Scaling of parallel multiple sequence alignment on the supercomputer JUQUEEN

Scaling of parallel multiple sequence alignment on the super...

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Plamenka Borovska Veska Gancheva Soon-Heum Ko Computer Systems Department Technical University of Sofia Bulgaria Programming and Computer Technologies Department Technical University of Sofia Bulgaria National Supercomputing Center Linkoping University Linkoping Sweden

In this paper is proposed optimization, scaling, performance evaluation and profiling of parallel multiple sequence alignment based on ClustalW algorithm on the supercomputer BlueGene/Q, so-called JUQUEEN, for the case study of the influenza virus sequences. For this purpose a parallel I/O interface for simultaneous and independent access to single file collectively has been designed and verified on the basis of parallel program implementation on the supercomputer JUQUEEN.

关键词： Supercomputers Influenza Program processors Performance evaluation Optimization Algorithm design and analysis

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GNU Prolog-PHP multi-tier integration

GNU Prolog-PHP multi-tier integration

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Rafał Szklarczyk University of Bielsko-Biala Bielsko-Biala Poland

the paper provides a concept of GNU-Prolog integration with PHP using ANSI C socket server as a middleware. Web application programming becomes more and more important issue. the meaning of HTTP based applications grows together with popularity of the internet. there ware a few methods of integration web programming together with CLP proposed so far. the simplest and most obvious way is to run CLP program in CGI mode, but it has disadvantages as well. For some appliance CLP programs can have long execution time that could cause web server timeouts. For that reason a new approach is proposed: to separate user interface (web based) from CLP program execution. that goal is achieved by means of socket server written in ANSI C. One of popular CLP tools used in general purpose is the GNU-Prolog, besides it is quite well documented and distributed under convenient license too. Together with PHP scripts it could give users powerful and easy to use environment to build web based applications that use CLP technique. the present paper describes the attempt of finding a good way to work PHP together with GNU-Prolog.

关键词： Sockets Logic programming Educational institutions Web servers Browsers

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Operating Generator Selection Applied for Reactive Power Dispatched using Evolutionary programming Technique

Operating Generator Selection Applied for Reactive Power Dis...

引用

IEEE international Power Engineering and Optimization conference

作者： Nor Rul Hasma Abdullah Ismail Musirin Muhammad Murtadha Othman Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang Faculty of Electrical Engineering Universiti Teknologi MARA

ISBN: (纸本)9781467350723

Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing installing compensating devices. One of the choices is optimal reactive power dispatched (RPD). Operating all generators for performing reactive power support to a power system may lead to non-economical results which is rather unnecessary. therefore, effort should be taken in order to avoid all generators from full operational in the attempt to raise the voltage level and improve the voltage stability condition in the system. this paper presents a new approach for selecting the operating generator performed optimally using Evolutionary programming (EP) technique in power system. the proposed technique determines the best combination of generator that should be dispatched in the system considering loss minimization or voltage stability improvement. Implementation on the proposed technique was realized on the IEEE 30-bus RTS. Complete implementations on numerous combinations have been conducted and results indicated that the proposed technique revealed the best combination of the operating generators for improving voltage stability in the system.

关键词： Reactive Power Dispatch Operating Generator Selection Evolutionary programming Static Voltage Stability Index

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Distance laboratory for programming Maximum Power Point tracking of a photovoltaic module

Distance laboratory for programming Maximum Power Point trac...

引用

IEEE international conference on E-Learning in Industrial Electronics, ICELIE

作者： P. Bauer R. Ionel Delft University of Technology Delft The Netherlands The Faculty of Electronics and Telecommunications University “Politehnica” from Timişoara Timişoara Romania

Distance laboratories using internet have been becoming increasingly popular tool in the education sector. the paper deals with basic philosophy and structure of a distance laboratory for experimentation in electrical engineering. It investigates the learning methodology of conducting experiments through internet based remote controlled laboratory for electrical characteristics measurement and Maximum Power Point (MPP) tracking of a Photovoltaic (PV) module. LabVIEW software interface has been used to control and acquire data from the experimental setup. the learning objectives that are achieved have been presented. this distance laboratory has been developed as a part of SustEner project.

关键词： Laboratories Servers Current measurement Voltage measurement Electric variables Libraries Resistors

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A Hybrid Differential Evolution and Harmony Search for Nonconvex Economic Dispatch Problems

A Hybrid Differential Evolution and Harmony Search for Nonco...

引用

IEEE 7th international Power Engineering and Optimization conference (PEOCO)

作者： Le Dinh Luong Vo Ngoc Dieu Nguyen thanh Hop Le Anh Dung HCMC Univ Technol Fac Mech Elect Elect Hanoi Vietnam HCMC Univ Technol Dept Power Syst Hanoi Vietnam

ISBN: (纸本)9781467350747;9781467350723

In this paper, we presents a novel approach for solving economic dispatch (ED) problems with nonconvex cost functions using a hybrid differential evolution and harmony search (DEHS). the DEHS method is an improved differential evolution method based on the harmony search scheme. the DEHS method has the flexible adjustment of the parameters to get a better optimal solution. Moreover, an effective constraint handling framework in the method is employed for properly handling equality and inequality constraints of the problem. the proposed DEHS has been tested on three systems with 40, 15 and 140 units and the obtained results from DEHS algorithm have been compared to those from other methods in the literature. the result comparison has indicated that the proposed DEHS method is more effective than many other methods for obtaining the optimal solution for the test systems. therefore, the proposed DEHS is a very favorable method for solving the nonconvex ED problems.

关键词： concave programming evolutionary computation load dispatching power system economics search problems

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Optimized linear precoder in MIMO interference channel using D.C. programming

Optimized linear precoder in MIMO interference channel using...

引用

international conference on Signal Processing and Communication Systems, ICSPCS

作者： H. H. M. Tam Enlong Che H. D. Tuan University of Technology Sydney Sydney NSW AU Faculty of Engineering and Information Technology University of Technology Sydney Broadway AUSTRALIA

In this paper, we are concerned with optimized linear precoding strategies for multiple-input multiple-output interference channels (MIMO-IFC). Under practical transmission power constraints, we aim at maximizing the sum-information-rate. To date, most developments could not directly address this problem. Instead, intermediate problems of simplification have been considered by means of alternating optimization, which fails to jointly optimize all the concerned variables. In this paper, we directly solve this problem by exploring its hidden d.c. (difference of convex functions) structure. the recast problem can be iteratively solved by d.c. iterations (DCIs), which guarantees the convergence to at least a local optimum. Numerical simulation results show that the proposed solutions offer improved performance.

关键词： Signal to noise ratio MIMO Optimization Interference channels Minimization Wireless communication

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Solving the problems of inspection planning under parametric uncertainty of underlying models

Solving the problems of inspection planning under parametric...

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7th IFAC conference on Manufacturing Modelling, Management, and Control, MIM 2013

作者： Nechval, Nicholas A. Nechval, Konstantin N. Purgailis, Maris Rozevskis, Uldis Danovich, Vadim Ribakova, Natalija Strelchonok, Vladimir F. Moldovan, Max Statistics Department EVF Research Institute University of Latvia Riga Latvia Applied Mathematics Department Transport and Telecommunication Institute Riga Latvia Informatics Department Baltic International Academy Riga Latvia Australian Institute of Health Innovation University of New South Wales Sydney Australia

ISBN: (纸本)9783902823359

Certain fatigued structures must be inspected in order to detect fatigue damages that would otherwise not be apparent. A technique for obtaining optimal inspection strategies is proposed for situations where it is difficult to quantify the costs associated with inspections and undetected failure. For fatigued structures for which failures (fatigue damages) are only detected at the time of inspection, it is important to be able to determine the optimal times of inspection. Fewer inspections will lead to lower fatigue reliability of the structure upon demand, and frequent inspection will lead to higher cost. When there is a fatigue reliability requirement, the problem is usually to develop an inspection strategy that meets the reliability requirements. It is assumed that only the functional form of the underlying invariant distribution of time-to-failure is specified, but some or all of its parameters are unspecified. the invariant embedding technique proposed in this paper allows one to construct an optimal inspection strategy under parametric uncertainty. this strategy represents a sequence of inspection times satisfying the specific criterion, which takes into account the predetermined value of the conditional fatigue reliability of the structure. the numerical examples are given. © IFAC.

关键词： Damage detection

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Region Growing: When Simplicity Meets theory - Region Growing Revisited in Feature Space and Variational Framework

Region Growing: When Simplicity Meets Theory - Region Growin...

引用

7th international Joint conference on Computer Vision, Imaging and Computer Graphics theory and Applications, VISIGRAPP 2012

作者： Revol-Muller, Chantal Grenier, thomas Rose, Jean-Loïc Pacureanu, Alexandra Peyrin, Françoise Odet, Christophe CREATIS CNRS UMR 5220 Inserm U1044 Univ. de Lyon 1 INSA-Lyon 7 Av. Jean Capelle 69621 Lyon France ESRF BP 220 38043 Grenoble Cedex France

ISBN: (纸本)9783642382406

Region growing is one of the most intuitive techniques for image segmentation. Starting from one or more seeds, it seeks to extract meaningful objects by iteratively aggregating surrounding pixels. Starting from this simple description, we propose to show how region growing technique can be elevated to the same rank as more recent and sophisticated methods. Two formalisms are presented to describe the process. the first one derived from non-parametric estimation relies upon feature space and kernel functions. the second one is issued from a variational framework, describing the region evolution as a process which minimizes an energy functional. It thus proves the convergence of the process and takes advantage of the huge amount of work already done on energy functionals. In the last part, we illustrate the interest of both formalisms in the context of life imaging. three segmentation applications are considered using various modalities such as whole body PET imaging, small animal μCT imaging and experimental Synchrotron Radiation μCT imaging. We will thus demonstrate that region growing has reached this last decade a maturation that offers many perspectives of applications to the method. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Image segmentation

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