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Research ArticleOpen accessIn the abstractModeling of a Dynamic Interaction of Motor Transport and Natural Systems in Order to Minimize the Risks of Project and Management DecisionsL. G. Gagarina, D. N. Kavtaradze, A. A. Mordovin et al.Fundamental tasks for the problem of scientific support for the design of transport infrastructure in the ecosystem splits are analyzed. New aspects of simulational application in dynamic interaction of motor transport and natural systems are considered. Method for simulational studies is analyzed. The problems and advantages of the simulation of complex systems are investigated. Mathematical model of the transport infrastructure … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Oct 2014 · 7,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONGESTION MANAGEMENT BY OPTIMAL ALLOCATION OF FACTS CONTROLLERS USING HYBRID FISH BEE OPTIMIZATIONS. Thangalakshmi, P. ValsalalThe role of Independent System Operator (ISO) in the restructured power industry includes system control, capacity planning, transmission tariff and congestion management; the challenging task being minimizing the congestion. One of the popular techniques used to alleviate congestion is using Flexible AC Transmission Systems (FACTS) devices. The power system generally operates near its rated capacity in deregulated market because of … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractSELECTING PERFECT INTERESTINGNESS MEASURES BY COEFFICIENT OF VARIATION BASED RANKING ALGORITHMK. Selvarangam, K. Ramesh KumarRanking interestingness measure is an active and essential research domain in the process of knowledge discovery from the extracted rules. Since various measures proposed by many researchers in various situations increases the list of measures and these are not able to use as a common measures to evaluate the rules, knowledge finders are not able to identify a perfect measure … …Journal of Computer Science, Vol. 10, Issue 9 · 17 Apr 2014 · 6,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractSIMULATED ANNEALING APPROACH TO COST-BASED MULTI- QUALITY OF SERVICE JOB SCHEDULING IN CLOUD COMPUTING ENVIROMENTMonir Abdullah, Mohamed OthmanCloud computing environments facilitate applications by providing visualized resources that can be provisioned dynamically. The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 18 Mar 2014 · 7,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT CELL PLACEMENT USING GRAVITATIONAL SEARCH ALGORITHMSRose Al Qasem, Taisir EldosIn modern chip design, cell placement is a stage in which cells representing well-defined functions are assigned physical locations, in a way that optimizes the total area and routing length. Cell placement is an NP-complete problem and the exact solution is generally far from reach for a practically sized instance. Hence, diversified heuristic algorithms are used to solve this problem. … …Journal of Computer Science, Vol. 9, Issue 8 · 25 Jun 2013 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Scheduling for Cloud Reliability using Transportation ProblemS. K. Senthil Kumar, P. BalasubramanieProblem statement: Cloud is purely a dynamic environment and the existing task scheduling algorithms are mostly static and considered various parameters like time, cost, make span, speed, scalability, throughput, resource utilization, scheduling success rate and so on. Available scheduling algorithms are mostly heuristic in nature and more complex, time consuming and does not consider reliability and availability of the cloud … …Journal of Computer Science, Vol. 8, Issue 10 · 23 Aug 2012 · 8,332 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnt Colony Optimization for Container Loading ProblemC. N. Yap, L. S. Lee, Z. A. Majid, H. V. SeowProblem statement: The Container Loading Problem (CLP) considers packing a subset of given rectangular boxes into a rectangular container of fixed dimensions in the most optimum way. This was very important in the logistics industries and warehousing problems, since the cost can be reduced by increasing the space utilization ratio. Approach: This problem was solved in a two-phased Ant Colony … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 20 Mar 2012 · 8,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnt Colony Optimization for Capacitated Vehicle Routing ProblemW. F. Tan, L. S. Lee, Z. A. Majid, H. V. SeowProblem statement: The Capacitated Vehicle Routing Problem (CVRP) is a well-known combinatorial optimization problem which is concerned with the distribution of goods between the depot and customers. It is of economic importance to businesses as approximately 10-20% of the final cost of the goods is contributed by the transportation process. Approach: This problem was tackled using an Ant Colony Optimization … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 10,043 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Cryptosystem Using Multiple Cryptographic AssumptionsE. S. Ismail, M. S. HijaziProblem statement: A cryptosystem is a way for a sender and a receiver to communicate digitally by which the sender can send receiver any confidential or private message by first encrypting it using the receiver’s public key. Upon receiving the encrypted message, the receiver can confirm the originality of the message’s contents using his own secret key. Up to now, … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,061 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite