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60 articles for “Random Selection”
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Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Information Technology of Slot-Switching Network Schemes for on All-Optical Variable-Length PacketSoung Yue Liew, Edward Sek Khin Wong, Choong Kwai FattProblem Statement: The purpose of this paper was to investigate all optical packet switching, because it was the key to the success of the future Internet. It can meet the stringent bandwidth requirement of future Internet applications, such as real-time video streaming. Due to the lack of optical Random Access Memory (RAM), however, the all-optical schemes studied in the literature … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,186 accessesView PDFCite
Research ArticleOpen accessIn the abstractSample Selection Analysis of Wage Equation for Women In Ondo State NigeriaSola Olorunfemi, Olorunsola E. OlowofesoThe study analysis wage equation for women in Ondo State Nigeria, in other to identify the determinant factors of their wages. Data collected from 250 women heads of households through a multi-stage random system technique were analyzed. In order to deal with the zero wage problem associated with those who did not work, various single – equation models were applied. … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 7,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandomness Analysis of DES Ciphers Produced with Various Dynamic ArrangementsMalik Qasaimeh, Raad S. Al-QassasOver the past few years, researchers have devoted efforts to enhance the original DES encryption algorithm. These enhancements focus on improving multiple perspectives of the algorithm through enhancing its internal components to deliver a robust DES variant against different kinds of typical attacks such as linear and differential crypto analysis, in addition to the newly evolved attacks such as differential … …Journal of Computer Science, Vol. 13, Issue 12 · 15 Dec 2017 · 7,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MIXTURE DROPOUT MECHANISM IN A LONGITUDINAL STUDY WITH TWO TIME POINTS: A METHADONE STUDYZohreh Toghrayee, Parvin Jalili, Heng Chin Low, Ardavan TaghvaOne of the most important issues that confront statisticians in longitudinal studies is dropouts. A variety of reasons may lead to withdrawal from a study and produce two different missingness mechanisms, namely, missing at random and non-ignorable dropouts. Nevertheless, none of these mechanisms is tenable in most studies. In addition, it may be that not all of dropouts are nonignorable. … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Apr 2014 · 6,724 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Scheduling Al-gorithms in Cloud Computing EnvironmentIsam Azawi MohialdeenAn essential requirement in cloud computing environment is scheduling the current jobs to be executed with the given constraints. The scheduler should order the jobs in a way where balance between improving the quality of services and at the same time maintaining the efficiency and fairness among the jobs. Thus, evaluating the performance of scheduling algorithms is crucial towards realizing … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,206 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Insurance Investment: A Factor Analytic ApproachSamuel Obi-Nnamdi Agwuegbo, Adetunji Philip Adewole, A. N. MaduegbunaProblem statement: In the last decade growing attention has been paid to the pattern of investments by the insurance industry and the question of how to evaluate such investments. In an economy where the capital market is huge and active, mathematical considerations come into play in the selection of investments to ensure yield maximisation. Approach: This study examined the use … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,498 accessesView PDFCite
Research ArticleOpen accessIn the abstractProviding Reliability in Replicated Middleware ApplicationsR. Saravanan, N. RamarajProblem statement: Data inconsistency is raised in actively replicated environment due to non-determinism in the applications that defeats the purpose of replication as a fault-tolerance strategy. Approach: We proposed an efficient framework RTC which ensured determinism among the replicas in fault tolerance middleware applications. This method exploits the technique of statically analyzing the application source code of client and identifies … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 8,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Quality of Work Life (QWL) and Career- Related VariablesArafat Al-Dhaqm, LooSee Beh, Jegak Uli, Khairuddin IdrisThe aim of this study was to determine the level and relationship between qualities of work life (QWL) with career-related variables. The sample consists of 475 executives from the electrical and electronics industry in the free trade zones in Malaysia for both the multinational corporations (MNCs) and the small-medium industries (SMIs). The selection of respondents using stratified random sampling technique … …American Journal of Applied Sciences, Vol. 3, Issue 12 · 31 Dec 2006 · 9,270 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDFCite