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115 results for “Partition”
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Research ArticleOpen accessIn the abstractFault Node Detection and Connectivity Restoration with Mobile Relay Node in Wireless Sensor NetworksM.P. Anuradha, A.M. Swetha, Manivannan DoraipandianIn Wireless Sensor Network (WSN), node failure is an imperative concern in a hostile environment. These node failures create disjoints in the network and leads to a network partitioning problem. It is important for the nodes to be alive and communicate with each other to check the network connectivity. Replacement of Mobile Relay Nodes (MRN) in the location of faulty … …Journal of Computer Science, Vol. 16, Issue 4 · 1 Apr 2020 · 7,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicrowave Assisted Regioselective Synthesis and Biological Evaluation of Pyrano[2,3-c]Pyridine Derivatives Utilizing DMAP as a CatalystAsmaa M. FahimRegioselective facile production of pyrano[2,3-c]pyridine through multicomponent reaction of aromatic aldehydes, ethyl cyano acetate or malononitrile and C-H activated compound of 3-hydroxy picolinic acid in the occurrence of smaller amount of DMAP catalyst utilizing microwave apparatus, which is green and simple environmentally with high yield, recyclability catalyst. Totally the products were partitioned for antimicrobiogical action; it was detected that were … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 14 Dec 2017 · 8,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractSegmentation of Exudates via Color-based K-means Clustering and Statistical-based ThresholdingAtef Zaki Ghalwash, Aliaa Abdel-Halim Youssif, Ali Mohamed Nabil AllamThis paper provides a novel approach for the problem of detecting the yellowish lesions in the eye fundus images, such as hard and soft exudates, in a fully-automated manner. To solve this problem of segmenting exudates automatically, the fundus image was first converted into the L*a*b* color space to decouple the chromaticity information of the image. Next, the fundus image … …Journal of Computer Science, Vol. 13, Issue 10 · 14 Oct 2017 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Analysis of High Dimensional Contingency Table with InteractionsKeorapetse Sediakgotla, Lesego Gabaitiri, Keamogetse Setlhare et al.This paper is focused on the analysis of categorical data in a 2 × c × K contingency table. The theoretical frame work of a 2 × c design is extended to 2 × c × K with provision for testing interactions among subsets of either lower or upper columns of the designated table. The developed chi square tests for … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 30 Aug 2017 · 7,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Apache Spark based Algorithm to Solve Dirichlet Problem for Poisson Equation in 3D Computational DomainShomanov Aday, Mansurova MadinaParallel computations are essential tool in solving large-scale computationally demanding problems. Due to large diversity and heterogeneity of the currently available parallel processing techniques and paradigms it is usually difficult to find the right solution that will perform well according to every performance metric. As one of the recent developments in parallel computing Apache Spark framework allows to process petabyte-scale … …Journal of Computer Science, Vol. 12, Issue 10 · 15 Dec 2016 · 7,055 accessesView PDFCite
EditorialOpen accessIn the abstractAn Opportunity for the Agricultural Sector: The Renewable Energy SourcesRiccardo Testa, Salvatore TudiscaToday, among the most important issue for energy decisions by policymakers, there are security challenges and environmental impacts on climate change and economic aspects. Since the seventies, in fact, global warming and environmental issues have had an increasing importance in international debate, attracting the attention of several scientific studies (Landi and Benelli, 2016). Many of these studies denoted that over … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 3 · 6 Sep 2016 · 8,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Classification Method Based on Data DecompositionAyman E. Khedr, Amira M. Idrees, Ahmed I. El SeddawyKnowledge discovery is one of the vital fields which strongly supports decision making by applying different techniques based on the targeted field and the required information. Focusing on clustering and classification techniques, this paper presents an approach for adapting one of the classification algorithms for supporting decision making procedure in radiology data analysis field. The proposed adaptation is based on … …Journal of Computer Science, Vol. 12, Issue 1 · 20 Feb 2016 · 7,426 accessesView PDFCite
Research ArticleOpen accessIn the abstractReducing Redundancy of Codons through Total GraphNisha Gohain, Tazid Ali, Adil AkhtarIn this study some algebraic connections in genetic code is being discussed. The genetic code is the rule by which DNA stores the genetic information about formation of protein molecule. Based on the physico-chemical properties of four RNA (or DNA) bases, two orders in the base sets are obtained. This ordering allows us to define a ring structure on the … …Current Research in Bioinformatics, Vol. 4, Issue 1 · 25 Jun 2015 · 7,346 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications of Parallel Computing for Facility Location-Transportation Problems for Disaster ResponseChansiri Singhtaun, Suriya NatsupakpongThis study extends the capability and increases the performance of a traditional Branch and Bound (BB) algorithm to solve Facility Location-Transportation problems for Disaster Response (FLTDR) using parallel computing. A Two-Stage Branch and Bound (TBB) algorithm was developed to support two parallel computing approaches. This algorithm divides problems into two small sub-problems, which are a facility location sub-problem and a … …Journal of Computer Science, Vol. 11, Issue 4 · 3 Jun 2015 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Correlation Clustering and Agglomerative Hierarchical Clustering for Holistic Schema MatchingBasel Alshaikhdeeb, Kamsuriah AhmadHolistic schema matching is the process of carrying off several number of schemas as an input and outputs the correspondences among them. Treating large number of schemas may consume longer time with poor quality. Therefore, several clustering approaches have been proposed in order to reduce the search space by partitioning the data into smaller portions which can facilitate the matching … …Journal of Computer Science, Vol. 11, Issue 3 · 3 Apr 2015 · 6,392 accessesView PDFCite