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Research ArticleOpen accessEvery word in the titleOptimizing {0, 1, 3}-NAF Recoding Algorithm Using Block-Method Technique in Elliptic Curve CryptosystemMohsen Bafandehkar, Sharifah Md Yasin, Ramlan MahmodThe most expensive and time-consuming operation in Elliptic curve cryptosystem is scalar multiplication operation. Optimization of scalar multiplication will substantially enhance the ECC performance. Scalar multiplication can be improved by using an enhanced scalar recoding algorithm that can decrease the number of operations in the scalar representation process. The objective of this research is to introduce an efficient design and … …Journal of Computer Science, Vol. 12, Issue 11 · 30 Dec 2016 · 6,672 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFractional Lion Algorithm-An Optimization Algorithm for Data ClusteringSatish Chander, P. Vijaya, Praveen DhyaniClustering divides the data available as bulk into meaningful, useful groups (Clusters) without any prior knowledge about the data. Cluster analysis provides an abstraction from individual data objects to the clusters in which those objects reside. It is a key technique in the data mining and has become an important issue in many fields. This paper presents a novel Fractional … …Journal of Computer Science, Vol. 12, Issue 7 · 12 Aug 2016 · 7,673 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCognitively Inspired Algorithm for Imprecise NavigationMelissa Shahrom, Zalilah Abd AzizThis paper presents an algorithm, namely the private navigation algorithm. The aim of this algorithm is to bridge the gap between high quality navigation services and low quality of location information or imprecise data. Generally, the imprecision is due to the poor positioning technology and the algorithms use to protect location privacy. The benefits of the algorithm are at least … …Journal of Computer Science, Vol. 12, Issue 6 · 14 Jul 2016 · 7,097 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBroken Character Image Restoration Using Genetic Snake Algorithm: Deep Concavity ProblemQusay Omran Mosa, Mohammad Faidzul NasrudinActive contours also known as snakes became a familiar and widely used in the field of image segmentation and restoration of historical documents in last few decades. Gradient Vector Flow (GVF) snake successes in overcome of converge to boundary concavities which represents the drawback of traditional snakes. Deep concavity problem it has become Obstacle faced GVF snake when restoring broken … …Journal of Computer Science, Vol. 12, Issue 2 · 22 Mar 2016 · 7,350 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,381 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDocument Clustering Based on Firefly AlgorithmAthraa Jasim Mohammed, Yuhanis Yusof, Husniza HusniDocument clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization. This study explores the adaptation of another swarm algorithm which … …Journal of Computer Science, Vol. 11, Issue 3 · 26 Mar 2015 · 7,510 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Utilisation of Dijkstra's Algorithm to Assist Evacuation Route in Higher and Close BuildingNor Amalina Mohd Sabri, Abd Samad Hasan Basari, Burairah Husin, Khyrina Airin Fariza Abu SamahFinding a shortest path in a high rise building during critical incident or evacuation is facing two main issues which are evacuees find difficulties to find the best routes and their behavior makes the process more difficult. These problems are important since it is related to the human's life. By providing the shortest path and control the evacuee behavior, these … …Journal of Computer Science, Vol. 11, Issue 2 · 28 Jan 2015 · 8,172 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA GENETIC ALGORITHM FOR A SIMULTANEOUS OPTIMISATION OF COST-RISK REDUCTION UNDER A JUST-IN-TIME ADAPTIONFaraj El Dabee, Romeo Marian, Yousef AmerJust-In-Time (JIT) as a lean manufacturing approach plays a significant role in minimising costs and performances of products and services supplied to the global marketplace. However, there are many potential risks that cause significant disruptions to all supply chain members. This study proposes a genetic approach for optimising a novel mathematical model for simultaneously minimising the total cost of a … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,692 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHMAmr Adel, Essam ElFakharany, Amr BadrAs the popularity of Twitter continues to increase rapidly, it is extremely necessary to analyze the huge amount of data that Twitter users generate. A popular method of tweet analysis is clustering. Because most tweets are textual, this study focuses on clustering tweets based on their textual content similarity. This study presents tweet clustering using cellular genetic algorithm cGA. The … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 7,915 accessesView PDFCite