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Research ArticleOpen accessIn the keywordsPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,791 accessesView PDFCite
Case ReportOpen accessIn the keywordsTraditional Fishermen in Rote Island: An Alternative Livelihood to Illegal Fishing Activities in the Indonesian-Australian Transboundary WatersFred Benu, Paul G. King, AgusNalle, Moni MuskananAt the moment there are about 210 Indonesian fishermen, many from Rote Island, the majority from the village of Papela, still detained in Australia Detention Centres for carrying on illegal fishing activities in the Australian Exclusive Economic Zone. These fishing activities are not driven by economic factors only, but also by their historical background. By understanding the economic, historical and … …American Journal of Agricultural and Biological Sciences, Vol. 13, Issue 1 · 27 Jul 2018 · 9,411 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Empirical Study of Efficiency Evaluation with Dynamic Strategy Trajectory Based on DEA Algorithm and BCG Model: A Case Study of Securities IndustryCheng-Shian Lin, Chun-Yueh LinThe U.S. Subprime Mortgage Crisis in 2008 led many financial institutions, including those in the securities industry, to the verge of bankruptcy. As the securities industry has a pivotal position in financial markets, this study aims to use Data Envelopment Analysis (DEA) to discuss the efficiency of the securities industry after the Financial Tsunami. In addition, this paper integrates the … …Journal of Social Sciences, Vol. 14, Issue 1 · 4 Apr 2018 · 8,169 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHOW PUBLIC ORGANISATIONAL STRUCTURES INFLUENCE SOFTWARE DEVELOPMENT PROCESSESMohammed A. Bindrees, Robert J. Pooley, Idris S. Ibrahim, Diana S. BentalSoftware applications are developed differently based on each organisation's needs and requirements. Software projects are fundamentally based on three considerations (time, cost and quality) each of which is affected by organisational factors. Both Project Management and Software Engineering have emphasised the role of organisation structure on the quality of the deliverable software applications, recognising that organisation structure influences flexibility, reporting … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,991 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN INTELLIGENT RECOGNITION SYSTEM FOR IDENTIFICATION OF WOOD SPECIESS. Mohan, K. Venkatachalapathy, P. SudhakarThe recognition of wood species is needed is many areas like construction industry, furniture manufacturing, etc.,. The wood is traditionally classified by human experts. But human identification of wood type is not accurate and the manual identification is a time consuming process. So in this study, an intelligent recognition for identification of wood species was developed. This study uses image … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,812 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContext Aware Middleware Model for Handling Vehicular Safety IssuesArunkumar Thangavelu, R. A.K. SaravanaguruProblem statement: This study proposed a mathematical model for the existing framework InVANET; context prediction and simulation for vehicle safety. Approach: Markov process was used to model context and predict the states with the help of transition probability matrix. The context parameters were collected from CarSim simulator and inferred using JENA and SPARQL. Results: The longitudinal speed and lateral offset … …Journal of Computer Science, Vol. 8, Issue 8 · 12 Jul 2012 · 7,105 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSome Applications of Spanning Trees in Complete and Complete Bipartite GraphsS. N. DaoudProblem statement: The number of spanning trees τ(G) in graphs (networks) is an important invariant, it is also an important measure of reliability of a network. Approach: Using linear algebra and matrix analysis techniques to evaluate the associated determinants. Results: In this study we derive simple formulas for the number of spanning trees of complete graph Kn and complete bipartite … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 15 Feb 2012 · 7,266 accessesView PDFCite
Research ArticleOpen accessIn the keywordsKnowledge Management Capabilities RubricsAzizah bt Abdul Rahman, Sara HassaniProblem statement: Recently researchers discerned the vitality and importance of Knowledge Management Capabilities (KMC) evaluation in organizations. In fact evaluation of KMC helps to prevent failure in Knowledge Management (KM) projects. Approach: One of the most popular methods in the phase of evaluating KMC is Fuzzy method which evaluates seven attributes of KMC. Fuzzy needs KM experts to give their … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 15 Sep 2011 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSliding Mode Observer-Based Fault Reconstruction for Uncertain Linear SystemsSlim Dhahri, Faycal Ben Hmida, Anis SellamiProblem statement: Fault reconstruction scheme is different from the majority of Fault Detection and Isolation (FDI) methods described in the literature in the sense that it not only detects and isolates the fault, but provides an estimate of the fault. This approach is very useful for incipient faults and slow drifts, which are very difficult to detect. Also, this approach … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 8 Sep 2011 · 7,354 accessesView PDFCite