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Research ArticleOpen accessIn the abstractProgrammable System on Chip Distributed Communication and Control Approach for Human Adaptive Mechanical SystemAhmad ‘Athif Mohd Faudzi, Koichi SuzumoriProblem statement: Communication and control are two main components in any Mechatronics system. They can be designed either by centralized or decentralized approach. Both approaches can be chosen based on application designed and specific requirements of the designer. In this study, decentralized or normally called distributed approach was selected to solved communication and control of a human adaptive mechanical system … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 6,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficiency Decomposition with Enhancing Russell Measure in Data Envelopment AnalysisTien-Hui Chen, Chiao-Pin Bao, Chi-Ming Huang, I-Chiang WangProblem statement: Most studies about the application of Data Envelopment Analysis (DEA) follow the concept of radial and non-radial efficiency measures. Because of some difficulties with the measure of weights, Russell measure utilizes the mean of all input/output efficiency measurements as the efficiency score of a specific business unit. However, this may render bias. Approach: This study provided a reasonable … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified Center Interpolation Net for Classification of Composite Structures Tested Using Low Frequency Electronic TappingMahmoud Z. IskandaraniProblem statement: Most exhaustive NDT techniques require large capital equipment, are difficult to apply to complex geometric structures and, above all, are time-consuming to use and some take a considerable time to complete. As a solution to the problems associated with NDT applications, there is a need to establish an intelligent analysis system that supports a portable testing environment, which … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,108 accessesView PDFCite
Research ArticleOpen accessIn the abstractProof-Carrying Code Based Tool for Secure Information Flow of Assembly ProgramsAbdulrahman Muthana, Abdul Azim Abd Ghani, Ramlan Mahmod, Hasan SelamatProblem statement: How a host (the code consumer) can determine with certainty that a downloaded program received from untrusted source (the code producer) will maintain the confidentiality of the data it manipulates and it is safe to install and execute. Approach: The approach adopted for verifying that a downloaded program will not leak confidential data to unauthorized parties was based … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,354 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficiency Comparison of Operational and Profitability: A Case of Hong Kong Commercial BanksCheng-Ru Wu, Hui-Yin Tsai, Ya-Mei WangProblem Statement: Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. The objectives of this study were: (i) This research was shown how to use DEA by two stages, with outputs from the first stage becoming inputs in … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Mathematical Programming Approach to DEA ModelsA. Azadeh, S.F. Ghaderi, Z. Javaheri, M. SaberiEvaluating the performance of activities or organizations by traditional Data Envelopment Analysis (DEA) as efficiency frontier analysis models requires crisp input/output data. However, in real-world problems inputs and outputs are often imprecise. This study develops DEA models using imprecise data represented by fuzzy sets. An important outcome of assessing relative efficiencies within a group of Decision Making Units (DMUs) in … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractFPGA Implementation of Power Aware FIR Filter Using Reduced Transition Pipelined Variable Precision GatingA. Senthilkumar, A. M. NatarajanWith the emergence of portable computing and communication system, power awareness is one of the major objectives of VLSI Design. This is its ability to scale power consumption based on the time-varying nature of inputs. Even though the system is not designed for being power aware, systems display variations in power consumption as conditions change. This implies, by the definition … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,962 accessesView PDFCite