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68 results for “Data grid”
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Research ArticleOpen accessIn the abstractEfficient Approach for Security Information Retrieval by Using GridHameed Ullah KhanProblem statement: This article communicated an approach for determining the exact location/position of the target(s) (human) by applying Grid (matrix) method. Approach: The Main-Grid in-return further grouped into Mini-Grids; which will provide the target(s) information. To accomplish this idea the whole scenario is divided into three phases. Results: In the first phase data is collected from the targeted area, in … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,952 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Gate to Gate Assessment of Environmental Performance for Production of Crude Palm Kernel Oil Using Life Cycle Assessment ApproachS. Vijaya, A. N. Ma, Y. M. ChooProblem statement: The oil palm industry is an export orientated industry which heavily relies on the world market. In 2007 alone the total export earnings reached RM 45.1 billion. It is essential that the oil palm industry is ready to meet the higher expectation of its overseas customers on the environmental performance of the industry. Life Cycle Assessment (LCA) is … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigations of Two-Layer Earth Parameters at Low Voltage: Measurements and CalculationsRamdan E. Rajab, N. Mohamad Nor, K. RamarProblem statement: The two-layer soil model at low magnitude voltage is assumed to be accurate for the measurement and calculation of the earth resistance of a combined grid-multiple rods electrode. The aim of this study is to measure and calculate the earth resistance of a combined grid-multiple rods electrode buried in a two-layer soil and to confirm the simplicity and … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Computational Grid Services in Enterprise Grid EnvironmentsR.J.A. Richard, Ajay Anant Joshi, C. EswaranGrid Computing refers to the development of high performance computing environment or virtual super computing environment by utilizing available computing resources in a LAN, WAN and Internet. This new emerging research field offers enormous opportunities for e-Science applications such as astrophysics, bioinformatics, aerospace modeling, cancer research etc. Grid involves coordinating and sharing of computing power, application, data storage, network resources … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,368 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstructing a Grid Simulation for E-Governance Applications Using GridSimMrs. P. Sumathi, M. PunithavalliThis study provides a design framework for the adoption of grid computing for e-governance applications. Problem statement: E-Governance is the application of information and communication technology to achieve efficiency, effectiveness, transparency and accountability in Government to Government (G2G), Government to Employee (G2E), Government to Citizen (G2C) and Government to Business (G2B). It enables citizens to make best use of automated … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,766 accessesView PDFCite
Research ArticleOpen accessIn the abstractNimble Protein Sequence Alignment in Grid (NPSAG)K. Somasundaram, S. RadhakrishnanIn Bio-Informatics application, the analysis of protein sequence is a kind of computation driven science which has rapidly and quickly growing biological data. Also databases used in these applications are heterogeneous in nature and alignment of protein sequence using physical techniques is expensive, slow and results are not always guaranteed/accurate. So this application requires cross-platform, cost-effective and more computing power … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Load Balancing Algorithm in a Grid ComputingAbdallah Boukerram, Samira Ait Kaci AzzouThe emergence of the grid computing constituted by several resources stood out as platform of development for the industrial applications treating big quantities of data. In these environments of high- throughput computing, numerous researches were dedicated these last five years to the load balancing to make profitable the power of calculations in the grid. This paper describes the complete implementation … …American Journal of Applied Sciences, Vol. 3, Issue 4 · 30 Apr 2006 · 7,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Fall Armyworm (Spodoptera frugiperda, J.E. Smith) Pheromone Trap Based on Machine LearningSimon H. Chiwamba, Jackson Phiri, Philip O.Y. Nkunika et al.Maize is the main food crop that meets the nutritional needs of both humans and livestock in the sub-Saharan African region. Maize crop has in the recent past been threatened by the fall armyworm (Spodoptera frugiperda, J.E Smith) which has caused considerable maize yield losses in the region. Controlling this pest requires knowledge on the time, location and extent of … …Journal of Computer Science, Vol. 15, Issue 12 · 19 Dec 2019 · 8,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,864 accessesView PDFCite