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24 results for “data intensive application”
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Research ArticleOpen accessIn the abstractDeveloping a Geographic Information System-Based Assessment Model for Sustainable Metropolitan Development: The Case of the Semarang Metropolitan Region, IndonesiaImam Buchori, Agung Sugiri, Sudharto P Hadi et al.Spatial dynamics of metropolitan development are becoming important issues in sustainable development. In developing countries like Indonesia, the growth of metropolitan regions is often followed by problems of unsustainability. Therefore, a framework of assessment for metropolitan development can be useful as an early means of identifying any untoward aspects. This study aims to develop an assessment system that is easily … …American Journal of Environmental Sciences, Vol. 11, Issue 2 · 15 May 2015 · 7,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFECTIVE OPTIMIZED GENETIC ALGORITHM FOR SCALABLE INFORMATION RETRIEVAL FROM CLOUD USING BIG DATAR. Palson Kennedy, T. V. GopalThe distributed computations are broadly used in the current world for processing large scale jobs. For data intensive applications with big data, it has recently received a very good attention. A simple programming model that allows easy development of scalable parallel applications to process big data on large clusters was required. In our proposed work the input files will be … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssisted History Matching for Petroleum Reservoirs in the Social Computing EraMichel Cancelliere, Dario Viberti, Francesca VergaThe exploitation strategy of hydrocarbon reservoirs can be technically and economically optimized only if a reliable numerical model of the reservoir under investigation is available to predict the system response for different production scenarios. A numerical model can be reasonably trustworthy after calibration only, which means the model has at least proved its ability to reproduce the historical behavior of … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Coaching Using Six SigmaDumitru Colibaba-Evulet, Andrei EvuletProblem statement: In today’s sports world, coaching and training methods are the subject of intensive competition amongst rivals. Innovative technologies, methodologies and preparation methods are employed to achieve a sustainable competitive advantage. Effective performance measurement, statistical analysis and data based decision taking have been identified as key elements towards efficient performance management. The statistical approach has been emphasized in order … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 8,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractColored Image Compression Using Gradient Adjustment Prediction Based WaveletMuna Faik Hanoon Al-SammraieProblem statement: Uncompressed graphics, audio and video data require considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive digital audio, image and video (multimedia) based web applications, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoad Allocation Model for Scheduling Divisible Data Grid ApplicationsMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamProblem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractClosed form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple SourcesMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamScheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present (TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,433 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 abstractQuality Research Framework: Enumerative Study Versus Analytic Study from Deming's PerspectiveKang Eng ThyeProblem statement: The right research framework is the only way to lead us to become champions in our respective disciplines and certainly to be recognized as an excellent referral center of knowledge for the world. Deming, a well-known quality guru, has defined two research frameworks, namely enumerative study and analytic study. They are totally different in their applications and implications. … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 8,957 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,680 accessesView PDFCite