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78 results for “Global Optimization”
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Research ArticleOpen accessIn the abstractThermodynamics, Non-Linear Isotherms, Statistical Modeling and Optimization of Phosphorus Adsorption from WastewaterAkinpelu Kamoru BabayemiPalm Kernel Shell (PKN), an eco-friendly biomass, was carbonized and activated for the removal of phosphorus from wastewater through batch adsorption process. The studies evaluate the effects of pH, particle size, dosage and contact time on the adsorption capacity of the prepared adsorbent. The equilibrium concentration data and the amount of adsorption were described using non-linear regression analysis of the … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 19 Nov 2016 · 7,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractAsymptotic Properties of Local Sampling on ManifoldYury Aleksandrovich YanovichIn many applications, the real high-dimensional data occupy only a very small part in the high dimensional ‘observation space’ whose intrinsic dimension is small. The most popular model of such data is Manifold model which assumes that the data lie on or near an unknown manifold Data Manifold, (DM) of lower dimensionality embedded in an ambient high-dimensional input space (Manifold … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 26 Aug 2016 · 7,698 accessesView PDFCite
EditorialOpen accessIn the abstractRECENT TRENDS AND CHALLENGES OF ENERGY EFFICIENT AND SUSTAINABLE BUILDINGSChiara BedonAccording to several studies (e.g., the Intergovernmental Panel on Climate Change (IPCC, 2014), the US Energy Information Administration (US EIA, 2014), warming of the climate system is unequivocal and mainly derives from greenhouse gas emissions due to human activities. Global Carbon Dioxide (CO2) emissions from fossil fuels, for example, are estimated to be 29% higher in 2035 than they were … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 11 Sep 2014 · 8,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVED PREDICTION FOR MEDIUM OPTIMIZATION USING FACTORIAL SCREENING FOR DOCOSAHEXAENOIC ACID PRODUCTION BY SCHIZOCHYTRIUM SP. SW1Vidyah Manikan, Mohd Sahaid Kalil, Mohd Hafez Mohd Isa, Aidil Abdul HamidDocosa Hexaenoic Acid (DHA) is an essential fatty acid that plays major role in human health. It is typically extracted from fatty fish and this puts pressure on global fish stock. DHA obtained from fish is also prone to contamination. Schizochytrium is a potential alternative source, having the ability of accumulating considerable amounts of DHA. Modification of medium components and … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 15 Jan 2014 · 7,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractC-LOAD POWER CONTROL PROTOCOL-CROSS-LAYER DESIGN OF A NETWORK LAYER LOAD POWER CONTROL PROTOCOL IN WIRELESS AD HOC NETWORKSA. Arivoli, P. NarayanasamyIn wireless ad hoc network scenario, Cross-layer design is emerging, important in wireless ad hoc network and the power control methods. Power control is the intelligent selection of transmit power in a communication to achieve the better performance within the system. Cross-layer is used to sharing the information between the layers. Physical to Transport layer information are shared in this … …Journal of Computer Science, Vol. 10, Issue 3 · 30 Nov 2013 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractFEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORKYogapriya Jaganathan, Ila VennilaFeature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research field. The proposed CBMIR is used a unified approach based on extraction of visual features, optimized feature selection, classification of optimized features and similarity … …Journal of Computer Science, Vol. 9, Issue 11 · 24 Sep 2013 · 6,982 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Parametric Optimization of an Organic Rankine Cycle Powered by Solar EnergyFrancesco Calise, Claudio Capuozzo, Laura VanoliThis study presents the simulation and performance analysis of a regenerative and superheated Organic Rankine Cycle (ORC). To this scope, anew simulation model has been developed. The model is based on zero-dimensional energy and mass balances for all the components of the system. Shell and tube heat expanders with single shell and double tube pass have been chosen. Pump and … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 2 · 15 May 2013 · 7,684 accessesView PDFCite
Research ArticleOpen accessIn the abstractScheduling of Automated Guided Vehicle and Flexible Jobshop using Jumping Genes Genetic AlgorithmP. Paul Pandian, S. Saravana Sankar, S. G. Ponnambalam, M. Victor RajProblem statement: Now a day’s many researchers try Genetic algorithm based optimization to find near optimal solution for flexible job shop. It is a global search. In Our study in the GA, some changes are made to search locally and globally by adding jumping genes operation. A typical flexible job shop model is considered for this research study. For that … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Approach for Heterogeneous Radio Access Technology SelectionJ. Preethi, S. PalaniswamiProblem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 7,037 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,967 accessesView PDFCite