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56 results for “Minimization”
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Research ArticleOpen accessIn the abstractLow Power Multiplier by Effective Capacitance ReductionNageshwar Reddy Peddamgari, Damu RadhakrishnanIn this study we present an energy efficient multiplier design based on effective capacitance minimization. Only the partial product reduction stage in the multiplier is considered in this research. The effective capacitance at a node is defined as the product of capacitance and switching activity at that node. Hence to minimize the effective capacitance, we decided to ensure that the … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 22 Feb 2017 · 7,462 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Classification Method Based on Data DecompositionAyman E. Khedr, Amira M. Idrees, Ahmed I. El SeddawyKnowledge discovery is one of the vital fields which strongly supports decision making by applying different techniques based on the targeted field and the required information. Focusing on clustering and classification techniques, this paper presents an approach for adapting one of the classification algorithms for supporting decision making procedure in radiology data analysis field. The proposed adaptation is based on … …Journal of Computer Science, Vol. 12, Issue 1 · 20 Feb 2016 · 7,423 accessesView PDFCite
Research ArticleOpen accessIn the abstractBIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA MarkersSarika Jaiswal, Sandeep Kumar Dhanda, M. A. Iquebal et al.Domestic cow, Bos taurus is one of the important species selected by humans for various traits, viz. milk yield, meat quality, draft ability, resistance to disease and pests and social and religious reasons. Since cattle domestication from Neolithic (8,000-10,000 years ago) today the population has reached 1.5 billion and further it’s likely to be 2.6 billion by 2050. High magnitude … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 23 Jan 2016 · 9,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution StrategyIlyani Akmar, A.B, O. Kramer, T. RabczukIn this study, an application of evolutionary multi-objective optimization algorithms on the optimization of sandwich structures is presented. The solution strategy is known as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution Strategies (ES) as Evolutionary Algorithm (EA) in the elitist Non-dominated Sorting Genetic algorithm (NSGA-II) procedure. Evolutionary algorithm seems a compatible approach to resolve multi-objective optimization problems because it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 22 Apr 2015 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EXPERIMENTAL STUDY ON THE HEAT ENHANCEMENT AND THE BIO-HEAT TRANSFER USING GOLD MACRO ROD AND ULTRASOUND: A POTENTIAL ALTERNATIVE TO KILL CANCER CELLSC. Austerlitz, I. Gkigkitzis, D. Campos, I. HaranasWe have previously proposed a method of treating solid tumors with a combination of gold macro-rods irradiated with ultrasound. Macro particle sized rods offer a greater circumferential treatment area over nanoparticle options. Experimental studies were conducted to investigate the heat enhancement and the bio-heat transfer to breast chicken using gold macro rod and ultrasound. An ultrasound, other than a focused … …Physics International, Vol. 5, Issue 2 · 26 May 2014 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MULTILEVEL CONVERTER WITH REDUCED NUMBER OF SWITCHES FOR FUEL CELL POWER CONDITIONING SYSTEMK. Prasada Rao, Sukhdeo SaoThis study investigates the potentials of cascaded five and seven level converters with reduced number of switches for fuel cell power conditioning system. Fuel cells is one of the most important sources of distributed energy because of its high efficiency, high energy density, plus high reliability and long life due to few moving parts. This study proposes a suitable multilevel … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 11 Apr 2014 · 6,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractOPTIMIZATION OF DESIGN AND PERFORMANCE CHARACTERISTICS OF HEATING SYSTEM OF PRESS EQUIPMENTAndrey Vladimirovich Ostroukh, Alexey Olegovic Glebov, Sergey Vladimirovich Karpov et al.The manufacturing of rubber products has a steady growth. Thereby modernization of existing and design of new advanced equipment for this industry is a topical problem. The article is devoted to optimization of design and performance characteristics of press equipment’s heating system, realizing the process of hot vulcanization rubber in molds. The optimization methodic is based on minimization of temperature … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 4 Apr 2014 · 7,309 accessesView PDFCite
Research ArticleOpen accessIn the abstractLANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONSMirko DohnalLandfills are unique and difficult to measure. Their optimization must be solved with a severe lack of information. The privilege of not utilizing information items based on common sense cannot be afforded, as this represents an important part of the available ad hoc landfill knowledge related to e.g., economics, sociology. Therefore, a flexible, formal tool for dealing with the common … …American Journal of Environmental Sciences, Vol. 10, Issue 1 · 11 Feb 2014 · 7,245 accessesView PDFCite
Research ArticleOpen accessIn the abstractCUCKOO SEARCH-AIDED LMS ALGORITHM FOR CHANNEL ESTIMATION IN MC-CDMA SYSTEMSS. Balaji, N. VasudevanIn the progress of transmission systems that uses the diversity in various domains, the execution of competent baseband receivers categorized by affordable computational load is an essential thing. This would be an imperative point in the future expansion of 4G systems in which the space, time and frequency diversity will be merged together to enhance the system throughput. Here, we … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractHEURISTIC DISCRETIZATION METHOD FOR BAYESIAN NETWORKSMariana D.C. Lima, Silvia M. Nassar, Pedro Ivo R.B.G. Rodrigues et al.Bayesian Network (BN) is a classification technique widely used in Artificial Intelligence. Its structure is a Direct Acyclic Graph (DAG) used to model the association of categorical variables. However, in cases where the variables are numerical, a previous discretization is necessary. Discretization methods are usually based on a statistical approach using the data distribution, such as division by quartiles. In … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 7,054 accessesView PDFCite