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95 results for “coefficient of performance”
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Research ArticleOpen accessIn the abstractEstimation of Soils Electrical Resistivity using Artificial Neural Network ApproachKpomonè Komla Apaloo-Bara, Adekunlé Akim Salami, Mawugno Koffi Kodjo et al.The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which takes long time. Therefore, its prediction is important. This study investigates on predicting soil electrical resistivity using Artificial Neural Networks. Nine sites of our city (Lome, TOGO) were considered. After characterization … …American Journal of Applied Sciences, Vol. 16, Issue 2 · 13 Mar 2019 · 9,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Investigation on Turbulent Forced Convection in Heating Channel Inserted with Discrete V-Shaped BafflesAmnart Boonloi, Withada JedsadaratanachaiThe numerical examinations on flow visualization, heat transfer characteristic and performance improvement in a square duct inserted with discrete V-shaped baffles (DVB) are reported. The DVB is designed to reduce the pressure loss when compared with the V-shaped baffle. The influences of the flow blockage ratios (b/H, BR = 0.05-0.20), V-tip directions (V-Downstream and V-Upstream) are investigated for Reynolds number, … …Journal of Mathematics and Statistics, Vol. 12, Issue 1 · 15 Apr 2016 · 7,118 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Bayesian Learning for Automatic Arabic Text CategorizationBassam Al-Salemi, Mohd. Juzaiddin Ab AzizProblem statement: The rapid increasing of online Arabic documents necessitated applying Text Categorization techniques that are commonly used for English language to categorize them automatically. The complex morphology of Arabic language and its large vocabulary size make applying these techniques directly difficult and costly in time and effort. Approach: We have investigated Bayesian learning models in order to enhance Arabic … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,406 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 · 7,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Oxygen Transfer Correlations for Stirred Tank Bioreactor Agitated with Atypical Helical Ribbon ImpellerMohd Shamzi Mohamed, Rosfarizan Mohamad, Ramakrishnan Nagasundara Ramanan et al.Problem Statement: Mixing filamentous fungi entails delicate balance between promoting high volumetric oxygen transfer coefficient (kLa) while keeping low hydrodynamic stresses in the microenvironment of cultures. This study examined the oxygen transfer capability of a prototype low shear helical impeller as a potential replacement for the standard Rushton turbine. Approach: The dependence of kLa upon specific power uptake, superficial gas … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 9,169 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombustion Analysis of a CI Engine Performance Using Waste Cooking Biodiesel Fuel with an Artificial Neural Network AidGholamhassan NAJAFI, Barat GHOBADIAN, Talal F. YUSAF, Hadi RAHIMIA comprehensive combustion analysis has been conducted to evaluate the performance of a commercial DI engine, water cooled two cylinders, in-line, naturally aspirated, RD270 Ruggerini diesel engine using waste vegetable cooking oil as an alternative fuel. In order to compare the brake power and the torques values of the engine, it has been tested under same operating conditions with diesel … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 8,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Demonstration of Superiority of High-Frequency Short-Tests in Assessment When Teaching Statistics to Enhance Higher Student Pass RatesSolly Matshonisa Seeletse, Tshepo Matsose, Gezani Richman Miyambu, Eunice Lebogang SesaleWhen facilitating learning, quick and small assessments can assist to detect areas that require further reinforcement and also identify students who need extra help in understanding the concepts taught. This paper demonstrates with Statistics, a difficult subject to pass at Higher Education Institution (HEI) level, that when these tests are administered at high frequencies and in large numbers, students are … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Oct 2017 · 7,158 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Phase Support Vector Regression Soft Sensor for Online Product Quality Prediction in Glutamate Fermentation ProcessRongjian Zheng, Feng PanGlutamate fermentation is inherently nonlinear, multi-phase and an aerobic fermentation process. As long measurement delays and expensive apparatus cost, on-line measurement of the product concentration is not necessarily available. The present fermentation process monitoring and quality prediction involve manual interpretation of highly informative, however, the concentrations of substrates, biomass and products are only low frequency off-line measurements. In this paper, … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 6 Jun 2017 · 8,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractSparse Representation Tracking with Auxiliary Adaptive Appearance ModelsJunqiu Wang, Chao Yang, Zhichao Gan, Yasushi YagiWe propose an effective tracking algorithm based on sparse representation and auxiliary adaptive appearance modeling. Based on a sparse representation, l1 minimization can follow targets in challenging situations. Unfortunately, tracking approaches based on l1 minimization are likely to be inefficient because they measure using dense coefficient distributions. The number of target candidates can be very large when the state space … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 14 Jan 2017 · 7,681 accessesView PDFCite
Research ArticleOpen accessIn the abstractConformal Mapping of Temperature Variation in Compost HeapJonah Chukwuemeka Agunwamba, Oji Achuka NwokeLaboratory in vessel trapezoidal compost system was designed and constructed. Temperature variation in the compost heap was measured for five days at various depths. Mathematical model for the variation of temperature of the composting process was developed using Conformal Mapping Technique. One of the parameters in the model had two distinct roots, one a positive root and the other negative … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 17 Jun 2016 · 7,353 accessesView PDFCite