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129 results for “model validation”
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Research ArticleOpen accessIn the abstractA NOVEL PRESSURIZED ZONAL MODEL USING THE MOMENTUM EQUATIONYao Yu, Ahmed Cherif MegriZonal models combine the simplicity of single and multi-zone models with the comprehensiveness of Computational Fluid Dynamics (CFD) models and thus become a better substitute to predict detailed thermal and airflow behaviors in building. Based on a geometric partitioning of a room into a number of subzones, these models give more accurate and detailed results than the single or multi-zone … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 25 Mar 2014 · 8,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractA TIME-DELAY CASCADING NEURAL NETWORK ARCHITECTURE FOR MODELING TIME-DEPENDENT PREDICTOR IN ONSET PREDICTIONAgus Buono, Imas Sukaesih Sitanggang, Mushthofa, Aziz KustiyoThe occurrence of rain before the real start of a rainy season often mislead farmers into thinking that rainy season has started and suggesting them to start planting immediately. In reality, rainy season has not started yet, causing the already-planted rice seed to experience dehydration. Therefore, a model that can predict the onset of rainy season is required, so that … …Journal of Computer Science, Vol. 10, Issue 6 · 29 Jan 2014 · 6,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractPartial Least Squares Regression Based Variables Selection for Water Level PredictionsNoraini Ibrahim, Antoni WibowoFloods are common phenomenon in the state of Kuala Krai, specifically in Kelantan-Malaysia. Every year, floods affecting biodiversity on this region and also causing property loss of this residential area. The residents in Kelantan always suffered from floods since the water overflows to the areas adjoining to the rivers, lakes or dams. Months, average monthly rainfall, temperature, relative humidity and … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 7 Apr 2013 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Multiresponse Semiparametric Regression ModelSri Haryatmi, I. Nyoman Budiantara, Wahyu WibowoThe modeling between predictors and response in statistics sometimes deals with more than one response or multiresponse situation. Furthermore, it can be happen that some predictors have linear relationship with the responses and the others predictor have unknown relationship. To overcome this modeling problem we proposed multiresponse semiparametric regression model. This model has more than one response and contains both … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 7,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning of Child Growth Chart Based on Multi-Response Local Polynomial ModelingNur Chamidah, I. Nyoman Budiantara, Sony Sunaryo, Ismaini ZainProblem statements: Anthropometry measures used to measure physical children growth are not onlyweight but also height and head circumference. In this study we develop the estimation of multi-response localpolynomial regression and apply it to design growth chart for children up to five years old based on three responsevariables i.e., weight, height and head circumference. Approach: Based on local polynomial estimator, … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 4 Sep 2012 · 7,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Modeling of a CI Engine for Optimization of Operating Parameters Such as Compression Ratio, Injection Timing and Injection Pressure for Better Performance and Emission Using Diesel-Diesel Biodiesel BlendsM. Venkatraman, G. DevaradjaneProblem statement: The present work describes a theoretical investigation concerning the performance of a four strokes compression ignition engine, which is powered by alternative fuels in the form of diesel and diesel biodiesel blends. Approach: The developed simulation model used to estimate the cylinder pressure, heat release rate, brake thermal efficiency, brake specific fuel consumption and engine out emissions. The … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 2 Aug 2011 · 7,735 accessesView PDFCite
Research ArticleOpen accessIn the abstractDurian Husk Properties and its Heating Value EquationPatomsok WilaiponProblem statement: Agricultural residue seems to be one of the most promising energy resources for developing countries. Among the other fruits, durian is a popular one for Thai people. Therefore, a large amount of durian husk is left at the shops or factories. This study was aimed to investigate the characteristics and heating value of durian husk and to develop … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 1 Aug 2011 · 7,865 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment and Validation of a Measure of Relational Leadership: Implications for Leadership Theory and PoliciesJames CarifioProblem statement: This study reports the development and validation of the Relational Leadership Questionnaire (RLQ). The consensus attributes of relational leadership are that the relational leader is caring, empowering, ethical, inclusive and has vision. These characteristics also reflect the newest theory and view of leadership in the psychological literature as well. Approach: For each of these 5 attributes, 10 Likert … …Current Research in Psychology, Vol. 1, Issue 1 · 20 Jun 2010 · 40,440 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,943 accessesView PDFCite