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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 · 6,647 accessesView PDFCite
Research ArticleOpen accessIn the abstractMAXIMUM LIKELIHOOD ESTIMATION FOR SPATIAL DURBIN MODELRokhana Dwi Bekti, Anita Rahayu, SutiknoSpatial Durbin Model (SDM) is one method of spatial autoregressive. This model was developed because the dependencies in the spatial relationships not only occur in the dependent variable, but also on the independent variables. In the assessment of parameter estimation, the process is carried out by Maximum Likelihood Estimation (MLE). This estimation can be approximation by Spatial Autoregressive Models (SAR). … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 15 Jun 2013 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractObservation Modeling for Continuous Predicting Global and Diffuse Solar Radiation on Horizontal SurfaceSomporn Hongkong, Singthong PattanasethanonMathematical modeling for continuous prediction of solar energy is inevitable for energy systems. General, existing models are mostly empirical and data dependent. This article has to present a variable model for predicting global and diffuse solar radiation on the horizontal plane. The model considered in this study has applied Hidden Markov Model (HMM) with two observations. The databases were measured … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 23 May 2013 · 6,797 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Durbin Model to Identify Influential Factors of DiarrheaRokhana Dwi Bekti, SutiknoProblem statement: An analysis of regression modeling which influenced by the characteristics of the region is very important. That modeling is the spatial autoregressive model. One type of spatial autoregressive model is a Spatial Durbin Model (SDM), which performs a lag effect of the dependent and independent variables. This model was developed because the dependencies in the spatial relationships doesn’t … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Gaussian Process Regression Model for the Traveling Salesman ProblemWanatchapong Kongkaew, Juta PichitlamkenProblem statement: Traveling Salesman Problem (TSP) is a famous NP hard problem. Many approaches have been proposed up to date for solving TSP. We consider a TSP tour as a dependent variable and its corresponding distance as an independent variable. If a predictive function can be formulated from arbitrary sample tours, the optimal tour may be predicted from this function. … …Journal of Computer Science, Vol. 8, Issue 10 · 30 Aug 2012 · 7,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentifying the Factors Affecting the Participation of Agricultural Cooperatives' MembersBagher ArayeshProblem statement: 40-year history of agricultural production cooperatives in the country shows that this type of exploitation system has faced many ups and downs during this period. First, despite the help and support by the government, the cooperative sector has not been able to play a major role in the development of the country and its share has not exceeded … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 31 Dec 2011 · 8,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy on Nitrogen Concentration of Corn HybridsPravin Gautam, Dawn Gustafson, Zeno Wicks IIIProblem statement: Though Nitrogen (N) is vital in different physiological and developmental processes in plants and animals, it poses several environmental, nutritional and health problems, if present in excess amounts. Reduction in excess input of N into the soil, thereby reducing environmental problems and consequently nutritional and health problems, can be achieved by balancing their concentration in animal feed. Therefore, … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 10 Mar 2011 · 8,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Vector Normalized Adaptive Algorithm Applied to Adaptive Noise Canceller and System IdentificationZayed RamadanProblem statement: This study introduced a variable step-size Least Mean-Square (LMS) algorithm in which the step-size is dependent on the Euclidian vector norm of the system output error. The error vector includes the last L values of the error, where L is a parameter to be chosen properly together with other parameters in the proposed algorithm to achieve a trade-off … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractElapse Time Factor on Induced Vegetative Moisture Uptake in an Unsaturated SoilMuazu Mohammed Abdullahi, Nazri Bn Ali, Kamarudin Bn Haj AhmedProblem statement: Soil consolidation is generally time dependent, therefore soil displacement as a result root water uptake is space and time dependent. The time-dependent nature of abstraction of ground water by vegetation need to be evaluated in order understand the effect of time elapse on matric suction a generation and subsequent ground displacement. Approach: The current approach used the theory … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerceived Workplace Culture as an Antecedent of Job Stress: The Mediating Role of Work-Family ConflictAminah Ahmad, Zoharah OmarProblem statement: Few studies have tested the mediating effect of work-family conflict on the relationship between workplace culture and job stress. Approach: This study tested a mediation model consisting of job stress as the dependent variable, perceived family-supportive work culture as the independent variable and work-family conflict as the mediator. Data were gathered from 693 employees from private service organizations … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 8,151 accessesView PDFCite