Research ArticleOpen accessIn the abstractComprehensive Investigation into the Exergy Values of Six Rice HusksYaning Zhang, A.E. Ghaly, Bingxi LiExergy is a measurement of how far a certain system or material deviates from a state of equilibrium with the environment and it is a useful tool for improving the efficiency of energy-resource use. Based on the previous work, the exergy values of six rice husks were investigated in this study. The effects of physical and chemical properties were also … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 2 · 10 Jun 2013 · 7,596 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Network Dependent Exclusive Mutual Interpolation for Missing Value ImputationR. S. Somasundaram, R. NedunchezhianThe success of data mining relies on the purity of the data set. Before performing the data mining, the data has to be cleaned. An unprocessed data set may contain noisy or missing values which is a critical research issue in the pre-processing stage. Imputation methods are being used to solve the missing value problems. In this proposed work, a … …Journal of Computer Science, Vol. 9, Issue 3 · 24 Apr 2013 · 7,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractSafety Health Impacts of Particulate Matter from Excavation Work SitesGiuseppe Pizzo, Marina ClericoEpidemiological studies have shown a linear relationship between airborne particulates and effects on human health. This study examines the risk that can be run by populations which are exposed to significant pollutant sources such as excavation in urban areas for renovation work. The health risk assessment methodology defined by the WHO air quality guidelines for Europe was applied to assess … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 25 Jul 2012 · 7,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Living Values-Based Contextual Learning to Develop the Students' CharacterKokom KomalasariProblem statement: University has an important role in the process of young generation character education. The character education should be integrated through the living values-based contextual learning model in order to be easier internalized and implemented. This study aimed at describing: (1) the living values-based contextual learning model conceptually in lecturing; (2) the implementation of the living values-based contextual learning … …Journal of Social Sciences, Vol. 8, Issue 2 · 6 Mar 2012 · 9,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Successive Overrelaxation MethodI. K. YoussefProblem statement: A new variant of the Successive Overrelaxation (SOR) method for solving linear algebraic systems, the KSOR method was introduced. The treatment depends on the assumption that the current component can be used simultaneously in the evaluation in addition to the use the most recent calculated components as in the SOR method. Approach: Using the hidden explicit characterization of … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 22 Feb 2012 · 12,799 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticulate Matter in the Excavation Work Sites in Urban AreasGiuseppe Pizzo, Marina ClericoProblem statement: Excavation work sites in urban areas for infrastructures and buildings cause a great deal of disturbance and damage due to the emission of particulate matter, in particular in the area involved in urban renovation work. Under Italian legislation limits currently exist for PM10 and PM2, 5 but, in the case of excavation work sites, it would be also … …American Journal of Environmental Sciences, Vol. 7, Issue 6 · 23 Dec 2011 · 6,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cluster Feature-Based Incremental Clustering Approach to Mixed DataA. M. Sowjanya, M. ShashiProblem statement: The main objective of this study is to develop an incremental clustering algorithm that can handle numerical as well as categorical attributes in a given dataset. The authors have previously reported a cluster feature-based algorithm, CFICA that can handle only numerical data. Appraoch: Since many of the real life data mining applications work with datasets that contain both … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 7,159 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 · 6,671 accessesView PDFCite