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Srinivasan P.S.S.,Knowledge Institute of Technology Salem | Ravikumar M.,Bannariamman Institute of Technology
Journal of Mechanical Science and Technology | Year: 2014

We analyzed of heat transmission across three roof structures ; bare RCC (reinforced cement concrete) roof, RCC roof with weathering coarse and RCC roof with PCM (phase change material) above RCC. A transient numerical procedure was developed. ANSYS-Fluent 12 finite volume method based software was used for solving the problem. The numerical procedure was validated against the available experimental data. The simulation was carried out on 365 days of the year for these three roofs. The PCM melted from 8 h to 18 h and solidified during the rest of the day. From March to August, the net heat entering into the room per day is positive, thus more and more PCM melts and becomes liquid. The liquid portion of PCM increases from March to August, during September to February, there is a net heat rejection per day, thus the melted PCM becomes solid progressively, and at the end of February, almost all PCM has become solid. Thus there is a melting cycle on a daily basis and over the year. It takes care of all the external climatic variations and keeps the roof bottom surface temperature almost constant and close to room air temperature. On yearly basis, about 56% reduction in heat transmission into the room is obtained with PCM roof when compared to the conventional weathering coarse laid roof. © 2014 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg. Source


Saravanan R.,Bannariamman Institute of Technology | Ramabalan S.,Alagappa Chettiar College of Engineering And Technology | Balamurugan C.,Alagappa Chettiar College of Engineering And Technology | Subash A.,Alagappa Chettiar College of Engineering And Technology
International Journal of Automation and Computing | Year: 2010

This paper presents a novel general method for computing optimal motions of an industrial robot manipulator (AdeptOne XL robot) in the presence of fixed and oscillating obstacles. The optimization model considers the nonlinear manipulator dynamics, actuator constraints, joint limits, and obstacle avoidance. The problem has 6 objective functions, 88 variables, and 21 constraints. Two evolutionary algorithms, namely, elitist non-dominated sorting genetic algorithm (NSGA-II) and multi-objective differential evolution (MODE), have been used for the optimization. Two methods (normalized weighting objective functions and average fitness factor) are used to select the best solution tradeoffs. Two multi-objective performance measures, namely solution spread measure and ratio of non-dominated individuals, are used to evaluate the Pareto optimal fronts. Two multi-objective performance measures, namely, optimizer overhead and algorithm effort, are used to find the computational effort of the optimization algorithm. The trajectories are defined by B-spline functions. The results obtained from NSGA-II and MODE are compared and analyzed. © 2010 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg. Source


Renukadevi N.T.,Kongu Engineering College | Thangaraj P.,Bannariamman Institute of Technology
Life Science Journal | Year: 2013

The automatic medical image classification is useful in building a content-based medical image retrieval system. In this paper, a classification system for CT Medical Images is presented. Coiflet wavelets are used to extract feature from the CT images. The extracted features are then classified using Support Vector Machine (SVM) with Radial Basis Function (RBF). The accuracy of the SVM depends on the parameters C and gamma of the RBF kernel. The parameter selection is treated as an optimization problem wherein a search technique is used to the optimal parameters to maximize the SVM performance. In this work, Particle Swarm Optimization (PSO) is implemented to select the values of two SVM parameters for classification problems. The PSO is further modified using Genetic Algorithm to achieve optimal parameter values for the RBF kernel. Source


Ravikumar M.,Bannariamman Institute of Technology | Srinivasan P.S.,Knowledge Institute of Technology
ARPN Journal of Engineering and Applied Sciences | Year: 2012

Analysis of heat transmission across three roof structures viz., bare RCC roof, RCC roof with weathering coarse and RCC roof with PCM (Phase Change Material) above RCC, are analyzed. A transient numerical procedure is developed. The numerical procedure is validated against the available experimental data. The simulation is carried out on 365 days of year for these three roofs. The PCM melts from 8h to 18h and solidifies during rest of the day. From March to August, the net heat entering into the room per day is positive, thus more and more PCM melts and becomes liquid. The liquid portion of PCM increases from March to August. During September to February, there is a net heat rejection per day, thus the melted PCM becomes solid progressively, and at the end of February, almost all PCM has become solid. Thus there is melting cycle on daily basis and over the year. It takes care of all the external climatic variations and keeps the roof bottom surface temperature almost constant and closes to room air temperature. On yearly basis, about 56% reduction in heat transmission into the room is obtained with PCM roof when compared to the conventional weathering coarse laid roof. © 2006-2012 Asian Research Publishing Network (ARPN). Source


Magesh,Indian Institute of Road and Transport Technology | Thangaraj,Bannariamman Institute of Technology
Journal of Computer Science | Year: 2013

The ontology based framework is developed for representing image domain. The textual features of images are extracted and annotated as the part of the ontology. The ontology is represented in Web Ontology Language (OWL) format which is based on Resource Description Framework (RDF) and Resource Description Framework Schema (RDFS). Internally, the RDF statements represent an RDF graph which provides the way to represent the image data in a semantic manner. Various tools and languages are used to retrieve the semantically relevant textual data from ontology model. The SPARQL query language is more popular methods to retrieve the textual data stored in the ontology. The text or keyword based search is not adequate for retrieving images. The end users are not able to convey the visual features of an image in SPARQL query form. Moreover, the SPARQL query provides more accurate results by traversing through RDF graph. The relevant images cannot be retrieved by one to one mapping. So the relevancy can be provided by some kind of onto mapping. The relevancy is achieved by applying a decision tree algorithm. This study proposes methods to retrieve the images from ontology and compare the image retrieval performance by using SPARQL query language, decision tree algorithm and Lire which is an open source image search engine. The SPARQL query language is used to retrieving the semantically relevant images using keyword based annotation and the decision tree algorithms are used in retrieving the relevant images using visual features of an image. Lastly, the image retrieval efficiency is compared and graph is plotted to indicate the efficiency of the system. © 2013 Science Publications. Source

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