Time filter

Source Type

Shanmugam A.,Bannariamman Institute of Technology
Journal of Theoretical and Applied Information Technology | Year: 2013

This paper is proposed to remove the noise from the speech signal in real time environment. The quality of audio signal can be improved by filtering the degraded speech signal through adaptive filters. For Noise cancellation widrow & hoff's Least Mean Square (LMS) algorithms are being used for simplicity in implementation. But LMS algorithm has limitation in selection of a certain values such as step size which implies dilemma in fast convergence rate and Excess mean square error (EMSE) and results in computational complexity. This paper analyse the performance of Variable Step Size Normalised LMS, Normalised Differential LMS with proposed VSSNDLMS with different input signals. Finally, through simulation results the proposed VSSNDLMS algorithm converges fastly with minimum mean square error and it is useful in predicting the adaptive filter performance of various algorithms and the implementation indicate the improvement in quality of the speech signal. © 2005 - 2013 JATIT & LLS. All rights reserved.


Ravikumar M.,Bannariamman Institute of Technology | Srinivasan P.S.S.,Knowledge Institute of Technology
European Journal of Scientific Research | Year: 2011

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 analysed. 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 analysis has shown that the melting and solidification of PCM, over the day-night cycle and over summer-winter cycle during the year, take care of all the external climatic variations and keep 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. © EuroJournals Publishing, Inc. 2011.


Ravikumar M.,Bannariamman Institute of Technology | Srinivasan P.S.S.,Knowledge Institute of Technology
Journal of Computational Information Systems | 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 analysed. 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. © 2011 by Binary Information Press.


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).


Singaravelu M.,Bannariamman Institute of Technology | Gudo A.J.A.,Tamil Nadu Agricultural University
Proceeding of IEEE - 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics, IEEE - AEEICB 2016 | Year: 2016

A pilot scale UASB reactor designed to handle 6800 L of the liquid influent, was installed in GVG Paper Mill Industry, Udumalpet in Tamil Nadu. The COD of the influent varied from 4100 to 6500 10-3 kg/m3 during the experiments. The liquid waste was passed through the anaerobic reactor in up flow mode, with a hydraulic retention time (HRT) of about 3, 6, 9, 12, and 15 h that correspond to the influent flow rates of 2.27, 1.13, 0.76, 0.57, 0.45 m3/h respectively. Each trial was conducted continuously for 10 days. The highest average biogas production of 9.3 m3 is obtained at 6 h HRT with the corresponding influent flow rate of 1.13 m3/ h. The calorific value of the biogas varies from 5122 to 5406 kcal/m3. The methane content varies from 50.7 to 62.4%. The reactor has the pay back period of 6 to 6.1 years. The 6 h HRT (1.13 m3/h of influent flow rate) can be recommended for biomethanation of paper mill liquid effluent in the designed UASB reactor of 6.8 m3 capacity. © 2016 IEEE.


Velmurugan L.,EBET Group of Institutions | Thangaraj P.,Bannariamman Institute of Technology
Life Science Journal | Year: 2013

WLAN infrastructure planning for maintaining service quality gains importance due to numerous wireless devices getting connected to the internet. To maintain desired service quality users movement pattern should be known. Mobility prediction involves locating mobile device's next access point when it moves through a wireless network. Hidden Markov models and Bayesian approach were suggested to predict next hop This study proposes a new method for feature extraction and suggests a hidden Genetic Algorithm layer-GA-SOFM based new neural network classifier. The hypothesis is evaluated through the use of a month long syslog data of Dartmouth college mobility traces available online. This extracts mobility features and uses them to find the proposed model's classification accuracy.


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.


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.


Boopathi S.,Bannariamman Institute of Technology | Sivakumar K.,Bannariamman Institute of Technology
International Journal of Manufacturing Technology and Management | Year: 2016

Wire-cut electrical discharge machining (WEDM) is one of the important non-traditional machining processes to cut hard and high strength materials. It was observed from the literature that some environmental pollutants had been emitted owing to thermal decomposition of the liquid dielectric mediums used in WEDM. In this near-dry WEDM process, oxygen-mist is used as a dielectric medium which encourages the eco-friendly cutting process owing to minimal usage of liquid-based dielectric medium. In this paper, the experiments have been performed using the compressed oxygen gas mixed with minimum quantity of demineralised water as a dielectric medium. The design of experiments has been performed using Taguchi's L27 orthogonal array. The spark-current, pulse-on-time, oxygen-mist inlet pressure and mixing flow rate are selected as input parameters, and material removal rate and surface roughness are considered as response characteristics. After the experimentation, the regression analysis has been employed to develop the best mathematical models for the multi-objective optimisation purpose. Multi-objective artificial bee colony (MOABC) algorithm is introduced to predict the optimal set of input and output parameters using non-dominated Pareto-optimal-front solutions. Copyright © 2016 Inderscience Enterprises Ltd.


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.

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