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Vasim Babu M.,Latha Mathavan Engineering College
Proceedings of 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2012 | Year: 2012

Localizing and tracking moving stimuli or objects is an essential capability for a sensor network in many applications. Discrete power Management is an efficient way to construct a reliable and energy efficient network topology in WSN. At the same time Location awareness is also important for wireless sensor networks since many applications such as environment monitoring and Tracking. Hence. MCL is a version of Markov localization, a family of probabilistic approaches that have recently been applied with great practical success. In this paper we introduce the new power mapping algorithm based on discrete antithetic markov Monte carlo method which variance reduction method for increasing the accuracy of Markov chain Monte Carlo algorithm for computing the dominant eigen pair of a matrix also we are concentrate on power management technique in terms of discrete power levels which allocate the power based on the event of every sensor node. By using this discrete power mapping method we can analyze all the high level parameter of the wireless sensor network especially for RSSI and TOA,also we derive the mathematical model for discrete level distance measurement and reduce the distance error for more than three anchors and redundant distant measurements to account for the error in each individual measurement. © 2012 IEEE.

We consider n-job, m-machine lot streaming problem in a flow shop with equal size sub lots where the objective is to minimize the makespan and total flow time. Lot streaming (Lot sizing) is a technique that splits a production lot consisting of identical items into sub lots to improve the performance of a multi stage production system by over lapping the sub lots on successive machines. There is a scope for efficient algorithms for scheduling problems in m-machine flow shop with lot streaming. In recent years, much attention is given to heuristics and search techniques. To solve this problem, we propose a Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) to evolve best sequence for makespan/total flow time criterion for m-machine flow shop involved with lot streaming and set up time. In this research, we propose the DEA and PSO algorithms for discrete lot streaming with equal sub lots. The proposed methods are tested and the performances were evaluated. The computational results show that the proposed algorithms are very competitive for the lot streaming flow shop scheduling problem. © 2011 Springer Science+Business Media, LLC.

Vasim Babu M.,Latha Mathavan Engineering College
Scientific World Journal | Year: 2015

A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed. In our model the discrete hidden Markov process plays a major role in analyzing the node location in heterogeneous media. In this energy consumption model we use both static and dynamic sensor nodes to monitor the optimized energy of all sensor nodes in which every sensor state can be considered as the dynamic Bayesian network. By using this method the power is assigned in terms of dynamic manner to each sensor over discrete time steps to control the graphical structure of our network. The simulation and experiment result shows that our proposed methods are better in terms of localization accuracy and possess minimum computational time over existing localization method. © 2015 M. Vasim Babu and A. V. Ramprasad.

Marimuthu S.,Latha Mathavan Engineering College
International Journal of Computational Intelligence Systems | Year: 2012

Lot streaming is a technique used to split the processing of lots into several sublots (transfer batches) to allow the overlapping of operations in a multistage manufacturing systems thereby shortening the production time (makespan). The objective of this paper is to minimize the makespan and total flow time of n-job, m-machine lot streaming problem in a flow shop with equal and variable size sublots and also to determine the optimal sublot size. In recent times researchers are concentrating and applying intelligent heuristics to solve flow shop problems with lot streaming. In this research, Firefly Algorithm (FA) and Artificial Immune System (AIS) algorithms are used to solve the problem. The results obtained by the proposed algorithms are also compared with the performance of other worked out traditional heuristics. The computational results shows that the identified algorithms are more efficient, effective and better than the algorithms already tested for this problem. © 2012 Copyright the authors.

Karthiyaini S.,Latha Mathavan Engineering College | Nagan S.,Thiagarajar College of Engineering
Indian Journal of Engineering and Materials Sciences | Year: 2014

An experimental investigation is carried out on the behaviour of axially loaded geopolymer concrete short columns that have been strengthened by wrapping with glass fiber reinforced polymer (GFRP). An experiment has been conducted to study the load-deflection behaviour and compressive strength of reinforced geopolymer concrete short circular columns of M30 and G30 grade concrete, under axial compression. Several aspects related to the use of GFRP to strengthen the geopolymer concrete short column are examined. The objectives of the hypothesis are: potential behaviour of geopolymer reinforced concrete short circular columns, evaluate the effects of GFRP layers under ultimate load and evaluate the ductility of short columns, analyse the stiffness and compressive strength indices for geopolymer short columns and analyse the mechanical behaviours of the glass fiber reinforced polymer (GFRP) while wrapping around the column. Totally six specimens are subjected to axial compression which includes control specimens. All the test specimens are loaded to identify the point of failure in axial compression and investigated subsequently in axial and transverse direction. The overall length of the column is 800 mm. The reinforcement ratio is kept constant throughout the study as 2.16%. The load carrying capacity and deflection pattern are arrived and compared against ordinary Portland cement reinforced column and also the results are compared against column wrapped with GFRP sheets. © 2014, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.

Sathees Kumar S.,Latha Mathavan Engineering College | Kanagaraj G.,Thiagarajar College of Engineering
Journal of Inorganic and Organometallic Polymers and Materials | Year: 2016

In this study, the influence of different weight percentages of alumina oxide (Al2O3) and silicon carbide (SiC) reinforcement on the mechanical properties of Polyamide (PA6) composite is investigated. Test specimens of pure PA6, 85 wt% PA6 + 10 wt% Al2O3 + 5 wt% SiC and 85 wt% PA6 +10 wt% SiC + 5 wt% Al2O3 are prepared using an injection molding machine. To investigate the mechanical behaviors tensile test, impact test, flexural test, and hardness test were conducted in accordance with ASTM standards. Experimental results indicated that the mechanical properties, such as tensile, impact, hardness, and flexural strength were considerably higher than the pure PA6. The tensile fracture morphology and the characterization of PA6 hybrid composites were observed by scanning electron microscope and Fourier transform infrared spectroscopic method. Further, thermogravimetric analysis confirms the thermal stability of PA6 hybrid composites. The reinforcing effects of Al2O3 and SiC on the mechanical properties of PA6 hybrid composites were compared and interpreted in this paper. Improved mechanical and thermal characteristics were observed by the addition of small amount of Al2O3 and SiC simultaneously reinforced with the pure PA6. © 2016, Springer Science+Business Media New York.

Kumar S.S.,Latha Mathavan Engineering College | Kanagaraj G.,Thiagarajar College of Engineering
International Journal of Polymer Analysis and Characterization | Year: 2016

In this article, the tensile strength, impact, and hardness properties of silicon carbide (SiC) reinforced with polyamide 6 (PA6) are described for the first time. The composites were fabricated by an injection molding method using the SiC with varying weight percentages. The tensile and hardness of SiC/PA6 composites showed a regular trend of increasing tensile strength, impact, and hardness properties with varying weight percentages until 10 wt% and impact strength of SiC/PA6 composites increased up to 5 wt% afterwards decreasing the mechanical properties of the composite with greater weight percentages. Scanning electron microscope (SEM) studies were carried out to evaluate the SiC/PA6 interactions. The results related to SiC/PA6 composites were compared with those obtained for pure PA6. 2016 Copyright © Taylor & Francis Group, LLC

This paper presents a heuristic algorithm PSO based simultaneous coordinated tuning of the SVC damping controller and power system stabilizer (PSS) in a two machine three bus power system. The coordinated tuning of PSS and SVC damping controller is converted to an optimization problem which is solved by particle swarm optimization (PSO) technique. The parameters like rotor angle deviation, settling time of disturbances post fault and transmission line active power are observed. The results obtained with PSO tuned SVC and PSS are compared with those of conventional PSS and Fuzzy controlled SVC and PSS. PSO tuned SVC and PSS gives better results. The effectiveness of each control method is verified using MATLAB. The results also show that the proposed coordinated controllers have increased power system oscillations damping capability. © 2016, Strojarski Facultet. All rights reserved.

Muthubalaji S.,Latha Mathavan Engineering College | Malathi V.,Anna University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Recently, to enhance the power system performance, integration of DGs at distribution level and the rearrangement of feeders in distribution network is done. This paper presents a harmony search algorithm approach for the reconfiguration of radial distribution system with distributed generation (DG). The DG placement problem and reconfiguration problem is formulated as a non-linear optimization problem with the objective of loss minimization and voltage profile improvement. Particle swarm optimization (PSO) algorithm is used to find the optimal location and sizing of multiple DGs. To find the optimal set of feeders to be opened, harmony search algorithm (HSA) is proposed. The proposed approaches are tested on IEEE 33 bus radial distribution system using MATLAB and the results are presented. © Springer International Publishing Switzerland 2015.

Achuthan A.,Latha Mathavan Engineering College | Ayyallu Madangopal V.,Sethu Institute of Technology
Iranian Journal of Public Health | Year: 2016

Background: We aimed to extract the histogram features for text analysis and,to classify the types of Bio Medical Waste (BMW) for garbage disposal and management. Methods: The given BMW was preprocessed by using the median filtering technique that efficiently reduced the noise in the image. After that,the histogram features of the filtered image were extracted with the help of proposed Modified Local Tetra Pattern (MLTrP) technique. Finally,the Relevance Vector Machine (RVM) was used to classify the BMW into human body parts,plastics,cotton and liquids. Results: The BMW image was collected from the garbage image dataset for analysis. The performance of the proposed BMW identification and classification system was evaluated in terms of sensitivity,specificity,classification rate and accuracy with the help of MATLAB. When compared to the existing techniques,the proposed techniques provided the better results. Conclusion: This work proposes a new texture analysis and classification technique for BMW management and disposal. It can be used in many real time applications such as hospital and healthcare management systems for proper BMW disposal. © 2016,Iranian Journal of Public Health. All rights reserved.

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