Latha Mathavan Engineering College

Madurai, India

Latha Mathavan Engineering College

Madurai, India
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Vishalatchi K.,Latha Mathavan Engineering College | Suresh Kumar N.,Velammal College of Engineering and Technology
Proceedings of the International Conference on Electromagnetic Interference and Compatibility | Year: 2017

In this paper, we propose a novel structure for suppressing simultaneous switching noise in printed circuit board using Electromagnetic band gap structure (EBG). Ground bounce noise (GBN) suppression has become the major issue during the design of the mixed signal circuits. The proposed EBG structure is designed on the basis of periodic L Bridge cell, which is inserted by a small L with a slot where the port is located. L-Bridge EBG structure with slit is one of the best EBG to suppress GBN over UWB frequency range. The simulation using HFSS and measurement results for this structure cover a wide range from 300 MHz to 10 GHz. © 2016 IEEE.


Kumar S.S.,Thiagarajar College of Engineering | Kanagaraj G.,Latha Mathavan Engineering College
Journal of Polymer Engineering | Year: 2017

In this paper, the combined effect of different weight percentages of silicon carbide (SiC) and graphite (Gr) reinforcement on the mechanical properties of polyamide (PA6) composite is studied. Test specimens of pure PA6, 85 wt% PA6+10 wt% SiC+5 wt% Gr and 85 wt% PA6+5 wt% SiC+10 wt% Gr are prepared using an injection molding machine. The tensile, impact, hardness, morphology and thermal properties of the injection molded composites were investigated. The obtained results showed that mechanical properties, such as tensile and impact strength and modulus of the PA6 composites, were significantly higher than the pure PA6, and hybridization with silicon carbide and graphite further enhanced the performance properties, as well as the thermal resistance of the composites. The tensile fracture morphology and the characterization of PA6 polymer composites were observed by scanning electron microscope (SEM) and Fourier transform infrared spectroscopic methods. SEM observation of the fracture surfaces showed the fine dispersion of SiC and Gr for strong interfacial adhesion between fibers and matrix. The individual and combined reinforcing effects of silicon carbide and graphite on the mechanical properties of PA6 hybrid composites were compared and interpreted in this study. Improved mechanical properties were observed by the addition of small amount of SiC and Gr concurrently reinforced with the pure PA6. Finally, thermogravimetric analysis showed that the heat resistance of the composites tended to increase with increasing silicon carbide and graphite content simultaneously. © 2017 Walter de Gruyter GmbH, Berlin/Boston.


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.


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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