Informatics Publishing Limited

S. Archana ¹, K. Elangovan ¹

Affiliations
1 School of Computer Science and Engineering, Bharathidasan University, Trichy, IN

Abstract

Breast cancer is one of the common diseases for women. Cancer is an abnormal growth of cells that can be either precancer or dangerous stages. This research to detect the breast cancer using classification techniques The first stage is preprocessing on the data is done from the Wisconsin dataset from UCI machine learning .In this experiment compare three classification techniques and comparison results show that Naïve bayes has higher prediction accuracy i.e. 97.4% than SMO and K star methods. The next stage is reducing the dimension of breast cancer database from ten to nine by using and sorting the attributes by using feature selection method is used to improve the accuracy. After applied feature selection method, the results show that that Naive bayes has higher prediction accuracy i.e. 97.80% than SMO and K star methods. All this experiment is done by WEKA software.

Keywords

WEKA, Data Mining, Breast Cancer, Classification Techniques.

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G. Maheswaran ¹, K. Elangovan ²

Affiliations
1 VSA School of Engineering and Management, NH-47 Main Road, Uthamasolapuram, Salem 636 010, Tamil Nadu, IN
2 Department of Civil Engineering, P.S.G. College of Technology, Coimbatore-641 004, Tamil Nadu, IN

Abstract

Groundwater is considered a vital natural resource due to its significant use for drinking, irrigation and industrial purposes. Groundwater has been a big variant in quality and quantity with respect to time and space. So the quality of groundwater has been assessed in Salem district. A detailed study was made in the study area for the quality of groundwater for drinking in premonsoon and postmonsoon based on the Water Quality Index (WQI). Groundwater samples were collected in sixty six locations in both premonsoon and postmonsoon in the year 2007. Various physicochemical tests were carried out and WQI was calculated based on pH, turbidity, total dissolved solids, total alkalinity, total hardness, nitrate, chloride, calcium, magnesium, iron and fluoride. The comparison between the premonsoon and postmonsoon reveals that in premonsoon season 56.06 %, and in postmonsoon 65.15% of the water samples were fit for drinking. The groundwater quality was found to be unfit for drinking in 22.72% of the samples in premonsoon and 18.18% of the samples in postmonsoon.

Keywords

Groundwater Quality, Water Quality Index, Salem District.

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N. Vetrivel ¹, K. Elangovan ¹

Affiliations
1 Department of Civil Engineering, PSG College of Technology, Coimbatore - 641004, Tamil Nadu, IN

Abstract

Objective: To evaluate the ability of prediction performance of ANFIS (Adaptive Neuro Fuzzy Inference System) model on groundwater level fluctuation in Lower Bhavani River Basin (LBRB). Method: To improve the accuracy of prediction of ANFIS model, WT (Wavelet Transform) and CWTFT (Continuous Wavelet Fast Fourier Transform) are performed as preprocessing techniques. Model development is carried out through three different input parameters (duration, groundwater recharge and groundwater discharge) and one output parameter (groundwater fluctuation) for the period of 2009-2015 on monthly stress basis. Findings: Based on the comparative prediction by the models CWTFT-ANFIS and WTANFIS over conventional ANFIS model through calibration and validation process on different reaches of the study area, optimum model is identified. Statistical indices are performed to measure the best fitting and trend identification for the each prediction.

Keywords

ANFIS, CWTFT, Fluctuation, Groundwater, Lower Bhavani River Basin, Wavelet.

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K. Elangovan ¹, V. E. Annamalai ¹, A. K. Lakshminarayanan ¹

Affiliations
1 Department of Mechanical Engineering, SSN College of Engineering, Kalavakkam, Chennai, IN

Abstract

Low alloy low carbon steels are extensively used for automotive applications mainly due to their good impact resistance, specific strength and formability. Electrical Resistance Spot Welding (ERSW) is currently used as a method of joining sheet metal together in automotive industries. Generally materials of similar thickness are blanked, preformed and then welded together to make parts like automobile door, bodies and number of similar parts. ERSW process is relatively faster, but it involves large amounts of current to make joints and cooling equipment to keep the electrode in normal working temperature. Friction stir spot welding (FSSW) is a relatively new type of welding process, which is a derivative of friction stir welding. In this process, a rotating tool is plunged in to the material under high force to create a bond. Joints are made by FSSW process and the macrostructure, microstructure and lap shear tensile strength of these joints are characterized. The metal flow during FSSW process is investigated on samples to gain better understanding of welding mechanisms. The results of the lap shear tensile test indicated that the combination of 900 rpm, 0.18mm plunge depth and 20s dwell time yielded a maximum lap shear tensile strength of 5.9 KN.

Keywords

Friction Stir Spot Welding, Automotive Steel, Lap Shear Tensile Test.

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K. Elangovan ¹, S. Vijayaragavan ¹, S. Rohit ¹, F. Mohammed Irfaan ¹

Affiliations
1 Dept. of Mechanical Engg, SSN College of Engg, Kalavakkam – 603 110 Chennai, Tamil Nadu, IN

Abstract

Friction Stir Processing is an innovative approach incepted to modify the surface and mechanical properties of materials .This technique is evolved from one of the most prominent metal joining technique, Friction Stir Welding. AA6061 is an Aluminium alloy that has good strength with moderate ductility. This investigation is concerned with the correlation of tensile properties of friction stir processed AA 6061 obtained from a miniature testing technique popularized as the Shear Punch Test (ShP) and conventional testing methods. In addition this investigation encompasses the heat generation and micro structural modifications in friction stir processed AA6061 wrought Aluminium alloy using three different pin profiles.

Keywords

Friction Stir Processing, Surface Modification, AA6061 Alloy, Grain Size, Tensile Properties, Heat Input Rate, Shear Punch Test.

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K. Elangovan ¹, S. Subashini ¹

Affiliations
1 VIT University, Chennai - 632014, Tamil Nadu, IN

Abstract

Background/Objectives: This paper considers combatting the jamming and selfish attacks in Cognitive Radio (CR) networks operating at the white (unused) and grey (underused) spaces in the RF spectrum. CR facilitates effective utilization of RF spectrum resources but still vulnerable to various network attacks. Methods/Statistical Analysis: This study considered the jamming and selfish type of attack detection and to defend against them because of its severity. An Intrusion Detection System (IDS) is formed to combat the against jamming and selfish type of attacks in CR. Findings: In this system cumulative-sum algorithm is used, which incorpates the control centre information over the channel. The cumulative-sum based algorithm shows improved performance in provisioning better packet delivery ratio, throughput and minimum energy and packet drop. Further, this algorithms works better for more number of Secondary Users (SU), and the Unlicensed Users. Applications/Improvements: This work can be enhanced further by simulating under various network attacks and in the presence of numerous SU.

Keywords

Cognitive Radio, Jamming Attacks, Network Security,Selfish Attacks, Secure Spectrum Sensing

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A. Prashanth ¹, K. Elangovan ², S. A. Rodriguez Arthurs ²

Affiliations
1 Mechanical Engineering, CiTech, Bangalore, IN
2 CiTech, Bangalore, IN

Abstract

Stresses are the prime source for the fatigue life diminution. In order to increase the fatigue life of the welded module, the residual stresses has to be minimized and this can be primed by choosing appropriate material in fabrication of the part and by adopting suitable welding process. There is another possibility to reduce the induced residual stress and thereby increasing the component life under fatigue loading, is by the application of post weld treatments. In the class of mechanical post weld treatments, Ultrasonic Impact Treatment is relatively new post weld treatment method. Ultrasonic Impact Treatment (UIT) imparts the energy generated from high frequency impulses into treated surface through specially designed strikers leading to the plastic deformation of surface layers. The technique is also recommended due to its high process stability and low operating costs. Modest initial loads are used in UIT to produce deep penetration work hardening of minor surface roughness. This technique accordingly opens up applications that are impossible to achieve using conventional work hardening technique.

Keywords

Ultrasonic Impact Treatment (UIT), Welding, Fatigue, Residual Stress.

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