International Journal of Emerging Trends in Science & Technology

R. Senthilkumar ¹, R. Laxmishankar ¹, P. Prabhakaran ¹

Affiliations
1 Department of Mechanical Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamilnadu, IN

Abstract

Growing concern regarding energy resources and the environment has increased interest in the study of alternative sources of energy. Biodiesels offer a very promising alternative to diesel since they are renewable and have similar properties. Papaya seed oil has lower performance efficiency then diesel, but it has only lower exhaust emissions and low cost compare to diesel. The modifications in DI engine place an important role in the world for all fuels to increase the efficiency of engine. This paper presents the effects of modified piston on combustion and emission characteristics of a diesel engine fuelled with papaya seed oil. Combustion efficiency of CI Engine can be increased by designing combustion chamber. A good swirl promotes fast combustion to improve the efficiency. In order to achieve different swirl intensity to improve combustibility of combustible mixture in the cylinder, the piston was modified for papaya seed as alternate fuel.

Keywords

Papaya Oil, Piston Bowl, Combustion Efficiency, Air Swirl, Turbulence.

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J. Sathiyadharani ¹, R. Senthilkumar ², D. Rajkumar ²

Affiliations
1 NPR College of Engineering & Technology, IN
2 M. Kumarasamy College of Engineering, Karur, IN

Abstract

In recent technological world lot of devices are invented. Moreover the focused topic is on security system. Even with lot of security system like finger print based, eye-retina based, pin-code based systems are available, face recognition based security system has vital role of advanced technology. Feature based Face authentication requires feature extraction, feature selection and classification. Face recognition process performance is mainly depended on the selection of such extractor and classifier. Feature extraction process gives the feature points of the face in the image. From that important fiducially points are extracted using feature selection process. One has to reduce the feature points, in order to obtain the fast response of recognition. In this work we proposed the feature extraction process with Gabor filter where it is convenient as a biometric filter. Before going to verification process face localization is important one, then only we can reduce the unnecessary feature points. This is done by Neural network classifier. After the face image is obtained, we go for the authentication process with modified Euclidean distance of each fiducial points that made coefficient model for each person. Best optimized Euclidean distance coefficient of images are obtrained through PSO algorithm. Thus the coefficient of test and trained images are given to the classifier and the minimum mean difference profile made as the matching profile. By this work, we reduced the perception time at significant level compared to previous work and we made the recognition rate of the work as 91.81 percent with PIE database.

Keywords

Feature Extractor, PSO-Particle Swarm Optimization, Fiducial Points, Neural Network Classifiers.

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I. Gerald Chirstopher Raj ¹, K. Sundararaju ², R. Senthilkumar ²

Affiliations
1 Department of Electrical and Electronics Engineering, PSNA College of Engineering and Technology, Dindigul,Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN

Abstract

This paper presents multi stage voltage equalizer to the improvement control performance in PV system to eliminate partial shading issues using fuzzy logic technique. In order to avoid partial shading problem here single switch is used for voltage equalizing purpose then it applied to multi stacked SEPIC converter then get the maximum energy from panels. Here, fuzzy logic concept is used to turn and off for the particular SEPIC switch. Compare to conventional equalizer, these type of single switch topology has minimum size circuits and extract maximum power also. The proposed voltage equalizer can be found by stacking capacitor-inductor-diode (CLD) filter on SEPIC converter. Here, fuzzy logic algorithms are simulated using MATLAB fuzzy logic toolbox. In this paper the fuzzy logic based control circuit is developed to give equal power in all panels. A hardware prototype with three PV panel is implemented. The equalization efficiency is higher than 98% equalization compared with the conventional analog control algorithm. Here, fuzzy logic based multi stack voltage equalizer is simulated using MATLAB/SIMULINK software.

Keywords

Partial Shading, Photovoltaic System, Sepic, Multi Stack Voltage Equalizer, Fuzzy Logic.

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