Informatics Publishing Limited

M. S. Kadam ¹, Dharmendra Singh ¹

Affiliations
1 JSPM’S AIOCA, Hadapsar, Pune, IN

Abstract

In accordance to Green Computing of San Murugesan the Designing, manufacturing, using, and disposing of computers, servers, and associated subsystems, efficiently and effectively with minimal or no impact on the environment pollution is the need of the hour. The IT&Computer Technology like Automobile Industry has created serious environmental problems such as CO2 emission and Global Warming Issues. The use of any machine with minimum energy and maximum efficiency to protect environmental balance while we make our life comfortable and productive is the need. This paper is a step in achieving green computing by suggesting means and ways to achieve the same.

Keywords

Green IT, Recyclability, Biodegradability, Ecological Footprint, Virtualization, Resource Allocation

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M. S. Kadam ¹, R. D. Pandya ², B. T. Kolgane ³, D. T. Khogare ⁴

Affiliations
1 Department of Extension Education, College of Agriculture, Rajmachi, Satara (M.S.), IN
2 Department of Extension Education, N.M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat), IN
3 Department of Extension Eduacation, College of Agriculture, Kolhapur (M.S.), IN
4 Krishi Vigyan Kendra, Sangli (M.S.), IN

Abstract

The expert system can play a major role in the dissemination and adoption of useful knowledge for agriculture. Some constraints perceived by experts working at KVKs, create problem for transfer of technology. Hence, the study was carried out with an objective to know the constraints faced by the experts working at KVKs' and to seek the suggestions to overcome the constraints. The study was made the Department of Extension Education, Navsari Agricultural University, Navsari (Gujarat) during the year 2009-2010. Pre-structured questionnaire was used for data collection. It was observed that non-availability of vehicle for on campus training (67.30 per cent) was the main constraint perceived by the expert working at KVKs' and followed by lack of co-operation from colleagues (64.42 per cent), multifarious duty (59.63 per cent), and non-availability of need based and location specific research (55.77 per cent). The suggestions to overcome the constraints mentioned by the experts were availability of vehicle for on and off campus for training (63.46 per cent) organization of multifarious activities based on need and time (58.63 per cent) and recommendations on location specific conditions (57.79 per cent).

Keywords

Constraints, Experts and KVKs'.

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M. S. Kadam ¹, S. K. Basu ²

Affiliations
1 Production Engg. Dept., Jawaharlal Nehru Engg. College, Aurangabad-431006, IN
2 Production Engg. Dept., College of Engg., Pune-411005, IN

Abstract

This paper illustrates the role of Binary Coded Genetic Algorithm to optimize the machining parameters viz:Duty Factor, Peak Current and Wire Speed in Wire-Cut Electrical Discharge Machining Process to maximize the Cutting Speed. In present work, Single Pass Cutting of High Chromium High Carbon Die Steel material has been considered for the response parameters Cutting Speed and Surface Roughness. Determination of the generalized relationship of Cutting Speed and Surface Roughness dependant on the variable machining parameters of WEDM using adequate mathematical model based on Factorial Regression and ANOVA is done. Regression coefficient while formulating the relationship for Surface Roughness R_a and Cutting Speed CS are determined for three cases (blocks) taking Stratified Random Sampling. Parameters have also been analyzed for Sensitivity.

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