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Sriram, P.
- Design Optimization of Robot Gripper Using Intelligent Techniques (GA & DE)
Abstract Views :148 |
PDF Views:0
Authors
Affiliations
1 Dept. of Mechatronics Engg., Kumaraguru College of Technology, Coimbatore, Tamil Nadu, IN
2 J. J. College of Engg. and Technology, Trichy, Tamil Nadu, IN
3 Dept, of Production Engg., J. J. College of Engg. and Technology, Trichy, Tamil Nadu, IN
1 Dept. of Mechatronics Engg., Kumaraguru College of Technology, Coimbatore, Tamil Nadu, IN
2 J. J. College of Engg. and Technology, Trichy, Tamil Nadu, IN
3 Dept, of Production Engg., J. J. College of Engg. and Technology, Trichy, Tamil Nadu, IN
Source
Manufacturing Technology Today, Vol 6, No 11 (2007), Pagination: 24-29Abstract
This paper concerns with the use of intelligent techniques such as Genetic Algorithm (GA) and Differential Evolution (DE) to find optimum geometrical dimensions of a robot gripper. The problem is finding a combined objective function, which has five objectives, seven constraints and five variables. The objective functions are difference between maximum and minimum griping forces, force transmission ratio between gripper actuator and gripper ends, shift transmission ratio between gripper actuator and gripper ends, length of all elements of gripper and efficiency of gripper mechanism. The problem is dealt with three cases. A very original, new optimization model is derived and used. Also, a comprehensive user-friendly general-purpose software package has been developed to obtain the optimal parameters using the proposed DE algorithm.
- Mega Private Universities in India:Prospects and Promise for World-Class Performance
Abstract Views :190 |
PDF Views:73
Authors
Gangan Prathap
1,
P. Sriram
2
Affiliations
1 Vidya Academy of Science and Technology, Thrissur 680 501, IN
2 Indian Institute of Technology Madras, Chennai 600 036, IN
1 Vidya Academy of Science and Technology, Thrissur 680 501, IN
2 Indian Institute of Technology Madras, Chennai 600 036, IN
Source
Current Science, Vol 113, No 11 (2017), Pagination: 2165-2167Abstract
Several higher educational institutions are now emerging in the private sector, which are much larger than the traditional high performing Government funded institutions like the Indian Institute of Science (IISc) and the IITs. We identify seven such mega institutions and use the bibliometric and financial data from NIRF 2017 to see how they compare with IISc when both research excellence and socio-economic performance are taken into account. Apart from other legacy and perception factors that attract the best faculty to premier institutions, the capital expenditure per faculty per year must be increased by 5 to 50 times as the case may be, before these universities can become attractive destinations for the best and brightest of aspiring faculty.Keywords
Bibliometrics, Comparative Research Evaluation, Mega Universities, National Institutional Ranking Framework.Full Text
References
- Savithri, S. and Prathap, G., Indian and Chinese higher education institutions compared using an end-to-end evaluation. Curr. Sci., 2015, 108(10), 1922–1926.
- Abramo, G. and D’Angelo, C. A., How do you define and measure research productivity? Scientometrics, 2014, 101(2), 1129–1144.
- Abramo, G. and D’Angelo, C. A., A farewell to the MNCS and like size-independent indicators. J. Inf., 2016; http://dx.doi.org/10.1016/j.joi.2016.04.006.
- Prathap, G., The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment. Scientometrics, 2011, 87(3), 515–524.