8 resultados para Political commitment

em Cochin University of Science


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even after 45 years of independence, it is seen that women are still left cum the periphery cnf the political process. Effective and meaningful participation of women in politics remains elusive for most of them. The representation of women in the state legislatures and in both Houses of Parliament has been very marginal. The percentage of women members in the LokSabha to the total membership of the body has never touched a two-digit figure so far. Within these 45 years, India could field only five women as Union Cabinet Ministers. In the case of the various states also, the position of women's participation in political activities is not very different. On the whole, it is seen that in independent India the role played by women in the electoral politics of the country or in the day to day activities of the different political parties is very" ineffective and insignificant. The present study was undertaken to make an assessment of women's involvement in the political process of Kerala since independence. This small state in the southernmost part of India claims ‘that it possesses certain. unique features in its social fabric that makes it different from the rest of the country as far as the place of women in society is concerned.

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Organisational commitment of various groups of professionals seems to be moderated by the differences of the groups as well as of the socialisation experiences Demographic variable ‘age’ and the semi-structural variable ‘experience’ cause a difference in the level of commitment. Similarly, the professional and organisational differences moderate the level of commitment. From the point of view of the organisations, the socialisation experiences if differ can be used as tool to process and enhance the level of commitment of professionals of various groups.The ‘Socialisation effect’ does not depend on the professional or demographic differences. Socialisation level is moderated only by the organisational specialities. It is purely an organisational variable. However, the difference in the socialisation levels as found among the professionals can cause a significant difference in the levels of organisational commitment of professionals

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In this study of workers of the two industrial units, it has been found that the women workers are more committed to the organization than the men workers. The organizational commitment has been a popular research topic among organizational sociologists, industrial psychologists and labour relations specialists. Much of the early research was directed on organizational commitment of men workers and studies on organizational commitment of women workers were less when compared to that of men workers. The results of this study is partially supported by the findings of Aranya and Jacobson (1975) who found that parental responsibility is linked with maintaining stable patterns of employment.

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Unit Commitment Problem (UCP) in power system refers to the problem of determining the on/ off status of generating units that minimize the operating cost during a given time horizon. Since various system and generation constraints are to be satisfied while finding the optimum schedule, UCP turns to be a constrained optimization problem in power system scheduling. Numerical solutions developed are limited for small systems and heuristic methodologies find difficulty in handling stochastic cost functions associated with practical systems. This paper models Unit Commitment as a multi stage decision making task and an efficient Reinforcement Learning solution is formulated considering minimum up time /down time constraints. The correctness and efficiency of the developed solutions are verified for standard test systems

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Unit commitment is an optimization task in electric power generation control sector. It involves scheduling the ON/OFF status of the generating units to meet the load demand with minimum generation cost satisfying the different constraints existing in the system. Numerical solutions developed are limited for small systems and heuristic methodologies find difficulty in handling stochastic cost functions associated with practical systems. This paper models Unit Commitment as a multi stage decision task and Reinforcement Learning solution is formulated through one efficient exploration strategy: Pursuit method. The correctness and efficiency of the developed solutions are verified for standard test systems

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Hindi

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HINDI