Volume 6 | Issue 1 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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In the recent years, women play an important role in entrepreneurial activity. It is witnessed that the increasing in the numbers of women starting business has not only seen in developed countries, but have also been seen in many other developing countries including India. In the last 40 years, there has been increasing number of women entrepreneurs in developing countries. Hence the present study aims to know the motivational factors influencing on women entrepreneurs to take up entrepreneurial activity in Mysore District. The data were collected from 74 women entrepreneurs. The result of the study says that, the very important factor influencing the women entrepreneurs in Mysore district to start their business is their self-accomplishment. They are motivated by the factors like more autonomy and independence, economic independence, control over doing new things, and inspired to become successful entrepreneurs. These factors are influencing them more to start a business.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Entrepreneurship, motivation, self-accomplishment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Environmental pollution, Plastic, aquatic life, human, BPA, toxic

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Service quality, Student satisfaction, TTD Higher educational institutions

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Agriculture & allied sector, Public Investment, Farmers Income.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT The scheduled tribes are the segregated and isolated communities and are concentrated in the states of Orrisa, Bihar, Madhya Pradesh, Andhra Pradesh Maharashtra, Gujarat and Rajasthan were they constitute about 80 per cent of the scheduled tribe population of India. In some of the North Eastern states also they from more than 80 per cent of their population, and mostly live on the hillsides and forests. They are isolated from rest of the society to poor transportation and communication facilities and have remained as educationally, culturally, economically and socially disadvantaged sections. Tribes have been considered to be lowest in the social hierarchy. Being mostly illiterate, they have been subjected to all kinds of exploitation- social, economic and political. The percentage of population having monthly per capita expenditure below the average MPCE of the state is, in scheduled tribes the difference is more than 20 points for scheduled tribes of Andhra Pradesh and 14 points for Scheduled tribes in India. This also indicates more persons are below poverty line and are unable to have a minimum level of suggested expenditure for their survival, making them vulnerable for the vagaries of the nature. Their health status is very discouraging. Low agricultural production and lack of an appropriate food distribution system are the reasons for low levels of the nutritional status. In addition to the low agricultural production, the nutritional status of the population is to be viewed as the problem of poor quality of food intake due to low literacy rate and lack of awareness. Shortage of food and nutrient inadequacies leads to ill-health of the tribal people. This study deals with the health status of the sample households based on disease prevalence rate, distribution of infected persons by sex and age groups etc. in Vizainagaram district of Andhra Pradesh.

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Creative Commons Attribution 4.0 and The Open Definition

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aadivasi, ill-health, malnutrition, MPCE, poverty

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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: Cloud computing, deployment, computing resources, web-based system and internet

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Ekalavya model residential schools, school management Committee, attitude

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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A.P.J. Abdul Kalam, educational thoughts, scientific thoughts

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Security system are basically part of security issues related to our work environment, it is mandatory. Some of the well-known application areas of face recognition are Biometric, Information security, Law Enforcement and Surveillance, Smart Cards, Access Control. Support Vector Machine (SVM) is a classification and regression prediction tool that uses machine learning theory to maximize predictive accuracy while automatically avoiding over-fit to the data. Support Vector machines can be defined as systems which use hypothesis space of a linear functions in a high dimensional feature space, trained with a learning algorithm from optimization theory that implements a learning bias derived from statistical learning theory. It is also being used for many applications, such as hand writing analysis, face analysis and so forth, especially for pattern classification and regression based applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face recognition, Principal Components Analysis (PCA), Support Vector Machine (SVM), Gabor features, Linear Discriminant Analysis, Classification, Regression.

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Creative Commons Attribution 4.0 and The Open Definition