PurposeThe purpose of this paper is to study the evolution of Freedom of Information/Right to Information from an international perspective and analyse it as an indispensable tool for good governance through the use of information and communication technologies (ICT) with special reference to India.Design/methodology/approachThis study examines the worldwide occurrence of Right to Information with reference to International Covenants, the genesis of RTI Act in India and the use of ICT in India as a tool for empowering the citizen's.FindingsThe study demonstrates that RTI has far reaching impact and it clearly contributes to a better and informed citizenry however the use of ICT in India can further facilitate the access of such records.Research limitations/implicationsThe study focuses on the genesis of RTI from an international perspective but the use of ICT for further facilitating the use of RTI is limited to Indian context.Practical implicationsThe paper will outline a detailed analysis on the present usage of ICT and the initiatives taken for facilitating information dissemination and further provide suggestions for the benefit of civil society towards good governance.Originality/valueThe study is the first to address the issue of the implementation of right to information act through the use of ICT and also suggests methodology for its further improvement. Also, the study comprehends the genesis of RTI both from the international as well as Indian perspective.
This paper mainly deals with overview of artificial intelligence and Expert System. Artificial Intelligence primarily responsible for developing computer programs which are able to read, speak, and understand as like man. Other hand Expert System refers to expert System needed for advance decision and intelligence robotics application. Expert System can communicate with user in their natural language and processes the capacity to catch to the individual desire. Here in this paper role of Artificial Intelligence and Expert System elaborate briefly, where as application of these computer techniques get most priority. We also discuss the need of Artificial Intelligence and emerging Expert System in the working and academic field of information Science.
Heart disease is a deadly disease in human life. The mortality rate from any disease is the highest in the world. Therefore, before reaching the final stage of this heart disease, all precautionary measures must be taken. For this reason without the help of any kind of traditional methods, if we can scientifically diagnose heart disease at an early stage through various decision support systems, then surely death rate of this disease will decrease in the whole world. Many researchers investigate the diagnosis of heart disease by creating various intelligent medical decision support systems. Artificial neural network concepts represent the highest predictive accuracy over medical data compared to other decision support systems. In this paper we propose a better prediction method for the existence of heart disease through the scaled conjugate gradient back propagation of artificial neural networks using K-fold cross validation. For cardiac datasets, the University of California Irvine (UCI) Machine Learning Repository and IEEE data port have been used. For Cleveland processed heart dataset, the proposed system uses 13 input attributes and provides minimum 63.3803% & maximum 100% accurate results similarly for Cleveland Hungarian Statlog heart dataset the proposed system uses 11 input attributes and provides minimum 88.4754% & maximum 100% accurate results by estimating the presence and absence of heart disease during testing.
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