O. P. Rishi

Cloud based e-Voting: One Step Ahead for Good Governance in India

This paper presents an effective secure and fear free e-voting model based on cloud computing. On implementation it will facilitate those voters who are willing but not in to the position to cast their votes owing to their absence from head quarter for reasons beyond their control. In this paper eVoting model has been integrated with AADHAR CARD or Unique Identification (UID) card data base using cloud. By integrating e-Voting model with cloud infrastructure and AADHAR CARD database, percentage of polling would increase and can provide authentic electoral voting mechanism to satisfy the need of the voters. Cloud computing would also accelerates the e-Voting system because of the new architecture and secure technology. It would enable users and developers to utilize computing resources that are virtualized and serve the needs of the voters via the internet.

Astrological prediction for profession using classification techniques of artificial intelligence

Astrology has started around 4000 years back and has significantly developed over a period of time. Till date no unified rules or standards for astrological prediction exist in the world. Astrologers concentrate on providing quality services to persons rather than defining universal rules and standards for astrological prediction. Advances in artificial intelligence resulted in large number of applications for analysis and prediction. In these applications computer learn from unknown, large, noisy or complex data sets and perform prediction and classification of data. In this paper we are trying to find universal rules and validity of astrology using various scientific methods. In this paper we are going to predict profession of person using ZeroR, Simple Cart and Decision Table classification algorithm. The data set for learning classification consisted of 24 records of Singer, 24 records of Player and 10 records of Scientist. Weka tool[1] available under General public license is use to perform analysis and prediction task.

A QoS-based service discovery using meta-heuristic optimization in federated cloud

In a cloud based service environment, finding the user-centric optimal service composition has become increasingly necessity. A consumer needs the service composition which meets the quality requirements in a cost effective manner. The service level agreement (SLA) signed by both, the consumer and the service provider, includes Quality of Service (QoS) requirements and penalties in case of violation. The violation of a quality requirement for a service composition needs a suitable service substitution which incurs a considerable adaptation cost. Therefore, an efficient tool is needed to address the user-specific service requirement in a cost effective manner. The work proposed a heuristic based approaches using hybrid Genetic and Tabu algorithm to determine the optimal QoS based service composition with maximum utility value and minimum adaptation cost. The blending of a basic Genetic algorithm and Tabu search has been formulated as Memetic approach for service utility prediction and ranking the service compositions. The work also simulates the basic GA and Memetic approach to compare the performance of the two methods in terms of utility, violation cost and adaptation cost of a service composition.

A Study on e-Marketing and e-Commerce for Tourism Development in Hadoti Region of Rajasthan

Travel, Tourism and Hospitality industry is growing day by day. It is providing immense opportunities of growth and development to a destination, region, state and Nation. The rapid changes in Information Communication Technologies generated the demand of e-marketing, e-commerce and content marketing in travel, tourism and hospitality industry. No doubts that ICT developments are impacting the demand and growth of tourism and its products phenomenally on the globe. On the other hand the region like Hadoti of Rajasthan state which is highly rich in tourism is lacking behind in the usages of e-commerce-marketing and content marketing in promotion of the attractions and other itineraries. The paper tries to explore the benefits of using e-commerce-marketing and e-business model for the destination image building and promotion of tourism of the region. The paper showcasing the benefits of shifting from the traditional promotional techniques to adapt e-commerce tools and techniques for travel, tourism and hospitality industry of Hadoti region.

Knowledge Extraction Through Page Rank Using Web-Mining Techniques for E-Business: A Review

Internet plays a vital role for doing the business. It provides platform for creating huge number of customers for ease of business. E-business organizations are growing rapidly and doubly in every minute; World Wide Web (WWW) provides huge information for the Internet users. The accesses of user’s behavior are recorded in web logs. This information seems to be very helpful in an E-business environment for analysis and decision making. Mining of web data come across many new challenges with enlarged amount of information on data stored in web logs. The search engines play key role for retrieving the relevant information from huge information. Nowadays, the well-known search engines, like Google, MSN, Yahoo, etc. have provided the users with good search results worked on special search strategies. In web search services the web page ranker component plays the main factor of the Google. This paper discusses the new challenges faced by web mining techniques, ranking of web Knowledge Extraction Through Page Rank Using Web-Mining Techniques for E-Business: A Review Mahesh Kumar Singh University of Kota, India Om Prakash Rishi University of Kota, India Anukrati Sharma University of Kota, India Zaved Akhtar Vishveshwarya Institute of Engineering and Technology, India Knowledge Extraction Through Page Rank Using Web-Mining Techniques

Predictive Approach of CBR in Artificial Intelligence: A Case of Astrological Predictions About the Status of Person

Astrological Prediction possesses the capability to create a great deal of interest in persons to know about their future. Most of the persons around the world believe in astrology hence it is necessary to establish validity of astrology. In astrology, prediction about a person’s life is done based on the position of the stars in the horoscope at the time of the birth of the individual but these rules are different in different astrological prediction systems and hence lack a central design. This paper talks about various experiments performed for the purpose of identifying the profession of the person. The methodology used for this purpose is case base reasoning technique along with various classification methods such as Simple Cart, Decision Stump and Decision Table. Information of persons was collected to perform the research. Data for persons of profession Singer, Player and Doctors were collected. The information collected for this purpose were date of birth, place of birth and time of birth along with major events took place in person’s life. The results generated by the research were satisfying and motivating.

Predictive Approach of Case Base Reasoning in Artificial Intelligence: In Case of Astrological Predictions About Famous Personalities

Astrological Predictions have always been able to generate a lot of curiosity in human beings to know about their future. This belief of a large percentage of population in astrology needs to be verified by checking the scientific validity of astrology. This paper discuss about the experiments related to astrological predictions and try to find the scientific validity and rules for astrological prediction using Case Base Reasoning method. Various methods and classification techniques of Artificial Intelligence used for this purpose are Simple Cart, Logistic, Naïve Bayes, Decision Stump, Decision Table and DTNB. Experiments are performed on astrological charts to identify whether the person will become internationally famous or not. Data of 240 persons were collected to perform these experiments. The data collected were time of birth, place of birth, and date of birth along with the status of the person that he is well known in the world or not. Out of 240 persons, 120 persons were internationally famous persons and remaining persons were not internationally famous. Results generated by the research were impressive and motivating.