Abstract Virtual Reality as a technology has tremendous potential for application in many fields which help to find, create and innovate. We have identified sports and human health management as one potential area of application. Virtual reality enables the participants in sports to know the techniques in sports and help to update in the domain. This paper presents the current scenario... Virtual Reality as a technology has tremendous potential for application in many fields which help to find, create and innovate. We have identified sports and human health management as one potential area of application. Virtual reality enables the participants in sports to know the techniques in sports and help to update in the domain. This paper presents the current scenario in the application of virtual reality and reviews the developments. Further this work has presented the simulation exercises in the virtual reality. Read More Read Less

Abstract Currently there are many technological developments in the design and construction of sports grounds. One such growth is the use of computational intelligence for design and construction. From the venue selection till the completion, the use of intelligent techniques is visible and the system can able to help the information exchange. The computer control system helps for the design and... Currently there are many technological developments in the design and construction of sports grounds. One such growth is the use of computational intelligence for design and construction. From the venue selection till the completion, the use of intelligent techniques is visible and the system can able to help the information exchange. The computer control system helps for the design and placement of equipment. The present work will study the information resource, equipment use, energy saving system and the energy efficient system formulation. Read More Read Less

Abstract Research computer network security problem. There were nonlinear relations among the evaluation indexes, and it was difficult for an accurate mathematical model to describe the nonlinear relationship. In order to improve the evaluation accuracy of computer network security, this study put forward a combination model to evaluate the computer network security. The combination model used particle swarm optimization (PSO) to... Research computer network security problem. There were nonlinear relations among the evaluation indexes, and it was difficult for an accurate mathematical model to describe the nonlinear relationship. In order to improve the evaluation accuracy of computer network security, this study put forward a combination model to evaluate the computer network security. The combination model used particle swarm optimization (PSO) to optimize the parameters of BP neural network, speed up the BP neural network’s convergence speed, and enhanced its global optimization ability, which effectively improved the accuracy of the evaluation model. Simulation results showed that compared with traditional BP neural network model, the combined model’s learning ability was faster and global search ability was stronger, which effectively improved the evaluation accuracy of computer network security. Read More Read Less

Abstract Preservation of privacy is a significant aspect of data mining and as the secrecy of sensitive information must be maintained while sharing the data among different untrusted parties. There are much application is suffering from vulnerable, data leakage, data misuse, and sensitive data disclosure issues. To protect the privacy of sensitive data without losing the usability of data, various techniques... Preservation of privacy is a significant aspect of data mining and as the secrecy of sensitive information must be maintained while sharing the data among different untrusted parties. There are much application is suffering from vulnerable, data leakage, data misuse, and sensitive data disclosure issues. To protect the privacy of sensitive data without losing the usability of data, various techniques have been used in privacy-preserving data mining (PPDM). However, a system is unable to maintain the privacy during online services. Some of the approaches are available to maintain the tight privacy, but they fail to minimize the execution time and error rate. The main objective of the article is to contribute and retrieve the data with minimal classification error and execution time with enhanced privacy. To overcome the issues, the paper introduces the Secure Data Contribution Retrieval algorithm to fulfill the current issues. Proposed algorithms define a privacy policy and arrange the security based on requirements. This design applies the privacy based on the compatibility of applications. This approach computes the union of private multidatasets that each of the interacting with attributes and actors and another that tests the inclusion of an element held by one actor in a subset of another. It displays the table with hidden attributes in multiple categories wise for a user. This approach is capable of satisfying the accuracy constraints for multiple datasets. It also considers the efficient data extraction with a good ranking of attributes in tables. Based on experimental result proposed approach performs well regarding success rate, error rate and system execution time compare than existing methods. Read More Read Less