iosr-JCE   Volume-18 ~ Issue-6 ~ Nov-Dec 2016

Abstract: The paper presents an overview of the potential of educational computer games for enhancing teaching and learning activities. When applied to educational contexts, educational computer games can enhance students' intrinsic motivation to learn, encourage learning by doing, encourage meaningful learning and provide risk-free environments which enable learners to explore and experiment

Keyword: Educational games, learning, teaching

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[3] Cruz-Cunha, M. Computer Games as Educational and Management Tools: Uses and Approaches, IGI Global, p. 358, 2011.
[4] Whitton, N. Learning with Digital Games A Practical Guide to Engaging Students in Higher Education, Taylor and Francis, p. 231, 2010.
[5] http://www-01.ibm.com/software/solutions/soa/innov8/index.html, Retrieved January, 2013.

Abstract: Now a days cloud computing is one of the intensively growing technology.Cloud computing is storing and accessingbased program over the internet without use of your computer's hard drive. Proposed system mainly focuses on security of private confidential data stored on cloud. Now a day's use of cloud increasing rapidly.In order to manage security of private/confidential data we need an effective system. In proposed work we provide system which continuously interact with the content owner of cloud and gives continuous updates to content owner.Existing system also audits data which result in time consuming process.Instead of checking on whole data whether the updates are going on or not in system, proposed system divides the whole data in blocks and system checks that particular updated block where changes occurs. Hence proposed systemprovides reliability and enhanced security.

[1]. "Fine Grained Updates in Cloud Using Third Party Auditing" M Paventhan, C Murugavel, S Rajadurai
[2]. "Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates"
[3]. "Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates".Chang Liu, Jinjun Chen, Senior Member, IEEE, Laurence T. Yang, Member, IEEE, Xuyun Zhang, Chi Yang, Rajiv Ranjan, and Ramamohanarao
[4]. " Public Auditing of Dynamic Big Data Storage with Efficient High Memory Utilization and ECC Algorithm"G.Janani1, C.Kavitha2 P.G Scholar, Department of CSE, Sri Shanmugha College of Engineering and Technology, Pullipalayam, Salem (Dt), India1 Assistant Professor, Department of CSE, Sri Shanmugha College of Engineering and Technology, Pullipalayam, Salem (Dt), India2
[5]. "Improving Flexibility, Scalability and Fine-Grained Access Control using Hierarchical Attribute Set Based Encryption (HASBE) and Security in Cloud Computing". Prashant A. Kadam*, Dinesh M. Yadav Department of Computer Engineering & Savitribai Phule Pune University, Maharashtra, India.

Abstract: DNA Multiple sequence alignment is common bioinformatics application that determines the similarity between a new sequence with other exist sequences. Needleman-Wunsch algorithm is the most famous algorithm for DNA global alignment. Unfortunately, it is based on sequential computing so it has a problem of being slow. Recently purposed algorithm (YM-Algorithm) aim to overcome this sequential computing limitation. This paper presents a different implementation approaches for the YM algorithm in a real environment. Finally, the paper study the experimental results of applying these implementations approached in a realistic parallel environment.

Keyword: DNA Computing, Computational biology, Distributed computing, Grid computing, Bioinformatics

[1]. L. V. Vinh, T. V. L. Lang, N. Thi Thu Du and V. H. B. Chau, "Multiple Sequence Alignment on the Grid Computing," International Journal of Computer Science and Telecommunications, vol. 3, no. 7, pp. 46-51, 2012.
[2]. M. Assal, A. Said, D. Mohamed and N. Osama, "A Study to the effect of task granulation for the DNA multiple sequence alignment on Grid Computing," IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS),, vol. 5, no. 3, 2015.
[3]. L. Jiang and W. T., "On the complexity of multiple sequence alignment," Journal of Computational Biology, vol. 1, no. 4, p. 337–348, 1994.
[4]. S. S., L. Y. and Q. Yang, "A polynomial time solvable formulation of multiple sequence alignment," Journal of Computational Biology, vol. 13, no. 2, p. 309–319, 2006.
[5]. S. Altschul, W. Gish, W. Miller, E. W. Myers and D. J. Lipman, "Basic Local Alignment Search Tool," Journal of Molecular Biology, vol. 215, no. 3, pp. 403-410, 1990.