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A technique Cloud computing is for registering which is planned from the improvement of advances for parallel computing, cloud computing, and service-oriented architecture. What`s more, its point is to give correspondence and capacity assets in an ensured situation to convey the services as quick as could be allowed, which is given through Internet stage. The given Services in e-government are accessible through Internet, along these lines cloud computing can be utilized as a part of the usage of Egovernmence design and furnish better service with the most reduced cost utilizing its advantages. In this examination, the cloud computing in e-government has been clarified and it`s been endeavored to distinguish the difficulties and advantages of the cloud to show signs of improvement condition to actualize new innovation.

Cloud computing, E-Government, Challenges, Benefits, Internet, parallel computing

[1]. A. tripathi, B. Parihar. (2011). “E-governance challenges and cloud benefit”. 2011 IEEE International Conference on Computer Science and Automation Engineering, 351-354.
[2]. Kuldeep Vats, Shravan Sharma, Amit Rathee. (2012). “A Review of Cloud Computing and E-Governance”. International Journal of Advanced Research in Computer Science and Software Engineering. 2 (2) Kuldeep Vats, Shravan Sharma, Amit Rathee. (2012). A Review of Cloud Computing and E-Governance. International Journal of Advanced Research in Computer Science and Software Engineering. 2 (2).
[3] Rajkumar Buyya, James Broberg, Andrzej M. Goscinski. (2011). “Cloud Computing: Principles and Paradigms”. Hoboken, New Jersey: John Wiley and Sons.v
[4]. Borko Furht, Armando Escalante. (2010). “Handbook of Cloud Computing”. New York: Springer.
[5]. Eric A. Marks, Bob Lozano.. (2010). “Executive`s Guide to Cloud Computing”. Hoboken, New Jersey: John Wiley and Sons, 40-102.
[6]. A. tripathi, B. Parihar. (2011). “E-governance challenges and cloud benefit”. VSRD International Journal of CS & IT. 1 (1), 29-35.
[7]. Mahafuz Aziz Aveek, Md. Sakibur Rahman. (2011). “Implementing EGovernance in Bangladesh Using Cloud Computing Technology”. BRAC University, Dhaka, Bangladesh.
[8]. Ishaq, Qusay and Rana, Muhammad Ehsan. (2011). “Towards Cloud-based e- Government Solutions for Developing Countries: Critical Success Factors and Expected Benefits”. University of Malaya, 4th international conference on Informatics and technology, Kuala Lumpur. 10 (11)
[9]. H. Takabi, J.B.D. Joshi, G.Ahn. (2010). “Security and Privacy Challenges in Cloud Computing Environments”. IEEE Security Privacy Magazine. 8 (3).
[10]. Toby Velte, Anthony Velte, Toby J. Velte, Robert C. Elsenpeter. (2010). “Cloud Computing: A Practical Approach”. New York: McGraw Hill Professional, 274.
[12]. K. Vats, S. Sharma and A. Rathee. (2012). “A review of cloud computing and e-governance”. International Journal of Advanced Research in Computer Science and Software Engineering. 2 (2).

Kondra Mounika, Anusha Taduri, Sridhar Manda, "A Study on Cloud Computing in E-Governance," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.254-258, 2017.

In this 21st century it is important to reinvent future of students by adopting unseasoned and interesting methods for classroom teaching. In this paper, games which everyone is familiar in day-to-day life are transmogrified and embedded into the classroom teaching to make the learning more ingrained and emphatic. To enhance classroom engagement it is very important to adopt classified teaching strategies which make the neoteric students to attend the classes without attendance compulsion. The games discussed in the paper are not subject or stream dependent, they can be easily modified and implemented with minor change to create a reasonable fun and learning environment. Games are competitive in nature which inbuilt the problem solving skills among the students through various stages of activities involved in game play. Implementation of games in education helps students to achieve planning, strategic thinking, communication skills, group decision making, negotiating skills and the most important gain in knowledge.

Game based learning, Class room teaching, Effective learning, Teaching methodologies

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[4] N.Raj,R.Dubey, “Snakes and Stairs Game Design using Automata Theory”, Volume-5, Issue-5, 58-62, IJCSE 2017.
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Kavisha Duggal, Lovi Raj Gupta, G Kavya Sri, "Games Transmogrified to Make Classroom Teaching More Effective," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.259-266, 2017.

A transaction processing on relational database perform as single logical unit of work, which either executed completely or not at all on database system. A transaction processing on database perform mainly two basic operations read and write operation on the database system. Read operations fetch the content of the database using some standard SQL query and retrieve the data from database to the local logical buffer in main memory. In other hand, write operations, update of the local logical buffer and send back the data from the local main memory to database system for permanent storage. In this paper, we are going to know various applications of transactions schedules and how to resolve the various issues that implicitly generated during the transaction schedule generation. Every transaction has many operations on it; all these operations may or may not be of same duration.

Serial Schedule, Relational Database, Normalization, Shared Lock, Exclusive Lock

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Kunal Kumar, Sachindra Kumar Azad, "An Approach Towards Designing Relational Database With Transaction Operations," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.267-272, 2017.

Outcome Based Education (OBE) is the focal point of teaching and learning methodology. To achieve OBE many components are essential like Programme Educational Objectives (PEOs), Exit Outcomes (EOs), Programme Outcomes (POs), Course Outcomes (COs), Graduate Attributes, Lesson Outcomes, Unit Outcomes, Vision and Mission. Attainment of any of these components lead to the achievement of OBE and validate the teaching- learning process. Modes of Outcome Based Assessment can be direct (tests, assignments, projects, end examinations, formatives) as well as indirect (feedback, discussion forums, blogs). Much work has been done to check the attainment of outcomes and achievement of OBE using the direct assessment tools. This study focuses on the development of a systematic approach to check the achievement of OBE using automated indirect assessment tool. Traditional way of assessing the attainment of outcomes is not optimal. As to manually calculate the attainment from the huge datasets requires much effort. Hence, automated process of indirect assessment of outcomes has become the necessity in today’s era.

outcome based assessment, programme outcomes; course outcomes; outcome based education; survey tool, indirect assessment

[1] Lakshmi H.N, G. Bhagya Sri, Yashasree. J, S. Bhargav, B. Satheesh Kumar, K. Anusha, "Assessment method for Course Outcome attainment: A case study in engineering education", International Journal of Computer Sciences and Engineering, Vol.5, Issue.8, pp.94-100, 2017.
[2] B.R. Patel, "Comparative analysis of classification algorithm in EDM for improving student performance", International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.171-175, 2017
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J. Bhatia, H. Singh, "Indirect Assessment of Outcomes in Education: A-Review," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.273-278, 2017.

Today the evolution of technology and fair access to the internet in countries such as India, public opinions over social media, expression of sentiment on products and services are fast and furious in present days. These opinions have value for companies to materialize profits and understand the market for their future strategic decisions. Present technology adoption energized by the healthy growth in big data framework, caused applications based on Sentiment Analysis (SA) in big data to become common for businesses. But there is wide gap and scope for SA application in big data. This paper discusses various Sentiment analysis approaches and algorithms, including sentiment polarity detection, SA features (explicit and implicit), sentiment classification techniques, applications of SA. Future opportunities and challenges of sentiment analysis is explored. Scalable, automated, accurate, sophisticated sentiment analysis is a much sought-after technology that almost no one has truly nailed yet.

Sentiment Analysis Approaches, tools, techniques, machine Learning, opportunities, and challenges, supervised learning and unsupervised learning

[1]. Harnani Mat Zin and Samaneh Nadali, Nurfadhlina Mohd Sharef. “Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data.” thescipub.com. http://thescipub.com/PDF/jcssp.2016.153.168.pdf
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[4]. Bagheri, A., M. Saraee and F. de Jong, 2013. Care more about customers: Unsupervised domain independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Syst., 52: 201-213. DOI: 10.1016/j.knosys.2013.08.011
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[10]. Bing, L.I. and K.C.C. Chan, 2014. A fuzzy logic approach for opinion mining on large-scale twitter data. Proceedings of the ACM 7th International Conference on Utility and Cloud Computing, 0Dec. 8-11, IEEE Xplore Press, London, pp: 652-657. DOI: 10.1109/UCC.2014.105
[11]. Bravo-Marquez, F., M. Mendoza and B. Poblete, 2014. Meta-level sentiment models for big social data analysis. Knowledge-Based Syst., 69: 86-99. DOI: 10.1016/j.knosys.2014.05.016
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Pranay Kumar B.V, M. Sadanandam, "Future Opportunities and Challenges in Sentiment Analysis: An Overview," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.279-286, 2017.

This paper highlight role of Natural Language Processing in social media sources like twitter, Facebook, LinkedIn etc. As now a day’s social media playing the vital role in terms of current trends social issues awareness etc. The major area where social media analysis requires is business analytics. As every business need the customer reviews and preferences for their business growth. This paper explains the major steps involved in social media mining.

Natural Language Processing, Social media,text summarization, sentiment analysis, Named Entity Recognition, Part-Of-Speech,Tagging.

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[7] P. Radha and R.Divya,” Extracting Information from Social Network using NLP”, International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 4 (2017), pp. 621-630
[8] Surabhi Thorat,” Opinion Mining and Sentiment analysis- Its Tools and Challenges”, International Journal of IT, engineering and Applied Sciences Research (IJIEASR) ISSN: 2319-4413 Volume 3, No. 11, November 2014, pp. 12-15

Aditya Andhare, Surabhi Thorat and Vikrant Shaga, "Role of Natural Language Processing in Social Media," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.287-289, 2017.

In today’s fast going life railway plays a major role as a public transport in different countries. And it’s a very difficult job to control the railway traffic signal manually considering all kinds of situation and also it is very difficult to find out whether any deadlock situation has occurred or not. This work is emphasized on use of Petri nets in modeling railway network as well as railway signalling system and designing appropriate control logic for it to avoid collision. Here, the whole railway network is presented as a combination of the elementary models – tracks, stations and points (switch) within the station including sensors and semaphores. We use generalized mutual exclusion constraints and constraints containing the firing vector to ensure safeness of the railway network. In this research work, we have actually introduced constraints at the points within the station. These constraints ensure that when a track is occupied, we control the switch so that another train will not enter into the same track and thus avoid collision.

Petri nets, safeness constraints, firing vectors, asynchronous systems

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Journal of Computer Sciences and Engineering, Volume 5, Issue: 11, pp. 181-185, November, 2017.

R. Barik, K. Santara, R. Ghosh, P. Sarkar, "A Petri-Net Based Representation of Automated Railway Signalling System with Collision Avoidance," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.290-295, 2017.

There is a huge need of software professional to develop the better quality systems in rapid time to satisfy the customer needs. The component based technologies fulfil the achievement to make this possible. The modern systems have practically too complex behaviour. The complex systems developed with reusable components has many features such as lower costs and shortened development lifecycles. The component software development places the significant challenges like system integration and testing to build the software products. The verification and validation techniques are essential to ensure the software quality for component based producers. Accomplishing these techniques in the reusable component building is not a simple task. This paper focuses the various difficulties of these testing in various stages of component based software engineering.

Requirement, Design, Construction, Deployment, Software Quality, Verification, Validation

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Jogannagari Malla Reddy, Kothuri Parashu Ramulu, "The Complexity of Verification and Validation Testing in Component Based Software Engineering," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.296-300, 2017.

The most important and time consuming part of software development life cycle is Software testing. Its main purpose is to detect software faults and failures so that defects can be recovered and corrected in early phases of testing. Software Testing is a process of confirming that the product software that has been manufactured by programmers is a good quality product and also to assure that the product is working according to the specification that has been intended so that customer satisfaction can also be possible. In this paper, we have described and compared the two most important and commonly used software testing techniques for detecting errors, which are: Black Box Testing and White Box Testing.

Software Testing, Black Box Testing, White Box Testing, Software Development Life Cycle (SDLC).

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Akanksha Verma, Amita Khatana, Sarika Chaudhary, "A Comparative Study of Black Box Testing and White Box Testing," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.301-304, 2017.

Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing have greatly expanded in recent years. In this paper, we will take a look at one of the essential components of a big data system: processing frameworks. Processing frameworks compute over the data in the system, either by reading from non-volatile storage or as it is ingested into the system. Computing over data is the process of extracting information and insight from large quantities of individual data points.

Big Data, Hadoop, HDFS, Spark, Storm, Flink, Samza

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Vairaprakash Gurusamy, S. Kannan, K. Nandhini, "The Real Time Big Data Processing Framework: Advantages and Limitations," International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.305-312, 2017.