iosr-JCE   Volume-21 ~ Issue-3 ~ May-June 2019

Abstract: Platform games are being revived with both their 2D and 3D versions being developed. A major challenge faced by the industry is a lack of automated system-level approaches for game testing. Currently in most game development organizations, games are tested manually or using semi-automated techniques. Such testing techniques do not scale to the industry requirements where more systematic and repeatable approaches are required. We provide guidelines for modeling the platform games for testing using our testing model. We present the details related to automated test case generation, execution, and oracle generation. Machine Learning approach can help us analyze the current state and allows to take action on it.

Keywords: Automation, Gaming, Machine Learning, Deep Learning

[1] Yung-Ping Fang, "Applying reinforcement learning for game AI in tank battle game" ,Fourth International Conference on Innovative Computing, Information and Control, 2009
[2] Michelle McPartland and Marcus Gallagher, "Reinforcement learning in first person shooter game" Member, IEEE transactions on computational intelligence and AI in games, vol. 3, NO.1,March 2011 .
[3] Muhammad Zohaib Iqbal Sidra Iftikhar Wardah Mahmood Muhammad Uzair Khan, "An Automated Model Based Testing Approach for Platform Games", 2015 IEEE.
[4] Sendex , "Self driving car neural network in the city - Python plays GTA with Tensor Flow" , Published on Apr 21, 2017, [Video file]. Available: https://youtu.be/KSX2psajYrg,
[5] Siraj Raval, "How to Simulate a Self-Driving Car", Published on May 17, 2017 , , [Video file]. Available: https://youtu.be/EaY5QiZwSP4

Abstract: External steel (EX.steel), steel fiber reinforced concrete (SFRC) and carbon fiber reinforced polymer (CFRP) had been the most common Special methods for strengthening reinforced concrete structures recently. This paper presents experimental investigation for eight beams in two sets each one component of control beam and three beams strengthened by the three different methodswithout changing its dimensions. The beams were tested under four point loads. Ultimate loads, load-deflection curves, cracking and crushing patterns for strengthening beam had been compared with those of the RC beams without strengthening in shear and flexure stresses. The result showed that beams strengthened using CFRP had increased in load capacity about 24% and 27% in shear and flexure stresses receptivity, while the beams strengthened using SFRC were the lowest and did not achieve the aim of paper.

Key Words: EX.steel, SFRC, CFRP, strengthen beam, load capacity

[1]. Bilal Hamad, Adnan Masri, HishamBasha and OussamaBaalbaki, (2011) "Behavior of T-shapedreinforced concrete beams partially confined by structural steel" Construction and Materials vol 25, p.p.1037-1043.
[2]. Christopher M. Foley and Evan R. Buckhouse,( January 1998) "Strengthening of beams for flexureby using external bolted steel channels" Structural Engineering Report MUST-98-1.
[3]. Khair Al-DeenBsisu , Yasser Hunaiti and Raja Younes,( 2012) "Flexural Ductility Behavior of Strengthened Reinforced Concrete Beams Using Steel and CFRP Plates"Jordan Journal of Civil Engineering, Vol.6, No.3.
[4]. Balendran, R. V., Nadeem, N.,Maqsood, T. and Rana, T. M.,( 2001)," A Parametric Study on the Flexural Behavior of Plain Concrete Beams Strengthened by Externally Bonded Plates", Proceedings of the 26th Conference on our World in Concrete and Structures, pp.173-182.
[5]. Asst. lec. HeshamAbd Al –LatefNuman,(2010) "Effect of compressive strength and reinforcement ratio on strengthened beam with external steel plate" Al-Qadisiya Journal For Engineering Sciences Vol.3, No.2, Year 2010.

Abstract: The paper proposes a goal-oriented recipe recommendation system that utilizes information about nutrition on the internet. Entire world is associated and distinctive clients of various nations are sharing a large number of new recipes on the web, with the dominance of web. Thus, subsequently clients don't know about the every one of the recipe on the web. Recipe contains diverse ingredients, cooking procedure, categories and so on. Along these lines, we think the recipe is conglomeration of the unique heterogeneous elements. In this paper we will review various papers on recommendation system like content based recommending, Collaborative filtering.

Key Words: Reciperecommendation, Recommender systems, Content based filtering, Collaborative filtering

[1] Agarwal, C. C., Wolf, J.L., Wu, K., and Yu, P.S.(1999).Horting Hatches an Egg: A New Graph-theoreticCollaborativeFiltering. In Proceedings of the ACM KDD'99 Conference. San Diego, CA. pp. 201-212
[2] Basu, C.,Hirish,H.,and Cohen, W.(1998).Recommendation as classification: Using Social and Content based Information in Recommendations.
[3] Karypis,G.(2000).Evaluation of Item-Based Top-N Recommendation Algorithms. Technical Report CS-TR-00-46, Computer Science Department, University of Minnesota.
[4] Adomavicius G, Tuzhilin A. Towards the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. on Knowledge and Data Engineering, 2005,17(6):734 749. [doi: 10.1109/TKDE.2005.99]
[5] Ricci F. Mobile recommender systems. Int'l Journal of Information Technology and Tourism, 2011,12(3):205-231.

Abstract: This research addresses the development of Online Bus Ticket Reservation System to enables customers to purchase bus tickets online and increase company's efficiency. In the existing system, ticket purchase has been over the counter in bus terminals. Problems such as wasting of time and money to purchase bus ticket, to prepare ticket sell report and ticket frauds are common. The Online Bus Ticket reservation System provides solutions for above mentioned problems. The System enables the company to manage its ticket related operations more efficiently. The System also enables customers to check availability of bus ticket, buy bus ticket and pay for bus ticket online through prepaid card based on the passenger's sources and destination. This makes the customers easy to get bus ticket online instead of queue up to buy the bus ticket. The software development methodology used for this system was Object Oriented approach, and for security considerations MD-5(Message Digest) algorithm is used.

Key Words: Bus Ticket Reservation System, Internet, Time Efficiency, Security, MD-5

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[3]. Kevin O. Capaciete,, Reservation System, Philippines, February 26, 2012 Naga City,
[4]. Wang Kang Li, Ticketing System, School of Arts and Science, Tunku Abdul Rahman College, Kula Lupur, 2010/2011
[5]. WEE KIM LI, Bus Ticket Booking System, university Teknikal Malaysia 2007..

Abstract: Location information are important in location sensitive tasks.Web pages contains large number of location information. Web pages are often noisy,massive. This paper propose a method to find the location information from web pages and also here NER (name,entity,recognition) method is implemented. By using NER we can predict whether the search query contains persons,organization and location information.Here considers both location terms and non-location terms in a web page.The number of occurances of word is counted to find the weight.It is always difficult to consider all terms or datas in web page so that here only metadata content is taken to avoid complications.tfidf algorithm is used to avoid noisy datas or massive ones.

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[5]. T qin, R xiao, l fang, x xie and l zhang"an efficient location extraction algorithm by leveraging web contextual information." In proc ACM intsymp advances geographic infsyst 2010,pp 53-60.

Abstract: The purpose of this paper is to design and develop an ITIL (Information Technology Infrastructure Library) implementation model in a company that allows for effective implementation of the framework. To do so, we will first analyze the critical success factors of the ITIL implementation approaches, described in previous studies, in order to select the most important among them. Then, we critique ITIL implementation approaches by identifying the strengths and the limits of each approach. After, we examine a case study of the implementation of ITIL in an enterprise by identifying the main advantages and the limits of this implementation. Finally, we will.........

Keywords: Critical success factors of ITIL implementation approaches, ITIL, ITIL implementation approaches, ITIL implementation model

[1] C. Pollard, and A. Cater-Steel, Justifications, strategies, and critical success factors in successful ITIL implementations in U.S. and Australian companies: an exploratory study, Information Systems Management, 26(2), 2009, 164-175.
[2] H. Nenickova, Critical success factors for ITIL best practices usage, Economics and management, 16, 2011, 839-844.
[3] H. Axel, T. Gerrit, and B. Walter, Service-oriented IT management: benefit, cost and success factors, Proc. The 13. European. Conference. On Information Systems, Regensburg, Germany, 2005.
[4] J. Iden, and L. Langeland, Setting the Stage for a successful ITIL adoption: A Delphi study of IT experts in the Norwegian armed forces, Information Systems Management, 27(2), 2010, 103-112.
[5] J. Iden, Implementing IT service management: lessons learned from a university, in IGI Global, Governance and Service Management: Frameworks and Adaptations, (USA: Information Science Reference, 2009) 333-349.

Abstract: In this work, we applied digital image preprocessing techniques with the Learning Vector Quantization Neural Network (LVQ) to implement auto-diagnosis system for 4 different soybean leaf category classifications. Out of these, 3 categories define diseased soybean leaves database which is affected by diseases such as blight, frogeye leaf spot, and Septoria brown spot and 1 category define healthy leaves database. At first 4 different databases is created ac-cording to defined soybean leaf categories. Then total of 8 training and testing leaf features are extracted..........

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[3]. Food and Agriculture Organization (FAO). Declaration of the World Summit onFood Security. Rome: Food and Agriculture Organization. 2009.
[4]. Sharma P, Sharma S. Paradigm shift in plant disease diagnostics: a journey fromconventional diagnostics to nano-diagnostics. In: Kumar P, Gupta KV, Tiwari KA, Kamle M, editors. Current trends in plant disease diagnostics and management practices. Switzerland: Springer International Publishing AG; 2016. p. 237-64.
[5]. Arivazhagan S., Newlin Shebia R. 2013. Detection ofunhealthy region of plant leaves and classification of plant leaf diseases using texture features. Agricultural Engineering Institute: CIGR journal. Volume 15, No.1..

Abstract: The recent developments of information and communication technology have led generation to have eased access to information, Farmers' acquisition of market information through ICT tools is potential use of this application in developing country. Despite the broad potential of ICTs that benefits farmers; they have not been spread evenly, the developing countries particularly the rural population have been significantly been left out of the information revolution. Getting access to market and marketing information's are restricted by factors such as less road infrastructure, under........

Keywords: Android Model, Android, Small Holder's Farmers, Real Time

[1]. ITU (2002). Internet from the Horn of Africa: Ethiopia Case Study; Geneva, Switzerland.
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[4]. Wolfert, S &Kempenaar, C. (2012). The role of ICT for Future Agriculture and the role of Agriculture for Future ICT Wageningen University Plant Research International
[5]. Belay Kassa (2003). Agricultural Extension in Ethiopia: the case of participatory demonstration and' training extension system Journal of Social Development in Africa Vol 18 No 1 JANUARY 2003..

Abstract: Currently, employing data mining techniques for conducting studies in different areas, such as marketing, health, education, and in other many areas is very important. Because, the huge collection of data in these areas need to be analyzed for extracting hidden knowledge that assists in making sound decision. Data mining tasks can be classified into two categories: descriptive and predictive. Descriptive mining tasks characterize the general properties of the data in the database. Predictive mining tasks perform inference on the current data in order to make predictions. In this research, descriptive data mining task is used. In our country, higher education institutions are expanding...........

Key words: Classification based Associator, Educational Data Mining, Apriori, filtered Associator

[1]. M.Kamber and J.Han, Data Mining Concepts and Teaching, San Francisco (CA, USA): Morgan Kaufmann, 2001.
[2]. S.Baker and K.Rajeswari, "Data mining for education," International Encyclopedia of Education 3rd edition, Oxford, UK: Elsevier, vol. 7, pp. 112-118, 2010.
[3]. E.Wan, M.Zarlis, D.Hartama and S.Ramliana, "Prediction of Student Academic Performance by an Application of Data Mining Techniques,," in International Conference on Management and Artificial Intelligence IPEDR, IACSIT Press,, Bali, Indonesia, 2011.
[4]. M.Ramaswami and R.Bhaskaran, "A Study on Feature Selection Techniques in Educational Data Mining,," Jornal of Computing, vol. 1, December 2009.
[5]. P.Ramasubramanian, K.Iyakutti and P.Thangavelu, "Enhanced Data Mining Analysis in Higher Educational System using Rough Set Theory," African Journal of Mathematics and Computer Science Research, vol. 2(9), pp. 184-188, 2009.

Abstract: Now a day's cloud computing has become an integral part of people's lives to acquire services such as software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). Users get services by deploying their data and application on remote servers. However, knowing the real information about a cloud performance before subscribing data and application is great challenge for the users. The objective of this study is to give selective testing and to investigate cloud performance status and capacity of servers. Finding the parameters helps us to measure the actual performance of a cloud computing on some specific data and application. These parameters.........

Keywords: Cloud Computing; Performance evaluation; Local cloud; Performance measurements; Performance parameters.

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