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Vol. 04, No. 05 [May 2018]

Paper Title :: Transmuted Inverse Exponential Software Reliability Model
Author Name :: Nikolay Pavlov || Anton Iliev || Asen Rahnev || Nikolay Kyurkchiev
Country :: Bulgaria
Page Number :: 01-06
In this paper we study the Hausdorff approximation of the Heaviside step function hr (t) by sigmoidal curve model based on the transmuted inverse exponential software reliability model and find an expression for the error of the best approximation. Some comparisons are made
[1] Oguntunde, P., A. Adejumo, E. Owoloko, On the flexibility of the transmuted inverse exponential distribution, Proc. of the World Congress on Engineering, Juli 5–7, 2017, London, U.K., vol. 1, 2017
[2] Shaw, W., I. Buckley, The alchemy of probability distributions: Beyond Gram–Charlier expansions and a skew–kurtotic–normal distribution from a rank transmutation map, 2009, Research report.
[3] Khan, M., Transmuted generalized inverted exponential distribution with application to reliability data, Thailand Statistician, 16 (1), 2018, 14–25.
[4] Abouammd, A., A. Alshingiti, Reliability estimation of generalized inverted exponential distribution, J. Stat. Comput. Simul., 79 (11), 2009, 1301–1315.
[5] Ellatal, I., Transmuted generalized inverted exponential distribution, Econom. Qual. Control, 28 (2), 2014, 125–133.

Paper Title :: An improved simulated annealing algorithm for multiobjective programming problem
Author Name :: Tao Zhang
Country :: China
Page Number :: 07-12
In this paper, an improved SA is presented for solving multiobjective programming problems, in which a new method for computing energy difference is proposed and the external file technology is used. And a set of approximate Pareto optimal solutions for multiobjective programming problem is obtained using the elite strategy. This interactive procedure is repeated until the accurate Pareto optimal solutions of the original problem are found. The experimental results show that the proposed algorithm is a feasible and efficient method for solving multiobjective programming problems.
[1]. S. Kirkpatrick, C.Gelatt, M. Vecchi, Optimization by simulated annealing, Science 220 (1983) 671-680.
[2]. F. Maffioli, Randomized heuristic for NP-hard problem. Advanced School on Stochastic in Combinatorial Optimization, World Scientific, 1987, 760–793.
[3]. B. Suman, P. Kumar, A survey of simulated annealing as a tool for single and multiobjective optimization, Journal of the Operational Research Society 57(2006) 1143–1160
[4]. S. Bandyopadhyay, S. Saha, U. Maulik, K. Deb, A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA, IEEE Transaction on evolutionary computation 12(3) (2008) 269-283.
[5]. K. Smith, R. Everson, J. Fieldsend, Dominance measures for multi-objective simulated annealing, in Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC'04) 2004 23-30.

Paper Title :: Optimal Green Inventory model to regulate Eco-friendly Environment
Author Name :: W. Ritha || S. Poongodisathiya
Country :: India
Page Number :: 13-16
Environmental sustainability is the study of interaction with the environment to prevent depletion of natural resources and allow for long-term environmental quality. The main aspect of going eco-friendly is about environmental sustainability. Global warming is the major threat to our planet. The reason for global warming is emission of greenhouse gases (GHGs). In this paper describes green inventory model of different social cost to reduce carbon emission strategies to achieve environmental sustainability under carbon-sensitive product. Finally determine optimal order quantity and the total cost of the system. As a result, the paper concludes with a numerical example.
Keywords: Eco-friendly environment, green inventory model, carbon sensitive products, pollution cost, sustainability.
1. Bonney, M., & Jaber, M. Y. (2011). Environmentally responsible inventory models: Non‐classical models for a non‐classical era’. International Journal of Production Economics, 133, 43–53.
2. Bonney, M.,1994, Trends in inventory management. International Journal of Production Economics, 35 (1 - 3), 107 - 114.
3. Bouchery, Y., Ghaffari, A., Jemai, Z., Dallery, Y. (2012). Including sustainability criteria into inventory models, European Journal of operational research, Vol.222, No.2, 229-240.
4. Boustani, A., Sahni, S., Gutowski, T., & Graves, S. (2010). Tire remanufacturing and energy savings. Environmentally Benign Manufacturing Laboratory, Sloan School of Management, MITEI‐1‐h‐2010, MIT Energy Initiative Report Series, MIT: Cambridge.
5. Chaabane,A., Ramudhin, A., Paquet, M. (2012), Design of sustainable supply chains under the emission trading scheme, International Journal of Production Economics, Vol.135, No. 1, 37 - 49

Paper Title :: Vendor-Buyer Model with Imperfect Supply Process and Environmental Impacts
Author Name :: W. Ritha || S. Infancy Vimal Priya
Country :: India
Page Number :: 17-22
One of the most important problems the world is facing today is the environmental pollution, which is continuously increasing and causing severe and irreparable damage to the earth. In an effort the new actions could be taken to reduce the negative impact of human species on the environment. This paper presents an integrated vendor-buyer inventory model for a single-vendor and a single-buyer considering a single item.The purpose of this paper is to investigate the impact of emission costs on the replenishment order sizes and the total profit of a Vendor-Buyer in an imperfect supply process, where the buyer receives the batches containing a percentage of imperfect quality items. In this context, an integrated inventory model with imperfect supply process and emission costs, which are the result of warehousing, waste disposal, packaging and transportation is derived with numerical example.
Keywords: Inventory, Coordinated, imperfect supply, Environmental impacts
[1]. Andriolo, A., Battini, D., Grubbström, R.W., Persona, A., &Sgarbossa, F. (2014). A century of evolution from Harris’sbasic lot size model: Survey and research agenda. InternationalJournal of Production Economics, 155, 16–38.
[2]. Arıkan, E., &Jammernegg,W. (2014). The single period inventory model under dual sourcing and product carbon footprint constraint. International Journal of Production Economics,157, 15–23.
[3]. Battini, D., Persona, A., &Sgarbossa, F. (2014). A sustainableEOQmodel: Theoretical formulation and applications.International Journal of Production Economics, 149, 145–153.
[4]. Benjaafar, S., Li, Y., &Daskin, M. (2010). Carbon footprint and the management of supply chains: Insights from simple models (Working Paper). Minneapolis, MN: University of Minnesota.
[5]. Benjaafar, S., Li, Y., &Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. IEEE Transactions on Automation Science andEngineering, 10, 99–116.

Paper Title :: How to Create and Manage a Team to Apply Collaborative Methods in Construction (IPD) in Spain
Author Name :: Miguel Angel Alvarez Perez || Manuel Soler Severino || Eugenio Pellicer
Country :: Spain
Page Number :: 23-33
The Collaborative Methods2 in Construction (Integrated Project Delivery or IPD) are based precisely on a good functioning of the team. IPD is built around it. The formalization of these techniques is still incipient in Spain, very little by little there are beginning some works by applying them, it is necessary that we expand our knowledge to improve the efficiency and productivity of the construction sector in our country, and its successful application spread as it is already doing in others. Construction is an inefficient industry in Spain because it is not developed with collaboration, if we manage to introduce this collaborative methodology, our results will improve.
Keywords: Team, Collaborative Methods, Integrated Project Delivery, IPD
[1]. American Institute of Architects (AIA), AIA Document A201, General Conditions of the Contract for Construction, 2007.
[2]. American Institute of Architects (AIA) California Council, Experiences in Collaboration: On the path to IPD, 9, 2009, AIACC Sacramento, California, USA.
[3]. American Institute of Architects (AIA) California Council, Integrated Project Delivery: An Updated Working Definition, 2014, AIACC Sacramento, California, USA.
[4]. Amabile Teresa, How to kill creativity; Harvard Business Review, September-October 1998.
[5]. Ashcraft Howard W., IPD Teams: Creation, Organization and Management, 2011, Hanson Bridgett LLP, San Francisco, California.

Paper Title :: The model study of the market impact of online takeout for catering industry
Author Name :: Yan Xie || Guohua Chen
Country :: China
Page Number :: 34-39
SWith the popularization of smart phones and the improvement of online payment channels, the OTO business model of catering industry has gradually become a new trend. In recent years, online takeout has been rapidly growing, which has brought great convenience to residents' food and beverage life, which has caused a certain impact on catering industry.We have established a regression analysis model for the impact of the market size of online takeout on catering industry revenue and the impact of online delivery on the revenue of catering industry. Use EVIEWS software the restaurant revenue as the online delivery of the size of the market, online delivery of user size increased with the increase of conclusions, and put forward the catering businesses shall be online take-out seize market opportunities, perimeter take-out platform should perfect service system. The results of model research can provide data analysis for catering industry.
Keywords: online takeout; The restaurant industry; Linear regression; The new retail
[1]. he Chen hui. Catering O2O as an Internet platform to compete for the popularity of the market [N]. Beijing business daily.
[2]. li yingchao. The food delivery market is entering the era of competition [N]. Worker's daily,2015-8-12(6).
[3]. media consulting. Research report on Chinese online catering takeaway market [R].
[4]. Chen wei. Lanzhou online delivery is entering a fast growing period [N]. Lanzhou daily, 2017-2-22(14).
[5]. li wenliang, qiu sanping. Application of unitary linear regression model in economic forecasting [J]. Journal of jiyuan vocational and technical college, 2003,2(2):34-36.

Paper Title :: Cost-Benefit Analysis of Industry Having Duplicate Cold Standby Unit with Different Failure Rate
Author Name :: Indu Rohilla || Jitender Kumar
Country :: India
Page Number :: 40-45
Identical unit in the system play very important role to increase the reliability of the system. But in this situation, the cost of the system becomes very high to hold redundant unit. Idea that the system, having the minimum cost that duplicate unit has taken as cold standby with different failure rate as the failure rate of original unit. Keeping the idea of such system a model is developed having different failure and repair rate of the original and duplicate unit. There is a single server, who play dual role to repair of original as well as duplicate unit whenever required. The time to take repair activity follows negative exponential distribution whereas the distributions of unit are taken as arbitrary with different probability density functions. The expressions of various stochastic measures are analyzed in steady state using semi-Markov process and regenerative point technique. The graphs are sketched for arbitrary values of the parameters to delineate the behavior of some important performance measures to check the efficacy of the system model under such situations.
Keywords: Stochastic Analysis, Duplicate cold-standby, regenerative point, steady state and semi-Markov process.
[1]. Nakagawa T. and Osaki S. [1975]: Stochastic behavior of a two-unit priority standby redundant system with repair, Microelectronics Reliability 14(3), pp. 309-313.
[2]. Gopalan M.N. and Nagarwalla H.E. [1985]: Cost-benefit analysis of a one server two unit cold standby system with repair and age replacement, Microelectronics Reliability Vol. 25, pp. 977-990.
[3]. Singh S.K. and Sriniwas B.[1987]: Stochastic analysis of a two unit cold standby system with preparation time for repair, Microelectronics Reliability 27(1) pp. 55-60.
[4]. Bhardwaj R.K. and Singh Ravinder [2014]: Semi Markov approach for asymptotic performance analysis of a Standby system with server failure, International journal of computer Applications 98(3), pp. 9-14.
[5]. Bhardwaj R. K. and Singh Ravinder [2014]: Steady state behavior of a cold-standby system with server failure and arbitrary repair, replacement and treatment, International Journal of Applied Engineering Research 9(24), pp. 26563-26578.

Paper Title :: Cloud Robotics: A Survey
Author Name :: Ahmed Refaat Sobhy || Abeer Twakol Khalil || Mohamed M.Elfaham || Atalla Hashad
Country :: Egypt
Page Number :: 46-52
IThe idea of cloud robotics attracts many researchers mind in the last few years. Cloud robotics is a term combination of cloud technologies with its mass and services which is combined to serve the huge use of robotics applications. The power of robotics is behind the power of cloud which aims in the process of learning and exchanging knowledge, the use of cloud to process heavy tasks allows use of smaller on-board computers in a robot which needs to perform tasks in an accurate real time. So in realistically the Cloud can make robots lighter, cheaper and smaller. This paper surveys cloud robotics in order to give a clear platform in this technology.
Keywords: Cloud robotics, UAV
[1]. Ben Kehoe, Sachin Patil, Pieter Abbeel andKen Goldberg"A Survey of Research on Cloud Robotics and Automation" IEEE, November 06, 2014.
[2]. James J. Ku_ner. Cloud-Enabled Robots. In IEEE-RAS International Conference on Humanoid Robots,Nashville, TN, 2010.
[3]. Neelima Bhardwaj,Preetika Saxena"A Survey on Using Cloud Services in Robotics"Imperial Journal of Interdisciplinary Research, Vol-2, Issue-7, 2016.
[4]. Sanfeliu. A., Hagita, N., and Saffiotti, A., ―Network robot systems,‖ Robotics and Autonomous Systems, vol. 56, no. 10, 2008, pp. 793-797.
[5]. L. Zhang and Q. Zhou: CCOA: Cloud Computing Open Architecture. In Proceedings of the 2009 IEEE International Conference on Web Services, Los Angeles, CA, July 06-July 10, pp. 607-616.

Paper Title :: Combined Method of Radiation Pyrometry in Material Science
Author Name :: Konstantin Ludanov
Country :: Ukraine
Page Number :: 53-58
Mathematical modeling is proposed measurement procedure combined method for radiation pyrometry stalemate. Patent UA number 63080A, which includes the joint determination of the true temperature and emissivity integral substances, which makes it possible to determine the point of phase transitions and structural transformations.
[1]. Ribot G. Optical pyrometer. Leningrad: GT-TI, 1934.
[2]. Harrison T.R. Radiation pyrometry. New York: Wiley, 1964.
[3]. Gordov A.N. Basics pyrometry. Moscow: Metallurgy, 1971.
[4]. Magunov A.N. The spectral pyrometry. – M.: Physmathlit, 2012.- P. 248.
[5]. Stegniy A.I., Shevchenko A.V., Shovels L.M. Thermal analysis and other oxides using solar heating / / Dokl. - Ser. And, № 6. - 1979, pp. 484 - 487.

Paper Title :: Review of Wind Energy Potentials and the Possibility of Wind Energygrid Integrattion in Nigeria
Author Name :: G.S Alabi || P.K Olulope
Country :: Nigeria
Page Number :: 59-68
This paper reviews the potential of wind energy in Nigeria. The paper collates and explains wind energy profile for some Nigeria states. It also analyzes the prospect of stand-alone and grid connected wind turbine, the stability conditions to be met before the wind turbine can be connected to the existing grid and how it can be connected.
Index Terms: Renewable Sources, synchronization, Stand alone and Grid connected wind generator, Reliability and stability.
[1]. A. B. Muhammad, A. T. sulaiman and S. Shodiya, “A model for pre-assessment study of wind energy potential for borno state”
[2]. “Activities Supply & Demand Management Energy Statistics Policy & Planning Extension Services Cooperation in Energy Efficiency” Copyright © 2012.
[3]. P. K. Olulope and K. A. Folly, “Impact of Stochastic Load and Hybrid DistributedPenetration Level on Transient Stability of Power Systems”, December 2016.
[4]. P.K. Olulope, “Transient Stability Assessment of Hybrid Distributed Generation Using Computational Intelligence Approaches”, Feb. 2014.
[5]. A. F. Agbetuyi., T.O. Akinbulire, A. Abdulkareem, C.O.A. Awosope, “Wind Energy Potential in Nigeria”

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