In ITIL lifecycle‚ the service operation stage is the only phase which service actually transmit value to the business.In order to increase the quality of IT service‚ it is necessary to focus on it. This essay will discuss the primary activities in service operation in ITIL‚ then compare and relate to COBIT. The purpose of Service Operation is that implement the activities and processes which need to deliver and provide guidance and coordination and manage agreed level service to users and customers
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Report- Hard Copy ASSIGNMENT METHOD The assignment problem is one of the fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics. It consists of finding a maximum weight matching in a weighted bipartite graph. In its most general form‚ the problem is as follows: There are a number of agents and a number of tasks. Any agent can be assigned to perform any task‚ incurring some cost that may vary depending on the agent-task assignment
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singular configurations of the platform depend on the value of this objective function under consideration‚ if it is zero the configuration is singular. The results thus obtained by different methods namely the genetic algorithm‚ Particle Swarm optimization and variants and simulated annealing are compared with each other. The variable sets considered are the respective desirable platform motions in the form of translation and rotation in six degrees of freedom. This paper hence presents a proper
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Compiler Design UNIT 1 1 What is compiler? Ans:- A compiler is a program that translates human readable source code into computer executable machine code. To do this successfully the human readable code must c omply with the syntax rules of whichever programming language it is written in. The compiler is only a program and cannot fix your programs for you. If you make a mistake‚ you have to correc t the syntax or it won’t compile 2 compare NFA and DFA ? Ans:DFA- single value transition
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Multimedia and Security‚ 2002. [5] J. Fridrich‚ M. Goljan‚ and D. Hogea‚ Steganalysis of jpeg images: Breaking the f5 algorithm‚ Proc. of ACM Workshop on Multimedia and Security 2002‚ 2002. [6] D. E. Goldberg‚ The genetic algorithms in search‚ optimization and machine learning‚ AddisonWesley‚ 1989. [7] C. T. Hsu‚ J. Wu‚ and L. Hidden‚ Digital watermarks in images‚ IEEE Trans. Image Processing‚ pp. 58-68‚ 1999. [8] H. C. Huang‚ C. M. Chu‚ and J. S. Pan‚ The optimized copyright protection system with
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1987. 3] X. Yao‚ Optimization by genetic annealing‚" In M. Jabri‚ editor‚ Proc. of ACNN ’91‚ pages 94{97‚ Sydney‚ 1991. 4] D. R. Greening‚ Parallel simulated annealing techniques‚" Physica D‚ 42:293{306‚ 1990. 5] X. Yao‚ Simulated annealing with extended neighbourhood‚" International J. of Computer Math.‚ 40:169{189‚ 1991. 6] X. Yao and G.-J. Li‚ General simulated annealing‚" J. of Computer Sci. & Tech.‚ 6:329{ 338‚ 1991. 7] S. Kirkpatrick‚ C. D. Gelatt‚ and M. P. Vecchi‚ Optimization by simulated annealing
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A Swarm Intelligence Method Applied to Manufacturing Scheduling Davide Anghinolfi‚ Antonio Boccalatte‚ Alberto Grosso‚ Massimo Paolucci‚ Andrea Passadore‚ Christian Vecchiola‚ DIST – Department of Communications Computer and System Sciences‚ University of Genova STWTSDS problem. Regarding the latter point‚ note that the approach in [4] seems to be the only previous DPSO application to the single machine total weighted tardiness (STWT) problem. The rest of the paper is organized as follows. Section
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18th European Symposium on Computer Aided Process Engineering – ESCAPE 18 Bertrand Braunschweig and Xavier Joulia (Editors) © 2008 Elsevier B.V./Ltd. All rights reserved. Optimization of Preventive Maintenance Scheduling in Processing Plants DuyQuang Nguyen and Miguel Bagajewicz The University of Oklahoma‚ R. T-335 SEC‚ 100 E. Boyd‚ Norman‚ OK 73019‚ USA Abstract A new methodology designed to optimize both the planning of preventive maintenance and the amount of resources needed to perform
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Applied Energy 87 (2010) 1158–1175 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings R. Karunakaran a‚ S. Iniyan b‚*‚ Ranko Goic c a Department of Mechanical Engineering‚ Anna University Tiruchirappalli-Thirukkuvalai campus‚ India Institute for Energy Studies‚ Department of Mechanical Engineering‚ Anna
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Dynamic Signal Analyzer for dSPACE K. A. Lilienkamp‚ and D. L. Trumper Precision Motion Control Lab‚ MIT‚ Rm 35-030‚ 77 Mass. Ave‚ Cambridge‚ MA 02139 We have developed MATLAB software and a Simulink subsystem block which work in tandem to extract the transfer function (amplitude and phase) of a system using ‘swept sine’ excitation. The resulting dynamic signal analyzer provides a convenient tool for obtaining empirical Bode plots of system and controller dynamics within the dSPACE environment.
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