International Journal of Computer Science and Management Research Vol 2 Issue 4 April 2013 ISSN 2278-733X Mobile Based Monitoring of Driving Patterns Ashish Chaudhary1 Ashish Bajaj2 Nandan Shah3 and Neha Mankar4 Department of Computer Engineering‚ Sinhgad College of Engineering University of Pune‚ India Abstract -- India holds a highly uncertain variation of registering the highest number of road accidents in the world. In this paper‚ we propose a highly efficient system to monitor
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Abstract A novel 0–1 integer programming formulation of the university timetabling problem is presented. The model provides constraints for a great number of operational rules and requirements found in most academic institutions. Treated as an optimization problem‚ the objective is to minimize a linear cost function. With this objective‚ it is possible to consider the satisfaction of expressed preferences regarding teaching periods or days of the week or even classrooms for specified courses. Moreover
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greatly during the 24-hour day‚ and might fluctuate considerably from one half-hour to the next. Trying to design the work schedules for all the employees at a given location to meet these service requirements most efficiently is a nightmare of combinatorial considerations. Once an employee begins working‚ he or she will be there continuously for the entire shift (2 to 10 hours‚ depending on the employee)‚ except for either a meal break or short
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AEM 4550: Economics of Advertising HW3 – Due at the beginning of the class Monday‚ March 8th You are encouraged to work in groups of 3-4 students. Write legibly‚ type when you can. Include a title page‚ listing the homework number and the names of all the members of the study group. PARTS I & II ANSWERS Objective: to analyze online advertising effectiveness. This question deals with the case “Air France Internet Marketing: Optimizing Google‚ Yahoo!‚ MSN‚ and Kayak Sponsored Search” by
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() SIAM J. OPTIMIZATION Downloaded 02/21/14 to 128.42.163.118. Redistribution subject to SIAM license or copyright; see http://www.siam.org/journals/ojsa.php Vol. 4‚ No. 1‚ pp. 208-227‚ February 1994 1994 Society for Industrial and Applied Mathematics 012 ON THE CONVERGENCE OF A CLASS OF INFEASIBLE INTERIOR-POINT METHODS FOR THE HORIZONTAL LINEAR COMPLEMENTARITY PROBLEM* YIN ZHANGt Abstract. Interior-point methods require strictly feasible points as starting points. In theory
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Workshop of the UK Planning and Scheduling Special Interest Group‚ 28-39. Bartak‚ R.‚ & Rudova‚ H. (2001). Integrated modelling for planning‚ scheduling‚ and timetabling problems. Proceedings of PLANSIG‚ 19-31. Benli‚ O.‚ & Botsali‚ A. (2004). An optimization-based decision support system for a university timetabling problem: an integrated constraint and binary integer programming approach. Birbas‚ T.‚ Daskalaki‚ S.‚ & Housos‚ E. (1997a). Course and teacher scheduling in Hellenic high schools. 4th Balkan
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The International Review of Mathematical Sciences 2010 (IRMS 2010) stated that "UK researchers represent excellence in continuous‚ stochastic and combinatorial optimisation... in particular‚ UK work on hyper-heuristic methods is world-leading and has had a significant impact." The mathematical aspects of operational research have received significant support from EPSRC in recent years. The LANCS Initiative‚ a Science and Innovation award‚ has led to increased capacity at the four universities
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for each product can be decreasing. We present a cluster-based heuristic algorithm that can incorporate both variance reduction techniques from the simulation literature and the principles of a generalized maximum flow algorithm from the network optimization literature. © 2005 Wiley Periodicals‚ Inc. Naval Research Logistics 53: 137–150‚ 2006 Keywords: capacity planning; stochastic demand; simulation; submodularity; semiconductor industry 1. INTRODUCTION Because highly volatile demands and
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pp. 461–484 ARCHITECTURAL LAYOUT DESIGN OPTIMIZATION JEREMY J. MICHALEKa‚*‚ RUCHI CHOUDHARYb and PANOS Y. PAPALAMBROSa a Optimal Design Laboratory‚ Department of Mechanical Engineering‚ University of Michigan‚ Ann Arbor‚ Michigan 48109-2125‚ USA; bCollege of Architecture and Urban Planning‚ University of Michigan‚ Ann Arbor‚ Michigan 48109-2125‚ USA (Received 28 August 2001; In final form 26 February 2002) This article presents an optimization model of the quantifiable aspects of architectural
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fast and slow moving consumables and repairable spares and service parts. ERP and CMMS integration supported and rapid solution deployment through the hosted solution. liz.thompson@armacsystems.com Service Planning and Optimization Suite - The SPO (Service Planning and Optimization) Suite of products is the industry leading solution for forecasting and planning of service parts. Customers include industry leaders such as Cisco System‚ KLA-Tencor‚ and Boeing‚ with return on investment acheived within
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