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    INTRODUCTION 1.1 Project Description The Internet has given Dell to grow revenues without suddenly increasing customer service costs. Dell has linked electronically by the Internet to network as a “virtual company” or value web in order to capitalizing its reputation as an e-commerce pacemaker. Dell’s alteration of using the virtual company approaches is to expand its business scope without making a major acquisition. Therefore‚ Dell are aimed that e-commerce efforts can improves their efficiency

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    Matching Dell Case Analysis a. How and why the PC industry has such a low average profitability? The PC industry has started to develop fast in the 80’s when IBM launched its first PC series and later on when numerous small companies entered the market. PC is a new product and companies had to create the demand to it from the scratch. We shall apply the Porter’s 5 Forces model to examine the PC market and see how forces of competition influence the profitability of the market players. Entrance

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    An investigation of Dell and Hewlett Packard’s business models: How is competitive advantage created? Introduction: Dell and Hewlett Packard (HP) are two of the most influential companies in the PC market. The CEO of HP requires an understanding of how dells strategy allows it to achieve a competitive advantage so that he/she can counteract it. This report has been carried out to provide the CEO with the necessary information to do this. Therefore the objective of the report is to provide the CEO

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    Dell was founded by Michael S. Dell in the 80s. It grew form a one-man show to be the leading manufacturer and distributor of low-cost PCs today‚ employing more than 40‚000 people worldwide with businesses globally. From the findings‚ we learn about the management style of both‚ Michael S. Dell‚ Kevin B. Rollins and his management. At start‚ Mr. Dell was seen as aloof and Mr. Rollins as autocratic. Trying to improve the company‚ Mr. Dell took step to enhance relationship with their team. In order

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    features and additions. Dell‚ Inc. began in 1984‚ when then freshman pre-med student Michael Dell used $1000 dollars to fund PC’s Limited. Working in an off-campus dorm room at the

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    COMPANY BACKGROUND Dell traces its origins to 1984‚ when Michael Dell created PCs Limited while a student at the University of Texas at Austin. The dorm-room headquartered company sold IBM PC-compatible computers built from stock components. Dell dropped out of school in order to focus full-time on his fledgling business‚ after getting about $300‚000 in expansion-capital from his family. In 1985‚ the company produced the first computer of its own design‚ the "Turbo PC"‚ which sold for $795. PCs

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    Network Flow

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    network flow OR 215 Spring 1998 Network Flows M. Hartmann STABLE MATCHING PROBLEMS Stable Marriage Problem Propose and Reject Algorithm Bipartite Stable Matching Application: NRMP Linear Programming Formulation Non-Bipartite Stable Matching STABLE MARRIAGE PROBLEM A certain community consists of n men and n women. Each person has a strict preference over members of the opposite sex‚ for example: Bengt: Anita‚ Christine

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    Underst. 114 (2010) 1303–1316. weight‚ IEEE Trans. Circuits Syst. Video Technol. 20 (6) (2010) 792–805. Technol. 20 (1) (2010) 15–26. (2010) 1643–1651. Artificial Intelligence‚ Sydney‚ Australia‚ 1991‚ pp. 1292–1298. Quebec‚ Canada‚ 2002‚ pp. 657–661. matching algorithm‚ Image Vis. Comput. 22 (12) (2004) 983–1005.

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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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    Kinect

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    Baseline B C’ Basic Stereo Matching Algorithm Depth from Disparity X x  x f   z O O z x’ x f • For each pixel in the first image O – Find corresponding epipolar line in the right image – Examine all pixels on the epipolar line and pick the best match – Triangulate the matches to get depth information f Baseline B disparity  x  x  O’ B f z Disparity is inversely proportional to depth‚ z Basic Stereo Matching Algorithm Correspondence

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