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Telecommunications network operators require accurate and consistent records relating to the equipment installed in the network. Currently, many records are held on paper-based maps, particularly for networks using older technologies. Automated planning tools are now being more widely employed by network operators to plan and design new networks. Phillip Tann is currently completing his PhD while teaching students to Masters degree level in Networking at the University of Sunderland. He will describe a prototype system that converts paper-based records into the appropriate format necessary for computer-based planning. Novel algorithms based on Evolutionary Computing methods and Artificial Neural Networks are incorporated in this image processing system. Phillip will discuss the human and machine analogy with consideration to qualitative and quantitative image recognition. He will describe a system employing the Java language as the encompassing framework of evolutionary computing. Phillip has previously worked in engineering within the nuclear, petrochemical and pharmaceutical industries. Some of the projects he undertook were located at the atomic weapons research establishment, BP/Shell off shore installations and the pharmaceutical industry. He has also worked part time for the British army on their multi rocket launching systems and could graze a cow on the town moor (unfortunately he doesn't have one at the moment). |
Thursday, 1st April 2004 at 6:30 PM. THE BRITISH COMPUTER SOCIETY |
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