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Graduate Projects


Project ID: 286
Author: Rajitha Peddulla
Project Title: Web Based Decision Support System using Artificial Intelligence for Treating Industrial Waste Water
Semester: Fall 2007
Committe Chair: Dr. Longzhuang Li
Committee Member 1: Dr. David Thomas
Committee Member 2: Dr. Hongyu Guo
Project Description: Proper industrial waste water treatment is essential to meet the stringent environmental regulations in a cost efficient manner. Unfortunately, many of these methods are poorly understood or not utilized by industrialists, often because of the limited number of chemical engineers/environmentalist available. Developing a Web based artificial intelligence system for treating industrial waste water (WAITIW)can effectively replace the limited trained man power. Several inherent disadvantages of a human expert like round the clock availability and easy accessibility can be addressed with this new Web based system. The proposed WAITIW consists of fixed set of rules, representing the different kinds of industrial waste water conditions (based on composition or content). These rules and facts are supplied to the JESS rule engine that performs pattern matching. When a set of facts matches a pattern the rule corresponding to the facts is fired or executed.
Project URL:   286.pdf