TABLE OF CONTENTS The brief description of research projects collected from IEEE journals, Research Labs and Universities are given in this appendix.
It is often required to know the contamination of process water systems from known contaminants e.g., oil, heavy metals, or particulate matter. Most of the governments are forcing rules to monitor the output water from all industrial plants before they may be discharged into existing steams or waterways. There is therefore a clear need for a sensor that is capable of effectively monitoring these output discharges. Optical fibers provide a means of constructing such sensors in an effective manner. Optical fibers are passive and therefore do not them selves contaminate the environment in which they are designed to work. The proposed sensor system is to be operated from and LED or broadband light source and the detector will monitor changes in the received light spectrum resulting from the interaction of the fibre sensor with its environment. The signals arising from these changes are often complex and require large amounts of processing power. In this proposed project it intended to use Artificial Neural Networks to perform the processing and extract the true sensor signal from the received signal.
It is proposed to develop an intelligent instrument for quality monitoring and classification of food products in the meat processing and packaging industry. The instrument is intended...
