An expert system is designed for determining substation locations and feeder configuration of a distribution system. By incorporating the heuristic rules currently followed by distribution engineers into the knowledge base, the expert system can benefit from system planners' experience in its probem-solving process. To minimize the feeder losses of the distribution plan, a novel approach, usually referred to as the location-allocation method, is proposed to determine substation locations. The expert system is implemented using the artificial language PROLOG and is designed to be used interactively. The developed expert system is applied to the planning of a distribution system in Taiwan. Test results indicate that the expert system is both efficient and user friendly in reaching the final distribution plan.

This note presents a back propagation neural network for PIV image analysis. Unlike the conventional auto-correlation method that identifies one pair of image out of the picture, the proposed network distinguishes all the image pairs in the measurement area and provides different labels for each pair. Experimental investigations show good agreement with the auto-correlation process for the uniform flow measurement, and a 78.1% success ratio for the stagnation flow.

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The trans complex (III), obtained from (Ia), is not stable and isomerizes to the cis isomer (IV), which is again an unstable species and in the chromatographic separation accompanied by (V), the final stable product.