Important soccer tournaments like the World Cup and the European Cup are broadcast to billions of people across the world. Therefore, advertising through billboards surrounding the playing arena in a soccer match is very attractive for promoting the brand image of a company. Analysis of strength and weakness of such an advertisement is helpful for the sponsors since a lot of money is spent on it and due to its potential impact on a large number of viewers at the same time. In this paper, we present a two-stage fuzzy system for analyzing the visual impact of advertisement billboards in soccer telecasts. In the first stage, visual impact of each shot is evaluated. Two parameters, namely, size and duration, of the billboards are considered in the fuzzy rules. After the shot level analysis, results are combined in the second stage to derive an overall visual impact. In both the stages, parameters of the fuzzy set membership functions are tuned using the Particle Swarm Optimization algorithm. The results have been compared against a user survey.

Advertisement billboards placed along the periphery of a soccer field in popular tournaments are used to promote specific products or the brand image of a company. In this paper, we introduce a fuzzy logic based approach for estimating the visual impact of such billboards when broadcasted through the television medium. The present system estimates the persistence effect of a billboard on human mind by using a two stage fuzzy rule based system. In the first phase, a shot level analysis is carried out, which is followed by an inter shot analysis to estimate the overall impact. In both the stages, parameters of the fuzzy set membership functions are tuned using the particle swarm optimization algorithm. The system works on top of a billboard detection system and the results have been compared against a user survey.

Estimation of resistance of power devices has become critical for improving the efficiency of on-chip power-management circuits. In this paper, we present an efficient technique for estimation of resistance of a large lateral power-array layout along with parasitics. We extract a resistive network for metalizations utilizing the finite-element method. The method primarily benefits in terms of computational speed from reuse methodology facilitated by repetitive structure of the metal interconnect layers. Device channels are modeled by linear resistances as the power MOS operates mostly in the linear region. Since we avoid use of heuristic-based lumped models or extrapolation techniques for resistance modeling, a good level of accuracy is achieved.