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Low cost diagnosis of RF systems has become an important problem due to increased process variability effects on the performance of RF devices and the need to ramp-up RF IC yield rapidly. In the recent past, there has been work on diagnosing RF device model parameters from random “frequency-rich” test stimulus. In this paper, we develop a novel test stimulus generation approach which produces a compact,...
Test time and test complexity reduction has become a critical challenge in modern RF testing. Prior “alternative” test methods have achieved fast testing at the cost of using supervised learning algorithms that require “training”. In contrast, behavioral model parameter estimation based test methods require the use of accurate models but no “training”...
This paper proposes a systematic method for reactive loss optimization using Genetic Algorithm (GA) and load flow analysis for deregulated transmission systems. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. In this paper, in genetic algorithm, the loss optimization using equivalent optimal power flow model has been treated...
This paper proposes a systematic method for evaluation of optimal spot prices using genetic algorithm as well as classical method. Spot pricing of electricity in a power system was proposed during early eighties considering unit generation and consumer usage as decision variables. With restructuring followed by deregulation, a number of players have started participating in the competitive power market...
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