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In this paper, we have explored the impact of different gate architectures in controlling short channel effects in scaled AlGaN/GaN HEMT devices using calibrated 2-D TCAD simulations. Devices with different gate topologies, namely I-Gate and T-Gate are investigated for their efficacy in minimizing the short channel effects. Various parameters like transconductance, channel conductance and drain induced...
We present a TCAD process and analytical model based simulation analysis to investigate the effect of different stressors on nanowire FETs. We have utilized stress profiles extracted from TCAD process simulations and calculated mobility enhancement using the second-order piezoresistive model. Our analysis includes strained CESL and strained gate fill material for a gate-last process. Our process simulations...
This paper explores the construction and use of rule-based advisory systems for diagnostics and maintenance of UPS. The task of advisory system is to aid in solving defined problems by recommending the solution from the knowledge base. It contains the whole knowledge necessary for addressing diagnostic and repair problems. The advisory system shall analyze the current state of the UPS and give advice...
KNN is amongst the simplest top ten classification algorithm of data mining. Being effective and efficient it has some drawbacks which cannot be overlooked. Moreover, real world data is fuzzy in nature. To overcome this drawback fuzzy KNN was introduced which was based on fuzzy membership. But, it had large time complexity as the membership is calculated at the classification period. To improve this,...
KNN (k-nearest neighbor) is an extensively used classification algorithm owing to its simplicity, ease of implementation and effectiveness. It is one of the top ten data mining algorithms, has been widely applied in various fields. KNN has few shortcomings affecting its accuracy of classification. It has large memory requirements as well as high time complexity. Several techniques have been proposed...
The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence...
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