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This paper presents a novel approach for the optimal design of a Low Noise Amplifier (LNA) with inductive source degeneration circuit using a novel hybrid optimization technique called fitness based adaptive differential evolution with particle swarm optimization (ADEPSO). The simulation results obtained for the designed LNA confirm the effectiveness of the ADEPSO based approach over PSO in terms...
Multidimensional scaling is a technique for exploratory analysis of multidimensional data, whose essential part is optimization of a function possessing many adverse properties including multi objectivities, multimodality, and non differentiability etc. In this paper, a new algorithm “Minority Charge Carrier Inspired Algorithm” has been proposed. Attempts have been made to carry out detailed analysis...
Interactive visualization requires the translation of data into a screen space of limited resolution. While currently ignored by most visualization models, this translation entails a loss of information and the introduction of a number of artifacts that can be useful, (e.g., aggregation, structures) or distracting (e.g., over-plotting, clutter) for the analysis. This phenomenon is observed in parallel...
A large number of online databases are hidden behind form-like interfaces which allow users to execute search queries by specifying selection conditions in the interface. Most of these interfaces return restricted answers (e.g., only top-k of the selected tuples), while many of them also accompany each answer with the COUNT of the selected tuples. In this paper, we propose techniques which leverage...
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