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In this paper, Human Visual System (HVS) characteristics are modeled using Lee and Lu's Fuzzy- BP network for the purpose of image watermarking. The Fuzzy-BP network is trained by 27 inference rules comprising of three input HVS features namely luminance sensitivity, edge sensitivity computed using threshold and contrast sensitivity computed using variance. The Fuzzy-BP network block wise produces...
Static Random Access Memories (SRAMs) are present nowadays in all CMOS products in large quantities. Besides, they are often very challenging both on process side (due to small dimensions) and on design side (due to performance request). As a consequence, managing their reliability is of prime importance, though it is quite complex due to their overall complexity. This paper demonstrates a full reliability-based...
Robots play a major role in flexible manufacturing system (FMS) and the performance measure of a robot is one of the critical issues in the design of robotic work cells. Performance measure and selection of robot for an application is usually done based on experience, intuition and at most using the kinematic considerations like workspace, manipulability, etc. This problem has become more cumbersome...
Accurate computation of gun barrel temperature history is necessary to predict the barrel-wear and cook-off. Most of the previous researchers, in their computational models, neglected the variation of thermal conductivity and specific heat of gun metal, with temperature. It is expected to introduce an error in the results. In this work, this error was estimated by incorporating the variation of thermal...
An improved model of our previous work is presented to compute spatial electric potentials in whole body biomodels. This is a distributed modeling scheme that employs symmetric factorization to decrease the memory requirement, reduce run-time overhead, and facilitate analyses of significantly larger biomodels. Such improved full-body modeling will help in the study of bioresponses to electrical stimuli...
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