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With the rapid increase in operating frequency in today's electronic systems such as computers and digital communication systems, VLSI interconnects become one of the critical issues in an overall system design, in recent years, research into the interconnect optimization problem has been very active, and several important progresses have been made. Recent advances in signal integrity oriented optimization...
This paper presents a solid blending method with up to curvature continuities. The method is based on the solution to a vector-valued sixth order partial differential equation containing three parametric variables subjected to solid blending boundary constraints. A simple and efficient method is developed to solve the partial differential equation. The shape of the created blending solids is manipulated...
In this paper, we propose a blending method of varying parametric surfaces. We first discuss governing equations of blending problems of varying parametric surfaces. Then, we demonstrate how to determine varying blending boundary constraints. A closed form solution of the governing equations is developed and employed to generate varying blending surfaces. When primary surfaces change their shape,...
Skin movement modeling is a crucial element for realistic animation of both human and creature characters. In this paper, we are primarily concerned with a special skin movement effect, skin sliding. Although physical properties, such as skin elasticity, are usually regarded important in physical simulation, it often leads to an increasing computational load. A complete physical solution will also...
This paper presents a residential energy and power conservation system that utilizes an optimization model and user side controller. The aim of this paper is to enforce a reduction in the users' current level of consumption and yet minimize any discomfort as the result. An energy usage optimization model is the foundation of this work. It computes a set of directives for a specific user based on the...
In this paper, the recent neural network (NN) approaches to time domain electromagnetic (EM)-based modeling are summarized. Fast and accurate passive EM models can be created using three recent methods, i.e., (equivalent circuit and neural network) EC-NN, (state space equation and neural network) SSE-NN and (equivalent circuit, state space equation and neural network) EC-SSE-NN. Those methods are...
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