Numerical techniques for dynamic resistive networks

NUMERICAL TECHNIQUES FOR DIFFERENT THERMAL INSULATION MATERIALS

The objective of this work is to predict the temperature of the different types of walls which are Ferro cement wall, reinforced cement concrete (RCC) wall and two types of cavity walls (combined RCC with Ferrocement and combined two Ferro cement walls) with the help of mathematical modeling. The property of low thermal transmission of small air gap between the constituents of combine materials...

Numerical modeling for nonlinear biochemical reaction networks

Nowadays, numerical models have great importance in every field of science, especially for solving the nonlinear differential equations, partial differential equations, biochemical reactions, etc. The total time evolution of the reactant concentrations in the basic enzyme-substrate reaction is simulated by the Runge-Kutta of order four (RK4) and by nonstandard finite difference (NSFD) method. A...

Dynamic Recofiguration Techniques for Wireless Sensor Networks

Morphisms for resistive electrical networks

This paper presents a notion of morphism for resistive electrical networks. It is obvious that symmetries of a resistive network are (trivial) morphisms and easy to show that they induce a nontrivial quotient (their symmetrizer). We extend this result to arbitrary RESNET morphisms having a common domain (called the pushout in category theory). Our principle application of RESNET morphisms is to...

Techniques for Handling Complexity in Dynamic Belief Networks Techniques for Handling Inference Complexity in Dynamic Belief Networks

Dynamic Belief Networks (DBNs) have been of interest recently as modelling tools for environments that change over time. In such networks, sets of nodes may be added automatically over time to represent current and future states. DBNs are typically multiply connected, and inference complexity is the biggest barrier to successful use. In this paper, we present both exact and heuristic techniques...