The objective of this projectis to design, model and simulate an autocorrelation
generator circuit using 4-bit LFSR. the register and LFSR will used D flip-flop and some
gates. By the autocorrelation concept, there should be 2 same length vectors, for calculating
the autocorrelation , we have to design the register for storing the original vector and the
shifter for make time delay.
KVM (for Kernel-based Virtual Machine) is a full virtualization solution for Linux on x86 hardware. It consists of a loadable kernel module (kvm.ko) and a userspace component.
Using KVM, one can run multiple virtual machines running unmodified Linux or Windows images. Each virtual machine has private virtualized hardware: a network card, disk, graphics adapter, etc.
The kernel component of KVM is included in mainline Linux, and will appear in Linux 2.6.20.
KVM is open source software.
Cracking the Code - Wireless Programming with J2ME
This book is based on the unique concept of cracking the code and mastering the technology.The technologies covered are J2ME version 1.0.2 and
the applications are also tested on version 1.0.3 Beta.
The goal of this project is to explore the idea of point-based
radiosity, which is a shooting radiosity technique suggested by Mark
Harris at UNC. The primary idea is that features available in
graphics hardware can be utilized to perform radiosity calculations.
Facilities such as flat shading, diffuse lighting, projective
textures, and mipmapping can be used to replace traditional numerical
solutions for radiosity.
The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
