advisor2002

In March 2006 an IEEE task group was created to for incorporating mobile multihop relay capabilities in the mobile Wimax standard IEEE 802.16e. This group came up with an amendment to the 16e standard which is called 802.16j. This amendment is fully backward compatible. The addition of relay capability does not affect the design of MS unless MS has to exploit some optional features such as receive diversity. The BS needs to change slightly and is called MR-BS to differentiate it from BS with no MMR capabilities.

This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Comparison. 1. Faster than MATLAB s internal kmeans function. 2. Consistant Output than internal kmeans. 3. 100 convergence.

混合相似度故障诊断，用在田纳西过程中的一种监控算法，效果很好很新颖(Mixed similarity fault diagnosis in Tennessee process)

Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.

实用化工计算机模拟：MATLAB在化学工程中的应用(Practical Chemical Computer Simulation: MATLAB in chemical engineering)

argox cp-3140的Visual C#测试用例。(argox cp-3140 Visual C# test example。)

自己搭建的dc/dc变换器 ，里面采用PID法进行控制(To build their own dc/dc converter, which uses the PID control)

基于Matlab的卡尔曼滤波器的实现与仿真代码，验证成功(Based on Matlab Kalman filter implementation and simulation code, the validation is successful)

自己实现的rgb2hsv和hsv2rgb函数(the funtions of rgb2hsv and hsv2rgb written by myself)

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)