54组章子涵-李旺泽-金灿

这是一个粒子群算法，比较简单，已经在运行过了，对于初学者比较好用。-This is a particle swarm algorithm is relatively simple, has been run over, and relatively easy to use for beginners.

SAR成像算法chirp-scaling(SAR Imaging algorithm --chirp-scaling)

一种基于局部密度的离群检测方法，一篇神经计算期刊的源代码，转自GitHub(An outlier detection method based on local density, a source code of a neural computing journal, transferred from GitHub)

说明：  用粒子群算法处理带约束问题，处理约束条件使用的是罚函数法，代码中附有中文注释，txstA.txt文件是约束函数的系数组成的矩阵(Particle swarm algorithm is applied to deal with the constrained problem. The penalty function is applied to deal with the constraint condition. The code is accompanied by Chinese annotation. The txstA.txt file is the matrix of the constraint function's coefficient.)

华大MCU HC32F005示例代码 华大半导体MCU事业部隶属于华大半导体有限公司，承接CEC集团工业控制转型升级使命，专注于发展MCU芯片与解决方案，围绕超低功耗芯片和电机芯片应用场景，有针对性地推出芯片系列和专业的应用方案，帮助客户以最具性价比的优势迅速占领市场。(HC32F005 SAMPLE CODE)

说明：  自建词典的开发界面和底层数据库操作整个包上载(The development interface of the self-built dictionary and the operation of the underlying database for the whole package upload)

菜单实用工具-practical tools menu !!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!! !!!!

说明：  Using C + + language and TeeChart control to draw dynamic curve and realize real-time curve 用C++语言和TEECTAL控件绘制动态曲线实现实时曲线(Using C + + language and TeeChart control to draw dynamic curve and realize real-time curve)

dos7.0　　可以用作启动盘，并且是自动做成磁盘启动，大家可以用一下-dos7.0 can be used as a boot disk, and is activated automatically create disk, we can use this

说明：  Noguchi, Hiroshi & Mori, Taketoshi & Sato, Tomomasa. (2011). Human daily behavior accumulation in real home environment via distributed sensors in a long term. This paper reports the case study about long-term sensor data accumulation of natural human behavior in a real home environment. Human behavior measurement in long term and in the real environment is difficult because of devices, software and system problems. We rented an apartment and introduced 4 sensor modules (pyroelectric sensor module, proximity sensor module, electric current sensor module and LRF module) into the rooms. The systems for data collection from modules, database system for long-term accumulation and sensor data visualization software for behavior annotation are also developed. We measured the sensor data during 4 years continuously. This data will assist to develop methods for typical behavior extraction, behavior recognition and anomaly behavior detection.