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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.

设计11位巴克码序列峰值检测器，巴克码相关器原理：巴克码相关器能够检测巴克码序列峰值，并且能够在1bits错误情况下检测巴克码序列峰值。(A 11-bit Barker code sequence peak detector is designed. The principle of Barker code correlator is that the Barker code correlator can detect the peak value of Barker code sequence and detect the peak value of Barker code sequence in the case of 1 bits error.)

drawing program using c#

通过keilc51程序，学习者可以了解车辆控制器局域网（controllerareanetwork，can）信息的传输。

说明：  K近邻算法。(k-Nearest Neighbor，KNN)，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。该方法的思路是：在特征空间中，如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别，则该样本也属于这个类别。(K-nearest neighbor algorithm. K-nearest neighbor (KNN) is a mature method in theory and one of the simplest machine learning algorithms. The idea of this method is: in the feature space, if most of the k nearest (i.e. the nearest) samples near a sample belong to a certain category, then the sample also belongs to this category.)

eemd example for python

基于simulink的pid和预测控制器设计仿真-And projections based on simulink of pid controller design and simulation

该文件夹给出了卷积编码、交织及维特比软译码仿真程序-The folder is a convolutional coding, weaving and Viterbi decoding software simulation program

信息学竞赛星火燎原，成为候选队15人之一乃是所有OI选手梦寐以求的理想。每年15篇论文，指引着该竞赛的最前沿动向，可以给予选手们无限的启迪。阅读并理解其中的经典篇目，是无数OI选手进阶的必由之路。(Informatics competition is sparking and becoming one of the 15 candidates is the dream of all OI players. Fifteen papers a year are the latest trend in the competition, which can give infinite enlightenment to the competitors. Reading and understanding the classics is the only way for countless OI players to advance.)

Test the picture of Lena.