霍尼威尔PPT-智能压力传感器及其应用

说明：  lammps实例，水在铜表面的蒸发模拟，in文件示例(Example of lammps, evaporation simulation of water on copper surface, example of in file)

windows平台下端口开发工具,可以在visual studio .net中开发的工具包。-windows platform port development tools, in the visual studio. net developed the tool kit.

根据光伏电池的数学模型搭建的Simulink仿真模型，MPPT算法采用的是基于占空比可调的扰动观察法，仿真结果表明该算法能够很好地跟踪最大功率点。(The model is established in Simulink based on the mathematical model of photovoltaic cell. Disturbance observation method based on adjustable duty cycle. It is proved that MPPT can be realized by using this method.)

说明：  利用python+opencv测量图片中目标物体之间的距离(Measuring distance between objects in an image with OpenCV)

说明：  利用 Ｑｕａｒｔｕｓ　ＩＩ和 ＭｏｄｅｌＳｉｍ 软件，基于 ＥＰ２Ｃ３５芯片 ＦＰＧＡ 开发平台，通过 Ｖｅｒｉｌｏｇ－ＨＤＬ语言，完成了 Ｏ－ＱＰＳＫ 调 制解调器的设计。该设计具有结构简单占用芯片面积少便于生成ＩＰ核等优点。 电路与系统的仿真结果表明，所预期的功能均已实现，该方法适合在无线传感器 网络及低功耗通信集成电路设计中应用。(Using QuartusII and Modelsim software, based on ep2c35 chip FPGA development platform, the O-QPSK modem is designed by Verilog-HDL language. The design has the advantages of simple structure, less chip area and easy to generate IP core. The simulation results of the circuit and the system show that the expected functions have been realized, and the method is suitable for the design of wireless sensor networks and low-power communication integrated circuits.)

说明：  icepak高级建模教程，包括理论、实例。非基础类。(Icepak advanced modeling tutorial, non-basic class.)

JSP上传文件类-JspSmartUpload实例,JspSmartUpload 上传类，在JSP中进行文件上传的类，内含文档和使用例子。

鲁棒控制问题的线性矩阵不等式的解法，从理论到程序，自学很好用，希望对大家有帮助。还有一个看书的小程序。希望有用。(Robust control problem of linear matrix inequality solution, from theory to procedures, self-learning, very useful, and I hope to help everyone. There is also a small program to read. Hope useful.)

说明：  虽然 AdaBoost 算法的检测速度快，误识率低，但是在样本的权重更新过程中，对于分类错误样本中的正、负样本没有加以区分，不利于提高正样本的识别率。本文提出一种新的权重更新方法，对于分类错误的样本，对判断错误的正样本给更高的权重，使得算法在下一轮迭代时，更加关注对分类错误的正样本的学习，从而提高对正样本（人眼）的检测率。采用基于最小二乘法对眼部的外轮廓进行椭圆拟合，根据拟合椭圆的参数来判断眼睛的睁闭状态；采用结合 PERCLOS 和眨眼频率的方法，对疲劳状态进行检测。(Although AdaBoost algorithm has fast detection speed and low false recognition rate, in the process of sample weight updating, there is no distinction between positive and negative samples in classification error samples, which is not conducive to improving the recognition rate of positive samples. In this paper, a new weight updating method is proposed, which gives higher weight to the positive samples of classification errors, so that the algorithm pays more attention to the learning of the positive samples of classification errors in the next iteration, so as to improve the detection rate of the positive samples (human eyes). Based on the least square method, the eye contour is fitted with ellipse, and the opening and closing state of eyes is judged according to the parameters of fitting ellipse; the fatigue state is detected by combining PERCLOS and blinking frequency..)

用于复杂大尺度网络对齐，来源于密歇根大学的项目(For large-scale complex network alignment, from project of University of Michigan.)