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RSS订阅原创 无限进制转换
无限进制转换(*//标题 : 无限进制转换 说明 : 使用于数学领域进制之间相互转换 设计 :Zswang日期 :2002-01-24支持 :[email protected]//*)///////Begin Sourceconst cScaleChar = 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ;function In
2004-10-16 16:30:00
1111
原创 Delphi中延时
当前位置：Delphi园地 → 技巧文章 → 编程心得 → Delphi中延时 Delphi中延时 日期：2004年8月31日 作者： procedure Delay(msecs:integer);varFirstTickCount:longint;beginFirstTickCount:=GetTickCount;repeatApplication.ProcessMessages;u
2004-10-16 16:28:00
821
TeeChart 2015.15.150420 D4-XE8 full source 源码版
TeeChart v2015
Copyright (c) 1995-2015 by Steema Software.
All Rights Reserved.
http://www.steema.com
Support forum: http://support.steema.com
Wishes and issues: http://bugs.teechart.net
Email: [email protected]
===============================================
Release Notes 20th April 2015
TeeChart VCL/FMX version 2015
Build 2015.15.150420
New Features:
--------------------------
This version adds full support for RAD Studio,
Delphi and C++ Builder XE8. For a full list of
new functionality and properties implemented
please visit
http://www.steema.com/linkIn/WhatsNewVCL
Bugfixes/changes:
-------------------------
Brand new installer for all IDEs. It downloads
and installs required components on demand.
For a full list of all fixed bugs please visit
http://tinyurl.com/TeeChartVCLFMX-2015-15-150420
===============================================
2015-12-24
恒亿最新HighEasy编码卡及矩阵解码卡SDKV4.4
2 SDK及版本更新说明
2．1 版本更新说明
2011/08/12 SDK ver4.4.0
添加内容:
1. 增加了对新型号板卡1704HF-H/1708HC-H/1716HS-H的支持。
2013-04-22
海康客户端IE插件
海康客户端IE插件 3.0.22.0
注意：
本插件视频服务端口为TCP 5050，请务必开启，否则接收不到图像。
页面引用OCX的代码：
<HTML>
<Body>
注意：服务端只有注册成为正式版后，IE插件客户端才可观看视频！
</Body>
<OBJECT
classid="clsid:6F9A4C12-6897-40BE-8F35-CD27A51FC8C5"
width=640
height=480
align=center
hspace=0
vspace=0
>
<!-- 视频服务器IP地址，支持域名解析，若为域名必须以www开头 -->
<!-- 当前通道号（值0-64） -->
<!-- 是否全屏（值0-1），1为全屏显示 -->
<!-- 是否自动播放（值0-1），1为自动播放 -->
</OBJECT>
</HTML>
测试时需要开通视频服务请联系QQ：366733082
2012-07-24
海康高清电视DELPHI源码
先安装“用到的控件”文件夹内的两个控件再编译代码。
更新最新版HIK SDK2请打开链接：
http://www.prowt.com/soft/downloadsoft.asp?url=1&softid=44
或登录：
http://www.prowt.com/soft/showsoft.asp?id=44
http://www.prowt.com/SDK2/
2012-07-24
虚拟串口软件vspd
增加串口数量，vspd 一次 虚拟2个串口，一个读，一个发，调试串口好工具。
可以虚拟2个串口然后连接起来实现自发自收调试
让你的程序读一个串口，另外一个串口你就用来串口调试工具发
vspd 是很好的工具！编程时使用非常的方便。
VSPD是Virtual Serial Port Driver的简写，本软件由著名的软件公司Eltima制作，软件来自官方网站，压缩包里含有注册的Dll，可以无限制的使用。本软件运行稳定,允许你去模仿多串口像你希望的那样而支持所有的设置和信号线仿佛那是真正的COM端口。
2012-07-24
delphi算法集源码
第1章线性代数方程组的解法
1.全主元高斯约当消去法
2.LU分解法
3.追赶法
4.五对角线性方程组解法
5.线性方程组解的迭代改善
6.范德蒙方程组解法
7.托伯利兹方程组解法
8.奇异值分解
9.线性方程组的共轭梯度法
10.对称方程组的乔列斯基分解法
11.矩阵的QR分解
12.松弛迭代法
第2章插值
1.拉格朗日插值
2.有理函数插值
3.三次样条插值
4.有序表的检索法
5.插值多项式
6.二元拉格朗日插值
7.双三次样条插值
第3章数值积分
1.梯形求积法
2.辛普森求积法
3.龙贝格求积法
4.反常积分
5.高斯求积法
6.三重积分
第4章特殊函数
1.г函数、贝塔函数、阶乘及二项式系数
2.不完全г函数、误差函数
3.不完全贝塔函数
4.零阶、一阶和任意整数阶的第一、二类贝赛函数
5.零阶、一阶和任意整数阶的第一、二类变形贝赛函数
6.分数阶第一类贝赛尔函数和变形贝赛尔函数
7.指数积分和定指数积分
8.连带勒让德函数
第5章函数逼近
1.级数求和
2.多项式和有理函数
3.切比雪夫逼近
4.积分和导数的切比雪夫逼近
5.有切比雪夫逼近函数的多项式逼近
第6章特征值问题
1.对称矩阵的雅可比变换
2.变实对称矩阵为三对角对称矩阵
3.三对角矩阵的特征值和特征向量
4.变一般矩阵为赫申伯格矩阵
5.实赫申伯格矩阵的QR算法
第7章数据拟合
1.直线拟合
2.线性最小二乘法
3.非线性最小二乘法
4.绝对值偏差最小的直线拟合
第8章方程求根和非线性方程组的解法
1.图解法
2.逐步扫描法和二分法
3.割线法和试位法
4.布伦特方法
5.牛顿拉斐森法
6.求复系数多项式根的拉盖尔方法
7.求实系数多项式根的贝尔斯托方法
8.非线性方程组的牛顿拉斐斯方法
第9章函数的极值和最优化
1.黄金分割搜索法
2.不用导数的布伦特法
3.用导数的布伦特法
4.多元函数的下山单纯形法
5.多元函数的包维尔法
6.多元函数的共轭梯度法
7.多元函数的变尺度法
8.线性规划的单纯形法
第10章傅里叶变换谱方法
1.复数据快速傅里叶变换算法
2.实数据快速傅里叶变换算法一
3.实数据快速傅里叶变换算法二
4.快速正弦变换和余弦变换
5.卷积和逆卷积的快速算法
6.离散相关和自相关的快速算法
7.多维快速傅里叶变换算法
第11章数据的统计描述
1.分布的矩——均值、平均差、标准差、方差、斜差和峰态
2.中位数的搜索
3.均值与方差的显著性检验
4.分布拟合的X平方检验
5.分布拟合的K-S检验法
第12章解常微分方程组
1.定步长四阶龙格库塔法
2.自适应变步长的龙格库塔法
3.改进的中点法
4.外推法
第13章偏微分方程的解法
1.解边值问题的松驰法
2.交替方向隐式方法
这些算法将为千千万万非计算机专业的工程技术人员架起一座方便快捷的桥梁，
并能缩短应用软件的编制周期，减少重复劳动，达到事业功倍的效果。
2012-07-24
RxLib控件包，包含RxGIF组件，全部源码及DEMO
RX Library 2.75 with Delphi 2009 support (by FlexGraphics software)
======================================================================
The Set of Native Delphi Components for Borland Delphi
versions 1, 2, 3, 4, 5, 6, 7, 2005, 2006, 2009 and
Borland C++ Builder 1, 3, 4, 5, 6, 2006 & 2009. 100% Source Code.
............
2012-01-12
RxLib控件包内含RxGIF，全部源码及DEMO
RX Library 2.75 with Delphi 2009 support (by FlexGraphics software)
======================================================================
The Set of Native Delphi Components for Borland Delphi
versions 1, 2, 3, 4, 5, 6, 7, 2005, 2006, 2009 and
Borland C++ Builder 1, 3, 4, 5, 6, 2006 & 2009. 100% Source Code.
Last revision date Oct 12, 1999.
PLEASE FOLLOW THE INSTRUCTIONS PROVIDED IN THE INSTALLATION SECTION!
TABLE OF CONTENTS
-----------------
Latest Changes
Overview
History
License Agreement
Installation
Demonstration Programs
Source Files
Using GIF Images
Copyright Notes
NEW FOR VERSION 2.75
--------------------
Delphi 5.0 & C++Builder 4.0 Compatibility
New components:
TRxLoginDialog
New properties, events:
TFormPlacement.RegistryRoot
TFormPlacement.Version
TFontComboBox.UseFonts
TRxDBGrid.OnTopLeftChanged
TRxDBLookupCombo.DisplayValues
TStrHolder.Macros, TStrHolder.OnExpandMacros
RxSpin.TValueType.vtHex
New routines, methods, constants:
SaveClipboardToStream, LoadClipboardFromStream (clipmon.pas)
AppFileName, AppVerInfo (rxverinf.pas)
XorString, XorEncode, XorDecode (strutils.pas)
BUG FIXES.
Overview
--------
This version is the result of long unactivity of RX Library authors and
some imperfections and bugs of other RX adaptations to Delphi 6.
The authors of this version disclaim all warranties as to this software,
whether express or implied, including without limitation any implied
warranties of merchantability or fitness for a particular purpose. Use
under your own responsibility, but comments (even critique) in English
(or in Russian) are welcome.
RX Library contains a large number of components, objects and routines
for Borland Delphi with full source code. This library is compatible
with Borland Delphi 1, 2, 3, 4, 5, 6 and Borland C++ Builder 1, 3, 4.
This collection includes over 60 native Delphi components.
RX Library is a freeware product. Feel free to distribute the library as
long as all files are unmodified and kep
2012-01-12
用于人脸识别的NMF分解程序,用MATLAB编写的
----------------------------------------------------------------------------
README file for nmfpack
----------------------------------------------------------------------------
Patrik Hoyer
August 03, 2006
Version 1.1
This Matlab package implements and tests various versions of non-negative
matrix factorization (NMF). This package is associated with the article:
Patrik O Hoyer.
'Non-negative matrix factorization with sparseness constraints'
Journal of Machine Learning Research 5:1457-1469, 2004.
IF YOU USE THIS PACKAGE IN PUBLISHED RESEARCH, PLEASE CITE THE ABOVE
PAPER. THANKS!
----------------------------------------------------------------------------
Version history
----------------------------------------------------------------------------
1.0 Aug 25, 2004 Original version.
1.1 Aug 03, 2006 Modifications/improvements:
- Included the ORL face dataset, with permission
- Now automatically rescales the data so as to
avoid overflow/underflow numerical problems
- Included an alternative to using 'imread' to
read the pgm image files.
- Improved the documentation somewhat
----------------------------------------------------------------------------
Acknowledgements
----------------------------------------------------------------------------
I would like to thank Fabian Theis for contributing the pgma_read function,
and Daniel Felps for pointing out that the face databases are no longer
available on the net. I also thank Alastair Beresford who, on behalf of
AT&T Cambridge Laboratories, granted me permission to include the ORL
face image database in the package.
Several people reported some problems with 'projfunc' producing imaginary
values. This problem arises when the scale of the entries in the data matrix
is too large. Thus, as of v1.1, I now renormalize the input matrix before
starting computation. Thanks for reporting the problems.
----------------------------------------------------------------------------
List of contents of package
----------------------------------------------------------------------------
code/
main.m - main file for all NMF experiments
nmfdiv.m - performs standard NMF with divergence objective
nmfmse.m - performs standard NMF with euclidean objective
nmfsc.m - performs NMF with sparseness constraints
lnmf.m - performs Local NMF
snmf.m - performs Sparse NMF
projfunc.m - implements the L1/L2-norm projection
projtest.m - tests the efficiency of the projection operator
visual.m - displays an array of images
cbcldata.m - reads the CBCL data (assuming it has been downloaded)
orldata.m - reads the ORL data (assuming it has been downloaded)
natdata.m - reads natural image data preprocessed into ON/OFF channels
sampleimages.m - takes random patches from the natural image set
pgma_read.m - reads PGM image files (alternative to 'imread')
results/ - directory for storing results of various algorithms
data/
cbcl-face-database/ - [put the cbcl data here after downloading]
orl-faces/ - ORL face image database
IMAGES.mat - natural images, high-pass filtered, provided
by Bruno Olshausen as part of his 'sparsenet'
matlab package
----------------------------------------------------------------------------
Using the package
----------------------------------------------------------------------------
DOWNLOADING THE CBCL FACE IMAGE DATABASE
If you wish to perform the CBCL data experiments, start by downloading
the images. The database can be found at:
http://cbcl.mit.edu/cbcl/software-datasets/FaceData2.html
These database should be uncompressed and put into its corresponding
data directory. The directory structure should look like this:
data/
cbcl-face-database/
README
face/
face00001.pgm
[...]
face02429.pgm
non-face/
[...]
orl-faces/
README
s1/
[...]
s40/
Once you have the data installed, you are ready to start running
experiments.
RUNNING THE NMF EXPERIMENTS
All experiments using the various versions of NMF are run by calling
>> main('learn', expnum);
where expnum is the number of the experiment. This number determines the
dataset to be used, the algorithm to be applied, and the settings of
all parameters. The expnum is decoded in the beginning of main.m, where
you can inspect which experiments have which number and you can add your
own.
Please note that the learning phase never terminates! You have to
terminate it yourself. I usually keep a second Matlab session open
from which I can inspect the progress of the algorithm while it's
running. From this second Matlab session, calling
>> main('show', expnum);
shows the evolution of the objective function, the current basis images,
and some statistics of the representation (from top to bottom:
utilization of the components, sparseness of basis images, and sparseness
of the coefficients).
The following settings duplicate the results of the paper 'Non-negative
Matrix Factorization with sparseness constraints':
Figure Corresponding
in paper: expnum:
---------------------
1a 1
1b 101
1c 201
3a 11
3b 12
3c 13
4a 133
4b 134
4c 131
5 231
USING THE NMF FUNCTIONS DIRECTLY
Of course, your data might not be image data, and you might not want
to use the interface provided by main.m. In this case, call the various
NMF routines directly. Again, note that there are no convergence
criteria built in, but you can monitor the representation during
learning because the routines save the results to disk periodically.
USING/TESTING THE PROJECTION OPERATOR
To reproduce Figure 6 in the paper, run projtest.m. It requires no
parameters.
To use the projection function, just call projfunc directly. Have a
look at the file, the syntax should be self-explanatory.
----------------------------------------------------------------------------
Problems?
----------------------------------------------------------------------------
In case of questions or problems, do not hesitate to contact me,
preferrably by email at [email protected]. However, I would
appreciate it if you would take the time to examine the code a little
and try to figure out the problem yourself. If you cannot figure it
out, at least try to provide as much info as possible on the nature of
the problem (including your exact commands and the error messages), so
that I can have a chance to help you.
----------------------------------------------------------------------------
Disclaimer
----------------------------------------------------------------------------
This software and data is provided as-is, and there are no guarantees
that it fits your purposes or that it is bug-free. Use it at your own
risk!
2011-12-23
基于Matlab 直方图Histogram的人脸识别程序
Algorithm Description
Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially, this idea was based on color histograms that were launched by swain [1]. This algorithm presents the first part of our proposed technique named as “Histogram processed Face Recognition” [2]
For training, grayscale images with 256 gray levels are used. Firstly, frequency of every gray-level is computed and stored in vectors for further processing. Secondly, mean of consecutive nine frequencies from the stored vectors is calculated and are stored in another vectors for later use in testing phase.
This mean vector is used for calculating the absolute differences among the mean of trained images and the test image. Finally the minimum difference found identifies the matched class with test image.
Recognition accuracy is of 99.75% (only one mis-match i.e. recognition fails on image number 4 of subject 17)
[1] M. J. Swain and D. H. Ballard, “Indexing via color histogram”, In Proceedings of third international conference on Computer Vision (ICCV), pages 390–393, Osaka, Japan, 1990.
[2] Fazl-e-Basit, Younus Javed and Usman Qayyum, "Face Recognition using processed histogram and phase only correlation ", 3rd IEEE International Conference on Emerging Technology pp. 238-242
2011-12-23
非常精美的工业控制控件库iocomp
非常精美的工业控制控件库iocomp
一组开源的工控控件delphi编写，支持BCB6，Delphi，Vs等-A set of open source industrial control delphi prepared to support BCB6, Delphi, Vs, etc.
2011-12-23
基于WinCE的大型触摸屏控制器的设计与实现
江南大学
硕士学位论文
基于WinCE的大型触摸屏控制器的设计与实现
姓名：张飞
申请学位级别：硕士
专业：控制理论与控制工程
指导教师：白瑞林
20080601
2010-11-03
dxmlrpc-2.0.0
xml的一个插件 可以当WebService使包括client和server-xml can be a plug-WebService including client and server
2010-10-25
管网平差软件epanet 2.0(汉化版)
可以进行管网平差、管网水力模拟和建立水质模型的软件
到美国环保署的网页下载
http://www.epa.gov/nrmrl/wswrd/dw/epanet.html#downloads
2010-10-25
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