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Visual Studio Project Renamer
For Win9x/NT/2k
By Niek Albers
nieka@daansystems.com
(C)2001 DaanSystems
Homepage: http://www.daansystems.com
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Use with care and on your own risk!
Make backups before you use this program.
Do a rebuild all on your renamed project.
usage: vsrename <oldname> <newname> <dir>
Where:
oldname : The old name of your project (typically the xxx from xxx.dsw)
newname : The new name for your project
dir : The directory tree that holds the project.
The program will replace all occurences of oldname to newname in all
files and rename all filenames that have the old name in it.
It will walk subdirectories.
A simple smtp relay server. Which follows smtp protocol correctly. It receive an email. and relay it out to an email server specified by users.
Platform: unix, linux, windows.
compilation command: g++ smtpr.c -lsocket -lnsl -o smtpr
usage: smtpr <port number> (<relay server>)
pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes.
Abstract—Wireless networks in combination with image
sensors open up a multitude of previously unthinkable sensing
applications. Capable tools and testbeds for these wireless image
sensor networks can greatly accelerate development of complex,
yet efficient algorithms that meet application requirements. In this
paper, we introduce WiSNAP, a Matlab-based application
development platform intended for wireless image sensor
networks. It allows researchers and developers of such networks
to investigate, design, and evaluate algorithms and applications
using real target hardware. WiSNAP offers standardized and
easy-to-use Application Program Interfaces (APIs) to control
image sensors and wireless motes, which do not require detailed
knowledge of the target hardware. Nonetheless, its open system
architecture enables support of virtually any kind of sensor or
wireless mote. Application examples are presented to illustrate the
usage of WiSNAP as a powerful development tool.
The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use "help inference" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use "help gbp_preprocess" and "help gbp" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use "help simulatedAnnealing" from Matlab.
Parses UK Profile 1.05/1.06 Object Carousel and saves files to disk (all
stored under /tmp/cache at the moment). The files are the scripts and
text/image data for MHEG5, the interactive(ish) element of digital TV. At
the moment the MHEG scripts are not parsed, so to duplicate that
interactive experience, speedy usage of "cat" and "xv" is recommended.
This application includes a demo server and client program. You could write your own server launcher and client application by using the SimpleScreenCaptureServer class and the SimpleRemoteScreenCaptureClient class.
usage:
1. Type the following command to launch the server program.
java -jar SimpleCaptureScreenServerDemo.jar portnumber
2. Type the following command to launch the client program. It s a swing-based UI.
java -jar RemoteScreenCaptureClientUI.jar
3. Select Run/Connect menu. Input your server address and port number.
You could just double-click on the RemoteScreenCaptureClientUI.jar to launch the client program if you are using Windows.
This program is written just for fun. :lol: :lol: :lol:
The code on this diskette has been organized by chapter. Each subdirectory
containing listing has a readme.txt describing program usage and any relevent
file formats. The readme will also describe how to compile the target
programs under IBM OS/2 (TM) using the using C Set++ compiler (TM). All programs on
this diskette have been compiled and tested in this environment. The majority
of programs on this diskette should port to other environments with only minor
adjustments. The exception to this are those programs which utilize
presentation manager for graphical display of program data. In particular,
the grid1 programs in \chapt4\backprop\ and \chapt3\ fall into this latter category.
jsp和xml。XML and JSP are two important tools available in producing a web application. This chapter examines the
potential of mixing these two technologies in order to enhance the capabilities of JSP. While this chapter will
cover many things about XML, this chapter will not attempt to teach XML. Instead it focuses on how JSP and
XML can be used together as a highly flexible and powerful tool. In general the usage of XML in these
examples will be kept simple and should cause no problems for users who are starting XML.
