The ability to create groups of reports, and grant users access to reports by group. The ability to generate reports as PDF, XLS, HTML, and CSV files. The ability to generate bar, pie and xy charts for inclusion in reports. The ability to schedule and email PDF, XLS, and CSV reports. The ability to define reusable report parameters. Available parameter types include Date, Text, and Query Parameters. The ability to create multiple DataSources for use in generating reports. Support for JNDI DataSources and internal connection pooling via Commons-DBCP is included. The ability to upload and hot deploy new reports. Web based administration of users, groups, reports, parameters, and datasources. Cross platform database support via Hibernate based persistence layer. Available in a preconfigured bundle with Apache Tomcat.
This toolbox distributes processes over matlab workers available over the intranet/internet (SPMD or MPMD parallel model). It is very useful for corsely granular parallelization problems and in the precesence of a distributed and heterogeneus computer enviroment. No need for configuration files ! Cross platforms, cross OS and cross MATLAB versions. Workers can be added to the parallel computation even if it has started. No need of a common file system, all comms are using tcpip connections
The traffic light is timed and lets cars pass during a
specific time period. There is a pedestrial crossing
button that lets pedestrians cross. The lights are
connected to Port 1. You can see this in action using
dScope.
graspForth is my humble attempt at a Forth-in-C that has the following goals:
GCC ......... to support all 32-bit micros that GCC cross-compiles to.
Relocatable . to be able to run in-place in either Flash or Ram.
Fast ........ to be "not much" slower than an assembly based native Forth.
Small ....... to fit-in approx 300 words in less than 25Kbytes on a 32-bit machine.
Portable .... to achieve a 5 minute port to a new 32bit micro-processor, or micro-controller.
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation.
A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms.
OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible.
OpenCV is free for both non-commercial and commercial use (see the license for details).
OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm
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本文是opencv的入門教程
