A Java web application, based on Struts and Hibernate, that serves as an online running log. Users may enter information about workouts, and can track historical PERFORMANCE and data using web-based charts.
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
This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged.
This is the original code developed for the thesis and so has several problems with it. The BER PERFORMANCE given by the simulations is infact Symbol Error Rate.
This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/PERFORMANCE tradeoffs.
The Staged Event-Driven Architecture (SEDA) is a new design for building scalable Internet services. SEDA has three major goals:
To support massive concurrency, on the order of tens of thousands of clients per node
To exhibit robust PERFORMANCE under wide variations in load and,
To simplify the design of complex Internet services.
SEDA decomposes a complex, event-driven application into a set of stages connected by queues. This design avoids the high overhead associated with thread-based concurrency models, and decouples event and thread scheduling from application logic. SEDA enables services to be well-conditioned to load, preventing resources from being overcommitted when demand exceeds service capacity. Decomposing services into a set of stages also enables modularity and code reuse, as well as the development of debugging tools for complex event-driven applications.
TION
ESD (electrostatic discharge) sensitive device. Electrostatic charges as high as 4000 V readily
accumulate on the human body and test equipment and can discharge without detection.
WARNING!
Although the AD7008 features proprietary ESD protection circuitry, permanent damage may
occur on devices subjected to high energy electrostatic discharges. Therefore, proper ESD
precautions are recommended to avoid PERFORMANCE degradation or loss of functionality.
Huffman 壓縮/解壓算法的ANSI C實現
This archive contains a simple and readable ANSI C implementation of Huffman
coding and decoding. This implementation is not intended to be the best,
fastest, smallest, or any other PERFORMANCE related adjective.
More information on Huffman encoding may be found at:
http://michael.dipperstein.com/huffman
http://datacompression.info/Huffman.shtml
OReilly.Ajax.on.Rails.Dec.2006. ISBN-10: 0-596-52744-6.
Learn to build dynamic, interactive web applications using the two most important approaches to web development today: Ajax and the phenomenally efficient Ruby on Rails platform. This book teaches intermediate to advanced web developers how to use both Ajax and Rails to quickly build high-PERFORMANCE, scalable applications without being overwhelmed with thousands of lines of JavaScript code. More than just recipes, you also get a thorough, low-level understanding of what s happening under the hood.
This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volume. Starting from a heuristic method
of increasing the height-to-width ratio of the cluster histogram, we
develop a novel algorithm – CLOPE, which is very fast and
scalable, while being quite effective. We demonstrate the
PERFORMANCE of our algorithm on two real world
Beginning with an overview of SQL Server 2000, this book discusses online transaction processing (OLTP) and online analytical processing (OLAP), features a tour of different SQL Server releases, and offers a guide to installation. The author describes and demonstrates the changes since SQL Server 7.0, thoroughly exploring SQL Server 2000 s capacity as a Web-enabled database server. Readers are then immersed in advanced database administration topics such as PERFORMANCE optimization and debugging techniques.
