This book is an in-depth exploration into eVB s inherent features, and how to use them to solve likely mobile application programming tasks. After reading the book the reader will be able to write applications tackling a wide array of business problems for Windows CE-powered devices, both customized and for PocketPC and Handheld PC products. This book will help ease the transition into the language, and provide a reference for even more experienced developers.
Abstract
The Lucene Server project is an attempt to extend the Jakarta Lucene tool with server capabilities.
Lucene is a robust Java API that enables you creating indexes from text sources and perform powerful searches on these indexes. With Lucene, creating an index must be done programmatically and there are almost no possibilities of integrating index management in a distributed environment. In other words, out of the box, Lucene is suitable for integrating indexing and searching possibilities in a single application but not for providing index/search services for multiple applications.
The Lucene Server project comes with a Java API that propose the following
make it easy to create indexes in a declarative way by simply providing an XML configuration document.
make it easy to personalize the way Lucene must handle different kind of data sources.
provide services for index management and searching that can be accessed from several applications.
enable batch tasks scheduling.
This cookbook contains a wealth of solutions to problems that SQL programmers face all the time. Recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Each recipe includes a discussion that explains the logic and concepts underlying the solution. The book covers audit logging, hierarchies, importing data, sets, statistics, temporal data, and data structures.
As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.
This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
In recent years, the UNIX operating system has seen a huge boost in its popularity, especially with the
emergence of Linux. For programmers and users of UNIX, this comes as no surprise: UNIX was designed to
provide an environment that s powerful yet easy to use.
One of the main strengths of UNIX is that it comes with a large collection of standard programs. These
programs perform a wide variety of tasks from listing your files to reading email. Unlike other operating
systems, one of the key features of UNIX is that these programs can be combined to perform complicated
tasks and solve your problems.
One of the most powerful standard programs available in UNIX is the shell. The shell is a program that
provides you with a consistent and easy-to-use environment for executing programs in UNIX. If you have
ever used a UNIX system, you have interacted with the shell.
upsd_flash.c
These functions are provided to help you develop your initial code.
They are optimized for speed rather that size. As a result, you will
see very few nested function calls. If speed is not critical, you
can use function calls for common tasks (like dat polling after
writing a byte to Flash) The penalty is the extra processor
time to make the nested calls.
Interface for Microsoft Audio Compression Manager. - Delphi Source
The ACM uses existing driver interface hooks to override the default mapping algorithm for waveform audio devices. This allows the ACM to intercept device-open calls. After a call has been intercepted, the ACM can perform a variety of tasks to process the audio data, such as inserting an external compressor or decompressor into the sequence.
Data_Structures_and_Algorithms - These notes accompany Data Structures and Algorithms II. The course, to a large extent, follows on from
Data Structures and Algorithms I. However, while DS&A I focused on fundamental datastructures, DS&A II
will focus on practical algorithms, applicable to a wide range of tasks. The approach will be somewhat less
formal, with a little more focus on applications.
