Develop a sample application using LINQ programming and the ADO.NET Entity Framework with IBM DB2, IDS, and U2 servers
The IBM Data Server Provider for .NET enables application developers to take advantage of the Microsoft? Entity Framework and LINQ. You can easily develop data access .NET applications using one of the IBM data servers (DB2, Informix Dynamic Server, or U2), the Microsoft ADO.NET Entity Framework, and LINQ. This article shows you how to get started using the Entity Framework with one of the IBM data servers, walking you step-by-step through the process of creating your own application.
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The WSIT Tutorial For Web Services Interoperability Technologies
THIS tutorial explains how to develop web applications using the Web Service Interoperability Technologies (WSIT). The tutorial describes how, when, and why to use the WSIT technologies and also describes the features and options that each technology supports.
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Introduction to iPhone Application Development
Objectives
Simple introduction to iPhone Development.
Point out key differences of Objective-C to ActionScript 3 or Flex.
Help you to get past the initial barrier to get started.
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iPhone Development Guide - Development Environments: Xcode
To develop iPhone applications, you use Xcode, Apple’s first-class integrated development environment (IDE). Xcode provides all the tools you need to design your application’s user interface and write the code that brings it to life. As you develop your application, you run it on your computer, an iPhone, or an iPod touch.
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A SYSTEM FOR IMAGE COMPRESSION USING WAVELETS AND GENETIC PROGRAMMING
In more recent studies, Genetic Programming has been shown to be useful when used in Image Compression. The major idea is to evolve a set of genetic programs which will output the image, and therefore storing references to this set of programs is needed for decompression. Eventually, it would be possible to find a large set of programs which can be parameterized and used to approximate all possible images. This paper builds upon previous work done in the spatial domain, and instead uses the Discrete Wavelet Packet Transform to simplify the image, and provide better quality levels at better compression ratios. Additionally, quantizing the image in the wavelet domain allows for easier evolution of genetic programs without sacrificing much in terms of image quality. This paper shows with compression ratios of up to 22:1 that genetic programming in the wavelet domain is indeed a feasible method of Image Compression.
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