This paper presents the design and implementation of DOT, a flexible architecture for data transfer. This architecture separates content negotiation from the data transfer itself. Applications determine what data they need to send and then use a new transfer service to send it. This transfer service acts as a common interface between applications and the lower-level network layers, facilitating innovation both above and below. The transfer service frees developers from re-inventing transfer mechanisms in each new application. New transfer mechanisms, in turn, can be easily deployed without modifying existing applications.
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The combination of evolving ICT standards that increase the interoperability between applications and the ever-increasing need for a more seamless access to and exchange of information is a major driver in the OECD ICT strategy. This paper describes the role and use of web services in the context of recent developments at the OECD to improve the accessibility of statistical information. It follows up on a paper presented at the 2002 ISIS meeting about “Improving Access to Statistical Information at OECD in Response to Users’ Requirements” and describes a technology framework – called “dot.STAT” – that has been devised for the implementation of applications that enable easy access to certain OECD reference data. The concepts outlined in this paper have been developed in close collaboration with the Statistics Directorate, specialised OECD-internal groups and task forces 2, as well as members of the SDMX Consortium3.
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Nowadays, transacting business through E-commerce platform has become an important business trading way in modern society. E-commerce has been applied to literally every aspect of our society. The requirements of users are variable, different methods are in need of realizing E-commerce, even the deployment platforms are different. The JSP, ASP, HTML and other traditional scripting language has become unable to meet the needs of designing a complex system, even if it has been realized, the coupling between codes, the configuration environment and system deployment dependency fall far short of various requirements of users. It is a highly skilled work which demands good conception of beauty and much professional knowledge of the program designers. However, it is difficult to fulfill the needs in reality.
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Web sites today face many threats to the confidentiality and integrity of the data used and the functionality provided by the application. This problem is compounded by the fact that Web developers are simply lack of either adequate knowledge and skills in writing secure Web application codes (Huang et al., 2005) or sufficient testing methodologies for the audit and control of Web development (Mansouir and Houri, 2006). Works in the design and implementation of security measures for Web applications are greatly in need.
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This tutorial will introduce you to event?based programming (EBP) using a Windows desktop application written in C#. The application, called SystemBrowser, works a little like Windows Explorer: it displays folders and files, as shown in the next figure.
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The Autodesk approach to Digital Prototyping is unique in that it is scalable, attainable and cost effective allowing a broader group of manufacturers to realize the benefits of digital prototyping with minimal disruption to existing workflows.

Autodesk® offers the most straightforward path for auto suppliers to create, share, and maintain a single digital model – enabling greater collaboration and innovation by bringing together design data from all phases of the product development process.
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Early AI research emphasized the optimization of search algorithms. This approach made a lot of sense because many AI tasks can be solved by effectively by defining state spaces and using search algorithms to define and explore search trees in this state space. Search programs were frequently made tractable by using heuristics to limit areas of search in these search trees. This use of heuristics converts intractable problems to solvable problems by compromising the quality of solutions; this trade off of less computational complexity for less than optimal solutions has become a standard design pattern for AI programming. We will see in this chapter that we trade off memory for faster computation time and better results; often, by storing extra data we can make search time faster, and make future searches in the same search space even more efficient.
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The development of the Linux USB subsystem started in 1997 and in the meantime it was redesigned many times. This implied various changes of its internal structure and its API too. So it is even hard for experienced device driver developers to keep up to date with all ongoing discussions and current changes.
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