ChucK re-factors the idea of a computer music language into three orthogonal basis components: unit generator connections that are data-flow only, globally consistent ”first-class” time control, and sample-synchronous concurrency. The syntax, semantic, and usage have been discussed in previous works. The focus and contributions of this paper are (1) to examine the philosophies and decisions in the language design (2) to describe ChucK’s implementation and runtime model, and (3) to outline potential applications enabled by this framework. We present an experiment in designing a computer music language ”from scratch” and show how things work. We hope these ideas may provides an interesting reference for future computer music systems.
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We present a vision system for the 3-D model- based tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The pose- recovery problem is formulated as a search problem and entails finding the pose parameters of a graphical human model whose synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. The models used for this purpose are acquired from the images. We use a decomposition approach and a best-first technique to search through the high dimensional pose parameter space. A robust variant of chamfer matching is used as a fast similarity measure between synthesized and real edge images.
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Decision making is one of people’s usual activities since situations that require making decisions constantly arise in their everyday life. Very often, however, the dimensionality and complexity of decision problems reach far beyond human’s capabilities while the cost of a poor decision may be rather high. Therefore, there is a need in software support to the decision making process, and, in response, a wide variety of software tools, from tools for building graphs and charts to expert systems and intelligent agents, are offered as decision support systems. The reason for this variety is the compound, multi-faceted nature of the decision making process.
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This is a literature review on neural networks and related algorithms. It is aimed to get a general understanding on neural networks and find out the possible applications of these models in information retrieval (IR) systems.

Beginning with a preliminary definition and typical structure of neural networks, neural networks are studied with respect to their learning processes and architecture structures. A case study on some specific networks and related algorithms is followed. The applications of some neural network models and related algorithms in information retrieval systems are then investigated. Problems on applying neural network models into IR systems are finally summarized in the conclusion.
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DOT NET is one of the key products that enable application development under the new vision. However, DOT NET is not quite backward compatible with prior versions like visual basic version 6. This makes migration a serious issue. Converting existing source code to DOT NET architecture is not just a matter of loading it to the new version. DOT NET has its built-in migration tool, which performs the vital task of converting the source code syntax. But that’s just half of the work done. But before the converted code is actually compiled, the developer needs to enable it to smoothly fix lot of issues to fit into DOT NET architecture. In present efforts to find out solutions to these migration issues, a re-engineering Migration Model for Legacy Source Code (MMLC) has been proposed in this study. Proposed model has been further validated using a in-house project at one of the leading software development organisation. It is envisaged from the experimental try-out that the model would help the developer community to easily convert their legacy source code to DOT NET framework.
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The security of information systems is a wide area. Its development followed that of information systems, whose development in turn followed advances in hardware. As computers and software have developed real fast: “To put it quite bluntly: as long as there were no machines, programming was no problem at all; when we had a few weak computers, programming became a mild problem, and now we have gigantic computers, programming had become an equally gigantic problem.” [1], so have developed the possibilities for security breaches.
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The Map Book function has been a Part of Map 3D since the early days of ADE. In the last several releases the functionality has become very robust and a whole lot easier to use due to the Sheet Set Manager and a Wizard. That being said, there is one piece of the Map Books that can cause you to go nuts (and many folks it seems just give up)… setting a % Overlap value and still getting a scaled map book. The key to solving this dilemma is in the Map Book template (.dwt). The following is a discussion of and tutorial on how to properly set up a map book template to produce a properly scaled Map Book set (and stop ramming your head against your desk).
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The rapid advent of “Web 2.0” applications has unleashed new HTTP traffic patterns which differ from the conventional HTTP request-response model. In particular, asynchronous pre-fetching of data in order to provide a smooth web browsing experience and richer HTTP payloads (e.g., Javascript libraries) of Web 2.0 applications induce larger, heavier, and more bursty traffic on the underlying networks. We present a traffic study of Web 2.0 applications including Google Maps, modern Web-email, and social networking Web sites, and compare them with all HTTP traffic. We highlight the key differences of Web 2.0 traffic from traditional HTTP traffic through statistical analysis. As such our work elucidates the changing face of one of the most popular application on the Internet: The World Wide Web.
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