In this paper we describe a Python- and Tkinter-based visual-programming environment called ViPEr. This tool enables non-programmers to build computational and visualization networks interactively. Computational nodes can be placed onto a canvas and their input and output ports can be connected using the mouse. The connections between the nodes define a directed graph that will be used to propagate data and trigger the execution of nodes that have new input data. ViPEr is, in appearance, similar to programs such as AVS [Upson et al. 89] from Advanced Visual Simulations Inc, or OpenDX [DX 93] from IBM, but presents some fundamental differences which will be pointed out throughout this paper. Several examples of applications will be used to illustrate ViPEr’s design and current range of capabilities.
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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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Adaptive algorithms are an important technique to achieve portable high performance. They choose among solution methods and optimizations according to expected performance on a particular machine. Grid environments make the adaptation problem harder, because the optimal decision may change across runs and even during runtime. Therefore, the performance model used by an adaptive algorithm must be able to change decisions without high overhead. In this paper, we present work that is modifying previous research into rapid performance modeling to support adaptive grid applications through sampling and high granularity modeling. We also outline preliminary results that show the ability to predict differences in performance among algorithms in the same program.
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In the late 1990’s many ERP companies caught the web browser wave, undertaking projects to leverage the Internet and browser technology and even to convert their software to “lite-client” or web “portal” architectures. Unfortunately for some, .NET came on the scene too soon after this major overhaul. When .NET appeared, some were too technically exhausted, or inflexible, or still basking in the glow of their new “Internet-based architectures” to recognize and embrace .NET. Other ERP software companies were and continue to be simply too busy struggling to stay solvent during the devastating one-two-three punch of Y2K, the recession of 2000, and 9/11. They lack the resources to consider the complete restructuring of their products that .NET warrants.
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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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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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DOLFIN is implemented as a C++ library and can be used either as a stand- alone solver, or as a tool for the development and implementation of new methods. To simplify usage and emphasize structure, DOLFIN is organized into three levels of abstraction, referred to as kernel level, module level, and user level, as shown in Figure 1.1. Core features, such as the automatic evaluation of variational forms and adaptive mesh refinement, are implemented as basic tools at kernel level. At module level, new solvers/modules can be assembled from these basic tools and integrated into the system. At user level, a model of the form is specified and solved, either using one of the built-in solvers/modules or by direct usage of the basic tools.
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Fiat’s confusing, like-sounding model names, the Brava is the five-door,family-sized hatch back,while Bravo is a 15cm shorter but more sportily slanted three-door variation on the same theme. This “horses-for-courses” approach makes sound sense: the Brava offers more space, five-door practicality and a rounded-off ride for those with a family to consider, while the Bravo’s distinctive-but-different styling and subtly revised suspension and specification cater for less-encumbered buyers seeking a more sporting attraction. Which ever tickles your fancy, though, Fiat has recently given the pair a mild makeover. Staying faithful to the original styling concept, the refettled Fiats are not much different to look at, but every version now offers significant improvements and costs less, or at least no more, than its previous equivalent.
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