This document tells you howto develop PHP programs and also to migrate all the Windows 95 GUI applications to powerful PHP + HTML + DHTML + XML + Java applets + Javascript. The information in this document applies to all the operating sytems where PHP is ported that is ? Linux, Windows 95/NT, OS/2, all flavors of Unix like Solaris, HPUX, AIX, SCO, Sinix, BSD, etc.
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Information and documentation services available on the Internet through web servers are growing in an exponential manner. The logical evolution of the Internet over the last 10 years has been producing a replacement of static web pages and documents by dynamically generated documents. This is due both to user interaction with work processes and flows defined by service creators and to the availability of growing information repositories. This has meant a progressive evolution from a concept of web page publishing which was quite simple in its origins to more complex and differentiated schemes relying on procedures and techniques based on information management. The increasing complexity of services and systems supporting them has made it necessary to formulate a theoretical and practical corpus capable of combining classical information management techniques within organizations with the particular features of the digital environment.
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Structures form a very large building block with which to collect like data into one collective unit. They are a versatile data structure in which to clump data together in convenient little packages! They are essentially classes with all members defined as public access with no private or protected access modes available. They are most commonly used for conglomerating data and also support member functions, but that attribute is rarely used. I believe this is because when multiple functions are involved, the need for private and protected variables and functions increases.
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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 regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting a suitable subset of test cases from the original test suite in order to be rerun. It aims to provide confidence that the modifications are correct and did not affect other unmodified parts of the program. The regression test selection technique presented in this paper accounts for C#.Net specific features. Our technique is based on three phases; the first phase builds an Affected Class Diagram consisting of classes that are affected by the change in the source code. The second phase builds a C# Interclass Graph (CIG) from the affected class diagram based on C# specific features. In this phase, we reduce the number of selected test cases. The third phase involves further reduction and a new metric for assigning weights to test cases for prioritizing the selected test cases. We have empirically validated the proposed technique by using case studies. The empirical results show the usefulness of the proposed regression testing technique for C#.Net programs.
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It began life under the name ARPANet in 1969. It was born in the U.S.A., created in the midst of the Cold War by the government as a strategic mechanism that would provide for the emission and reception of electronic communication signals in the event of a world catastrophe. Commissioned by the Department of Defense, four computers called nodes were connected using modems, telephone wires and satellites, one each at UCLA, UCSB, Stanford and University of Utah. ARPANet stands for Advanced Research Projects Agency Network. Its purpose was to share information and results of research among the various scientists involved in Department of Defense projects. Each node was specifically designed io be independent of the others in case of that aforementioned world catastrophe.
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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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