FileMaker is a popular and powerful desktop database application toolkit. Recently, FileMaker, Inc. released a beta version of the FileMaker API for PHP, which allows PHP to more easily talk to the FileMaker Server Advanced product. Learn how to leverage FileMaker’s strengths to deliver complex Web applications in a fraction of the time it would take using a typical SQL database.
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This document explains various possibilities for successfully deploying PDFlib as a PHP extension. The generic term PDFlib is used to designate one of the following distinct products:
> PDFlib Lite, the open-source subset of PDFlib
> The commercial PDFlib product
> PDFlib+PDI, a commercial superset of PDFlib which also contains the PDF Import Library (PDI)
> PDFlib Personalization Server (PPS), a superset of PDFlib+PDI with advanced block filling features for personalizing PDF documents.
Notes for PDFlib TET (Text Extraction Toolkit), PDFlib PLOP (Linearization, Optimization, Protection), and PDFlib pCOS (PDF Information Retrieval Tool) are included where appli- cable.
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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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Threads play a major role in applications programming today. For example, most Web servers are threaded, as are many Java GUI programs. Here are the major settings in which using threads has been founded convenient and/or efficient:
• Programs with asynchronous events:
Here the program must be ready for various events, but does not know the order in which they might occur. For example, in Sections 3.1 and 3.2, we have a network server connected to several clients. The server does not know from which client the next message will arrive. So, we have the server create a separate thread for each client, with each thread handling only its client.
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The IMAQ 1426 is a highly flexible image acquisition (IMAQ) device that supports a diverse range of Camera Link-compatible cameras from various camera companies. The IMAQ 1426 acquires digital images in real time and stores the images in onboard frame memory or transfers them directly to system memory. Featuring a high-speed data flow path, the IMAQ 1426 is ideal for both industrial and scientific environments.
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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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Over the last several years, computing systems based on adaptive learning with fine-grained parallel architectures have moved from obscurity to front-page prominence. These systems derive some of their novel architecture from ideas gleaned from biology, hence the name “neural network”. Although many of the ideas behind this field are not new, improved computing hardware, better understanding of learning algorithms, and limitations of traditional approaches have combined to renew interest in neural nets.
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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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