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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There has always been the necessity to have a definitive guide on PHP-Nuke. Due to time constraints, nobody has ever had the will to carry out this operation. Not any more! With this book, PHP-Nuke now posesses the most comprehensive guide on the subject, suitable for newbies and advanced users alike.

PHP-Nuke utilizes as hinge of its own structure the duo PHP+ MySQL, very often being accompanied by the Apache web server. Many modules have integrated many other languages, such as Javascript, Java, Flash and also even systems that serve, through the portal, sounds and films in streaming mode (Online Radio, TV Online, Images, Files…). From version 6.x onwards, the compatibility has been extended to include other databases as well, in order to extend the user base even more vastly.
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What: We are developing a tool to track variables and their values in C programs as they change at runtime. Because of the low-level, unrestricted memory access the language allows, the challenge lies in collecting accurate information without disrupting the program’s execution. Our approach combines techniques from profiling with memory tracking to analyze dynamic allocation throughout the lifetime of a program.
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Many simple programs that you have written up to now have undoubtedly consisted only of a main() function that performed all the necessary steps to solve that problem. Yet, you were always encouraged to break the problem down into one or more subprograms or functions. When you break a program down into a series of functions, you are doing what is called functional abstraction. This book begins with a formalization of this process of functional abstraction: its methods, techniques, benefits, and so on.
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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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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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In October of 1976 I observed that a certain algorithm – parallel reduction – was associated with monoids: collections of elements with an associative operation. That observation led me to believe that it is possible to associate every useful algorithm with a mathematical theory and that such association allows for both widest possible use and meaningful taxonomy. As mathematicians learned to lift theorems into their most general settings, so I wanted to lift algorithms and data structures. One seldom needs to know the exact type of data on which an algorithm works since most algorithms work on many similar types. In order to write an algorithm one needs only to know the properties of operations on data. I call a collection of types with similar properties on which an algorithm makes sense the underlying concept of the algorithm. Also, in order to pick an efficient algorithm one needs to know the complexity of these operations. In other words, complexity is an essential part of the interface to a concept.
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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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