961 resultados para C (Computer program language)


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Parrocha es un envoltorio simple realizado para las plataformas de desarrollo basadas en el estándar CLI de la biblioteca libparrot. Libparrot es una biblioteca de funciones implementada en C, que puede compilarse sobre varias plataformas y en la que se implementa la plataforma de desarrollo Parrot.

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Este documento es la memoria de un proyecto de Fin de Máster en Software Libre cursado en la Universitat Oberta de Catalunya.El nombre del proyecto es "libmsvg" y se enmarca en la especialidad de desarrollo de aplicaciones de software libre."libmsvg" es una pequeña librería software, escrita en C, para leer y grabar ficheros en un subconjunto del formato SVG.SVG son las iniciales de Scalable Vector Graphics, un formato de gráficos vectoriales definido por el World Wide Web Consortium.En esta memoria se describe la concepción, diseño y desarrollo de la librería y los trabajos realizados para su publicación y puesta a disposición de la comunidad, como software libre.

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This manual describes how to run the new produced GUI C++ program that so called'WM' program. Section two describes the instructions of the program installation.Section three illustrates test runs description including running the program WM,sample of the input, output files, in addition to some generated graphs followed by the main form of the program created by using the Borland C++ Builder 6.

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"UILU-ENG 77 1747."

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"U.S. Atomic Energy Commission Contract AT(29-1)-1106."

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At head of cover title: Generalized computer program.

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At head of cover title: Generalized computer program.

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Plataforma per a la gestió d'un servei de lloguer de vehicles desenvolupat en tecnologia .Net de Microsoft.Consta d'una plana web enfocada als clients, una aplicació d'administració i d'una aplicació mòbil per a la gestió per part del personal de taller.

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This work proposes to adjust the Notification Oriented Paradigm (NOP) so that it provides support to fuzzy concepts. NOP is inspired by elements of imperative and declarative paradigms, seeking to solve some of the drawbacks of both. By decomposing an application into a network of smaller computational entities that are executed only when necessary, NOP eliminates the need to perform unnecessary computations and helps to achieve better logical-causal uncoupling, facilitating code reuse and application distribution over multiple processors or machines. In addition, NOP allows to express the logical-causal knowledge at a high level of abstraction, through rules in IF-THEN format. Fuzzy systems, in turn, perform logical inferences on causal knowledge bases (IF-THEN rules) that can deal with problems involving uncertainty. Since PON uses IF-THEN rules in an alternative way, reducing redundant evaluations and providing better decoupling, this research has been carried out to identify, propose and evaluate the necessary changes to be made on NOP allowing to be used in the development of fuzzy systems. After that, two fully usable materializations were created: a C++ framework, and a complete programming language (LingPONFuzzy) that provide support to fuzzy inference systems. From there study cases have been created and several tests cases were conducted, in order to validate the proposed solution. The test results have shown a significant reduction in the number of rules evaluated in comparison to a fuzzy system developed using conventional tools (frameworks), which could represent an improvement in performance of the applications.

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This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialog. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a complete syntactic analysis of each sentence with a "heuristic understander" which uses different kinds of information about a sentence, other parts of the discourse, and general information about the world in deciding what the sentence means. It is based on the belief that a computer cannot deal reasonably with language unless it can "understand" the subject it is discussing. The program is given a detailed model of the knowledge needed by a simple robot having only a hand and an eye. We can give it instructions to manipulate toy objects, interrogate it about the scene, and give it information it will use in deduction. In addition to knowing the properties of toy objects, the program has a simple model of its own mentality. It can remember and discuss its plans and actions as well as carry them out. It enters into a dialog with a person, responding to English sentences with actions and English replies, and asking for clarification when its heuristic programs cannot understand a sentence through use of context and physical knowledge.

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National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

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National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

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National Highway Traffic Safety Administration, Office of Research and Development, Washington D.C.

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National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.