934 resultados para VLSI architectures


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Architecture description languages (ADLs) are used to specify high-level, compositional views of a software application. ADL research focuses on software composed of prefabricated parts, so-called software components. ADLs usually come equipped with rigorous state-transition style semantics, facilitating verification and analysis of specifications. Consequently, ADLs are well suited to configuring distributed and event-based systems. However, additional expressive power is required for the description of enterprise software architectures – in particular, those built upon newer middleware, such as implementations of Java’s EJB specification, or Microsoft’s COM+/.NET. The enterprise requires distributed software solutions that are scalable, business-oriented and mission-critical. We can make progress toward attaining these qualities at various stages of the software development process. In particular, progress at the architectural level can be leveraged through use of an ADL that incorporates trust and dependability analysis. Also, current industry approaches to enterprise development do not address several important architectural design issues. The TrustME ADL is designed to meet these requirements, through combining approaches to software architecture specification with rigorous design-by-contract ideas. In this paper, we focus on several aspects of TrustME that facilitate specification and analysis of middleware-based architectures for trusted enterprise computing systems.

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Users are facing an increasing challenge of managing information and being available anytime anywhere, as the web exponentially grows. As a consequence, assisting them in their routine tasks has become a relevant issue to be addressed. In this paper, we introduce a software framework that supports the development of Personal Assistance Software (PAS). It relies on the idea of exposing a high level user model in order to increase user trust in the task delegation process as well as empowering them to manage it. The framework provides a synchronization mechanism that is responsible for dynamically adapting an underlying BDI agent-based running implementation in order to keep this high-level view of user customizations consistent with it.

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The recent advances in CMOS technology have allowed for the fabrication of transistors with submicronic dimensions, making possible the integration of tens of millions devices in a single chip that can be used to build very complex electronic systems. Such increase in complexity of designs has originated a need for more efficient verification tools that could incorporate more appropriate physical and computational models. Timing verification targets at determining whether the timing constraints imposed to the design may be satisfied or not. It can be performed by using circuit simulation or by timing analysis. Although simulation tends to furnish the most accurate estimates, it presents the drawback of being stimuli dependent. Hence, in order to ensure that the critical situation is taken into account, one must exercise all possible input patterns. Obviously, this is not possible to accomplish due to the high complexity of current designs. To circumvent this problem, designers must rely on timing analysis. Timing analysis is an input-independent verification approach that models each combinational block of a circuit as a direct acyclic graph, which is used to estimate the critical delay. First timing analysis tools used only the circuit topology information to estimate circuit delay, thus being referred to as topological timing analyzers. However, such method may result in too pessimistic delay estimates, since the longest paths in the graph may not be able to propagate a transition, that is, may be false. Functional timing analysis, in turn, considers not only circuit topology, but also the temporal and functional relations between circuit elements. Functional timing analysis tools may differ by three aspects: the set of sensitization conditions necessary to declare a path as sensitizable (i.e., the so-called path sensitization criterion), the number of paths simultaneously handled and the method used to determine whether sensitization conditions are satisfiable or not. Currently, the two most efficient approaches test the sensitizability of entire sets of paths at a time: one is based on automatic test pattern generation (ATPG) techniques and the other translates the timing analysis problem into a satisfiability (SAT) problem. Although timing analysis has been exhaustively studied in the last fifteen years, some specific topics have not received the required attention yet. One such topic is the applicability of functional timing analysis to circuits containing complex gates. This is the basic concern of this thesis. In addition, and as a necessary step to settle the scenario, a detailed and systematic study on functional timing analysis is also presented.

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Este trabalho apresenta novos algoritmos para o roteamento de circuitos integrados, e discute sua aplicação em sistemas de síntese de leiaute. As interconexões têm grande impacto no desempenho de circuitos em tecnologias recentes, e os algoritmos propostos visam conferir maior controle sobre sua qualidade, e maior convergência na tarefa de encontrar uma solução aceitável. De todos os problemas de roteamento, dois são de especial importância: roteamento de redes uma a uma com algoritmos de pesquisa de caminhos, e o chamado roteamento de área. Para o primeiro, procura-se desenvolver um algoritmo de pesquisa de caminhos bidirecional e heurístico mais eficiente, LCS*, cuja aplicação em roteamento explora situações específicas que ocorrem neste domínio. Demonstra-se que o modelo de custo influencia fortemente o esforço de pesquisa, além de controlar a qualidade das rotas encontradas, e por esta razão um modelo mais preciso é proposto. Para roteamento de área, se estuda o desenvolvimento de uma nova classe de algoritmos sugerida em [JOH 94], denominados LEGAL. A viabilidade e a eficiência de tais algoritmos são demonstradas com três diferentes implementações. Devem ser também estudados mecanismos alternativos para gerenciar espaços e tratar modelos de grade não uniforme, avaliando-se suas vantagens e sua aplicabilidade em outros diferentes contextos.

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Este trabalho faz uma análise ampla sobre os algoritmos de posicionamento. Diversos são extraídos da literatura e de publicações recentes de posicionamento. Eles foram implementados para uma comparação mais precisa. Novos métodos são propostos, com resultados promissores. A maior parte dos algoritmos, ao contrário do que costuma encontrar-se na literatura, é explicada com detalhes de implementação, de forma que não fiquem questões em aberto. Isto só possível pela forte base de implementação por trás deste texto. O algorítmo de Fidduccia Mateyeses, por exemplo, é um algorítmo complexo e por isto foi explicado com detalhes de implementação. Assim como uma revisão de técnicas conhecidas e publicadas, este trabalho oferece algumas inovações no fluxo de posicionamento. Propõe-se um novo algorítimo para posicionamento inicial, bem como uma variação inédita do Cluster Growth que mostrta ótimos resultados. É apresentada uma série de evoluções ao algorítmo de Simulated Annealling: cálculo automático de temperatura inicial, funções de perturbação gulosas (direcionadas a força), combinação de funções de perturbação atingindo melhores resultados (em torno de 20%), otimização no cálculo de tamanho dos fios (avaliação das redes modificadas e aproveitamento de cálculos anteriores, com ganhos em torno de 45%). Todas estas modificações propiciam uma maior velocidade e convergência do método de Simulated Annealling. É mostrado que os algorítmos construtivos (incluindo o posicionador do Tropic, baseado em quadratura com Terminal Propagation) apresentam um resultado pior que o Simulated Annealling em termos de qualidade de posicionamento às custas de um longo tempo de CPD. Porém, o uso de técnicas propostas neste trabalho, em conjunto com outras técnicas propostas em outros trabalhos (como o trabalho de Lixin Su) podem acelerar o SA, de forma que a relação qualidade/tempo aumente.

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MEDEIROS, Adelardo A. D.A survey of control architectures for autonomous mobile robots. J. Braz. Comp. Soc., Campinas, v. 4, n. 3, abr. 1998 .Disponível em: Acesso: 27 set. 2010.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through comparative analysis of neuro-fuzzy architectures, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data.

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The Compact Muon Solenoid (CMS) detector is described. The detector operates at the Large Hadron Collider (LHC) at CERN. It was conceived to study proton-proton (and lead-lead) collisions at a centre-of-mass energy of 14 TeV (5.5 TeV nucleon-nucleon) and at luminosities up to 10(34)cm(-2)s(-1) (10(27)cm(-2)s(-1)). At the core of the CMS detector sits a high-magnetic-field and large-bore superconducting solenoid surrounding an all-silicon pixel and strip tracker, a lead-tungstate scintillating-crystals electromagnetic calorimeter, and a brass-scintillator sampling hadron calorimeter. The iron yoke of the flux-return is instrumented with four stations of muon detectors covering most of the 4 pi solid angle. Forward sampling calorimeters extend the pseudo-rapidity coverage to high values (vertical bar eta vertical bar <= 5) assuring very good hermeticity. The overall dimensions of the CMS detector are a length of 21.6 m, a diameter of 14.6 m and a total weight of 12500 t.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This work presents the design of a fuzzy controller with simplified architecture that use an artificial neural network working as the aggregation operator for several active fuzzy rules. The simplified architecture of the fuzzy controller is used to minimize the time processing used in the closed loop system operation, the basic procedures of fuzzification are simplified to maximum while all the inference procedures are computed in a private way. As consequence, this simplified architecture allows a fast and easy configuration of the simplified fuzzy controller. The structuring of the fuzzy rules that define the control actions is previously computed using an artificial neural network based on CMAC Cerebellar Model Articulation Controller. The operational limits are standardized and all the control actions are previously calculated and stored in memory. For applications, results and conclusions several configurations of this fuzzy controller are considered.

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The aim of this work is to propose a simple and efficient mechanism to deal with the problem of executing sequential code in a pure dataflow machine. Our results is obtained with a simulator of Wolf [4] architecture. The implemented mechanism improved the architecture performance when executing sequential code and we expect that this improvement could be better if we use some heuristics to deal with some special groups of instructions such as branch operations. Further research will show us if this is true.