Logical Component

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Paolo Casalegno - One of the best experts on this subject based on the ideXlab platform.

  • the referential and the Logical Component in fodor s semantics
    Dialectica, 2005
    Co-Authors: Paolo Casalegno
    Abstract:

    Critique de l'argument semantique developpe par J. Fodor dans le chapitre 3 de son livre «The Elm and the Expert» (1994), qui consiste a refuter la these de l'inscrutabilite de la reference chez Quine. Examinant les caracteristiques de la semantique naturaliste informationnelle de Fodor, fondee sur une definition causale du contenu, l'A. etablit une distinction entre deux mecanismes du symbole : le mecanisme du composant referentiel, impliquant des relations causales systematiques entre les objets du monde exterieur et les signes des symboles mentaux, d'une part, et le mecanisme du composant logique, impliquant des relations causales entre les symboles eux-memes.

Mario Godinez - One of the best experts on this subject based on the ideXlab platform.

  • The art of enterprise information architecture: a systems-based approach for unlocking business insight
    Molecular Biology and Evolution, 2010
    Co-Authors: Mario Godinez
    Abstract:

    Architecture for the Intelligent Enterprise: Powerful New Ways to Maximize the Real-time Value of Information Tomorrow’s winning “Intelligent Enterprises” will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to decision-makers throughout the organization. Today, however, most companies fail to apply the information they already have, while struggling with the complexity and costs of their existing information environments. In this book, a team of IBM’s leading information management experts guide you on a journey that will take you from where you are today toward becoming an “Intelligent Enterprise.” Drawing on their extensive experience working with enterprise clients, the authors present a new, information-centric approach to architecture and powerful new models that will benefit any organization. Using these strategies and models, companies can systematically unlock the business value of information by delivering actionable, real-time information in context to enable better decision-making throughout the enterprise–from the “shop floor” to the “top floor.” Coverage Includes Highlighting the importance of Dynamic Warehousing Defining your Enterprise Information Architecture from conceptual, Logical, Component, and operational views Using information architecture principles to integrate and rationalize your IT investments, from Cloud Computing to Information Service Lifecycle Management Applying enterprise Master Data Management (MDM) to bolster business functions, ranging from compliance and risk management to marketing and product management Implementing more effective business intelligence and business performance optimization, governance, and security systems and processes Understanding “Information as a Service” and “Info 2.0,” the information delivery side of Web 2.0

Vignesh Elamvazhuthi - One of the best experts on this subject based on the ideXlab platform.

  • cosmos a visual environment for Component based modeling experimental design and simulation
    Simulation Tools and Techniques for Communications Networks and System, 2009
    Co-Authors: Hessam S. Sarjoughian, Vignesh Elamvazhuthi
    Abstract:

    An integrated modeling and simulation tool called Component-based System Modeler and Simulator (CoSMoS) is developed. It supports visual development of families of models that have well-defined Logical specifications. The Logical Component-based models persist in relational databases and may be automatically translated into specific target simulation and markup programming languages. The underlying system-theoretic modeling framework of CoSMoS lends itself for the well-known discrete-time, continuous, and discrete-event modeling approaches. Currently, CoSMoS supports developing parallel DEVS-compliant models which can be executed using the DEVS-Suite simulator. The underlying process lifecycle of the CoSMoS enables systematic transitioning from visual model development and design of experiments to simulation execution and experimentation. Simulation data can be used for run-time animation and viewing of time-based trajectories or exported for post processing. This tool helps to simplify simulation-based system design, verification, and validation. The core capabilities of the CoSMoS are exemplified with a conceptual model of an anti-virus network software system.

Chen Zhanji - One of the best experts on this subject based on the ideXlab platform.

  • the low power design of programmable Logical Component
    Modern Electronics Technique, 2006
    Co-Authors: Chen Zhanji
    Abstract:

    In order to reduce the power loss problem in designing the programmable Logical Component,we have to start from analyzing the microstructure of a system,and then adopt a new approach to reduce the power loss so as to solve the same problem in the system power.This paper first introduces the reason why power loss appears,then through the four aspects of gate-control technology,Component choice,optimizing the level of register transfers and gate low power loss technology,the basic principle and main technique concerning how to design the low power loss system at logic level is elaborated.

Hessam S. Sarjoughian - One of the best experts on this subject based on the ideXlab platform.

  • cosmos a visual environment for Component based modeling experimental design and simulation
    Simulation Tools and Techniques for Communications Networks and System, 2009
    Co-Authors: Hessam S. Sarjoughian, Vignesh Elamvazhuthi
    Abstract:

    An integrated modeling and simulation tool called Component-based System Modeler and Simulator (CoSMoS) is developed. It supports visual development of families of models that have well-defined Logical specifications. The Logical Component-based models persist in relational databases and may be automatically translated into specific target simulation and markup programming languages. The underlying system-theoretic modeling framework of CoSMoS lends itself for the well-known discrete-time, continuous, and discrete-event modeling approaches. Currently, CoSMoS supports developing parallel DEVS-compliant models which can be executed using the DEVS-Suite simulator. The underlying process lifecycle of the CoSMoS enables systematic transitioning from visual model development and design of experiments to simulation execution and experimentation. Simulation data can be used for run-time animation and viewing of time-based trajectories or exported for post processing. This tool helps to simplify simulation-based system design, verification, and validation. The core capabilities of the CoSMoS are exemplified with a conceptual model of an anti-virus network software system.