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Modeling Methodologies for Dynamic Reconfigurable Systems. How to model, validate and implement a Dynamic Reconfigurable System using Simulink

Автор:   Fabio C.
мягкая обложка
60 страниц
2009 год
Издательство:   Книга по Требованию
Цена:
1978 руб
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Описание:The proposed methodological flow is centered on the model-based design paradigm; it relies upon Simulink by The MathWorks as long as several tools developed by the DRESD team (www. dresd. org) and by the targeted FPGAs producers. By applying the normal synthesis process to these systems the outcome will be a failure due to the lack of resources. A flow based on Dynamic Partial Reconfigurability will instead allow its successful implementation: since systems are composed of blocks which need intermediate input(s) and produce intermediate output(s), these blocks can be separately synthesized a priori and then hard-coded onto the PLD when their functionalities become necessary. The main issue addressed is the implementation of large designs onto FPGAs with limited available resources. Aim of this work is to outline a new methodological flow that allows system designers to make use of Dynamic Reconfiguration in a new and intuitive way. As a matter of fact, Dynamic Reconfiguration can lead to enormous improvements in embedded systems design, but it is, at the same time, characterized by complexity and toughness of use.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Introduction to Microprocessors and Microcontrollers

Quiz time 6 In each case, choose the best option. 1 An SRAM with 12 address pins and 8 data pins would have: (a) an organization of 12Г—8 bits. (b) approximately 16Вѕ M locations. (c) an organization of 12Г—8 bits. (d) a storage capacity of 32В 768 bits. 2 A bistable: (a) can store two bits of information. (b) is another name for flop-flip. (c) has a floating output. (d) is made from several registers. 3 The pin that is most similar to one marked as CS may be labelled as: (a) OE. (b) CAS. (c) CE. (d) Vcc. 4 If, in a memory map, the lowest address of an 8 kbyte RAM is 1000H the highest address would be: (a) 8192H. (b) 2FFFH. (c) 7FFFH. (d) 3000H. 5 A UVEPROM: (a) is programmed by ultraviolet light. (b) loses the data if the power supplies are disconnected. (c) is a form of non-volatile memory. (d) is used in a SIMM. 7. A microprocessor-based system How simple can a microprocessor-based system actually be? It must obviously contain a microprocessor otherwise it is simply another electronic circuit. A microprocessor must be programmed ...»

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Музыкальная шкатулка в форме трапеции.
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Runtime Management for 2D Self Dynamically Reconfigurable Systems. A cost-effective solution for runtime Core Allocation Management in 2D Self Dynamically Reconfigurable Systems
The main concern of the work described in this book is to provide solutions to support this reconfiguration approach.
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A Variational Asymptotic Methodology of Smart Slender Structure Modeling An Electro-mechanically Coupled Smart Beam Modeling Methodology.
An electro-mechanical generalized cross-sectional model for beam like slender structure has been derived by a two-step procedure of dimensional reduction.
          2382 руб             2009 год          140 стр.          мягкая обложка

Observation Based PDE Models for Stochastic Production Systems. Supply Chain Modeling
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Amalgam of form and image through use of a 3D light-point matrix to deliver a content-driven zone in real-time Spatial Dynamic Media System.
The hypothesis of my PhD is that this real time reconfiguration of space using light offers a variety of new perceptions ranging from information sharing to public art never experienced previously.
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Modeling and design of mechatronic systems. Methods, models, advanced design, intelligent systems and manufacturing
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The aim of this book is to give an appropriate maintenance model for systems with phase-type distributed times to failure.
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User Participation Simulation For Online Communities. System Dynamics and agent-based modeling
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Modeling the impacts of climate change on cattle water demand and supply in Botswana. System dynamic modeling approach
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The design is tested in a simulation, where a trace of allocation and deallocation events from a content server was submitted to the allocator.
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AGENT BASED DISTRIBUTED FILE SYSTEM. MODELING, SIMULATION AND PERFORMANCE EVALUATION
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Conformational transitions in DNA polymerases. Insights into dynamics in DNA polymerases by modeling and simulation
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PLASMA-SURFACE INTERACTIONS OF ADVANCED PHOTORESIST SYSTEMS. PLASMA-SURFACE INTERACTIONS OF MODEL POLYMERS FOR ADVANCED PHOTORESIST SYSTEMS
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          2766 руб             2009 год          172 стр.          мягкая обложка

Online Handwriting Recognition System for Ethiopic Characters. Analysis, Modeling and Design with Experimental Results
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Model-Based Dependability Evaluation of Critical Control Systems. A practical survey of advanced techniques for model-based system testing and reliability evaluation
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          2400 руб             2009 год          148 стр.          мягкая обложка

Derivation of Process Algebraic Models of Biochemical Systems. ?-calculus, Stochastic Simulation of Biochemical Reactions
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          2400 руб             2009 год          144 стр.          мягкая обложка

Charged colloids as model systems for metals. Short-range order phenomena and nucleation behavior
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Geographical Information Systems and Mining Impacts. A Predictive Methodology for Mapping Potential Mining Induced Rock Falls
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Robust Control of Dual-Stage Servo Systems in Hard Disk Drives. Methodology Development, Comparative Study, and Experimental Verification
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          2005 руб             2008 год          112 стр.          мягкая обложка

Cancer Risk Assessment of Trihalomethanes in Drinking Water. Consilience Cancer Risk Assessment to System Dynamic Analysis in Policy Evaluation Perspective
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Modeling User Control of Environmental Systems in Office Buildings. Control-Oriented Occupants' Behavior toward Lighting, Shading and Natural Ventilation Systems based on a Long-Term Study in Two Office Buildings
These behavioral patterns can be used to develop empirically supported predictive models for control oriented occupant actions in buildings, building simulation programs, building automation systems, energy management and energy contracting to improve energy effectiveness, occupants' comfort and innovation of user interfaces products. The focus of the study is to observe and analyze control-oriented occupants' behavior toward lighting, shading and natural ventilation systems based on a long-term study in two office buildings.
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A Model for Assessing Performance System Risk. An Exploratory Study of the Organizational Performance System (OPS) Instrument as an Identifier of Performance System Risk
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Modelling of Manufacturing Complexity in Network Systems. A new way to model complexity in manufacturing networks and its application to system re-engineering
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An Econophysics Approach. Modeling by Economic Forces Consumer, Firm, and Price Dynamics:
The assumptions do not allow modeling time dependent processes and increasing returns to scale in firms' production in a perfectly competed industry. Further, the assumed optimal behavior prohibits understanding changes in economic quantities because none likes to change his optimal behavior. In the book the assumption of optimal behavior in neoclassical analysis is changed to the following: Economic agents like to better their situation if possible. This approach is shown to lead to an analogous framework of modeling in economics as Newtonian framework in classical mechanics. The economic forces acting upon consumption, production, and price in a non-equilibrium situation are defined, and showed that these forces cause an adjustment toward an equilibrium state, or keep the system in motion with time. The proposed framework gives game theoretic analysis and a dynamic extension of neoclassical analysis from a single principle that contains economic growth too. The assumptions of neoclassical analysis have prohibited the development of economics into a quantitative science.
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In Nonlinear Dynamical Systems Using Neural Networks Active Disturbance Cancellation.
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Stochastic Differential Equations: A Dynamical Systems Approach
There exists a significant ``culture gap" between the corresponding research communities. The objective of the dissertation project is to present a concise yet mostly self-contained theory of stochastic differential equations from the differential equations/dynamical systems point of view, primarily incorporating semigroup theory and functional analysis techniques to study the solutions. Prerequisites from probability/stochastic processes are developed as needed. For continuous-time stochastic processes whose random variables are (Lebesgue) absolutely continuous, the Fokker-Planck equation is employed to study the evolution of the densities, with applications to predator-prey models with noisy coefficients. The subject draws upon two main sources, probability/stochastic processes and differential equations/dynamical systems. The relatively new subject of stochastic differential equations has increasing importance in both theory and applications.
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Modeling and Identification for Anomaly detection in Mechanical System. A Masters of Science Paper in Electrical engineering
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High-level System Modeling with SystemC and TLM. Introduction and practical application of an Electronic System Level design flow
Particular focus is laid on linking theoretical concepts to their practical implementation.
          2413 руб             2009 год          148 стр.          мягкая обложка

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