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Model-Based Design for Embedded Systems- P art 15

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In multirate automata, the derivatives of the continuous variables can take constant values other than 1. Let us illustrate some of the issues that arise in hybrid automata reach- ability. On one hand, in many cases we do not know explicit solutions of the differen- tial equations. This method is indeed the basis of the reachability computation tech- nique for...

Model-Based Design for Embedded Systems- P art 16

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Indeed with the “same number of states,” the states visisted by the gRRT are more equi-distributed over the reachable set than those visisted by hRRT.. Proceedings of the IEEE . In Proceedings of the Fourth International Workshop on Formal Methods for Industrial Critical Systems (FMICS ’99), Berlin, Germany, pp. In Hybrid Systems:. In Proceed- ings of the 45th IEEE Conference...

Model-Based Design for Embedded Systems- P17

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14.3.5.1 Derived Functions and Logic Programs. FIGURE 14.8 Calculating reachable states from initial state 0.. The N th find query does all the work of the N − 1. (14.30) and then the expression:. (14.31) reachN(y. (14.32) The rules above calculate all of the reachable states of a FSM. Rule 14.31 cre- ates a reachN instance for each state immediately...

Model-Based Design for Embedded Systems- P18

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15.1 Introduction and Requirements. 15.2 Components and Contracts. 15.3 Extended State Machines. 15.3.1 Variables and Ports, Events and Interactions, Continuous Dynamics. 15.3.2 ESM Definition. 15.4 HRC State Machines. 15.5 Mathematical Syntax for the Labeling Functions of HRC State Machines. 15.5.1 Expressions and Differential Expressions. 15.5.2 Invariants. 15.5.3 Mathematical Syntax for Transition Relation trans. 15.5.4 Products in Terms of Guards and...

Model-Based Design for Embedded Systems- P19

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This research has been developed in the framework of the European IP- SPEEDS project number 033471.. In Proceedings of the Third Annual Conference on Embedded. In Proceedings of the Sixth ACM &. Communications of the ACM August 1975.. Proceedings of the IEEE . 16.4.1 Definition of the Operational Semantics for the Synchronization in Continuous/Discrete Global Execution Models. 16.4.2 Distribution of...

Model-Based Design for Embedded Systems- P20

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16.6.6 Definition of the Internal Architecture of the Simulation Interfaces. The specific functionalities of the interfaces were presented in Sec- tion 16.4.2. The hierarchical representation of the generic architecture of the co- simulation model with the elements of the co-simulation library defined.. et al., Formal definition of simulation interfaces in a continuous/discrete co-simulation tool, Proceedings of the 17th IEEE Inter-...

Model-Based Design for Embedded Systems- P21

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g at t n −1 + 0.5h n and t n −1 + 0.75h n , we must fire but not postfire these actors.. But it must not commit the actors to any state changes until it is sure of the step size. Avoiding invocation of the postfire method successfully avoids these state changes, as long as all actors conform...

Model-Based Design for Embedded Systems- P22

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Moore” flows, that is, capable of simultaneously handling both “silicon complexity” and “system complexity.” Designing in the context of increased silicon complexity (i.e., the number of individual elements) is managed through the development of methods capable of handling multiple abstrac- tion levels and models of computation. The urgency of this function- ality for current SoC/SiP design flows is only too...

Model-Based Design for Embedded Systems- P23

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Dynamic power reductions between S 1 and S 2 , of the order of 2–4, are observed. For S 1 , it is clear that the static power comparison is the weak point for optical interconnect, because of continuous biasing of the source (avoiding turn-on times to achieve the required bit rate) and of the receiver circuit (the circuit bandwidth...

Model-Based Design for Embedded Systems- P24

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Fourier transform can be implemented by one of the numerous fast Fourier transform (FFT) techniques. The computational order of the FFT for a 2D input is O(N 2 log 2 N), obviously more efficient when compared to the direct integration method. In continuous theory, the angular spectrum method is an exact solution of the Rayleigh–Sommerfeld formulation. However, when solving the...

Model-Based Design for Embedded Systems- P25

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21.1 Introduction. 21.2 Architecture. 21.3 Design Methodology for MEMS Design. 21.4 Application. 21.5 Accelerometer. 21.5.1 Description of the Accelerometer. 21.5.2 Output Circuitry. 21.5.3 IBIS Drivers. 21.5.4 Interface of the Accelerometer. 21.6 Gyroscope. 21.7 Smart Sensor Simulation. 21.7.1 IBIS Drivers in Sensors. 21.7.2 Interface of the Gyroscope. 21.8 Simulation and Validation. 21.9 Conclusions. One of the possible solu- tions for MEMS...

Model-Based Design for Embedded Systems- P26

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abstraction levels, 612–618 design technology, 608, 610 goals, 610–611. systems on chip (SoC), 603–604 Integrated optical interconnect. system, 668–674. operating models, 123 support, 135–136 multiprocessor system-on-chip. arrival and service curves, 13–14 compact representation, 19–22 MONTIUM system-on-chip. MultiFlex streaming mapping flow abstraction levels, 189–190 application constraints, 191 functional capture, 190–191 high-level platform specification,. system-on-chip Multi-domain systems on chips. performance, 330–331 interconnect...