The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufac...
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ISBN:
(纸本)078034278X
The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufacturing systems, and supply chain systems. ProModel is a Windows based system with an intuitive graphical interface and object-oriented modeling constructs that eliminate the need for programming. It combines the flexibility of a general purpose simulation language with the convenience of a data-driven simulator. In addition, ProModel utilizes an optimization tool called SimRunner that performs sophisticated "what-if" analysis by running automatic factorial design of experiments on the model, providing the best answer possible. This tutorial provides an overview of the ProModel optimization Suite and presents its modeling, analysis, and optimization capabilities.
In this paper, simulation of dynamic characteristics of pneumatically driven micropumps is presented. PSPICE was used as a system level simulator. The SPICE model employed equivalent electrical circuit parameters extr...
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ISBN:
(纸本)0819426806
In this paper, simulation of dynamic characteristics of pneumatically driven micropumps is presented. PSPICE was used as a system level simulator. The SPICE model employed equivalent electrical circuit parameters extracted by an energy based calculation method. The thickness, side length of the diaphragm and forward resistance of valves were selected as variables to study the effect of design parameters in the performance of micropumps. Since the flow and pressure response of micropumps are similar to those of a differential electrical circuit, two parameters, namely, maximum amplitude and time constant of the system were used to discuss the simulation results.-The results are of fundamental importance to the understanding and optimization of the micropump.
We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minim...
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We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minimize the instruction cache misses for a given application, instruction cache size and organization. Based on this performance optimization technique, we constructed a strategy to search for a minimal area processor core, and an instruction and data cache which satisfy the performance characteristics of a set of target applications. The synthesis platform integrates the existing modeling, profiling, and simulation tools with the developed system-level synthesis tools. The effectiveness of the approach is demonstrated on a variety of modern real-life multimedia and communication applications.
The performance and efficiency of event drivensimulations, such as VHDL and Verilog simulation, depend on the number of events that occur during the simulation. We classify events into two categories, sensitive event...
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The performance and efficiency of event drivensimulations, such as VHDL and Verilog simulation, depend on the number of events that occur during the simulation. We classify events into two categories, sensitive events and insensitive events, according to the necessity of simulations, and also show a classification algorithm for both combinational logic circuits, and synchronous logic circuits and implement the optimization methodology that eliminates unnecessary simulations caused by the insensitive events. Five experiments show that optimized VHDL programs run about two times faster than the original ones.
We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minim...
详细信息
ISBN:
(纸本)9780818682001
We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minimize the instruction cache misses for a given application, instruction cache size and organization. Based on this performance optimization technique, we constructed a strategy to search for a minimal-area processor core, and an instruction and data cache which satisfy the performance characteristics of a set of target applications. The synthesis platform integrates the existing modeling, profiling, and simulation tools with the developed system-level synthesis tools. The effectiveness of the approach is demonstrated on a variety of modern real-life multimedia and communication applications.
We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minim...
详细信息
We developed a new hierarchical modular approach for synthesis of area-minimal core-based data-intensive systems. The optimization approach employs a novel global least-constraining most-constrained heuristic to minimize the instruction cache misses for a given application, instruction cache size and organization. Based on this performance optimization technique, we constructed a strategy to search for a minimal area processor core, and an instruction and data cache which satisfy the performance characteristics of a set of target applications. The synthesis platform integrates the existing modeling, profiling, and simulation tools with the developed system-level synthesis tools. The effectiveness of the approach is demonstrated on a variety of modern real-life multimedia and communication applications.
The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production and flexible manu...
详细信息
ISBN:
(纸本)0780333837
The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production and flexible manufacturing systems. ProModel is a Windows based system with an intuitive graphical interface and object-oriented modeling constructs that eliminate the need for programming, It combines the flexibility of a general purpose simulation language with the convenience of a data-driven simulator. In addition, ProModel utilizes an optimization tool called SimRunner which performs sophisticated ''what-if'' analysis by running automatic factorial design of experiments on the model, providing the best answer possible. This tutorial provides an overview of the ProModel optimization Suite and presents its modeling, analysis, and optimization capabilities.
The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production and flexible manu...
详细信息
The ProModel optimization Suite is a powerful yet easy-to-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production and flexible manufacturing systems. ProModel is a Windows based system with an intuitive graphical interface and object-oriented modeling constructs that eliminate the need for programming. It combines the flexibility of a general purpose simulation language with the convenience of a data-driven simulator. In addition, ProModel utilizes an optimization tool called SimRunner which performs sophisticated "what-if" analysis by running automatic factorial design of experiments on the model, providing the best answer possible. This tutorial provides an overview of the ProModel optimization Suite and presents its modeling, analysis, and optimization capabilities.
To accelerate the design cycle for analog and mixed-signal systems, we have proposed a top-down, constraint-driven design methodology. The key idea of the proposed methodology is hierarchically propagating constraints...
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To accelerate the design cycle for analog and mixed-signal systems, we have proposed a top-down, constraint-driven design methodology. The key idea of the proposed methodology is hierarchically propagating constraints from performance specifications to layout. Consequently, it is essential to provide the necessary tools and techniques enabling the efficient constraint propagation. To illustrate the applicability of the proposed methodology to the design of larger systems, we present in this paper the complete design flow for a video driver system. Critical advantages of the methodology illustrated with this design example include avoiding costly low level re-designs and getting working silicon parts from the first run. Following our approach, a jitter constraint is imposed at the system level and then is propagated hierarchically to the circuit blocks and layout, using behavioral modeling and simulation. Experimental results are presented from working fabricated parts.
This paper describes a method for analysis and optimization of multi-cylinder regenerative machines. The authors have devised the method in a project at KUBOTA to develop an improved gas engine-driven heat pump using ...
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This paper describes a method for analysis and optimization of multi-cylinder regenerative machines. The authors have devised the method in a project at KUBOTA to develop an improved gas engine-driven heat pump using both shaft power and exhaust heat sources. Based on combinations of included Stirling cycles, this analytical approach allows use of well-established and validated Stirling simulation models to optimize partial systems. The technique further provides a method of integrating such optimal partial-system Stirling cycles into a complex combination system. It is shown that this remains an optimum solution for the three-cylinder fire assisted heat pump case. Results from hardware tests of the main Stirling heat pump cycle (2-cylinders) are given and compared with analytical expectations using the Sage simulation code. This is extended to validate Sage modelling of 3-cylinder machines.
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