The Experts below are selected from a list of 51468 Experts worldwide ranked by ideXlab platform
A Jerraya - One of the best experts on this subject based on the ideXlab platform.
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systematic design flow for fast hardware software Prototype generation from bus functional model for mpsoc
Rapid System Prototyping, 2005Co-Authors: I Petkov, P Amblard, M Hristov, A JerrayaAbstract:System design at higher level of abstraction is a promising technique to deal with the increasing complexity of the modern embedded systems. Current MPSoC are designed at register transfer level. The bus functional model is a higher level of abstraction that allows the integration of heterogeneous hardware, software components and sophisticated communication interconnects to adapt different description models. This system abstraction model makes it possible to accelerate the simulation but ignores the accuracy of the developed circuit. This paper studies an example of system design transformation from a high level of abstraction to the Physical Prototype of a multiprocessor system on chip. With this work we propose a systematic and efficient design flow for system on chip integration from a bus functional level of abstraction towards Physical prototyping of embedded systems. The flow is applied to accelerate an MPSoC example design.
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Systematic Design Flow For Fast Hardware/Software Prototype Generation From Bus Functional Model For MPSoC
2005Co-Authors: I Petkov, P Amblard, M Hristov, A JerrayaAbstract:System design at higher level of abstraction is a promising technique to deal with the increasing complexity of the modern embedded systems. Current MPSoC are designed at Register Transfer Level. The Bus Functional Model is a higher level of abstraction that allows the integration of heterogeneous hardware, software components and sophisticated communication interconnects to adapt different description models. This system abstraction model makes it possible to accelerate the simulation but ignores the accuracy of the developed circuit. This paper studies an example of system design transformation from a high level of abstraction to the Physical Prototype of a multiprocessor system on chip. With this work we propose a systematic and efficient design flow for system on chip integration from a Bus Functional Level of abstraction towards Physical prototyping of embedded systems. The flow is applied to accelerate an MPSoC example design.
Russ Tedrake - One of the best experts on this subject based on the ideXlab platform.
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Dynamics and trajectory optimization for a soft spatial fluidic elastomer manipulator
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015Co-Authors: Andrew D. Marchese, Russ TedrakeAbstract:The goal of this work is to develop a soft robotic manipulation system that is capable of autonomous, dynamic, and safe interactions with humans and its environment. First, we develop a dynamic model for a multi-body fluidic elastomer manipulator that is composed entirely from soft rubber and subject to the self-loading effects of gravity. Then, we present a strategy for independently identifying all unknown components of the system: the soft manipulator, its distributed fluidic elastomer actuators, as well as drive cylinders that supply fluid energy. Next, using this model and trajectory optimization techniques we find locally optimal open-loop policies that allow the system to perform dynamic maneuvers we call grabs. In 37 experimental trials with a Physical Prototype, we successfully perform a grab 92% of the time. By studying such an extreme example of a soft robot, we can begin to solve hard problems inhibiting the mainstream use of soft machines.
I Petkov - One of the best experts on this subject based on the ideXlab platform.
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systematic design flow for fast hardware software Prototype generation from bus functional model for mpsoc
Rapid System Prototyping, 2005Co-Authors: I Petkov, P Amblard, M Hristov, A JerrayaAbstract:System design at higher level of abstraction is a promising technique to deal with the increasing complexity of the modern embedded systems. Current MPSoC are designed at register transfer level. The bus functional model is a higher level of abstraction that allows the integration of heterogeneous hardware, software components and sophisticated communication interconnects to adapt different description models. This system abstraction model makes it possible to accelerate the simulation but ignores the accuracy of the developed circuit. This paper studies an example of system design transformation from a high level of abstraction to the Physical Prototype of a multiprocessor system on chip. With this work we propose a systematic and efficient design flow for system on chip integration from a bus functional level of abstraction towards Physical prototyping of embedded systems. The flow is applied to accelerate an MPSoC example design.
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Systematic Design Flow For Fast Hardware/Software Prototype Generation From Bus Functional Model For MPSoC
2005Co-Authors: I Petkov, P Amblard, M Hristov, A JerrayaAbstract:System design at higher level of abstraction is a promising technique to deal with the increasing complexity of the modern embedded systems. Current MPSoC are designed at Register Transfer Level. The Bus Functional Model is a higher level of abstraction that allows the integration of heterogeneous hardware, software components and sophisticated communication interconnects to adapt different description models. This system abstraction model makes it possible to accelerate the simulation but ignores the accuracy of the developed circuit. This paper studies an example of system design transformation from a high level of abstraction to the Physical Prototype of a multiprocessor system on chip. With this work we propose a systematic and efficient design flow for system on chip integration from a Bus Functional Level of abstraction towards Physical prototyping of embedded systems. The flow is applied to accelerate an MPSoC example design.
André Luís Santos De Pinho - One of the best experts on this subject based on the ideXlab platform.
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minimum setup minimum aberration two level split plot type designs for Physical Prototype testing
Quality and Reliability Engineering International, 2016Co-Authors: Carla A. Vivacqua, André Luís Santos De PinhoAbstract:Althoughnew technologies allow for less effortinprototyping, Physical testing still remainsan importantstep in theproductdevelopment cycle. Well-planned experiments are useful to guide the decision-making process. During the design of anexperiment, one of the challenges is to balance limited resources and system constraints to obtain useful information. It iscommon that Prototypes arecomposed of several parts,with some parts moredifficultto assemble thanothers. And, usually,there is only one piece available of each part type and a large number of different setups. Under these conditions, designswith randomization restrictions become attractive approaches. Considering this scenario, a new and additional criterion,minimum setup, to construct split-plot type designs is presented. Designs with the minimum number of setups of the moredifficult parts, which are especially useful for screening purposes in Physical Prototype testing, are discussed. The use of theproposed criterion combined with minimum aberration for selecting a regular design is shown through a real application intesting car Prototypes. As a tool to practitioners, catalogs of selected 32-run minimum setup minimum aberration split-split-plot and split-split-split-plot designs are presented. More complete catalogs are available as Supporting information.Copyright © 2015 John Wiley & Sons, Ltd.Keywords: fractional factorial design; hard-to-change factor; regular design; restricted randomization; screening design
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Minimum Setup Minimum Aberration Two‐level Split‐plot Type Designs for Physical Prototype Testing
Quality and Reliability Engineering International, 2015Co-Authors: Carla A. Vivacqua, André Luís Santos De PinhoAbstract:Althoughnew technologies allow for less effortinprototyping, Physical testing still remainsan importantstep in theproductdevelopment cycle. Well-planned experiments are useful to guide the decision-making process. During the design of anexperiment, one of the challenges is to balance limited resources and system constraints to obtain useful information. It iscommon that Prototypes arecomposed of several parts,with some parts moredifficultto assemble thanothers. And, usually,there is only one piece available of each part type and a large number of different setups. Under these conditions, designswith randomization restrictions become attractive approaches. Considering this scenario, a new and additional criterion,minimum setup, to construct split-plot type designs is presented. Designs with the minimum number of setups of the moredifficult parts, which are especially useful for screening purposes in Physical Prototype testing, are discussed. The use of theproposed criterion combined with minimum aberration for selecting a regular design is shown through a real application intesting car Prototypes. As a tool to practitioners, catalogs of selected 32-run minimum setup minimum aberration split-split-plot and split-split-split-plot designs are presented. More complete catalogs are available as Supporting information.Copyright © 2015 John Wiley & Sons, Ltd.Keywords: fractional factorial design; hard-to-change factor; regular design; restricted randomization; screening design
Baleshwar Ram - One of the best experts on this subject based on the ideXlab platform.
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Review Over A Leaf Spring for Automobile Suspension System
International Journal of Research, 2016Co-Authors: Harish Kumar Patel, Vipin Kumar Patel, Aman Vishwakarma, Baleshwar RamAbstract:The aim of this paper is to represent general study of design & analysis of leaf spring. Leaf springs are normally used in the vehicle suspension system . Many research paper has been done for improving the performance of leaf spring. The automobile industry has shown interest in the replacement of steel spring with composite leaf spring. In this paper is also analysis of failure in leaf spring. The automakers can reduce product development cost and time. The predictive capability of computer aided engineering tool has progressed to point where much of the design verification is now using computer simulation rather than Physical Prototype testing. Keyword- Leaf spring; CAE tool.
