The Experts below are selected from a list of 8244 Experts worldwide ranked by ideXlab platform
Elizabeth A. Croft - One of the best experts on this subject based on the ideXlab platform.
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Sensor uncertainty management for an encapsulated Logical Device architecture. Part II: a control policy for sensor uncertainty
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: D. Langlois, J.d. Elliott, Elizabeth A. CroftAbstract:For Part I see ACC, Arlington, VA. USA (2001). A procedure to perform data fusion inside a low-level control loop was developed and implemented on a 1-DOF manipulator. This procedure uses sensory data provided by low-level and non-dedicated high-level sensors, at different rates. Fusion of the multiple feedback signals generates a signal with a smaller uncertainty level. The performance of the control scheme is directly related to the quality and relevance of the feedback signal. In this control policy, data fusion is performed with the data coming from the different sensors, once they have been time-correlated using Kalman filters. Also, In order to stabilize the fused feedback signal when there is no data available from the slower sensors, a Kalman filter is used to observe and generate a prediction of the fused measurement signal, which can then be used by the data fusion process. The slow sensor processing delay compensation and fused measurement stabilization are independent of the fusion process. Therefore, any data fusion process can be used with this procedure, as long as the process respects the real-time constraint of the low-level control loop.
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Sensor uncertainty management for an encapsulated Logical Device architecture: Part I - fusion of uncertain sensor data
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In this paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
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A systematic approach to automation workcell design: the encapsulated Logical Device architecture
Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590), 1Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In the paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture (ELDs) to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
D. Langlois - One of the best experts on this subject based on the ideXlab platform.
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Sensor uncertainty management for an encapsulated Logical Device architecture. Part II: a control policy for sensor uncertainty
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: D. Langlois, J.d. Elliott, Elizabeth A. CroftAbstract:For Part I see ACC, Arlington, VA. USA (2001). A procedure to perform data fusion inside a low-level control loop was developed and implemented on a 1-DOF manipulator. This procedure uses sensory data provided by low-level and non-dedicated high-level sensors, at different rates. Fusion of the multiple feedback signals generates a signal with a smaller uncertainty level. The performance of the control scheme is directly related to the quality and relevance of the feedback signal. In this control policy, data fusion is performed with the data coming from the different sensors, once they have been time-correlated using Kalman filters. Also, In order to stabilize the fused feedback signal when there is no data available from the slower sensors, a Kalman filter is used to observe and generate a prediction of the fused measurement signal, which can then be used by the data fusion process. The slow sensor processing delay compensation and fused measurement stabilization are independent of the fusion process. Therefore, any data fusion process can be used with this procedure, as long as the process respects the real-time constraint of the low-level control loop.
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Sensor uncertainty management for an encapsulated Logical Device architecture: Part I - fusion of uncertain sensor data
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In this paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
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A systematic approach to automation workcell design: the encapsulated Logical Device architecture
Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590), 1Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In the paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture (ELDs) to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
J.d. Elliott - One of the best experts on this subject based on the ideXlab platform.
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Sensor uncertainty management for an encapsulated Logical Device architecture. Part II: a control policy for sensor uncertainty
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: D. Langlois, J.d. Elliott, Elizabeth A. CroftAbstract:For Part I see ACC, Arlington, VA. USA (2001). A procedure to perform data fusion inside a low-level control loop was developed and implemented on a 1-DOF manipulator. This procedure uses sensory data provided by low-level and non-dedicated high-level sensors, at different rates. Fusion of the multiple feedback signals generates a signal with a smaller uncertainty level. The performance of the control scheme is directly related to the quality and relevance of the feedback signal. In this control policy, data fusion is performed with the data coming from the different sensors, once they have been time-correlated using Kalman filters. Also, In order to stabilize the fused feedback signal when there is no data available from the slower sensors, a Kalman filter is used to observe and generate a prediction of the fused measurement signal, which can then be used by the data fusion process. The slow sensor processing delay compensation and fused measurement stabilization are independent of the fusion process. Therefore, any data fusion process can be used with this procedure, as long as the process respects the real-time constraint of the low-level control loop.
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Sensor uncertainty management for an encapsulated Logical Device architecture: Part I - fusion of uncertain sensor data
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In this paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
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A systematic approach to automation workcell design: the encapsulated Logical Device architecture
Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590), 1Co-Authors: J.d. Elliott, D. Langlois, Elizabeth A. CroftAbstract:A systematic method of integrating high-level decision making and planning systems with low-level sensing, actuation and control is essential for the efficient implementation and maintenance of intelligent industrial automation systems. Additionally, for increased reliability in operation, a system should consider data as uncertain and all decisions should be made using data of an appropriate level of certainty. In the paper the encapsulated Logical Device (ELD) architecture is presented as an architecture that is modular and scalable. The ELD architecture allows the various agents in the architecture (ELDs) to be implemented in a distributed fashion on multiple hardware and software platforms. Additionally, the ELD contains a fusion mechanism that manages and propagates uncertain data throughout the architecture. Data and knowledge uncertainty is represented in this architecture using uncertainty ellipsoids. Finally, the ELD architecture bridges low-level real-time control with high-level event-driven decision-making and planning.
Vann Mcgee - One of the best experts on this subject based on the ideXlab platform.
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Thought, thoughts, and deflationism
Philosophical Studies, 2016Co-Authors: Vann McgeeAbstract:Deflationists about truth embrace the positive thesis that the notion of truth is useful as a Logical Device, for such purposes as blanket endorsement, and the negative thesis that the notion doesn’t have any legitimate applications beyond its Logical uses, so it cannot play a significant theoretical role in scientific inquiry or causal explanation. Focusing on Christopher Hill as exemplary deflationist, the present paper takes issue with the negative thesis, arguing that, without making use of the notion of truth conditions, we have little hope for a scientific understanding of human speech, thought, and action. For the reference relation, the situation is different. Inscrutability arguments give reason to think that a more-than-deflationary theory of reference is unattainable. With respect to reference, deflationism is the only game in town.
Myoungsoo Jung - One of the best experts on this subject based on the ideXlab platform.
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Enabling Realistic Logical Device Interface and Driver for NVM Express Enabled Full System Simulations
International Journal of Parallel Programming, 2018Co-Authors: Donghyun Gouk, Jie Zhang, Myoungsoo JungAbstract:Data volumes are drastically increasing, immense information created over the past 10 years exceeds the storage capacity across all media types. While the storage systems play a critical role in modern memory hierarchy, their interfaces and simulation models are overly simplified by computer-system architecture research. Specifically, gem5, a popular full system simulator, includes only Integrated Drive Electronics interface, which was originally designed three decades ago, and simulates the underlying storage Device with a constant latency value. In this work, we implement an NVMe disk and controller to enable a realistic storage stack of next generation interfaces and integrate them into gem5 and a high-fidelity solid state disk simulation model. We verify the functionalities of NVMe that we implemented, using a standard user-level tool, called NVMe command line interface. Our evaluation results reveal that the performance of a high performance SSD can significantly vary based on different software stacks and storage controllers even under the same condition of Device configurations and degrees of parallelism. Specifically, the traditional interface caps the performance of the SSD by 95%, whereas NVMe interface we implement in gem5 can successfully reveal the true performance aggregated by many underlying flash-based media.
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Enabling Realistic Logical Device Interface and Driver for NVM Express Enabled Full System Simulations
International Journal of Parallel Programming, 2018Co-Authors: Donghyun Gouk, Jie Zhang, Myoungsoo JungAbstract:Data volumes are drastically increasing, immense information created over the past 10 years exceeds the storage capacity across all media types. While the storage systems play a critical role in modern memory hierarchy, their interfaces and simulation models are overly simplified by computer-system architecture research. Specifically, gem5, a popular full system simulator, includes only Integrated Drive Electronics interface, which was originally designed three decades ago, and simulates the underlying storage Device with a constant latency value. In this work, we implement an NVMe disk and controller to enable a realistic storage stack of next generation interfaces and integrate them into gem5 and a high-fidelity solid state disk simulation model. We verify the functionalities of NVMe that we implemented, using a standard user-level tool, called NVMe command line interface. Our evaluation results reveal that the performance of a high performance SSD can significantly vary based on different software stacks and storage controllers even under the same condition of Device configurations and degrees of parallelism. Specifically, the traditional interface caps the performance of the SSD by 95%, whereas NVMe interface we implement in gem5 can successfully reveal the true performance aggregated by many underlying flash-based media.
