The Experts below are selected from a list of 4380 Experts worldwide ranked by ideXlab platform
Roger Gassert - One of the best experts on this subject based on the ideXlab platform.
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EMBC - Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
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Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
Marie-christine Fluet - One of the best experts on this subject based on the ideXlab platform.
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EMBC - Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
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Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
Steven Swanson - One of the best experts on this subject based on the ideXlab platform.
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Morpheus: Exploring the Potential of Near-Data Processing for Creating Application Objects in Heterogeneous Computing
Operating Systems Review, 2018Co-Authors: Hung-wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan, Steven SwansonAbstract:In modern computing systems, object deserialization can become a surprisingly important bottleneck-in our test, a set of generalpurpose, highly parallelized applications spends 64% of Total Execution Time deserializing data into objects. This paper presents the Morpheus model, which allows applications to move such computations to a storage device and bypass the overhead on the host system. We use this model to deserialize data into application objects inside storage devices, rather than in the host CPU. Using the Morpheus model for object deserialization avoids unnecessary system overheads, frees up scarce CPU and main memory resources for compute-intensive workloads, saves I/O bandwidth, and reduces power consumption. In heterogeneous, coprocessor- equipped systems, Morpheus allows application objects to be sent directly from a storage device to a co-processor (e.g., a GPU) by peer-to-peer transfer, further improving application performance as well as reducing the CPU and main memory utilizations. This paper implements Morpheus-SSD, an SSD supporting the Morpheus model. Morpheus-SSD improves the performance of object deserialization by 1.66x, reduces power consumption by 7%, uses 42% less energy, and speeds up the Total Execution Time by 1.32x. By using NVMe-P2P that realizes peer-to-peer communication between Morpheus-SSD and a GPU, Morpheus-SSD can speed up the Total Execution Time by 1.39x in a heterogeneous computing platform.
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ISCA - Morpheus: creating application objects efficiently for heterogeneous computing
ACM SIGARCH Computer Architecture News, 2016Co-Authors: Hung-wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan, Steven SwansonAbstract:In high performance computing systems, object deserialization can become a surprisingly important bottleneck---in our test, a set of general-purpose, highly parallelized applications spends 64% of Total Execution Time deserializing data into objects. This paper presents the Morpheus model, which allows applications to move such computations to a storage device. We use this model to deserialize data into application objects inside storage devices, rather than in the host CPU. Using the Morpheus model for object deserialization avoids unnecessary system overheads, frees up scarce CPU and main memory resources for compute-intensive workloads, saves I/O bandwidth, and reduces power consumption. In heterogeneous, co-processor-equipped systems, Morpheus allows application objects to be sent directly from a storage device to a co-processor (e.g., a GPU) by peer-to-peer transfer, further improving application performance as well as reducing the CPU and main memory utilizations. This paper implements Morpheus-SSD, an SSD supporting the Morpheus model. Morpheus-SSD improves the performance of object deserialization by 1.66×, reduces power consumption by 7%, uses 42% less energy, and speeds up the Total Execution Time by 1.32×. By using NVMe-P2P that realizes peer-to-peer communication between Morpheus-SSD and a GPU, Morpheus-SSD can speed up the Total Execution Time by 1.39× in a heterogeneous computing platform.
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Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing
2016 ACM IEEE 43rd Annual International Symposium on Computer Architecture (ISCA), 2016Co-Authors: Hung-wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan, Steven SwansonAbstract:In high performance computing systems, object deserialization can become a surprisingly important bottleneck-in our test, a set of general-purpose, highly parallelized applications spends 64% of Total Execution Time deserializing data into objects. This paper presents the Morpheus model, which allows applications to move such computations to a storage device. We use this model to deserialize data into application objects inside storage devices, rather than in the host CPU. Using the Morpheus model for object deserialization avoids unnecessary system overheads, frees up scarce CPU and main memory resources for compute-intensive workloads, saves I/O bandwidth, and reduces power consumption. In heterogeneous, co-processor-equipped systems, Morpheus allows application objects to be sent directly from a storage device to a coprocessor (e.g., a GPU) by peer-to-peer transfer, further improving application performance as well as reducing the CPU and main memory utilizations. This paper implements Morpheus-SSD, an SSD supporting the Morpheus model. Morpheus-SSD improves the performance of object deserialization by 1.66×, reduces power consumption by 7%, uses 42% less energy, and speeds up the Total Execution Time by 1.32×. By using NVMe-P2P that realizes peer-to-peer communication between Morpheus-SSD and a GPU, Morpheus-SSD can speed up the Total Execution Time by 1.39× in a heterogeneous computing platform.
Kalyan S. Perumalla - One of the best experts on this subject based on the ideXlab platform.
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Winter Simulation Conference - Towards large-scale what-if traffic simulation with exact-differential simulation
2015 Winter Simulation Conference (WSC), 2015Co-Authors: Masatoshi Hanai, Toyotaro Suzumura, Georgios Theodoropoulos, Kalyan S. PerumallaAbstract:To analyze and predict a behavior of large-scale traffics with what-if simulation, it needs to repeat many Times with various patterns of what-if scenarios. In this paper, we propose new techniques to efficiently repeat what-if simulation tasks with exact-differential simulation. The paper consists of two main efforts: what-if scenario filtering and exact-differential cloning. The what-if scenario filtering enables to pick up meaningful what-if scenarios and reduces the number of what-if scenarios, which directly decreases Total Execution Time of repeating. The exact-differential cloning enables to execute exact-differential simulation tasks in parallel to improve its Total Execution Time. In our preliminary evaluation in Tokyo bay area's traffic simulation, we show potential of our proposals by estimating how the what-if scenarios filtering reduces the number of meaningless scenarios and also by estimating a performance improvement from our previous works with the exact-differential cloning.
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Towards large-scale what-if traffic simulation with exact-differential simulation
2015 Winter Simulation Conference (WSC), 2015Co-Authors: Masatoshi Hanai, Toyotaro Suzumura, Georgios Theodoropoulos, Kalyan S. PerumallaAbstract:To analyze and predict a behavior of large-scale traffics with what-if simulation, it needs to repeat many Times with various patterns of what-if scenarios. In this paper, we propose new techniques to efficiently repeat what-if simulation tasks with exact-differential simulation. The paper consists of two main efforts: what-if scenario filtering and exact-differential cloning. The what-if scenario filtering enables to pick up meaningful what-if scenarios and reduces the number of what-if scenarios, which directly decreases Total Execution Time of repeating. The exact-differential cloning enables to execute exact-differential simulation tasks in parallel to improve its Total Execution Time. In our preliminary evaluation in Tokyo bay area's traffic simulation, we show potential of our proposals by estimating how the what-if scenarios filtering reduces the number of meaningless scenarios and also by estimating a performance improvement from our previous works with the exact-differential cloning.
Olivier Lambercy - One of the best experts on this subject based on the ideXlab platform.
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EMBC - Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
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Effects of 2D/3D visual feedback and visuomotor collocation on motor performance in a Virtual Peg Insertion Test
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012Co-Authors: Marie-christine Fluet, Olivier Lambercy, Roger GassertAbstract:This paper evaluates the influence of three different types of visual feedback on the motor performance of healthy subjects during the repeated Execution of a Virtual Peg Insertion Test developed for the assessment of sensorimotor function of arm and hand in neurologically impaired subjects. One test trial consists of the grasping and insertion of 9 pegs into 9 holes using a haptic display with instrumented grasping handle. Three groups performed 10 trials initially on three different setups (group 1 with standard 2D visual feedback, group 2 with 3D, and group 3 with collocated 3D visual feedback) followed by 10 more trials with the setup with 2D visual feedback. The Total Execution Time and the mean collision force as well as the Time and the collision force for 6 different movement phases were compared between groups and analyzed in function of the number of repetitions. Results showed significantly lower Time to approach and align the visual cursor with the peg with the 2D setup over the first 10 trials compared to the two other groups, suggesting limitations of the 3D setup. Furthermore, a significant decrease of the Total Execution Time was found in the first 10 trials for all groups. For the 10 following trials, only group 3 showed a significant decrease in the Total Execution Time, suggesting that the learning did not transfer to the 2D setup for this group.
