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Zixue Cheng – One of the best experts on this subject based on the ideXlab platform.

  • recognition of daily routines and Accidental Event with multipoint wearable inertial sensing for seniors home care
    Systems Man and Cybernetics, 2017
    Co-Authors: Lei Jing, Zixue Cheng

    Abstract:

    Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and Accidental Event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover, the experiment shows that the combination of multiple sensors on different locations of upper, middle, lower body parts can improve both of the accuracy and stability (one node: 78.1%±8.0%, two nodes: 90.8%±4.7%, and three nodes are 94.3%±4.4%). Finally, we investigate the detection of fall down from the other ten daily activities. The accuracy is 87.5% with mean and standard deviation as the features, and improved to 100% with energy as the additional feature.

  • SMC – Recognition of daily routines and Accidental Event with multipoint wearable inertial sensing for seniors home care
    2017 IEEE International Conference on Systems Man and Cybernetics (SMC), 2017
    Co-Authors: Lei Jing, Zixue Cheng

    Abstract:

    Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and Accidental Event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover, the experiment shows that the combination of multiple sensors on different locations of upper, middle, lower body parts can improve both of the accuracy and stability (one node: 78.1%±8.0%, two nodes: 90.8%±4.7%, and three nodes are 94.3%±4.4%). Finally, we investigate the detection of fall down from the other ten daily activities. The accuracy is 87.5% with mean and standard deviation as the features, and improved to 100% with energy as the additional feature.

Lei Jing – One of the best experts on this subject based on the ideXlab platform.

  • recognition of daily routines and Accidental Event with multipoint wearable inertial sensing for seniors home care
    Systems Man and Cybernetics, 2017
    Co-Authors: Lei Jing, Zixue Cheng

    Abstract:

    Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and Accidental Event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover, the experiment shows that the combination of multiple sensors on different locations of upper, middle, lower body parts can improve both of the accuracy and stability (one node: 78.1%±8.0%, two nodes: 90.8%±4.7%, and three nodes are 94.3%±4.4%). Finally, we investigate the detection of fall down from the other ten daily activities. The accuracy is 87.5% with mean and standard deviation as the features, and improved to 100% with energy as the additional feature.

  • SMC – Recognition of daily routines and Accidental Event with multipoint wearable inertial sensing for seniors home care
    2017 IEEE International Conference on Systems Man and Cybernetics (SMC), 2017
    Co-Authors: Lei Jing, Zixue Cheng

    Abstract:

    Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and Accidental Event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover, the experiment shows that the combination of multiple sensors on different locations of upper, middle, lower body parts can improve both of the accuracy and stability (one node: 78.1%±8.0%, two nodes: 90.8%±4.7%, and three nodes are 94.3%±4.4%). Finally, we investigate the detection of fall down from the other ten daily activities. The accuracy is 87.5% with mean and standard deviation as the features, and improved to 100% with energy as the additional feature.

R.j.m. Konings – One of the best experts on this subject based on the ideXlab platform.

  • Structural and thermodynamic study of Cs3Na(MoO4)2: Margin to the safe operation of sodium cooled fast reactors
    Journal of Solid State Chemistry, 2019
    Co-Authors: A.l. Smith, G. Kauric, L. Van Eijck, K. Goubitz, Nicolas Clavier, G. Wallez, R.j.m. Konings

    Abstract:

    Neutron diffraction measurements of the double molybdate Cs3Na(MoO4)2 have been performed for the first time in this work and the crystal structure refined using the Rietveld method. The thermal expansion of this trigonal phase, in space group , measured using high temperature X-ray diffraction (XRD), remains moderate: αa = 31·10−6 K−1 in the temperature range T = (298−723) K. The melting temperature of this compound has been determined at = (777±5) K using Differential Scanning Calorimetry (DSC). No phase transition was detected, neither by DSC, nor by high temperature XRD or high temperature Raman spectroscopy, which disagrees with the literature data of Zolotova et al. (2016), who reported a reversible phase transition around 663 K. Finally, thermodynamic equilibrium calculations have been performed to assess the probability of formation of Cs3Na(MoO4)2 inside the fuel pin of a Sodium cooled Fast Reactor by reaction between the cesium molybdate phase Cs2MoO4, which forms at the pellet rim at high burnup, the fission product molybdenum (either as metallic or oxide phase), and the liquid sodium coolant in the Accidental Event of a breach of the stainless steel cladding and sodium ingress in the failed pin.