Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Weng Khuen Ho"'
Autor:
Xuebing Chen, Lu Sun, Tengpeng Chen, Yuhao Sun, Rusli, King Jet Tseng, Keck Voon Ling, Weng Khuen Ho, Gehan A. J. Amaratunga
Publikováno v:
Energies, Vol 12, Iss 8, p 1552 (2019)
Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational efficiency. Using ILP, a placement with minimum number of Phasor Measurement Units (PMUs) and ma
Externí odkaz:
https://doaj.org/article/c073dab63c4d4d3b807f0081e059d90c
Publikováno v:
Chinese Journal of Aeronautics. 36:354-365
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 16:222-232
Wearable Artificial Intelligence-of-Things (AIoT) requires edge devices to be resource and energy-efficient. In this paper, we design and implement an efficient binary convolutional neural network (bCNN) algorithm utilizing function-merging and block
Publikováno v:
IEEE transactions on biomedical circuits and systems. 16(5)
Wearable Artificial Intelligence-of-Things (AIoT) devices exhibit the need to be resource and energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for converting ECG signals to binary image, which can be combined wi
Prediction of Remaining Useful Lifetime(RUL) in the modern manufacturing and automation workplace for machines and tools is essential in Industry 4.0. This is clearly evident as continuous tool wear, or worse, sudden machine breakdown will lead to va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::125fb275b2d7832094987b311f729afa
http://arxiv.org/abs/2207.01219
http://arxiv.org/abs/2207.01219
Publikováno v:
IEEE Systems Journal. 14:2801-2812
In power system state estimation, the robust Least Absolute Value robust dynamic estimator is well-known. However, the covariance of the state estimation error cannot be obtained easily. In this paper, an analytical equation is derived using Influenc
Publikováno v:
IEEE Systems Journal. 14:771-781
In this paper, we propose an optimal robust state estimator using maximum likelihood optimization with the $t$ -distribution noise model. In robust statistics literature, the $t$ -distribution is used to model Gaussian and non-Gaussian statistics. Th
Publikováno v:
ISCAS
Wearable Artificial Intelligence-of-Things (AIoT) devices demand smart gadgets that are both resource and energy-efficient. In this paper, we explore efficient implementation of binary convolutional neural network employing function merging and block
Publikováno v:
IEEE Transactions on Control Systems Technology. 26:915-926
An indoor tracking system with forgetting factor and generalized $t$ -distribution (GT) noise model is proposed in this paper. It consists of first using the weighted centroid formulas to give an estimate of the position and then a filter with GT noi
Publikováno v:
Automatica. 132:109789
In this paper, a recursive t -distribution noise model based maximum likelihood estimation algorithm for discrete-time dynamic state estimation is proposed. The proposed estimator is robust to outliers because the “thick tail” of the t -distribut