Results 11 to 20 of about 1,862 (208)

Signature extraction from the dynamic responses of a bridge subjected to a moving vehicle using complete ensemble empirical mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
Technology that measures bridge responses when a vehicle is crossing over it for structural health monitoring has been under development for approximately a decade.
Feng Xiao, Gang S Chen, Wael Zatar, J Leroy Hulsey   +3 more
doaj   +1 more source

A New Forecasting Approach for Oil Price Using the Recursive Decomposition–Reconstruction–Ensemble Method with Complexity Traits

Entropy, 2023
The subject of oil price forecasting has obtained an incredible amount of interest from academics and policymakers in recent years due to the widespread impact that it has on various economic fields and markets.
Fang Wang, Menggang Li, Ruopeng Wang
doaj   +1 more source

Development of novel hybrid models for the prediction of Covid-19 in Kuwait

Kuwait Journal of Science, 2021
The first case of coronavirus 2019 (Covid-19) in Kuwait was reported on February 24, 2020, and then day by day cases of Covid-19 keep on increasing.
Ahmad Aldousari, Maria Qurban, Ijaz Hussain, Maha Al-Hajeri   +3 more
doaj   +1 more source

Malware detection in the cloud under Ensemble Empirical Mode Decomposition [PDF]

2015 International Conference on Computing, Networking and Communications (ICNC), 2015
Cloud networks underpin most of todays’ socioeconomical\ud Information Communication Technology (ICT) environments\ud due to their intrinsic capabilities such as elasticity and\ud service transparency. Undoubtedly, this increased dependence of numerous always-on services with the cloud is also subject to a number of security threats.
Angelos K. Marnerides, Petros Spachos, Periklis Chatzimisios, Andreas U. Mauthe   +3 more
openaire   +1 more source

Complementary ensemble adaptive sparsest narrow-band decomposition method and its applications to the gear crack fault diagnosis

Advances in Mechanical Engineering, 2020
Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng, Junhang Chen, Ruiqiong Luo, Xiaojun Xie, Xianyu Zhu, Yanfei Liu, QingHua Lu, Kuanfang He   +7 more
doaj   +1 more source

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition [PDF]

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) architectures. Relative to a sequential C implementation, our double precision GPU implementation, using the CUDA programming model, achieves up to 48.6x speedup on NVIDIA Tesla ...
Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsin Hsu, Norden E. Huang, Wen-mei W. Hwu   +5 more
openaire   +1 more source

Research of partial discharge detection for XLPE cable

Gong-kuang zidonghua, 2014
In order to extract characteristics of partial discharge signals, the paper proposed an adaptive threshold algorithm for processing partial discharge data by using ensemble empirical mode decomposition method for analysis of XLPE cable partial discharge ...
TANG Zhongyu, CHU Xin, HAN Gang, YU Yuese   +3 more
doaj   +1 more source

PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2009
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time series into its intrinsic modes of oscillation, which can then be used in the calculation of the instantaneous phase and frequency. Ensemble EMD (EEMD), where the final EMD is estimated by averaging numerous EMD runs with the addition of noise, was an ...
Rami K. Niazy, Christian F. Beckmann, J. Michael Brady, Stephen M. Smith 0001   +3 more
openaire   +2 more sources

Enhancing Performance of Single-Channel SSVEP-Based Visual Acuity Assessment via Mode Decomposition

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
This study aimed to improve the performance of single-channel steady-state visual evoked potential (SSVEP)-based visual acuity assessment by mode decomposition methods.
Xiaowei Zheng, Xun Zhang, Guanghua Xu, Rui Zhang   +3 more
doaj   +1 more source

Filtering of surface EMG using ensemble empirical mode decomposition [PDF]

Medical Engineering & Physics, 2012
Surface electromyogram (EMG) is often corrupted by three types of noises, i.e. power line interference (PLI), white Gaussian noise (WGN), and baseline wandering (BW). A novel framework based primarily on empirical mode decomposition (EMD) was developed to reduce all the three noise contaminations from surface EMG.
Xu, Zhang, Ping, Zhou
openaire   +2 more sources