Results 21 to 30 of about 1,681 (208)

Pipeline signal feature extraction method based on multi-feature entropy fusion and local linear embedding

Systems Science & Control Engineering, 2022
This paper considers the problem of effective feature extraction of acoustic signals from oil and gas pipelines under different working conditions. A feature extraction of pipeline leakage detection method is proposed based on multi-feature entropy ...
Dandi Yang, Jingyi Lu, Hongli Dong, Zhongrui Hu   +3 more
doaj   +1 more source

Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm

Environmental Science and Pollution Research, 2023
Abstract To promote the market-oriented mechanism in carbon emission reduction, improve the role of carbon price forecasting in guiding investors to make quantitative investments, this paper constructs a error corrected carbon price forecasting model integrated fuzzy dispersion entropy and deep learning paradigm, namely, ICEEMDAN-FDE-VMD-PSO ...
Po Yun, Yingtong Zhou, Chenghui Liu, Yaqi Wu, Di Pan   +4 more
openaire   +2 more sources

A comparative study of four types of multi-scale entropies in feature extraction of underwater acoustic signals for potential GNSS positioning applications

Frontiers in Physics, 2022
The combination of underwater acoustic processing and the Global Navigation Satellite System (GNSS) has achieved remarkable economic benefits in offshore operations.
Danning Zhao, Danning Zhao, Danning Zhao, Yu Lei, Jinsong Xu, Hongbing Cai   +5 more
doaj   +1 more source

Comparison and Research on Diversified Portfolios with Several Entropy Measures Based on Different Psychological States

Entropy, 2020
In previous studies, there were few portfolio models involving investors’ psychological states, market ambiguity and entropy. Some entropy can make the model have the effect of diversifying investment, which is very important.
Xue Deng, Tao Lin, Chuangjie Chen
doaj   +1 more source

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

Entropy, 2021
Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales.
Mostafa Rostaghi, Mohammad Mahdi Khatibi, Mohammad Reza Ashory, Hamed Azami   +3 more
doaj   +1 more source

Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy

Shock and Vibration, 2020
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu   +3 more
doaj   +1 more source

Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding

Sensors, 2022
As obesity is a serious problem in the human population, overloading of the horse’s thoracolumbar region often affects sport and school horses. The advances in using infrared thermography (IRT) to assess the horse’s back overload will shortly integrate ...
Małgorzata Domino, Marta Borowska, Łukasz Zdrojkowski, Tomasz Jasiński, Urszula Sikorska, Michał Skibniewski, Małgorzata Maśko   +6 more
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On the Application of Entropy Measures with Sliding Window for Intrusion Detection in Automotive In-Vehicle Networks

Entropy, 2020
The evolution of modern automobiles to higher levels of connectivity and automatism has also increased the need to focus on the mitigation of potential cybersecurity risks.
Gianmarco Baldini
doaj   +1 more source

Complexity Analysis and Synchronization Control of Fractional-Order Jafari-Sprott Chaotic System

IEEE Access, 2020
Aiming at the complexity problem of fractional-order Jafari-Sprott chaotic system, in this paper, Adomian decomposition method is used to study its numerical analysis and a complexity analysis method of fractional-order Jafari-Sprott chaotic system based
Guohui Li, Xiangyu Zhang, Hong Yang
doaj   +1 more source

Z-Delphi: A Z-Number-Based Delphi Technique for Technological Forecasting to Reduce Optimism/Pessimism Bias in Experts’ Convergent Opinions

International Journal of Computational Intelligence Systems, 2023
The Delphi technique is an indispensable instrument for technology forecasting. The method is, however, limited by ambiguity aversion, uncertainty, and statistical optimism/pessimism bias.
Kushal Anjaria
doaj   +1 more source