Study on the Effect of Judgment Excitation Mode to Relieve Driving Fatigue Based on MF-DFA [PDF]
Brain Sciences, 2022 Driving fatigue refers to a phenomenon in which a driver’s physiological and psychological functions become unbalanced after a long period of continuous driving, and their driving skills decline objectively.
Fuwang Wang +3 more
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Sign Retention in Classical MF-DFA
Fractal and Fractional, 2022 In this paper, we propose a one-dimensional (1D) multifractal sign retention detrending fluctuation analysis algorithm (MF-S-DFA). The proposed method is based on conventional multifractal detrending fluctuation analysis (MF-DFA).
Jian Wang, Mengdie Yang
exaly +3 more sources
The effect analysis of shape design of different charging piles based on Human physiological characteristics using the MF-DFA [PDF]
Scientific ReportsWith the rapid development of new energy vehicles, the users have an increasing demand for charging piles. It is generally believed that the charging pile is a kind of practical product, and it only needs to realize the charging function.
Yusheng Zhang +4 more
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Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis [PDF]
SensorsThe mental fatigue of crane operators can pose a serious threat to construction safety. To enhance the safety of crane operations on construction sites, this study proposes a rotary switch semi-dry electrode for detecting the mental fatigue of crane ...
Fuwang Wang, Daping Chen, Xiaolei Zhang
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Energies, 2020 This study explores the degree and change of informational efficiency of the European Union (EU) carbon emission trading market using an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) method, which allows asymmetry.
Seong-Min Yoon +2 more
exaly +3 more sources
Asymmetric market efficiency of the Eurozone using the MF-DFA: a comparison between global financial crisis and COVID-19 era [PDF]
European Journal of Management and Business Economics, 2023 PurposeThis research paper aims to explore asymmetric market efficiency of the 13 Euro countries, i.e. Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Netherland, Portugal, Slovakia, Slovenia and Spain, concerning the period before ...
Sajid Ali +2 more
doaj +1 more source
Influence of Sub-Daily Variation on Multi-Fractal Detrended Fluctuation Analysis of Wind Speed Time Series. [PDF]
PLoS ONE, 2016 Using multi-fractal detrended fluctuation analysis (MF-DFA), the scaling features of wind speed time series (WSTS) could be explored. In this paper, we discuss the influence of sub-daily variation, which is a natural feature of wind, in MF-DFA of WSTS ...
Xianxun Wang +4 more
doaj +1 more source
Entropy, 2021 Estimates suggest that more than 70% of the world’s rangelands are degraded. The Normalized Difference Vegetation Index (NDVI) is commonly used by ecologists and agriculturalists to monitor vegetation and contribute to more sustainable rangeland ...
Ernesto Sanz +8 more
doaj +1 more source
Time-Varying Fractal Analysis of Exchange Rates
Chaos Theory and Applications, 2023 The foreign exchange (forex) market is a dynamic and complex financial arena where the exchange rates of various currency pairs fluctuate continuously. Among these currency pairs, EUR/TRY and USD/TRY hold significant economic relevance due to their roles
Baki Ünal
doaj +1 more source
Rolling bearing fault diagnosis based on adaptive smooth ITD and MF-DFA method
Journal of Low Frequency Noise, Vibration and Active Control, 2020 To effectively utilize a feature set to further improve fault diagnosis of a rolling bearing vibration signal, a method based on multi-fractal detrended fluctuation analysis (MF-DFA) and smooth intrinsic time-scale decomposition (SITD) was proposed.
Zhe Yuan +4 more
doaj +1 more source