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Triadic Synchrony: Application of multiple wavelet coherence to a Small Group Conversation

Applied Mathematics 2016年第14期7卷 1477-1483页

作者： Ken Fujiwara Faculty of Human Sciences Osaka University of Economics Osaka Japan

By applying multiple wavelet coherence (MWC) to data from human body movements in triadic interaction, this study quantified triadic synchrony, rhythmic similarity among three interactants. Thirty-nine Japanese undergraduates were randomly assigned in a triad, and engaged in a brain-storming task. Triadic synchrony was quantified by calculating MWC to the time-series movement data collected by Kinect v2 sensor. The existence of synchrony was statistically tested by using a pseudo-synchrony paradigm. Results showed that the averaged value of MWC was higher in the experimental participant trio than in those of the pseudo trio in the frequency band of 0.5 - 1 Hz. The result supports the possible utility of applying multiple wavelet coherence to evaluate triadic synchrony in a small group interaction.

关键词： multiple wavelet coherence Nonverbal Behavior Synchrony Small Group Automated Method

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Synergistic effects of multiple driving factors on the runoff variations in the Yellow River Basin,China

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Journal of Arid Land 2021年第8期13卷 835-857页

作者： WANG Junjie SHI Bing ZHAO Enjin CHEN Xuguang YANG Shaopeng College of Engineering Ocean University of ChinaQingdao 266100China Hubei Key Laboratory of Marine Geological Resources China University of GeosciencesWuhan 430074China College of Ocean Science and Engineering Shandong University of Science and TechnologyQingdao 266590China

River runoff plays an important role in watershed ecosystems and human survival,and it is controlled by multiple environmental ***,the synergistic effects of various large-scale circulation factors and meteorological factors on the runoff on different time-frequency scales have rarely been *** light of this,the underlying mechanism of the synergistic effects of the different environmental factors on the runoff variations was investigated in the Yellow River Basin of China during the period 1950-2019 using the bivariate wavelet coherence(WTC)and multiple wavelet coherence(MWC)***,the continuous wavelet transform(CWT)method was used to analyze the multiscale characteristics of the *** results of the CWT indicate that the runoff exhibited significant continuous or discontinuous annual and semiannual oscillations during the study *** inter-annual time scales were also observed for the runoff in the Yellow River *** meteorological factors better explained the runoff variations on seasonal and annual time *** average wavelet coherence(AWC)and the percent area of the significant coherence(PASC)between the runoff and individual meteorological factors were 0.454 and 19.89%,*** circulation factors mainly regulated the runoff on the inter-annual and decadal time scales with more complicated phase relationships due to their indirect effects on the *** AWC and PASC between the runoff and individual circulation factors were 0.359 and 7.31%,*** MWC analysis revealed that the synergistic effects of multiple factors should be taken into consideration to explain the multiscale characteristic variations of the *** AWC or MWC ranges were 0.320-0.560,0.617-0.755,and 0.819-0.884 for the combinations of one,two,and three circulation and meteorological factors,*** PASC ranges were 3.53%-33.77%,12.93%-36.90%,and 20.67%-39.34%for the combinations one,two,and three driving facto

关键词： synergistic effects precipitation runoff variations atmospheric circulations multiple wavelet coherence Yellow River Basin

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Modeling and forecasting time series of precious metals:a new approach to multifractal data

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Financial Innovation 2019年第1期5卷 407-434页

作者： Emrah Oral Gazanfer Unal Faculty of Economy and Administrative Sciences Istanbul Aydin UniversityIstanbulTurkey Faculty of Economics Administrative and Social SciencesBahcesehir UniversityIstanbulTurkey

We introduce a novel approach to multifractal data in order to achieve transcended modeling and forecasting performances by extracting time series out of local Hurst exponent calculations at a specified ***,the long range and co-movement dependencies of the time series are scrutinized on time-frequency space using multiple wavelet coherence ***,the multifractal behaviors of the series are verified by multifractal de-trended fluctuation analysis and its local Hurst exponents are ***,root mean squares of residuals at the specified scale are procured from an intermediate step during local Hurst exponent *** internally calculated series have been used to estimate the process with vector autoregressive fractionally integrated moving average(VARFIMA)model and forecasted *** our study,the daily prices of gold,silver and platinum are used for *** results have shown that all metals do behave in phase movement on long term periods and possess multifractal ***,the intermediate time series obtained during local Hurst exponent calculations still appertain the co-movement as well as multifractal characteristics of the raw data and may be successfully re-scaled,modeled and forecasted by using VARFIMA ***,VARFIMA model have notably surpassed its univariate counterpart(ARFIMA)in all efficacious trials while re-emphasizing the importance of comovement procurement in *** study’s novelty lies in using a multifractal de-trended fluctuation analysis,along with multiple wavelet coherence analysis,for forecasting purposes to an extent not seen *** results will be of particular significance to finance researchers and practitioners.

关键词： Continuous wavelet transform multiple wavelet coherence Multifractal de-trended fluctuation analysis Vector autoregressive fractionally integrated moving average Forecast

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