Application of Hilbert Huang Transform Method Based on CEEMD in Forest Boundary Layer Turbulence by Yanqi WANG, Yu ZHANG, Youqi SU, Qian ZHANG, min YE

“…To address the modal aliasing phenomenon in traditional Empirical Mode Decomposition （EMD） algorithms， the Complementary Ensemble Empirical Mode Decomposition （CEEMD） and Mirror Extension algorithm were introduced to improve the shortcomings in EMD algorithm decomposition.This article selects case data from turbulence observations in the artificial forest area of Mount Si'e.Firstly， the differences between the two methods are compared and analyzed to clarify the advantages of the CEEMD algorithm； Then， case data of stable and unstable layers at different heights were selected， and the Hilbert Huang transformation method was applied to analyze the turbulent characteristics of the wind speed U and temperature T series under this case， exploring the application of the Hilbert Huang transformation method.The results indicate that the algorithm decomposition of CEEMD is more detailed， the mode aliasing defect of the modal function is better suppressed， the modal energy distribution is more focused， the Hilbert marginal spectrum has more energy spikes， and the energy distribution is clearer.Different modal functions have their own characteristic frequencies， and the decomposed modal functions contain motion of different scales， including turbulent motion in the inertial sub region with a slope of -2/3， and low-frequency large-scale modes corresponding to the energy containing region.The marginal spectral energy peaks obtained from CEEMD decomposition well reflect the energy containing characteristics of each modal function.Individual case analysis shows that the CEEMD algorithm can act as a typical binary filter.After CEEMD decomposition， there are gust fluctuations of about 3~6 minutes in the various modal functions of the U-wind in the turbulence signal of this case.The turbulence characteristics vary at different heights and stable layers.The Hilbert marginal spectral amplitude is higher in the unstable layer at noon compared to the stable layer at night， and the three-dimensional wind speed is better mixed at various heights.Moreover， due to the effect of the canopy， there is a crushing effect on large-scale turbulent vortices at lower altitudes， and the marginal spectrum exhibits low frequency small and high frequency large characteristics compared to other altitudes.In this case， the temperature T is different from the three-dimensional wind speed performance： turbulent vortices at different altitudes are better mixed under stable layer structures， while under unstable layer structures， the marginal spectrum amplitude at lower altitudes is higher due to differences in thermal absorption at different altitudes， and decreases with increasing altitude.Overall， this comparative analysis highlights the superior capabilities of the CEEMD algorithm in handling complex turbulence data， ensuring a more precise and insightful examination of atmospheric phenomena.…”
Get full text

Solving Nonlinear Fractional Models in Superconductivity Using the q-Homotopy Analysis Transform Method by Khalid K. Ali, M. Maneea, Mohamed S. Mohamed

“…This study describes the q-homotopy analysis transform method (q-HATM) as a powerful technique for solving nonlinear problems, which has been successfully used with a set of mathematical models in physics, engineering, and biology. …”
Get full text

Research of the Method of Gear Fault Classification based on Contourlet Transform and Local Binary Pattern by Zhang Fangdong

“…For the problem that the gear fault feature is difficult to extract in actual working condition,a fault feature extraction method based on vibration signal time-frequency image is proposed,which is based on the global texture of the contourlet transform and the local texture of the local binary pattern. …”
Get full text

Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform by Duy Nguyen, Minh Tuan Nguyen, Kou Yamada

Get full text

From caregiving burden to income transformation: intergenerational employment effects of long-term care insurance by Zhiying Li, Longhua Zheng, Hong Xu

Get full text

Adapting Cross-Sensor High-Resolution Remote Sensing Imagery for Land Use Classification by Wangbin Li, Kaimin Sun, Jinjiang Wei

“…These discrepancies between multi-sensor data present a significant obstacle to the widespread application of intelligent methods. In this paper, we propose a method tailored to accommodate these disparities, with the aim of achieving a smooth transfer for the model across diverse sets of images captured by different sensors. …”
Get full text

An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. Different clustering spaces are considered for different fault types. …”
Get full text

An Effective Method to Determine the Available Transmission Capacity with Variable Frequency Transformer by Mostafa Eidiani, Hossein Zeynal

“…In addition, the proposed method was used in seven different systems and 50% of the time was saved on small systems. …”
Get full text

A lip reading method based on adaptive pooling attention Transformer by YAO Yun, HU Zhenxiao, DENG Tao, WANG Xiao

“…To address this issue, a lip reading method based on adaptive pooling attention transformer (APAT-LR) was proposed. …”
Get full text

Primary Current Test Method for Transformer Protection Based on Transient Load by Jiyin SHI

“…In order to solve this problem, a method for testing TA secondary circuit by using transient current such as motor starting current or transformer magnetizing inrush current is presented. …”
Get full text

One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application by Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao

“…While deep learning has the potential to address these challenges, issues such as data representation and domain transformation limit the development of universally applicable deep learning‐based inversion methods across various geophysical scenarios. …”
Get full text

Current Transformer Saturation Detection Method Based on Artificial Neural Network by Yu. V. Rumiantsev

“…When current transformer is saturated, mainly due to the presence of an exponentially decaying DC component in the fault current, its secondary current has a distinctive distorted waveform which significantly differs from its primary (true) waveform. …”
Get full text

Detecting Current Transformer Measurement Errors Using Double Decomposition Method by Bolun Du, Yinglong Diao, Huan Wang, Xiujuan Zeng, Tong Liu, Yiyi Peng

“…In China Electric Power Research Institute, the proposed CT measurement error detection method can accurately locate the abnormal phase of CT and detect the 0.2% ratio difference threshold in the verification experiment. …”
Get full text

Research on the Remanence Measurement Method of Transformers Based on the Degaussing Hysteresis Loop by Dingyuan Li, Jing Zhou, Zhanlong Zhang, Yu Yang, Zijian Dong, Wenhao He, Xichen Pei, Jiatai Gao, Siyang Chen, Zhicheng Pan

“…This paper proposes a transformer remanence measurement method based on a demagnetization hysteresis loop to address the problems of large errors, complex operation, and poor universality in existing remanence measurement methods. …”
Get full text

Impact of Smart Cities on Urban Resilience: The Roles of Land Green Utilization Efficiency and Industrial Structure Transformation by Chaobo Zhou, Xinting Li

“…This study uses panel data from 254 prefecture-level cities in China from 2009 to 2021, and employs a multiperiod difference-in-differences method to examine the direct and heterogeneous effects of SC on UR. …”
Get full text

Estimation of corn chlorophyll content using different red edge position algorithms by ZHANG Jiawei, WANG Zhonglin, TAN Xianming, WANG Beibei, YANG Wenyu, YANG Feng

“…Red edge position (REP) was extracted by continuous wavelet transform (CWT) and other algorithms [maximum first derivative method (FD), four-point interpolation method (FPI) and linear extrapolation method (LEM)]. …”
Get full text

Microbiological dynamics of different poultry waste disposal methods by GURPREET KAUR, DALJEET KAUR, PAVITER KAUR, NEEMISHA, SANDEEP UNIYAL, YASHPAL SINGH, D S MALIK

“…The objective was to study the microbiological dynamics of different poultry waste disposal methods. Fresh poultry manure, together with dead bird carcasses and paddy straw (i.e. aerobic composting-T1 group) was composted and compared to T2 group in which additionally yeast was incorporated @7.5%. …”
Get full text

Effects of different fermentation methods on the quality of sour cowpea by SUN Yu, ZHOU Zhugui, LIU Jian, XIN Ming, LI Changbao, FENG Jinqing, LI Jieming, LI Tianyu, YE Dongqing, LING Dongning

Get full text

Transformation of Synthetic Allicin: The Influence of Ultrasound, Microwaves, Different Solvents and Temperatures, and the Products Isolation by Dušica Ilić, Vesna Nikolić, Mihajlo Stanković, Ljubiša Nikolić, Ljiljana Stanojević, Ivana Mladenović-Ranisavljević, Andrija Šmelcerović

“…The transformation of the synthesized allicin, using conventional method, the influence of ultrasound and microwaves, in different organic solvents (acetonitrile, acetone, methanol, and chloroform), at various temperatures (room temperature, 45∘C, and 55∘C) was investigated. …”
Get full text

The Synergistic Effects of Different Phosphorus Sources: Ferralsols Promoted Soil Phosphorus Transformation and Accumulation by Long Zhou, Tilei Zhao, Nyeinnyein Thu, Hongmin Zhao, Yi Zheng, Li Tang

“…However, the P accumulation and transformation of different P sources in low-phosphorus red soil remain unclear. …”
Get full text