Research on performance evaluation of ecological product value realization under the “Dual Carbon Goals” by Churui Yang, Pengxiang Wang, Rongxin Li, Miaoheng Zhang

“…This national provincial scale research design not only fills the gap in macro level performance evaluation, but also reveals the differences in location characteristics and institutional responses in the transformation of ecological product value in different regions.ResultsThe results show that the performance of the national ecological product value realization mechanism has been increasing year by year, showing explosive growth in 2015, and the growth rate has fluctuated since then.DiscussionIt is suggested to formulate a performance evaluation policy for the realization mechanism of ecological product value based on the goal of building a beautiful China, promote the establishment of ecological product value realization methods and paths with the characteristics of each province (city), conduct performance evaluations on pilot demonstrations and base creation in the national ecological product value realization, and further optimize and improve relevant institutional mechanisms.…”
Get full text

Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Aiming at the problem that the bearing fault diagnosis algorithm based on deep learning has poor diagnosis performance when the fault samples are lack of labels in different working conditions and real environmentsly, an unsupervised domain adaptive bearing fault diagnosis method was proposed to realize the unsupervised fault diagnosis of bearings under different working conditions. …”
Get full text

Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). …”
Get full text

Clothing classification method based on attention mechanism and transfer learning by CHEN Jinguang, HUANG Xiaoju, MA Lili

“…Aimed the low efficiency and low accuracy of clothing image classification, a clothing image classification method based on attention mechanism and transfer learning was proposed. …”
Get full text

Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
Get full text

Method of load balancing for computer cluster of data processing center by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The process of identifying significant harmonics of the spectrum is based on the study of its spectral power density using the Fourier transform. The developed method is able to provide a solution to the problem of efficient planning and distribution of tasks in a data center computing cluster in order to optimize the use of resources, speed up task execution time and reduce application processing costs.…”
Get full text

METHOD OF LOAD BALANCING FOR COMPUTER CLUSTER OF DATA PROCESSING CENTER by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The process of identifying significant harmonics of the spectrum is based on the study of its spectral power density using the Fourier transform. The developed method is able to provide a solution to the problem of efficient planning and distribution of tasks in a data center computing cluster in order to optimize the use of resources, speed up task execution time and reduce application processing costs.…”
Get full text

Research on bearing fault diagnosis based on a multimodal method by Hao Chen, Shengjie Li, Xi Lu, Qiong Zhang, Jixining Zhu, Jiaxin Lu

“…To address this challenge, this paper introduces a novel multi-scale time-frequency and statistical features fusion model (MTSF-FM). Specifically, the method first employs continuous wavelet transform to generate time-frequency images, capturing local and global features of the signal at different scales. …”
Get full text

Fault detection method for distribution network based on edge computing by YANG Hao, ZHAO Huan, XUE Rong, YU Yubin, WEI Enwei, HUANG Bing

“…Based on the edge side, combined with multi-dimensional S-transform fusion algorithm and phase modulus transformation matrix method, the relevant fault features of distribution network are extracted. …”
Get full text

Government-market synergy in China's agricultural low-carbon transformation: policy adaptation to regional divides by Feng Liao, Yangyang Zheng, Xiaofeng Wang, Lihui Xiong

“…IntroductionPromoting agricultural low-carbon transformation are essential for achieving the “dual carbon” targets and advancing high-quality development.MethodsThis study employed evolutionary game theory to construct a tripartite model involving local governments, agricultural enterprises, and consumers. …”
Get full text

Task-Based Reading Course for EFL Teacher Trainees with Different Experiential Learning Styles: A Transformative Orientation by Amin Khanjani, Fereidoon Vahdany, Manoochehr Jafarigohar

“…Moreover, finding appropriate framework to help prospective teachers with different learning styles to transform the acquired knowledge and skills into actual teaching practice is highly promising. …”
Get full text

Power Transformer Based on Field-circuit Coupling in Different Operating Modes Simulation Ｒesearch on Leakage Magnetic Field by WANG Kang, ZENG Jing-lan, ZHENG Yu, LAN Sheng, DU Guo-an, LIN Ye

“…In view of the change in the operation mode of the transformer，under the impact of the short-circuit current of the transformer，the magnetic field distribution characteristics of the windings are different. …”
Get full text

Dynamics of water pollution concentration with uniform and exponential increment of pollutants by Jeevan Kafle, Ranjan Kumar Chaudhary, Bekha Ratna Dangol

“…Analytical solutions are obtained by using Laplace transform and numerical solutions are by Finite Difference Method (FDM). …”
Get full text

Rare transformation from lung adenocarcinoma to sarcomatoid carcinoma mediates resistance to inhibitors targeting different driver oncogenes by Lanlan Pang, Weitao Zhuang, Yihua Huang, Jun Liao, Mengjuan Yang, Li Zhang, Yaxiong Zhang, Wenfeng Fang

“…Conclusions: The transformation from lung adenocarcinoma to SC is a resistance mechanism wildly applied to inhibitors targeting different driver oncogenes. …”
Get full text

An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Our method transforms the interpretation of anomalous features into solving an optimization problem in a normal “reference” state. …”
Get full text

Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In this challenging context, innovative algorithms and model designs are crucial for addressing differences in CSI features between various actions and enhancing the model’s generalization ability and robustness.Method This study explores human actions’ physical and MIMO transmission characteristics, proposing a deep learning-based human action recognition method that employs a dual attention mechanism and a multi-channel, multi-scale fusion temporal convolution network to address the above challenges. …”
Get full text

The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei, Wei Hu

“…Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. …”
Get full text

Group method analysis of two-dimensional plate in heat flux by Mina B. Abd-el-Malek, Fayez H. Michael, Samy M. A. El-Mansi

Get full text

Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
Get full text

Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
Get full text