Study of Internal Pressure Field Characteristics in Gearboxes of a Heavy-haul Locomotive Based on the Lattice Boltzmann Method by Zhou Qiubing, Xu Yanhui, Zhou Ziwei, Chen Zaigang

“…The absolute values of the mean pressure difference or the mean values of the pressure at all the monitoring points are positively and nonlinearly correlated with the gear speed. The change of the gear steering will change the pressure difference between the upper and lower points of the gear meshing area. …”
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Darwinian dynamics of a juvenile-adult model by J. M. Cushing, Simon Maccracken Stump

“…The bifurcation that occurs from the extinction equilibrium in a basicdiscrete time, nonlinear juvenile-adult model for semelparous populations,as the inherent net reproductive number $R_{0}$ increases through $1$,exhibits a dynamic dichotomy with two alternatives: an equilibrium withoverlapping generations and a synchronous 2-cycle with non-overlappinggenerations. …”
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Chemical Reaction Effects on the Flow of Titanium Dioxide–Water in a Mixed Convective Nanofluid along an Inclined Plate in a Porous Medium by Md. Nasir Uddin, Kakali Chowdhury, Jannatul Ferdows Mim

“…With the aid of a system of governing partial differential equations, a set of nonlinear ordinary differential equations for taking into consideration nanofluid flow have been derived using appropriate matching transformations. …”
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EOR: An Enhanced Object Registration Method for Visual Images and High-Definition Maps by Nian Hui, Zijie Jiang, Zhongliang Cai, Shen Ying

“…These factors are integrated into a nonlinear optimization model and extended Kalman filter framework. …”
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Automatic Emergence Detection in Complex Systems by Eugene Santos, Yan Zhao

“…Complex systems consist of multiple interacting subsystems, whose nonlinear interactions can result in unanticipated (emergent) system events. …”
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Spatial and Temporal Characteristics of Precipitation and Runoff Response in Yalong River Basin by CHANG Xinyu, LIU Bin, JIA Yugong, FU Zhiyu

“…Under the dual influence of climate change and human activities,extreme climate occurs frequently around the world,and the precipitation in the studied basin has undergone profound changes,so it is necessary to further explore the inherent characteristics and variation laws of precipitation and runoff and thus enhance the understanding of the evolution laws of hydrological and meteorological elements in the basin under the changing environment.In this paper,Mann-Kendall nonparametric test,R/S analysis,moving t-test,and Morlet wavelet transform are introduced to analyze the interannual trend and identify abrupt changes and periodic characteristics of precipitation at meteorological stations in the Yalong River Basin in the past 50 years,and the response degree of runoff to precipitation is measured by correlation coefficient.The results show that the Hurst index of precipitation in the basin is greater than 0.5,and the precipitation trends at Qingshuihe,Shiqu,and Zhongdian stations are more significant;at the same time,due to the continuous influence of the changing environment,the precipitation in the basin has a multi-scale significant period in both time and frequency domains,and the precipitation fluctuates during small periods of 1.0~2.5 years and large periods of 4~6 years.Besides,the meteorological stations with strong runoff responses to precipitation in the basin are obtained,and the precipitation trend of other stations is not significant except Zhongdian station.The research results can provide a scientific basis for selecting driving factors of the nonlinear runoff forecasting model.…”
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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

“…We combine novel methods for supervised segmentation, global clustering, and nonlinear false-color coding to assist in the visual inspection. …”
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WIND TURBINE ROLLING BEARING FAULT DIAGNOSIS METHOD BASED ON 1D-CNN AND SWLSTM by JING DongXing, CHEN YangHui, QUAN Zhe

“…Aiming at the subtle fault features of the wind turbines rolling bearing, the fault signal is nonlinear, non-stationary and contains noise interference, and the fault signal has the characteristics of space and time feature information, a space-time fusion convolutional shared weight long short-term memory network (CSwLSTM) model based on one-dimensional convolutional neural network (1D-CNN) and the shared weight long short-term memory network (SWLSTM) was proposed for wind turbine rolling bearing fault diagnosis. …”
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Does renewable energy reduce energy intensity? A matter of income inequality by Rongrong Li, Zhuang Yang, Qiang Wang

“…The results indicate a nonlinear relationship, driven by a single-threshold effect of income inequality. …”
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The Influence Analysis of Number of Functional Logistics Service Providers on Quality Supervision Game in LSSC with Compensation Strategy by Weihua Liu, Yijia Wang, Zhicheng Liang, Xiaoyan Liu

“…Furthermore, we propose three kinds of concrete compensation mechanisms, which are fixed, linear, and nonlinear compensation mechanism. And the optimal compensation mechanism for a LSI with different numbers of FLSPs is provided.…”
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Modeling the effect of extrusion parameters on density of biomass pellet using artificial neural network by Abedin Zafari, Mohammad Hossein Kianmehr, Rahman Abdolahzadeh

“…Background: The relationships between the density of the biomass pellet and the related variables are very complicated and highly nonlinear, which make developing a single, general, and accurate mathematical model almost impossible. …”
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Study on Dynamic Characteristic of Cylindrical Roller Bearing at Start-stop Process by Tu Wenbing, He Haibin, Liu Leping, Luo Ya

“…Taking cylindrical roller bearing NU306 as investigation object,a three-dimensional dynamic FEM for nonlinear contact cylindrical roller bearing is established. …”
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Prediction and Monitoring Model of Concrete Dam Deformation Based on WOA-RFR by FENG Yu, WU Yunxing, GU Wenjing, PANG Qiong, GU Yanchang, CHEN Siyu

“…The random forest model belonging to the machine learning algorithm has many advantages such as strong generalization ability and fast training speed, and it has a strong mapping capability for nonlinear features. However, because different parameters and corresponding parameter combinations of the primitive random forest algorithm have a great influence on the improvement and stability of the model performance, the effectiveness of the results cannot be guaranteed under the manual empirical method. …”
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application by Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

“…The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. …”
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Renormalized Phonon Microstructures at High Temperatures from First-Principles Calculations: Methodologies and Applications in Studying Strong Anharmonic Vibrations of Solids by Tian Lan, Zhaoyan Zhu

“…We shall see that the phonon-phonon interactions give rise to interesting coupling problems and essentially modify the equilibrium and nonequilibrium properties of materials, for example, thermal expansion, thermodynamic stability, heat capacity, optical properties, thermal transport, and other nonlinear properties of materials. The review aims to introduce some recent developements of computational methodologies that are able to efficiently model the strong phonon anharmonicity based on quantum perturbation theory of many-body interactions and first-principles molecular dynamics simulations. …”
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A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch by Xin Li, Jingang Lai, Ruoli Tang

“…Since the generators are diversified and the operation mode changes frequently, the MGEEED problem always has different types of constraints, such as the load balance constraints and the ramp rates constraints, which make it a nonlinear, nonconvex optimization problem. In this paper, the mathematical model of a typical MG system applied in northwest China is established. …”
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Modeling and Parameter Analysis of the OC3-Hywind Floating Wind Turbine with a Tuned Mass Damper in Nacelle by Yulin Si, Hamid Reza Karimi, Huijun Gao

“…Finally, fully coupled nonlinear wind turbine simulations with different designs are conducted in different wind and wave conditions. …”
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Optimization Design and Simulation of Single Degree of Freedom Legs of Quadruped Robots by Shi Huiwen, He Jing, Wang Zhijun

“…The optimal motion size and initial position of each component of the mechanism are optimized by using the genetic algorithm and the general nonlinear optimization method with the approximation degree of non-impact foot trajectory as the objective. …”
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A Reduced Order Model Based on ANN-POD Algorithm for Steady-State Neutronics and Thermal-Hydraulics Coupling Problem by Hanxing Liu, Han Zhang

“…Due to the high-dimensional partial differential equations (PDEs) derived from the N/TH system, it is usually time consuming to solve such a large-scale nonlinear equation by the traditional numerical solution method of PDEs. …”
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Comparative Analysis of Machine Learning Techniques for Cryptocurrency Price Prediction by Sara Salehi

“…The significant increase in cryptocurrency trading on digital blockchain platforms has led to a growing interest in employing machine learning techniques for the effective prediction of highly nonlinear and nonstationary data, becoming increasingly popular among both individual and institutional market participants. …”
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