Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network by Wei DONG, Leilei ZHANG, Ziheng JIN, Wei SUN, Junbo GAO

“…In the face of the development of the information technology in the port and waterway,the Internet of things (IoT) technology can help to build China’s water transport perception network.The big data analysis of the waterborne transport has become a hot topic for researchers and practitioners in the field of transportation.The navigation density of each port in the water transportation is nonlinear and spatio-temporal correlation,so it is a great challenge to accurately predict it.A multi-feature spatiotemporal graph convolution network (MFSTGCN) was proposed to solve the problem of the traffic density prediction.MFSTGCN effectively captured the spatial-temporal correlation of the ship navigation density data by using the spatial convolution and temporal convolution through three features,which were navigation volume,average ship speed and ship density.The experiment was carried out on the automatic identification system (AIS) data set collected from a shipping platform.The results show that the prediction effect of the MFSTGCN model is better than the spatio-temporal graph convolution network (STGCN) model.…”
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Contact Analysis of Sprag-type Overrunning Clutches by Yang Hongtu, Gao Peng, Yan Weiping, Wang Yonghui, Yang Min

“…The results show that both rolling and sliding occur when friction is considered, the contact stress between sprags and races is elliptically distributed with a large eccentricity, the contact stress is distributed in the parabolic shape along the length of the sprags, maximum contact stress couldn't reflect the effects of torque on contact stress, the torque transmitted beyond the clutch is positively correlated with its torsion angle, the coefficient of friction doesn't affect the maximum contact stress and the torsion angle of the clutch, the coefficient of friction is nonlinear with the sliding distance and linear with the maximum friction stress.…”
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Numerical Simulation Method Study of Rock Fracture Based on Strain Energy Density Theory by Shuchen Li, Luchen Zhang, Qian Sun, Ma Tengfei

“…Many numerical methods are carried out to study the nonlinear failure behaviors of the rock; however, the numerical simulation methods for the failed rock are still in the research stage. …”
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A Novel Picture Fuzzy n-Banach Space with Some New Contractive Conditions and Their Fixed Point Results by Awais Asif, Hassen Aydi, Muhammad Arshad, Zeeshan Ali

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Pinning in High-Tc Superconductors by Ernst Helmut Brandt

“…At lower T, ρ(J) is highly nonlinear, since the pinning energy increases with decreasing J. …”
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Prediction of optimal growth parameters of barley seedling based on Kalman filter and multilayer perceptron by Yunlong HUANG, Zhengquan LI, Yujia SUN

“…In order to improve the quality and planting efficiency of barley seedlings in the growth chamber, the Kalman filter algorithm was firstly used to process the data collected by the sensor, which effectively reduced the influence of environmental factors and the error of the sensor itself, improved the accuracy of the collected data, and ensured the precise control in the growth chamber and accurate test data.Then multiple nonlinear regression, radial basis function and multilayer perceptron neural network were used to analyze the average growth height, seedling weight and seed weight of barley seeds about 160 hours after germination under different conditions.The drying ratio was analyzed and compared.The results show that the multi-layer perceptron network model fits the data best.Using this model to predict the average height of barley seedlings and the ratio of seedling weight of barley seedlings in the optimal environment is basically consistent with the actual planting effect, which provides a certain reference for the planting of barley seedlings in the growth chamber.…”
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The Optimal Insurance Policy for the General Fixed Cost of Handling an Indemnity under Rank-Dependent Expected Utility by Liurui Deng

“…So, we explore the more general fixed cost function including both the linear and nonlinear functions. On the other hand, we consider adverse selection and moral hazard which are involved by Bernard et al. …”
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DYNAMIC BEHAVIOR AND SYNCHRONIZATION STUDY IN FITZHUGH-NAGUMO OSCILLATORS UNDER TIME DELAYS by YU RongRong, XI XiaoJian, Shang YunYan

“…In order to study mixed-mode oscillations and synchronization shown by coupled Fitz Hugh-Nagumo oscillators under time delays,the influence of different time delays and coupling strengths on synchronization behavior of the system was investigated by using analysis method of nonlinear dynamics and MATLAB software. Firstly,according to the dynamics of two FHN oscillations coupled by a single time delay,there was small in-phase and large out-of-phase oscillations influenced by diverse time delays. …”
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Global Bifurcation from Intervals for the Monge-Ampère Equations and Its Applications by Wenguo Shen

“…We shall establish the global bifurcation results from the trivial solutions axis or from infinity for the Monge-Ampère equations: det(D2u)=λm(x)-uN+m(x)f1(x,-u,-u′,λ)+f2(x,-u,-u′,λ), in B, u(x)=0, on ∂B, where D2u=(∂2u/∂xi∂xj) is the Hessian matrix of u, where B is the unit open ball of RN, m∈C(B¯,[0,+∞)) is a radially symmetric weighted function and m(r):=m(x)≢0 on any subinterval of [0,1], λ is a positive parameter, and the nonlinear term f1,f2∈C(B¯×R+3,R+), but f1 is not necessarily differentiable at the origin and infinity with respect to u, where R+=[0,+∞). …”
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Design and Application of Reliability Calculation Program Based on Secondary Development of ABAQUS by ZOU Hong, WU Jian, XU Zhichun, YANG Li

“…As a kind of finite element analysis software,ABAQUS is widely used in nonlinear simulation field,but there is no universal and mature reliability calculation module.Therefore,it is necessary to establish a general reliability calculation program for Monte Carlo simulation based on finite element model to meet the automation requirements of reliability calculation of various structures in ABAQUS.This paper firstly puts forward the design idea and main functions of reliability calculation program in ABAQUS,including random number generation,model batch building,automatic result extraction and so on;then,develops the pre-processing and post-processing modules of ABAQUS with Python language for modularizing the main functions of the program;finally,introduces the application method of this reliability calculation program in detail taking the reliability calculation process of the finite element model of a simply supported steel truss bridge as an example.This reliability calculation program can effectively improve the degree of automation in the process of structural reliability calculation,and reduce the calculation time,which has great reference value in engineering application.…”
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A NEW METHOD FOR PREDICTING FATIGUE LIFE UNDER TENSION-TORSIONAL LOADING by ZHANG YanJun, LEI MeiRong, SU Fang

“…The established nonlinear fatigue damage model based on the theory of damage mechanics has been widely applied to multiaxial fatigue life prediction,however,this method does not consider the physical significance in the damage plane.This problem can be solved by combining with the critical plane method.Taking the thin-walled cylindrical specimen as the study object,a new damage parameter applicable to proportional and nonproportional multiaxial fatigue damage is proposed by means of von Mises rule based on the critical plane method with consideration of the influences of phase delay on the fatigue life are analyzed as well.The new defined damage parameter not only considers the maximum shear stain and normal strain on the critical plane,but also considers the effect of the additional cyclic hardening caused by the nonproportional loading on the fatigue life.The fatigue life predicted by the proposed damage model of three types of materials are proved to be in good agreement with experimental results.It is convenient for engineering application because the uniaxial fatigue data and material constants are considered only in this model.…”
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CSI feedback algorithm based on deep unfolding for massive MIMO systems by Yong LIAO, Gang CHENG, Yujie LI

“…In order to solve the problem that the channel state information (CSI) feedback algorithm based on deep learning in massive MIMO systems at present had too many parameters to be trained and could not be explained well, two CSI feedback algorithms based on depth expansion were proposed.The first one was approximate message delivery (AMP) algorithm based on learnable parameters.The learnable parameters in deep learning were used to replace the threshold value of the threshold function in the AMP algorithm and the parameters of the Onsage correction term.The nonlinear ability of threshold function in dealing with non-strict sparse data was enhanced.The other was the AMP algorithm based on convolutional network, which replaced the threshold function module with the convolutional residual learning module, and used the module to remove the Gaussian random noise generated by each iteration of the AMP algorithm.Simulation results show that the proposed two algorithms have better CSI feedback performance than AMP algorithm, and the AMP algorithm based on convolutional network has better CSI reconstruction performance than the representative method based on deep learning.…”
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Effect of Structure Parameter on Stress Distribution of Double Helical Tooth Synchronous Timing Belt by Guo Jianhua, Li Shan, Hu Qingming

“…The large deformation and nonlinear static analysis of the above models are conducted with finite analysis software ANSYS Workbench. …”
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Empirical Analysis of Financial Statement Fraud of Listed Companies Based on Logistic Regression and Random Forest Algorithm by Xinchun Liu

“…Financial supervision plays an important role in the construction of market economy, but financial data has the characteristics of being nonstationary and nonlinear and low signal-to-noise ratio, so an effective financial detection method is needed. …”
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Integrability, Variational Principle, Bifurcation, and New Wave Solutions for the Ivancevic Option Pricing Model by A. A. Elmandouh, M. E. Elbrolosy

“…The Ivancevic option pricing model comes as an alternative to the Black-Scholes model and depicts a controlled Brownian motion associated with the nonlinear Schrodinger equation. The applicability and practicality of this model have been studied by many researchers, but the analytical approach has been virtually absent from the literature. …”
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Analysis of the Effect of the Friction Coefficient on a Pavement Structure by Lu Bai, Yong-sheng Zhang

“…The model analyzes the inner stress, strain, and displacement variations of the pavement, with friction coefficients under the conditions of 0.3, 0.5, 0.8, and 1.0 and the action of the nonlinear superposition between the single-point static vertical load and horizontal load. …”
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Effects of Fit Clearance Between the Outer Ring and the Housing on Vibration Characters of the Gear-shaft-bearing System by Xu Lijin, Chen Qing, Dai Peng, Wang Fengtao

“…In this model, the gear pair system and the bearing system are combined, the collision force and friction force caused by the fit clearance are considered, which are calculated by the nonlinear contact in Hertz theory and Coulomb friction model. …”
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Prediction of Blasting Fragmentation Based on GWO-ELM by Zhengzhao Jia, Ziling Song, Junfu Fan, Juyu Jiang

“…Aiming at the complex nonlinear relationship among factors affecting blasting fragmentation, the input weight and hidden layer threshold of ELM (extreme learning machine) were optimized by gray wolf optimizer (GWO) and the prediction model of GWO-ELM blasting fragmentation was established. …”
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User interest-aware content replica optimized placement algorithm by Xiao-long YANG, Xin-xin WANG, Min ZHANG, Ke-ping LONG, Qiong HUANG

“…A user interest-aware content replica optimized placement algorithm (UIARP) is proposed.Firstly,the interest subjects of the user-collective are extracted from their content access logs by clustering algorithms,and according to the weighting of the individual interest degree,their collective interest degree would be got and updated in real time; then under the nonlinear optimization model,replicas of larger collective interest degree have priority to be placed,with the goal of minimizing the average response time,which achieves the maximum match between placing replicas and users’ content demand.This algorithm not only ensures that users get interested replicas quickly,but also improves the system efficiency.From four aspects including average response time,the matching degree of request response,load balancing and the utilization rate of adjacent replicas,using 1-Greedy-Insert or others as compared algorithms,the simulation re-sults show that each metric improves by 30% on average,which verifies the effectiveness of the proposed algorithm.…”
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STRUCTURAL DAMAGE IDENTIFICATION BASED ON LMD SAMPLE ENTROPY AND RBF NETWORK by WANG MingYue, MIAO BingRong, LI Xu Juan, YANG ZhongKun

“…Adaptive time frequency analysis based on local mean decomposition and nonlinear quantization ability of sample entropy,combined with radial basis function（ RBF） neural network. …”
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