Analysis and Experimental Study of Acceleration Model for Short Interval and Multiple Impact Equipment by Feiyin Li, Shaojie Ma

“…On this basis, a line contact model is adopted to modify the equivalent damping coefficient and obtain a nonlinear spring damping contact force model based on the line contact, and then a rigid body acceleration model of the impact experiment is established. …”
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Estimation of the Dynamic Moduli of Viscoelastic Asphalt Mixtures Using the Extended Kalman Filter Algorithm by Yu-Seok Gong, Dowan Kim, Sungho Mun

“…We compared IRT-derived viscoelastic master curves obtained via compressive frequency sweep testing to those derived using the EKF algorithm, which employs a nonlinear sigmoidal curve and a Taylor series to explore the viscoelastic function. …”
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Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm by Said Ali Hassan, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

“…The aim is to minimize the total establishing and operating costs of the stations based on a mathematical programming model with nonlinear objective function and integer decision variables. …”
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Flexible Temporary Shield in Soft and Sensitive Clay: 3D FE Modelling of Experimental Field Test by Miah Alam, Omar Chaallal, Bertrand Galy

“…The excavation trench model was 6 m (20 ft) deep and was considered as nonlinear and anisotropic clay. A 45 kPa (0.94 ksf) surface overload on top of the soil near the trench box was also simulated to produce a maximum load case on the flexible wall of the shield. …”
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A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis by Xuancang Wang, Jing Zhao, Qiqi Li, Naren Fang, Peicheng Wang, Longting Ding, Shanqiang Li

“…The study concluded that the nonlinear and multivariate prediction model established by GRA-SVR has higher precision and operability, which can be used in long-period pavement performance prediction.…”
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Modeling Evapotranspiration Response to Climatic Forcings Using Data-Driven Techniques in Grassland Ecosystems by Xianming Dou, Yongguo Yang

“…This is attributed partly to the considerable development of machine learning techniques that allow the scientific community to use these advanced tools for approximating the nonlinear processes affecting the variation of water vapor in terrestrial ecosystems. …”
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Efficient and Accurate Optimal Linear Phase FIR Filter Design Using Opposition-Based Harmony Search Algorithm by S. K. Saha, R. Dutta, R. Choudhury, R. Kar, D. Mandal, S. P. Ghoshal

“…A comparison of simulation results reveals the optimization efficacy of the OHS over the other optimization techniques for the solution of the multimodal, nondifferentiable, nonlinear, and constrained FIR filter design problems.…”
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Design and Simulation of Power Quality Improvement System for Low Voltage Distribution Networks in Uganda. by Arinde, Francis

“…The detailed universal active power filter shall be designed and simulated for balanced nonlinear loads using MATLAB/Simulink. The simulation results are intended to indicate that the proposed filter can minimise the harmonic distortion to a level below that deployed by the institute of electrical and electronics engineers (IEEE) standard, which say that THD in a network should not exceed 5%.This project focused on enhancing power quality in low voltage distribution networks at the point of common coupling (PPC) through the design and simulation of a universal active filter system. …”
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Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis by Hui Tian, Yong-meng Li, Cheng-qiang Wang, Guo-qiang Chen, Ying Lian

“…A linear relationship was observed between baseline TyG index and frailty risk (P nonlinear = 0.696), but nonlinear association patterns for eGDR (P nonlinearity < 0.010) and METS-IR (P nonlinearity < 0.010). …”
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Spectral Quantitative Analysis Model with Combining Wavelength Selection and Topology Structure Optimization by Qian Wang, Boyan Cai, Yajie Yu, Hui Cao

“…For the proposed method, backpropagation neural network is adopted for building the component prediction model, and the simultaneousness optimization of the wavelength selection and the topology structure of neural network is realized by nonlinear adaptive evolutionary programming (NAEP). …”
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Real-Time Implementation of Islanded Microgrid for Remote Areas by Monika Jain, Sushma Gupta, Deepika Masand, Gayatri Agnihotri, Shailendra Jain

“…The effectiveness of the proposed controller is analyzed through experimental results under balanced/unbalanced nonlinear loads condition.…”
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A New Health Condition Detection Method for Planetary Gears Based on Modified Distributed Compressed Sensing and Multiscale Symbol Dynamic Entropy by Zhe Wu, Qiang Zhang, Zeyu Ma, Jialong Lu, Zhiying Qin

“…Aiming at the problem of how to extract fault information from vibration signals of nonlinear and nonstationary planetary gearboxes, a performance degradation evaluation index of planetary gearboxes based on improved distributed compressed sensing and modified multiscale symbolic dynamic entropy (DCSMDE) is proposed. …”
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Algorithm for determining the operating parameters of an electrical network in the problem of optimal reconfiguration in real time by Vladislav A. Rokhlov, Rustam N. Khamitov, Sergey N. Zherebtsov, Anastasia A. Latyntseva

“…The developed algorithm is based on solving nonlinear systems of equations of nodal voltages using the Newton–Raphson method, as well as on correcting the parameters of the previously calculated operating mode using the sensitivity matrix. …”
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Numerical Analysis of J-Hook Connectors’ Effect on the Performance of Steel-Concrete Composite Shear Walls by Seyed Mohammad Farnam, Mohsen Khorshidi

“…After verifying the accuracy of the model, a parametric analysis is defined and further studies are performed by using a nonlinear in-crescent static method (pushover method). …”
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Effect of Process Parameters on Short Fiber Orientation along the Melt Flow Direction in Water-Assisted Injection Molded Part by Haiying Zhou, Hesheng Liu, Qingsong Jiang, Tangqing Kuang, Zhixin Chen, Weiping Li

“…An artificial neural network was used to establish the nonlinear agent model between the process parameters and A11 representing the fiber orientation in melt flow direction. …”
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Movement of the South Russian Frontier in the 17th – First Half of the 19th Centuries as the Development of the “Wild Fields” by Valery V. Kanishchev, Yuri A. Mizis

“…In conclusion, the authors drew attention to the usefulness of studying the nonlinear effects in the development of the “Wild Fields”. …”
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2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…The currently popular manifold learning dimensionality reduction algorithm, Uniform Manifold Approximation and Projection (UMAP), effectively extract complex nonlinear relationships in fault diagnosis data while preserving both local and global structures. …”
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High-Stability PGC-EKF Demodulation Algorithm Integrated with a Phase Delay Compensation Module by Hengyang Zhao, Feng Zhu, Xiaoxiao Xu, Zongling Zhao, Chuanlu Deng

“…To effectively eliminate the nonlinear distortion caused by the modulation depth (<i>C</i> value) drift and carrier phase delay (<i>θ</i>) in the phase-generated carrier (PGC) demodulation scheme, the PGC-PDC-EKF joint algorithm is presented, which combines phase delay compensation (PDC) with an extended Kalman filter (EKF). …”
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Evaluation of snow-drifting influencing factors and susceptibility of transportation infrastructure lines by Pengxiang Li, Aiying Gao, Mingzhou Bai, Shumao Qiu

“…The use of the GA-BP algorithm effectively captured the complex nonlinear relationships among various factors, producing evaluation results highly consistent with real-world conditions. …”
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Monitoring the Accuracy of Measurements the Load of Industrial Enterprises by V. A. Anishchenko, T. V. Pisaruk

“…These methods include monitoring by the first increments of the load, which characterize the speed of its alterations, as well as control using linear and nonlinear extrapolations of the first increments.  …”
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