Understanding Regional Mobility Patterns Using Car-Hailing Order Data and Points of Interest Data by Zheng Zhang, Yanyan Chen, Jie Xiong, Tianwen Liang

“…More specifically, we detect regional mobility patterns by incorporating regional intrinsic properties to a hierarchical mixture model termed latent Dirichlet allocation (LDA). This model can simulate the process of generating car-hailing order data and yield regional mobility patterns from spatial, temporal, and spatiotemporal perspectives. …”
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A simplified constitutive model for a SEBS gel muscle simulant - Development and experimental validation for finite elements simulations of handgun and rifle ballistic impacts by Riccardo Andreotti, Valentina Leggeri, Andrea Casaroli, Mauro Quercia, Cristian Bettin, Mauro Zanella, Marco V. Boniardi

“…The paper illustrates the development and experimental validation of the model to simulate 9x21mm full metal jacket (FMJ) round-nose, 7.62x39 mm FMJ and 5.56x45 mm NATO bullets penetrating 145x145x400 mm gel blocks. …”
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Design and Implementation of Radar Cross-Section Models on a Virtex-6 FPGA by B. U. V. Prashanth

“…The paper illustrates the simulation of various target radar cross-section (RCS) models. These models are simulated in MATLAB and in FPGA, with the aim of implementing them efficiently on a radar system. …”
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MapFuse: Complete and Realistic 3D Modelling by Michiel Aernouts, Ben Bellekens, Maarten Weyn

“…Validating a 3D indoor radio propagation model that simulates the signal strength of a wireless device can be a challenging task due to an incomplete or a faulty environment model. …”
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Improving coalbed methane recovery in fragmented soft coal seams with horizontal cased well cavitation by Hu Wen, Bin Cheng, Duo Zhang, Bingyi Jia, Xiugang Liu

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Distributed IOS-SM transmission scheme with joint antenna and IOS unit selection for high-speed railway scenario by Qingfeng DING, Song WANG

“…A distributed intelligent omni-surface (IOS) -assisted spatial modulation (SM) transmission scheme was proposed to address the problem of transmission rate degradation caused by the high signal penetration loss in closed carriages in the high-speed railway scenarios.Firstly, SM technology was utilized to ensure that the indexed information section was not affected by penetration loss.Then, to reduce the high path loss and power loss of the long-range IOS windows, the distributed IOS was selected by traversal algorithm according to the principle of maximizing the received signal-to-noise ratio, and the best IOS window was activated to transmit the SM modulated information.Finally, to reduce the impact of the missing direct view path gain on the overall system performance, the antenna removal principle and the sequential selection method were used to dynamically and selectively activate the receiving antenna and IOS unit under the power consumption model.The simulation results show that the proposed scheme is more suitable for the high-speed railway wireless communication scenario than the conventional relay-forwarding and reconfigurable intelligence surface -SM (RIS-SM) schemes.And with the power loss model, the distributed IOS-SM scheme chosen by the combined antenna and IOS unit is still able to guarantee high performance transmission of the system.…”
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Research on hip joint stress distribution algorithms based on deep learning by Yuanping LIU, Yukai SONG, Xiaoyan ZHANG, Xianqiang LIU

“…Aiming at the problem of the stress distribution algorithm of hip cartilage,a deep learning model to replace the finite element analysis (FEA) was proposed.This deep learning model was divided into unsupervised learning module and supervised learning module.Firstly,an unsupervised learning module was adopted to encode the shape of hip cartilage and femur.Then the coding and decoding of stress distribution implement was implemented so that stress data can be combined with the neural network.Next a supervised learning module supervised by the stress data was used,and the model uses neural networks to learn a mapping relationship from the shape code of the hip cartilage and femur to the stress code of the stress distribution.Finally,a fitted deep learning model was obtained.This deep learning model can simulate the FEA method to a certain extent.But the mean absolute error and the normalized mean absolute error are still larger than that of the FEA method,so the FEA method cannot be completely replaced by our deep learning model.Meanwhile,the limitations of the deep learning model in the use of input features were studied,and a direction to improve the performance of the model was proposed.…”
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Premature birth changes wiring constraints in neonatal structural brain networks by Alexa Mousley, Danyal Akarca, Duncan E. Astle

“…We combine the developing Human Connectome Project’s large infant dataset with generative network modeling to simulate the emergence of network organization over early development. …”
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DNA spontaneously wrapping around a histone core prefers negative supercoiling: A Brownian dynamics study. by Chunhong Long, Hongqiong Liang, Biao Wan

“…To elucidate how supercoils influence the dynamics of wrapping of DNA around the histone cores, we developed a novel model to simulate the intricate interplay between DNA and histone. …”
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Nested Copula Model for Overall Seismic Vulnerability Analysis of Multispan Bridges by Ming Ma, Xiaoguang Wang, Naidong Liu, Shuai Song, Shuai Wang

“…The results show that the nested copula model accurately simulated the correlations between multiple components, which would eliminate the overestimation or underestimation by the first-order boundary method.…”
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Acquisition of Key Vacuum-Assisted Resin Transfer Molding Parameters through Reverse Scanning for Application in the Manufacturing of Large Fiber-Reinforced-Plastic Products by Guang-Min Luo, Kai-Lin Chen, Chen-Ting Hsu

“…In addition, the obtained parameters were substituted into a Moldex3D model to simulate the resin flow on the personal watercraft hull during vacuum-assisted resin transfer molding (VARTM). …”
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A Numerical Study on the Progressive Failure of 3D Four-Directional Braided Composites by Kun Xu

“…Then, based on the periodical boundary conditions, a RVE-based micromechanical model by using the nonlinear finite element method has been presented to predict the progressive damage and the strength of 3D braided composites subjected to tensile loading. The numerical model can simulate the effect of damage accumulation on the tensile stress-strain curve by combining the proposed failure criteria and the stiffness degradation model. …”
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Evaluation of Subway Emergency Evacuation Based on Combined Theoretical and Simulation Methods by Yang Hui, Shujie Su, Hui Peng

“…In this paper, a thorough investigation of the emergency evacuation capabilities of subway systems has been undertaken, employing a blend of theoretical models and simulation methodologies. Initially, a theoretical framework was established to estimate the evacuation duration for passengers transitioning from the train to a secure area while considering the spatial configuration and passenger flow dynamics of subway stations. …”
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Adaptive Voltage Reference Based Controls of Converter Power Sharing and Pilot Voltage in HVDC System for Large-Scale Offshore Wind Integration by Yuanshi Zhang, Wenyan Qian, Jun Shao, Fei Zhang, Liwei Wang, Qinran Hu, Wei Li

“…The proposed Method I utilizes DC grid lossy model with the local voltage droop control strategy, while the proposed Method II adopts a modified pilot voltage droop control (MPVDC) to avoid the large errors caused by the DC grid lossless model. Dynamic simulations of a five-terminal MTDC grid are carried out using MATLAB/Simulink SimPowerSystems /Specialized Technology to verify the proposed autonomous control methods under various types of disturbance and contingency. …”
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Liquid and Gas Corrected Permeability Correlation for Heterogeneous Carbonate Reservoir Rocks by Sadonya Jamal Mustafa, Fraidoon Rashid, Khalid Mahmmud Ismail

“…Permeability is considered as an efficient parameter for reservoir modelling and simulation in different types of rocks. The performance of a dynamic model for estimation of reservoir properties based on liquid permeability has been widely established for reservoir rocks. …”
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Robust Proactive Project Scheduling Model for the Stochastic Discrete Time/Cost Trade-Off Problem by Hongbo Li, Zhe Xu, Li Xiong, Yinbin Liu

“…Extensive experiments are performed on a large number of randomly generated networks to validate our model. Moreover, simulation is used to investigate the trade-off between the advantages and the disadvantages of our robust proactive project scheduling model.…”
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Development of a software platform for bridge modal and damage identification based on ambient excitation by Jiahuan Li, Li Zhu, Wenyu Ji, Sunfeng You

“…Then the damage element is added to the finite element model to simulate the crack, and the curvature mode difference and the curvature mode area difference square ratio are calculated by using the stochastic subspace identification results to verify their ability of damage identification and location. …”
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A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation by Joel Herrera, Antonio Bensussen, Mónica L. García-Gómez, Adriana Garay-Arroyo, Elena R. Álvarez-Buylla

“…We used Boolean, continuous, and stochastic dynamic models to simulate the hypoxic conditions of the HSCs niche, as well as the patterns and temporal sequences of HSCs transitions and differentiation. …”
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Internal faults in stator winding of synchronous generator: Modelling, detecting and protecting by Amir Hossein Rezaei, Milad Beikbabaei, Moein Abedini, Mahdi Davarpanah

“…This paper presents a phase domain model for simulating SEF and TTF in SGs, requiring only nameplate data and avoiding the need for complex geometric data or lengthy simulations typical of FEM models. …”
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An Analysis of Dynamic Recrystallization During the Reduction Pretreatment Process Using a Multiscale Model by Die Wu, Zhen Ning, Yanlin Zhu, Wei Yu

“…A comparison between the single-element hot compression simulation and experimental results demonstrates that the model accurately simulates both the macroscopic mechanical behavior and microstructural evolution during the thermal deformation process, thereby exhibiting high precision. …”
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