Optimal Design of Electrical Capacitance Tomography Sensor Based on Multiple Excitation Modes by YANG Bo-tao, WANG Li-li, CHEN De-yun, CHEN Feng

“…Aiming at the problems of weak sensor acquisition signal, serious marginal effect, and insignificant change in dielectric constant in the electrical capacitance tomography (ECT) system, an optimized design scheme of ECT sensor based on multiple excitation modes is proposed.This scheme optimizes the physical parameters of the sensor and adopts adjacent double the electrode excitation mode is used for detection, which increases the intensity of the sensitive field, and obtains more capacitance values in a measurement process, which effectively increases the number of signals collected by the sensor and the acquisition accuracy.The experimental results show that the ECT sensor with multiple excitation modes can effectively increase the excitation signal strength, reduce the marginal effect, improve the internal sensitivity matrix of the sensor, increase the accuracy of the acquisition signal, and significantly improve the image reconstruction quality.…”
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Imbalanced Data Parameter Optimization of Convolutional Neural Networks Based on Analysis of Variance by Ruiao Zou, Nan Wang

“…This study primarily uses analysis of variance (ANOVA) to investigate the main and interaction effects of different parameters on imbalanced data, aiming to optimize convolutional neural network (CNN) parameters to improve minority class sample recognition. …”
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Optimization of particle swarm for force uniformity of personalized 3D printed insoles by Zhao Jiali, Liu Jinhai, Liu Yuan

“…This study investigates the application of particle swarm optimization (PSO) algorithm in optimizing the force uniformity of personalized 3D-printed insoles, aiming to enhance the comfort and functionality of the insoles. …”
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TOPOLOGY OPTIMIZATION OF CANTILEVER BEAM STRUCTURE OF FLAT SAND SYSTEM BASED ON ABAQUS by WANG ShuGuo, LI LiJun, LIAO Kai, YU QiuLiang, CHEN Wei

“…Aiming at the problems of low accuracy and easy to cause resonance in the work of the flat sand system, the topology optimization design of the cantilever beam structure of the flat sand system is carried out in this paper. …”
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Collision-inducing method for UAV evasive maneuvers based on receding horizon optimization by Haonan Tang, Zhigong Tang, Gong Chen, Jifeng Guo

“…Aiming at the missile avoidance problem of the unmanned aerial vehicle (UAV) in complex obstacle environments, this work proposes a collision-avoidance method based on receding horizon optimization. …”
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Multiobjective Optimization Approach for Coordinating Different DG from Distribution Network Operator by Limei Zhang, Honglei Yang, Jing Lv, Yongfu Liu, Wei Tang

“…Integrating with analysis of uncertainties, this paper presented a multiobjective optimization approach for coordinating different DG from the perspective of Distribution Network Operator (DISOPER). …”
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Gearbox fault diagnosis method based on optimized VMD-NLM with 1DDRSN by WAN Zhiguo, ZHAO Wei, WANG Zhiguo, DOU Yihua

“…ObjectiveAiming at the problem of poor accuracy of gearbox fault diagnosis under noise interference, a new fault diagnosis method for gearboxes based on the denoising methods of optimized variational modal decomposition (VMD）and non-local means (NLM) was constructed, combined with a one-dimensional deep residual shrinkage network (1DDRSN).MethodsFirstly, the parameters in the VMD were automatically optimized using the subtractive average-based optimization (SABO); secondly, each intrinsic mode function (IMF） after the decomposition of the VMD was filtered using sample entropy, and the noise-containing components were subjected to the NLM denoising and reconstruction; then, a residual network that combines the attention mechanism with soft thresholding was introduced to model 1DDRSN; finally, the denoised and reconstructed signals were inputted into the 1DDRSN for fault diagnosis and identification. …”
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Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models by Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen

“…However, this approach only uses one standard Gaussian process model with fixed variance, which may not work well for solving various multiobjective optimization problems (MOPs). To alleviate this problem, this paper introduces a decomposition-based multiobjective evolutionary optimization with adaptive multiple Gaussian process models, aiming to provide a more effective heuristic search for various MOPs. …”
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Optimized Polynomial Virtual Fields Method for Constitutive Parameters Identification of Orthotropic Bimaterials by Xueyi Ma, Yu Wang, Jian Zhao

“…A constitutive parameter identification method of orthotropic bimaterials based on optimized virtual field and digital image correlation is proposed. …”
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Optimal Configuration of Multi-Energy Complementary System Considering Full Life Cycle by Lingfeng KOU, Yu JI, Ming WU, Geng NIU

“…Aiming at the optimization configuration of multi-energy complementary systems including wind power generation, photovoltaic power generation and energy storage systems, this paper proposes a full life cycle optimization configuration method for multi-energy complementary systems considering system interaction with distribution network and demand-side response costs, Constructed a two-layer optimization model: the upper layer performs global optimization with the goal of minimum annual investment cost, and determines the optimal configuration scheme and energy storage output range of the multi-energy complementary system; the lower layer is established with daily operating costs and renewable energy unutilization as the goals. …”
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An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

“…The traditional multiple hypothesis solution separation (MHSS) algorithm distributes the probability of hazardous misleading information (PHMI) and probability of false alarm (PFA) uniformly over all visible satellites resulting in reduced global availability of ARAIM. Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Static Voltage Stability Improvement of Wind Power System by Network Topology Optimization by GAO Guo-bing, WANG Lei, LIU Yang, LOU Wen-jing, XU Xing-dong

“…The objective function is to maximize the load margin of the power system determined by the predicted wind output, as well as improving the load margins of all wind scenarios up to a given value, and the power system after topology optimization meets the safe operation requirements. Aiming at the computation problem caused by a large number of wind scenarios, a scenario reduction method tailored for static voltage stability problems is proposed. …”
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Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA by Yang Sen, Wang Hengdi, Cui Yongcun, Li Chang, Tang Yuanchao

“…Aiming at the problem that the initial fault signal of rolling bearings is weak and the fault characteristic is difficult to extract, this study proposes a rolling bearing fault diagnosis method based on variational modal decomposition (VMD) for adaptive parameter optimization based on the improved sparrow search algorithm (SSA) and the extreme learning machine (ELM) with multi-layer feature vector fusion. …”
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Orthogonal Experimental Study on Heat Transfer Optimization of Backfill Slurry with Ice Particles by Mei Wang, Peng Liu, Yuhang Jia, Yujiao Zhao, Bo Zhang

“…By comprehensive analysis, the optimization of mixture ratio was obtained: the boundary heat flux of the simulated surrounding rocks is 111 W/m2, the ratio of ice to water is 8 : 5, the ratio of sand to cement is 4 : 1, and the slurry concentration is 64%.…”
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Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network by Li-li Li, Kun Chen, Jian-min Gao, Hui Li

“…Aiming at the problems of the lack of abnormal instances and the lag of quality anomaly discovery in quality database, this paper proposed the method of recognizing quality anomaly from the quality control chart data by probabilistic neural network (PNN) optimized by improved genetic algorithm, which made up deficiencies of SPC control charts in practical application. …”
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Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery by Guo Zhao, Tianhua Cao, Yudan Wang, Huirui Zhou, Chi Zhang, Chenxi Wan

“…The establishment of isolated microgrid is of great significance in solving power supply problems in offshore islands or remote mountainous areas. Aiming at the isolated microgrid containing photovoltaic, photothermal, wind, diesel, and energy storage, a three-objective sizing optimization model of the microgrid is proposed considering comprehensive economy cost, deficiency of power supply probability (DPSP), and renewable energy discard rate (REDR). …”
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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…ObjectiveAiming at the insufficient fatigue life of high-strength leaf chains for forklifts under low-speed heavy-load conditions, a collaborative optimization framework integrating Response Surface Methodology (RSM) and multi-objective genetic algorithm (MOGA) is proposed to enhance reliability and optimize stress distribution.MethodsBased on transient dynamic analysis using ANSYS Workbench, the edge of the chain plate hole was identified as the critical stress concentration region. …”
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Analysis and Optimization of Epicyclic Mechanisms with Mutually Meshed Satellites for Engineering and Industrial Applications by Sylvester Bozherikov, Hristo Uzunov, Silvia Dechkova, Mina Tsoneva

“…This study presents an in-depth kinematic and dynamic analysis of an epicyclic gear mechanism with mutually engaged satellites, aiming to optimize its characteristics and overall efficiency. …”
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Exploring Optimal Group Sizes for Learning in Medical Simulation: A Systematic Review by Cassandra Mackey, Simi Jandu, James Fidrocki, Tyler Raduzycki, Jennifer Carey

“…This study investigates the optimal group size for simulation, aiming to identify best practices that maximize efficiency and efficacy in learning environments. …”
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