Study on the Nonlinear Damage Creep Model of the Weak Interlayer by Erjian Wei, Bin Hu, Kunyun Tian, Peishan Cen, Zhen Zhang, Zeqi Wang, Shuxiang Chang

“…By using the self-defined function fitting tool of Origin software and the Levenberg–Marquardt optimization algorithm, the creep test data of weak interlayer are fitted and compared. …”
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Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network by Renpeng LIU, Bo HU, Hequn LI

“…The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.…”
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A Game-Theoretic Approach for Run-Time Distributed Optimization on MP-SoC by Diego Puschini, Fabien Clermidy, Pascal Benoit, Gilles Sassatelli, Lionel Torres

“…Results show that the proposed run-time algorithm requires an average of 20 calculation cycles to find the solution for a 100-processor platform and reaches equivalent performances when comparing with an offline method. …”
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Fare Design in Urban Transit Network considering Elastic Demand and Adverse Weather’s Impact by Jiantong Zhang, Biyu Lv, Guichao Tian, Wenchi Liu

“…Such transit fare design problem is described through bilevel programming, in which the upper level is the transportation authority’s transit fare structure decision aiming to minimize the transit network’s total travel and operation cost, while the lower level is a transit network assignment model considering supply and demand uncertainties that influence passengers’ travel choice decisions. A heuristic algorithm is developed to solve the problem, and a numerical example is presented to illustrate the application. …”
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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…According to the findings, the DNN is capable of making more accurate and reliable predictions of the incoming solar irradiance than the persistent algorithm. This is the case across the board. Even without any actual data, the proposed model is considered to be state-of-the-art because it outperforms the current NWP forecasts for the same time horizon as those forecasts. …”
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Novel Web Service Selection Model Based on Discrete Group Search by Jie Zhai, Zhiqing Shao, Yi Guo, Haiteng Zhang

“…We propose the cost function and the discrete group search optimizer (D-GSO) algorithm and study the convergence of the D-GSS model through verification and test cases.…”
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A lightweight lattice-based group signcryption authentication scheme for Internet of things by XU Chuan, AI Xinghao, WANG Shanshan, ZHAO Guofeng, HAN Zhenzhen

“…In the key generation stage, the improved trapdoor diagonal matrix was designed to optimize the original image sampling algorithm required for key generation and reduce the overall time required for generating a large number of keys. …”
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Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network by Chen Zhang, Qiunan Chen, Wenbing Zhou, Xiaocheng Huang

“…Key enhancements such as cubic chaotic mapping, refraction backward learning, nonlinear convergence factors, and updated position formulas were applied to improve the algorithm’s search efficiency. By optimizing the neural network’s weights and biases, a precise relationship between rock mechanics and displacement was established. …”
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Flexible terahertz beam manipulation and convolution operations in light-controllable digital coding metasurfaces by Min Jia, Chao Zhao, Hui Wang, Weiran Sun, Yuncheng Lu

“…We also achieve dynamic modulation of vortex electromagnetic waves based on wireless light-controllable coding metasurfaces. And the genetic algorithm is used to reverse design the array arrangement of the coding metasurface to achieve terahertz broadband radar scattering cross-section reduction. …”
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Target Detection and Robotic Arm Grasp Pose Estimation Based on YOLOv5 and Transfer Learning by Li Wanyan, Ruan Guanqiang, Zhang Zhendong

“…For traditional machine learning algorithms, visual recognition algorithms have low recognition accuracy and slow running time. …”
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Optimal Heat Transfer Coefficient Distributions during the Controlled Cooling Process of an H-Shape Steel Beam by Yu-Feng Gan, Jiin-Yuh Jang

“…H300 × 300, H250 × 250, and H200 × 200 H-shape steel beams are investigated in a controlled cooling process to obtain the design requirements for maximum uniform temperature distributions and minimal residual stress after controlled cooling. An algorithm developed with the conjugated-gradient method is used to optimize the heat transfer coefficient distribution. …”
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Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses by Yunjian Zhang, Zhenmiao Deng, Jianghong Shi, Linmei Ye, Maozhong Fu, Chen Zhao

“…In particular, Complex Approximate Message Passing (CAMP) algorithm is developed to estimate the unambiguity Doppler frequency. …”
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Three-Dimensional Scanning Virtual Aperture Imaging with Metasurface by Zhan Ou, Yuan Liang, Hua Cai, Guangjian Wang

“…Secondly, an adapted range migration algorithm (RMA) with a pre-processing step is applied to the virtual aperture to achieve a 3D high-resolution reconstruction. …”
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Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model by Kai Liang, Haijun Zhao

“…The adaptive moment estimation (Adam) algorithm was used to optimize the weights of each layer in the network, and the model was used to evaluate sound quality. …”
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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…Purpose – Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. …”
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Diagnosing the type and location of the transformer fault by analyzing the dissolved gas using fuzzy logic by Mohamad Beiranvand, Asghar Akbari Froud

“…If the error detection by these two methods reaches the same result, the error type detection is terminated and if the result is not the same, the Duval triangle method with fuzzy logic approach is used to detect the error type. The presented algorithm has been tested on 30 transformer devices and the results confirm its high accuracy (96.7%) in fault detection. …”
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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

“…Shankar and Bandyopadhyay and Shankar et al. successfully used genetic algorithms and artificial neural networks to understand and optimize an extrusion process. …”
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Assigning Passenger Flows on a Metro Network Based on Automatic Fare Collection Data and Timetable by Ling Hong, Wei Li, Wei Zhu

“…We find that the routes connecting a given origin and destination (O-D) pair are related to their observed travel times (OTTs) especially their pure travel times (PTTs) abstracted from AFC data combined with the realized timetable. A novel clustering algorithm is used to cluster trips between a given O-D pair based on PTTs/OTTs and complete the assignment. …”
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Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints by Junqiang Wan, Honghai Zhang, Fangzi Liu, Wenying Lv, Yifei Zhao

“…Then, considering the fuel economy and the greenhouse effect of pollutant emission, we establish a multiobjective model of aircraft flight parameter optimization, and, based on the multiobjective genetic algorithm, we establish an optimization model. Finally, we use B737-800 aircraft to carry out simulation experiments and find that, with the change of speed, fuel consumption and warming trend are different, and “objective weight, aircraft mass, flight distance, RTA time window, and wind” have different effects on the optimization results. …”
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Energy Management in the Microgrid and Its Optimal Planning for Supplying Wireless Charging Electric Vehicle by Salma Sraidi, Mohamed Maaroufi

“…The optimization problem is solved on the basis of the particle swarm optimization (PSO) algorithm. We could note that the stability of the microgrid in the off-grid mode is better, when the load is close to the output power of the distributed power supply. …”
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