ACTIVE DISTURBANCE REJECTION CONTROL FOR STRUCTURE VIBRATION WITH ELECTROMAGNETIC INERTIAL ACTUATOR (MT) by LU Lu, LI Jing, ZHANG LuYao, ZHU ChaoWei, LI ShengQuan

“…The results show that the ADRC algorithm is feasible for vibration control. When other parameters of the controller remain unchanged, in a certain range, increasing the bandwidth of the controller observer or decreasing the gain of controller can improve the control performance, but adjusting the parameters of PD controller have little effect on the control performance.…”
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New experimental techniques for fracture testing of highly deformable materials by E. Dall’Asta, V. Ghizzardi, R. Brighenti, E. Romeo, R. Roncella, A. Spagnoli

“…Thanks to the implemented algorithm based on a Semi-Global Matching (SGM) approach, it is possible to constraint the regularity of the displacement field in order to significantly improve the reliability of the evaluated strains, especially in highly deformable materials. …”
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Research on Identification Method of Scour Depth for Bridge Based on ERA and SVM by Xiaozhong Zhang, Wenjuan Yao, Yimin Liu, Bo Chen

“…Through integrative application of the eigensystem realization algorithm (ERA) and method of support vector machine (SVM), this method was used to identify the scour depths of bridge under conditions of ambient excitation. …”
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The process of budgeting the strategy of industrial complex transformation in the context of digitalisation by A. G. Boev

“…The author determines the recommended amount and horizon of the strategy budget planning and also presents a 6-stage algorithm of methodical reception on the use of neural network modeling tools to optimize the budget of the strategy of changes in the industrial complex. …”
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Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method by A. Fa-You, Wan-cheng Pan, Wen-ping Wu, Shi-qun Yan

“…Firstly, based on a large number of rock mass discontinuities, the Fuzzy C-Means (FCM) clustering algorithm is used to determine the dominant discontinuities. …”
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Steepest-Ascent Revisited: Unconstrained Missile Trajectory by Elsayed M. Khalil, Hao Zhou, Wanchun Chen

“…The influences of the optimization algorithm controlling parameters are investigated. …”
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Kinematics Analysis and Scale Synthesis of a Novel Spherical Parallel Mechanism by Zhen Chang, Chengbo Wang, Gaofeng Wang, Jianshe Gao

“…Taking the workspace and global mean dexterity as the optimization goals，the particle swarm optimization algorithm （PSO） is used to synthesize the structure parameters of the mechanism. …”
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Trajetórias de desmatamento e de uso do solo em uma região dendeícola na Amazônia oriental. by César Teixeira Donato de Araújo, Eraldo Aparecido Trondoli Matricardi, Lívia de Freitas Navegantes-Alves

“…Supervised classification and Landsat imagery acquired between 1985 and 2015 were used in this analysis, with the Maximum Likelihood algorithm use. The classes forest, secondary forest, exposed soil, farming, natural fields, oil palm and water were considered. …”
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Monitoring the reliability of integrated circuits protection against Trojans: encoding and decoding of combinational structures by L. A. Zolotorevich, V. A. Ilyinkov

“…For the purpose of hardware protection of projects, the methods of hardware coding are currently used.The paper discusses the features and reliability of logical coding of combinational circuits. An algorithm for cracking the code of combinational circuits is proposed, based on the description of encoded structure by the resolution function and reducing the problem to SAT CNF. …”
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Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios by DING Qingfeng, ZOU Zhixiang

“…Finally, an alternating optimization algorithm was proposed for the joint optimization of beamforming and the phase-shift matrix of the active RIS. …”
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Robust Wiener filter‐based time gating method for detection of shallowly buried objects by Ali Gharamohammadi, Fereidoon Behnia, Arash Shokouhmand, George Shaker

“…Imprecise window length selection leads to missing some parts of the target signals along with the clutter, which in turn increases the missed detection rate. Herein, an algorithm to tackle this problem is proposed by using a Wiener filter along with CFAR as a primary detector of the target positions employing average similarity function imaging. …”
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The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence by Mengying Li

“…According to the experimental results, this model’s F1 score is 85.34%, and its maximum accuracy on the NTU-RGBD60 datasets is more than 5% greater than that of the current 3D Convolutional Neural Network (3D-CNN) baseline algorithm. In addition, the model shows high efficiency and resource utilization in test time, training time and CPU occupancy. …”
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Network Coded Wireless Cooperative Multicast with Minimum Transmission Cost by Xiumin Wang, Jin Wang, Shukui Zhang

“…For the case when the clusters are not predefined, we propose a cluster division algorithm such that the destination nodes within each cluster can conduct data exchange locally with energy efficiency. …”
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Using Color Difference Compensation Method to Balance and Repair the Image of Art Design by Hui Ji, Yang Shang

“…A white balance color compensation algorithm for fuzzy chromatic aberration based on wavelet packet decomposition is proposed. …”
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Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning by Wenxia Dai, Qinqing Kang

“…Abstract In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). …”
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Effective Processing of Radar Data for Bridge Damage Detection by Tomasz Owerko, Przemysław Kuras

“…This type of data, often omitted in other works, forms the basis for the second important element of the research—an algorithm based on the ARMA model supporting defect detection. …”
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Hybrid Vibration Control under Broadband Excitation and Variable Temperature Using Viscoelastic Neutralizer and Adaptive Feedforward Approach by João C. O. Marra, Eduardo M. O. Lopes, José João de Espíndola, Walter Antônio Gontijo

“…Since temperature variations affect directly and considerably the performance of the passive control system, composed of a viscoelastic dynamic vibration neutralizer (also called a viscoelastic dynamic vibration absorber), the associative strategy of using an active-adaptive vibration control system (based on a feedforward approach with the use of the FXLMS algorithm) working together with the passive one has shown to be a good option to compensate the neutralizer loss of performance and generally maintain the extended overall level of vibration control. …”
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Forecasting Chinese Wind Power Installed Capacity Using a Novel Grey Model with Parameters Combination Optimization by Xiaoshuang Luo, Bo Zeng, Hui Li, Wenhao Zhou

“…Firstly, considering the modeling mechanism and process, the order of accumulation generation of the grey prediction model is optimized by Particle Swarm Optimization (PSO) Algorithm. Secondly, as different orders of accumulation generation correspond to different parameter matrixes, the background value coefficient of the grey prediction model is optimized based on the optimal accumulation order. …”
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Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection by Iftikhar Ahmad, Muhammad Hamid, Suhail Yousaf, Syed Tanveer Shah, Muhammad Ovais Ahmad

“…Inception V3 is identified as the best performing algorithm on both datasets.…”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

“…In addition to a physiological anomaly detection algorithm defined based on data from wearable devices, an online neural network prediction modelling methodology combining both detected physiological anomaly rate and historical COVID-19 infection rate is explored. …”
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