Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model by Ting Zhang

“…Furthermore, the Bouc–Wen model is adopted to describe the hysteresis property of a smart beam and the hysteresis parameters of the hysteresis model are identified with a genetic algorithm. Based on the identification results, the hysteresis model is validated to represent the hysteresis property of the smart beam. …”
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Bionics Design of Artificial Leg and Experimental Modeling Research of Pneumatic Artificial Muscles by Hualong Xie, Zhijie Li, Fei Li

“…Finally, the virtual prototype technology is used to build a joint simulation platform, and PID control algorithm is used for verification simulation. The results show that the artificial leg can follow the target trajectory.…”
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Research on the Fault Diagnosis Method for Rolling Bearings Based on Improved VMD and Automatic IMF Acquisition by Ying Zhang, Anchen Wang

“…The mode number K and the penalty parameter α of VMD are automatically obtained through an optimal parameter searching process underpinned by the improved particle swarm optimization (PSO) algorithm with a variety of inertia weights. This improvement solves one of the major drawbacks of the conventional VMD method, that is, the need to manually set parameters. …”
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Application of adaptive virtual synchronous generator based on improved active power loop in photovoltaic storage systems by Youzhuo Zheng, Yutao Xu, Yekui Yang, Long Hua, Yuqing Yang

“…Then, the adaptive inertia algorithm is incorporated into the active power loop of the VSG control, and an adaptive inertia control method based on the improved active power loop is proposed. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
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Seamless multimodality for passenger transportation in the Russian Federation by A. S. Stepanenko, A. S. Bolt, P. S. Bolt

“…The movement of financial and information flows and the algorithm of actions of the system participants are determined.…”
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Utilizing Structural Network Positions to Diversify People Recommendations on Twitter by Ekaterina Olshannikova, Erjon Skenderi, Thomas Olsson, Sami Koivunen, Jukka Huhtamäki

“…Social recommender systems, such as “Who to follow” on Twitter, utilize approaches that recommend friends of a friend or interest-wise similar people. Such algorithmic approaches have been criticized for resulting in filter bubbles and echo chambers, calling for diversity-enhancing recommendation strategies. …”
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Multimedia Tasks-Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks by Yong Huang

“…Finally, the performance of the proposed scheme is validated through simulation experiments, including metrics such as model stability, subtask deployment error rate, expected energy consumption, and algorithm solution time. The proposed hybrid approach not only enhances the efficiency of resource allocation but also minimizes processing delays, ultimately contributing to improved performance in vehicular networks.…”
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Application of the ESRI Geostatistical Analyst for Determining the Adequacy and Sample Size Requirements of Ozone Distribution Models in the Carpathian and Sierra Nevada Mountains by Witold Fraczek, Andrzej Bytnerowicz, Michael J. Arbaugh

“…The final maps of O3 concentrations for Sierra Nevada were derived from cokriging algorithm based on two secondary variables — elevation and maximum temperature as well as the determined geographic trend. …”
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Correlation Coefficient Filtering Method for Optimal Sensor Layout Strategies in Inverse Problems by Qingyang Yuan, Xiangji Guo, Jiajie Han, Bingyue Han, Bo Zhang, Tian Lan

“…The study reflects the significant value of the correlation coefficient filtering method, based on the assumption of global correlation maximization, in evaluating optimal measurement points of the system, laying a foundation for the subsequent application of this algorithm in engineering.…”
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APPLICATION OF TRADITIONALTHEORIES IN THE AGE OF CYBER COMMUNICATION by JIBRIN UMAR OMACHI, COMFORT ENE OBAJE

“…It argues for the need to adapt and modify these theories to account for the unique characteristics of cyber communication, including networked connectivity, user-generated content, and algorithmic influence. A nuanced understanding of the socio-cultural, technological, and contextual factors shaping digital communication practices is emphasized. …”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

“…In addition, we incorporate the improved representation algorithm into the loss function to handle data sparsity, thereby improving prediction accuracy. …”
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Contribution of Daylighting to Saving Electrical Energy in Cameroon: Case Study of a Classroom in a Public School by Merimé Souffo Tagueu, Lionelle Adelaїde Madjou Tanekou, Benoît Ndzana

“…Applying the optimization algorithm designed for this purpose brings the average illuminance level down to 300lx following the EN12464 standard. …”
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Visceral condition assessment through digital tongue image analysis by Siu Cheong Ho, Yiliang Chen, Yao Jie Xie, Wing-Fai Yeung, Shu-Cheng Chen, Jing Qin

“…We propose a novel tongue image partitioning algorithm that divides the tongue into four regions associated with these specific organs, according to TCM principles. …”
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Research on image generation technology based on deep learning by Li Jinchen

“…Based on the above problems, this paper analyzes the methods of improving and optimizing the mainstream image generation algorithm from the perspectives of improving and optimizing the loss function, improving the space modeling, revising the structure of both the generator and discriminator, while speeding up the training process. …”
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An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment by Jiayong Zhong, Xiaofu Xiong

“…The simulation results show that the load peak-to-valley difference and standard deviation of the proposed algorithm are reduced by 30.13% and 16.94%, respectively, compared with the disorderly charging and discharging behavior, which has verified the effectiveness and feasibility of the proposed method.…”
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Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System by Mingxuan Liang, Ying Wang, Tian Zhao

“…Finally, the gear backlash, equivalent mass, and rotational speed are optimized based on Kriging surrogate model (KSM) and differential evolution (DE) algorithm by taking the minimization of the maximum rattle noise as the optimal object. …”
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New method for file deduplication in cloud storage by Chao YANG, Qian JI, Si-chun XIONG, Mao-zhen LIU, Jian-feng MA, Qi JIANG, Lin BAI

“…Deduplication is widely used in cloud storage service to save bandwidth and storage resources,however,the security of client deduplication still flaws in an external attack to access a user’s private data.Xu-CDE,a deduplication solution of encrypting data for multi-client was first proposed,which could protect the privacy of data from the external attackers and honest but curious server,with favorable theoretical meaning and representativeness.However,in Xu-CDE,the user ownership authentication credentials were lack of instantaneity protection,which could not resist replay attack.As an improvement to the flaw,the protocol MRN-CDE (MLE based and random number modified client-side deduplication of encrypted data in cloud storage) was proposed,adding random number in order to ensure the instantaneity of the authentication credentials,and using the algorithm of MLE-K_Pto extract key from original file to replace the file itself as an encryption key.As a consequence,the new protocol improved security while significantly reduced the amount of computation.After the safety analysis and the actual tests,results show that based on Xu-CDE,the proposed protocol MRN-CDE has stronger security of ownership,and improves time efficiency.Specially,the new protocol works better on large files in cloud with a certain value.…”
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Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models by Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

“…In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-controlled-reactor (TCR) compensator according to the smallest fitness value required for voltage balancing. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Overall, the system and algorithm achievements have reference and significance for the construction of future smart classrooms.…”
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