Gear Rattle Elimination Control of a Power-split Hybrid Electric Car by Wang Chen, Yu Jianbin, Zhou Wentai

“…The real vehicle experiment results which use the speech intelligibility evaluation show that the control strategy can weaken the gear rattle and improve the vehicle ride comfort greatly.…”
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The dialectics of performativity: Judith Butler and the cultural constitution by Aiswarya Pradeep Kumar, Anoop George

“…Butler points out that power has a prominent role in the construction of the body, and it creates both intelligible and unintelligible bodies through social norms. …”
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A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization by Qingyang Xu, Chengjin Zhang, Li Zhang

“…Estimation of distribution algorithm (EDA) is an intelligent optimization algorithm based on the probability statistics theory. …”
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Application of IoT technology in the prevention of geological hazard by Hui QIAO, Tao WANG, Zhiyuan XIE

“…A system of on-line monitoring,warning,command and dispatch of geological hazard based on the IoT was presented,which was based on the practice of the China Mobile IoT Company on-line monitoring and warning project of geological hazard,and the preventing techniques of geological hazard at home and abroad.The system mainly consisted of four links:online automatic monitoring,geological disaster warning,command and decision-making,rescue scheduling.The system could monitor the geological hazards for 24 hours uninterruptedly,automatically finding the anomaly of the geological hazard points and alarm automatically when abnormal state of the hidden danger points was found.Through the intelligent data analysis,the system could help commanders make the scientific decision quickly; through the IoT label on the rescue personnel,equipment and materials,the system could show them on the map in real time to help commanders dispatch rescue forces to arrive at the scene as soon as possible.Finally,several key technology applications of geological hazard preventing system were prospected.…”
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Forward Position Analysis of 3-RPS Parallel Mechanism based on ADE-Newton algorithm by Peng Siyang, Li Ping, Che Linxian, Du Li

“…By a combination of the intelligent optimization algorithm and the numerical iteration method,a combined algorithm called Adaptive differential evolution and Newton iteration（ ADE-Newton） algorithm is constructed. …”
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Fault Diagnosis Method of Gear based on VMD and Multi-feature Fusion by Wang Jianguo, Chen Shuai, Zhang Chao

“…Finally,the high- dimensional feature vectors composed of PE and energy are transformed as input of least squares support vector machine（ LS- SVM） to identify gear fault types.The experimental results indicate that VMD can better separate complex multi- components signal from each other,the PE and energy feature can reveal the gear fault information from different scales,the intelligent fault diagnosis method based on VMD and multi- feature fusion can identify the operating conditions of gear accurately and provide reference for the gear fault warning and severity.…”
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Near-Field Hierarchical Localization for Integrated Sensing and Communication by Giorgos Stratidakis, Sotiris Droulias, Angeliki Alexiou

“…The algorithm can be implemented with large antenna arrays, and large intelligent surfaces. The performance of the algorithm for static and mobile users is evaluated through Monte-Carlo simulations. …”
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Research on Safety Monitoring Management System of Earth-Rock Dams Based on BIM+GIS and Its Application by ZHANG Xiaoyang, HANG Xuchao, JIA Yuhao, QIAN Feng

“…In addition,a three-dimensional (3D) design solution for earth-rock dams based on Bentley software is put forward to build a fine 3D model with unique codes connected to the whole process of instrument management.Thus,multi-source data are collected and integrated into this system to ensure system applications.The system functions mainly include visual displays,monitoring instrument management,as well as data management and analysis.The application of the system in earth-rock dams in Hubei Province shows good results,which has laid a solid foundation for the digital and intelligent operation and maintenance of engineering.…”
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Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming by Abdul Wahid, Syed Zain Ul Abideen, Nouman Imtiaz, Mian Muhammad Kamal, Abdullah Alharbi, Amr Tolba, M. A. Al-Khasawneh, Inam Ullah

“…This paper proposes a novel framework for enhancing secure transmission using hybrid active-passive Reconfigurable Intelligent Surfaces (RIS). By combining active and passive elements, the hybrid RIS can dynamically adjust the amplitude and phase of reflected signals, providing a robust defense against eavesdropping and jamming. …”
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Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System by Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, Ranjan Walia, Patteti Krishna, Sivakumar Ponnusamy, Karthikeyan Kaliyaperumal

“…The development of this innovative framework was prompted by a scarcity of high-quality satellite imagery. This intelligent strategy is based on a new theoretical framework that employs the energy equation to improve crop yield predictions. …”
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Physiological Characteristics and Nonparametric Test for Master-Slave Driving Task’s Mental Workload Evaluation in Mountain Area Highway at Night by Haiwei Wang, Jianrong Liu, Feng You

“…With the rapid development of advanced mobile intelligent terminals, driving tasks are diverse, and new traffic safety problems occur. …”
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Improved dynamic programming method for solving multi-objective and multi-stage decision-making problems by Zhihao Liang, Kegang Zhao, Kunyang He, Yanwei Liu

“…Abstract Multi-objective and multi-stage decision-making problems require balancing multiple objectives at each stage and making optimal decision in multi-dimensional control variables, where the commonly used intelligent optimization algorithms suffer from low solving efficiency. …”
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LSTM-Based Deep Model for Investment Portfolio Assessment and Analysis by Haohua Yang

“…These models attempt to characterize fiat-delayed series through intelligent acquaintance methods to predict data and arrange investment strategies. …”
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A trusted IoT architecture model by Ansheng YIN, Shijun ZHANG

“…The internet of things (IoT) has been widely concerned and developed in the world,and its security has been paid more and more attention.However,due to the characteristics of the IoT itself,a lot of security measures in the internet field can’t be applied directly.The current security strategy mainly provide solutions according to the threat of the IoT one by one.In face of increasingly intelligent,systematic,integrated security threats,a trusted IoT architecture of two layers and tri-elements,which brought about a whole trusted security mechanism according to the function of IoT.Starting with the integrity and safety inspection of hardware and software of sensor devices,the trusted chain was transmitted until the application layer,and data was processed according to behavior trusted value in application layer.At the same time,the control function and the data function were separated,and the security strategies cooperated and verified with each other,therefore improving the ability of the IoT to deal with security threats effectively.…”
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Study on Electromechanical Coupling Dynamic Characteristics of Robot Joint Servo Transmission System by Shuai Mo, Zhenning Yang, Zhiyou Feng, Xu Li, Changpeng Zhou, Guojian Cen, Yunsheng Huang

“…In view of the high operation accuracy requirements of intelligent robots， it is very necessary to study the dynamic characteristics of the typical motor driven gear electromechanical coupling system of robot joint servo under different working conditions. …”
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Regulation Mechanism of Spatial Capacity of Tourist Resources in Scenic Spots Based on Internet of Things Technology by Xiaona Xie, Wenliang Zhang

“…This paper first calculates the spatial capacity of various tourism resources in a scenic spot by using mathematical model and then studies the intelligent spatial management model of tourist flow in the scenic spot based on the Internet of Things technology. …”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…This study provides a basic framework for building an intelligent medical auxiliary diagnosis system, which helps to achieve early prevention and timely judgment of heart disease, thereby improving the overall efficiency of medical services.…”
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Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks by Vandana Rani Verma, Dinesh Kumar Nishad, Vishnu Sharma, Vinay Kumar Singh, Anshul Verma, Dharti Raj Shah

“…These results highlight the immense potential of quantum machine learning to revolutionize next-generation MEC networks and support emerging applications at the intelligent network edge.…”
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Review on Fault Diagnosis Technology for High-speed EMU Gearboxes by Zhang Jianchao, Chen Xiangsong, Hao Rujiang, Gu Xiaohui, Ren Bin

“…The single diagnosis technology can not accurately diagnose the multi-type failures of the gearbox due to its limitations, and the fusion of multiple techniques based on advanced intelligent algorithms is expected to be one of the research focuses for fault diagnosis in this field in the future.…”
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Research on the graphical convolution neural network based benefits recommendation system strategy by Tao TAO, Zhen LI, Jibin WANG, Haiyong XU, Yong JIANG, Zhuo CEHN, Runbo ZHANG, Qingyuan HU

“…The recommendation system is one of the important methods to realize the intelligent recommendation of massive Internet benefit products.In order to improve the accuracy of personalized benefits recommendation, a deep learning recommendation system based on graph computing method was proposed.Considering the heterogeneity of multi-source data, a graph representation technology based on deep learning was carried out to construct the multiple relationship graph between users and benefit products.The multiple relationship graph extracted the information of graph structure, and model the heterogeneous graphs for the multi-dimensional features of users and the multiple interaction modes between rights and interests products, which effectively aggregated various interactive information and the multiple feature.A heterogeneous graph convolutional neural network was built to learn the high-dimensional feature vectors for various nodes, and excavate users＇ latent preferences to provide a recommendation link with strong interpretability, which greatly improved the recommendation success rate and generating economic value.…”
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