LQG control-aware resource scheduling method for IEEE 802.11ax networks by Meng ZHENG, Lei ZHANG, Wei LIANG

“…Due to the advantages in low cost, ease of maintenance and license-exempt spectrum, etc, IEEE 802.11ax is widely adopted in industrial control applications.For a wireless networked control system based on IEEE 802.11ax, a control-aware resource scheduling method was proposed to support the wireless high-speed control of multiple control systems.Firstly, considering the packet dropout problem of sensing data in IEEE 802.11ax, the optimal state estimator and the linear quadratic Gaussian (LQG) control of the studied control system were given.Secondly, the dependency between the LQG performance and the transmission reliability of IEEE 802.11ax was analyzed, the expected LQG performance minimization problem of resource scheduling was formulated, and further, an LQG control-aware resource scheduling (LCARS) method was proposed.Finally, the effectiveness of the LCARS method was demonstrated via extensive simulations.LCARS can be applied to smart factory applications including navigation of automated guided vehicles, remote control of robots and so on.…”
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M-folding method–based elliptic curve cryptosystem for industrial cyber-physical system by Taehoon Do, Seungwoo Park, Jaehwan Lee, Sangoh Park

“…The proposed m-folding method–based elliptic curve encryption showed 50% faster encryption than the existing methods.…”
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On the Pseudospectral Method for Solving the Fractional Klein–Gordon Equation Using Legendre Cardinal Functions by Tao Liu, Bolin Ding, Behzad Nemati Saray, Davron Aslonqulovich Juraev, Ebrahim E. Elsayed

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Region-of-Interest Extraction Method to Increase Object-Detection Performance in Remote Monitoring System by Hyeong-GI Jeon, Kyoung-Hee Lee

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Dynamic Prediction Method for Ground Settlement of Reclaimed Airports Based on Grey System Theory by Ke Ma, He Weng, Zhaojun Luo, Saeed Sarajpoor, Yumin Chen

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TSM-TLHS Prediction Method for Assembly Deformation of Large Curved Thin Plates in Shipbuilding by JIN Xuancheng, HONG Ge, GAO Shuo, XIA Tangbin, HU Xiaofeng, XI Lifeng

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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

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Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction by Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

“…The advent of smart grids has facilitated data-driven methods for detecting electricity theft, with a preponderance of research efforts focused on user electricity consumption data. …”
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Hybridized Brazilian–Bowein type spectral gradient projection method for constrained nonlinear equations by Jitsupa Deepho, Abdulkarim Hassan Ibrahim, Auwal Bala Abubakar, Maggie Aphane

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An LSTM-driven thermoelectric coupling response prediction method for shape memory alloy actuators by Shaozhe Ding, Longbin Liu, Shifeng Zhang, Mingkun Li

“…Unlike conventional approaches, our method decouples material behavior prediction from actuator geometry: A single-layer LSTM network processes voltage-time sequences to predict SMA wire’s temperature and resistance dynamics, while a physics-based model computes angular displacement through phase transformation and constitutive equations. …”
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An Enhanced Forwarding Method based on Intelligent Water Drops Algorithm in Named Data Network by HamidReza Afzal, Behrang Barekatain, Zahra Beheshti

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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

“…Non-Intrusive Load Monitoring(NILM) is a key technology for smart electricity consumption, which helps strengthen load-side management and improve electricity efficiency. …”
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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing by Yixiong Feng, Tianyue Wang, Bingtao Hu, Chen Yang, Jianrong Tan

“…Traditional prediction methods of assembly quality mainly focus on building classification or regression models with high accuracy. …”
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A Novel Method for Short-Circuit Current Suppression Based on Instant System Reconstruction by Gang Xu, Xin Qie, Bin Han, Hua Xie, Wenjie Wang, Yue Yu, Jie Hu

“…The simulation result shows the effectiveness of the proposed method.…”
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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

“…This article aims to develop a hybrid feature selection method to find the most influential features based on three feature selection methods, correlation, generalized normal distribution optimization, and lasso, to detect botnet attacks in IoT devices. …”
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Optimization method for remaining life prediction of conventional circuit breaker based on deep learning by SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui

“…In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed. …”
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A Malware Detection Method Based on Genetic Algorithm Optimized CNN-SENet Network by Zheng Yang, Hua Zhu, Zhao Li, Gang Wang, Meng Su

“…The examples under the public dataset containing 8 kinds of malware show that the proposed method is better than the traditional algorithmic model, and can accurately and efficiently achieve malware detection with strong generalization ability.…”
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Truck Lifting Accident Detection Method Based on Improved PointNet++ for Container Terminals by Yang Shen, Xintai Man, Jiaqi Wang, Yujie Zhang, Chao Mi

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A Technical Overview on Beta-Attenuation Method for the Monitoring of Particulate Matter in Ambient Air by Kritika Shukla, Shankar G. Aggarwal

“…Like any other technique, this method has several limitations that have been recorded in many studies. …”
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A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

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