Model Predictive Control of NCS with Data Quantization and Bounded Arbitrary Time Delays by Jimin Yu, Yanan Xie, Xiaoming Tang

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Distributed Sliding Mode Fault-Tolerant LFC for Multiarea Interconnected Power Systems under Sensor Fault by Xichao Zhou, Zhenlan Dou, Weiming Zhang, Yiwei Zhang, Deyi Wang, Chunyan Zhang, Dezhi Xu

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Distributed Event-Triggered Output Synchronization of Complex-Valued Memristive Reaction-Diffusion Complex Networks with Spatial Sampled-Data by Tiane Chen, Zaihe Cheng

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Application of 5G to current differential protection of distribution network by Yuxiang LV, Yang YANG, Yawen DONG, Yucheng WANG

“…Driven by the strategy of grid as a Platform,Hub,and Sharing as well as the construction of Energy Internet and Ubiquitous power Internet of Things declared by Sate Grid Corporation of China,the intelligent distribution network evolves towards Distribution Internet of Things in a gridding and multi-source manner.The traditional distribution network protection and feeder automation barely meets the self-healing requirements of a strong distribution network.The current differential protection is prevailing due to its favorable quick-acting,sensitivity and selectivity.The existing communication solutions baring protection signals includes:fiber channel,230MHz/1.8GHz private wireless network,etc.However,the above methods are usually costly and perhaps with poor stability and low real-time performance.An realistic baring scheme for current differential protection of distribution network over the fifth generation communication system (5G) was proposed,where the of sampling data transmission between differential protection devices was realized based on 5G new radio technology.Thanks to the advantages of low latency,high capacity,security,etc.,5G-based differential protection can dynamically adjust the configuration to accommodate the topology changes,and thus can reduce the transformation and maintenance cost of distribution network.…”
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Research on the Simulation Application of Data Mining in Urban Spatial Structure by Jun Zhang, Xin Sui, Xiong He

“…Data mining and simulation of the Internet of things (IOT) have been applied more and more widely in the rapidly developing urban research discipline. …”
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BSAMS: Blockchain-Based Secure Authentication Scheme in Meteorological Systems by Yashar Salami, Seyedreza Hosseini

“…The security of communication between Internet of Things devices is a big concern in this field, and with the increase in the number of devices and users, the current architecture and communication protocols cannot adequately respond to the system's needs, such as authentication and access authorization. …”
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Participation of electrolytic aluminum loads in grid interaction control strategies considering process flow and regulation costs by Xi Wang, Xi Wang, Baorui Chen, Baorui Chen, Haocong Xie, Xi Ye, Jiayu Bai, Jiayu Bai

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Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection by Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Anis Koubaa

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A Novel Approach for Detection of Cyber Attacks in MQTT-Based IIoT Systems Using Machine Learning Techniques by Serkan Gönen

“…The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) have grown significantly in the last decade, underlining the increasing need for effective, secure, and reliable data communication protocols. …”
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3D gesture recognition based on dynamic template matching algorithm for intelligent wearable devices by Yunhe LI

“…With the popularity of Internet of things equipment,the smart wearing equipment industry develops rapidly,in which wristband smart bracelets and watches are the mainstream.Intelligent wearable devices have abundant sensors and certain computing power.As human-computer interaction for itself and other devices of the Internet of things through gesture recognition,they have a wide range of needs.A 3D gesture recognition system based on dynamic template matching algorithm was proposed.The gesture meaning was judged by collecting user’s specific gesture from hand-held smart devices,and the control of smart devices was realized by using more natural human-computer interaction technology.The motion sensor of intelligent devices was used to read the corresponding 3D gesture data,and the optimized dynamic time warping algorithm was used to recognize gesture.Based on the characteristics of mobile devices and dynamic programming,the curve path was defined by slope.At the same time,the calculation of template matching and the cost of gesture recognition were reduced by pre-storage distortion threshold.The test is carried out on mobile phones,compared with the traditional algorithm,the proposed algorithm takes less time,has higher recognition efficiency and accuracy,and can bring better human-computer interaction experience.…”
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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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Synergy between Embedded and Non-Embedded Sensors in IoT Networks for Structural Health Monitoring of Concrete Structures: A Literature Review by Najem Oumayma, Benbrahim Mohammed, Kabbaj Mohammed Nabil, Boumhidi Jaouad

“…Structural Health Monitoring (SHM) is increasingly embraced thanks to advancements in the Internet of Things (IoT) and Artificial Intelligence (AI) being combined and infused. …”
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A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications by Nathalie Tan Yhe Huan, Zuriati Ahmad Zukarnain

“…By 2025, the Internet of Things (IoT) infrastructure is projected to encompass over 75 billion devices, facilitated by the increasing proliferation of intelligent applications. …”
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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

“…In today's era, the Internet of Things has become one of the important pillars in organizations, hospitals, and research circles and is recognized as an integral part of the Internet. …”
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Double layer federated security learning architecture for artificial intelligence of things by ZHENG Chengbo, YAN Haonan, FU Caili, ZHANG Dong, LI Hui, WANG Bin

“…In order to overcome the performance and security challenges of using federated learning for joint training among multiple institutions in the context of intelligent Internet of Things, a two-level federated security learning architecture was proposed for intelligent Internet of Things. …”
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Corrigendum

“…Jung June Lee, Kyung Tae Kim, Hee Yong Youn, Enhancement of congestion control of Constrained Application Protocol/Congestion Control/Advanced for Internet of Things environment, International Journal of Distributed Sensor Networks ; vol. 12, 11. …”
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Study on the Evaluation Standard of Construction Quality for Asphalt Pavement Based on the Intelligent Sensing Aggregate by Chen Zhang, Yuxin Zheng

“…The traditional evaluation method of construction quality for asphalt pavement has gradually lagged behind the pace of development of the road industry. Big data, Internet of Things (IoT), and intelligent sensing technology have been reflected in the field of road engineering, but these technologies also have technical shortcomings in terms of applicability, durability, real-time performance, and portability in practice. …”
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A Modified TODIM Based on Compromise Distance for MAGDM with q-Rung Orthopair Trapezoidal Fuzzy Numbers by Benting Wan, Juelin Huang, Xiaolu Zhang

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Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation by Chi Hua, Erxi Zhu, Liang Kuang, Dechang Pi

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Providing a Framework for Implementing Agile Big Data-based Supply Chain (Case Study: FMCG Companies) by Hamed Nozari, Javid Ghahremani-Nahr

“…Given the importance of the supply chain and its prominent role as a core in industrial activities, this study aims to provide a framework for implementing an agile supply chain based on big data from the Internet of Things.Methodology: This research is of developmental and applied type and has been done qualitatively. …”
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