Review of Recent Advances in Predictive Maintenance and Cybersecurity for Solar Plants by Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, Rachid Saadane

“…It also highlights the Internet of Things (IoT), machine learning (ML), and deep learning (DL), which are all incorporated into solar panel predictive maintenance. …”
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Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments by Hanan Abbas Mohammad

“… The Internet of Things (IoT) is no longer limited to single personalities, but rather, it is a perceptions that has widely increased and spread in some applications or fields. …”
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Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization by Qing SHU, Xiaoning ZHANG, Zesong FEI

“…Unlike medium and high earth orbit satellites, LEO satellites have the characteristics of small path loss, low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services, global internet of things, emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems, a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed, which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system, the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference, the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization, it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.…”
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Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review by Mei Yang, Shah Nazir, Qingshan Xu, Shaukat Ali

“…The data are ever increasing with the increase in population, communication of different devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes into different shapes such as volume, velocity, variety, veracity, and value extracting meaningful information and insights, all are challenging tasks and burning issues. …”
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Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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A Distributed Agents QoS Routing Algorithm to Transmit Electrical Power Measuring Information in Last Mile Access Wireless Sensor Networks by Ting Yang, Wenping Xiang, Linqi Ye

“…Internet of Things or wireless sensor networks (WSNs) can be utilized in monitoring electrical power consumption. …”
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A low-cost autonomous and scalable hydroponics system for space farming by Jae Hyeon Ryu, Jeonghyun Baek, Zarin Subah

“…The proposed system is an autonomous, modular, scalable, and soilless food production platform (ASFP) that can be installed in a spacecraft by meeting requirements and constraints set by the National Aeronautics and Space Administration (NASA). A suite of Internet of Things (IoT) sensors was used to monitor indoor climate as well as water quality in ASFP. …”
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Design of Hydrological Telemetry System Based on NB-IoT Communication Technology by ZHANG Xinmeng, LIU Shuyang, WANG Canhui

“…With the progress in society and information technology, the rapid emergency response capability for urban flood,drought,and wind prevention needs to be improved.Given the demand, this paper adopts the low-power Internet of Things (NB-IoT) communication technology to design water and rain telemetry terminals in the way of product integration instead of traditional system integration.This technology further reduces the dependence of the equipment on the external environment and improves the stability and reliability of the front-end data acquisition of the hydrological telemetry system,making it possible to deploy the hydrological telemetry terminal for monitoring on a large scale.According to urban emergency prevention and control requirements,Guangzhou Nansha District Flood and Drought Prevention Headquarters Office constructed a new generation of hydrological telemetry system with low cost,strong scalability,and high reliability.By quickly covering urban flood risk points,the system can master real-time water and rain data in the key position of Nansha District to assist the emergency decision,improve emergency response capabilities,and realize the precise distribution of flood control forces,thus reducing the property losses for urban residents.The results show that the hydrological telemetry system based on NB-IoT communication technology applied on a large scale for the first time in Guangzhou can provide efficient data support for dealing with various disasters in flood seasons.…”
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Research on integrated communication and positioning technology based on visible light by Wei WANG, Jianping WANG, Lifang FENG, Jianli JIN

“…Visible light wireless technology transmits information through visible light, utilizing light-emitting diode (LED) light sources to achieve communication and positioning while illuminating.Visible light communication positioning integration (VLCP) technology is one of the key supporting technologies for future large-scale Internet of things (IoT) applications.Orthogonal frequency division multiplexing (OFDM) technology can be used to allocate different spectral resources to visible light communication (VLC) and visible light positioning (VLP) systems, while achieving communication and positioning functions.Resource allocation is the key to improving the efficiency of VLCP systems and expanding their applicability.A new resource allocation method based on error vector magnitude(EVM) was proposed.EVM was utilized to allocate subcarriers for positioning and communication in VLCP systems, communication and positioning performance was dynamically adjusted based on channel parameters, system quality of service (QoS) was ensured, and system channel utilization was improved.The experimental results indicate that at 1.5 m×1.5 m×1.5 m indoor environment, the proposed resource allocation algorithm can improve channel utilization by at least 19.5% compared to fixed resource allocation algorithms.Under the premise of comparable performance to algorithms that use signal-to-noise ratio (SNR) for resource allocation, it greatly saves system resources and is easy to apply in practice.…”
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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

“…With the rapid changes in technology, the Internet of Things (IoT) has also emerged with many diverse applications. …”
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An inside look into the complexity of box-office revenue prediction in China by Jia Xiao, Xin Li, Shanzhi Chen, Xuhui Zhao, Meng Xu

“…Indexes from seven mainstream video websites are retrieved by the designed big data system which is integrated with the Internet of things technology. Correlation coefficients of different time periods are calculated. …”
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Study on Pore Structure of Shale Reservoir by Low Temperature Nitrogen Adsorption Method by Huaying Mi, Yujie Guo, Xiaogang Yu

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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

“…In industrial IoT (Internet of Things) environments, accurate anomaly detection and high-quality data management are crucial yet challenging due to noisy and incomplete sensor data. …”
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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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How to structure data from an IoT monitoring network by Ziwen Yu

“… Internet of Things (IoT) has been widely used in agriculture for smart farming and precision agriculture to improve efficiency and effectiveness in a data-oriented fashion. …”
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Design of Remote Monitoring Iot System Based on 5G and New Optical Fiber Intelligent Structure by Lei Hu

“…In recent years, with the progress and development of social science and technology, remote monitoring of Internet of Things systems has attracted more and more attention. …”
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Graph signal processing based pilot pattern design and channel estimation for OFDM system by Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG

“…Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed pilot pattern due to the complexity and variety of IoT communication scenarios, a pilot design and channel estimation scheme based on graph signal processing (GSP) was proposed.Firstly, the time-frequency resource block was modeled as a graph signal, and the channel estimation problem was reformulated into a sampling and reconstruction problem of the graph signal.Then, considering the influence of time-frequency fading, a weighted graph adjacency matrix was designed to construct a graph topology structure based on the time-frequency position.On this basis, the pilot position is selected based on the graph signal sampling theory, a greedy pilot pattern design algorithm based on weighted graph topology was proposed.At the same time, signal reconstruction was performed based on the graph signal reconstruction method, and a channel estimation method based on the graph smoothness constraint was proposed.Compared with the conventional scheme, simulation results show that the proposed method achieves higher channel estimation accuracy in high-speed scenarios of double selective channels, and effectively reduces pilot overhead in low-speed scenarios.…”
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Deployment of Agriculture 4.0 with the Integration of IoT by Sheila Maria Muniz

“…In this Paper, it is proposed to develop a SA System that uses advantages of cutting-edge technologies such as Arduino, IOT and Wireless Sensor Network (WSN). Internet of Things (IoT)-based smart sensors is the new technique for the SA system. …”
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Miniaturized Mechanical Antennas: Advances, Challenges, and Future Directions by Hao Ren

“…By adopting new materials for mechanical antennas, adopting array configurations, adopting receiving antennas with higher sensitivity, and building new electromagnetic‐electromechanical coupled simulation methods, the maximum operation distance may be significantly improved, making mechanical antennas widely implemented in the Internet of Things (IoT), wireless sensor networks (WSN), implantable medical devices (IMD), and portable electronics applications.…”
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First-Principles Calculations to Investigate the Third-Order Elastic Constants and Mechanical Properties of Mg, Be, Ti, Zn, Zr, and Cd by Xiaoqing Yang, Zhenya Meng, Hailin Cao

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