Signal theory based encryption of faster-than-Nyquist signals for fiber and wireless transmission by Abhinand Venugopalan, Karanveer Singh, Janosch Meier, Thomas Schneider

“…Abstract New applications such as the Internet of Things, autonomous driving, Industry X.0 and many more will transmit sensitive information via fibers and over the air with envisioned data rates beyond terabits per second. …”
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Application and Demand Model of 5G Communication Technology in Hydrology by LIU Yunshan, LIU Xunhua, GUO Dongrong

“…In the context of hydrological modernization,the existing communication technology is unable to support the ever-increasing requirements.At present,the application of 5G in many fields has achieved good results.However,there is no in-depth analysis and research on its application situation in the hydrological industry and the demand of the hydrological industry based on 5G.Depending on the analysis of the station network,informatization status and communication technology application regarding hydrology in Ganzhou,the pilot application of 5G in Ganzhou demonstrates that 5G communication technology has obvious advantages over the current communication technology in terms of high-definition video surveillance,hydrological factors monitoring and software system.The analysis of hydrological demand based on 5G yields that demand points for 5G are mainly reflected in hydrological monitoring,equipment technology,video surveillance,software system,hydrological services and Internet of Things related to hydrology,hydrological management and other scalable business.The connection between demand points is also established to build a demand model of 5G-based intelligent hydrology.Noteworthily,the mature application of 5G in the hydrological field to support intelligent hydrology still suffers from some problems,such as low industrialization of support equipment,high cost,small signal coverage and difficult talent training.The next research direction is also proposed in this paper.…”
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HARNESSING ARTIFICIAL INTELLIGENCE FOR HUMAN RIGHTS PROTECTION: ADVANCING SUSTAINABLE PLASTIC WASTE RECYCLING IN NIGERIA by Oludele Solaja

“…Key recommendations for future research include enhancing AI capabilities for waste sorting, integrating Internet of Things (IoT) devices for real-time monitoring, and prioritizing ethics in AI development. …”
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Design of Energy-Efficient Protocol Stack for Nanocommunication Using Greedy Algorithms by Iqra Iqbal, Mohsin Nazir, Aneeqa Sabah

“…This revolutionary transition is bringing Internet of Things (IoT) to Internet of Nanothings (IoNT). …”
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Research on Intelligent Construction Technology Based on Green Concepts by Wang Kai

“…From the analysis of Building Information Modelling (BIM), intelligent building robot, Internet of Things (IoT) and other key technology fields, the significance of the combining of green and intelligent building is summarized. …”
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Environmental Monitoring Through IoT-Enabled Sensor Networks: A Comprehensive Approach by Zhang Hao

“…The current advancements in the field of sensor networks are basic for ecological applications. Web of Internet of Things (IoT) permits associations among different gadgets with the capacity to trade and accumulate information. …”
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Linear SVM-Based Android Malware Detection for Reliable IoT Services by Hyo-Sik Ham, Hwan-Hee Kim, Myung-Sup Kim, Mi-Jung Choi

“…Current many Internet of Things (IoT) services are monitored and controlled through smartphone applications. …”
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A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities by Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal

“…Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. …”
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Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach by Dong Xue, Shah Nazir, Zhiqiang Peng, Hizbullah Khattak

“…Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. …”
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An Efficient Distributed Scheduling Algorithm for Mobility Support in IEEE 802.15.4e DSME-Based Industrial Wireless Sensor Networks by Yun-Sung Lee, Sang-Hwa Chung

“…Recently, the Internet of Things technology has rapidly spread and been applied in various fields including smart factories. …”
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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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Reinforcement learning-based real-time video streaming control and on-device training research by Huanhuan ZHANG, Anfu ZHOU, Huadong MA

“…Service platforms centered on the Internet of things and mobile Internet are in accelerating process.Hundreds of millions of end-users communicate through network real-time video services, which have become an irreplaceable core tool in human’s digital life.However, the Internet is becoming dynamic, and heterogeneous, which imposes stringent requirements on real-time video streaming control technology.Moreover, the QoE of real-time video is not satisfactory.An adaptive reinforcement learning-based video intelligent transmission algorithm was designed, which can deal with heterogeneous network environment.And then, an effective end-to-end on-device training framework was designed to decrease server overhead, and a detailed evaluation and analysis on the neural network design and structure was provided.Experimental results show that the proposed algorithm can effectively predict heterogeneous network bandwidth, and reduces the bandwidth prediction error by 48.48%, comparing with the representative streaming control algorithm.The effective bandwidth prediction can further improve the user QoE, such as improving the video fluency by 60.65%, and improving the video quality by 16.52%.Besides, the analysis can provide empirical insights for further study, and holds potential to push the development of intelligent video applications.…”
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Research on Information Fusion of Computer Vision and Radar Signals in UAV Target Identification by Yuan Wei, Tao Hong, Chaoqun Fang

“…As one of the crucial sensing methods, multisensor fusion recognition aids the Internet of Things (IoT) in connecting things through ubiquitous perceptual terminals. …”
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Energy-saving route optimizationin a software-defined wireless sensor network by Huifeng Huang, Zhihong Wu, Shaoju Tang

“…Energy efficiency in wireless sensor networks is an important concern of ‘green’ Internet of Things. The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. …”
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Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

“…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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Prospects for digitalization of sustainable development projects in the Russian Federation by I. V. Pashkovskaya, B. B. Rubtsov, N. A. Amosova, O. S. Rudakova

“…However, the tools of sustainable development can now be successfully applied if innovative technologies such as blockchain technologies, smart contracts, the Internet of things and digital assets are used. The purpose of the study is to formulate recommendations for the progress of the sustainable development system in Russia, as well as to propose a mechanism for the tokenization of sustainable development bonds to attract and place funds from small investors in order to solve social and environmental problems of the Russian economy.…”
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IoT SOLUTION FOR LEVEL MEASUREMENT IN THE OIL AND GAS INDUSTRY by Constantin Octavian Bercea

“…The fundamental goal of this work is to investigate and explore the design and construction methods for an intelligent, adaptable and flexible level measurement system, based on IoT (Internet of Things) technology. This automatic data acquisition, transmission and processing system must allow the level of a substance to be measured in a non-intrusive manner. …”
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A single flow detection enabled method for DDoS attacks in IoT based on traffic feature reconstruction and mapping by Lixia XIE, Bingdi YUAN, Hongyu YANG, Ze HU, Xiang CHENG, Liang ZHANG

“…To address the slow response time of existing detection modules to Internet of things (IoT) distributed denial of service (DDoS) attacks, their low feature differentiation, and poor detection performance, a single flow detection enabled method based on traffic feature reconstruction and mapping (SFDTFRM) was proposed.Firstly, SFDTFRM employed a queue to store previously arrived flow based on the first in, first out rule.Secondly, to address the issue of similarity between normal communication traffic of IoT devices and DDoS attack traffic, a multidimensional reconstruction neural network model more lightweight compared to the baseline model and a function mapping method were proposed.The modified model loss function was utilized to reconstruct the quantitative feature matrix of the queue according to the corresponding index, and transformed into a mapping feature matrix through the function mapping method, enhancing the differences between different types of traffic, including normal communication traffic of IoT devices and DDoS attack traffic.Finally, the frequency information was extracted using a text convolutional network and information entropy calculation and the machine learning classifier was employed for DDoS attack traffic detection.The experimental results on two benchmark datasets show that SFDTFRM can effectively detect different DDoS attacks, and the average metrics value of SFDTFRM is a maximum of 12.01% higher than other existing methods.…”
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Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

“…Fog computing domain plays a prominent role in supporting time-delicate applications, which are associated with smart Internet of Things (IoT) services, like smart healthcare and smart city. …”
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A Study on Intelligent User-Centric Logistics Service Model Using Ontology by Saraswathi Sivamani, Kyunghun Kwak, Yongyun Cho

“…With the increase of internet usage, the real-time situations are received which helps to create a more reliable relationship, owing to the Internet of Things. Through this service model, it is possible to engage in the development of various IT and logistics convergence services based on situation information between the deliverer and user which occurs in real time.…”
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