Reviews of D2D technology for 5G communication networks by Zhi-hong QIAN, Xue WANG

“…The most relevant techniques for the future large-scale net-works, such as mobility, QoS and big data behavior, are addressed in details.…”
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Manufacturing execution system of mineral processing based on Internet of things by Tianyou CHAI, Jinliang DING, Quan XU, Heng YUE

“…With the development trend of intelligent,networked,integrated in the automation field of mineral processing industry,the longitudinal seamless fusion and integration from the Internet of things to the Internet of the full interconnection manufacturing network of mineral processing were constructed based on the actual demand of the enterprise management and control,data acquisition,transmission,storage and analysis framework were designed for industrial big data generated from mineral processing,the intelligent manufacturing execution system based on the Internet of things and the industrial cloud was developed.The new functions of integrated process production index optimization and decision making,equipment safety video surveillance and management,personnel vehicle location and tracking,energy management,mobile and remote monitoring,and so on were discussed.The manufacturing execution system based on the Internet of things and the industrial cloud was implemented and used in an iron and steel group.The effectiveness of the MES is verified.…”
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Application of artificial intelligence in mobile communication:challenge and practice by Yusun FU, Genke YANG

“…The research and application progress in mobile communication,and points out its obstacle for improving the performance of mobile communication system were summarized.A new approach for reducing the gap between the practical and the ideal network performance was put forward creatively,which included the artificial intelligence reconstruction for performance outer loop part,the traditional adaptation or optimization for performance inner loop part,and the optimal cooperation between the two parts.The effectiveness of this approach was proved by the several successful applications.Finally,it pointed out that in order to meet the severe demands of mobile communication system for the “stable” “accurate” and “fast” artificial intelligence solution,and make the mobile network automatic,intelligent and wise,in addition to the excellent performance of the artificial intelligence reconstruction scheme itself,there must also be a feedback closed-loop system architecture based on the big data analysis and analog system,which is the key path to achieve this target.…”
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Using WPCA and EWMA Control Chart to Construct a Network Intrusion Detection Model by Ying-Ti Tsai, Chung-Ho Wang, Yung-Chia Chang, Lee-Ing Tong

“…Artificial intelligence algorithms and big data analysis methods are commonly employed in network intrusion detection systems. …”
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Future directions: what LIES ahead for smart biochemical wearables in health monitoring? by S. Kharb

“…Personalized insights for enhancing their functionality are possible by integrating them with AI and big data analytics for early disease detection and proactive health management. …”
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Design and Implementation of One Map of Watershed Water Conservancy by GAN Haoxin, WANG Zhilong

“…Given the needs of watershed water conservancy management and the requirements of intelligent water conservancy construction,this study adopts the construction and operation mode of “joint construction,shared use,business update and intensive maintenance”,to build One Map of watershed water conservancy that is “dynamic,vivid,three-dimensional,intelligent,safe and reliable” based on the national water conservancy map.Through technological innovation in the fields of data,model,platform and application,this study aims to guide the construction practice of One Map of Pearl River water conservancy,so as to build One Map big data center,One Map service cloud platform,One Map intelligent application,One Map normative system,etc.for Pearl River Basin.This study supports multi-dimensional information query and analysis,rapid construction of special applications,construction of professional systems based on unified maps,and full aggregation display of business achievements,promoting the construction of digital twin watershed.…”
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Privacy-utility tradeoff method using multi-variable source coding by Yong-hao GU, Jiu-chuan LIN

“…In the age of big data,data providers need to ensure their privacy,while data analysts need to mine the value of data.So,how to find the privacy-utility tradeoff has become a research hotspot.Current works mostly focus on privacy preserving methods,ignoring the data utility.Based on the current research of privacy utility equilibrium methods,a privacy-utility tradeoff method using multi-variable source coding was proposed to solve the problem that different public datasets in the same database have different privacy requirements.Two results are obtained by simulations.The first result is that the greater the association degree between the private information and public information,the increase of the distortion degree of public information will significantly improve the effect of privacy preservation.The second result is that public information with larger variance should be less distorted to ensure more utility.…”
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First‐in‐human orbital tumor surgery guided by near‐infrared II window fluorescence imaging: A feasibility study by Zeyu Zhang, Lishuang Guo, Lan Yao, Yueyue Li, Yan Hei, Qi Wang, Xiaoyi Wang, Rui Ma, Xinji Yang, Zhenhua Hu, Wei Wu

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Integrating transcriptomics, metabolomics, and network pharmacology to investigate multi-target effects of sporoderm-broken spores of Ganoderma lucidum on improving HFD-induced dia... by Lidan Hu, Lili Yu, Zhongkai Cao, Yue Wang, Caifeng Zhu, Yayu Li, Jiazhen Yin, Zhichao Ma, Xuelin He, Ying Zhang, Wunan Huang, Yuelin Guan, Yue Chen, Xue Li, Xiangjun Chen

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Teknologi Opinion Mining untuk Mendukung Strategic Planning by Dwi Rolliawati, Khalid Khalid, Indri Sudanawati Rozas

“…Banjir data di era Big Data sudah tidak bisa terelakkan lagi. Termasuk di dalamnya data yang sangat melimpah di media sosial daring. …”
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Construction and Application of Digital Asset Platform for Hydropower Engineering by JIA Yuhao

“…The development of informatization and digitization of hydropower engineering is exposed to problems such as inconsistent data standards,uneven data quality,scattered data storage,weak correlation between data,and difficult data sharing.By referring to the concept of asset management,technologies including BIM,digital twins,and big data are used to construct an asset data model through the collection of engineering-related data assets and with the engineering asset codes as the link.In addition,an engineering digital asset platform is designed and developed to meet the asset management functions such as engineering data asset integration, management queries,download,and sharing,as well as the comprehensive application functions such as the overview of basic engineering information,multi-dimensional full life cycle asset management,and typical scenario application. …”
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Digital solutions in the activities of small logistics enterprises (on the example of the Sverdlovsk region) by M.V. Vlasov, A.A. Sidorov

“…The introduction of information technologies such as the Internet of Things, blockchain, sustainability technologies, robotization, big data analysis and artificial intelligence significantly allows to increase the efficiency of logistics companies, optimize routes and improve inventory management. …”
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Adaptive Asymptotic Tracking Control for a Class of Uncertain Switched Systems via Dynamic Surface Technique by Xuemiao Chen, Qianjin Zhao, Chunsheng Zhang, Jian Wu

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An Overview of Agent-Based Models for Transport Simulation and Analysis by Jiangyan Huang, Youkai Cui, Lele Zhang, Weiping Tong, Yunyang Shi, Zhiyuan Liu

“…In conclusion, some recommendations are given and suggest potential and insightful directions such as Big Data and Digital Twin for future research.…”
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Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

“…In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.Firstly,the load prediction model was set up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.Secondly,the resource judgment model was set up to identify the performance bottleneck and resource redundancy of the cluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.Finally,the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing load among nodes efficiently.The experimental results show that the strategy provides better performance promotion in the application with drastically fluctuating processing load.The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.…”
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Challenges and Prospects of Sensing Technology for the Promotion of Tele-Physiotherapy: A Narrative Review by Kei Kakegawa, Tadamitsu Matsuda

“…The development of these technologies will not only enhance the accuracy of deep learning by AI through the acquisition of big data, but also has the potential to elucidate movement characteristics associated with movement disorders or pathological conditions. …”
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Blockchain empowered 6G by Yueyue DAI, Ke ZHANG, Yan ZHANG

“…6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing,edge computing,artificial intelligence,and big data,and use a new network architecture to achieve wider interconnection and interoperability across network and domains,and provide an intelligent,safe and efficient technical support for industrial Internet of things,smart cities,and intelligent transportation.Blockchain technology as a decentralized,open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly,the difference between 5G and 6G network and the challenges of 6G faced were given,and the research of blockchain technology in spectrum management,mobile edge computing and D2D communication was reviewed.Then,the integration of blockchain technology and 6G emerging network was explored.Thus,the technical challenges in terms of blockchain and the cloud-edge-device network,blockchain and federal learning,blockchain-based resource transactions,and lightweight blockchain for edge network were presented.The corresponding solutions were also given.…”
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Kernel of Internet of Things:Internet of Data by Qi ZHANG, Hao YANG, Q.S.Quek Tony, Shi JIN, Hong-bo ZHU

“…The Internet of Things (IoT) is a collection of devices,sensors and computing capabilities that enable intelligent command and control across vast regions in an automated manner,where data is generated by large-scaled devices and often sent to a centralized system for processing.Therefore,for IoT scenarios,it is important to have an efficient way to collect data at low power,transmit them in very short time,process them in close to real time,and send back the results of this processing.The main data problems in IoT are investigated,and the data entities are organized to form a network,coined as the Internet of Data (IoD),which has huge potential in data-intensive applications.To better understand IoD,the basic concept and main challenges of IoD are also stated.Meanwhile,to provide more detailed understanding,some feasible techniques that can be used in IoD are also explored,like big data,data mining and artificial intelligence,which are all hot research areas and have been studied extensively in recent years.…”
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Enhance the Transfer Capacity of Multiplex Networks by Fei Shao, Wei Zhao, Binghua Cheng

“…One of the extremely critical problems is to reduce the congestion and enhance the transfer capacity, especially in real communication networks with a big data environment. A novel and effective strategy to improve traffic and control congestion is proposed by adding edges according to their weights which are defined by the topology structural properties. …”
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