【Author】 Yang, Jing Wang, Xiaoxing Zhao, Yandong

【Source】IEEE-CAA JOURNAL OF AUTOMATICA SINICA

【影响因子】7.847

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】Briefing: To tackle the complexity of human and social factors in manufacturing systems, parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart manufacturing for effective and efficient operations of those systems, where Cyber-Physical-Social Systems (CPSSs) and the Internet of Minds (IoM) are regarded as its infrastructures and the "Artificial systems ", "Computational experiments " and "Parallel execution " (ACP) method is its methodological foundation for parallel evolution, closed-loop feedback, and collaborative optimization. In parallel manufacturing, social demands are analyzed and extracted from social intelligence for product R & D and production planning, and digital workers and robotic workers perform the majority of the physical and mental work instead of human workers, contributing to the realization of low-cost, high-efficiency and zero-inventory manufacturing. A variety of advanced technologies such as Knowledge Automation (KA), blockchain, crowdsourcing and Decentralized Autonomous Organizations (DAOs) provide powerful support for the construction of parallel manufacturing, which holds the promise of breaking the constraints of resource and capacity, and the limitations of time and space. Finally, the effectiveness of parallel manufacturing is verified by taking the workflow of customized shoes as a case, especially the unmanned production line named FlexVega. [Yang, Jing] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China; [Yang, Jing] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China; [Wang, Xiaoxing] Beijing SANBODY Technol Co Ltd, Beijing 214000, Peoples R China; [Zhao, Yandong] North Automat Control Technol Inst, Taiyuan 030006, Peoples R China Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS Zhao, YD (通讯作者)，North Automat Control Technol Inst, Taiyuan 030006, Peoples R China. yangjing2020@ia.ac.cn; easymax3d@163.com; 15655168563@126.com National Key R&D Program of China [2018AAA0101502]; Science and Technology Project of SGCC (State Grid Corporation of China): Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control National Key R&D Program of China; Science and Technology Project of SGCC (State Grid Corporation of China): Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control We would like to thank Prof. Fei-Yue Wang for his valuable suggestions that have greatly improved this paper. Also, he firstly proposed the concept of parallel manufacturing in 2018, which inspired our work. This work was supported by the National Key R & D Program of China (2018AAA0101502) and the Science and Technology Project of SGCC (State Grid Corporation of China): Fundamental Theory of Human-in-the-Loop Hybrid-Augmented Intelligence for Power Grid Dispatch and Control. Al-Mashari M, 2003, IND MANAGE DATA SYST, V103, P22, DOI 10.1108/02635570310456869; Al-wswasi M, 2018, INT J ADV MANUF TECH, V97, P809, DOI 10.1007/s00170-018-1966-1; Cai PD, 2021, IEEE T INTELL VEHICL, V6, P419, DOI 10.1109/TIV.2020.3033878; Chen YY, 2020, IEEE T INTELL TRANSP, V21, P1624, DOI 10.1109/TITS.2019.2910295; Dustdar S, 2021, IEEE-CAA J AUTOMATIC, V8, P1901, DOI 10.1109/JAS.2021.1004222; Franze G, 2020, IEEE-CAA J AUTOMATIC, V7, P1201, DOI 10.1109/JAS.2020.1003327; Gali R. T, 1991, COMPUTER AIDED PROCE; Ghahramani M, 2020, IEEE-CAA J AUTOMATIC, V7, P1026, DOI 10.1109/JAS.2020.1003114; Goodfellow I, 2020, COMMUN ACM, V63, P139, DOI 10.1145/3422622; Harford S, 2021, IEEE-CAA J AUTOMATIC, V8, P1523, DOI 10.1109/JAS.2021.1004108; Ho J., 2020, ADV NEURAL INF PROCE, V574, P6840; Huang B, 2022, IEEE T AUTOM SCI ENG, V19, P243, DOI 10.1109/TASE.2020.3026351; Huang GQ, 2009, INT J COMPUT INTEG M, V22, P579, DOI 10.1080/09511920701724934; Ji YJ, 2022, INFORM SCIENCES, V589, P360, DOI 10.1016/j.ins.2021.12.063; Lasi H, 2014, BUS INFORM SYST ENG+, V6, P239, DOI 10.1007/s12599-014-0334-4; Lattanzi L, 2021, INT J COMPUT INTEG M, V34, P567, DOI 10.1080/0951192X.2021.1911003; Lee JY, 2011, INT J COMPUT INTEG M, V24, P627, DOI 10.1080/0951192X.2011.569953; Li Lijun, 2018, Science & Technology Review, V36, P48, DOI 10.3981/j.issn.1000-7857.2018.21.005; Li L, 2018, TECHNOL FORECAST SOC, V135, P66, DOI 10.1016/j.techfore.2017.05.028; Li X, 2022, IEEE INTELL SYST, V37, P18, DOI 10.1109/MIS.2022.3197950; Lu HM, 2021, IEEE-CAA J AUTOMATIC, V8, P1221, DOI 10.1109/JAS.2021.1004042; Mamta, 2021, IEEE-CAA J AUTOMATIC, V8, P1877, DOI 10.1109/JAS.2021.1004003; Meier H, 2010, CIRP ANN-MANUF TECHN, V59, P607, DOI 10.1016/j.cirp.2010.05.004; Niu X., 2017, IEEE INT C AUT COMP, P1; Qin R, 2020, IEEE T COMPUT SOC SY, V7, P1180, DOI 10.1109/TCSS.2020.3023046; Qin W, 2020, DIGIT COMMUN NETW, V6, P1, DOI 10.1016/j.dcan.2019.07.001; Ren L, 2015, ENTERP INF SYST-UK, V9, P186, DOI 10.1080/17517575.2013.839055; Schutera M, 2021, IEEE T INTELL VEHICL, V6, P480, DOI 10.1109/TIV.2020.3039456; Suh SH, 2008, INT J COMPUT INTEG M, V21, P540, DOI 10.1080/09511920802023012; Sunday A. Afolalu, 2021, E3S Web of Conferences, V309, DOI 10.1051/e3sconf/202130901002; [陶飞 Tao Fei], 2017, [计算机集成制造系统, Computer Integrated Manufacturing Systems], V23, P1; Wang BC, 2021, ENGINEERING-PRC, V7, P738, DOI 10.1016/j.eng.2020.07.017; Wang F.-Y., 2004, COMPLEX SYST COMPLEX, V1, P25; Wang F.-Y., 1999, CAST LAB CYBER SOCIA; Wang F.-Y., 2012, B CHIN ACAD SCI, V27, P658; Wang FY, 2022, IEEE INTELL SYST, V37, P16, DOI 10.1109/MIS.2022.3154541; Wang Fei-Yue, 2018, Science & Technology Review, V36, P10, DOI 10.3981/j.issn.1000-7857.2018.21.001; Wang FY, 2018, IEEE T COMPUT SOC SY, V5, P897, DOI 10.1109/TCSS.2018.2881344; Wang FY, 2018, IEEE T COMPUT SOC SY, V5, P2, DOI 10.1109/TCSS.2018.2797598; Wang FY, 2008, IEEE INTELL SYST, V23, P8, DOI 10.1109/MIS.2008.112; Wang JF, 2020, IEEE SYST J, V14, P3047, DOI 10.1109/JSYST.2019.2963222; Wang KF, 2017, ARTIF INTELL REV, V48, P299, DOI 10.1007/s10462-017-9569-z; Wang QY, 2021, IEEE-CAA J AUTOMATIC, V8, P334, DOI 10.1109/JAS.2020.1003518; Wang S, 2019, IEEE T COMPUT SOC SY, V6, P870, DOI 10.1109/TCSS.2019.2938190; Wang S, 2019, IEEE T SYST MAN CY-S, V49, P2266, DOI 10.1109/TSMC.2019.2895123; Wang X, 2022, IEEE INTELL SYST, V37, P97, DOI 10.1109/MIS.2022.3196592; Xu X, 2012, ROBOT CIM-INT MANUF, V28, P75, DOI 10.1016/j.rcim.2011.07.002; Yang J., 2022, J INTELL SCI TECHNOL, V2, P6; Yang J., 2021, INT J INTELL CONTROL, V1, P22; Yao XF, 2019, J INTELL MANUF, V30, P2805, DOI 10.1007/s10845-017-1384-5; Ye Y., 2019, THESIS SHANDONG U; Zhang K, 2021, IEEE T CYBERNETICS, V51, P5455, DOI 10.1109/TCYB.2019.2960039; Zhou J, 2019, ENGINEERING-PRC, V5, P624, DOI 10.1016/j.eng.2019.07.015 54 0 0 0 0 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PISCATAWAY 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA 2329-9266 2329-9274 IEEE-CAA J AUTOMATIC IEEE-CAA J. Automatica Sin. DEC 2022 9 12 2063 2070 10.1109/JAS.2022.106097 http://dx.doi.org/10.1109/JAS.2022.106097 8 Automation & Control Systems Science Citation Index Expanded (SCI-EXPANDED) Automation & Control Systems 6V3RN Bronze 2023-01-05 WOS:000894969600005

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Parallel Manufacturing; Digital Workers; CPSS; Smart Manufacturing; Industrial Metaverses

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 理论模型

【DOI】 10.1109/JAS.2022.106097

【Author】 Xu, Ronghua Wei, Sixiao Chen, Yu Chen, Genshe Pham, Khanh

【Source】DRONES

【影响因子】5.532

【主题类别】

区块链应用-实体经济-无人机领域

【Abstract】Rapid advancements in the fifth generation (5G) communication technology and mobile edge computing (MEC) paradigm have led to the proliferation of unmanned aerial vehicles (UAV) in urban air mobility (UAM) networks, which provide intelligent services for diversified smart city scenarios. Meanwhile, the widely deployed Internet of drones (IoD) in smart cities has also brought up new concerns regarding performance, security, and privacy. The centralized framework adopted by conventional UAM networks is not adequate to handle high mobility and dynamicity. Moreover, it is necessary to ensure device authentication, data integrity, and privacy preservation in UAM networks. Thanks to its characteristics of decentralization, traceability, and unalterability, blockchain is recognized as a promising technology to enhance security and privacy for UAM networks. In this paper, we introduce LightMAN, a lightweight microchained fabric for data assurance and resilience-oriented UAM networks. LightMAN is tailored for small-scale permissioned UAV networks, in which a microchain acts as a lightweight distributed ledger for security guarantees. Thus, participants are enabled to authenticate drones and verify the genuineness of data that are sent to/from drones without relying on a third-party agency. In addition, a hybrid on-chain and off-chain storage strategy is adopted that not only improves performance (e.g., latency and throughput) but also ensures privacy preservation for sensitive information in UAM networks. A proof-of-concept prototype is implemented and tested on a micro-air-vehicle link (MAVLink) simulator. The experimental evaluation validates the feasibility and effectiveness of the proposed LightMAN solution.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】unmanned aerial vehicle (UAV); lightweight blockchain; drone security; assurance; authentication; resilience

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 理论模型

【DOI】 10.3390/drones6120421

【Author】 Whaiduzzaman, Md Barros, Alistair Chanda, Moumita Barman, Supti Sultana, Tania Rahman, Md. Sazzadur Roy, Shanto Fidge, Colin

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-实体经济-智慧城市领域

【Abstract】Smart cities can be complemented by fusing various components and incorporating recent emerging technologies. IoT communications are crucial to smart city operations, which are designed to support the concept of a "Smart City" by utilising the most cutting-edge communication technologies to enhance city administration and resident services. Smart cities have been outfitted with numerous IoT-based gadgets; the Internet of Things is a modular method to integrate various sensors with all ICT technologies. This paper provides an overview of smart cities' concepts, characteristics, and applications. We thoroughly investigate smart city applications, challenges, and possibilities with solutions in recent technological trends and perspectives, such as machine learning and blockchain. We discuss cloud and fog IoT ecosystems in the in capacity of IoT devices, architectures, and machine learning approaches. In addition we integrate security and privacy aspects, including blockchain applications, towards more trustworthy and resilient smart cities. We also highlight the concepts, characteristics, and applications of smart cities and provide a conceptual model of the smart city mega-events framework. Finally, we outline the impact of recent emerging technologies' implications on challenges, applications, and solutions for futuristic smart cities. [Whaiduzzaman, Md; Barros, Alistair] Queensland Univ Technol, Sch Informat Syst, Brisbane, Qld 4000, Australia; [Whaiduzzaman, Md; Chanda, Moumita; Barman, Supti; Sultana, Tania; Rahman, Md. Sazzadur] Jahangirnagar Univ, Inst Informat Technol, Dhaka 1342, Bangladesh; [Roy, Shanto] Univ Houston, Dept Comp Sci, Houston, TX 77204 USA; [Fidge, Colin] Queensland Univ Technol, Sch Comp Sci, Brisbane, Qld 4000, Australia Queensland University of Technology (QUT); Jahangirnagar University; University of Houston System; University of Houston; Queensland University of Technology (QUT) Whaiduzzaman, M (通讯作者)，Queensland Univ Technol, Sch Informat Syst, Brisbane, Qld 4000, Australia.; Whaiduzzaman, M (通讯作者)，Jahangirnagar Univ, Inst Informat Technol, Dhaka 1342, Bangladesh. wzaman@juniv.edu Whaiduzzaman, Md/0000-0003-2822-0657 Australian Research Council [DP190100314] Australian Research Council(Australian Research Council) This research is partly supported through the Australian Research Council Discovery Project: DP190100314, "Re-Engineering Enterprise Systems for Microservices in the Cloud". Abate F, 2019, MEASUREMENT, V136, P59, DOI 10.1016/j.measurement.2018.12.069; Abinaya B., 2017, 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), P195, DOI 10.1109/ICCCT2.2017.7972267; Adams Marissa B., 2018, 2018 IEEE International Conference on Plasma Science (ICOPS), DOI 10.1109/ICOPS35962.2018.9575737; Ahmed Z., 2021, INT J ENG TRENDS APP, V8, P30; Akhter R, 2022, J KING SAUD UNIV-COM, V34, P5602, DOI 10.1016/j.jksuci.2021.05.013; Akkaya K, 2015, IEEE WIREL COMMUNN, P58, DOI 10.1109/WCNCW.2015.7122529; Al-Fuqaha A, 2015, IEEE COMMUN SURV TUT, V17, P2347, DOI 10.1109/COMST.2015.2444095; Al-Sarawi Shadi, 2017, 2017 8th International Conference on Information Technology (ICIT). Proceedings, P685, DOI 10.1109/ICITECH.2017.8079928; Al-Turjman F, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101608; Alavi AH, 2018, MEASUREMENT, V129, P589, DOI 10.1016/j.measurement.2018.07.067; Ali G, 2020, ELECTRONICS-SWITZ, V9, DOI 10.3390/electronics9101696; Amanullah MA, 2020, COMPUT COMMUN, V151, P495, DOI 10.1016/j.comcom.2020.01.016; Anagnostopoulos T, 2017, IEEE T SUST COMPUT, V2, P275, DOI 10.1109/TSUSC.2017.2691049; Arasteh H, 2016, 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC); Araujo V, 2019, J PARALLEL DISTR COM, V132, P250, DOI 10.1016/j.jpdc.2018.12.010; Arshad R, 2017, IEEE ACCESS, V5, P15667, DOI 10.1109/ACCESS.2017.2686092; Asgaonkar A, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN AND CRYPTOCURRENCY (ICBC), P262, DOI 10.1109/BLOC.2019.8751482; Ashton Kevin, 2009, RFID J, V7, P97; Azmoodeh A, 2019, IEEE T SUST COMPUT, V4, P88, DOI 10.1109/TSUSC.2018.2809665; Ben Atitallah S, 2020, COMPUT SCI REV, V38, DOI 10.1016/j.cosrev.2020.100303; Bhattacharya S, 2022, INTERNET TECHNOL LET, V5, DOI 10.1002/itl2.187; Bostami B, 2019, EAI SPRINGER INNOVAT, P47, DOI 10.1007/978-3-319-93557-7_4; Brik B, 2019, PROCEDIA COMPUT SCI, V151, P667, DOI 10.1016/j.procs.2019.04.089; Calabrese M, 2020, INFORMATION, V11, DOI 10.3390/info11040202; Cano J, 2014, COMPUTER, V47, P65, DOI 10.1109/MC.2014.280; Chatterjee S, 2018, GOV INFORM Q, V35, P349, DOI 10.1016/j.giq.2018.05.002; Chouhan Nitesh, 2019, Soft Computing and Signal Processing. Proceedings of ICSCSP 2018. Advances in Intelligent Systems and Computing (AISC 898), P21, DOI 10.1007/978-981-13-3393-4_3; Chungsan Lee, 2016, 2016 IEEE International Conference on Consumer Electronics (ICCE), P263, DOI 10.1109/ICCE.2016.7430607; Datta SK, 2016, 2016 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), P168, DOI 10.1109/EuCNC.2016.7561026; Deshpande A., 2017, OVERV REP BR STAND I; Dheena P.F., 2017, P IEEE INT C CIRCUIT, P368; Barriga JKD, 2016, COMM COM INF SC, V620, P77, DOI 10.1007/978-3-319-42147-6_7; Dourado CMJM, 2019, COMPUT NETW, V152, P25, DOI 10.1016/j.comnet.2019.01.019; Dubey S, 2020, PROCEDIA COMPUT SCI, V167, P1950, DOI 10.1016/j.procs.2020.03.222; Emmanuel M, 2016, J NETW COMPUT APPL, V74, P133, DOI 10.1016/j.jnca.2016.08.012; Faruqui N, 2021, COMPUT BIOL MED, V139, DOI 10.1016/j.compbiomed.2021.104961; George AM, 2018, 2018 INTERNATIONAL CONFERENCE ON CONTROL, POWER, COMMUNICATION AND COMPUTING TECHNOLOGIES (ICCPCCT), P148, DOI 10.1109/ICCPCCT.2018.8574285; Ghayvat H, 2015, SENSORS-BASEL, V15, P10350, DOI 10.3390/s150510350; Ghazal TM, 2021, FUTURE INTERNET, V13, DOI 10.3390/fi13080218; Gondchawar N., 2016, INT J ADV RES COMPUT, V5, P838, DOI DOI 10.17148/IJARCCE.2016.56188; Gowda V.D., 2021, J PHYS C SER, V2089, P012037, DOI [10.1088/1742-6596/2089/1/012037, DOI 10.1088/1742-6596/2089/1/012037]; Hammi B, 2018, IET NETW, V7, P1, DOI 10.1049/iet-net.2017.0163; Hasan HR, 2018, IEEE ACCESS, V6, P65439, DOI 10.1109/ACCESS.2018.2876971; Hashem IAT, 2016, INT J INFORM MANAGE, V36, P748, DOI 10.1016/j.ijinfomgt.2016.05.002; He W, 2014, IEEE T IND INFORM, V10, P1587, DOI 10.1109/TII.2014.2299233; Hefnawy A., 2015, P IFIP INT C PRODUCT, P687; Hossen R, 2021, INFORMATION, V12, DOI 10.3390/info12120517; Hussain F, 2020, IEEE COMMUN SURV TUT, V22, P1686, DOI 10.1109/COMST.2020.2986444; Khan A, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103517; Khanna A, 2016, 2016 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND APPLICATIONS (IOTA), P266, DOI 10.1109/IOTA.2016.7562735; Kimani K, 2019, INT J CRIT INFR PROT, V25, P36, DOI 10.1016/j.ijcip.2019.01.001; Kshetri N, 2018, IT PROF, V20, P11, DOI 10.1109/MITP.2018.021921645; Kubler S., 2016, P 13 INT C MOBILE UB, P104; Laurent V, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10230; Liu Z, 2019, FUTURE GENER COMP SY, V97, P1, DOI 10.1016/j.future.2019.02.068; Maduranga M.W.P., 2020, INT J ENG APPL SCI T, V4, P24, DOI [10.33564/IJEAST.2020.v04i12.004, DOI 10.33564/IJEAST.2020.V04I12.004]; Majeed U, 2021, J NETW COMPUT APPL, V181, DOI 10.1016/j.jnca.2021.103007; Marques P, 2019, AD HOC NETW, V87, P200, DOI 10.1016/j.adhoc.2018.12.009; Mazumder A. K. M. Mashuqur Rahman, 2019, 2019 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA). Proceedings, P1280, DOI 10.1109/ICECA.2019.8822020; Mehmood Y, 2017, IEEE COMMUN MAG, V55, P16, DOI 10.1109/MCOM.2017.1600514; Meidan Y, 2018, IEEE PERVAS COMPUT, V17, P12, DOI 10.1109/MPRV.2018.03367731; Minoli D, 2017, CONSUM COMM NETWORK, P1006, DOI 10.1109/CCNC.2017.7983271; Mohan S, 2019, IEEE ACCESS, V7, P81542, DOI 10.1109/ACCESS.2019.2923707; Montalbo FJP, 2020, 2020 INTERNATIONAL SYMPOSIUM ON EDUCATIONAL TECHNOLOGY (ISET 2020), P3, DOI 10.1109/ISET49818.2020.00011; Mukherjee M, 2018, IEEE COMMUN SURV TUT, V20, P1826, DOI 10.1109/COMST.2018.2814571; Musleh AS, 2019, IEEE ACCESS, V7, P86746, DOI 10.1109/ACCESS.2019.2920682; Oliullah K, 2020, P 11 INT C COMPUTING, DOI 10.1109/ICCCNT49239.2020.9225632; Park E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051388; Patti E., 2016, P IEEE 2 INT FOR RES, P1; Paul C, 2018, PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2018), P43; Rajab H., 2018, P INT S NETWORKS COM, P1; Rao T.A., 2018, INT J COMPUT APPL, V179, P31; Rasori M, 2020, COMPUT COMMUN, V149, P78, DOI 10.1016/j.comcom.2019.10.005; Rathore MM, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA); Rosemann M, 2021, BUS INFORM SYST ENG+, V63, P71, DOI 10.1007/s12599-020-00674-9; Roy S, 2017, IEEE REG 10 HUMANIT, P83; Sadhukhan P, 2017, 2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), P1062; Santos J, 2018, IEEE COMMUN MAG, V56, P177, DOI 10.1109/MCOM.2018.1701322; Santos PM, 2018, IEEE INTERNET THINGS, V5, P523, DOI 10.1109/JIOT.2018.2791522; Shafique M, 2018, DES AUT TEST EUROPE, P827, DOI 10.23919/DATE.2018.8342120; Shedroff N, 2018, COMPUTER, V51, P104, DOI 10.1109/MC.2018.1151007; Shen M, 2019, IEEE INTERNET THINGS, V6, P7702, DOI 10.1109/JIOT.2019.2901840; Sikder AK, 2018, 2018 IEEE 8TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), P639; Simon J, 2018, INTERDISCIP DESCR CO, V16, P397, DOI 10.7906/indecs.16.3.12; Singh R, 2021, SAFETY SCI, V143, DOI 10.1016/j.ssci.2021.105407; Stergiou C, 2018, FUTURE GENER COMP SY, V78, P964, DOI 10.1016/j.future.2016.11.031; Sun HY, 2020, IEEE T NETW SERV MAN, V17, P1040, DOI 10.1109/TNSM.2020.2977843; Sushanth G, 2018, 2018 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET); Syed AS, 2021, SMART CITIES-BASEL, V4, P429, DOI 10.3390/smartcities4020024; Pham TN, 2015, IEEE ACCESS, V3, P1581, DOI 10.1109/ACCESS.2015.2477299; Khoa TA, 2020, WIREL COMMUN MOB COM, V2020, DOI 10.1155/2020/6138637; Vaquero LM, 2014, ACM SIGCOMM COMP COM, V44, P27, DOI 10.1145/2677046.2677052; Waheed N, 2021, ACM COMPUT SURV, V53, DOI 10.1145/3417987; Wang XF, 2020, IEEE COMMUN SURV TUT, V22, P869, DOI 10.1109/COMST.2020.2970550; Whaiduzzaman M, 2021, J HIGH SPEED NETW, V27, P381, DOI 10.3233/JHS-210673; Whaiduzzaman M, 2021, IEEE ACCESS, V9, P106655, DOI 10.1109/ACCESS.2021.3100072; Xie JF, 2019, IEEE COMMUN SURV TUT, V21, P2794, DOI 10.1109/COMST.2019.2899617; Yu W, 2018, IEEE ACCESS, V6, P6900, DOI 10.1109/ACCESS.2017.2778504; Zaldivar D, 2020, 2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), P488, DOI 10.1109/CCWC47524.2020.9031212; Zantalis F, 2019, FUTURE INTERNET, V11, DOI 10.3390/fi11040094; Zetzsche DA, 2018, U ILLINOIS LAW REV, P1361; Zhao L, 2019, IEEE NETWORK, V33, P30, DOI 10.1109/MNET.2019.1800221 102 0 0 0 0 MDPI BASEL ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND 1424-8220 SENSORS-BASEL Sensors DEC 2022 22 23 9271 10.3390/s22239271 http://dx.doi.org/10.3390/s22239271 28 Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation Science Citation Index Expanded (SCI-EXPANDED) Chemistry; Engineering; Instruments & Instrumentation 6Y8XP 36501973 gold, Green Published 2023-01-05 WOS:000897371500001

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things (IoT); smart city; smart waste management; smart traffic light; smart parking; smart home; smart buildings

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 综述

【DOI】 10.3390/s22239271

【Author】 Milicevic, Kruno Tolic, Ivan Vinko, Davor Horvat, Goran

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-实体经济-数字化转型

【Abstract】Digital transformation of metrology is a holistic process that was started formally by the Joint Statement of Intent "On the digital transformation in the international scientific and quality infrastructure" signed by major metrology organisations in March 2022. With the digital transformation of metrology in motion, the questions of a seamless transition to digital representation while ensuring adherence to all the requirements of digital representation and maintaining a sustainable framework for future operations are just some of the challenges faced. To tackle these challenges, also within the concept of "more electrical world" (MEW), one technology is demonstrating high potential applicability as a possible candidate solution-blockchain technology, with its critical underlying properties (e.g., immutability, decentralisation, etc.) being fully compliant with the requirements of digital representation in metrology. Accordingly, this paper presents a blockchain-based concept for the digital transformation of the traceability pyramid for electrical energy measurement. The concept is developed in accordance with the goals of the Metroracle project. Based on the analyzed and presented state-of-the-art, the main contribution of the paper is the comprehensiveness of the concept, which encompasses the whole pyramid and describes all relevant processes and responsibilities of all stakeholders: measurement instrument (MI) owners, certificate issuers (National Accreditation Body (NAB), National laboratory (NL), Reference laboratory (RL)), MI manufacturers/developers, MI installers. The transformed pyramid is defined by Croatian metrology laws and regulations, but with smaller adjustments, it is applicable to other EU countries as well, and also to the traceability of other physical quantities, i.e., not to electrical energy only. Possible legal and technical issues are identified (amount of data, machine-readable standards and regulations, ensuring limited access, legal relevance of digital signature) and corresponding solutions presented, as well as further steps in our research and development within the Metroracle project. [Milicevic, Kruno; Vinko, Davor] Random Red Ltd, Osijek 31000, Croatia; [Tolic, Ivan] Croatian Transmiss Syst Operator Ltd, Zagreb 10000, Croatia; [Horvat, Goran] Base58 Ltd, Osijek 31000, Croatia Milicevic, K (通讯作者)，Random Red Ltd, Osijek 31000, Croatia. kruno@randomred.eu European Union's Horizon 2020 research and innovation programme; [957228] European Union's Horizon 2020 research and innovation programme; The Metroracle/Trublo project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 957228. A Joint BIPM-OIML Task Group, JOINT BIPM OIML TASK; [Anonymous], METROLOGY DIGITAL TR; [Anonymous], INT SYST UN SI FAIR; [Anonymous], OIML B, V62; [Anonymous], REGULATION EU NO 910; [Anonymous], 2020, WELMEC SOFTWARE GUID; [Anonymous], 2008, REG EC NO 765 2008 E; [Anonymous], OFFICIAL J EUROPEAN; [Anonymous], WEB DIG TRANSF LEG M; [Anonymous], JOINT STAT INT DIG T; [Anonymous], 2008, DEC NO 768 2008 EC E; Boschung G., 2021, MEAS SENS, V18, DOI [10.1016/j.measen.2021.100282, DOI 10.1016/J.MEASEN.2021.100282]; Brown C, 2020, 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT), P485, DOI 10.1109/MetroInd4.0IoT48571.2020.9138220; Brown RJC, 2022, MEASUREMENT, V187, DOI 10.1016/j.measurement.2021.110309; Buterin V., 2014, NEXT GENERATION SMAR, V3; CIPM Task Group on the Digital SI, CIPM TASK GROUP DIG; Croatian National Metrology Institute, LAW METR; European Union, SSI EIDAS BRIDG; European Union, 2014, DIR 2014 32 EU EUR P; Gupta M, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22145119; Gupta M, 2022, T EMERG TELECOMMUN T, DOI 10.1002/ett.4520; Gur AO, 2019, 2019 7TH INTERNATIONAL ISTANBUL SMART GRIDS AND CITIES CONGRESS AND FAIR (ICSG ISTANBUL 2019), P204, DOI 10.1109/SGCF.2019.8782375; Haider M.U., 2022, ENG PROC, V20, P23; Hussain SMS, 2019, 2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT); Joint Committee for Guides in Metrology (JCGM), EVALUATION MEASUREME; Joint Committee for Guides in Metrology (JCGM), INT VOC METR; Li G, 2022, TRANSPORT RES E-LOG, V163, DOI 10.1016/j.tre.2022.102773; Liu Y., 2022, COMPUT SCI REV, V46, DOI [10.1016/j.cosrev.2022.100513, DOI 10.1016/J.COSREV.2022.100513]; Melo WS, 2021, J NETW COMPUT APPL, V175, DOI 10.1016/j.jnca.2020.102914; Melo W.S., 2021, OIML B, V62, P10; Melo W, 2020, 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT), P429, DOI 10.1109/MetroInd4.0IoT48571.2020.9138246; Melo W, 2018, IEEE IMTC P, P1586, DOI 10.1109/I2MTC.2018.8409724; Melo WS, 2019, IEEE T INSTRUM MEAS, V68, P1503, DOI 10.1109/TIM.2019.2898013; Milicevic K, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22134708; Moni M, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21051564; NGI Trublo, NGI TRUBLO METRORACL; Nunes LJR, 2018, FUEL CELLS HYDROGEN, P1, DOI [10.1016/b978-0-12-809462-4.00001-8, 10.1016/B978-0-08-100700-6.00001-, DOI 10.1016/B978-0-08-100700-6.00001]; Prince MKK, 2021, J MOD POWER SYST CLE, V9, P1054, DOI 10.35833/MPCE.2020.000601; PTB, METR DIG TRANSF; PTB, DOC SPEC RUL SEC US; Szabo N., SMART CONTRACTS; Thiel F., 2018, OIML B Q J, V59, P10; Thiel F., 2017, P INT C METROLOGY, P09001; Xiong X., 2021, MEAS SENS, V18, P100122, DOI [10.1016/j.measen.2021.100122, DOI 10.1016/J.MEASEN.2021.100122]; Yapa C, 2021, ENERGY REP, V7, P6530, DOI 10.1016/j.egyr.2021.09.112; Zeng YC, 2021, PROCESSES, V9, DOI 10.3390/pr9081474 46 0 0 0 0 MDPI BASEL ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND 1424-8220 SENSORS-BASEL Sensors DEC 2022 22 23 9292 10.3390/s22239292 http://dx.doi.org/10.3390/s22239292 17 Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation Science Citation Index Expanded (SCI-EXPANDED) Chemistry; Engineering; Instruments & Instrumentation 6Y8QS 36501992 Green Published, gold 2023-01-05 WOS:000897353500001

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】digital transformation of metrology; blockchain; electrical energy meter; traceability pyramid; European Metrology Cloud; Metroracle project

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 观点阐述

【DOI】 10.3390/s22239292

【Author】 Rathnayake, Ishara Wedawatta, Gayan Tezel, Algan

【Source】BUILDINGS

【影响因子】3.324

【主题类别】

区块链应用-实体经济-建筑领域

【Abstract】On-time delivery of documentation and contracts has been recognized as a crucial requirement for the successful delivery of projects. However, the construction industry still depends on time-consuming traditional contract processes, which negatively affect the overall productivity of projects in the industry. The use of Smart Contracts (SCs) is highlighted as a suitable novel technology to expedite the contract processes and establish a reliable payment environment in the construction industry. Whilst there has been an increase in the debate about the use of SCs in construction in recent years, their use in practice still seems to be in its infancy. As such, the topic will benefit from a thorough review of benefits, drivers, barriers and strategies that can enhance the implementation of SCs in construction. This article presents the key findings from a Systematic Literature Review (SLR) on SCs in the construction industry, critically assessing existing studies on the topic. The study initially involved 171 research papers for the SLR process, and out of that 49 research papers were filtered for further analysis after reading their abstracts. A total of 30 papers were finally filtered after the full-text reading for the SLR. Descriptive and content analysis were used to analyse the full-text findings. The study graphically mapped the bibliographic materials by using the Visualization of Similarities (VoS) Viewer software. As per the findings, the topic has mostly been researched in Asia and the Pacific as a region and China as a country. It was noted that there were more empirical articles than theoretical studies related to SCs, evidencing the industry relevance of the issue. A total of 55% of the articles reviewed have been published in journals with a Q1 ranking. All the articles were written by multiple authors, with 30% of the journal articles having international co-authors and benefitting from the collaboration between authors. Key advantages identified in the literature go beyond contract and payment provisions and include aspects such as logistic handling, decentralized applications, business process management, automated payments, etc. Key drivers for adoption are supply chain pressure, competitive pressure, top management support, simple layout, reduction in risks of clients, clarity in responsibility and risk allocation, whereas the key barriers include insecurity, limited observability, incompatibility, inactive government collaboration and limited storage capacity. Key strategies to enhance the application of SC in construction include integrating theorems proving symbolic execution, using the selective transparency method and lock fund system, testing the integration of SCs with other systems at the initial stage, incorporating semi-automated consensus mechanisms for payments, constructing a mechanism to actively engage with government bodies, etc.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】smart contracts; construction industry; systematic literature review; bibliographic; automation

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 综述

【DOI】 10.3390/buildings12122082

【Author】 Monfort, Meritxell Domenech De Jesus, Cesar Wanapinit, Natapon Hartmann, Niklas

【Source】ENERGIES

【影响因子】3.252

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Nowadays decarbonisation of the energy system is one of the main concerns for most governments. Renewable energy technologies, such as rooftop photovoltaic systems and home battery storage systems, are changing the energy system to be more decentralised. As a consequence, new ways of energy business models are emerging, e.g., peer-to-peer energy trading. This new concept provides an online marketplace where direct energy exchange can occur between its participants. The purpose of this study is to conduct a content analysis of the existing literature, ongoing research projects, and companies related to peer-to-peer energy trading. From this review, a summary of the most important aspects and journal papers is assessed, discussed, and classified. It was found that the different energy market types were named in various ways and a proposal for standard language for the several peer-to-peer market types and the different actors involved is suggested. Additionally, by grouping the most important attributes from peer-to-peer energy trading projects, an assessment of the entry barrier and scalability potential is performed by using a characterisation matrix.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】peer-to-peer energy trading; standard language; entry barrier; scalability potential; local electricity markets; characterisation matrix

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 综述

【DOI】 10.3390/en15239070

【Author】 Nie, Zixiang Zhang, Maosheng Lu, Yueming

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】The research topics of this paper are the data security of the edge devices and terminals of the Internet of Things (IoT) and the consensus design of a lightweight blockchain for the Internet of Things. These devices have self-organization capabilities to overcome the bandwidth delay and service-congestion problems caused by excessive concentration in existing scenarios, but they face the challenges of limited computing, storage, and communication resources. As a result, a non- financial lightweight blockchain consensus design with low energy consumption, low latency, and greater stability should be investigated. We propose a hierarchical proof-of-capability (HPoC) consensus mechanism combined with the asynchronous proof-of-work (PoW) mechanism for improving the computing capacity, storage capacity, and communication capacity of IoT edge devices that can generate blocks with low latency, low power consumption, and strong stability in resource-constrained edge device nodes, while ensuring that the security of the edge devices is enhanced asynchronously. We simulated a smart-home scenario, with the number of device nodes ranging from 15 to 75, and conducted comparative experiments between HPoC and PoW based on different difficulty bits. The experimental results showed that HPoC is a consensus mechanism with scalability and stability that can flexibly adjust time consumption and accurately select nodes with strong capabilities to generate blocks in heterogeneous devices.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain consensus; lightweight blockchain; Internet of Things; proof of capability; asynchronous PoW

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 理论模型

【DOI】 10.3390/app122412866

【Author】 Xiao, Yao Xu, Lei Chen, Zikang Zhang, Can Zhu, Liehuang

【Source】MATHEMATICS

【影响因子】2.592

【主题类别】

区块链技术-协同技术-隐私计算

【Abstract】Cloud platforms provide a low-cost and convenient way for users to share data. One important issue of cloud-based data sharing systems is how to prevent the sensitive information contained in users' data from being disclosed. Existing studies often utilize cryptographic primitives, such as attribute-based encryption and proxy re-encryption, to protect data privacy. These approaches generally rely on a centralized server which may cause a single point of failure problem. Blockchain is known for its ability to solve such a problem. Some blockchain-based approaches have been proposed to realize privacy-preserving data sharing. However, these approaches did not fully explore the auditability provided by the blockchain. The dishonest cloud server can share data with a requester without notifying the data owner or being logged by the blockchain. In this paper, we propose a blockchain-based privacy-preserving data sharing system with enhanced auditability. The proposed system follows the idea of hybrid encryption to protect data privacy. The data to be shared are encrypted with a symmetric key, and the symmetric key is encrypted with a joint public key which is the sum of multiple blockchain nodes' public keys. Only if a data requester is authorized, the blockchain nodes will be triggered to execute a verifiable key switch protocol. By using the output of the protocol, the data requester can get the plaintext of the symmetric key. The blockchain nodes participate in both the authorization process and the key switch process, which means the behavior of the data requester is witnessed by multi-parties and is auditable. We implement the proposed system on Hyperledger Fabric. The simulation results show that the performance overhead is acceptable.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】auditability; data sharing; blockchain; privacy-preserving

【发表时间】2022

【收录时间】2023-01-14

【文献类型】 理论模型

【DOI】 10.3390/math10234494