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| 1 | Blockchain for Transparent Data Management Toward 6G显示文摘The wealth of user data acts as a fuel for network intelligence toward the sixth generation wireless networks(6G).Due to data heterogeneity and dynamics,decentralized data management(DM)is desirable for achieving transparent data operations across network domains,and blockchain can be a promising solution.However,the increasing data volume and stringent data privacy-preservation requirements in 6G bring significantly technical challenge to balance transparency,efficiency,and privacy requirements in decentralized blockchain-based DM.In this paper,we investigate blockchain solutions to address the challenge.First,we explore the consensus protocols and scalability mechanisms in blockchains and discuss the roles of DM stakeholders in blockchain architectures.Second,we investigate the authentication and authorization requirements for DM stakeholders.Third,we categorize DM privacy requirements and study blockchain-based mechanisms for collaborative data processing.Subsequently,we present research issues and potential solutions for blockchain-based DM toward 6G from these three perspectives.Finally,we conclude this paper and discuss future research directions. | Xuemin(Sherman)Shen Dongxiao Liu Cheng Huang Liang Xue Han Yin Weihua Zhuang Rob Sun Bidi Ying | 2022 | Engineering2022，8，1： | 2 |
| 2 | Antidiabetic plants improving insulin sensitivity显示文摘 | Mohamed Eddouks Amina Bidi Bachir El Bouhali Lhoussain Hajji Naoufel Ali Zeggwagh | 2014 | J Pharm Pharmacol2014，，9： | 1 |
| 3 | RBLCP: Improved QoS Aware Routing Algorithm for Overlay Networks显示文摘 | VING Bidi CHEN Huifang ZHU Sunbin | 2007 | Journal Of Zhejiang University2007，41，4： | 1 |
| 4 | In vitro assays for bioactivity-guided isolation of antisalmonella and antioxidant compounds in Thonningia sanguinea flowers 显示文摘 | N'Guessan J D Bidie A P Lenta B N | 2007 | Afr J Biotechnol2007，6，15： | 1 |
| 5 | Factors influencing function of temporal dialysis catheters 显示文摘 | A bidi SM khan A Fried LF et aI | 2000 | Clin Nephrol2000，53，3： | 1 |
| 6 | Numerical analysis of methane-air combustion considering radiation effect 显示文摘 | Bidi M Hosseini R | 2008 | Energy Conversion and Management2008，49，： | 1 |
| 7 | rhBMP- 2 delivered in a calcium phosphate cement accelerates bridging of critical - sized defects in rabbit radii显示文摘 | Seeherman HJ Azari K Bidie S | 2006 | J Bone Joint Surg Am2006，7，： | 1 |
| 8 | Numerical analysis of methane-air combustion considering radiation effect显示文摘 | Bidi M Hosseini R | 2008 | Energy Conversion and Management2008，49，： | 1 |
| 9 | Exergetic sustainability evaluation and optimization of an irreversible Brayton cycle performance显示文摘Owing to the energy demands and global warming issue, employing more effective power cycles has become a responsibility. This paper presents a thermo-dynamical study of an irreversible Brayton cycle with the aim of optimizing the performance of the Brayton cycle. Moreover, four different schemes in the process of multi-objective optimization were suggested, and the outcomes of each scheme are assessed separately. The power output, the concepts of entropy generation, the energy, the exergy output, and the exergy efficiencies for the irreversible Brayton cycle are considered in the analysis. In the first scheme, in order to maximize the exergy output, the ecological function and the ecological coefficient of performance, a multi-objective optimization algorithm (MOEA) is used. In the second scheme, three objective functions including the exergetic performance criteria, the ecological coefficient of performance, and the ecological function are maximized at the same time by employing MOEA. In the third scenario, in order to maximize the exergy output, the exergetic performance criteria and the ecological coefficient of performance, a MOEA is performed. In the last scheme, three objective functions containing the exergetic performance criteria, the ecologi-cal coefficient of performance, and the exergy-based ecological function are maximized at the same time by employing multi-objective optimization algorithms. All the strategies are implemented via multi-objective evolu-tionary algorithms based on the NSGAII method. Finally, to govern the final outcome in each scheme, three well- known decision makers were employed. | Mohammad H. AHMADI Mohammad-Ali AHMADI Esmaeil ABOUKAZEMPOUR Lavinia GROSU Fathollah POURFAYAZ Mokhtar BIDI | 2019 | Frontiers in Energy2019，13，2： | 0 |
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