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SBFT:A BFT Consensus Mechanism Based on DQN Algorithm for Industrial Internet of Thing
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作者 ningjie gao Ru Huo +3 位作者 Shuo Wang Jiang Liu Tao Huang Yunjie Liu 《China Communications》 SCIE CSCD 2023年第10期185-199,共15页
With the development and widespread use of blockchain in recent years,many projects have introduced blockchain technology to solve the growing security issues of the Industrial Internet of Things(IIoT).However,due to ... With the development and widespread use of blockchain in recent years,many projects have introduced blockchain technology to solve the growing security issues of the Industrial Internet of Things(IIoT).However,due to the conflict between the operational performance and security of the blockchain system and the compatibility issues with a large number of IIoT devices running together,the mainstream blockchain system cannot be applied to IIoT scenarios.In order to solve these problems,this paper proposes SBFT(Speculative Byzantine Consensus Protocol),a flexible and scalable blockchain consensus mechanism for the Industrial Internet of Things.SBFT has a consensus process based on speculation,improving the throughput and consensus speed of blockchain systems and reducing communication overhead.In order to improve the compatibility and scalability of the blockchain system,we select some nodes to participate in the consensus,and these nodes have better performance in the network.Since multiple properties determine node performance,we abstract the node selection problem as a joint optimization problem and use Dueling Deep Q Learning(DQL)to solve it.Finally,we evaluate the performance of the scheme through simulation,and the simulation results prove the superiority of our scheme. 展开更多
关键词 Industrial Internet of Things Byzantine fault tolerance speculative consensus mechanism Markov decision process deep reinforcement learning
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The biomimetic design provides efficient self-healing of ultrahightough and damage-warning bio-based elastomer for protective clothing of metals
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作者 Hao Wu Zilong Zhu +3 位作者 ningjie gao Lin Ma Jiwen Li Fuchun Liu 《Nano Research》 SCIE EI CSCD 2023年第7期10587-10596,共10页
Facing the ubiquitous corrosion threat,the great significance of developing high-performance protective materials with the dual function of self-healing defects and self-warning damage is extremely challenging.Herein,... Facing the ubiquitous corrosion threat,the great significance of developing high-performance protective materials with the dual function of self-healing defects and self-warning damage is extremely challenging.Herein,inspired by the biological skin and pearls,we proposed that the biological polyurethanes(PU)embedded with multiple dynamic bonds(reversible hydrogen bonds and aromatic disulfide bonds)were combined with polydopamine(PDA)/1,10-phenanthroline(Phen)/graphene oxide(GO)(PPG)nanosheets(PDA encapsulated GO with Phen)to obtain a versatile nacre structure polymer with the interface hydrogen bond between PPG and PU matrix.The biomimetic polymer not only guarantees ultrahigh toughness(116.1 MJ·m^(-3))and abnormal elongation(2320%)but shows satisfactory repair performance(81%under 25℃ for 3 h),and the coating can accelerate damage recovery(87%)under near-infrared light(NIR)irradiation for 1 h due to the photothermal properties of PPG.The warning of damages in the coating can be enabled through the Phen chelation Fe^(2+)ions that bring in the corrosion reaction to produce a conspicuous red color,thereby achieving the active warning function of the bionic coating on defects for the first time.In addition,the electrochemical tests exhibit that the repair performance and protection effect of the biomimetic coating in 3.5 wt.%NaCl solution are also trustworthy,and this highly reliable bio-based bionic coating brings a revolutionary program to inaugurate multifunctional and high-performance intelligent materials under harsh environments. 展开更多
关键词 multiple dynamic bonds biomimetic polymer ultrahigh performance SELF-REPAIRING self-warning
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气相刻蚀法构建多级多孔金属-有机框架材料 被引量:3
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作者 翟旭 曹天龙 +5 位作者 卢星宇 高宁杰 李琳琳 刘福春 付昱 齐伟 《Science China Materials》 SCIE EI CAS CSCD 2022年第11期3062-3068,共7页
开发一种通用的蚀刻策略来构建具有期望的微孔和中孔的多级多孔金属-有机框架材料(HP-MOFs)仍然是探索MOF材料增强性能和潜在应用的一个显著性的科学挑战.本文提出了一种通用的蒸气气氛蚀刻方法来实现HP-MOFs的可控制备.基于蒸气浓度明... 开发一种通用的蚀刻策略来构建具有期望的微孔和中孔的多级多孔金属-有机框架材料(HP-MOFs)仍然是探索MOF材料增强性能和潜在应用的一个显著性的科学挑战.本文提出了一种通用的蒸气气氛蚀刻方法来实现HP-MOFs的可控制备.基于蒸气浓度明显低于溶液浓度的原理,该方法显著降低了对MOFs的刻蚀速率和强度,能够在刻蚀过程中获得中间产物.通过该方法制备了一系列具有不同金属节点的HP-MOFs.合成的HP-MOFs结合了介孔促进传质过程和微孔提供大内表面积的优点.研究表明HP-UiO-66在神经毒剂磷酸二甲酯DMNP降解中表现出比原始UiO-66更优异的催化活性. 展开更多
关键词 metal-organic frameworks vapor etching nerve agent degradation HP-MOFs
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