Machine learning(ML)has been increasingly adopted to solve engineering problems with performance gauged by accuracy,efficiency,and security.Notably,blockchain technology(BT)has been added to ML when security is a part...Machine learning(ML)has been increasingly adopted to solve engineering problems with performance gauged by accuracy,efficiency,and security.Notably,blockchain technology(BT)has been added to ML when security is a particular concern.Nevertheless,there is a research gap that prevailing solutions focus primarily on data security using blockchain but ignore computational security,making the traditional ML process vulnerable to off-chain risks.Therefore,the research objective is to develop a novel ML on blockchain(MLOB)framework to ensure both the data and computational process security.The central tenet is to place them both on the blockchain,execute them as blockchain smart contracts,and protect the execution records on-chain.The framework is established by developing a prototype and further calibrated using a case study of industrial inspection.It is shown that the MLOB framework,compared with existing ML and BT isolated solutions,is superior in terms of security(successfully defending against corruption on six designed attack scenario),maintaining accuracy(0.01%difference with baseline),albeit with a slightly compromised efficiency(0.231 second latency increased).The key finding is MLOB can significantly enhances the computational security of engineering computing without increasing computing power demands.This finding can alleviate concerns regarding the computational resource requirements of ML-BT integration.With proper adaption,the MLOB framework can inform various novel solutions to achieve computational security in broader engineering challenges.展开更多
he bunker industry has faced negative perception to their trust and credibility in recent times.This is further compounded by the need for the industry to answer new challenges to meet the requirement of the Internati...he bunker industry has faced negative perception to their trust and credibility in recent times.This is further compounded by the need for the industry to answer new challenges to meet the requirement of the International Maritime Organization 2020.The aim of this work is to illustrate how blockchain technology may be adopted for aiding in bunker dispute resolution.To demonstrate how blockchain may aid in disputes within the bunker industry,this paper first examines the existing bunker supply process,which involves the formation of contracts under English law,the Bunker Delivery Notes,the different types of disputes that may arise during a bunker transaction and the methods of dispute resolution utilised by the industry.Furthermore,the current literature in relation to blockchain technology and blockchain smart contracts is examined.Finally,interviews and surveys within the industry have been conducted to identify the benefits and challenges in adopting blockchain technology.The research found that blockchains may benefit the bunker supply chain offering the effective resolution of bunker quality disputes.Furthermore,blockchains may also serve as a verification tool for electronic bunker delivery notes,which may aid quality and quantity bunker disputes as well as compliance with the new International Maritime Organisation 2020 requirements.As a result,despite the research having shown blockchain to be situationally dependent and having an element of legal uncertainty,blockchain does offer a solution to aid in bunker disputes and for improving the trust and credibility within the bunker industry.展开更多
This paper investigates a double auction-based peer-to-peer(P2P)energy trading market for a community of renewable prosumers with private information on reservation price and quantity of energy to be traded.A novel co...This paper investigates a double auction-based peer-to-peer(P2P)energy trading market for a community of renewable prosumers with private information on reservation price and quantity of energy to be traded.A novel competition padding auction(CPA)mechanism for P2P energy trading is proposed to address the budget deficit problem while holding the advantages of the widely-used Vickrey-Clarke-Groves mechanism.To illustrate the theoretical properties of the CPA mechanism,the sufficient conditions are identified for a truth-telling equilibrium with a budget surplus to exist,while further proving its asymptotical economic efficiency.In addition,the CPA mechanism is implemented through consortium blockchain smart contracts to create safer,faster,and larger P2P energy trading markets.The proposed mechanism is embedded into blockchain consensus protocols for high consensus efficiency,and the budget surplus of the CPA mechanism motivates the prosumers to manage the blockchain.Case studies are carried out to show the effectiveness of the proposed method.展开更多
文摘Machine learning(ML)has been increasingly adopted to solve engineering problems with performance gauged by accuracy,efficiency,and security.Notably,blockchain technology(BT)has been added to ML when security is a particular concern.Nevertheless,there is a research gap that prevailing solutions focus primarily on data security using blockchain but ignore computational security,making the traditional ML process vulnerable to off-chain risks.Therefore,the research objective is to develop a novel ML on blockchain(MLOB)framework to ensure both the data and computational process security.The central tenet is to place them both on the blockchain,execute them as blockchain smart contracts,and protect the execution records on-chain.The framework is established by developing a prototype and further calibrated using a case study of industrial inspection.It is shown that the MLOB framework,compared with existing ML and BT isolated solutions,is superior in terms of security(successfully defending against corruption on six designed attack scenario),maintaining accuracy(0.01%difference with baseline),albeit with a slightly compromised efficiency(0.231 second latency increased).The key finding is MLOB can significantly enhances the computational security of engineering computing without increasing computing power demands.This finding can alleviate concerns regarding the computational resource requirements of ML-BT integration.With proper adaption,the MLOB framework can inform various novel solutions to achieve computational security in broader engineering challenges.
文摘he bunker industry has faced negative perception to their trust and credibility in recent times.This is further compounded by the need for the industry to answer new challenges to meet the requirement of the International Maritime Organization 2020.The aim of this work is to illustrate how blockchain technology may be adopted for aiding in bunker dispute resolution.To demonstrate how blockchain may aid in disputes within the bunker industry,this paper first examines the existing bunker supply process,which involves the formation of contracts under English law,the Bunker Delivery Notes,the different types of disputes that may arise during a bunker transaction and the methods of dispute resolution utilised by the industry.Furthermore,the current literature in relation to blockchain technology and blockchain smart contracts is examined.Finally,interviews and surveys within the industry have been conducted to identify the benefits and challenges in adopting blockchain technology.The research found that blockchains may benefit the bunker supply chain offering the effective resolution of bunker quality disputes.Furthermore,blockchains may also serve as a verification tool for electronic bunker delivery notes,which may aid quality and quantity bunker disputes as well as compliance with the new International Maritime Organisation 2020 requirements.As a result,despite the research having shown blockchain to be situationally dependent and having an element of legal uncertainty,blockchain does offer a solution to aid in bunker disputes and for improving the trust and credibility within the bunker industry.
基金supported by the National Natural Science Foundation of China(No.52207108),and by the Science and Technology Project of State Grid Corporation of China(No.1400202099523 A0000).
文摘This paper investigates a double auction-based peer-to-peer(P2P)energy trading market for a community of renewable prosumers with private information on reservation price and quantity of energy to be traded.A novel competition padding auction(CPA)mechanism for P2P energy trading is proposed to address the budget deficit problem while holding the advantages of the widely-used Vickrey-Clarke-Groves mechanism.To illustrate the theoretical properties of the CPA mechanism,the sufficient conditions are identified for a truth-telling equilibrium with a budget surplus to exist,while further proving its asymptotical economic efficiency.In addition,the CPA mechanism is implemented through consortium blockchain smart contracts to create safer,faster,and larger P2P energy trading markets.The proposed mechanism is embedded into blockchain consensus protocols for high consensus efficiency,and the budget surplus of the CPA mechanism motivates the prosumers to manage the blockchain.Case studies are carried out to show the effectiveness of the proposed method.
