The latest 6G improvements secured autonomous driving's realism in Intelligent Autonomous Transport Systems(IATS).Despite the IATS's benefits,security remains a significant challenge.Blockchain technology has ...The latest 6G improvements secured autonomous driving's realism in Intelligent Autonomous Transport Systems(IATS).Despite the IATS's benefits,security remains a significant challenge.Blockchain technology has grown in popularity as a means of implementing safe,dependable,and decentralised independent IATS systems,allowing for more utilisation of legacy IATS infrastructures and resources,which is especially advantageous for crowdsourcing technologies.Blockchain technology can be used to address security concerns in the IATS and to aid in logistics development.In light of the inadequacy of reliance and inattention to rights created by centralised and conventional logistics systems,this paper discusses the creation of a blockchain-based IATS powered by deep learning for secure cargo and vehicle matching(BDL-IATS).The BDL-IATS approach utilises Ethereum as the primary blockchain for storing private data such as order and shipment details.Additionally,the deep belief network(DBN)model is used to select suitable vehicles and goods for transportation.Additionally,the chaotic krill herd technique is used to tune the DBN model’s hyper-parameters.The performance of the BDL-IATS technique is validated,and the findings are inspected under a variety of conditions.The simulationfindings indicated that the BDL-IATS strategy outperformed recent state-of-the-art approaches.展开更多
Building construction has developed from the use of primitive tools to that of machinery,with a tendency toward automation.Automation of processes and robotics can improve efficiency,accuracy and safety in constructio...Building construction has developed from the use of primitive tools to that of machinery,with a tendency toward automation.Automation of processes and robotics can improve efficiency,accuracy and safety in construction.On the other hand,structural prefabrication for construction is increasingly being adopted worldwide to enhance productivity and to alleviate the environmental impact of conventional construction processes.The combination and application of automation and prefabrication technologies may therefore introduce new developments to the construction industry.This paper provides a comprehensive review of the use of automation technology for structural prefabrication and construction,including recent developments,challenges and future trends.Five stages following the sequence of construction are proposed:design,construction management,robotic manufacturing,autonomous transportation and automatic structural assembly.The paper concludes that the widespread use of automation technology is preferable to structural prefabrication for construction,and that the design for robotic construction introduced through connection innovations may be beneficial as a means of avoiding complex operations and thus improving the efficiency of robotic assembly processes.展开更多
文摘The latest 6G improvements secured autonomous driving's realism in Intelligent Autonomous Transport Systems(IATS).Despite the IATS's benefits,security remains a significant challenge.Blockchain technology has grown in popularity as a means of implementing safe,dependable,and decentralised independent IATS systems,allowing for more utilisation of legacy IATS infrastructures and resources,which is especially advantageous for crowdsourcing technologies.Blockchain technology can be used to address security concerns in the IATS and to aid in logistics development.In light of the inadequacy of reliance and inattention to rights created by centralised and conventional logistics systems,this paper discusses the creation of a blockchain-based IATS powered by deep learning for secure cargo and vehicle matching(BDL-IATS).The BDL-IATS approach utilises Ethereum as the primary blockchain for storing private data such as order and shipment details.Additionally,the deep belief network(DBN)model is used to select suitable vehicles and goods for transportation.Additionally,the chaotic krill herd technique is used to tune the DBN model’s hyper-parameters.The performance of the BDL-IATS technique is validated,and the findings are inspected under a variety of conditions.The simulationfindings indicated that the BDL-IATS strategy outperformed recent state-of-the-art approaches.
基金support from the Australian Research Council through the Discovery project(DP180102208).
文摘Building construction has developed from the use of primitive tools to that of machinery,with a tendency toward automation.Automation of processes and robotics can improve efficiency,accuracy and safety in construction.On the other hand,structural prefabrication for construction is increasingly being adopted worldwide to enhance productivity and to alleviate the environmental impact of conventional construction processes.The combination and application of automation and prefabrication technologies may therefore introduce new developments to the construction industry.This paper provides a comprehensive review of the use of automation technology for structural prefabrication and construction,including recent developments,challenges and future trends.Five stages following the sequence of construction are proposed:design,construction management,robotic manufacturing,autonomous transportation and automatic structural assembly.The paper concludes that the widespread use of automation technology is preferable to structural prefabrication for construction,and that the design for robotic construction introduced through connection innovations may be beneficial as a means of avoiding complex operations and thus improving the efficiency of robotic assembly processes.
