Numerical simulation is employed to investigate the initial state of avalanche in polydisperse particle *** and propagation processes are illustrated for pentadisperse and triadisperse particle systems,*** these proce...
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Numerical simulation is employed to investigate the initial state of avalanche in polydisperse particle *** and propagation processes are illustrated for pentadisperse and triadisperse particle systems,*** these processes,particles involved in the avalanche grow slowly in the early stage and explosively in the later stage,which is clearly different from the continuous and steady growth trend in the monodisperse *** examining the avalanche propagation,the number growth of particles involved in the avalanche and the slope of the number growth,the initial state can be divided into three stages:T1(nucleation stage),T2(propagation stage),T3(overall avalanche stage).We focus on the characteristics of the avalanche in the T2 stage,and find that propagation distances increase almost linearly in both axial and radial directions in polydisperse *** also consider the distribution characteristics of the average coordination number and average velocity for the moving *** results support that the polydisperse particle systems are more stable in the T2 stage.
Federated learning (FL) is widely used in various fields because it can guarantee the privacy of the original data source. However, in data-sensitive fields such as Internet of Vehicles (IoV), insecure communication c...
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Federated learning (FL) is widely used in various fields because it can guarantee the privacy of the original data source. However, in data-sensitive fields such as Internet of Vehicles (IoV), insecure communication channels, semi-trusted RoadSide Unit (RSU), and collusion between vehicles and the RSU may lead to leakage of model parameters. Moreover, when aggregating data, since different vehicles usually have different computing resources, vehicles with relatively insufficient computing resources will affect the data aggregation efficiency. Therefore, in order to solve the privacy leakage problem and improve the data aggregation efficiency, this paper proposes a privacy-preserving data aggregation protocol for IoV with FL. Firstly, the protocol is designed based on methods such as shamir secret sharing scheme, pallier homomorphic encryption scheme and blinding factor protection, which can guarantee the privacy of model parameters. Secondly, the protocol improves the data aggregation efficiency by setting dynamic training time windows. Thirdly, the protocol reduces the frequent participations of Trusted Authority (TA) by optimizing the fault-tolerance mechanism. Finally, the security analysis proves that the proposed protocol is secure, and the performance analysis results also show that the proposed protocol has high computation and communication efficiency. IEEE
This paper considers a platform-led e-commerce supply chain consisted of a supplier and an online *** supplier distributes products through the online platform operated with reselling or agency *** online platform inv...
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This paper considers a platform-led e-commerce supply chain consisted of a supplier and an online *** supplier distributes products through the online platform operated with reselling or agency *** online platform invests in blockchain technology and the supplier shares partial investment *** paper formulates four platform Stackelberg models to analyze the optimal pricing and information traceability level without and with cost-sharing mechanism under two platform *** the model comparison,the impact of the cost-sharing mechanism and the choice of the platform mode are *** suggests that the cost-sharing mechanism is effective in improving two members profits under two platform *** cost-sharing mechanism,the supplier benefits from the agency platform mode while the online platform benefits from the reselling platform mode,and thereby the win-win outcome cannot be achieved between two *** cost-sharing mechanism,the supplier benefits from the agency platform mode while the online platform benefits from the reselling(agency)platform mode with a low(high)blockchain investment efficiency,and thereby the win-win outcome can be achieved between two members through the agency platform mode under a high blockchain investment *** paper further extends to the case that the online platform operates with hybrid mode,and derive the insights into the value of the agency platform mode in achieving the win-win outcome through the cost-sharing mechanism.
Emotion is a crucial factor which influences evacuation effects. However, the studies and quantitative analysis of evacuation emotions, including the emotion generated by external factors and internal personality or c...
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Smart contracts are essential tools for enabling interaction between blockchain and Internet of Things (IoT) systems. For example, in cold chain logistics, the blockchain can obtain the states of the logistics system ...
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Dear Editor,This letter presents a new transfer learning framework for the deep multi-agent reinforcement learning(DMARL) to reduce the convergence difficulty and training time when applying DMARL to a new scenario [1...
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Dear Editor,This letter presents a new transfer learning framework for the deep multi-agent reinforcement learning(DMARL) to reduce the convergence difficulty and training time when applying DMARL to a new scenario [1], [2].
With the development of artificial intelligence, deep learning has been increasingly used to achieve automatic detection of geographic information, replacing manual interpretation and improving efficiency. However, re...
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Detecting dangerous driving behavior is a critical research area focused on identifying and preventing actions that could lead to traffic accidents, such as smoking, drinking, yawning, and drowsiness, through technica...
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Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource *** to resource competition between...
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Cloud service providers generally co-locate online services and batch jobs onto the same computer cluster,where the resources can be pooled in order to maximize data center resource *** to resource competition between batch jobs and online services,co-location frequently impairs the performance of online *** study presents a quality of service(QoS)prediction-based schedulingmodel(QPSM)for *** performance prediction of QPSM consists of two parts:the prediction of an online service’s QoS anomaly based on XGBoost and the prediction of the completion time of an offline batch job based on ***-line service QoS anomaly prediction is used to evaluate the influence of batch jobmix on on-line service performance,and batch job completion time prediction is utilized to reduce the total waiting time of batch *** the same number of batch jobs are scheduled in experiments using typical test sets such as CloudSuite,the scheduling time required by QPSM is reduced by about 6 h on average compared with the first-come,first-served strategy and by about 11 h compared with the random scheduling *** with the non-co-located situation,QPSM can improve CPU resource utilization by 12.15% and memory resource utilization by 5.7% on *** show that the QPSM scheduling strategy proposed in this study can effectively guarantee the quality of online services and further improve cluster resource utilization.
The metaverse has emerged as a prominent topic with growing interest fueled by advancements in Web 3.0,blockchain,and immersive *** paper presents a thorough analysis of the metaverse,showcasing its evolution from a c...
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The metaverse has emerged as a prominent topic with growing interest fueled by advancements in Web 3.0,blockchain,and immersive *** paper presents a thorough analysis of the metaverse,showcasing its evolution from a conceptual phase rooted in science fiction to a dynamic and transformative digital environment impacting various sectors including gaming,education,healthcare,and *** paper introduces the metaverse,details its historical development,and introduces key technologies that enable its existence such as virtual and augmented reality,blockchain,and artificial *** this work explores diverse application scenarios,future trends,and critical challenges including data privacy,technological limitations,and integration issues that must be addressed for the metaverse to reach its full *** significance of this study lies in its comprehensive nature,providing insights not only for researchers and practitioners but also for policymakers aiming to navigate the complexities of the metaverse and leverage its capabilities for societal ***,the paper forecast the future where the metaverse plays an integral role in reshaping human interaction,commerce,and creativity,thus emphasizing the need for ongoing research and collaborative efforts to unlock its vast possibilities.
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