In China,an estimated 48.42-82.11 million individuals are affected by rare diseases.This estimate is derived from the Orphanet database,based on the global population of 7.55 billion and China's population of 1.39...In China,an estimated 48.42-82.11 million individuals are affected by rare diseases.This estimate is derived from the Orphanet database,based on the global population of 7.55 billion and China's population of 1.39 billion in 2017(source:National Bureau of Statistics of China)[1,2].展开更多
Rapid and effective maritime search and rescue operations become the important guarantee for the safety of maritime navigation.The existing maritime search and rescue networking and model have slow response speed and ...Rapid and effective maritime search and rescue operations become the important guarantee for the safety of maritime navigation.The existing maritime search and rescue networking and model have slow response speed and low efficiency.The distribution,synergy,parallelism,robustness and intelligence of unmanned surface vehicle(USV)and unmanned aerial vehicle(UAV)provide a new idea for the novel maritime search and rescue networking,in which multi-agent could be used to build a layered control network.In this paper,a novel rapid search and rescue system is proposed by utilizing the improved ant colony optimization and the independent calculation decision of the agents.The system adopts the edge computing,relies on the information sharing and the cooperative decision between the search and rescue agent groups.It achieves the independent synchronous search and rescue.At the same time,we use particle swarm optimization to intelligently schedule data packets during the rescue process to optimize network forwarding performance.Based on the distributed cluster control of USV and UAV,this paper combines edge computing,cooperative communication and centralized task allocation together to make decision for rescue.The simulation results show that our proposed schemes realize a significant improvement for maritime search and rescue.展开更多
基金supported by the National Key Research and Development Program of China(2022YFC2703100)The Ministry of Finance of the People's Republic of China funded the UPWARDS projectthe National Health Commission of the People's Republic of China(NHC)for supporting this study。
文摘In China,an estimated 48.42-82.11 million individuals are affected by rare diseases.This estimate is derived from the Orphanet database,based on the global population of 7.55 billion and China's population of 1.39 billion in 2017(source:National Bureau of Statistics of China)[1,2].
基金supported in part by Natural Science Foundation of China under Grant 61771086China Postdoctoral Science Foundation under Grant 2015T80238Dalian Outstanding Young Science and Technology Talents Foundation.And it was partly published on IEEE Green Computing 2018.
文摘Rapid and effective maritime search and rescue operations become the important guarantee for the safety of maritime navigation.The existing maritime search and rescue networking and model have slow response speed and low efficiency.The distribution,synergy,parallelism,robustness and intelligence of unmanned surface vehicle(USV)and unmanned aerial vehicle(UAV)provide a new idea for the novel maritime search and rescue networking,in which multi-agent could be used to build a layered control network.In this paper,a novel rapid search and rescue system is proposed by utilizing the improved ant colony optimization and the independent calculation decision of the agents.The system adopts the edge computing,relies on the information sharing and the cooperative decision between the search and rescue agent groups.It achieves the independent synchronous search and rescue.At the same time,we use particle swarm optimization to intelligently schedule data packets during the rescue process to optimize network forwarding performance.Based on the distributed cluster control of USV and UAV,this paper combines edge computing,cooperative communication and centralized task allocation together to make decision for rescue.The simulation results show that our proposed schemes realize a significant improvement for maritime search and rescue.
