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Maritime search and rescue Networking Based on Multi-Agent Cooperative Communication

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Journal of Communications and Information Networks 2019年第1期4卷 42-53页

作者： Zhi Jiang Tingting Yang Lin Zhou Yuqing Yuan Hailong Feng Navigation College Dalian Maritime UniversityDalian 116026China School of Electrical Engineering and Intelligentization Dongguan University of TechnologyDongguan 523000China College of Transportation Engineering Dalian Maritime UniversityDalian 116026China

Rapid and effective maritime search and rescue operations become the important guarantee for the safety of maritime *** existing maritime search and rescue networking and model have slow response speed and low *** 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 *** 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 *** system adopts the edge computing,relies on the information sharing and the cooperative decision between the search and rescue agent *** achieves the independent synchronous search and *** the same time,we use particle swarm optimization to intelligently schedule data packets during the rescue process to optimize network forwarding *** 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 *** simulation results show that our proposed schemes realize a significant improvement for maritime search and rescue.

关键词： edge computing cooperative communication swarm intelligence search and rescue

Research Review on Marine search and rescue

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Journal of Shipping and Ocean Engineering 2017年第3期7卷 112-120页

作者： CHEN Xinqiang SHI Chaojian WANG Shengzheng WU Huafeng XU Tie KE Ruimin Merchant Marine College Shanghai Maritime University Shanghai 201306 China Department of Civil and Environmental Engineering University of Washington Seattle 98195 United States

Locating the marine target in a quick and precise way is the crucial point of implementing SAR （search and rescue） at sea, which involves aspects of developing SAR strategy and detects the marine targets. As the effect of marine target detection restricts the SAR result directly, the study has focused on reviewing the previous research about marine target detection, especially dim marine target detection. What＇s more, small target detection under complex sea status is one of the severe challenges which is research＇s hotspot and needs more endeavor. Current research results and future research directions are discussed in the paper. The findings can provide systematic view of implementing maritime search and rescue for field researchers and governors.

关键词： Maritime accident search and rescue complex marine condition dim target detection smart ship.

Vision Enhancement for Maritime search and rescue

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Vision Enhancement for Maritime Search and Rescue

A Conceptual Design of Regional search and rescue System

Asia Navigation Conference 2009

作者： Chaojian SHI~1 Kaiyu XU~1 Xinzhi WANG~2 1 Shanghai Maritime University Shanghai P.R China.200135 2 Donghai rescue Bureau Ministry of Transportation P.R China.

＜正＞Because of the limitation of physiological characteristics of human eyes,it is necessary to develop vision enhancement system for maritime search and rescue（SAR-VES）,which is intended to improve the poor searching performance of human vision at sea.A system with its framework architecture,which integrates the imaging systems of visible light,infrared,radar and satellite remote sensing,is proposed in this paper to compensate the weakness of the human observation in the maritime search and rescue *** system will promote the sensitivity and the detection rate of targets,especially small ones,at *** will help improve the safety of life at sea and reduce economical losses in marine accidents.

关键词： vision enhancement system search and rescue human vision safety at sea target detection

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A Conceptual Design of Regional Search and Rescue System

Helicopter maritime search area planning based on a minimum bounding rectangle and K-means clustering

第三届中国卫星导航学术年会

作者： Xu Lijuan Qu Jianghua Yuan Hong Liu Songchuan Academy of Opto-Electronics Chinese Academy of Sciences

A fast regional search and rescue system is proposed based on the communication satellite to explore an application mode of search and rescue positioning by using satellite navigation *** geometry between satellites is optimized so as to improve the positioning accuracy and efficiency of search and *** the simulation results for positioning error algorithm show that the search and rescue system with the algorithm,which is a cheap and effective safety service model,is feasible.

关键词： region search and rescue communication satellites

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Chinese Journal of Aeronautics 2021年第2期34卷 554-562页

作者： Peisen XIONG Hu LIUa Yongliang TIAN Zikun CHEN Bin WANG Hao YANG School of Aeronautic Science and Engineering Beihang UniversityBeijing 100083China Dong Hai No.2 rescue Flying Service of The Ministry of Transport Xiamen 361006China

Helicopters are widely used in maritime search and rescue(SAR) missions. To ensure the success of SAR missions, search areas need to be carefully planned. With the development of computer technology and weather forecast technology, the survivors’ drift trajectories can be predicted more precisely, which strongly supports the planning of search areas for the rescue helicopter. However, the methods used to determine the search area based on the predicted drift trajectories are mainly derived from the continuous expansion of the area with the highest Probability of Containment(POC), which may lead to local optimal solutions and a decrease in the Probability of Success(POS), especially when there are several subareas with a high POC. To address this problem, this paper proposes a method based on a Minimum Bounding Rectangle and Kmeans clustering(MBRK). A silhouette coefficient is adopted to analyze the distribution of the survivors’ probable locations, which are divided into multiple clusters with K-means clustering. Then,probability maps are generated based on the minimum bounding rectangle of each cluster. By adding or subtracting one row or column of cells or shifting the planned search area, 12 search methods are used to generate the optimal search area starting from the cell with the highest POC in each probability map. Taking a real case as an example, the simulation experiment results show that the POS values obtained by the MBRK method are higher than those obtained by other methods,which proves that the MBRK method can effectively support the planning of search areas and that K-means clustering improves the POS of search plans.

关键词： K-means clustering Minimum bounding rectangle Mission planning Probability map search and rescue

A Proposed Methodological Approach for Considering Community Resilience in Technology Development and Disaster Management Pilot Testing

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International Journal of Disaster Risk Science 2022年第3期13卷 342-357页

作者： Ioannis Benekos Evangelos Bekiaris Katarzyna Wodniak Waleed Serhan Łukasz Sułkowski Hana Gharrad Ansar Yasar Centre for Research&Technology Hellas(CERTH) Hellenic Institute of Transport(HIT)15125MarousiGreece Department of Management University of Social SciencesWarsaw00-842WarsawPoland Transportation Research Institute(IMOB) Hasselt University3590DiepenbeekBelgium

Nowadays,resilience has become an indispensable term in several aspects and areas of research and *** consensus on what actually constitutes"resilience,""community,"and"community resilience"is still a task that guarantees a vivid exchange of opinions,sometimes escalating into debates,both in the scientific community and among *** out how to practically apply resilience principles goes even a step *** study attempts to circumvent the need for a universal agreement on the definition of"community resilience,"which may still be immature,if not impossible,at this *** accomplish this by proposing a practical methodological approach with concrete methods on how to agree and implement commonly accepted community resilience principles in the context of technology development and pilot testing for disaster *** proposed approach was developed,tested,and validated in the context of the Horizon 2020 EU-funded project search and *** aspects of the approach,along with considerations for further improvement and adaptation in different contexts,are addressed in the article.

关键词： Community resilience Crisis management Disaster preparedness and response Disaster risk management search and rescue

Using a combinatorial auction-based approach for simulation of cooperative rescue operations in disaster relief

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第4期9卷 230-250页

作者： Kejun Zhu Jian Tang Haixiang Guo Chengzhu Gong Jinling Li School of Economics and Management China University of Geosciences Wuhan 430074 P.R.China

In practice,we experience low efficiency of search and rescue(SAR)frequently in disaster ***,we will optimize the SAR through agent-based *** the kind of cases described here,rescue teams are characterized by different capabilities,and the tasks often require different capabilities to *** this end,a combinatorial auction-based task allocation scheme is used to develop a cooperative rescue plan for the heterogeneous rescue ***,we illustrate the proposed cooperative rescue plan in different scenarios with the case of landslide disaster *** simulation results indicate that the combinatorial auction-based cooperative rescue plan would increase victims’relative survival probability by 13.8–16.3%,increase the ratio of survivors getting rescued by 10.7–12.7%,and decrease the average elapsed time for one site getting rescued by 19.0–26.6%.The proposed rescue plan outperforms the rescue plan based on the F-Max-Sum a little *** robustness analysis shows that the proposed rescue plan is relatively reliable on condition that both the search radius and scope of cooperation are larger than ***,we have investigated how the number of rescue teams influences the rescue efficiency.

关键词： search and rescue simulation task allocation heterogeneity combinatorial auction.

Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment

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Computer Systems Science & Engineering 2023年第7期46卷 749-764页

作者： Naqqash Dilshad Taimoor Khan JaeSeung Song Department of Convergence Engineering for Intelligent Drone Seoul05006Korea Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan

To prevent economic,social,and ecological damage,fire detection and management at an early stage are significant yet *** computationally complex networks have been developed,attention has been largely focused on improving accuracy,rather than focusing on real-time fire ***,in this study,the authors present an efficient fire detection framework termed E-FireNet for real-time detection in a complex surveillance *** proposed model architecture is inspired by the VGG16 network,with significant modifications including the entire removal of Block-5 and tweaking of the convolutional layers of *** results in higher performance with a reduced number of parameters and inference ***,smaller convolutional kernels are utilized,which are particularly designed to obtain the optimal details from input images,with numerous channels to assist in feature *** E-FireNet,three steps are involved:preprocessing of collected data,detection of fires using the proposed technique,and,if there is a fire,alarms are generated and transmitted to law enforcement,healthcare,and management ***,E-FireNet achieves 0.98 accuracy,1 precision,0.99 recall,and 0.99 F1-score.A comprehensive investigation of various Convolutional Neural Network(CNN)models is conducted using the newly created Fire Surveillance SV-Fire *** empirical results and comparison of numerous parameters establish that the proposed model shows convincing performance in terms of accuracy,model size,and execution time.

关键词： Deep learning drone embedded vision emergency monitoring fire classification fire detection IoT search and rescue

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Wilderness medicine

World Journal of Emergency Medicine 2014年第1期5卷 5-15页

作者： Douglas G.Sward Brad L.Bennett Department of Emergency Medicine University of Maryland School of Medicine Hyperbaric Medicine Shock Trauma Center Military & Emergency Medicine Department F. Edward Hébert School of Medicine Uniformed Services University of the Health Sciences

BACKGROUND: Human activity in wilderness areas has increased globally in recent decades, leading to increased risk of injury and illness. Wilderness medicine has developed in response to both need and ***: The field of wilderness medicine encompasses many areas of interest. Some focus on special circumstances(such as avalanches) while others have a broader scope(such as trauma care). Several core areas of key interest within wilderness medicine are discussed in this ***: Wilderness medicine is characterized by remote and improvised care of patients with routine or exotic illnesses or trauma, limited resources and manpower, and delayed evacuation to definitive care. Wilderness medicine is developing rapidly and draws from the breadth of medical and surgical subspecialties as well as the technical fields of mountaineering, climbing, and diving. Research, epidemiology, and evidence-based guidelines are evolving. A hallmark of this field is injury prevention and risk mitigation. The range of topics encompasses high-altitude cerebral edema, decompression sickness, snake envenomation, lightning injury, extremity trauma, and gastroenteritis. Several professional societies, academic fellowships, and training organizations offer education and resources for laypeople and health care ***: The future of wilderness medicine is unfolding on multiple fronts: education, research, training, technology, communications, and environment. Although wilderness medicine research is technically difficult to perform, it is essential to deepening our understanding of the contribution of specific techniques in achieving improvements in clinical outcomes.

关键词： Wilderness medicine High-altitude sickness Dive medicine Envenomation Trauma Hyperthermia Hypothermia Frostbite Avalanche Combat injuries search and rescue Travel medicine Disaster medicine