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UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation

Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar, Svetlana V. Shvetsova, Mohammed A. Alhartomi, Ammar Hawbani, Navin Singh Rajput, Sumit Srivastava, Abdu Saif, Vincent Omollo Nyangaresi
2022 Drones  
We have considered network parameters such as delay, throughput, and traffic sent and received, as well as path loss for the proposed network.  ...  UAVs can be used to provide an adaptable and reliable emergency communication backbone and to resolve major issues in disasters for SAR operations.  ...  Acknowledgments: We acknowledge the support from the Science 596 Foundation Ireland (SFI) under Grant Number SFI/16/RC/3918 (Confirm) and the Marie Skłodowska-Curie 597 grant agreement No. 847577 co-funded  ... 
doi:10.3390/drones6070154 fatcat:ufahcydtr5asdhm76tztrksnou

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Zhao-xia Lu, Peng Qian, Dan Bi, Zhe-wei Ye, Xuan He, Yu-hong Zhao, Lei Su, Si-liang Li, Zheng-long Zhu
2021 Current Medical Science  
recognition, behavior recognition, anomaly detection, assistant decision-making system, to describe the scenario-based applications of remote diagnosis and treatment collaboration, neonatal intensive  ...  The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development.  ...  This focus has become a popular direction for medical development, and is also one of the important measures used to solve the problem of unequal allocation of medical resources [55] .  ... 
doi:10.1007/s11596-021-2486-z pmid:34939144 pmcid:PMC8693843 fatcat:3g3qpksktjhv5koqs3i7ylco7y

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking [article]

Salwa Saafi, Olga Vikhrova, Gábor Fodor, Jiri Hosek, Sergey Andreev
2022 arXiv   pre-print
To cope with the increased complexity of managing these integrated systems, this article advocates the use of artificial intelligence and machine learning-based approaches to meet the service requirements  ...  Digitalization and automation help achieve these goals by transforming shipping and cruising into a much more cost- and energy-efficient, and decarbonized industry segment.  ...  ACKNOWLEDGMENTS The authors gratefully acknowledge funding from European Union's Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie grant agreement No. 813278 (A-WEAR project  ... 
arXiv:2201.06947v2 fatcat:u7owlfpmz5f43jlbkvh2ztfvti

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar, Jahan Hassan, Mohammed A. Alhartomi, Svetlana V. Shvetsova, Radhya Sahal, Ammar Hawbani
2022 Drones  
We present the reader with an insight into UAV computing, advantages, applications, and challenges that can provide helpful guidance for future research.  ...  Intelligence (AI) techniques to extract discriminatory information from the massive amount of data for different tasks.Therefore, Mobile Edge Computing (MEC) has evolved as a promising computing paradigm  ...  The authors in [103] applied the AI techniques of FL and Reinforcement Learning for intelligent task offloading and computing resource allocation decisions in a UAV-NOMA MEC system.  ... 
doi:10.3390/drones6070177 fatcat:533tggsjhbdjvbowfr3ku5mmci

An ILP and simulation model to optimize search and rescue helicopter operations

Mumtaz Karatas, Nasuh Razi, Murat M. Gunal
2017 Journal of the Operational Research Society  
Maritime search and rescue (SAR) operations, conducted for rendering aid to the victims in need of help at sea, play a crucial role in dropping the number of causalities.  ...  Mumtaz Karatas et al-An ILP and simulation model to optimize search and rescue helicopter operations  ...  As emergency systems facility location problem applications, Jia et al (2007) utilize both covering, center and median models for allocating medical supply storage to distribute antibiotics, vaccines  ... 
doi:10.1057/s41274-016-0154-7 fatcat:hc3dxee6zbgohpqvcpi6to3cem

Industrial Internet-enabled Resilient Manufacturing Strategy in the Wake of COVID-19 Pandemic: A Conceptual Framework and Implementations in China

Tao Peng, Qiqi He, Zheng Zhang, Baicun Wang, Xun Xu
2021 Chinese Journal of Mechanical Engineering  
Key enabling technologies for the proposed framework are outlined in data acquisition and management, big data analysis, intelligent services, and others.  ...  It is suggested that an industry-specific and comprehensive selection coordinated with the guiding policy and supporting regulations should be performed at the national, at least regional level.  ...  Acknowledgements The authors sincerely thanks to the researchers at the Institute of Industrial Engineering, Zhejiang University for their critical discussions during manuscript preparation. 1  ... 
doi:10.1186/s10033-021-00573-4 fatcat:iys6ejfmonf5fgepytpl7dwa24

Application of Multi-agent Simulation in Animal Epidemic Emergency Management: Take an Example of AFS (Africa Fever Swine) Policy

Yan-wen XU
2019 DEStech Transactions on Engineering and Technology Research  
The research advantages of multi-agent simulation, construction process, functional structure and system in policy evaluation and Application in emergency management of animal epidemic events.  ...  The real technology is applied to the policy analysis and emergency management of infectious disease prevention and control the application of multi-agent simulation method in the system is discussed.  ...  allocation of medical resources, resource distribution, personnel allocation, traffic management schemes, etc.  ... 
doi:10.12783/dtetr/amsms2019/31843 fatcat:y64nxgoitzfd3kyb2vw4gsglfa

Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications

Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Rosilah Hassan, Rashid A. Saeed, Mona Bakri Hassan, Shayla Islam, Nazmus Shaker Nafi, Savitri Bevinakoppa, Fawad Ahmed
2021 Security and Communication Networks  
The promised applications of smart vehicles and IoV systems face many challenges, such as big data collection in IoV and distribution to attractive vehicles and humans.  ...  This paper aims to provide theoretical foundations for machine learning and the leading models and algorithms to resolve IoV applications' challenges.  ...  IoV applications i.e., in the medical field.  ... 
doi:10.1155/2021/8868355 fatcat:z3bnxkaydvd5jl36dcgvta6xa4

Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19?

Nishita Mehta, Sharvari Shukla
2021 SN Computer Science  
in informed decision-making.  ...  Several countries started applying big data and advanced analytics technology for management of the crisis.  ...  Furthermore, these technologies have proven useful for hospitals in predicting the demand for healthcare resources and planning the allocation in advance.  ... 
doi:10.1007/s42979-021-00923-y pmid:34778841 pmcid:PMC8577168 fatcat:sjk724b5l5fx7ljjnzoevibl5e

A Survey on Scheduling Based Mac Protocol for Congestion Minimization in Internet of Things (IoT)

Abhijit Biswas, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
Essentially, the network leads to lot of congestion due to non-availability of IoT equipment and less available resources for various environmental applications.  ...  wide applications in area of Smart homes, Industrial automation, and security destined applications and information trailing.  ...  It accepts the data from various sources and send the datas to a end point within allotted time. This scenario is one of IoT applications for medical field.  ... 
doi:10.17762/turcomat.v12i2.1107 fatcat:l4ih5qmdezd7rms7vyik5f35pe

Artificial Intelligence for Social Good: A Survey [article]

Zheyuan Ryan Shi, Claire Wang, Fei Fang
2020 arXiv   pre-print
ways. (1) We quantitatively analyze the distribution and trend of the AI4SG literature in terms of application domains and AI techniques used. (2) We propose three conceptual methods to systematically  ...  Artificial intelligence for social good (AI4SG) is a research theme that aims to use and advance artificial intelligence to address societal issues and improve the well-being of the world.  ...  AI has also greatly advanced human capabilities in complex decision-making processes ranging from determining how to allocate security resources to protect airports [4] to games such as poker [5] and  ... 
arXiv:2001.01818v1 fatcat:t6sn75k56nb3fbqi4vi52i2j44

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Emmanouel T. Michailidis, Stelios M. Potirakis, Athanasios G. Kanatas
2020 IoT  
By adding intelligence and facilitating the decision-making and prediction procedures, the NTNs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics  ...  During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped  ...  In the context of network operation, AI can be used for efficiently handling the optimization of resource allocation and congestion avoidance.  ... 
doi:10.3390/iot1010003 fatcat:xkjxfh6r2fd27jyuxazfc6lbqu

Resource Scheduling in Edge Computing: A Survey [article]

Quyuan Luo, Shihong Hu, Changle Li, Guanghui Li, Weisong Shi
2021 arXiv   pre-print
Particularly, we introduce a unified model before summarizing the current works on resource scheduling from three research issues, including computation offloading, resource allocation, and resource provisioning  ...  Based on two modes of operation, i.e., centralized and distributed modes, different techniques for resource scheduling are discussed and compared.  ...  , search, and rescue.  ... 
arXiv:2108.08059v1 fatcat:oo4lepcn3rhdfafefw5lkq2lia

A novel approach for traffic accidents sanitary resource allocation based on multi-objective genetic algorithms

Manuel Fogue, Piedad Garrido, Francisco J. Martinez, Juan-Carlos Cano, Carlos T. Calafate, Pietro Manzoni
2013 Expert systems with applications  
A novel approach for traffic accidents sanitary resource allocation based on multiobjective genetic algorithms. Expert Systems with Applications. 40(1):323-336.  ...  In this paper, we propose a novel approach for the sanitary resources allocation in traffic accidents.  ...  Acknowledgments This work was partially supported by the Ministerio de Ciencia e Innovación, Spain, under Grant TIN2011-27543-C03-01, and by the Diputación General de Aragón, under Grant "subvenciones  ... 
doi:10.1016/j.eswa.2012.07.056 fatcat:lr7oll7tsbceteht46uhtjc5oe

National Implementation of Acute Stroke Care Centers in the Veterans Health Administration (VHA): Formative Evaluation of the Field Response

Teresa M. Damush, Kristine K. Miller, Laurie Plue, Arlene A. Schmid, Laura Myers, Glenn Graham, Linda S. Williams
2014 Journal of general internal medicine  
and staff resource allocation and training.  ...  Solutions that were applied included developing stroke order sets and templates to provide systematic decision support, implementing a stroke code in the facility for a coordinated response to stroke,  ...  We appreciate the time and effort of the VA facility clinical providers, staff and administrators, and VISN leaders across the VHA who participated in our interviews.  ... 
doi:10.1007/s11606-014-3036-1 pmid:25355091 pmcid:PMC4239285 fatcat:yzd7ccmhozc4tonc4dzuoipg24
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