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Neural network-based dynamic target enclosing control for uncertain nonlinear multi-agent systems over signed networks.
Neural Netw
December 2024
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China; Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu, 611731, Sichuan, China. Electronic address:
Neural networks have significant advantages in the estimation of uncertainty dynamics, which can afford highly accurate prediction outcomes and enhance control robustness. With this in mind, this study presents a neural network-based method to investigate the uncertain target enclosing control problem for multi-agent systems over signed networks. Firstly, a nominal target enclosing controller is constructed by adding the target information component into the classical bipartite consensus error, in which the multi-agent system can be grouped to enclose the target from opposite sides.
View Article and Find Full Text PDFSignificance of AI-assisted techniques for epiphyte plant monitoring and identification from drone images.
J Environ Manage
September 2024
Department of Botany, University of Wyoming, Laramie, WY, 82071, USA. Electronic address:
Monitoring forest canopies is vital for ecological studies, particularly for assessing epiphytes in rain forest ecosystems. Traditional methods for studying epiphytes, such as climbing trees and building observation structures, are labor, cost intensive and risky. Unmanned Aerial Vehicles (UAVs) have emerged as a valuable tool in this domain, offering botanists a safer and more cost-effective means to collect data.
View Article and Find Full Text PDFA scenario based approach to optimizing cost-effectiveness of physician-staffed Helicopter Emergency Medical Services compared to ground-based Emergency Medical Services in Finland.
Scand J Trauma Resusc Emerg Med
July 2024
Department of Public Health, Faculty of Medicine, University of Helsinki, P.O. BOX 00020, Helsingin Yliopisto, Helsinki, 00014, Finland.
Objectives: Since Helicopter Emergency Medical Services (HEMS) is an expensive resource in terms of unit price compared to ground-based Emergency Medical Service (EMS), it is important to further investigate which methods would allow for the optimization of these services. The aim of this study was to evaluate the cost-effectiveness of physician-staffed HEMS compared to ground-based EMS in developed scenarios with improvements in triage, aviation performance, and the inclusion of ischemic stroke patients.
Methods: Incremental cost-effectiveness ratio (ICER) was assessed by comparing health outcomes and costs of HEMS versus ground-based EMS across six different scenarios.
The Estimated Cost-Effectiveness of Physician-Staffed Helicopter Emergency Medical Services Compared to Ground-Based Emergency Medical Services in Finland.
Air Med J
May 2024
Faculty of Medicine, Department of Public Health, University of Helsinki, Helsinki, Finland.
Objective: Because the unit cost of helicopter emergency medical services (HEMS) is higher than traditional ground-based emergency medical services (EMS), it is important to further investigate the impact of HEMS. The aim of this study was to evaluate the cost-effectiveness of physician-staffed HEMS compared with ground-based EMS in Finland under current practices.
Methods: The incremental cost-effectiveness ratio was evaluated using the differences in outcomes and costs between HEMS and ground-based EMS.
A high-performance, sensitive, low-cost LIG/PDMS strain sensor for impact damage monitoring and localization in composite structures.
Nanotechnology
June 2024
College of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110136, People's Republic of China.
Health monitoring of composite structures in aircraft is critical, as these structures are commonly utilized in weight-sensitive areas and innovative designs that directly impact flight safety and reliability. Traditional monitoring methods have limitations in monitoring area, strain limit, and signal processing. In this paper, a multifunctional sensor has been developed using acid-treated laser-induced graphene (A-LIG) with a multi-layer three-dimensional conductive network.
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