Article
Engineering, Aerospace
Dariusz Nowak, Grzegorz Kopecki, Damian Kordos, Tomasz Rogalski
Summary: This paper presents a component of an automatic landing system in aircraft, which controls the longitudinal motion of the airplane during automatic landing. The component consists of a vision system, using image-processing algorithms to identify PAPI lights, and an automatic landing system that uses the output data from the vision system to control the landing. The control algorithms in the automatic landing system imitate the pilot's actions during landing. Tests show that the component achieves good control efficiency and flight precision in a simulation environment.
Article
Ecology
Robin Richter, Alexander Dietz, James Foster, Johannes Spaethe, Anna Stoeckl
Summary: The colourful patterns on flowers have been found to guide flower-visiting insects, reducing their handling time and improving the efficiency of pollination.
FUNCTIONAL ECOLOGY
(2023)
Article
Multidisciplinary Sciences
Karla Lopez-Reyes, Martin J. Lankheet, Robert W. H. M. van Tol, Ruth C. Butler, David A. J. Teulon, Karen F. Armstrong
Summary: Real-time 3D tracking and high-speed videography were used in this study to examine the behavior of the western flower thrips in response to different colors. The results showed that the landing patterns and flight behavior of the thrips varied depending on the colors, with some colors attracting more landings and flight time than others. The findings suggest that the thrips may use color as a way to orient themselves and respond to visual stimuli.
SCIENTIFIC REPORTS
(2023)
Article
Biochemistry & Molecular Biology
M. Teague O'Mara, Francisco Amorim, Martina Scacco, Gary F. McCracken, Kamran Safi, Vanessa Mata, Ricardo Tome, Sharon Swartz, Martin Wikelski, Pedro Beja, Hugo Rebelo, Dina K. N. Dechmann
Summary: Despite the lower thermal potential and difficulty of locating uplift features in the nocturnal atmosphere, some bat species are able to fly at high altitudes, performing energetically costly ascents and reaching some of the fastest speeds observed in powered vertebrate flight.
Article
Physics, Multidisciplinary
Yu Teshima, Emyo Fujioka, Shizuko Hiryu
Summary: This article introduces previous studies on echolocating bats and discusses their efficient acoustic navigation strategies during foraging. Furthermore, the study presents the results of a novel method for calculating the echoes received by bats in flight by combining acoustic simulations with behavioral measurements.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN
(2023)
Article
Multidisciplinary Sciences
Antoine H. P. Morice, Thomas Rakotomamonjy, Julien R. Serres, Franck Ruffier
Summary: The study investigates how augmented reality assistance can improve helicopter landing performance on a moving ship. It found that visual augmentation emphasizing online regulation of deceleration can decrease landing duration, improve helicopter control, and enhance sensitivity to changes in speed.
Article
Management
Geoffrey Scozzaro, Catherine Mancel, Daniel Delahaye, Eric Feron
Summary: This paper proposes a tactical flight rescheduling method at an airport to minimize the number of stranded passengers while considering operational constraints. An integer linear programming formulation is used to model the problem, taking into account constraints such as terminal capacities, runway throughput, and passenger transfer time. The implementation of this method reduces up to 60% of stranded passengers with small deviation from the initial planning.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Multidisciplinary Sciences
Laura Stidsholt, Stefan Greif, Holger R. Goerlitz, Kristian Beedholm, Jamie Macaulay, Mark Johnson, Peter Teglberg Madsen
Summary: Research shows that wild hunting bats adjust their sensory strategies to different prey and natural environments, allowing them to be more efficient in capturing prey. By reducing sensory volumes, increasing update rate and redundancy of sensory scenes, bats protect weak prey echoes and segregate prey sensory streams from the background, leading to successful hunting in cluttered environments.
Article
Engineering, Aerospace
Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng
Summary: Modern civil aircrafts are designed to handle heavier workloads. Despite a significant increase in air traffic over the past two decades, the number of accidents has remained relatively stable or slightly higher than before. However, the fatality and property losses resulting from aviation accidents are intolerable even with a single occurrence. A deep-learning-based model for predicting accident types during approach and landing has been developed. This model explores the underlying association between accident types and factors that contribute to unsafe events. By analyzing 43 years of investigation reports on fatal accidents involving civil aircraft, 20 common risk factors were identified and six key factors were extracted. Multiple learning and training techniques, such as backpropagation neural network and radial basis function neural network, were employed for classification. The results showed an overall prediction accuracy of 86.7% for accident types, allowing for effective identification and proactive measures to be taken during the approach and landing phases of civil aircraft operations to ensure aviation safety.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Biology
Michael Bjerre Pedersen, Astrid Saermark Uebel, Kristian Beedholm, Ilias Foskolos, Laura Stidsholt, Peter Teglberg Madsen
Summary: In this study, we tested the hypothesis that frequency-modulating bats employ a spectral jamming avoidance response, but found that they instead increase call amplitude to combat acoustic jamming.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2022)
Article
Computer Science, Information Systems
Debora Gil, Aura Hernandez-Sabate, Julien Enconniere, Saryani Asmayawati, Pau Folch, Juan Borrego-Carazo, Miquel Angel Piera
Summary: This paper presents a cockpit-deployable machine learning system for supporting flight crew in go-around decision-making based on the prediction of hard landing events. The results of the analysis on a large dataset show that our approach achieves an average sensitivity of 85% and an average specificity of 74% at the go-around point. Therefore, our method outperforms existing approaches and serves as a cockpit-deployable recommendation system.
Article
Green & Sustainable Science & Technology
Ida Vikoren Andersen
Summary: This article examines the use of appeals to shame and guilt in the climate change debate through rhetorical criticism of opinion articles discussing flight shame in Norwegian newspapers. It discusses how appeals to flight shame can facilitate deliberation on climate change mitigation, but also warns of the risks of increasing polarization. The debate also serves as a rhetorical examination and negotiation of issues of culpability and responsibility, encouraging the audience to reconsider their travel habits in relation to climate change and moral responsibility.
JOURNAL OF SUSTAINABLE TOURISM
(2022)
Article
Chemistry, Analytical
Damian Kordos, Pawel Krzaczkowski, Pawel Rzucidlo, Zbigniew Gomolka, Ewa Zeslawska, Boguslaw Twarog
Summary: This paper presents a vision system that uses image analysis of the runway and its surroundings to measure the position of an aircraft relative to the runway during a landing approach. Artificial neural networks are employed with a dedicated learning process for each airport, allowing the generation of synthetic video sequences without the need for actual flights. The solution was successfully tested in real flight conditions on an experimental aircraft, and the results are presented in this article.
Article
Engineering, Aerospace
Ningjun Liu, Zhihao Cai, Yingxun Wang, Jiang Zhao
Summary: By designing a three-stage tiltrotor landing maneuver and utilizing the ESO control module, the landing time of the tiltrotor is shortened, and stable flight is achieved at low altitudes. Flight test results demonstrate the effectiveness of the desired fast transition maneuver.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Chemistry, Physical
Mallory Wittwer, Matteo Seita
Summary: Mapping grain orientation in crystalline solids is crucial for studying local microstructure and crystallography as well as interpreting materials properties. We propose a machine learning approach that utilizes optical technique for high-throughput crystal orientation mapping, and successfully apply it to metal alloy specimens with complex microstructures.
NPJ COMPUTATIONAL MATERIALS
(2022)