Subjects -> TRANSPORTATION (Total: 216 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (39 journals)
    - TRANSPORTATION (123 journals)

AIR TRANSPORT (9 journals)

Showing 1 - 9 of 9 Journals sorted alphabetically
Drones     Open Access   (Followers: 5)
International Journal of Aerospace Psychology     Hybrid Journal   (Followers: 23)
International Journal of Aviation Management     Hybrid Journal   (Followers: 9)
International Journal of Micro Air Vehicles     Full-text available via subscription   (Followers: 11)
Journal of Air Transport Management     Hybrid Journal   (Followers: 13)
Journal of Air Transportation     Hybrid Journal   (Followers: 11)
Journal of Airline and Airport Management     Open Access   (Followers: 12)
Journal of Airport Management     Full-text available via subscription   (Followers: 7)
Transport and Aerospace Engineering     Open Access   (Followers: 1)
Similar Journals
Journal Cover
International Journal of Micro Air Vehicles
Journal Prestige (SJR): 0.368
Citation Impact (citeScore): 1
Number of Followers: 11  
  Full-text available via subscription Subscription journal
ISSN (Print) 1756-8293 - ISSN (Online) 1756-8293
Published by Sage Publications Homepage  [1149 journals]
  • Experimental study on the dynamic behaviour of drones designed for racing
    • Authors: Jose M Castiblanco, S Garcia-Nieto, R Simarro, JV Salcedo
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      Drones designed for racing usually feature powerful miniaturised electronics embedded in fairly light and strong geometric composite structures. The main objective of this article is to analyse the behaviour of various models of racing drones and their geometrical structures (airframes). Two approaches have been made: (i) an analysis of the information collected by a set of speed and time sensors located on an indoor race track and using a statistical technique (box and whiskers diagram) and (ii) an analysis of the know-how (flight sensations) of a group of racing pilots using a series of technical interviews on the behaviour of their drones. By contrasting these approaches, it has been possible to validate numerically the effects of varying the arm angles, as well as lengths, on a test race track and relate the geometry of these structures to racing behaviour.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-05-04T05:43:57Z
      DOI: 10.1177/17568293211005757
      Issue No: Vol. 13 (2021)
  • Design of bio-inspired binocular UAV detection system based on improved
           STC algorithm of scale transformation and occlusion detection
    • Authors: Huajun Song, Yanqi Wu, Guangbing Zhou
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      With the rapid development of drones, many problems have arisen, such as invasion of privacy and endangering security. Inspired by biology, in order to achieve effective detection and robust tracking of small targets such as unmanned aerial vehicles, a binocular vision detection system is designed. The system is composed of long focus and wide-angle dual cameras, servo pan tilt, and dual processors for detecting and identifying targets. In view of the shortcomings of spatio-temporal context target tracking algorithm that cannot adapt to scale transformation and easy to track failure in complex scenes, the scale filter and loss criterion are introduced to make an improvement. Qualitative and quantitative experiments show that the designed system can adapt to the scale changes and partial occlusion conditions in the detection, and meets the real-time requirements. The hardware system and algorithm both have reference value for the application of anti-unmanned aerial vehicle systems.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-04-29T10:25:54Z
      DOI: 10.1177/17568293211004846
      Issue No: Vol. 13 (2021)
  • Assessment of 3D-printed span change structures applied to small unmanned
           aerial vehicles
    • Authors: Todd C Henry, John T Hrynuk, Francis R Phillips
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      An assessment of 3D-printed span-change structures is presented for determining suitability of the technology to small unmanned aerial vehicles. Materials and manufacturing technologies were used with an emphasis on near term applicability with design trades between the aerodynamic performance and structural response. Aerodynamic performance was assessed on three wind tunnel models varying span (432, 600, and 762 mm), wind speed (Reynolds numbers 18,000, 36,000, and 71,000), additive manufacturing print build plane and camber, quantifying structural response as the resulting shape during aerodynamic loading. Each model displayed increasing compliance as span increased with wing-tip displacement on the order of 50, 100, and 200 mm with various degrees of sweep and twist. Models generated excess lift at Re = 71,000 indicating potential flight demonstration of the technology with a lift to drag improvement of up to 97% at maximum wing extension.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-02-22T06:32:39Z
      DOI: 10.1177/1756829321992139
      Issue No: Vol. 13 (2021)
  • Hear-and-avoid for unmanned air vehicles using convolutional neural
    • Authors: Dirk Wijnker, Tom van Dijk, Mirjam Snellen, Guido de Croon, Christophe De Wagter
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      To investigate how an unmanned air vehicle can detect manned aircraft with a single microphone, an audio data set is created in which unmanned air vehicle ego-sound and recorded aircraft sound are mixed together. A convolutional neural network is used to perform air traffic detection. Due to restrictions on flying unmanned air vehicles close to aircraft, the data set has to be artificially produced, so the unmanned air vehicle sound is captured separately from the aircraft sound. They are then mixed with unmanned air vehicle recordings, during which labels are given indicating whether the mixed recording contains aircraft audio or not. The model is a convolutional neural network that uses the features Mel frequency cepstral coefficient, spectrogram or Mel spectrogram as input. For each feature, the effect of unmanned air vehicle/aircraft amplitude ratio, the type of labeling, the window length and the addition of third party aircraft sound database recordings are explored. The results show that the best performance is achieved using the Mel spectrogram feature. The performance increases when the unmanned air vehicle/aircraft amplitude ratio is decreased, when the time window is increased or when the data set is extended with aircraft audio recordings from a third party sound database. Although the currently presented approach has a number of false positives and false negatives that is still too high for real-world application, this study indicates multiple paths forward that can lead to an interesting performance. Finally, the data set is provided as open access.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-02-11T02:53:40Z
      DOI: 10.1177/1756829321992137
      Issue No: Vol. 13 (2021)
  • User involvement before the development of an indoor RPAS for the creative
    • Authors: Blanca de-Miguel-Molina, María de-Miguel-Molina, Virginia Santamarina-Campos, Marival Segarra-Oña
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      This paper presents user needs and preferences gathered prior to the development of an indoor remotely piloted air system. A literature review was carried out to analyse previous studies about the involvement of users in the design of indoor unmanned aerial vehicles. Subsequently, the results of these user needs obtained from three focus groups held in European countries (Belgium, Spain and United Kingdom) are presented here. Through a content analysis of the information obtained in the focus groups, 40 codes and 4 variables were defined and used to examine the differences between types of users and their previous experience with drones. The literature review gave support to the results obtained through users’ involvement in the features to be included in a new unmanned aerial vehicle. Non-parametric tests and qualitative comparative analysis were used to analyse the information gathered in the focus groups. The results revealed few differences between artists working in creative industries and drone operators working for the creative industries. These differences affected features such as detecting and avoiding obstacles, which requires the inclusion of sensors. In addition, previous experience with drones was found to be a sufficient condition to explain greater concerns over safety, ethical and security issues in indoor environments.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-02-11T02:52:59Z
      DOI: 10.1177/1756829321992140
      Issue No: Vol. 13 (2021)
  • Toward the design of dynamically similar artificial insect wings
    • Authors: Heidi Reid, Huimin Zhou, Miles Maxcer, Robert KD Peterson, Jia Deng, Mark Jankauski
      Abstract: International Journal of Micro Air Vehicles, Volume 13, Issue , January-December 2021.
      Flapping wing deformation influences the aerodynamics of insect flight. This deformation is dictated by the dynamical properties of the insect wing, particularly its vibration spectra and mode shapes. However, researchers have not yet developed artificial insect wings with vibration spectra and mode shapes that are identical to their biological counterparts. The goal of the present work is to develop artificial insect wings that are both isospectral and isomodal with respect to real insect wings. To do so, we characterized hawkmoth Manduca sexta wings using experimental modal analyses. From these results, we created artificial wings using additive manufacturing and heat molding. Between artificial and real wings, the first two natural frequencies differ by 7% and 16% respectively, with differences of 16% and 131% in gains evaluated at those natural frequencies. Vibration modes are similar as well. This work provides a foundation for more advanced wing design moving forward.
      Citation: International Journal of Micro Air Vehicles
      PubDate: 2021-02-11T02:52:39Z
      DOI: 10.1177/1756829321992138
      Issue No: Vol. 13 (2021)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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