Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Henrik Hesse"'
Publikováno v:
AIAA AVIATION 2021 FORUM.
A wing-tail tandem configuration undergoing forced harmonic pitch is numerically simulated using Detached-Eddy Simulation (DES) coupled with an overset grid. This subjects a tail to a wing wake induced through forced pitch oscillations (Re=21,400, k=
Aiming to develop methods for real-time 3D scanning of building interiors, this work evaluates the performance of state-of-the-art LiDAR-based approaches for 3D simultaneous localisation and mapping (SLAM) in indoor environments. A simulation framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c70ab5a70af26cce0e94d687c12b276a
https://eprints.gla.ac.uk/245273/1/245273.pdf
https://eprints.gla.ac.uk/245273/1/245273.pdf
Autor:
Yong Kiat Tay, Henrik Hesse
Publikováno v:
2021 7th International Conference on Control, Automation and Robotics (ICCAR).
Demand in unmanned aircraft (UA) technologies for real-world applications have increased over the recent years, driving national aviation authorities to implement weight dependent regulations across all UA operations. Introduction of registration for
Publikováno v:
AIAA Scitech 2021 Forum.
A novel approach for the rapid design of unconventional rotor shrouds combining a rapid manufacturing approach with a high-fidelity CFD prediction tool is proposed in this work. Using 3D printing and thrust stand measurements, different shroud design
Autor:
Maican Liu, Alex To, Henrik Hesse, Joseph G. Davis, Hoang D. Nguyen, Jeannie S.A. Lee, Muhammad Hazeeq Bin Muhammad Hairul
Publikováno v:
Social Computing and Social Media: Experience Design and Social Network Analysis ISBN: 9783030776251
HCI (13)
HCI (13)
Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal of combining the physical space and the virtual space. To date, the Digital Twin concept has been applied in many engineering fields, providing useful ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d26353a78d1c2b98817b505c9197299
https://doi.org/10.1007/978-3-030-77626-8_35
https://doi.org/10.1007/978-3-030-77626-8_35
Publikováno v:
IFAC-PapersOnLine, 51 (15)
18th IFAC Symposium on System Identification, SYSID 2018. Proceedings
IFAC-Papers
18th IFAC Symposium on System Identification, SYSID 2018. Proceedings
IFAC-Papers
Large-scale kites, flying high-force crosswind trajectories, have been proposed for wind power generation. A two phase operational cycle generates net positive power using a ground-based motor/generator. In the traction phase the kite flies a high-fo
Publikováno v:
IFAC-PapersOnLine. 50:11959-11964
We present a novel estimation approach for airborne wind energy systems with ground-based control and energy generation. The estimator fuses measurements from an inertial measurement unit attached to a tethered wing and position measurements from a c
Publikováno v:
IEEE Internet of Things Journal, 6 (3)
In this paper we propose an embedded optimization approach for the localization of IoT devices making use of range measurements from ultra-wideband (UWB) signals. Low-cost, low-power UWB radios provide time-of-arrival measurements with decimeter accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6639cc50e5e81eb61a8c9d1509868371
https://hdl.handle.net/20.500.11850/351626
https://hdl.handle.net/20.500.11850/351626
Publikováno v:
AIAA Scitech 2019 Forum.
This paper presents a novel morphing concept for multirotor Unmanned Aerial Vehicles\ud (UAVs) to optimize the vehicle \ud ight performance during multi-parcel deliveries. Abrupt\ud changes in the vehicle weight distribution during a parcel delivery
This work presents a novel design methodology for multirotor Unmanned Aerial Vehicles (UAVs). To specifically address the design of vehicles with heavy lift capabilities, we have extended existing design methodologies to include coaxial rotor systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6eb29d9d96f4570bfab74ec2f79fb05
https://eprints.gla.ac.uk/178026/1/178026.pdf
https://eprints.gla.ac.uk/178026/1/178026.pdf