Research Output per year
Fingerprint Dive into the research topics where David Moore is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Sirens
Engineering & Materials Science
Emergency vehicles
Engineering & Materials Science
Acoustic waves
Engineering & Materials Science
Audio systems
Engineering & Materials Science
Education
Engineering & Materials Science
Virtual reality
Engineering & Materials Science
Students
Engineering & Materials Science
programming
Social Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2007 2017
An investigation into the use of virtual reality technology for passenger infotainment in a vehicular environment
Wang, S., Charissis, V., Campbell, J., Chan, W., Moore, D. & Harrison, D., 6 Feb 2017, International Conference on Advanced Materials for Science and Engineering (ICAMSE): IEEE ICICE 2016. IEEE, 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Virtual reality
Windshields
Human computer interaction
Display devices
Experience sampling: assessing urban soundscapes using in-situ participatory methods
Craig, A., Moore, D. & Knox, D., Feb 2017, In : Applied Acoustics. 117, B, p. 227-235Research output: Contribution to journal › Article
Open Access
File
sampling
recording
inclusions
methodology
acoustics
Using phase information to improve the reconstruction accuracy in sinusoidal modeling
Hollomey, C., Moore, D., Knox, D., Brimijoin, O. & Whitmer, W., 26 May 2016, Proceedings of the 140th International AES Convention. Audio Engineering SocietyResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Musical instruments
Learning systems
Acoustic waves
Challenges of using networked music performance in education
Iorwerth, M., Moore, D. & Knox, D., Aug 2015, AES 26th UK Conference on Audio Education. Audio Engineering Society, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Education
Students
Communication
Structural health monitoring of wind turbine blades: acoustic source localization using wireless sensor networks
Bouzid, O., Tian, G. Y., Cumanan, K. & Moore, D., 2015, In : Journal of Sensors. 2015, 11 p.Research output: Contribution to journal › Article
Open Access
File
turbine blades
wind turbines
structural health monitoring
Structural health monitoring
acoustic emission