All Outputs (13)

Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions (2024)
Journal Article
Green, N., Torija, A. J., & Ramos-Romero, C. (2024). Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions. ˜The œJournal of the Acoustical Society of America (Online), 155(2), 915-929. https://doi.org/10.1121/10.0024522

This paper presents the results of a listening experiment designed to assess annoyance and perceived loudness (PL) for several unmanned aircraft system (UAS) operations, with the listener simulated in indoor and outdoor positions. This research inves... Read More about Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions.

Investigating the Dose Response of UAS Noise: Designing a Listening Experiment (2024)
Journal Article
Green, N., Ramos-Romero, C., & Torija Martinez, A. (in press). Investigating the Dose Response of UAS Noise: Designing a Listening Experiment. #Journal not on list, https://doi.org/10.61782/fa.2023.1170

In collaboration with the UK Civil Aviation Authority, the University of Salford is carrying out research to better understand the human perception and dose response of Unmaned Aerial Systems (UAS) noise. A listening experiment has been conducted to... Read More about Investigating the Dose Response of UAS Noise: Designing a Listening Experiment.

sUAS noise characterisation during hovering operations (2024)
Journal Article
Ramos-Romero, C., Green, N., Asensio, C., & Torija Martinez, A. (in press). sUAS noise characterisation during hovering operations. #Journal not on list, https://doi.org/10.61782/fa.2023.0249

In the framework of the EPSRC - UK DroneNoise project, a multi-channel methodology for small unmanned aerial systems (sUAS) noise measurement was applied under controlled conditions. The measurement campaign was carried out during August 2022 in Edze... Read More about sUAS noise characterisation during hovering operations.

Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation (2023)
Journal Article
Lotinga, M. J. B., Ramos-Romero, C., Green, N., & Torija, A. J. (2023). Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation. Current Pollution Reports, 9(4), 724-745. https://doi.org/10.1007/s40726-023-00285-4

Purpose of Review: This review aims to evaluate and discuss the current advances in the measurement and assessment of the noise generated by unconventional aircraft, such as unmanned aircraft systems (UAS) and urban air mobility (UAM) vehicles. Build... Read More about Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation.

On-field measurement for sUAS noise characterization (2023)
Journal Article
Ramos Romero, C., Green, N., Asensio, C., & Torija, A. (2023). On-field measurement for sUAS noise characterization. https://doi.org/10.61782/fa.2023.0248

With the imminent introduction of multi-rotor aircraft systems in airspace and the expectation of their operation near urban areas, noise emissions from this new type of noise sources have become an important research topic, mainly because they h... Read More about On-field measurement for sUAS noise characterization.

On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems (2023)
Journal Article
Ramos-Romero, C., Green, N., Torija, A. J., & Asensio, C. (2023). On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems. Aerospace science and technology, 141, 108537. https://doi.org/10.1016/j.ast.2023.108537

The noise signature of small Unmanned Aerial Systems (sUAS) is highly influenced by specific operating and weather conditions. Accurate noise assessment of sUAS operations requires field noise measurements that capture all the compl... Read More about On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems.

Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review (2023)
Journal Article
Sigcha, L., Borzì, L., Amato, F., Rechichi, I., Ramos-Romero, C., Cárdenas, A., …Olmo, G. (2023). Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review. Expert systems with applications, 229, 120541. https://doi.org/10.1016/j.eswa.2023.120541

Parkinson’s disease (PD) is a neurodegenerative disorder that produces both motor and non-motor complications, degrading the quality of life of PD patients. Over the past two decades, the use of wearable devices in combination with machine learning a... Read More about Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review.

Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems (2023)
Journal Article
Green, N., Ramos-Romero, C., & Torija Martinez, A. (2023). Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems. SAE Technical Papers, https://doi.org/10.4271/2023-01-1108

The sound produced by Unmanned Aerial Systems (known as UAS or Drones) is often considered to be one of the main barriers (alongside privacy and safety concerns) preventing the widespread use of these vehicles in environments where they may be in clo... Read More about Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems.

Urban road surface discrimination by tire-road noise analysis and data clustering (2022)
Journal Article
Ramos Romero, C., Asensio, C., Moreno, R., & de Arcas, G. (2022). Urban road surface discrimination by tire-road noise analysis and data clustering. Sensors, 22(24), 9686. https://doi.org/10.3390/s22249686

The surface condition of roadways has direct consequences on a wide range of processes related to the transportation technology, quality of road facilities, road safety, and traffic noise emissions. Methods developed for detection of road surface con... Read More about Urban road surface discrimination by tire-road noise analysis and data clustering.

Requirements for drone operations to minimise community noise impact (2022)
Journal Article
Ramos Romero, C., Green, N., Roberts, S., Clark, C., & Torija Martinez, A. (2022). Requirements for drone operations to minimise community noise impact. International Journal of Environmental Research and Public Health, 19(15), https://doi.org/10.3390/ijerph19159299

The number of applications for drones under R&D have growth significantly during the 12 last few years, however the wider adoption of these technologies requires ensuring public trust and 13 acceptance. Noise has been identified as one of the key c... Read More about Requirements for drone operations to minimise community noise impact.

Estimation of the noise emissions generated by a single vehicle while driving (2021)
Journal Article
Asensio, C., Pavon, I., Ramos Romero, C., Lopez, J., Pamies, Y., Moreno, D., & de Arcas, G. (2021). Estimation of the noise emissions generated by a single vehicle while driving. Transportation Research Part D: Transport and Environment, 95, https://doi.org/10.1016/j.trd.2021.102865

This article presents a method of calculation that allows us to separate the contribution of a specific vehicle to the overall noise pollution in an urban environment. This method will provide local authorities with new operating models so that the c... Read More about Estimation of the noise emissions generated by a single vehicle while driving.

Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing (2019)
Journal Article
Ramos Romero, C., & Asensio, C. (2019). Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing. International Congress on Acoustics, 7195-7199. https://doi.org/10.18154/RWTH-CONV-238915

A new approach to detect different asphalt defectology based on tyre/road noise analysis by Machine Learning algorithms is proposed. In this way, a probe of concept was carried out to exploit the acoustic signal generated by the tyre-asphalt interact... Read More about Asphalt-surface defects detection, based on tyre/road noise analysis and geo-processing.

Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement (2019)
Journal Article
Ramos Romero, C., Leon-Rios, P., Al-Hadithi, B., Sigcha, L., de Arcas, G., & Asensio, C. (2019). Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement. Measurement, 146, 718-727. https://doi.org/10.1016/j.measurement.2019.06.034

This paper proposes a novel approach to detect the pavement surface deterioration using tyre/road noise produced from a sensorized test-vehicle during a regular driving. The acoustic data have shown to be relevant on automatic asphalt-damage classifi... Read More about Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement.