Abstract
The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.
| Original language | English |
|---|---|
| Title of host publication | EATIS '22 |
| Subtitle of host publication | Proceedings of the 11th Euro-American Conference on Telematics and Information Systems |
| Publisher | Association for Computing Machinery |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450397391 |
| DOIs | |
| Publication status | Published - 1 Jun 2022 |
| Event | 11th Euro-American Conference on Telematics and Information Systems, EATIS 2022 - Aveiro, Portugal Duration: 1 Jun 2022 → 3 Jun 2022 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 11th Euro-American Conference on Telematics and Information Systems, EATIS 2022 |
|---|---|
| Country/Territory | Portugal |
| City | Aveiro |
| Period | 1/06/22 → 3/06/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- EDGE
- IoT
- Matlab
- psycho-acoustics
- tonality
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