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- research-articleMay 2022
Noise Pollution Loss Value Evaluation of Railway Transportation Based on Hedonic Price Method- The Case of Taiyuan City
BIC '22: Proceedings of the 2022 2nd International Conference on Bioinformatics and Intelligent ComputingPages 329–332https://doi.org/10.1145/3523286.3524564Noise pollution damages people's health and brings about value loss at the same time. This paper takes Taiyuan City as the research area, selects railway transportation noise as the research object, estimates the marginal implied price of noise, and then ...
- research-articleOctober 2019
Energy-Accuracy Tradeoff for Efficient Noise Monitoring and Prediction in Working Environments
IoT '19: Proceedings of the 9th International Conference on the Internet of ThingsArticle No.: 14, Pages 1–8https://doi.org/10.1145/3365871.3365885We explore the tradeoff between energy consumption and measurement accuracy for noise monitoring and prediction based on continuously collected data by wireless, energy-constrained IoT nodes. This tradeoff can be controlled by the sampling interval ...
- research-articleMarch 2017
A case study on monitoring and geolocation of noise in urban environments using the internet of things
- Jairo Alejandro Gómez,
- Jesús Talavera,
- Luis Eduardo Tobón,
- María Alejandra Culman,
- Luis A. Quiroz,
- Juan Manuel Aranda,
- Luis Ernesto Garreta
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud ComputingArticle No.: 177, Pages 1–6https://doi.org/10.1145/3018896.3056794This paper presents the development of a system to monitor and geo-reference noise in urban environments using the Internet-of-Things (IoT). The system intends to help control agencies and citizens to monitor noise using smart devices and services ...
- research-articleApril 2016
A crowdsensing approach for mobile learning in acoustics and noise monitoring
- Marco Zappatore,
- Antonella Longo,
- Mario A. Bochicchio,
- Daniele Zappatore,
- Alessandro A. Morrone,
- Gianluca De Mitri
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied ComputingPages 219–224https://doi.org/10.1145/2851613.2851699Novel technologies represent a promising way for boosting learning quality in scientific sectors, by engaging students more effectively into experimental activities. Mobile devices allow increasing learning effectiveness significantly, thanks to their ...