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Performance of Noise Map Service Working in Cloud Computing Environment

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper, a noise map service designated for the user interested in environmental noise is presented. Noise prediction algorithm and source model, developed for creating acoustic maps, are working in the cloud computing environment. In the study, issues related to the noise modelling of sound propagation in urban spaces are discussed with a particular focus on traffic noise. Examples of results obtained through a web application created for that purpose are shown. In addition, these are compared to results obtained from the commercial software simulations based on two road noise prediction models. Moreover, the computing performance of the developed application is investigated and analyzed. In the paper, a flowchart simulating the operation of the noise web-based service is presented showing that the created application is easy to use even for people with little experience in computer technology.
Rocznik
Strony
297--302
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
autor
  • Multimedia Systems Department
autor
  • Multimedia Systems Department
autor
  • Audio Acoustics Laboratory, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
Bibliografia
  • 1. Batko W., Bal-Pyrcz R. (2007), Analysis of stochastic acoustical hazards in environment, Archives of Acoustics, 32, 4 (Supplement), 235–245.
  • 2. City of Gdańsk Authorities (2016), [in Polish] Portal Mapy Akustycznej i Monitoringu Hałasu Miasta Gdańska, http://mapaakustyczna.gdansk.gda.pl/GdanskMakus (accessed March 2016).
  • 3. EEA (European Environment Agency) Technical report (2010), No. 11, Good practice guide on noise exposure and potential health effects, Copenhagen, ISSN 1725–2237.
  • 4. European Directive 2002/49/EC (2002), European Parliament and Council of 25/06/2002 Relating to the Assessment and Management of Environmental Noise”.
  • 5. FHWA (Federal Highway Administration), Highway Traffic and Construction Noise – Regulation and Guidance, http://www.fhwa.dot.gov/environment/noise/regulations and guidance/ (accessed March 2016).
  • 6. Garg N., Vishesh Maji S. (2015), Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement, Archives of Acoustics, 40, 4, 453–467, DOI: 10.1515/aoa-2015-0045.
  • 7. Guarnaccia C. (2013), Advanced Tools for Traffic Noise Modelling and Prediction, WSEAS Transactions on Systems, 12, 2.
  • 8. Kłaczyński M., Wszołek T. (2014), Acoustic Study of REpower MM92 Wind Turbines During Exploitation, Archives of Acoustics, 39, 1, 3–10, DOI: 10.2478/aoa-2014-0001.
  • 9. Kompała J., Lipowczan A. (2007), Efficiency of Noise Reduction by a Road Speed Bump, Archives of Acoustics, 32, 3, 631–642.
  • 10. Kucharski R. (2007), Complex Noise Indicator for Noise Mapping Based on the EU Working Groups’ and Polish Results of the Annoyance Investigations, Archives of Acoustics, 32, 2, 293–302.
  • 11. Łopatka K., Kotus J., Czyżewski A. (2011), Application of Vector Sensors to Acoustic Surveillance of a Public Interior Space, Archives of Acoustics, 36, 4, 851–860.
  • 12. Marciniuk K., Szczodrak M., Kostek B. (2015), Wyznaczanie map hałasu z wykorzystaniem chmury obliczeniowej [in Polish], 16th International Symposium on Sound Engineering and Tonmeistering, Wrocław, 8–10.10.2015.
  • 13. Ministry of Science and Higher Education [in Polish], Program Rozwoju Infrastruktury Informatycznej Nauki na lata 2007–2013, Ministerstwo Nauki i Szkolnictwa Wyższego, 28 czerwca 2007 r.
  • 14. Ministry of the Environemnt [in Polish], Dz.U. 07.120.826 Rozporządzenie Ministra Środowiska z dnia 14 czerwca 2007 r. w sprawie dopuszczalnych poziomów hałasu w środowisku.
  • 15. Mioduszewski P., Ejsmont J. A., Grabowski J., Karpinski D. (2011), Noise map validation by continuous noise monitoring, Applied Acoustics, 72, 8, 582–589.
  • 16. Quartieri J., Mastorakis N. E., Iannone G., Guarnaccia C., D’Ambrosio S., Troisi A., Lenza T. L. L. (2009), A Review of Traffic Noise Predictive Models, Recent Advances in Applied and Theoretical Mechanics, 5th WSEAS International Conference on Applied and Theoretical Mechanics (MECHANICS ’09) Puerto De La Cruz, Tenerife, Canary Islands, Spain December 14–16, 72–80.
  • 17. Salomons E., Van Maercke D., Defrance J., De Roo F. (2011), The Harmonoise sound propagation model, Acta Acustica united with Acustica, 97, 62–74.
  • 18. Sørensen M. (2010), Road traffic noise and stroke: a prospective cohort study, European Heart Journal, http://cordis.europa.eu/news/rcn/33064 en.pdf.
  • 19. Szczodrak, M., Czyżewski, A., Kotus, J. (2008), Investigation of the Road Noise Source Employing an Automatic Noise Monitoring Station, Archives of Acoustics, 33, 4 (Supplement), 77–83.
  • 20. Szczodrak M., Czyżewski A., Kotus J., Kostek B. (2014), Frequently updated noise threat maps created with use of supercomputing grid, Noise Mapping, 1, 1, 32–39.
  • 21. Shehap H., Shawky A., El-Basheer T. M. (2016), Study and Assessment of Low Frequency Noise in Occupational Settings, Archives of Acoustics, 41, 1, 151–160, DOI: 10.1515/aoa-2016-0015.
  • 22. Wetlesen T. (2013), Cloud computing for noise monitoring, [in:] INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Institute of Noise Control Engineering, pp. 2987–2982.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-435f15a6-65c3-49c0-a10d-124fa20ddd2e
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