• DocumentCode
    3461450
  • Title

    Managing and Analysing Big Audio Data for Environmental Monitoring

  • Author

    Jinglan Zhang ; Kai Huang ; Cottman-Fields, Mark ; Truskinger, Anthony ; Roe, Paul ; Shufei Duan ; Xueyan Dong ; Towsey, Michael ; Wimmer, Jason

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    997
  • Lastpage
    1004
  • Abstract
    Environmental monitoring is becoming critical as human activity and climate change place greater pressures on biodiversity, leading to an increasing need for data to make informed decisions. Acoustic sensors can help collect data across large areas for extended periods making them attractive in environmental monitoring. However, managing and analysing large volumes of environmental acoustic data is a great challenge and is consequently hindering the effective utilization of the big dataset collected. This paper presents an overview of our current techniques for collecting, storing and analysing large volumes of acoustic data efficiently, accurately, and cost-effectively.
  • Keywords
    data analysis; environmental monitoring (geophysics); geophysics computing; acoustic sensors; big audio data analysis; big audio data management; biodiversity; climate change; environmental monitoring; human activity; Acoustic sensors; Acoustics; Birds; Environmental monitoring; acoustic data analysis; acoustic sensing; big data management and processing; citizen science; eScience; environmental monitoring; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/CSE.2013.146
  • Filename
    6755327