Details

Autor(en) / Beteiligte

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

Titel

Managing and Analysing Big Audio Data for Environmental Monitoring

Ist Teil von

• 2013 IEEE 16th International Conference on Computational Science and Engineering, 2013, p.997-1004

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEL

Beschreibungen/Notizen

• 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.