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Remote monitoring of our environment: A data fusion problem

Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2014) Remote monitoring of our environment: A data fusion problem. In: International Workshop on Environmental Multimedia Retrieval 2014 EMR 2014, April 1st, Glasgow, UK. In Conjunction with ACM Conference on Multimedia Retrieval (ICMR) 2014, 1 Apr 2014, Glasgow, Scotland.

Abstract
Remote monitoring of our environment can be done, even in the harshest conditions, using a combination of sensors. The health and wellness of a river can be monitored by measuring water depth, turbidity, pH, conductivity, and nutrient content (nitrogen and phosphate), some of these being cheap and off-the-shelf, others being more expensive, and all suffering from problems of calibration and biofouling. Similarly for a coastal area like a bay, we can measure sea surface temperature, wave height, chlorophyll content and water composition with the same issues of calibration and biofouling. Each of the sensors we use to monitor environments, especially water-based environments, produce streams of data values which need to be woven together in order to get an holistic overview of the health of the area being monitored. In this presentation I will describe how environmental monitoring using multiple sensor streams is really a problem of data fusion where each of the incoming data streams has accuracy and reliability issues. I will also describe how we have developed, and deployed, a trust and reputation framework to address these issues and how we have put this into effect in remote monitoring of two coastal regions.
Metadata
Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Workshop
Refereed:No
Additional Information:additional information alan.smeaton@dcu.ie
Uncontrolled Keywords:Environmental Monitoring
Subjects:Computer Science > Machine learning
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:science
ID Code:19892
Deposited On:02 Apr 2014 10:05 by Alan Smeaton . Last Modified 31 Oct 2018 11:57
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