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Large-Scale Sensor Network Analysis: Applications in Structural Health Monitoring
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Author(s): Joaquin Vanschoren (University of Leiden, The Netherlands), Ugo Vespier (University of Leiden, The Netherlands), Shengfa Miao (University of Leiden, The Netherlands), Marvin Meeng (University of Leiden, The Netherlands), Ricardo Cachucho (University of Leiden, The Netherlands)and Arno Knobbe (University of Leiden, The Netherlands)
Copyright: 2014
Pages: 34
Source title:
Big Data Management, Technologies, and Applications
Source Author(s)/Editor(s): Wen-Chen Hu (University of North Dakota, USA)and Naima Kaabouch (University of North Dakota, USA)
DOI: 10.4018/978-1-4666-4699-5.ch013
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Abstract
Sensors are increasingly being used to monitor the world around us. They measure movements of structures such as bridges, windmills, and plane wings, human’s vital signs, atmospheric conditions, and fluctuations in power and water networks. In many cases, this results in large networks with different types of sensors, generating impressive amounts of data. As the volume and complexity of data increases, their effective use becomes more challenging, and novel solutions are needed both on a technical as well as a scientific level. Founded on several real-world applications, this chapter discusses the challenges involved in large-scale sensor data analysis and describes practical solutions to address them. Due to the sheer size of the data and the large amount of computation involved, these are clearly “Big Data” applications.
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