Search for dissertations about: "central monitoring system thesis"
Showing result 1 - 5 of 95 swedish dissertations containing the words central monitoring system thesis.
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1. Energy Efficient Wireless Sensor Node Architecture for Data and Computation Intensive Applications
Abstract : Wireless Sensor Networks (WSNs), in addition to enabling monitoring solutions for numerous new applications areas, have gained huge popularity as a cost-effective, dynamically scalable, easy to deploy and maintainable alternatives to conventional infrastructure-based monitoring solutions.A WSN consists of spatially distributed autonomous wireless sensor nodes that measure desired physical phenomena and operate in a collaborative manner to relay the acquired information wirelessly to a central location. READ MORE
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2. Laser Remote Sensing for Environmental Monitoring
Abstract : This thesis studies the techniques of laser remote sensing and their applications in environmental monitoring, as documented in several published papers. The environment where the human being live is degrading with an accelerating speed. READ MORE
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3. Structural health monitoring using modern sensor technology : long-term monitoring of the New Årsta Railway Bridge
Abstract : Structural Health Monitoring (SHM) is a helpful tool for engineers in order to control and verify the structural behaviour. SHM also guides the engineers and owners of structures in decision making concerning the maintenance, economy and safety of structures. READ MORE
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4. Structural System-Level Testing of Embedded Real-Time Systems
Abstract : People make mistakes. Software engineers are no exception to this fact. When software engineers make mistakes, these manifest in the form of buggy software - a major problem in today's industry. READ MORE
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5. Unsupervised feature learning applied to condition monitoring
Abstract : Improving the reliability and efficiency of rotating machinery are central problems in many application domains, such as energy production and transportation. This requires efficient condition monitoring methods, including analytics needed to predict and detect faults and manage the high volume and velocity of data. READ MORE