Searched for: subject:"filters"
(1 - 7 of 7)
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van Groeningen, Tom (author)
When the re brigade arrives at a burning building, it is of vital importance that people who are still inside can quickly be found. In this thesis we contribute to an ultrasonic sound sensor for human presence detection in smoke-lled spaces. This type of sensor could assist the re brigade when evacuating a large building by directing them to the...
master thesis 2018
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Janssen, Walter (author)
In this MSc. thesis steady-state disaggregation methods for the Non-Intrusive Load Monitoring are researched. The main target is to find methods that have the potential to be practically applicable. These methods are characterized by the fact that they use data that is collected by smart meters, since smart meters are more and more the standard...
master thesis 2018
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Ammiwala, Huzefa (author)
A petroleum production system is generally modelled based on the concept of nodal analysis, where the entire system is broken down into discrete elements such as near-well bore, tubing, surface choke and flow line. Operating flow rates and pressures can be estimated with a nodal analysis procedure by calculation of the intersection of...
master thesis 2017
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Carpaij, Jonas (author), Chandi, Mitchel (author)

bachelor thesis 2017
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Kandasamy, S. (author)
The Simultaneous Localization and Mapping (SLAM) problem for mobile robots aims at consistently building a map of an unknown environment while simultaneously determining its position within this map. From a control-theoretic viewpoint, it is somehow analogous to simultaneously estimating the states and output map of the system. In the robotics...
master thesis 2015
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Groot, S.R. (author)
Automatic detection of humans is an important part of many security and surveillance applications. Automatic processing diminishes the effect of human errors on the detection and allows extensive analysis after detection. Radar has certain advantages for human detection because of its all-weather and day and night capability, as well the fact it...
master thesis 2011
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Chitchian, M.M. (author)
The particle filter is a Bayesian estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian systems. This greater filtering accuracy, however, comes at the price of increased computational complexity which limits their practical use for real-time applications...
master thesis 2011
Searched for: subject:"filters"
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