Essays about: "system measurement and evaluate"
Showing result 31 - 35 of 186 essays containing the words system measurement and evaluate.
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31. Improvements of an Embedded System for Measuring Supended Particles
University essay from Linköpings universitet/Elektroniska Kretsar och SystemAbstract : Particle suspension is a phenomenon when solid particles get trapped in a liquid. This phenomenon is a common occurrence in the water treatment industry. It is typically measured continuously throughout the treatment process to ultimately ensure high water-quality. READ MORE
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32. Impact of power quality on PV performance of grid connected systems
University essay from Högskolan Dalarna/EnergiteknikAbstract : The problem with the implementation of the PV generators is that majority of the UNDP offices are in developing and underdeveloped countries. Majority of these countries experience various problems with the power quality from the national electrical grid. READ MORE
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33. Objektiv rörelseanalys hos mjölkkor med klinisk frambenshälta
University essay from SLU/Dept. of Clinical SciencesAbstract : Hälta hos mjölkkor orsakar smärta, sämre djurvälfärd, nedsatt produktion, direkta och indirekta kostnader och ökad risk för andra sjukdomar. Idag genomförs hältdetektion subjektivt med en visuell bedömning ofta samtidigt som andra arbetsuppgifter och bönderna underskattar oftast sin besättnings prevalens av hälta. READ MORE
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34. Benchmarking VisualInertial Odometry Filterbased Methods for Vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous navigation has the opportunity to make roads safer and help perform search and rescue missions by reducing human error. Odometry methods are essential to allow for autonomous navigation because they estimate how the robot will move based on the available sensors. READ MORE
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35. Online Learning with Sample Selection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In data-driven network and systems engineering, we often train models offline using measurement data collected from networks. Offline learning achieves good results but has drawbacks. For example, model training incurs a high computational cost and the training process takes a long time. READ MORE