Essays about: "train low"
Showing result 1 - 5 of 159 essays containing the words train low.
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1. Development and Analysis of Small Signal DQ-Frame Model for Low Frequency Stability of Train Converters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to meet the increasing demand for sustainable transportation, trains need to run with tighter schedules, more departures and more trains in depot. Multiple trains in depot has been linked to low frequency instability at many locations around the world. READ MORE
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2. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
University essay from Lunds universitet/Fysiska institutionenAbstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE
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3. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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4. Reducing cost and CO2 emissions in the gasoline to electric vehicle fleet transition
University essay from Uppsala universitet/ElektricitetsläraAbstract : If you buy a new electric car today it will take on average about ten years for you to start saving money compared to just continue driving your old gasoline car. It will also take about 4 years until you start saving carbon dioxide emissions, both of this is because of new production costs and emissions. READ MORE
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5. Club Head Tracking : Visualizing the Golf Swing with Machine Learning
University essay from Uppsala universitet/Signaler och systemAbstract : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. READ MORE