Essays about: "Likriktare"
Showing result 1 - 5 of 6 essays containing the word Likriktare.
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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. Antenna as a sensor for sensing available LTE networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis primarily deals with the concept of designing an antenna based device to harvest energy from Radio Frequency (RF) and using the harvested energy to sense the available Long Term Evolution (LTE) network in order for the Internet of Things (IoT) devices to connect to the network for the purpose of transmitting and receiving data. Secondarily the importance of this project is targeting how to conserve battery power in an IoT device and extend it’s lifetime. READ MORE
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3. Energy harvesting from ambient WiFi energy : A method of harvesting and measuring ambient WiFi energy
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The aim of this thesis was to investigate the question of how to harvest RF energy and if we can harvest enough RF energy for it to be useful in an application. It is aimed towards sensor node applications, commonly used in a typical office environment. The WiFi band was chosen since it is omnipresent in the same environment. READ MORE
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4. Power Electronic Stages for a TFPMSM in Wave Power Applications
University essay from KTH/Skolan för elektro- och systemteknik (EES)Abstract : Direct drive wave energy conversion systems have been identified as a potentially major contributor to the world’s energy demands, forecasting shares of up to 25 % of the energy mix. Anders Hagnestål conducts research at the Royal Institute of Technology where a novel linear transverse flux permanent magnet generator is developed. READ MORE
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5. The Effect of Batch Normalization on Deep Convolutional Neural Networks
University essay from KTH/Centrum för Autonoma System, CASAbstract : Batch normalization is a recently popularized method for accelerating the training of deep feed-forward neural networks. Apart from speed improvements, the technique reportedly enables the use of higher learning rates, less careful parameter initialization, and saturating nonlinearities. READ MORE
