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Showing result 21 - 25 of 80 essays matching the above criteria.
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21. Supervision : Object motion interpretation using hyperdimensional computing based on object detection run on the edge
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis demonstrates a technique for developing efficient applications interpreting spacial deep learning output using Hyper Dimensional Computing (HDC), also known as Vector Symbolic Architecture (VSA). As a part of the application demonstration, a novel preprocessing technique for motion using state machines and spacial semantic pointers will be explained. READ MORE
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22. Real-time industrial systems anomaly detection with on-edge Tiny Machine Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Embedded system such as microcontrollers has become more powerful and cheaper during the past couple of years. This has led to more and more development of on-edge applications, one of which is anomaly detection using machine learning. READ MORE
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23. Blackhole Attack Detection in Low-Power IoT Mesh Networks Using Machine Learning Algorithms
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Low-Power Lossy Networks (LLNs) are a type of Internet of Things (IoT) meshnetwork that collaboratively interact and perform various tasks autonomously. TheRouting Protocol for Low-power and Lossy Network (RPL) is the most used rout-ing protocol for LLNs. READ MORE
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24. Material decomposition using a photon counting X-ray detector in low energy range
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Material decomposition in X-ray imaging is used to separate different materials or elements in an image and to quantify their respective concentration. The material decomposition and quantification are made possible by the dependency of attenuation on the attenuating material and photon energy. READ MORE
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25. Smart components : Creating a competitive edge through smart connected drive train on mining machines
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Major drivetrain components of the Epiroc machines like axles, gearboxes, transmission, torqueconverter, clutch, and bearings are critical components which are focused upon in this thesis. Failure of these major component results in breakdown of the vehicle and if early fault detection is not existing, then this causes engineers and technicians to spend a substantial amount of time to identify the root cause of the failure. READ MORE