Essays about: "thesis for computing device"
Showing result 1 - 5 of 79 essays containing the words thesis for computing device.
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1. Optical Communication using Nanowires and Molecular Memory Systems
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikAbstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE
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2. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. READ MORE
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3. Profile Based Access Control Model Using JSON Web Tokens
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Currently at Axis, a local role-based access control system is used in devices, which forces the user credentials to be directly installed on the individual devices and the limited selection of roles does not allow for fine-grained access rights. This creates an administrative nightmare in a large scale network and leads to elevated privileges. READ MORE
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4. Server-side factor graph optimization for on-manifold pre-integration in IoT sensors
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : State and specifically location estimation is a core concept in automation and is a well-researched field. One such estimation technique is Moving Horizon Estimation (MHE). In this thesis, the MHE variant single-shooting estimation will estimate the location and velocity of a moving object. READ MORE
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5. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE