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Showing result 1 - 5 of 38 essays matching the above criteria.
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1. Estimating Ambient Temperature using Internal Sensors and Thermal Modelling in Mobile Phones
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis studies the possibility of estimating the ambient temperature around a mobile phone using its internal temperature sensors. The thesis aims to develop and evaluate ambient temperature models that use internal temperature sensors within the device and, from a manufacturer’s perspective, investigate if the models for ambient temperature can be enhanced by tailoring them to the internals of specific devices. READ MORE
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2. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE
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3. Keystroke Classification of Motion Sensor Data - An LSTM Approach
University essay from Lunds universitet/Matematisk statistikAbstract : With mobile phones often being used to type sensitive information, it is important that they remain secure and leak no information. One conceivable channel for information leakage, though, is the motion sensors accelerometer and gyroscope, sensors that require no permission to be used by an app. READ MORE
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4. Adaptive Beam Management in 5G-NR: A Machine Learning Perspective
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this rapid era of technology, speed of communication has become an important factor. To overcome this challenge, 5G/NR technology is being explored. One of the ways of doing this is by using the so called millimeter wave spectrum. READ MORE
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5. Machine Learning Technique for Beam Management in 5G NR RAN at mmWave Frequencies
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Ericsson has an interest in investigating if the fast-growing concept known as machine learning can be applied to beam management, in a 5G NR environment using mmWave frequencies. Because of the high path-loss at mmWave frequencies and high throughput demands of 5G NR systems it is crucial to the UE to always stay connected to the most suitable beam, to provide highest possible throughput. READ MORE
