Sökning: "Henrik Fast"
Visar resultat 1 - 5 av 87 uppsatser innehållade orden Henrik Fast.
1. Här ska det byggas! : En studie om personalen inom Försvarsmaktens infrastrukturområde
Kandidat-uppsats, Högskolan i HalmstadSammanfattning : It is quick to dismantle, but takes a long time to build up. Now that the Swedish Armed Forces are growing again, new units have been established in several locations in Sweden. The units in Arvidsjaur, Gothenburg and Uppsala are established at garrisons where there is already military activity. LÄS MER
2. Determining whether the Hövding bicycle airbag is secure against cyber attacks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis is about cyber-security and penetration testing. More specifically it concerns penetration testing of a Hövding bicycle airbag which is a smart alternative to a traditional bicycle helmet. The thesis focuses on exploiting Bluetooth Low Energy, firmware analysis and reverse engineering. LÄS MER
3. Anomaly detection on a hybrid kinematic machine
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Detecting anomalies is a promising and current research subject that can have useful applications, for example in the field of robotics. In this thesis, anomaly detection is investigated using a hybrid kinematic machine, which is a pick-and-place robot that excels at moving objects at high speed and with great reach. LÄS MER
4. Med fast blick mot öst : En kvalitativ textanalys om Sveriges försvars och säkerhetspolitik gentemot Ryssland
Kandidat-uppsats, Karlstads universitet/Institutionen för samhälls- och kulturvetenskap (from 2013)Sammanfattning : .... LÄS MER
5. Jet Printing Quality ImprovementThrough Anomaly Detection UsingMachine Learning
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This case study examined emitted sound and actuated piezoelectric current in a solderpaste jet printing machine to conclude whether quality degradation could be detected with an autoencoder machine learning model. An autoencoder was used to detect anomalies in non-realtime that were defined asa diameter drift with an averaging window from a target diameter. LÄS MER