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Visar resultat 1 - 5 av 164 uppsatser som matchar ovanstående sökkriterier.
1. Ready, set, regenerate! : A design study about affecting driver behaviours through gamification elements.
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The automotive industry plays a significant role in global CO2 emissions. A transition towards electric vehicles is part of the solution to lower CO2 emissions. LÄS MER
2. Mapping of IPM machine efficiency and Noise Vibration Harshness : An investigation into trade-offs with respect to efficiency and Noise Vibration Harshness
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Due to the recent shift towards electrification, electric machines has become a prominent option to be used in vehicle applications. Much effort is spent in the development process of these machines to make optimizations in order to improve the performance aspects of the machine. LÄS MER
3. SUPPORTING TIMING ANALYSIS OF THE NEXT-GENERATION CONTROLLER AREA NETWORK
Magister-uppsats, Mälardalens universitet/Inbyggda systemSammanfattning : Controller Area Network (CAN) is a communication bus designed in the 90s to make simple androbust in-vehicle networks. However, as vehicles are becoming more complex, higher performanceCAN protocols were introduced to manage the expanding volumes of real-time data and more strictsafety requirements. LÄS MER
4. Jailbreaking av personbilar; hur ser de digitaliserade fordonens framtid ut? : En framtidsstudie
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Denna kandidatuppsats utforskar framtiden för jailbreaking i det svenska samhället och de risker som är förknippade med att utföra jailbreak på personbilar. Rapporten presenterar välförankrade scenarion för ämnets framtid och hur det kan existera inom olika scenarier. LÄS MER
5. Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. LÄS MER