Sökning: "accelerators."
Visar resultat 1 - 5 av 167 uppsatser innehållade ordet accelerators..
1. Prospects for a Free Electron Laser at the FemtoMAX Beamline
Kandidat-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : A Free Electron Laser (FEL), is a device that generates extremely coherent and brilliant radiation using electrons accelerated to relativistic velocities in a particle accelerator. The process utilises similar equipment to what is used at a synchrotron source like MAX IV, but in addition there is an interaction between the relativistic electron beam and the generated radiation to achieve an exponential growth in radiation intensity. LÄS MER
2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER
3. Electric Leisure Boats: Enablers and Barriers : A case study of leisure boat manufacturers
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Combustion engines and fossil fuels have traditionally driven motor-powered leisure boats. Electrification is quickly transforming the transportation sector, but electric boats are rare. The primary drawback of the electric boat is the high production cost. LÄS MER
4. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER
5. Accelerating Regions: How Accelerators Adapt to Institutional, Social, and Spatial Contexts
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : Given the calls to examine accelerators across different regions and contexts, we ask the research question: How do accelerators adapt to institutional, social, and spatial constraints of emerging and established ecosystems? With this research question, we conduct qualitative research to understand how two different accelerators, one located in Skåne, Sweden and another located in Dhaka, Bangladesh, are affected and shaped by their contexts. These cases were deliberately selected to contrast the regional constraints stemming from established and emerging regions (Eisenhardt and Gaebner, 2007). LÄS MER