Sökning: "Algorithms Hardware"
Visar resultat 1 - 5 av 377 uppsatser innehållade orden Algorithms Hardware.
1. A Comparative Investigation of Classical Random and Quantum Walks in Terms of Algorithms, Implementation, and Characteristics
Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : In recent years, there has been a significant development in high performance computing, driven by advances in hardware and software technology. The performance of the computers to the present has improved in accordance with Moore’s law, on the other hand, it seems to be reaching the limits in the near future. LÄS MER
2. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
3. Difference Between Memory-based Storage and Register-based Storage on FPGAs
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Memory-based storage and register-based storage are commonly used storagetypes in fpgas. This thesis aims to build up the architecture of memory-basedstorage and register-based storage, implement the corresponding methods, compare the difference between them and determine which kind of storage workswell under different circumstances. LÄS MER
4. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER
5. 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