Sökning: "Hardware Implementation"

Visar resultat 1 - 5 av 859 uppsatser innehållade orden Hardware Implementation.

1. 1. From Investment to Payoff: Exploring the CostImplications of AI Adoption in InventoryManagement Across the Different Phases

   Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

   Författare :bashir Kattan; Lilas Sheekh Kalil; Linda Offor-Ugwuka; [2024]
   Nyckelord :;

   Sammanfattning : Background and problem discussion: In recent years, there has been increasing recognition ofArtificial intelligence (AI) and its benefits in various sectors, including inventory management,which is a significant component of company expenses. However, adopting AI in inventorymanagement also comes with challenges and expenses before businesses can fully reap itsbenefits. LÄS MER

3. 2. FPGA Based Control of Multiple Electric Machines for Marine Propulsion Systems

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Simon Weideskog; [2024]
   Nyckelord :FPGA; Field Oriented Control; BLDC; SVPWM; SMO; Electric Drives; Electric Machines; Sliding Mode Observer; Marine Propulsion; Multiple Machines; Boat Motor; Fältorienterad styrning; marin framdrivning; elektriska drivsystem; elmaskiner; flertal maskiner; båtmotor;

   Sammanfattning : This master thesis addresses the control of electric propulsion motors in a marine context. The focus lies mainly on the implementation of field oriented control (FOC) in a field programmable gate array (FPGA). The hypothesis is that FPGAs provide performance advantages over microcontroller-based control solutions by enabling parallel processing. LÄS MER

4. 3. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

5. 4. A Comparative Investigation of Classical Random and Quantum Walks in Terms of Algorithms, Implementation, and Characteristics

   Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Naoki Moriya; [2024]
   Nyckelord :Qunatum computing; quantum walk;

   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

7. 5. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Jonathan Benitez; [2023]
   Nyckelord :microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

   Sammanfattning : 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