Sökning: "Computer Hardware"
Visar resultat 1 - 5 av 489 uppsatser innehållade orden Computer Hardware.
1. Musikproduktion bortom skärmen – En studie i musikproduktion med hårdvarusynthar från ett datorfokuserat perspektiv
Kandidat-uppsats, Göteborgs universitet/Högskolan för scen och musikSammanfattning : I detta arbete ämnar författaren att utvärdera och ifrågasätta sin datorfokuserade arbetsmetod, d.v.s. att jobba främst med mjukvara, för att göra musik genom att utforska en hårdvarusynth, en faktisk fysisk synth. LÄS MER
2. Constructing a Modular System for Storing and Serving Data from Quantum Computers
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Quantum computers are computing devices with the potential to advance multiple scientific and industrial fields. One of the actors working on the advancement of quantum computers is theWallenberg Centre for Quantum Technology (WACQT). LÄS MER
3. 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
4. The Winograd Convolution Method
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : The convolution operation is a powerful tool which is widely used in many disciplines.Lately is has seen much use in the area of computer vision, particularly with convolutionalneural networks. For these use cases, convolutions need to be run repeatedly many timeswhich necessitates specialized hardware. 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