Sökning: "Open-Source Software"
Visar resultat 1 - 5 av 593 uppsatser innehållade orden Open-Source Software.
1. Multi-Parameter Modelling of Surface Electromyography Data
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER
2. Exploring the Dynamics of Software Bill of Materials (SBOMs) and Security Integration in Open Source Projects
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Background.The rapid expansion of open-source software has introduced significant security challenges, particularly concerning supply chain attacks. Software supply chain attacks, such as the NotPetya attack, have underscored the critical need for robust security measures. LÄS MER
3. Aerodynamics simulations of Scania trucks using OpenFOAM
Master-uppsats, KTH/Teknisk mekanikSammanfattning : In the field of heavy-duty vehicles, fuel efficiency and environmental protection are factors that need to be focused on, while the aerodynamic drag generated during vehicle travelling is one of the most influential aspects. This thesis delves into the aerodynamic simulation of Scania trucks using the open-source Computational Fluid Dynamics (CFD) tool, OpenFOAM v2206. LÄS MER
4. Handling Third-Party Component Licenses:A Case Study in a Swedish Company : How well do existing license management tools detect potentially unsafe third-party component licenses?
Kandidat-uppsats, Högskolan Dalarna/InformatikSammanfattning : Modern software development relies heavily on third-party components, which are pre-built software modules developed by other organisations and can be either open-source or commercial. These components serve as building blocks for developers to create complex applications more efficiently. 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