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Visar resultat 1 - 5 av 163 uppsatser som matchar ovanstående sökkriterier.

1. 1. Virtual Test Cell : a Real-Time digital twin of an internal combustion engine

   M1-uppsats, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

   Författare :Rasmus Malmqvist; [2024]
   Nyckelord :Virtual Test cell; Digital twin; Software in the loop; Real-time;

   Sammanfattning : As the world is evolving faster and technology gets cheaper and more powerful, simulations are proving to be more and more beneficial. Simulations allow for faster development with less lead time between iterations which means that product versions can be released more often and at less cost. LÄS MER

3. 2. A Case Study on the Limitations of Automated Duplicate Bug Report Detection

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Malte Götharsson; Karl Stahre; [2023-09-26]
   Nyckelord :;

   Sammanfattning : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. LÄS MER

4. 3. Emulation of Network Device Behaviour for Robot Controller Testing

   Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Muhamed Opacin; [2023]
   Nyckelord :emulation; software testing; robotics; industrial robots; computer networks; network protocols; i o devices; network traffic; network traffic replay;

   Sammanfattning : The testing of software for robot controllers has become increasingly difficult as robotic systems become more complex. As the complexity of the systems increases, the number of hardware systems that the robot relies on also grows. LÄS MER

5. 4. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Enzo Alexander Cording; [2023]
   Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

   Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

7. 5. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication

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

   Författare :Vincent Ringström1; Iley Alvarez Funcke; [2023]
   Nyckelord :Sound transcription; Sound translation; AI; Deep learning; Real-time; Language barrier; Concurrency; Ljud transkription; Ljud översättning; AI; Djupinlärning; Real-tid; Språkbarriär; Samtidighet;

   Sammanfattning : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. LÄS MER