Sökning: "real-time"

Visar resultat 31 - 35 av 3417 uppsatser innehållade ordet real-time.

  1. 31. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Sara Mineur; [2023]
    Nyckelord :Cardiovascular Magnetic resonance Imaging CMR ; Sector Wise Golden-Angle SWIG ;

    Sammanfattning : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. LÄS MER

  3. 32. Utforskning utav Linux roll i att Accelerera Tid till Marknaden för Inbyggda System

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Josua Alexandersson; Jesper Persson; [2023]
    Nyckelord :;

    Sammanfattning : How can Linux reduce the time required for development in embedded systems, and what makes Linux appealing to embedded developers despite the loss in overall control? Through qualitative interviews with industry professionals and a systematic literature review, challenges and benefits of using Linux in embedded systems development were identified and discussed. Three hypotheses were formulated based on recurring topic agreement among the interview subjects: Reduced development time through the use of open-source solutions, struggles with real-time and security requirements, and challenges within troubleshooting and dependency management. LÄS MER

  4. 33. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  5. 34. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Ascard; Farjam Movahedi; [2023]
    Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER

  7. 35. Development of a microfluidic device to study simultaneous crystallization in the LIBs recycling process

    Master-uppsats, KTH/Kemiteknik

    Författare :Shefali Paresh Solanki; [2023]
    Nyckelord :Battery recycling; microfluidics; simultaneous crystallization; simulation; crystal technology; microfluidics experimental setup; Batteriåtervinning; mikrofluidik; simultan kristallisering; simulering; kristallteknologi; mikrofluidikexperimentuppställning;

    Sammanfattning : Återvinning av litiumjonbatterier (LIB) är avgörande på grund av kritiska råmaterialreserver och miljöhänsyn vid kassering. Hydrometallurgisk LIB-återvinning, en framstående industriell teknik, står inför kostnadseffektivitets- och komplexitetsutmaningar. LÄS MER