Sökning: "Små enheter"

Visar resultat 1 - 5 av 147 uppsatser innehållade orden Små enheter.

  1. 1. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices

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

    Författare :Herman Blenneros; [2023]
    Nyckelord :Visual localization and mapping; Runtime-control; Resource-constrained devices; Bildbaserad lokalisering och kartläggning; Realtidsreglering; Resursbegränsade enheter;

    Sammanfattning : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. LÄS MER

  3. 2. Bedöma bondebruk är ingen barnalek - Om skyddsregel för jordbruk i 3 kap. 6 § fastighetsbildningslagen (1970:988)

    Master-uppsats, Lunds universitet/Fastighetsvetenskap

    Författare :Elis Ekholm; [2023]
    Nyckelord :Fastighetsbildning; jordbruksfastighet; jordbruk; bärkraftigt och utvecklat jord-bruk; standardtimmar; arbetstimmar; Technology and Engineering; Law and Political Science;

    Sammanfattning : Master of Science thesis addressing the protection rule for agriculture in the pro-perty formation law, 3 kap. 6 § Fastighetsbildningslag (1970:988). LÄS MER

  4. 3. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Författare :Dario Lo Presti Costantino; [2023]
    Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER

  5. 4. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness

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

    Författare :José Miguel de Almeida Pedro; [2023]
    Nyckelord :SLAM; Robust Estimation; Multi-Device Algorithms; SLAM; Robust uppskattning; Algoritmer för flera enheter;

    Sammanfattning : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. LÄS MER

  7. 5. Improving and Evaluating TRex Traffic Generator through P4 Switches

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

    Författare :Chenming Du; [2023]
    Nyckelord :Traffic Generators; P4 Programmable Switch; TRex; Traffikgeneratorer; P4 Programmerbar Switchar; TRex;

    Sammanfattning : Traffic generators, as an indispensable tool to test devices under test and networking protocols, help researchers to execute performance inspection and optimization. Among all traffic generators, TRex is an open-source, high-performance, and low-cost traffic generator which is built on Data Plane Development Kit (DPDK). LÄS MER