Sökning: "large-scale network"

Visar resultat 21 - 25 av 218 uppsatser innehållade orden large-scale network.

  1. 21. Power-to-X : En del av framtidens elnät

    Uppsats för yrkesexamina på grundnivå, Mittuniversitetet/Institutionen för elektronikkonstruktion

    Författare :Tina Johansson; [2022]
    Nyckelord :;

    Sammanfattning : För att elkraftsystemet ska fungera måste det finnas en balans mellan produktion och konsumtion av el. Med en ökande andel intermittenta energikällor såsom vind-och solkraft vars produktion inte går att planera behövs en lösning för att kunna lagra energin till när behovet uppstår. LÄS MER

  3. 22. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Seamus Doyle; Gustav Nilsson; [2022]
    Nyckelord :LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Sammanfattning : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. LÄS MER

  4. 23. Performance Evaluation of Serverless Edge Computing for AI Applications : Implementation, evaluation and modeling of an object-detection application running on a serverless architecture implemented with Kubernetes

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

    Författare :Zihan Wang; [2022]
    Nyckelord :Edge computing; Serverless architecture; Artificial Intelligence; Object detection; Docker; Kubernetes; Queueing theory; Edge computing; Serverlös arkitektur; Artificiell Intelligens; Objektdetektering; Docker; Kubernetes; Queuing theory;

    Sammanfattning : Serverless edge computing is a distributed network and computing system in which the data is processed at the edge of the network based on serverless architecture. It can provide large-scale computing and storage resources with low latency, which are very useful in AI applications such as object detection. LÄS MER

  5. 24. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Lasse Harkort; [2022]
    Nyckelord :dissolved organic carbon; machine learning; remote sensing; inland waters; water quality; open source data; Earth and Environmental Sciences;

    Sammanfattning : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. LÄS MER

  7. 25. Utilization of waste heat from hydrogen production : A case study on the Botnia Link H2 Project in Luleå, Sweden

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Författare :Andrea Miljanovic; Fredrik Jonsson; [2022]
    Nyckelord :PEM electrolyzer; alkaline electrolyzer; waste heat; district heating; LCOH;

    Sammanfattning : The global hydrogen demand is steadily increasing, and one way of accelerating the green hydrogen supply is to stimulate the green hydrogen economy. Utilization of waste heat from hydrogen production can increase the profitability of produced green hydrogen. LÄS MER