Sökning: "Task Splitting"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden Task Splitting.

  1. 1. Development of CAD Models for Large Silencer Platforms Using Design Automation

    Master-uppsats, Linköpings universitet/Produktrealisering

    Författare :Mahim Kai; Balagangadar Thilakar Arumugam; [2023]
    Nyckelord :Design Automation; Silencer; CFD; Extraction;

    Sammanfattning : Scania is known as a front-runner in the development of power trains for heavy vehicles, marine, and general industrial applications. As the regulations on emissions for combustion engine vehicles are getting tougher with increasing awareness on sustainable solutions and reducing environmental impact, the goal at Scania is to develop combustion engines to achieve low-pollutant emissions whilst achieving higher efficiency. LÄS MER

  3. 2. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

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

    Författare :Mattia Sartori; [2023]
    Nyckelord :Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

    Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER

  4. 3. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  5. 4. A Proposal and Implementation of a Novel Architecture Model for Future IoT Applications : With focus on fog computing

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Viktor Andersson; [2022]
    Nyckelord :Internet of Things; Fog computing; Cloud computing; Mist computing; Distributed Systems;

    Sammanfattning : The number of IoT devices and their respective data is increasing for each day impacting the traditional architecture model of solely using the cloud for processing and storage in a negative way. This model may therefore need a supporting model to alleviate the different challenges for future IoT applications. LÄS MER

  7. 5. DeepMACSS : Deep Modular Analyzer for Creating Semantics and generate code from Sketch

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :David Eriksson; [2022]
    Nyckelord :Artificial Intelligence; Deep learning; Machine learning; Code generation; Automation;

    Sammanfattning : Scientific areas such as artificial intelligence have exploded in popularity and more advanced techniques such as deep learning has been applied in various areas in order to automate tasks. As many software developers know creating prototypes can both be daunting and very time consuming. LÄS MER