Essays about: "thesis in computer networks"

Showing result 1 - 5 of 327 essays containing the words thesis in computer networks.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  2. 2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

  3. 3. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    University essay from Linköpings universitet/Datorseende

    Author : Daniel Bladh; [2023]
    Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Abstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE

  4. 4. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Paul Molloy; [2023]
    Keywords : Privacy; Code Generation; Vehicle-to-infrastructure; Vehicular ad hoc Networks; Standardization; Remote Procedure Calls; Safety; Integritet; Kodgenerering; Fordon-till-infrastruktur; Ad hoc-nät för Fordon; Standardisering; Samtal om fjärrprocedur; Säkerhet;

    Abstract : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. READ MORE

  5. 5. Emulation of Network Device Behaviour for Robot Controller Testing

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

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

    Abstract : 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. READ MORE