Essays about: "Computer systems and networks"

Showing result 1 - 5 of 148 essays containing the words Computer systems and 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

  3. 2. Mellanrum: Towards an Entangled Audiovisual Practice

    University essay from Göteborgs universitet/Högskolan för scen och musik

    Author : Julius Norrbom; [2023-01-23]
    Keywords : audiovisual; generative art; generative music; modular synthesizer; electronic music; systems; networks;

    Abstract : This artistic research project is a document of an entangled audiovisual practice in progress. With a generative approach and thinking in systems applied to modular synthesizers and procedural computer graphics the aim is to blur the line between the process of generating sounding material and the process of generating visual material. READ MORE

  4. 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

  5. 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

  6. 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