Essays about: "Node networks"

Showing result 16 - 20 of 285 essays containing the words Node networks.

  1. 16. The Applicability and Scalability of Graph Neural Networks on Combinatorial Optimization

    University essay from KTH/Matematik (Avd.)

    Author : Peder Hårderup; [2023]
    Keywords : applied mathematics; combinatorial optimization; machine learning; graph neural networks; scalability; tillämpad matematik; kombinatorisk optimering; maskininlärning; grafiska neurala nätverk; skalbarhet;

    Abstract : This master's thesis investigates the application of Graph Neural Networks (GNNs) to address scalability challenges in combinatorial optimization, with a primary focus on the minimum Total Dominating set Problem (TDP) and additionally the related Carrier Scheduling Problem (CSP) in networks of Internet of Things. The research identifies the NP-hard nature of these problems as a fundamental challenge and addresses how to improve predictions on input graphs of sizes much larger than seen during training phase. READ MORE

  3. 17. Practical Analysis of the Giskard Consensus Protoco

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

    Author : Leon Sandner; [2023]
    Keywords : Distributed Ledger; Blockchain; Consensus Protocol; Giskard; Hyperledger Sawtooth; Distribuerade Huvudbok; Blockchain; Konsensus; Giskard; Hyperledger Sawtooth;

    Abstract : Consensus protocols are the core of modern blockchain systems, such as the Bitcoin, Ethereum, and Algorand networks. Thanks to these protocols, participants in a blockchain network can reach consensus on which blocks to add to a blockchain, to have a consistent chain of blocks in the whole network. READ MORE

  4. 18. Fault Tolerant Stabilizability in Multihop Control Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Rana Faheem Iftikhar; [2023]
    Keywords : wireless networked control systems; Fault detection and isolation; Multihop control networks; WirelessHART; IT security; relay nodes failure; Design Wireless sensor network;

    Abstract : The integration of control systems with wireless communication networks has gainedsignificant popularity, leading to the emergence of wireless networked control systems(WNCS). WNCS comprises wireless devices such as sensors, actuators, andcontrollers that work together to ensure system stabilizability. READ MORE

  5. 19. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Author : Isabella Luppi; [2023]
    Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE

  6. 20. Impact of Central Nodes in Information Propagation over Graphs

    University essay from Lunds universitet/Matematisk statistik

    Author : Oskar Mellegård; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : There are many systems which can be represented as graphs, to say the least the networks in which we communicate with each other. Thorough understanding of graph structures enables better predictions of the dynamics in real life networks, such as the spreading of a disease in a community or failure propagation in a system. READ MORE