Essays about: "First In First Out FIFO"

Showing result 1 - 5 of 20 essays containing the words First In First Out FIFO.

  1. 1. Analysis of Flow Prolongation Using Graph Neural Network in FIFO Multiplexing System

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

    Author : Weiran Wang; [2023]
    Keywords : Network Calculus; Flow Prolongation; Graph Neural Network; Fast Gradient Sign Method; Delay Bound; Nätverkskalkyl; Flödesförlängning; Graph Neural Network; Fast Gradient Sign Method; Fördröjningsgräns;

    Abstract : Network Calculus views a network system as a queuing framework and provides a series of mathematical functions for finding an upper bound of an end-to-end delay. It is crucial for the design of networks and applications with a hard delay guarantee, such as the emerging Time Sensitive Network. READ MORE

  2. 2. Discrete Event Simulation of the Paint shop at VBG Truck Equipment : A method for Work shift Optimization and Balanced Production flow

    University essay from Högskolan Väst/Institutionen för ingenjörsvetenskap

    Author : Athira Ashok Kumar Prasanna Kumari; [2022]
    Keywords : Discrete Event Simulation; Work shifts; Bottlenecks; Production flow; simulation mode;

    Abstract : The background for this thesis work emanates from a desire to drive the production of the VBG Truck Equipment factory in Vänersborg a step further to catch up with the Industry 4.0 standards. Discrete Event Simulation (DES) is a widely adopted tool within industries to model real-world systems to improve their processes. READ MORE

  3. 3. Online Sample Selection for Resource Constrained Networked Systems

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

    Author : Philip Sjösvärd; Samuel Miksits; [2022]
    Keywords : Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

    Abstract : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. READ MORE

  4. 4. Reinforcement learning for train dispatching : A study on the possibility to use reinforcement learning to optimize train ordering and minimize train delays in disrupted situations, inside the r ail simulator OSRD

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

    Author : Teodora Popescu; [2022]
    Keywords : ;

    Abstract : Train dispatching is a complex process, especially when the train traffic is disrupted, as the decisions taken by the dispatchers can have substantial consequences on the delays of the trains. The most frequent dispatching decisions consists in changing the order of trains at convergence points, where two tracks unite to become a single track. READ MORE

  5. 5. Real-time Scheduling in Datacentre Clusters

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Fabian Frankel; Sepehr Tayari; [2021]
    Keywords : Kubernetes; Realtime; Realtime Scheduling; Linux; Industry 4.0; Docker; Cloud; Technology and Engineering;

    Abstract : Industry 4.0 can be described as the next generation-factories that is characterised by putting a high demand for automation and flexible production lines. The proposed way to achieve this goal is through a large number of Industrial IoT devices(IIoT) in the factory, some having high availability- and low-latency requirements. READ MORE