Essays about: "network software"

Showing result 21 - 25 of 983 essays containing the words network software.

  1. 21. Investigating Users' Quality of Experience in Mobile Cloud Games

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Markus Blomqvist; [2023]
    Keywords : Quality of Experience; Mobile Cloud Games; RTT; Delays; Packet Loss; Random Jitter; Bursty Jitter; Data Packets; Experiment;

    Abstract : Mobile cloud gaming (MCG) is an emerging concept which aims to deliver video games on-demand to users with the use of cloud technologies. Cloud technology allows the offloading of computation from a less powerful user device or thin client to more robust cloud servers to minimize power consumption and provide additional cloud services such as storage. READ MORE

  3. 22. Control Aid Implementation -Modelling and simulation of triple extruder-

    University essay from Lunds universitet/Kemiteknik (CI)

    Author : Karl Langsér; [2023]
    Keywords : Machine Learning; Extruder; Modelling; Simulation; Extreme learning machine; Chemical engineering; Technology and Engineering;

    Abstract : In the production of their High Voltage Direct Current Cables (HVDC) and High Voltage Alternating Current Cables (HVAC), NKT uses triple extruders to create layers of insulation and semi-conduction. A model to predict the effect of extruder inputs on the cable’s insulation and semi-conducting layers has been created and trained to predict the extruder in discrete time. READ MORE

  4. 23. Predicting Cross-Platform Performance : A Case Study on Evaluating Predictive Models and Exploring the Economic Consequences in Software Testing

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Adam Bredfell; Gustav Roll; [2023]
    Keywords : cross-platform performance; process innovation; creative destruction; predictive models;

    Abstract : Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. READ MORE

  5. 24. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

  6. 25. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Axel Ekblom; Jacob Karlén; [2023]
    Keywords : process mining; workflow mining; data mining; radiology; PACS;

    Abstract : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. READ MORE