Sökning: "Energy-Efficient Network"

Visar resultat 1 - 5 av 119 uppsatser innehållade orden Energy-Efficient Network.

  1. 1. Data Centres as Prosumers: A Techno-Economic Analysis

    Master-uppsats, Uppsala universitet/Institutionen för materialvetenskap

    Författare :Jeremy Ericsson Sintong; [2023]
    Nyckelord :Data Centres; Prosumers; Techno-Economic Analysis; Waste Heat Recovery; District Heating; Heat Supply; Air-Cooled Data Centre;

    Sammanfattning : Rapid growth of digitalization has urged Data Centres (DC) to be more energy efficient by recovering waste heat from server racks that would otherwise be wasted. This techno-economic study is focused on upgrading low temperature waste heat from typical Air-Cooled DC for District Heating Network (DHN) market in Stockholm region. LÄS MER

  3. 2. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Majd Dawli; Imran Bahed Diva; [2023]
    Nyckelord :;

    Sammanfattning : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. LÄS MER

  4. 3. Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow

    Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Yuning Wang; [2023]
    Nyckelord :Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

    Sammanfattning : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical for a variety of engineering applications, including thermal management systems and energy-efficient designs. Traditional methods, which rely on expensive numerical simulations, are hampered by increasing complexity and extremly high computation cost. LÄS MER

  5. 4. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dorsa Mohammad; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER

  7. 5. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Cai Tianzhang; [2023]
    Nyckelord :;

    Sammanfattning : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. LÄS MER