Search for dissertations about: "Viktoria Fodor"
Showing result 1 - 5 of 12 swedish dissertations containing the words Viktoria Fodor.
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1. Internet Video Transmission
Abstract : The Internet has rapidly evolved from being a scientific experiment to a commercial network connecting millions of hosts that carries traffic generated by a large amount of applications with diverse requirements. Its architecture was however designed to enable efficient point-to-point delivery of bulk data, and can not provide statistical guarantees on the timely delivery of delay sensitive data such as streaming and real-time multimedia. READ MORE
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2. Using Outage Probability to Tailor Communication Protocols Suitable for Cyber-Physical Systems Operating in Confined Areas
Abstract : Some types of Cyber-Physical System (CPS) applications found within e.g., quarrying, mining, harbors, and construction sites, operate within confined areas. READ MORE
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3. Distributed Processing of Visual Features in Wireless Sensor Networks
Abstract : As digital cameras are becoming both cheaper and more advanced, they are also becoming more common both as part of hand-held and consumer devices, and as dedicated surveillance devices. The still images and videos collected by these cameras can be used as input to computer vision algorithms for performing tracking, scene understanding, navigation, etc. READ MORE
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4. Coexistence and Energy Efficiency in Wireless Networks
Abstract : Dynamic spectrum access has been recently proposed to increase the utilization of the licensed spectrum bands, and support the constantly growing volumes of mobile traffic in the modern society. At the same time, the increasing demand for wireless connectivity, as a result of the rapid emergence of innovative wireless and mobile services, has led to the deployment of various wireless technologies in the open ISM bands. READ MORE
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5. Over-the-Air Computation for Machine Learning: Model Aggregation via Retransmissions
Abstract : With the emerging Internet of Things (IoT) paradigm, more than a billion sensing devices will be collecting an unprecedented amount of data. Simultaneously, the field of data analytics is being revolutionized by modern machine learning (ML) techniques that enable sophisticated processing of massive datasets. READ MORE