Search for dissertations about: "advent"
Showing result 1 - 5 of 182 swedish dissertations containing the word advent.
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1. Life of a Security Middlebox : Challenges with Emerging Protocols and Technologies
Abstract : The Internet of today has intermediary devices known as middleboxes that perform more functions than the normal packet forwarding function of a router. Security middleboxes are a subset of these middleboxes and face an increasingly difficult task to perform their functions correctly. READ MORE
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2. Towards Secure Multipath TCP Communication
Abstract : The evolution in networking coupled with an increasing demand to improve user experience has led to different proposals to extend the standard TCP. Multipath TCP (MPTCP) is one such extension that has the potential to overcome few inherent limitations in the standard TCP. READ MORE
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3. Weeping for the res publica : Tears in Roman political culture
Abstract : The thesis explores the meaning and function of tears in Roman political culture during the Republic and the Early Empire in various historical settings: mourning, the law court, and in different political contexts where power, authority, and subjection were expressed or exercised. This is carried through by reading representations of weeping in Greek and Latin literary works in different genres, written by different authors. READ MORE
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4. Towards SDN/NFV-based Mobile Packet Core : Benefits, Challenges, and Potential Solutions
Abstract : In mobile networks, the mobile core plays a crucial role in providing connectivity between mobile user devices and external packet data networks such as the Internet. Through the years, along with the dramatical changes in radio access networks, the mobile core has also been evolved from being a circuit-based analog telephony system in its first generation (1G) to become a purely packet-based network called the Evolved Packet Core (EPC) in the current generation (4G). READ MORE
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5. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations
Abstract : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. READ MORE