Essays about: "network paradigm"
Showing result 16 - 20 of 135 essays containing the words network paradigm.
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16. Automatic Management of Related Data Distribution Service Topics
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : A distributed system is a system that utilizes a network to communicate while usually being broken down into multiple software programs. Said programs generally have separate tasks, and a paradigm used in the manner above is publish-subscribe. READ MORE
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17. Battery-less IoT Devices: Energy Source Manipulation Attacks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Internet of Things (IoT) is expected to enable applications of utmost societal value, such as energy-efficient buildings, smart cities, and next-generation healthcare. While there has been a lot of progress on the security of larger devices, there is a need to consider the security of resource-constrained devices. READ MORE
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18. ztLang : A Modelling Language for Zero Trust Networks
University essay from KTH/DatavetenskapAbstract : This work explores how zero trust architectures can be modelled in order to assess and improve network security. Cyber attacks are severely damaging and costly, and the frequency of such attacks continues to increase. Improving network security is imperative for preempting such attacks. READ MORE
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19. Using machine learning to analyse EEG brain signals for inner speech detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Research on brain-computer interfaces (BCIs) has been around for decades and recently the inner speech paradigm was picked up in the area. The realization of a functioning BCI could improve the life quality of many people, especially persons affected by Locked-In-Syndrome or similar illnesses. READ MORE
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20. Deep Visual Inertial-Aided Feature Extraction Network for Visual Odometry : Deep Neural Network training scheme to fuse visual and inertial information for feature extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extraction is an essential part of the Visual Odometry problem. In recent years, with the rise of Neural Networks, the problem has shifted from a more classical to a deep learning approach. This thesis presents a fine-tuned feature extraction network trained on pose estimation as a proxy task. READ MORE