Sökning: "Named Data Network"
Visar resultat 1 - 5 av 90 uppsatser innehållade orden Named Data Network.
1. LEO Satellite Connectivity for flying vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. LÄS MER
2. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER
3. Integration of Attribute-Based Encryption and IoT: An IoT Security Architecture
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Services relying on internet of things (IoTs) are increasing day by day. IoT makes use of internet services like network connectivity and computing capability to transform everyday objects into smart things that can interact with users, and the environment to achieve a purpose they are designed for. LÄS MER
4. Structure from Motion with a Neural Network
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER
5. Improving Missing Data Imputation using Generative Adversarial Network-based Methods
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. LÄS MER