Sökning: "DNS Performance"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden DNS Performance.

1. 1. Evaluating Thread network performance, locating and strengthening weak radio links

   Master-uppsats, Linköpings universitet/Fysik, elektroteknik och matematik; Linköpings universitet/Tekniska fakulteten

   Författare :André du Rietz; Elias Salo; [2023]
   Nyckelord :Internet of Things; IoT; Thread network; Evaluating Thread Network;

   Sammanfattning : In the fast-developing world we are living in, a tech phenomenon known as the Internet of Things (IoT) has taken hold. It has seen a lot of development over the past few decades, and today there are an estimated 30 billion IoT devices active. IoT is a machine-to-machine network that senses the world with the help of sensors. LÄS MER

3. 2. Validation of a moderate Reynolds number channel in Neko

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

   Författare :Shicheng Dai; [2023]
   Nyckelord :Neko; CFD; DNS; Turbulence channel flow;

   Sammanfattning : Neko is a portable framework for high-order spectral element flow simulations[1]. Originally from Nek5000, Neko not only inherited its numerical stability and well-performance, but also added the benefits of dynamic memory and support for many current accelerator backends. LÄS MER

4. 3. Oligosaccharide Analysis - Assessment of the DNS Method and Specification of Glucans Processed with CGTase

   Master-uppsats, Lunds universitet/Bioteknik; Lunds universitet/Bioteknik (master)

   Författare :Matilda Johansson; [2022]
   Nyckelord :CGTase; DNS; Chromatography; HPAEC; HPAE; Carbohydrate; Carbohydrates; Glucans; Cyclodextrin glycosyltransferase; Biotechnology; Bioteknik; Flory; Enza; Enzyme; Technology and Engineering;

   Sammanfattning : In this study, the reagent 3,5-dinitrosalicylic acid (DNS) and high-performance anion exchange chromatography (HPAEC) were used for carbohydrate characterisation. It was revealed that the DNS reaction is not exclusive to reducing ends as commonly thought, but rather that the reagent reacts with other parts of the carbohydrate molecules as well. LÄS MER

5. 4. Deep learning for non-intrusive sensing in turbulence with passive scalars

   Master-uppsats, KTH/Strömningsmekanik och Teknisk Akustik

   Författare :Arivazhagan Geetha Balasubramanian; [2021]
   Nyckelord :Turbulent boundary layer; passive scalar; direct numerical simulation; Prandtl number; Machine learning; convolutional neural network; Turbulent gränsskikt; passiv skalär; direkt numerisk simulering; Prandtl-nummer; maskininlärning; faltningsneurala nätverk;

   Sammanfattning : The near-wall modelling of turbulent flows has been an active field of research due to the computational cost associated with the direct numerical simulations of such flow, which are characterized by a wide range of length and time scales. With the recent advancements in technological capabilities, the availability of high-fidelity data has enabled the construction of data-driven approaches to model turbulence. LÄS MER

7. 5. Design and Evaluation of Service Selection in Mobile Edge Cloud

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

   Författare :Erfan Wu; [2021]
   Nyckelord :Edge computing; Mobile network; Service discovery; Service selection; Stable match algorithm; Edge Computing; Mobilnät; Tjänstupptäckt; Tjänsteval; Stabil matchningsalgoritm;

   Sammanfattning : With the development of 5G technology and edge computing, more and more network application services have been migrated to the cloud network in order to improve the performance, availability and ensure Quality of Service. Edge computing has essentially changed the service deployment model and reduce the latency further for better customer experience, which is realized by deploying network service replicas in geographically distributed edge sites. LÄS MER