Essays about: "high performance network"
Showing result 16 - 20 of 774 essays containing the words high performance network.
-
16. Minimizing the clock drift in partially synchronized heterogeneous TSN networks
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The new generation of embedded systems will increase interaction between the environment, people, and autonomous devices. This will increase their need for communication, particularly in meeting real-time requirements. READ MORE
-
17. Using Synthetic Data to ModelMobile User Interface Interactions
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Usability testing within User Interface (UI) is a central part of assuring high-quality UIdesign that provides good user-experiences across multiple user-groups. The processof usability testing often times requires extensive collection of user feedback, preferablyacross multiple user groups, to ensure an unbiased observation of the potential designflaws within the UI design. READ MORE
-
18. Data Centres as Prosumers: A Techno-Economic Analysis
University essay from Uppsala universitet/Institutionen för materialvetenskapAbstract : Rapid growth of digitalization has urged Data Centres (DC) to be more energy efficient by recovering waste heat from server racks that would otherwise be wasted. This techno-economic study is focused on upgrading low temperature waste heat from typical Air-Cooled DC for District Heating Network (DHN) market in Stockholm region. READ MORE
-
19. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
-
20. Multi-Agent Deep Reinforcement Learning in Warehouse Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE