Essays about: "Technology PI"
Showing result 1 - 5 of 294 essays containing the words Technology PI.
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1. Local Voltage Control in Converter Based PV Generation
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : As the world is trying to rid itself of its dependence on fossil fuels, the need for renewable energy is rapidly increasing. In the power distribution network (DN), this takes the form of distributed generation (DG) from renewable sources, such as photovoltaic (PV) power production. READ MORE
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2. Deep reinforcement learning for automated building climate control
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE
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3. Cost-Effective Design Solution for GAIM Shooting Trigger PCB & Improving the Power Distribution Network
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Virtual Reality (VR) shooting simulators have gained popularity as effective training and entertainment tools. GAIM is a Swedish company specializing in VR shooting simulators, offering VR headsets with physical dummy guns and rifles. READ MORE
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4. Agda on Raspberry Pi
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This thesis presents an Agda-to-C compiler targeting the Raspberry Pi Pico microcontroller. The compiler implementation includes an unusual choice of run-time algorithm, a Foreign Function Interface generator, and surprisingly little boilerplate code... READ MORE
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5. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. READ MORE