Sökning: "home automation system"
Visar resultat 1 - 5 av 62 uppsatser innehållade orden home automation system.
1. Investigating the Impact of User Behavior in the Security of Smart Home IoT Devices
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : As technology is growing at a fast pace, IoT-based smart home services are increasingly adopted by people. IoT-based smart homes offer numerous unimaginable benefits, including efficiency, safety, effectiveness, scalability of services, devices, and data, among many others. However, there is another side to this technology: security threats. LÄS MER
2. A study of photovoltaics and of combining solar power with an existing wind power plant
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automationSammanfattning : In this paper, the viability of integrating solar power with an already running wind power plant is examined. The study, conducted in cooperation with Eolus, takes place in Anneberg, Sweden, home to three wind turbines with a combined capacity of 10.8 MW. LÄS MER
3. Home automation using the Internet of Things
Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Signaler och systemSammanfattning : This bachelor’s thesis project is intended to study IoT (Internet of Things) and apply it to an application in home automation. To this purpose, a prototype has been implemented that can measure indoor temperature and humidity, display the measurement data on an LCD display, and then send the measurement data to a cloud server for users to read online. LÄS MER
4. Det digitala hemmet & säkerhetssystemet : Möjligheter och utmaningar
Kandidat-uppsats,Sammanfattning : Tillkomsten av digital teknik har lett till betydande framsteg i olika aspekter av våra liv, inklusive konceptet smarta hem. Ett smart hem är en innovativ integration av sammankopplade enheter och system som syftar till att förbättra komfort, bekvämlighet och säkerhet i bostadsmiljöer. LÄS MER
5. Evaluating Incremental Machine Learning for Smart Home Adaptation with Embedded Systems
M1-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Sammanfattning : The combination of machine learning on embedded systems has quickly increased throughout the years. Subsets like TinyML have become an integral part of how embedded systems implement machine learning. The field has evolved quickly, and TinyOL is an emerging subset that redefines what is possible with embedded systems. LÄS MER