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Visar resultat 1 - 5 av 86 uppsatser som matchar ovanstående sökkriterier.
1. New technology for smart traffic lights based on the Arduino microcontroller
Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Sammanfattning : Abstract Society has changed immensely due to the revolution in information technology. The question is how this technology can be useful to man. My interest lies in how to apply radar to traffic. People in general relate radar to military matters while the focus here is on traffic accidents. LÄS MER
2. Fysikundervisning på lekplatsen : Möjligheter och utmaningar med lekplatsfysik i de tidiga skolåren
Uppsats för yrkesexamina på avancerad nivå, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Sammanfattning : Scientific concepts can be abstract for students in the younger school years. By using the playground that is a part of students’ everyday life you can investigate physical phenomena in a way that are close to the students. LÄS MER
3. Review of Black-hole Amplitudes
L1-uppsats, Uppsala universitet/Teoretisk fysikSammanfattning : Abstract: In this review, we referred to several recent works about the black-hole amplitudes. By regarding the black holes as elementary particles, we wrote down the amplitudeswhich describe the black-hole graviton scattering. LÄS MER
4. Heads up: Designing a tool for implementing security HTTP-headers
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Security HTTP-headers are response headers sent by the server of a web page, activating certain security measures in the browser. They provide an effective defense against many threats on the modern web but are unfortunately not used on most sites. LÄS MER
5. Dynamic Stopping for Artificial Neural Networks
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : The growing popularity of Artificial Neural Networks (ANN) demands continuous improvement and optimization of the training process to achieve higher-performing algorithms at a lower computational cost. During training an ANN learns to solve a problem by looking at examples, and will iteratively go over a dataset to reach an optimal performance. LÄS MER