Avancerad sökning
Visar resultat 1 - 5 av 321 uppsatser som matchar ovanstående sökkriterier.
1. Värme och svalka i (bo)stadsmiljön. Urbana bostäder för ett föränderligt klimat genom passiv klimatreglering och ytor för odling
Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : Warm, warmer, warmest average temperatures on record. The year of 2023 was the hottest ever recorded on Earth. This heat record breaking development is described as “the new normal”, which means that future buildings must be designed with this new extreme weather normality in mind. LÄS MER
2. Radar and sea clutter simulation with Unity 3D game engine
M1-uppsats, Linköpings universitet/Programvara och systemSammanfattning : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. LÄS MER
3. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. LÄS MER
4. Skrehällan
Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : På Kullahalvön i nordvästra Skåne möts man av fantastiska vyer och vacker natur. Kontrasterna mellan berg och hav skapar ett dramatiskt och fascinerande landskap. På halvöns norra sida finns en liten by som heter Skäret. Mitt i byn ligger en obebyggd tomt med utmanande terräng, Skrehällan. LÄS MER
5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
Master-uppsats, KTH/Mekatronik och inbyggda styrsystemSammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER