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Visar resultat 21 - 25 av 679 uppsatser som matchar ovanstående sökkriterier.
21. Att äga eller hyra lokaler? En analys av lönsamhet, hållbarhet och andra påverkande faktorer
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/FastighetsvetenskapSammanfattning : In recent years, the office market has been changing, mainly due to the Covid-19 pandemic and technological innovation. This has impacted how office space is used and has led to an increase in the range of available real estate products. LÄS MER
22. Transportation Study of Release from a Space Elevator to Cislunar Space
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : To leave Earth’s gravity well and ascend into Cislunar space takes ingenuity, and the engineering feats of many. Now to propel humanity further into space, rockets will need assistance to provide the large requirements of mass to be used for space structures. LÄS MER
23. Plank
Master-uppsats, Lunds universitet/IndustridesignSammanfattning : The objective of this project was to design a casual dinner chair for smaller cafes and restaurants that prioritize locally produced ingredients and want to reflect that in their interior design. The aim was to use locally sourced materials from southern Sweden, integrate design and construction to simplify the manufacturing process, and reduce material waste. LÄS MER
24. Room Impulse Response Interpolation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In Virtual Reality (VR) systems, the incorporation of acoustics allows for the generation of audio-visual stimuli, facilitating applications in engineering, architecture, and design. The goal of virtual acoustics is to create a realistic sound field in continuous space. LÄS MER
25. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. LÄS MER