Sökning: "Virtual assembly"
Visar resultat 1 - 5 av 52 uppsatser innehållade orden Virtual assembly.
1. Cost-Effective Design Solution for GAIM Shooting Trigger PCB & Improving the Power Distribution Network
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER
2. Effective Digitization in Brownfield Factories : A conceptualized model for technology transfer to brownfield production factories through smart factory lab
Master-uppsats, KTH/ProduktionsutvecklingSammanfattning : The exploration of Smart Factories and Industry 4.0 technologies has indeed sparked curiosity and interest in the industrial world. The potential of these advancements to revolutionize manufacturing processes, enhance efficiency, and drive innovation is immense. LÄS MER
3. Konceptframtagning för monteringsenhet
Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : I takt med att stora delar av industrin automatiseras så ökar också efterfrågan på specialanpassad utrustning. Arbetet i denna rapport handlar om att utveckla ett koncept för en sådan specialanpassad utrustning i form av en monteringsenhet. LÄS MER
4. Runtime of WebAssembly : A study into WebAssembly runtime
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : WebAssembly is Assembly-like code that is created by compiling other languages into Wasm. The Wasm file can then be run on the web at near native speed. The objective of this study is to find how WebAssemblys runtime compares to JavaScript and native. The study will also see if different browsers impact WebAssembly runtime. LÄS MER
5. Sim2Real: Generating synthetic images from industry CAD models with domain randomization
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. LÄS MER