Sökning: "real time visualization"

Visar resultat 1 - 5 av 189 uppsatser innehållade orden real time visualization.

1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   Master-uppsats, Högskolan i Gävle/Elektronik

   Författare :Pradip Nath; [2024]
   Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

3. 2. Digital Dashboard for Enhanced Waste Management in the Stockholm Municipality : Bridging Data Insights and Sustainable Practices

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Youssef Ramy Farouk Fam; [2024]
   Nyckelord :Waste management; Dashboard; Design; Digitalisation; Data visualization; Waste sorting behavior; Avfallshantering; Dashboard; Design; Digitalisering; Datavisualisering; Källsorteringsbeteende;

   Sammanfattning : The surging global trend in waste generation, currently surpassing 2 billion tons annually in cities,stands as a pressing concern amid escalating climate change threats. This master's thesis aims todesign a digital dashboard tailored to the needs of the Stockholm Municipality's waste managementsystem and its different stakeholders. LÄS MER

4. 3. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

5. 4. Nanometa Live : A real-time metagenomic analysis pipeline and interface for species classification and pathogen characterization

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Kristoffer Sandås; [2023]
   Nyckelord :;

   Sammanfattning : Metagenomics studies the totality of genomes of all species in a microbial community. It is a young, growing field with medical, industrial, and ecological applications. Abundant metagenomic data is being produced today, but there is a lack of interpretation and visualization tools. LÄS MER

7. 5. Real-time visual feedback of emotional expression in singing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xuehua Fu; [2023]
   Nyckelord :Sound and Music Computing; Music Visualization; Cross-modal Feedback; Mapping; Music Expressivity; Multimodal Interaction; Ljud-och musikberäkning; Musikvisualisering; Korsmodal återkoppling; Kartläggning; Musikexpressivitet; Multimodal interaktion;

   Sammanfattning : The thesis project concerns the development and evaluation of a real-time music visualization system aimed at creating a multi-modal perceptual experience of music emotions. The purpose of the project is to provide singers with real-time visual feedback on their singing, to enhance their expression of emotions in the music. LÄS MER