Sökning: "Databehandling"

Visar resultat 1 - 5 av 121 uppsatser innehållade ordet Databehandling.

  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. Physical Exercise and Fatigue Detection using Machine Learning

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Filip Säterberg; Rasmus Nilsson; [2024]
    Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER

  4. 3. Machine Learning model applied to Reactor Dynamics

    Master-uppsats, KTH/Fysik

    Författare :Dionysios Dimitrios Nikitopoulos; [2023]
    Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

  5. 4. Investigating the potential correlations between metal and metalloid concentrations and soil color : A Minor Field Study on the island province of Marinduque, Philippines

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

    Författare :Ivana Pia Saric Söderholm; Erik Readwin; [2023]
    Nyckelord :Marinduque; Metal and Metalloid; Nix Pro 2 Color Sensor; Philippines; Soil color; X-Ray Fluorescence XRF ; Filippinerna; Jordfärg; Marinduque; Metall och Metalloid; Nix Pro 2 Color Sensor; Röntgenfluorescens XRF ;

    Sammanfattning : This study was carried out as a bachelor's thesis at KTH Royal Institute of Technology during the spring of 2023, investigating the correlation between the color with the concentration of various metal and metalloids (MMs) in the soil of Marinduque, The Philippines. With a history of mineral exploitation, notably copper and gold, the island has faced persistent environmental challenges, exemplified by the catastrophic waste spills in 1993 and 1996 that contaminated the Boac and Mogpog Rivers. LÄS MER

  7. 5. Lokalisering av borrhål i underjordsgruvor : Face drilling, del av adaptive automations projekt på Epiroc

    Master-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Alex Melander; Edris Fatah; [2023]
    Nyckelord :;

    Sammanfattning : Yrkesmän har manuellt gjort borrplaner för varje borrsekvens, men denna modul med ett neuralt nätverk för punktmolnssegmentering- och- klassificering kommer att underlätta yrkesmännens behov genom att förenkla processen och utesluta orimliga delar i utgångsplanen. Dettaexamensarbete, som utförts i samarbete med Epiroc, en svensk tillverkare av gruv- och infrastrukturutrustning, fokuserar på att automatisera borrprocessen vid underjordisk gruvdrift. LÄS MER