Sökning: "data cleaning"

Visar resultat 1 - 5 av 79 avhandlingar innehållade orden data cleaning.

  1. 1. Enabling Surface Cleaning Robot for Large Food Silo

    Författare :Kinan Dandan; Amy Loutfi; Lars Karlsson; Mikael Ekström; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Confined space; surface cleaning robot; motion control; static and dynamic analysis;

    Sammanfattning : Working conditions in the dry cleaning and sanitation of confined interior spaces are often extreme, and workers need overall protection with tight clothing, helmets, face mask, earmuffs, and respirators. The environment is dirty, noisy with bad visibility and heavy with a high static work load. LÄS MER

  3. 2. The Optimal trigger speed of vehicle activated signs

    Författare :Diala Jomaa; Högskolan Dalarna; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; optimal trigger speed; vehicle activated sign; vehicle mean speed; standard deviation; calibration; Doppler radar; driver behaviour; data analysis; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : The thesis aims to elaborate on the optimum trigger speed for Vehicle Activated Signs (VAS) and to study the effectiveness of VAS trigger speed on drivers’ behaviour. Vehicle activated signs (VAS) are speed warning signs that are activated by individual vehicle when the driver exceeds a speed threshold. LÄS MER

  4. 3. Model-free execution monitoring in behavior-based mobile robotics

    Författare :Ola Pettersson; Alessandro Saffiotti; Lars Karlsson; Joachim Hertzberg; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Datavetenskap; mobile robotics; execution monitoring; fault detection and isolation; diagnosis; data- och systemvetenskap; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap;

    Sammanfattning : In the near future, autonomous mobile robots are expected to assist us by performing service tasks in many different areas, including transportation, cleaning, mining, or agriculture. In order to manage these tasks in a changing and partially unpredictable environment, without the help of humans, the robot must have the ability to plan its actions and to execute them robustly and in a safe way. LÄS MER

  5. 4. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Författare :Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Sammanfattning : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. LÄS MER

  7. 5. Doing Mobility

    Författare :Alexandra Weilenmann; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mobility; mobile technology; ethnomethodology; conversationanalysis; ethnography; CSCW;

    Sammanfattning : Despite the widespread adoption of mobile information and communication technology, there are still relatively few studies of their use. Previous studies often fail to capture the situated practicalities of mobility. LÄS MER