Search for dissertations about: "Machine foundation"

Showing result 1 - 5 of 65 swedish dissertations containing the words Machine foundation.

  2. 1. Energy Efficient Machine-Type Communications over Cellular Networks : A Battery Lifetime-Aware Cellular Network Design Framework

    Author : Amin Azari; Guowang Miao; Jens Zander; Cedomir Stefanovic; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine-type communications; Internet-of-things; 5G; Battery lifetime; Energy efficiency; maskin-typ kommunikation; Sakernas Internet; 5G; Energieffektivitet; Batteriets livslängd; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Internet of Things (IoT) refers to the interconnection of uniquely identifiable smart devices which enables them to participate more actively in everyday life. Among large-scale applications, machine-type communications (MTC) supported by cellular networks will be one of the most important enablers for the success of IoT. READ MORE

  4. 2. Failure diagnostics using support vector machine

    Author : Yuan Fuqing; Thomas Lindblad; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Failure diagnostics is an important part of condition monitoring aiming to identify incipient failures in early stages. Accurate and efficient failure diagnostics can guarantee that the operator makes the correct maintenance decision, thereby reducing the maintenance costs and improving system availability. READ MORE

  5. 3. Simulating Group Interactions through Machine Learning and Human Perception

    Author : Fangkai Yang; Christopher Peters; Séverin Lemaignan; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Abstract : Human-Robot/Agent Interaction is well researched in many areas, but approaches commonly either focus on dyadic interactions or crowd simulations. However, the intermediate structure between individuals and crowds, i.e., small groups, has been studied less. READ MORE

  6. 4. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

    Author : Rikard König; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; Information technology; Informationsteknik; Teknik; Technology;

    Abstract : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. READ MORE

  7. 5. Utilizing Diversity and Performance Measures for Ensemble Creation

    Author : Tuve Löfström; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; Computer science; Datavetenskap; Teknik; Technology;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE