Sökning: "Hierarchical Modeling"

Visar resultat 21 - 25 av 64 avhandlingar innehållade orden Hierarchical Modeling.

  1. 21. Deep probabilistic models for sequential and hierarchical data

    Författare :Carl Andersson; Thomas B. Schön; Niklas Wahlström; Roy Smith; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Deep learning; Sequential modelling; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Consider the problem where we want a computer program capable of recognizing a pedestrian on the road. This could be employed in a car to automatically apply the brakes to avoid an accident. LÄS MER

  3. 22. Modeling of Modular Multilevel Converters for Stability Analysis

    Författare :Luca Bessegato; Stefan Östlund; Staffan Norrga; Lennart Harnefors; Xiongfei Wang; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Modular multilevel converters MMCs ; stability; admittance; frequency-domain analysis; linearization techniques; current control; voltage control; ac ac converters; railway engineering.; Modulära multinivåomvandlare MMC ; stabilitet; admittans; frekvensanalys; linjäriseringsmetoder; strömreglering; spänningsreglering; ac ac omvandlare; järnvägsteknik.; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Modular multilevel converters (MMCs) have recently become the state-of-the-art solution for various grid-connected applications, such as high-voltage direct current (HVDC) systems and flexible alternating current transmission systems (FACTS). Modularity, scalability, low power losses, and low harmonic distortion are the outstanding properties that make MMCs a key technology for a sustainable future. LÄS MER

  4. 23. Spatial analysis and modeling of urban transportation networks

    Författare :Jingyi Lin; Yifang Ban; Sten Henning Hansen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Complex networks; transportation systems; network growth; Evolving networks; centrality; urban systems; topology; space syntax; spatial networks; distance effects; gravity laws; planarity; street network patterns; US airline system; China’s aviation system; network efficiency; cellular structure; hierarchy; network representations; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Sammanfattning : Transport systems in general, and urban transportation systems in particular, are the backbone of a country or a city, therefore play an intrinsic role in the socio-economic development. There have been numerous studies on real transportation systems from multiple fileds, including geography, urban planning, and engineering. LÄS MER

  5. 24. Languages and Tools for Optimization of Large-Scale Systems

    Författare :Johan Åkesson; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Paper Machine Modeling; Plate Reactor; Languages for Physical Modeling; Compiler Construction; Dynamic Optimization; Modelica; Optimica; Manual Control; Automation; robotics; control engineering; Automatiska system; robotteknik; reglerteknik;

    Sammanfattning : Modeling and simulation are established techniques for solving design problems in a wide range of engineering disciplines today. Dedicated computer languages, such as Modelica, and efficient software tools are available. In this thesis, an extension of Modelica, Optimica, targeted at dynamic optimization of Modelica models is proposed. LÄS MER

  7. 25. Offline and Online Models for Learning Pairwise Relations in Data

    Författare :Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mulit-Armed Bandit; Pairwise Relations; Performance Modeling; Motion Trajectory Clustering; Minimax Distance; Bottleneck Identification; Online Learning; Representation Learning; Memory Efficiency; Concurrent Programming; Thompson Sampling;

    Sammanfattning : Pairwise relations between data points are essential for numerous machine learning algorithms. Many representation learning methods consider pairwise relations to identify the latent features and patterns in the data. This thesis, investigates learning of pairwise relations from two different perspectives: offline learning and online learning. LÄS MER