Sökning: "Computer engineering"

Visar resultat 16 - 20 av 2788 avhandlingar innehållade orden Computer engineering.

  1. 16. Diesel Engine Modeling for Engine Management System Development

    Författare :Markus Grahn; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Engine control; Diesel engines; Engine management system; Emissions; Simulation; Optimization; Modeling;

    Sammanfattning : Due to increasingly strict emission legislation and stronger demands on fuel consumption, typical passenger car diesel engines become increasingly complex with more and more controllable systems added. These added systems open up for the possibility to operate the engine at more efficient conditions, but it also becomes more challenging to optimize the settings in the engine management system. LÄS MER

  3. 17. Computational driver behavior models for vehicle safety applications

    Författare :Malin Svärd; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Driver adaptation; Driver models; Visual attention; Safety benefit assessment; Evidence accumulatoin; PrARX; Hybrid dynamical systems; ADAS; Predictive processing;

    Sammanfattning : The aim of this thesis is to investigate how human driving behaviors can be formally described in mathematical models intended for online personalization of advanced driver assistance systems (ADAS) or offline virtual safety evaluations. Both longitudinal (braking) and lateral (steering) behaviors in routine driving and emergencies are addressed. LÄS MER

  4. 18. Evolutionary optimisation of a morphological image processor for embedded systems

    Författare :Andreas Magnusson; Högskolan i Borås; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; embedded system; machine vision; morphological image processing; genetic algorithm; Energi och material;

    Sammanfattning : The work presented in this thesis concerns the design, development and implementation of two digital components to be used, primarily, in autonomously operating embedded systems, such as mobile robots. The first component is an image coprocessor, for high-speed morphological image processing, and the second is a hardware-based genetic algorithm coprocessor, which provides evolutionary computation functionality for embedded applications. LÄS MER

  5. 19. Highway Traffic State Estimation and Short-term Prediction

    Författare :Andreas Allström; Jan Lundgren; Clas Rydergren; Balázs Adam Kulcsár; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Sammanfattning : Traffic congestion is increasing in almost all large cities, leading to a number of negative effects such as pollution and delays. However, building new roads is not a feasible solution. Instead, the use of the existing road network has to be optimized, together with a shift towards more sustainable transport modes. LÄS MER

  7. 20. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization

    Författare :Amir Keramatian; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Clustering; Approximation-based synopsis; Distributed and Parallel Processing; Applied ML;

    Sammanfattning : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. LÄS MER