Sökning: "Parameter Tuning"

Visar resultat 21 - 25 av 79 avhandlingar innehållade orden Parameter Tuning.

  1. 21. Discrete Scale-Space Theory and the Scale-Space Primal Sketch

    Författare :Tony Lindeberg; Jan-Olof Eklundh; Jan. J Koenderink; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer vision; low-level processing; scale-space; diffusion; Gaussian filtering; discrete smoothing; primal sketch; segmentation; descriptive elements; scale detection; image structure; focus-of-attention; tuning low-level processing; blob detection; edge detection; edge focusing; histogram analysis; junction classification; perceptual grouping; texture analysis; critical points; classification of blob events; bifurcations; drift velocity; density of local extrema; multi-scale representation; digital signal processing; Computer Science; Datalogi;

    Sammanfattning : This thesis, within the subfield of computer science known as computer vision, deals with the use of scale-space analysis in early low-level processing of visual information. The main contributions comprise the following five subjects:The formulation of a scale-space theory for discrete signals. LÄS MER

  2. 22. Latency Reduction for Soft Real-Time Traffic using SCTP Multihoming

    Författare :Johan Eklund; Anna Brunström; Thomas Dreibholz; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; transport protocol; SCTP; multihoming; latency; performance evaluation; failover; concurrent multipath transfer; scheduling; mobility; handover; Computer Science; Datavetenskap;

    Sammanfattning : More and more so-called soft real-time traffic is being sent over IP-based networks. The bursty, data-limited traffic pattern as well as the latency requirements from this traffic present challenges to the traditional communication techniques, designed for bulk traffic without considering latency. LÄS MER

  3. 23. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers

    Författare :Niklas Lavesson; Sweden Blekinge Institute of Technology School of Engineering Department of Systems and Software Engineering; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; evaluation; classification;

    Sammanfattning : The fundamental question studied in this thesis is how to evaluate and analyse supervised learning algorithms and classifiers. As a first step, we analyse current evaluation methods. Each method is described and categorised according to a number of properties. LÄS MER

  4. 24. Fault detection in lambda-tuned control loops

    Författare :Magnus Berndtsson; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reglerteknik; Control Engineering;

    Sammanfattning : Poorly operating control loops cause loss in productivity in almost every industry worldwide. Therefore performance monitoring has been an active area of research for the past decades. In this work, a newly developed fault detection method is applied to the monitoring of lambda-tuned control loops. LÄS MER

  5. 25. GaN HEMT Low Frequency Noise Characterization for Low Phase Noise Oscillator Design

    Författare :Thi Ngoc Do Thanh; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Low frequency noise; flicker noise; phase noise; deposition method.; oscillator; VCO; GaAs pHEMT; MMIC; GaN HEMT; passivation; InGaP HBT;

    Sammanfattning : The thesis presents low frequency noise (LFN) characterization of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) for low phase noise oscillator design. First, GaN HEMT technology is benchmarked versus other transistor technologies, e.g. LÄS MER