Search for dissertations about: "Information classification method"

Showing result 16 - 20 of 306 swedish dissertations containing the words Information classification method.

  2. 16. On Tracing Flicker Sources and Classification of Voltage Disturbances

    Author : Peter Axelberg; Högskolan i Borås; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; power transmission and distribution; digital signal processing; power quality monitoring; light flicker; power system disturbance; support vector machines; Medicinteknik; voltage dips;

    Abstract : Developments in measurement technology, communication and data storage have resulted in measurement systems that produce large amount of data. Together with the long existing need for characterizing the performance of the power system this has resulted in demand for automatic and efficient information-extraction methods. READ MORE

  4. 17. Microwave Measurement Systems for Parameter Estimation and Classification

    Author : JOHAN WINGES; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; microcrystalline cellulose; parameter estimation; sensitivities; microwave measurements; finite element method; gradient-based optimization; permittivity;

    Abstract : Microwave measurement systems are attractive for diagnostics and monitoring purposes in a number of important applications. For example, the strong interaction between microwaves and water make microwaves well-suited for moisture measurements. READ MORE

  5. 18. On the Selection and Classification of Features for Speaker Recognition

    Author : Guillermo Garcia; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; feature extraction; mutual information; estimation; phase information.; Bayes procedures; speaker recognition; discriminative modeling;

    Abstract : Speaker recognition is theprocess of automatically recognizing who is spea- king based on information provided by speech signals. Speakerrecognition still has many unsolved problems; each person has aunique voice that makes him or her different from other people, andto recognize who is talking based only on the speech is not an easytask. READ MORE

  6. 19. Statistical inference and time-frequency estimation for non-stationary signal classification

    Author : Rachele Anderson; Statistical Signal Processing Group; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Non-stationary processes; stochastic modeling; inference; spectral analysis; time-frequency analysis; classification; biomedical applications; deep learning;

    Abstract : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. READ MORE

  7. 20. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; assisted living; Riemannian manifold; fall detection; smart homes; activities of daily living ADL ; video tracking; activity classification;

    Abstract : This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The main reasons for adopting visual-information based methods are due to: (i) vision plays a major role in recognition/classification of activities which is a fundamental issue in a human-centric system; (ii) visual sensor-based analysis may possibly offer high performance with minimum disturbance to individuals' daily lives. READ MORE