graphic user interface

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 12771 Experts worldwide ranked by ideXlab platform

Jean Marc Ogier - One of the best experts on this subject based on the ideXlab platform.

  • adaptable vectorisation system based on strategic knowledge and xml representation use
    Lecture Notes in Computer Science, 2004
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image preprocessing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents' contexts and users' adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

  • GREC - Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use
    Graphics Recognition. Recent Advances and Perspectives, 2003
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image pre-processing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents’ contexts and users’ adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

Mathieu Delalandre - One of the best experts on this subject based on the ideXlab platform.

  • adaptable vectorisation system based on strategic knowledge and xml representation use
    Lecture Notes in Computer Science, 2004
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image preprocessing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents' contexts and users' adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

  • GREC - Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use
    Graphics Recognition. Recent Advances and Perspectives, 2003
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image pre-processing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents’ contexts and users’ adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

T. Tayjasanant - One of the best experts on this subject based on the ideXlab platform.

  • A graphic user interface-based program for voltage sag- and flicker-source detection
    2007
    Co-Authors: T. Tayjasanant
    Abstract:

    This paper presents a graphic user interface-based program for voltage sag- and flicker-source detection. The design environment of the program is based on MATLAB graphic user interface (GUI) development environment. The GUI feature provides the user with visual interaction and facilitates the analysis. The proposed methods for voltage sag- and flicker- source detection are based on the sign of estimated resistance. The program has been tested using two actual field measurements.

  • A graphic user interface-based Program for Harmonic Impedance Calculation
    2007 7th International Conference on Power Electronics and Drive Systems, 2007
    Co-Authors: T. Tayjasanant
    Abstract:

    This paper presents a graphic user interface (GUI)-based program for harmonic impedance calculation. The GUI feature provides the user with visual interaction and facilitates the analysis. The harmonic impedance calculation is based on two steady-state conditions of voltage and current waveforms. Modal transformations and weighting average method are presented and proposed. The program has been tested using two actual field measurements.

  • A graphic user interface-based Program for Voltage Sag Calculation
    2007 7th International Conference on Power Electronics and Drive Systems, 2007
    Co-Authors: T. Tayjasanant, K. Yossombut, P. Sawatpipat
    Abstract:

    This paper presents a graphic user interface (GUI)-based program for voltage sag calculation. The GUI feature provides the user with visual interaction and facilitates the analysis. The analysis is based on the bus impedance matrix and the symmetrical-components transformation. Voltages during a fault at various buses and percentages of sag are calculated. Simulation results on 13- bus balanced industrial distribution system are summarized.

Eric Trupin - One of the best experts on this subject based on the ideXlab platform.

  • adaptable vectorisation system based on strategic knowledge and xml representation use
    Lecture Notes in Computer Science, 2004
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image preprocessing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents' contexts and users' adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

  • GREC - Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use
    Graphics Recognition. Recent Advances and Perspectives, 2003
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image pre-processing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents’ contexts and users’ adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

Youssouf Saidali - One of the best experts on this subject based on the ideXlab platform.

  • adaptable vectorisation system based on strategic knowledge and xml representation use
    Lecture Notes in Computer Science, 2004
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image preprocessing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents' contexts and users' adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.

  • GREC - Adaptable Vectorisation System Based on Strategic Knowledge and XML Representation Use
    Graphics Recognition. Recent Advances and Perspectives, 2003
    Co-Authors: Mathieu Delalandre, Youssouf Saidali, Eric Trupin, Jean Marc Ogier
    Abstract:

    This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our processing library is composed of image pre-processing and vectorisation tools. Our graphic user interface is used for the strategic knowledge acquisition and operationalisation. It allows to construct and to execute scenarios, exploiting any processing of our library, according to documents’ contexts and users’ adopted strategies. A XML data representation is used, allowing an easy data manipulation. A scenario example is presented for graphics recognition on utility maps.