The Experts below are selected from a list of 84 Experts worldwide ranked by ideXlab platform

R. Maev - One of the best experts on this subject based on the ideXlab platform.

  • CCECE - Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

  • Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

A. Elseddawy - One of the best experts on this subject based on the ideXlab platform.

  • CCECE - Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

  • Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

J. Tjong - One of the best experts on this subject based on the ideXlab platform.

  • CCECE - Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

  • Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

I. Seviaryna - One of the best experts on this subject based on the ideXlab platform.

  • CCECE - Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

  • Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

V. Leshchynsky - One of the best experts on this subject based on the ideXlab platform.

  • CCECE - Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.

  • Correlation method based Bio-Composite Material temperature estimation utilizing Ultrasound Signals
    2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
    Co-Authors: A. Elseddawy, I. Seviaryna, V. Leshchynsky, J. Tjong, R. Maev
    Abstract:

    In this paper, we present a one step forward to online monitoring of Bio-Composite Material Processing temperature. A temperature estimation of Bio-Composite utilizing Ultrasound Signal (US) is investigated. First US were applied on Bio-Composite Material heated to different temperature and the reflected signal is recorded. Then auto correlation method is used to address the max correlation coefficient between the detected signal at certain temperature and the recorded data. Simulation results show that the method is successfully detecting temperature between 25°C and 200°C.