Environmental Parameters

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 55080 Experts worldwide ranked by ideXlab platform

D.w. Tufts - One of the best experts on this subject based on the ideXlab platform.

  • Matched-field localization with many uncertain Environmental Parameters: experimental data results
    1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings, 1996
    Co-Authors: B.f. Harrison, R.j. Vaccaro, D.w. Tufts
    Abstract:

    Matched-field source localization methods can be sensitive to Environmental parameter mismatch. In this paper, a source localization method which is robust to Environmental parameter uncertainty is presented. This method allows for a family of propagation models based on the uncertainty intervals of the Environmental-Parameters. It is a computationally efficient approximation to a full maximum-likelihood search which can be followed by a local exact maximum-likelihood search. The effectiveness of this method is demonstrated using experimental data from the Mediterranean Sea.

  • ICASSP - Matched-field localization with many uncertain Environmental Parameters: experimental data results
    1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings, 1996
    Co-Authors: B.f. Harrison, R.j. Vaccaro, D.w. Tufts
    Abstract:

    Matched-field source localization methods can be sensitive to Environmental parameter mismatch. In this paper, a source localization method which is robust to Environmental parameter uncertainty is presented. This method allows for a family of propagation models based on the uncertainty intervals of the Environmental-Parameters. It is a computationally efficient approximation to a full maximum-likelihood search which can be followed by a local exact maximum-likelihood search. The effectiveness of this method is demonstrated using experimental data from the Mediterranean Sea.

Vesna Borozan - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Parameters monitoring in precision agriculture using wireless sensor networks
    Journal of Cleaner Production, 2015
    Co-Authors: Mare Srbinovska, Cvetan Gavrovski, Vladimir Dimcev, Aleksandra Krkoleva, Vesna Borozan
    Abstract:

    Abstract The 2011 EU Common Agricultural Policy aims to strengthen the competitiveness of the agricultural sector, to promote innovation, contribute to Environmental protection and to support jobs and growth in rural areas. The consecutive reforms in agricultural policy have created adequate environment for developing and implementing innovative, Environmentally friendly farming methods, allowing the farmers to increase the production and manage the local environment, which is essential for the sustainable development of the agricultural sector. In this paper, wireless sensor network architecture for vegetable greenhouse is proposed in order to achieve scientific cultivation and lower management costs from the aspect of Environmental monitoring. According to the analysis of the features of greenhouse environment, a practical and low-cost greenhouse monitoring system is designed based on wireless sensor network technology in order to monitor key Environmental Parameters such as the temperature, humidity and illumination.

B.f. Harrison - One of the best experts on this subject based on the ideXlab platform.

  • Matched-field localization with many uncertain Environmental Parameters: experimental data results
    1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings, 1996
    Co-Authors: B.f. Harrison, R.j. Vaccaro, D.w. Tufts
    Abstract:

    Matched-field source localization methods can be sensitive to Environmental parameter mismatch. In this paper, a source localization method which is robust to Environmental parameter uncertainty is presented. This method allows for a family of propagation models based on the uncertainty intervals of the Environmental-Parameters. It is a computationally efficient approximation to a full maximum-likelihood search which can be followed by a local exact maximum-likelihood search. The effectiveness of this method is demonstrated using experimental data from the Mediterranean Sea.

  • ICASSP - Matched-field localization with many uncertain Environmental Parameters: experimental data results
    1996 IEEE International Conference on Acoustics Speech and Signal Processing Conference Proceedings, 1996
    Co-Authors: B.f. Harrison, R.j. Vaccaro, D.w. Tufts
    Abstract:

    Matched-field source localization methods can be sensitive to Environmental parameter mismatch. In this paper, a source localization method which is robust to Environmental parameter uncertainty is presented. This method allows for a family of propagation models based on the uncertainty intervals of the Environmental-Parameters. It is a computationally efficient approximation to a full maximum-likelihood search which can be followed by a local exact maximum-likelihood search. The effectiveness of this method is demonstrated using experimental data from the Mediterranean Sea.

Zhuoqi Chen - One of the best experts on this subject based on the ideXlab platform.

  • A GIS-based method for retrieving ocean Environmental Parameters of fishing grounds
    Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium 2005. IGARSS '05., 2005
    Co-Authors: Quanqin Shao, Haijun Yang, Zhuoqi Chen
    Abstract:

    The ocean Environmental Parameters of fishing ground have an important affection on the distribution and abundance of fishing ground. In this paper, a GIS-based method of retrieving the ocean Environmental Parameters of fishing ground is introduced. In case study, this method was used to study the relationships between Kuroshio path variations and CPUE of squid (Ommastrephes Bartrami) fishing ground in Northwest Pacific Ocean.

  • IGARSS - A GIS-based method for retrieving ocean Environmental Parameters of fishing grounds
    Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium 2005. IGARSS '05., 2005
    Co-Authors: Quanqin Shao, Haijun Yang, Zhuoqi Chen
    Abstract:

    The ocean Environmental Parameters of fishing ground have an important affection on the distribution and abundance of fishing ground. In this paper, a GIS-based method of retrieving the ocean Environmental Parameters of fishing ground is introduced. In case study, this method was used to study the relationships between Kuroshio path variations and CPUE of squid (Ommastrephes Bartrami) fishing ground in Northwest Pacific Ocean.

Mare Srbinovska - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Parameters monitoring in precision agriculture using wireless sensor networks
    Journal of Cleaner Production, 2015
    Co-Authors: Mare Srbinovska, Cvetan Gavrovski, Vladimir Dimcev, Aleksandra Krkoleva, Vesna Borozan
    Abstract:

    Abstract The 2011 EU Common Agricultural Policy aims to strengthen the competitiveness of the agricultural sector, to promote innovation, contribute to Environmental protection and to support jobs and growth in rural areas. The consecutive reforms in agricultural policy have created adequate environment for developing and implementing innovative, Environmentally friendly farming methods, allowing the farmers to increase the production and manage the local environment, which is essential for the sustainable development of the agricultural sector. In this paper, wireless sensor network architecture for vegetable greenhouse is proposed in order to achieve scientific cultivation and lower management costs from the aspect of Environmental monitoring. According to the analysis of the features of greenhouse environment, a practical and low-cost greenhouse monitoring system is designed based on wireless sensor network technology in order to monitor key Environmental Parameters such as the temperature, humidity and illumination.