The Experts below are selected from a list of 1980 Experts worldwide ranked by ideXlab platform

Kanna Rajan - One of the best experts on this subject based on the ideXlab platform.

  • An experimental momentum-based front detection method for autonomous underwater vehicles
    2012 IEEE International Conference on Robotics and Automation, 2012
    Co-Authors: Jeremy Gottlieb, Rishi Graham, Thom Maughan, Frédéric Py, Gabriel Elkaim, Kanna Rajan
    Abstract:

    Fronts have been recognized as hotspots of intense biological activity and are important targets for observation to understand Coastal Ecology and transport in a changing ocean. With high spatial and temporal variability, detection and event response for frontal zones is challenging for robotic platforms like autonomous underwater vehicles (AUVs). These vehicles have shown their versatility and cost-effectiveness in using automated approaches to detect a range of features. Targeting them for in-situ observation and sampling capabilities for frontal zones then provides an important tool for characterizing rapid and episodic changes. We introduce a novel momentum-based front detection (MBFD) algorithm which utilizes a Kalman filter and a momentum accumulator function to identify significant temperature gradients associated with upwelling fronts. MBFD is designed to work at a number of levels including onboard an AUV, on-shore with a sparse real-time data stream and post-experiment on a full resolution data set gathered by a vehicle. Such a multi-layered approach plays an important role in mixed human-robot decision making for oceanographers making coordinated sampling and asset allocation strategies in large multi-robot field experiments in the Coastal ocean.

  • ICRA - An experimental momentum-based front detection method for autonomous underwater vehicles
    2012 IEEE International Conference on Robotics and Automation, 2012
    Co-Authors: Jeremy Gottlieb, Rishi Graham, Thom Maughan, Frédéric Py, Gabriel Elkaim, Kanna Rajan
    Abstract:

    Fronts have been recognized as hotspots of intense biological activity and are important targets for observation to understand Coastal Ecology and transport in a changing ocean. With high spatial and temporal variability, detection and event response for frontal zones is challenging for robotic platforms like autonomous underwater vehicles (AUVs). These vehicles have shown their versatility and cost-effectiveness in using automated approaches to detect a range of features. Targeting them for in-situ observation and sampling capabilities for frontal zones then provides an important tool for characterizing rapid and episodic changes. We introduce a novel momentum-based front detection (MBFD) algorithm which utilizes a Kalman filter and a momentum accumulator function to identify significant temperature gradients associated with upwelling fronts. MBFD is designed to work at a number of levels including onboard an AUV, on-shore with a sparse real-time data stream and post-experiment on a full resolution data set gathered by a vehicle. Such a multi-layered approach plays an important role in mixed human-robot decision making for oceanographers making coordinated sampling and asset allocation strategies in large multi-robot field experiments in the Coastal ocean.

Jeremy Gottlieb - One of the best experts on this subject based on the ideXlab platform.

  • An experimental momentum-based front detection method for autonomous underwater vehicles
    2012 IEEE International Conference on Robotics and Automation, 2012
    Co-Authors: Jeremy Gottlieb, Rishi Graham, Thom Maughan, Frédéric Py, Gabriel Elkaim, Kanna Rajan
    Abstract:

    Fronts have been recognized as hotspots of intense biological activity and are important targets for observation to understand Coastal Ecology and transport in a changing ocean. With high spatial and temporal variability, detection and event response for frontal zones is challenging for robotic platforms like autonomous underwater vehicles (AUVs). These vehicles have shown their versatility and cost-effectiveness in using automated approaches to detect a range of features. Targeting them for in-situ observation and sampling capabilities for frontal zones then provides an important tool for characterizing rapid and episodic changes. We introduce a novel momentum-based front detection (MBFD) algorithm which utilizes a Kalman filter and a momentum accumulator function to identify significant temperature gradients associated with upwelling fronts. MBFD is designed to work at a number of levels including onboard an AUV, on-shore with a sparse real-time data stream and post-experiment on a full resolution data set gathered by a vehicle. Such a multi-layered approach plays an important role in mixed human-robot decision making for oceanographers making coordinated sampling and asset allocation strategies in large multi-robot field experiments in the Coastal ocean.

  • ICRA - An experimental momentum-based front detection method for autonomous underwater vehicles
    2012 IEEE International Conference on Robotics and Automation, 2012
    Co-Authors: Jeremy Gottlieb, Rishi Graham, Thom Maughan, Frédéric Py, Gabriel Elkaim, Kanna Rajan
    Abstract:

    Fronts have been recognized as hotspots of intense biological activity and are important targets for observation to understand Coastal Ecology and transport in a changing ocean. With high spatial and temporal variability, detection and event response for frontal zones is challenging for robotic platforms like autonomous underwater vehicles (AUVs). These vehicles have shown their versatility and cost-effectiveness in using automated approaches to detect a range of features. Targeting them for in-situ observation and sampling capabilities for frontal zones then provides an important tool for characterizing rapid and episodic changes. We introduce a novel momentum-based front detection (MBFD) algorithm which utilizes a Kalman filter and a momentum accumulator function to identify significant temperature gradients associated with upwelling fronts. MBFD is designed to work at a number of levels including onboard an AUV, on-shore with a sparse real-time data stream and post-experiment on a full resolution data set gathered by a vehicle. Such a multi-layered approach plays an important role in mixed human-robot decision making for oceanographers making coordinated sampling and asset allocation strategies in large multi-robot field experiments in the Coastal ocean.

Alain F Vezina - One of the best experts on this subject based on the ideXlab platform.

  • trophic networks how do theories link ecosystem structure and functioning to stability properties a review
    Ecological Indicators, 2015
    Co-Authors: Blanche Saintbeat, Dan Baird, Harald Asmus, Ragnhild Asmus, Cedric Bacher, Stephen R Pacella, Galen A Johnson, Valerie David, Alain F Vezina
    Abstract:

    In the context of present global changes, interest in understanding how systems respond to anthropogenic environmental pressures and stress has increased. Indices that characterize ecosystem state are helpful tools for the interpretation of ecosystem responses. The central question is how to link these responses to ecosystem structure and functioning and to quantify ecosystem persistence, resistance or resilience. Quantification and characterization of trophic networks by ecological network analysis (ENA) indices is proceeding rapidly, especially in the field of Coastal Ecology. In this contribution, we review several theories that relate ecosystem structure and function to stability. The structure and functioning of ecosystems change during the maturation of ecosystems. In the first section, the maturation of ecosystems is described using thermodynamics. In the second and third parts of this paper, we define some concepts for analysing structure and functioning of food webs and discuss their relation to stability. In the last section, we describe three ENA indices and their link to stability. We demonstrate that ENA provides powerful tools for describing local stability, combining quantitative and qualitative concepts. However, it remains incomplete for describing real conservation cases that combine local and global stability.

Scott W Nixon - One of the best experts on this subject based on the ideXlab platform.

  • allometric laws and prediction in estuarine and Coastal Ecology
    Estuaries and Coasts, 2006
    Co-Authors: Lora A Harris, Carlos M Duarte, Scott W Nixon
    Abstract:

    A theoretical and quantitative framework of first principles would benefit estuarine and Coastal ecologists in search of predictions to enhance our understanding and management of marine resources. The Metabolic Theory of Ecology describes a possible unifying theory for Ecology, including mechanistically derived equations that predict scaling exponents observed in empirical, allometric relationships from individuals to ecosystems. The controversy surrounding this theory should stimulate our exploration of its potential use in the Coastal realm, where questions specific to an applied science may suggest new refinements and derivations, contributing to the overall progress of Ecology.

Valerie David - One of the best experts on this subject based on the ideXlab platform.

  • trophic networks how do theories link ecosystem structure and functioning to stability properties a review
    Ecological Indicators, 2015
    Co-Authors: Blanche Saintbeat, Dan Baird, Harald Asmus, Ragnhild Asmus, Cedric Bacher, Stephen R Pacella, Galen A Johnson, Valerie David, Alain F Vezina
    Abstract:

    In the context of present global changes, interest in understanding how systems respond to anthropogenic environmental pressures and stress has increased. Indices that characterize ecosystem state are helpful tools for the interpretation of ecosystem responses. The central question is how to link these responses to ecosystem structure and functioning and to quantify ecosystem persistence, resistance or resilience. Quantification and characterization of trophic networks by ecological network analysis (ENA) indices is proceeding rapidly, especially in the field of Coastal Ecology. In this contribution, we review several theories that relate ecosystem structure and function to stability. The structure and functioning of ecosystems change during the maturation of ecosystems. In the first section, the maturation of ecosystems is described using thermodynamics. In the second and third parts of this paper, we define some concepts for analysing structure and functioning of food webs and discuss their relation to stability. In the last section, we describe three ENA indices and their link to stability. We demonstrate that ENA provides powerful tools for describing local stability, combining quantitative and qualitative concepts. However, it remains incomplete for describing real conservation cases that combine local and global stability.