The Experts below are selected from a list of 2046 Experts worldwide ranked by ideXlab platform
Michalis Fragiadakis - One of the best experts on this subject based on the ideXlab platform.
-
Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks
Water Resources Management, 2013Co-Authors: Symeon E. Christodoulou, Anastasis Gagatsis, Sofia Kranioti, Agathoklis Agathokleous, Savvas Xanthos, Michalis FragiadakisAbstract:The work presented herein addresses the problem of sensor placement optimization in urban water distribution networks by use of an entropy-based approach, for the purpose of efficient and economically viable waterloss incident detection. The proposed method is applicable to longitudinal rather than spatial sensing, thus to devices such as acoustic, pressure, or flow sensors acting on Pipe Segments. The method utilizes the maximality, subadditivity and equivocation properties of entropy, coupled with a statistical definition of the probability of sensing within a Pipe Segment, to assign an entropy metric to each Pipe Segment and subsequently optimize the location of sensors in the network based on maximizing the total entropy in the network. The method proposed is a greedy-search heuristic.
Christian Bendicks - One of the best experts on this subject based on the ideXlab platform.
-
tracking of a handheld ultrasonic sensor for corrosion control on Pipe Segment surfaces
Advanced Concepts for Intelligent Vision Systems, 2013Co-Authors: Christian Bendicks, Erik Lilienblum, Christian Freye, Ayoub AlhamadiAbstract:The article describes a combination of optical 3-d measurement technique and ultrasonic testing for areawide acquisition of wall thickness on piping Segments. It serves the purpose to match automatically ultrasonic measurements to their 3-d positions at the examined Pipe Segment. The sensor, which is normally occluded by hand, is equipped with a cap with a number of attached LEDs. A model based approach is presented to track these LEDs and to visualise the measured wall thickness at a three-dimensional surface. Therefore the model of the cap is fitted to the Segmented image data, so that the 3-d position of the ultrasonic sensor can be derived from computed model orientation. Our approach works robustly and can build the basis for further applications in real industrial environments.
-
ACIVS - Tracking of a Handheld Ultrasonic Sensor for Corrosion Control on Pipe Segment Surfaces
Advanced Concepts for Intelligent Vision Systems, 2013Co-Authors: Christian Bendicks, Erik Lilienblum, Christian Freye, Ayoub Al-hamadiAbstract:The article describes a combination of optical 3-d measurement technique and ultrasonic testing for areawide acquisition of wall thickness on piping Segments. It serves the purpose to match automatically ultrasonic measurements to their 3-d positions at the examined Pipe Segment. The sensor, which is normally occluded by hand, is equipped with a cap with a number of attached LEDs. A model based approach is presented to track these LEDs and to visualise the measured wall thickness at a three-dimensional surface. Therefore the model of the cap is fitted to the Segmented image data, so that the 3-d position of the ultrasonic sensor can be derived from computed model orientation. Our approach works robustly and can build the basis for further applications in real industrial environments.
Ayoub Al-hamadi - One of the best experts on this subject based on the ideXlab platform.
-
ACIVS - Tracking of a Handheld Ultrasonic Sensor for Corrosion Control on Pipe Segment Surfaces
Advanced Concepts for Intelligent Vision Systems, 2013Co-Authors: Christian Bendicks, Erik Lilienblum, Christian Freye, Ayoub Al-hamadiAbstract:The article describes a combination of optical 3-d measurement technique and ultrasonic testing for areawide acquisition of wall thickness on piping Segments. It serves the purpose to match automatically ultrasonic measurements to their 3-d positions at the examined Pipe Segment. The sensor, which is normally occluded by hand, is equipped with a cap with a number of attached LEDs. A model based approach is presented to track these LEDs and to visualise the measured wall thickness at a three-dimensional surface. Therefore the model of the cap is fitted to the Segmented image data, so that the 3-d position of the ultrasonic sensor can be derived from computed model orientation. Our approach works robustly and can build the basis for further applications in real industrial environments.
Ayoub Alhamadi - One of the best experts on this subject based on the ideXlab platform.
-
tracking of a handheld ultrasonic sensor for corrosion control on Pipe Segment surfaces
Advanced Concepts for Intelligent Vision Systems, 2013Co-Authors: Christian Bendicks, Erik Lilienblum, Christian Freye, Ayoub AlhamadiAbstract:The article describes a combination of optical 3-d measurement technique and ultrasonic testing for areawide acquisition of wall thickness on piping Segments. It serves the purpose to match automatically ultrasonic measurements to their 3-d positions at the examined Pipe Segment. The sensor, which is normally occluded by hand, is equipped with a cap with a number of attached LEDs. A model based approach is presented to track these LEDs and to visualise the measured wall thickness at a three-dimensional surface. Therefore the model of the cap is fitted to the Segmented image data, so that the 3-d position of the ultrasonic sensor can be derived from computed model orientation. Our approach works robustly and can build the basis for further applications in real industrial environments.
Symeon E. Christodoulou - One of the best experts on this subject based on the ideXlab platform.
-
Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks
Water Resources Management, 2013Co-Authors: Symeon E. Christodoulou, Anastasis Gagatsis, Sofia Kranioti, Agathoklis Agathokleous, Savvas Xanthos, Michalis FragiadakisAbstract:The work presented herein addresses the problem of sensor placement optimization in urban water distribution networks by use of an entropy-based approach, for the purpose of efficient and economically viable waterloss incident detection. The proposed method is applicable to longitudinal rather than spatial sensing, thus to devices such as acoustic, pressure, or flow sensors acting on Pipe Segments. The method utilizes the maximality, subadditivity and equivocation properties of entropy, coupled with a statistical definition of the probability of sensing within a Pipe Segment, to assign an entropy metric to each Pipe Segment and subsequently optimize the location of sensors in the network based on maximizing the total entropy in the network. The method proposed is a greedy-search heuristic.