The Experts below are selected from a list of 31623 Experts worldwide ranked by ideXlab platform
Nathan Everett - One of the best experts on this subject based on the ideXlab platform.
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neptune above ground storage tank inspection robot system
IEEE Robotics & Automation Magazine, 1995Co-Authors: Hagen Schempf, Brian Chemel, Nathan EverettAbstract:The Neptune system allows unmanned entry and Sensor Data Collection in above-ground storage tanks (ASTs). The Sensors are immersed in the petroleum product and uses video and ultrasonics to ascertain from the inside-out the state of corrosion of the floor and side-walls. This eliminates the need to empty or clean the tanks and also avoids the required human walk-through inspection, which results in a very sparse Data set from which the tank's state must be statistically extrapolated. >
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Neptune: Above-Ground Storage Tank Inspection Robot System
IEEE Robotics and Automation Magazine, 1995Co-Authors: Hagen Schempf, Brian Chemel, Nathan EverettAbstract:The Neptune system is a mobile robot system used to remotely inspect above-ground storage tanks (ASTs) containing petroleum products. Neptune ascertains the state of corrosion of the floor and side-walls according to the guidelines laid out by the American Petroleum Institute (API). The robot system allows unmanned entry and Sensor Data Collection in ASTs without the need to empty or clean the tanks nor the required human walk-through inspection. The complete system comprises: a robot crawler vehicle suitable for classified locations which carries visual and ultrasonic Sensors; a deployment pod atop the tank which lowers and retrieves the crawler; an in-tank acoustic positioning system to chart and control the location of the robot; and an external remote control console utilizing commercial and custom software for display, planning, and control tasks. The crawler pod and navigation systems are all designed for certification in such hazardous environments, classified as Class I, Division I, Group D
Carles Gomez - One of the best experts on this subject based on the ideXlab platform.
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Opportunistic Sensor Data Collection with Bluetooth Low Energy
Sensors, 2017Co-Authors: Sergio Aguilar, Rafael Vidal, Carles GomezAbstract:Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its widespread presence in smartphones, wearables and other consumer electronics devices. This fact can be leveraged to carry out opportunistic Sensor Data Collection (OSDC) in scenarios where a Sensor node cannot communicate with infrastructure nodes. In such cases, a mobile entity (e.g., a pedestrian or a vehicle) equipped with a BLE-enabled device can collect the Data obtained by the Sensor node when both are within direct communication range. In this paper, we characterize, both analytically and experimentally, the performance and trade-offs of BLE as a technology for OSDC, for the two main identified approaches, and considering the impact of its most crucial configuration parameters. Results show that a BLE Sensor node running on a coin cell battery can achieve a lifetime beyond one year while transferring around 10 Mbit/day, in realistic OSDC scenarios.
Hagen Schempf - One of the best experts on this subject based on the ideXlab platform.
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neptune above ground storage tank inspection robot system
IEEE Robotics & Automation Magazine, 1995Co-Authors: Hagen Schempf, Brian Chemel, Nathan EverettAbstract:The Neptune system allows unmanned entry and Sensor Data Collection in above-ground storage tanks (ASTs). The Sensors are immersed in the petroleum product and uses video and ultrasonics to ascertain from the inside-out the state of corrosion of the floor and side-walls. This eliminates the need to empty or clean the tanks and also avoids the required human walk-through inspection, which results in a very sparse Data set from which the tank's state must be statistically extrapolated. >
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Neptune: Above-Ground Storage Tank Inspection Robot System
IEEE Robotics and Automation Magazine, 1995Co-Authors: Hagen Schempf, Brian Chemel, Nathan EverettAbstract:The Neptune system is a mobile robot system used to remotely inspect above-ground storage tanks (ASTs) containing petroleum products. Neptune ascertains the state of corrosion of the floor and side-walls according to the guidelines laid out by the American Petroleum Institute (API). The robot system allows unmanned entry and Sensor Data Collection in ASTs without the need to empty or clean the tanks nor the required human walk-through inspection. The complete system comprises: a robot crawler vehicle suitable for classified locations which carries visual and ultrasonic Sensors; a deployment pod atop the tank which lowers and retrieves the crawler; an in-tank acoustic positioning system to chart and control the location of the robot; and an external remote control console utilizing commercial and custom software for display, planning, and control tasks. The crawler pod and navigation systems are all designed for certification in such hazardous environments, classified as Class I, Division I, Group D
Cecilia Mascolo - One of the best experts on this subject based on the ideXlab platform.
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open source smartphone libraries for computational social science
Ubiquitous Computing, 2013Co-Authors: Neal Lathia, Kiran K. Rachuri, Cecilia Mascolo, George RoussosAbstract:The ubiquity of Sensor-rich and computationally powerful smartphones makes them an ideal platform for conducting social and behavioural research. However, building Sensor Data Collection tools remains arduous and challenging: it requires an understanding of the varying Sensor programming interfaces as well as the research issues related to building Sensor-sampling systems. To alleviate this problem and facilitate the development of social sensing and Data Collection applications, we are developing a set of open-source smartphone libraries to collect, store and transfer, and query Sensor Data. Furthermore, we have also developed a library that can trigger notifications based on time or Sensor events to assist experience sampling methods. This paper presents these libraries' architecture, initial feedback from developers using it, and a sensing application that we built using them to study daily affect.
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Opportunistic Mobile Sensor Data Collection with SCAR
2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, 2007Co-Authors: Bence Pásztor, Mirco Musolesi, Cecilia MascoloAbstract:Sensors are now embedded in all sorts of devices (such as phones and PDAs) and attached to many moving things such as robots, vehicles and animals. The Collection of Data from these mobile Sensors presents challenges related to the variability of the topology of the Sensor network and the need to limit communication (for energy or bandwidth saving). Fortunately, the Data collected, despite considerable, is often delay tolerant and its delivery to the sinks is, in most cases, not time critical. We have devised SCAR, a context aware opportunistic routing protocol which allows efficient routing of Sensor Data to sinks, through selection of best paths by prediction over movement patterns and current battery level of nodes. In this paper we present the implementation of the protocol in Contiki and validate the approach through the use of the COOJA simulator with mobility traces provided by the ZebraNet Project. We compare the performance with respect to random choice based dissemination.
Sergio Aguilar - One of the best experts on this subject based on the ideXlab platform.
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Opportunistic Sensor Data Collection with Bluetooth Low Energy
Sensors, 2017Co-Authors: Sergio Aguilar, Rafael Vidal, Carles GomezAbstract:Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its widespread presence in smartphones, wearables and other consumer electronics devices. This fact can be leveraged to carry out opportunistic Sensor Data Collection (OSDC) in scenarios where a Sensor node cannot communicate with infrastructure nodes. In such cases, a mobile entity (e.g., a pedestrian or a vehicle) equipped with a BLE-enabled device can collect the Data obtained by the Sensor node when both are within direct communication range. In this paper, we characterize, both analytically and experimentally, the performance and trade-offs of BLE as a technology for OSDC, for the two main identified approaches, and considering the impact of its most crucial configuration parameters. Results show that a BLE Sensor node running on a coin cell battery can achieve a lifetime beyond one year while transferring around 10 Mbit/day, in realistic OSDC scenarios.
