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Articles 1 - 13 of 13
Full-Text Articles in Physical Sciences and Mathematics
Observations Of Reduced Turbulence And Wave Activity In The Arctic Middle Atmosphere Following The January 2015 Sudden Stratospheric Warming, Colin C. Triplett, Aroh Barjatya, Jintai Li, Richard L. Collins, Gerald A. Lehmacher, David C. Fritts, Boris Strelnikov, Franz-Josef Lübken, Brentha Thurairajah, V. Lynn Harvey, Donald L. Hampton, Roger H. Varney
Observations Of Reduced Turbulence And Wave Activity In The Arctic Middle Atmosphere Following The January 2015 Sudden Stratospheric Warming, Colin C. Triplett, Aroh Barjatya, Jintai Li, Richard L. Collins, Gerald A. Lehmacher, David C. Fritts, Boris Strelnikov, Franz-Josef Lübken, Brentha Thurairajah, V. Lynn Harvey, Donald L. Hampton, Roger H. Varney
Publications
Measurements of turbulence and waves were made as part of the Mesosphere-Lower Thermosphere Turbulence Experiment (MTeX) on the night of 25–26 January 2015 at Poker Flat Research Range, Chatanika, Alaska (65°N, 147°W). Rocket-borne ionization gauge measurements revealed turbulence in the 70- to 88-km altitude region with energy dissipation rates between 0.1 and 24 mW/kg with an average value of 2.6 mW/kg. The eddy diffusion coefficient varied between 0.3 and 134 m2/s with an average value of 10 m2/s. Turbulence was detected around mesospheric inversion layers (MILs) in both the topside and bottomside of the MILs. These …
Low-Latitude Scintillation Weakening During Sudden Stratospheric Warming Events, E. R. De Paula, O. F. Jonah, A. O. Moraes, E. A. Kherani, B. G. Fejer, M. A. Abdu, M.T. A.H. Muella, I. S. Batista, S. L.G. Dutra, R. R. Paes
Low-Latitude Scintillation Weakening During Sudden Stratospheric Warming Events, E. R. De Paula, O. F. Jonah, A. O. Moraes, E. A. Kherani, B. G. Fejer, M. A. Abdu, M.T. A.H. Muella, I. S. Batista, S. L.G. Dutra, R. R. Paes
All Physics Faculty Publications
Global Positioning System (GPS) L1-frequency (1.575 GHz) amplitude scintillations at São José dos Campos (23.1°S, 45.8°W, dip latitude 17.3°S), located under the southern crest of the equatorial ionization anomaly, are analyzed during the Northern Hemisphere winter sudden stratospheric warming (SSW) events of 2001/2002, 2002/2003, and 2012/2013. The events occurred during a period when moderate to strong scintillations are normally observed in the Brazilian longitude sector. The selected SSW events were of moderate and major categories and under low Kp conditions. The most important result of the current study is the long-lasting (many weeks) weakening of scintillation amplitudes at this low-latitude …
Sensor Data And Perception: Can Sensors Play 20 Questions, Cory Andrew Henson
Sensor Data And Perception: Can Sensors Play 20 Questions, Cory Andrew Henson
Kno.e.sis Publications
Currently, there are many sensors collecting information about our environment, leading to an overwhelming number of observations that must be analyzed and explained in order to achieve situation awareness. As perceptual beings, we are also constantly inundated with sensory data, yet we are able to make sense of our environment with relative ease. Why is the task of perception so easy for us, and so hard for machines; and could this have anything to do with how we play the game 20 Questions?
An Ontological Representation Of Time Series Observations On The Semantic Sensor Web, Cory Andrew Henson, Holger Neuhaus, Amit P. Sheth, Krishnaprasad Thirunarayan, Rajkumar Buyya
An Ontological Representation Of Time Series Observations On The Semantic Sensor Web, Cory Andrew Henson, Holger Neuhaus, Amit P. Sheth, Krishnaprasad Thirunarayan, Rajkumar Buyya
Kno.e.sis Publications
Time series observations are a common method of collecting sensor data. The Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) provides a standard representation for time series observations within the Observations and Measurements language, and therefore is in heavy use on the Sensor Web. By providing a common model, Observations and Measurements (O&M) facilitates syntax-level integration, but lacks the ability to facilitate semantic-level integration. This inability can cause problems with interoperability between disparate sensor networks that may have subtle variations in their sensing methods. An ontological representation of time series observations could provide a more expressive model and resolve problems …
Situation Awareness Via Abductive Reasoning For Semantic Sensor Data: A Preliminary Report, Krishnaprasad Thirunarayan, Cory Andrew Henson, Amit P. Sheth
Situation Awareness Via Abductive Reasoning For Semantic Sensor Data: A Preliminary Report, Krishnaprasad Thirunarayan, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
Semantic sensor Web enhances raw sensor data with spatial, temporal, and thematic annotations to enable high-level reasoning. In this paper, we explore how abductive reasoning framework can benefit formalization and interpretation of sensor data to garner situation awareness. Specifically, we show how abductive logic programming techniques, in conjunction with symbolic knowledge rules, can be used to detect inconsistent sensor data and to generate human accessible description of the state of the world from consistent subset of the sensor data. We also show how trust/belief information can be incorporated into the interpreter to enhance reliability. For concreteness, we formalize weather domain …
Semsos: Semantic Sensor Observation Service, Cory Andrew Henson, Josh Pschorr, Amit P. Sheth, Krishnaprasad Thirunarayan
Semsos: Semantic Sensor Observation Service, Cory Andrew Henson, Josh Pschorr, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
Sensor observation service (SOS) is a Web service specification defined by the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) group in order to standardize the way sensors and sensor data are discovered and accessed on the Web. This standard goes a long way in providing interoperability between repositories of heterogeneous sensor data and applications that use this data. Many of these applications, however, are ill equipped at handling raw sensor data as provided by SOS and require actionable knowledge of the environment in order to be practically useful. There are two approaches to deal with this obstacle, make the …
Semantic Sensor Web, Amit P. Sheth, Cory Andrew Henson
Semantic Sensor Web, Amit P. Sheth, Cory Andrew Henson
Kno.e.sis Publications
No abstract provided.
Semantic Sensor Web, Cory Andrew Henson
Semantic Sensor Web, Amit P. Sheth, Satya S. Sahoo
Semantic Sensor Web, Amit P. Sheth, Satya S. Sahoo
Kno.e.sis Publications
Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the semantic sensor Web (SSW) proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for …
Semantic Sensor Web, Amit P. Sheth
Sensor Data Management, Cory Andrew Henson
Sensor Data Management, Cory Andrew Henson
Kno.e.sis Publications
No abstract provided.
Sensor Networks Survey, Cory Andrew Henson, Satya S. Sahoo
Sensor Networks Survey, Cory Andrew Henson, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.
Survey Of Current Sensor Network Data Management Frameworks, Cory Henson, Satya S. Sahoo
Survey Of Current Sensor Network Data Management Frameworks, Cory Henson, Satya S. Sahoo
Kno.e.sis Publications
No abstract provided.