The Experts below are selected from a list of 98007 Experts worldwide ranked by ideXlab platform
J. W. Harvey - One of the best experts on this subject based on the ideXlab platform.
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solar wind forecasting with coronal holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang–Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best 1-month period, and it has a linear correlation coefficient of ∼0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
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Solar Wind Forecasting with Coronal Holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
Stuart J. Robbins - One of the best experts on this subject based on the ideXlab platform.
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solar wind forecasting with coronal holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang–Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best 1-month period, and it has a linear correlation coefficient of ∼0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
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Solar Wind Forecasting with Coronal Holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
Yong Guan - One of the best experts on this subject based on the ideXlab platform.
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COTA : A robust multi-hop localization scheme in wireless sensor networks
Lecture Notes in Computer Science, 2006Co-Authors: Yawen Wei, Yong GuanAbstract:In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a robust multi-hop localization scheme, namely COTA, to mitigate various attacks in wireless sensor networks. In this scheme, each localized sensor generates a Confidence TAg to quantify the quality of its Estimated Location and broadcasts both the confidence tag and the Estimated Location in reference messages. When receiving sufficient number of references, an unlocalized sensor filters out bad references and weighs the remaining ones according to their tags. Once Location determination is done, the sensor generates its own confidence tag from the indicator of its localization error. By properly setting the filtering metrics and computing the confidence tags, COTA can prevent the proliferation of Location errors and achieves accurate Location estimations and high localized percentage for sensor networks. To our knowledge, ours is the first work to address the security-aware multi-hop localization problem. We finally present security analysis and simulations to evaluate the effectiveness of COTA.
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DCOSS - COTA: a robust multi-hop localization scheme in wireless sensor networks
Distributed Computing in Sensor Systems, 2006Co-Authors: Yawen Wei, Yong GuanAbstract:In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a robust multi-hop localization scheme, namely COTA, to mitigate various attacks in wireless sensor networks. In this scheme, each localized sensor generates a COnfidence TAg to quantify the quality of its Estimated Location and broadcasts both the confidence tag and the Estimated Location in reference messages. When receiving sufficient number of references, an unlocalized sensor filters out bad references and weighs the remaining ones according to their tags. Once Location determination is done, the sensor generates its own confidence tag from the indicator of its localization error. By properly setting the filtering metrics and computing the confidence tags, COTA can prevent the proliferation of Location errors and achieves accurate Location estimations and high localized percentage for sensor networks. To our knowledge, ours is the first work to address the security-aware multi-hop localization problem. We finally present security analysis and simulations to evaluate the effectiveness of COTA.
Carl J. Henney - One of the best experts on this subject based on the ideXlab platform.
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solar wind forecasting with coronal holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang–Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best 1-month period, and it has a linear correlation coefficient of ∼0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
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Solar Wind Forecasting with Coronal Holes
Solar Physics, 2006Co-Authors: Stuart J. Robbins, Carl J. Henney, J. W. HarveyAbstract:An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the Estimated Location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are Estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single Estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and Location data.
Yawen Wei - One of the best experts on this subject based on the ideXlab platform.
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COTA : A robust multi-hop localization scheme in wireless sensor networks
Lecture Notes in Computer Science, 2006Co-Authors: Yawen Wei, Yong GuanAbstract:In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a robust multi-hop localization scheme, namely COTA, to mitigate various attacks in wireless sensor networks. In this scheme, each localized sensor generates a Confidence TAg to quantify the quality of its Estimated Location and broadcasts both the confidence tag and the Estimated Location in reference messages. When receiving sufficient number of references, an unlocalized sensor filters out bad references and weighs the remaining ones according to their tags. Once Location determination is done, the sensor generates its own confidence tag from the indicator of its localization error. By properly setting the filtering metrics and computing the confidence tags, COTA can prevent the proliferation of Location errors and achieves accurate Location estimations and high localized percentage for sensor networks. To our knowledge, ours is the first work to address the security-aware multi-hop localization problem. We finally present security analysis and simulations to evaluate the effectiveness of COTA.
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DCOSS - COTA: a robust multi-hop localization scheme in wireless sensor networks
Distributed Computing in Sensor Systems, 2006Co-Authors: Yawen Wei, Yong GuanAbstract:In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a robust multi-hop localization scheme, namely COTA, to mitigate various attacks in wireless sensor networks. In this scheme, each localized sensor generates a COnfidence TAg to quantify the quality of its Estimated Location and broadcasts both the confidence tag and the Estimated Location in reference messages. When receiving sufficient number of references, an unlocalized sensor filters out bad references and weighs the remaining ones according to their tags. Once Location determination is done, the sensor generates its own confidence tag from the indicator of its localization error. By properly setting the filtering metrics and computing the confidence tags, COTA can prevent the proliferation of Location errors and achieves accurate Location estimations and high localized percentage for sensor networks. To our knowledge, ours is the first work to address the security-aware multi-hop localization problem. We finally present security analysis and simulations to evaluate the effectiveness of COTA.