Outlier and Event Detection in Harsh Environments: An application of Wireless Sensor Networks - Softcover
Synopsis
The applications of wireless sensor networks in harsh environments, an aspect which has not been given extensive treatment in the literature is considered in this work. Typical examples of harsh environments are urban areas and underground mines. Among the numerous monitoring applications of wireless sensor networks this work focuses on outlier detection and event detection in harsh environments. An outlier detection technique for harsh environments should be energy efficient and able to incorporate multivariate input data type, spatiotemporal and attribute correlations, identification of an outlier as an event or error, outlier degree, outlier score, in-susceptibility to dynamic topology, non-stationarity and inhomogeneity of the environment. The objective of this work is to provide a brief analysis of the state-of-the-art outlier/event detection techniques in the context of harsh environments and build on these techniques to incorporate most of the mentioned characteristics.
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About the Author
Nauman Shahid received his Masters degree in Computer Engineering from Lahore University of Management Sciences (LUMS). Currently he is working as a Research Associate in Advanced Communication Laboratory (ADCOM, LUMS).
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Outlier and Event Detection in Harsh Environments
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LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 384841435X
ISBN 13: 9783848414352
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The applications of wireless sensor networks in harsh environments, an aspect which has not been given extensive treatment in the literature is considered in this work. Typical examples of harsh environments are urban areas and underground mines. Among the numerous monitoring applications of wireless sensor networks this work focuses on outlier detection and event detection in harsh environments. An outlier detection technique for harsh environments should be energy efficient and able to incorporate multivariate input data type, spatiotemporal and attribute correlations, identification of an outlier as an event or error, outlier degree, outlier score, in-susceptibility to dynamic topology, non-stationarity and inhomogeneity of the environment. The objective of this work is to provide a brief analysis of the state-of-the-art outlier/event detection techniques in the context of harsh environments and build on these techniques to incorporate most of the mentioned characteristics. 172 pp. Englisch. Seller Inventory # 9783848414352
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Outlier and Event Detection in Harsh Environments
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384841435X
ISBN 13: 9783848414352
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shahid NaumanNauman Shahid received his Masters degree in Computer Engineering from Lahore University of Management Sciences (LUMS). Currently he is working as a Research Associate in Advanced Communication Laboratory (ADCOM, LUMS). Seller Inventory # 5520475
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Outlier and Event Detection in Harsh Environments | An application of Wireless Sensor Networks
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384841435X
ISBN 13: 9783848414352
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Taschenbuch. Condition: Neu. Outlier and Event Detection in Harsh Environments | An application of Wireless Sensor Networks | Nauman Shahid | Taschenbuch | 172 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848414352 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106587498
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Outlier and Event Detection in Harsh Environments
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LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 384841435X
ISBN 13: 9783848414352
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The applications of wireless sensor networks in harsh environments, an aspect which has not been given extensive treatment in the literature is considered in this work. Typical examples of harsh environments are urban areas and underground mines. Among the numerous monitoring applications of wireless sensor networks this work focuses on outlier detection and event detection in harsh environments. An outlier detection technique for harsh environments should be energy efficient and able to incorporate multivariate input data type, spatiotemporal and attribute correlations, identification of an outlier as an event or error, outlier degree, outlier score, in-susceptibility to dynamic topology, non-stationarity and inhomogeneity of the environment. The objective of this work is to provide a brief analysis of the state-of-the-art outlier/event detection techniques in the context of harsh environments and build on these techniques to incorporate most of the mentioned characteristics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch. Seller Inventory # 9783848414352
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Outlier and Event Detection in Harsh Environments : An application of Wireless Sensor Networks
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384841435X
ISBN 13: 9783848414352
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The applications of wireless sensor networks in harsh environments, an aspect which has not been given extensive treatment in the literature is considered in this work. Typical examples of harsh environments are urban areas and underground mines. Among the numerous monitoring applications of wireless sensor networks this work focuses on outlier detection and event detection in harsh environments. An outlier detection technique for harsh environments should be energy efficient and able to incorporate multivariate input data type, spatiotemporal and attribute correlations, identification of an outlier as an event or error, outlier degree, outlier score, in-susceptibility to dynamic topology, non-stationarity and inhomogeneity of the environment. The objective of this work is to provide a brief analysis of the state-of-the-art outlier/event detection techniques in the context of harsh environments and build on these techniques to incorporate most of the mentioned characteristics. Seller Inventory # 9783848414352