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Data Fusion for WSN Using Probabilistic Method and Particle Filter: A technique to reduce your sensor data - Tapa blanda
Sinopsis
We have seen a huge increase in the use and application of a tiny device called a sensor in a number of fields. A single network may consist of many tiny sensors that sense different or same types of data. All the data sensed may vary due to data inaccuracy, inconsistency, incorrectness and imperfect so a method should be developed to get the most accurate and correct result. Data fusion is the approach by which we can get the near correct results. In this work, I have simulated three methods and two algorithms to get the best posterior data. All the methods were simulated and the result shows how one can reduce error from sensed data of sensors and predict future data based on previous data considering types of error possible in an environment.
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Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We have seen a huge increase in the use and application of a tiny device called a sensor in a number of fields. A single network may consist of many tiny sensors that sense different or same types of data. All the data sensed may vary due to data inaccuracy, inconsistency, incorrectness and imperfect so a method should be developed to get the most accurate and correct result. Data fusion is the approach by which we can get the near correct results. In this work, I have simulated three methods and two algorithms to get the best posterior data. All the methods were simulated and the result shows how one can reduce error from sensed data of sensors and predict future data based on previous data considering types of error possible in an environment. 76 pp. Englisch. Nº de ref. del artículo: 9786138238058
Cantidad disponible: 2 disponibles
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Data Fusion for WSN Using Probabilistic Method and Particle Filter : A technique to reduce your sensor data
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We have seen a huge increase in the use and application of a tiny device called a sensor in a number of fields. A single network may consist of many tiny sensors that sense different or same types of data. All the data sensed may vary due to data inaccuracy, inconsistency, incorrectness and imperfect so a method should be developed to get the most accurate and correct result. Data fusion is the approach by which we can get the near correct results. In this work, I have simulated three methods and two algorithms to get the best posterior data. All the methods were simulated and the result shows how one can reduce error from sensed data of sensors and predict future data based on previous data considering types of error possible in an environment. Nº de ref. del artículo: 9786138238058
Cantidad disponible: 1 disponibles
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Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel NilayNilay Patel is a Lecturer at R.C.Technical Institute and joined academic profession 2016. He has completed post graduation in computer engineering from BVM Engg. College, Anand, Gujarat in 2015 and graduation from CITC, Ch. Nº de ref. del artículo: 385661224
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Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP Lambert Academic Publishing, 2019
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26386478488
Cantidad disponible: 4 disponibles
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Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP Lambert Academic Publishing, 2019
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Tapa blanda
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: 394169927
Cantidad disponible: 4 disponibles
Imagen de archivo
Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP Lambert Academic Publishing, 2019
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Tapa blanda
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18386478482
Cantidad disponible: 4 disponibles
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Data Fusion for WSN Using Probabilistic Method and Particle Filter
Publicado por
LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6138238052
ISBN 13: 9786138238058
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -We have seen a huge increase in the use and application of a tiny device called a sensor in a number of fields. A single network may consist of many tiny sensors that sense different or same types of data. All the data sensed may vary due to data inaccuracy, inconsistency, incorrectness and imperfect so a method should be developed to get the most accurate and correct result. Data fusion is the approach by which we can get the near correct results. In this work, I have simulated three methods and two algorithms to get the best posterior data. All the methods were simulated and the result shows how one can reduce error from sensed data of sensors and predict future data based on previous data considering types of error possible in an environment.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Nº de ref. del artículo: 9786138238058
Cantidad disponible: 2 disponibles