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Making sense of sensors: implementing a knowledge pipeline
Inhaltstyp (RDA) Text
Medientyp (RDA) ohne Hilfsmittel zu benutzen
Datenträgertyp (RDA) Band
1. Person/Familie Tickoo, Omesh [VerfasserIn]
2. Person/Familie Iyer, Ravishankar K. [VerfasserIn]
Titel Making sense of sensors: implementing a knowledge pipeline
Verantw.-ang. Omesh Tickoo, Ravi Iyer
Verlagsort (RDA) New York, NY
Verlag (RDA) Apress, Springer Science+Business Media
E-Jahr 2017
Umfangsangabe xiii, 117 Seiten : Illustrationen, Diagramme
Formatangabe 154 x 236 x 12
Titel der Serie For professionals by professionals
Weitere Angaben Distributed worldwide by Springer Science+Business Media
Hinw. auf parallele Ausg. Erscheint auch als (Online-Ausgabe): Tickoo, Omesh: Making sense of sensors
ISBN 978-1-4302-6592-4 : Paperback
Bezugswerk 99
Link-Text Inhaltsverzeichnis
Bezugswerk Inhaltsverzeichnis
Bezugswerk 99
Schlagwort / lok. Software
Inhaltliche Zsfg. This book outlines the common architectures used for deriving meaningful data from sensors. In today's world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, internet-of-things, and other mobile devices. This book provides the reader with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management
2. Inhaltliche Zsfg. Chapter 1: Introducing the Pipeline -- Chapter 2: From data to recognition -- Chapter 3: Multimodal recognition -- Chapter 4: Contextual recognition -- Chapter 5: Extracting and representing relationships -- Chapter 6: Knowledge and ontologies -- Chapter 7: End-to-end system architecture implications
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