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|a 004.6
|2 23
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|a Gajjar, Manish J.,
|e author.
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|a Mobile sensors and context-aware computing /
|c Manish J. Gajjar.
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|a Cambridge, MA :
|b Morgan Kaufmann is an imprint of Elsevier,
|c 2017.
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|c �2017
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
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|a Includes index.
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|a Online resource; title from PDF title page (ScienceDirect, viewed March 3, 2017).
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|a Front Cover; Mobile Sensors and Context-Aware Computing; Copyright Page; Dedication; Contents; Preface; Acknowledgments; 1 Introduction; Definition of Mobile Computing; Constraints and the Challenges Faced by Mobile Computing Systems; Resource Poor; Less Secured/Reliable; Intermittent Connectivity; Energy Constrained; Historical Perspectives and the Influences of Market; Enhanced User Experience; Improved Technology; New Form Factors; Increased Connectivity/Computing Options; Market Trends and Growth Areas; New Sensor Technology and Products; Sensor Fusion; New Application Areas; References.
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|a 2 Context-aware computingContext-Aware Computing; Levels of Interactions for Context-Aware Infrastructure; Ubiquitous Computing; Challenges of Ubiquitous Computing; Limitations of wireless discovery; User interface adaptation; Location-aware computing; Context; Computing Context; Passive Versus Active Context; Context-Aware Applications; Location Awareness; Location Sources in Mobile Phones; GNSS (Global Navigation Satellite System); Wireless Geo; Sensors; Localization Algorithms; Angle of Arrival; Time of Arrival; Time Difference of Arrival; Received Signal Strength; References.
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|a 3 Sensors and actuatorsTerminology Overview; Sensor Ecosystem Overview; Location-Based Sensors; Accelerometer; g-Force, axes, coordinate system; Unit of measurement; Gravity contribution, device behavior resting on a surface and free fall; Case 1: Stationary car on a flat road; Case 2: Object in free fall; Case 3: Body moving downward; Tilt sensitivity and accelerometer orientation; The effect of tilt on accelerometer measurements; One-axis tilt sensing; Two-axis tilt sensing; Case 1: Sensor position: Vertical; Case 2: Sensor position: Horizontal; Three-axis tilt sensing; Gyroscopes.
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|a Mechanical gyroscopesComponents of a gyroscope and axis of freedom; Gyroscopes precession; Proximity Sensor; Workings of a inductive proximity sensor; Workings of a capacitive proximity sensor; Workings of a photoelectric proximity sensor; Workings of a magnetic proximity sensor; Pressure Sensor; Workings of a pressure sensor; Touch Sensors; Touch sensors based on working principles; Ultrasound/surface acoustic wave touch sensors; Capacitive touch sensors; Resistive touch sensors; Biosensors; ECG working principles; Example heart rate estimation algorithm; References; 4 Sensor hubs.
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|a Introduction to Sensor HubsDedicated Microcontroller Unit; Application Processor-Based Sensor Hub; Sensor-Based Hub With Micro Controller Unit; FPGA-Based Sensor Hub; Atmel SAM D20 Sensor Hub With Micro Controller Unit; Cortex-M0+ Processor and Its Peripherals; Device Service Unit; Power Management Unit; System Controller; Watchdog Timer; Real-Time Counter; External Interrupt Controller; Serial Communication Interface; Intel Moorefield Platform (Application Processor-Based Sensor Hub); Integrated Sensor Hub; Integrated sensor hub hardware architecture; Integrated sensor hub power management.
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|a Includes bibliographical references and index.
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|a Mobile Sensors and Context-Aware Computing is a useful guide that explains how hardware, software, sensors, and operating systems converge to create a new generation of context-aware mobile applications. This cohesive guide to the mobile computing landscape demonstrates innovative mobile and sensor solutions for platforms that deliver enhanced, personalized user experiences, with examples including the fast-growing domains of mobile health and vehicular networking. Users will learn how the convergence of mobile and sensors facilitates cyber-physical systems and the Internet of Things, and how applications which directly interact with the physical world are becoming more and more compatible. The authors cover both the platform components and key issues of security, privacy, power management, and wireless interaction with other systems. Shows how sensor validation, calibration, and integration impact application design and power management Explains specific implementations for pervasive and context-aware computing, such as navigation and timing Demonstrates how mobile applications can satisfy usability concerns, such as know me, free me, link me, and express me Covers a broad range of application areas, including ad-hoc networking, gaming, and photography.
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|f Copyright #169: Elsevier Science Technology
|g 2017
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650 |
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|a Wireless sensor networks.
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|a Context-aware computing.
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|a R�eseaux de capteurs sans fil.
|0 (CaQQLa)000267189
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|a Informatique sensible au contexte.
|0 (CaQQLa)000264308
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|a COMPUTERS
|x Networking
|x General.
|2 bisacsh
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|a COMPUTERS
|x Computer Science.
|2 bisacsh
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|a COMPUTERS
|x Data Transmission Systems
|x Wireless.
|2 bisacsh
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|a Context-aware computing
|2 fast
|0 (OCoLC)fst01746610
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|a Wireless sensor networks
|2 fast
|0 (OCoLC)fst01746575
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|u https://sciencedirect.uam.elogim.com/science/book/9780128016602
|z Texto completo
|