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E-raamat: Mobile Sensors and Context-Aware Computing

(Technical Program Manager and Early Prototyping Lead, Sensor Solutions, Intel Corporation, Granite Bay, CA, USA)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 22-Feb-2017
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128017982
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 22-Feb-2017
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128017982

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Mobile Sensors and Context-Aware Computing explains how hardware, software, sensors, and operating system 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. Learn how the convergence of mobile and sensors facilitates cyber-physical systems and the Internet of things, applications which directly interact with the physical world. 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: know me, free me, link me, express me
  • Covers a broad range of application areas including ad-hoc networking, gaming, and photography

Muu info

Explains how hardware, software, sensors, and operating systems converge to create a new generation of context-aware mobile applications
Preface xiii
Acknowledgments xv
Chapter 1 Introduction
1(16)
Definition of Mobile Computing
1(2)
Constraints and the Challenges Faced by Mobile Computing Systems
3(1)
Resource Poor
3(1)
Less Secured/Reliable
4(1)
Intermittent Connectivity
4(1)
Energy Constrained
5(1)
Historical Perspectives and the Influences of Market
6(1)
Enhanced User Experience
6(1)
Improved Technology
6(1)
New Form Factors
6(1)
Increased Connectivity/Computing Options
7(1)
Market Trends and Growth Areas
7(1)
New Sensor Technology and Products
7(3)
Sensor Fusion
10(4)
New Application Areas
14(1)
References
15(2)
Chapter 2 Context-aware computing
17(20)
Context-Aware Computing
17(1)
Levels of Interactions for Context-Aware Infrastructure
18(1)
Ubiquitous Computing
19(3)
Challenges of Ubiquitous Computing
22(3)
Context
25(1)
Computing Context
25(1)
Passive Versus Active Context
25(2)
Context-Aware Applications
27(1)
Location Awareness
27(1)
Location Sources in Mobile Phones
28(1)
Localization Algorithms
29(1)
Angle of Arrival
29(1)
Time of Arrival
30(2)
Time Difference of Arrival
32(1)
Received Signal Strength
33(2)
References
35(2)
Chapter 3 Sensors and actuators
37(48)
Terminology Overview
37(2)
Sensor Ecosystem Overview
39(1)
Location-Based Sensors
39(20)
Proximity Sensor
59(7)
Pressure Sensor
66(3)
Touch Sensors
69(12)
Biosensors
81(2)
References
83(2)
Chapter 4 Sensor hubs
85(34)
Introduction to Sensor Hubs
85(1)
Dedicated Microcontroller Unit
86(1)
Application Processor-Based Sensor Hub
87(1)
Sensor-Based Hub With Micro Controller Unit
87(1)
FPGA-Based Sensor Hub
87(1)
Atmel SAM D20 Sensor Hub With Micro Controller Unit
87(2)
Cortex-M0+ Processor and Its Peripherals
89(1)
Device Service Unit
90(1)
Power Management Unit
91(1)
System Controller
92(1)
Watchdog Timer
92(4)
Real-Time Counter
96(1)
External Interrupt Controller
96(1)
Serial Communication Interface
96(2)
Intel Moorefield Platform (Application Processor-Based Sensor Hub)
98(2)
Integrated Sensor Hub
100(6)
STMicroelectronics Sensor-Based Hub With Micro Controller Unit (LIS331EB)
106(1)
Description of Blocks
106(11)
References
117(2)
Chapter 5 Power management
119(38)
Introduction
119(1)
ACPI Power States
120(1)
ACPI Global Power States
120(2)
ACPI Sleep States
122(1)
ACPI Device Power States
123(1)
Power Management in Sensors, Smartphones, and Tablets
124(1)
Android Wakelock Architecture
125(2)
Windows Connected Standby
127(1)
Hardware-Autonomous Power Gating
128(3)
Example of Power Management Architecture in Sensor
131(1)
Autonomous Power Management Architecture in Sensors
131(1)
Application-Based Power Management Architecture
131(6)
Power Management Schemes
137(10)
Power Management in a Typical Sensor Hub
147(3)
Example of Power Management in Atmel SAM G55G/SAM G55
150(4)
Xtrinsic FXLC95000CL
154(1)
References
155(2)
Chapter 6 Software, firmware, and drivers
157(34)
Introduction to Software Components
157(1)
Windows Sensor Software Stack
158(1)
Sensor Driver Configuration
159(1)
Sensor Class Extension Implementation
160(3)
Sensor States
163(1)
Sensor Fusion
164(1)
Android Sensor Software Stack
164(2)
Android Sensor Framework
166(2)
Hardware Application Layer
168(1)
Android Sensor Types and Modes
168(3)
Android Sensor Fusion/Virtual Sensors
171(1)
Sensor Hub Software and Firmware Architecture
172(1)
Viper Kernel
173(1)
Sensor Drivers
174(1)
Sensor HAL
174(1)
Sensor Core
174(4)
Sensor Client
178(1)
Protocol Interface
178(1)
Firmware and Application Loading Process
179(6)
Context-Aware Framework
185(2)
Power-Saving Firmware Architecture
187(1)
References
188(3)
Chapter 7 Sensor validation and hardware---software codesign
191(22)
Validation Strategies and Challenges
191(1)
Generic Validation Phases
192(1)
Design for Quality and Technical Readiness
192(1)
Presilicon Simulation
193(1)
Prototyping
193(1)
System Validation
194(1)
Analog Validation
194(1)
Compatibility Validation
194(1)
Software/Firmware Validation
194(1)
Product Qualification
195(1)
Silicon Debug
195(1)
Sensor Hub Presilicon Validation
196(1)
Monitor
197(1)
Checker
197(1)
Scoreboard
197(1)
Sequencer
197(1)
Driver
197(1)
Sensor Hub Prototyping
198(1)
QEMU (Quick Emulator)
198(1)
FPGA Platform
199(4)
Sensor Test Card Solutions
203(1)
Test Board With Physical Sensors
203(1)
Software Sensor Simulator
204(4)
Validation Strategies and Concepts
208(1)
Hardware---Software Codesign
208(1)
Validation Matrix and Feature-Based Validation
208(4)
References
212(1)
Chapter 8 Sensor calibration and manufacturing
213(10)
Motivation for Calibrating Sensors
213(1)
Supply-Chain Stakeholders
213(1)
Sensor Vendors
214(1)
System Designers
215(1)
System Manufacturer
215(1)
The Calibration Process
216(1)
Creating a System Model
216(1)
Analyzing Error Sources
216(1)
Designing the Calibration Process
217(1)
Dynamic Calibration
217(1)
Managing the Calibration Process and Equipment
218(1)
Single and Multiaxis Linear Calibration
218(1)
Sensor Limits and Nonlinearity
219(1)
Calibrating Sensors With Multiple Orthogonal Inputs
220(1)
Calibrating Color Sensors
220(2)
Reference
222(1)
Chapter 9 Sensor security and location privacy
223(44)
Introduction to Mobile Computing Security and Privacy
223(1)
Sensor Security
224(1)
Types of Sensor Attacks
225(1)
Security of Sensor Data
226(7)
Location Privacy
233(1)
Attack-Threat Types
234(7)
Preserving Location Privacy
241(4)
Location Privacy Preserving Methods
245(19)
References
264(3)
Chapter 10 Usability
267(36)
Need of Sensors in Mobile Computing
267(2)
OS Logo Requirements and Sensor Support
269(4)
Context- and Location-Based Services
273(2)
Sensor-Based Power Management
275(7)
Sensor-Based User Interactions
282(4)
Human---Computer Interactions: Gesture Recognition
286(6)
Sensor Usages
292(4)
A Few Sensor Examples
296(6)
References
302(1)
Chapter 11 Sensor application areas
303(28)
Introduction to Sensor Applications
303(1)
Augmented Reality
303(2)
Hardware Components of Augmented Reality
305(1)
Augmented Reality Architecture
305(1)
Applications of Augmented Reality
306(1)
Sensor Fusion for Augmented Reality
307(3)
Depth Sensors in Augmented Reality
310(1)
Sensor Applications in the Automotive Industry
311(2)
Steering Torque Sensor
313(2)
Steering Angle Sensor
315(2)
Power Steering Motor Position Sensors
317(1)
Sensor Applications in Energy Harvesting
318(1)
Components of Energy Harvesting
319(1)
Net-Zero Energy Systems
320(4)
Medical Applications of Energy Harvesting
324(1)
Sensor Applications in the Health Industry
325(1)
Heart Rate Monitoring
325(1)
Health Event Detection
326(2)
Fiber Optic Health Sensors
328(1)
References
329(2)
Index 331
Manish J. Gajjar is a technical program manager and early prototyping lead for sensor solutions at Intel Corporation He has 20 years of experience at Intel in chipsets and graphics products, including roles as validation architect, design/validation and emulation lead to post silicon validation program manager. Manish has also served on the Industry advisory board of California State University and as a faculty member there.