327
Index
A
AAA, see Authentication, authorization, and
accounting
Activity recognition, 161
Advanced Research Projects Agency Network
(ARPANET), 178
AI, see Artificial intelligence, IoT and
Amazon, 81
Ambient assisted living (AAL), 139–165
activity classification, 143
activity recognition, 161
ambient intelligence, 155–157, 161
analytics in IoT, 150–152
applications, 162–163
architecture, 147–150
behavior determination, 144–145
cognitive AAL, 159–162
communication, 148
data marts, 155
electronic health record system, 155
fall detection, 142–143
health care, future of IoT in, 152
health care, IoT analytics in, 150–151
health-care analytics solutions and
pitfalls, 154–155
innovative user interface development, 144
location tracking, 144
sensors and devices, 141–145
smart homes, 161
software engineering approach, 157–159
telemonitoring of vital-parameters, 144
transforming health care with the IoT, 151
transforming raw data into meaningful
analytics, 152–154
wearable sensors, 145–147
wireless sensors networks, 144
ANT (Network), 195
Application programming interface (API),
64, 79, 124
Area under curve (AUC), 108
Armbands, 19
ARPANET, see Advanced Research Projects
Agency Network
Artificial intelligence (AI), IoT and, 41–58
Canny kernel, 49
data integration from multiple sources, 44
DCNN layers and functions, 49–50
deep learning with CNN, 49
deep learning and its role for IoT, 46–48
device diversity, 45
device management, 45
experimental results and discussion, 52–55
feature maps, 50
fog clouding, 46
future scope, 56–57
Gabor kernel, 49
Internet of insecure things, 42
IoT basics, 44–45
IoT challenges and capabilities, 45
machine learning, 43
proposed methodology and datasets used,
48–52
Reference Energy Disaggregation Data set, 52
Residential Energy Consumption Survey, 52
smart grid, 50–51
training DCNN, 49
UMass Smart* microgrid data set, 51
working principles of IoT, 42
AS, see Autonomous system
AsianAvenue.com, 81
Asymmetric key cryptography, 199
Authentication, authorization, and accounting
(AAA), 170
Autism spectrum disorders (ASDs), issues of
children affected by, 295–325; see also
IoT apps for children with ASDs
background and functionality of IoT
solutions, 298–299
benefits of using assistive IoT technologies, 322
children with special needs, 297–298
current developments and applications of
IoT technologies, 302
description of ASD, 297
future scope, 322
head-mounted display products
(Google Glass), 316
high technology, 302
IoT apps for children with ASDs, 316–221
low technology, 300
mid technology, 301
strategies for use of IoT and media-based
tools, 300–302
technology needs to assist children with
autism, 298
Index
A
AAA, see Authentication, authorization, and
accounting
Activity recognition, 161
Advanced Research Projects Agency Network
(ARPANET), 178
AI, see Artificial intelligence, IoT and
Amazon, 81
Ambient assisted living (AAL), 139–165
activity classification, 143
activity recognition, 161
ambient intelligence, 155–157, 161
analytics in IoT, 150–152
applications, 162–163
architecture, 147–150
behavior determination, 144–145
cognitive AAL, 159–162
communication, 148
data marts, 155
electronic health record system, 155
fall detection, 142–143
health care, future of IoT in, 152
health care, IoT analytics in, 150–151
health-care analytics solutions and
pitfalls, 154–155
innovative user interface development, 144
location tracking, 144
sensors and devices, 141–145
smart homes, 161
software engineering approach, 157–159
telemonitoring of vital-parameters, 144
transforming health care with the IoT, 151
transforming raw data into meaningful
analytics, 152–154
wearable sensors, 145–147
wireless sensors networks, 144
ANT (Network), 195
Application programming interface (API),
64, 79, 124
Area under curve (AUC), 108
Armbands, 19
ARPANET, see Advanced Research Projects
Agency Network
Artificial intelligence (AI), IoT and, 41–58
Canny kernel, 49
data integration from multiple sources, 44
DCNN layers and functions, 49–50
deep learning with CNN, 49
deep learning and its role for IoT, 46–48
device diversity, 45
device management, 45
experimental results and discussion, 52–55
feature maps, 50
fog clouding, 46
future scope, 56–57
Gabor kernel, 49
Internet of insecure things, 42
IoT basics, 44–45
IoT challenges and capabilities, 45
machine learning, 43
proposed methodology and datasets used,
48–52
Reference Energy Disaggregation Data set, 52
Residential Energy Consumption Survey, 52
smart grid, 50–51
training DCNN, 49
UMass Smart* microgrid data set, 51
working principles of IoT, 42
AS, see Autonomous system
AsianAvenue.com, 81
Asymmetric key cryptography, 199
Authentication, authorization, and accounting
(AAA), 170
Autism spectrum disorders (ASDs), issues of
children affected by, 295–325; see also
IoT apps for children with ASDs
background and functionality of IoT
solutions, 298–299
benefits of using assistive IoT technologies, 322
children with special needs, 297–298
current developments and applications of
IoT technologies, 302
description of ASD, 297
future scope, 322
head-mounted display products
(Google Glass), 316
high technology, 302
IoT apps for children with ASDs, 316–221
low technology, 300
mid technology, 301
strategies for use of IoT and media-based
tools, 300–302
technology needs to assist children with
autism, 298