Index
A
Actionable learning methods, 615–619
Actuators
delay, 370, 372–373
electrical motors, 61–63
IoT system-of-systems, 475
and sensors, 18, 20, 30
switches and relays, 59–61
Addressing modes, 64, 87–89
Advanced analytics, 340
Advanced message queuing protocol (AMQP),
23, 151, 153, 504
Advanced microcontroller bus (AMB), 68
Advanced RISC machines (ARM)
addressing modes, 87–89
architecture, 70–73
ARMv7, 69–70
clock tree, 83–84
CPU, 69
GPIOs and interfaces (see General-purpose
input/output (GPIO))
interrupts, 84–87
low-power modes, 90–91
microcontrollers, 68
programming and debugging techniques,
92–93
RTOS, 93–94
specifications, 68
timers, 89–90
Amazon web services (AWS), 22, 39, 208,
227, 504
Ambient assisted living (AAL), 519, 531
Anomaly detection
HTM model, 534
population health management, 534
unsupervised learning model, 254
Apache Flink, 16, 192
Apache Flume, 184, 349, 350
Apache Hadoop framework, 15, 217, 321–323,
331, 354
Apache Kafka, 184–187, 224, 236, 350
Apache Nifi, 186–187
Apache Spark, 15, 192–193, 229, 333, 341,
354
Apache Storm, 15, 191, 333
API gateway, 222–223
Application layer, 106
AMQP, 153
CoAP, 153–157
ESB, 221
HTTP, 145–146
IoT applications, 55
layers/tiers, 218–219
microservice, 220–222
monolithic architecture, 219
MQTT, 149–153
OPC-UA, 158–161
REST, 147–149
SOA, 222
WebSocket, 146
XMPP, 157–158
Approximate computing, 440–442
Artificial intelligence (AI)
adaptive education, 630
health measurement and assessment,
608
in intelligent education, 618
models, 23
© Springer Nature Switzerland AG 2020
F. Firouzi et al. (eds.), Intelligent Internet of Things,
https://doi.org/10.1007/978-3-030-30367-9
637
A
Actionable learning methods, 615–619
Actuators
delay, 370, 372–373
electrical motors, 61–63
IoT system-of-systems, 475
and sensors, 18, 20, 30
switches and relays, 59–61
Addressing modes, 64, 87–89
Advanced analytics, 340
Advanced message queuing protocol (AMQP),
23, 151, 153, 504
Advanced microcontroller bus (AMB), 68
Advanced RISC machines (ARM)
addressing modes, 87–89
architecture, 70–73
ARMv7, 69–70
clock tree, 83–84
CPU, 69
GPIOs and interfaces (see General-purpose
input/output (GPIO))
interrupts, 84–87
low-power modes, 90–91
microcontrollers, 68
programming and debugging techniques,
92–93
RTOS, 93–94
specifications, 68
timers, 89–90
Amazon web services (AWS), 22, 39, 208,
227, 504
Ambient assisted living (AAL), 519, 531
Anomaly detection
HTM model, 534
population health management, 534
unsupervised learning model, 254
Apache Flink, 16, 192
Apache Flume, 184, 349, 350
Apache Hadoop framework, 15, 217, 321–323,
331, 354
Apache Kafka, 184–187, 224, 236, 350
Apache Nifi, 186–187
Apache Spark, 15, 192–193, 229, 333, 341,
354
Apache Storm, 15, 191, 333
API gateway, 222–223
Application layer, 106
AMQP, 153
CoAP, 153–157
ESB, 221
HTTP, 145–146
IoT applications, 55
layers/tiers, 218–219
microservice, 220–222
monolithic architecture, 219
MQTT, 149–153
OPC-UA, 158–161
REST, 147–149
SOA, 222
WebSocket, 146
XMPP, 157–158
Approximate computing, 440–442
Artificial intelligence (AI)
adaptive education, 630
health measurement and assessment,
608
in intelligent education, 618
models, 23
© Springer Nature Switzerland AG 2020
F. Firouzi et al. (eds.), Intelligent Internet of Things,
https://doi.org/10.1007/978-3-030-30367-9
637