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Human Communication Technology. Группа авторов
Читать онлайн.Название Human Communication Technology
Год выпуска 0
isbn 9781119752158
Автор произведения Группа авторов
Жанр Программы
Издательство John Wiley & Sons Limited
9 Chapter 10Figure 10.1 Block diagram of the hierarchical elitism genetic gravitational sear...Figure 10.2 Flow diagram of hierarchical elitism gene gravitational search.Figure 10.3 Echocardiogram video images from Cardiac Motion and Imaging Planes (...Figure 10.4 Graphical representation of computational time.Figure 10.5 Graphical representation of computational complexity.Figure 10.6 Graphical representation of pattern recognition accuracy.Algorithm 1 Additive kuan filter pre-processing.Algorithm 2 Hierarchical elitism genetic gravitational search.
10 Chapter 11Figure 11.1 Classification of ML algorithm.Figure 11.2 Neural network.Figure 11.3 IoT in routing and other network application domain.Figure 11.4 LarKC routing.Figure 11.5 IoT in living and everywhere.Figure 11.6 IoT in all types of industries.
11 Chapter 12Figure 12.1 Schematic of the hearing system showing forward and feedback path of...Figure 12.2 Presence of feedback in acoustic signals under frequency 1,800 Hz.Figure 12.3 Representation of the frequency response under feedback condition.Figure 12.4 Plot showing feedbacks with high-frequency cuts in an acoustic envir...Figure 12.5 When signals are (a) in-phase (b) out-of-phase and (c) with an arbit...Figure 12.6 Representation of the phase response under feedback condition.Figure 12.7 Frequency response of notch filter different orders at ωc = 0.5 Hz.Figure 12.8 Impulse response of an acoustic system.Figure 12.9 Identification of an unknown system.Figure 12.10 Adaptive filter placed after the identification of unknown system.Figure 12.11 (a) Audio signal without adaptive filtering and (b) signal with ada...Figure 12.12 Mean square error provided by the LMS system.Figure 12.13 Mean square error under constant step-size in F-LMS.Figure 12.14 Mean square error under variable step-size in V-LMS at µ = 0.0076 a...Figure 12.15 Convergence rate under variable step-size in V-LMS at µ = 0.0076 an...
12 Chapter 13Figure 13.1 IoT cloud architecture.Figure 13.2 Schematic of user-cloud platform.Figure 13.3 Schematic of cloud platform—IoT device.Figure 13.4 Temperature sensor.Figure 13.5 Water quality sensor.Figure 13.6 Humidity sensor.Figure 13.7 Light depended resistor.Figure 13.8 Arduino Uno R3 embedded system.Figure 13.9 Basic embedded system structure.Figure 13.10 DHT-11 temperature & humidity sensor [11].Figure 13.11 Arduino soil and moisture level sensor [11].Figure 13.12 Raspberry Pi 4 model B [10].Figure 13.13 Analog to digital converter (ADS1115) [11].Figure 13.14 Interfacing ADC (ADS1115) to raspberry Pi 4 model B.Figure 13.15 Interfacing moisture sensor to the raspberry Pi 4 model B.Figure 13.16 Interfacing raspberry Pi 4 model B with DHT-11 temperature & humidi...Figure 13.17 Temperature & humidity management system circuit diagram.Figure 13.18 Light intensity management system circuit diagram.
13 Chapter 14Figure 14.1 Recycling process [64].Figure 14.2 Gender.Figure 14.3 Illustrates out of 141 student participants most were diploma holder...Figure 14.4 Effectiveness of Green Computing policy at the Institute of Health S...Figure 14.5 Green computing practices among users.Figure 14.6 Likelihood of green computing threats.Figure 14.7 The role of green computing training towards green computing awarene...Figure 14.8 Green computing awareness framework.
14 Chapter 15Figure 15.1 Architecture of a BSN.Figure 15.2 Main research areas in BSNs.Figure 15.3 Evolution of IoT.Figure 15.4 Structure flow of IoT.Figure 15.5 System overview of telemedicine system.Figure 15.6 Telemedicine—architecture.Figure 15.7 Application fields of BSNs.Figure 15.8 Example of patient monitoring using a wireless body area network (WB...Figure 15.9 Melee networking for monitoring the performance of a group of athlet...
15 Chapter 16Figure 16.1 Technology characteristics of the IoT.Figure 16.2 Middleware-based vs. Direct data collection approach through source ...Figure 16.3 Context-aware system.Figure 16.4 Software components relocation adaptation.Figure 16.5 Middleware work.Figure 16.6 Device registration.Figure 16.7 Sharing the data.Figure 16.8 Levels of sensor reading.Figure 16.9 Levels of the sensor reading.Figure 16.10 Levels of the sensor reading.
List of Tables
1 Chapter 1Table 2.1 Time-varying latency test concerning speed reference and network laten...Table 2.2 Time-varying latency test-2 concerning speed reference and network lat...Table 2.3 Time-varying latency test-3 concerning speed reference and network lat...
2 Chapter 5Table 5.1 Generated chromosomes.
3 Chapter 6Table 6.1 Overall proposed work performance.
4 Chapter 8Table 8.1 Open operating systems for IoT devices.Table 8.2 Open robotic middleware.Table 8.3 Open testbeds for IoRT.
5 Chapter 9Table 9.1 Power requirement specifications.Table 9.2 Memory specification in CRIO.Table 9.3 EPOCH vs LOSS.
6 Chapter 11Table 11.1 Machine learning algorithms in Internet of Things (IoT) smart transpo...Table 11.2 Different IoT application in industry.Table 11.3 Machine learning algorithms used.
7 Chapter 12Table 12.1 Comparison of adaptive algorithms.Table 12.2 Steady-state MSE for AC-VSS with other algorithms under different SNR...Table 12.3 Convergence rate of various variable step-size algorithms.Table 12.4 Measured Misalignment for variable step-size algorithms under differe...
8 Chapter 14Table 14.1 Gender statistics.Table 14.2 Gender.Table 14.3 Qualification statistics.Table 14.4 Age group.Table 14.5 Qualification statistics.
9 Chapter 15Table 15.1 Types of sensors used in BSN.
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