Smart Systems for Industrial Applications

6 Chapter 6Figure 6.1 Seven decades of artificial intelligence.Figure 6.2 Phenomenon of AI.Figure 6.3 Tesla’s autopilot [3].Figure 6.4 Boxever [4].Figure 6.5 The embedding method sensors in a finger and hand gestures process.Figure 6.6 AI robot [6].Figure 6.7 Vinci [7].Figure 6.8 Affectiva [9].Figure 6.9 AlphaGo beats [10].Figure 6.10 Cogito [11].Figure 6.11 Siri [12].Figure 6.12 Alexa [13].Figure 6.13 Pandora [14].Figure 6.14 Design practice in the context of traditional human-intense operatin...Figure 6.15 Design practice in the context of AI Factories.

7 Chapter 7Figure 7.1 Machine learning workflow.Figure 7.2 Healthcare IoT layers.

8 Chapter 8Figure 8.1 A sample smart home.Figure 8.2 Architecture of smart homes.Figure 8.3 Bionetwork of smart cities.Figure 8.4 Architecture of smart cities.Figure 8.5 Components of smart cities.Figure 8.6 Smart infrastructure.Figure 8.7 Intelligent transportation system [11].Figure 8.8 Smart energy system [12].Figure 8.9 Illustration of smart healthcare [13].Figure 8.10 Architecture of telemedicine.Figure 8.11 Characteristics of smart cities.Figure 8.12 Challenges of smart cities.

9 Chapter 9Figure 9.1 Image of AI-assisted radiology and pathology.Figure 9.2 Biomedical image of human body.Figure 9.3 Surgical robots.Figure 9.4 Feature extraction using SVM model. (https://www.kindpng.com/imgv/how...Figure 9.5 Structure of neural network.Figure 9.6 Structure of Decision Tree.Figure 9.7 Structure of CNN.Figure 9.8 Architecture of diagram of proposed LR + RF model.Figure 9.9 Proposed system model overview.Figure 9.10 Performance analysis of classifiers based on the classifiers.

10 Chapter 10Figure 10.1 Factors influencing EV range prediction.Figure 10.2 Factors influencing EVs battery management system.Figure 10.3 Equivalent circuit of battery.Figure 10.4 Block diagram of the system.Figure 10.5 Flowchart for SoC prediction.Figure 10.6 Flowchart to estimate SoH.Figure 10.7 Measured voltage.Figure 10.8 Normalized profile for an automotive application.Figure 10.9 Reference SoC.Figure 10.10 SoC estimation for 5°C.Figure 10.11 SoC estimation for 25°C.Figure 10.12 Error bounds for 5°C.Figure 10.13 Error bounds for 25°C.Figure 10.14 Capacity estimation using AWTLS method.

11 Chapter 11Figure 11.1 Feature extraction in excel format.Figure 11.2 Convolutional neural network with its layers.Figure 11.3 Validation parameters. Figure 11.4 Test parameters.Figure 11.5 Validation parameters.Figure 11.6 Test parameters.

12 Chapter 12Figure 12.1 Petrol hydrometer.Figure 12.2 Water density at different temperatures.Figure 12.3 Effect of water pressure on air column inside a cylindrical pipe.Figure 12.4 Block diagram for petrol density measurement.Figure 12.5 Honeywell SSCSDRN010MD2A3 pressure sensor.Figure 12.6 Initial setup.Figure 12.7 Improved instrument.Figure 12.8 Final apparatus setup.Figure 12.9 MPX2010DP interfaced with INA114 in Eagle.Figure 12.10 Pull-up resistor PCB board for SSCSDRN010MD2A3 in Eagle.Figure 12.11 I2C bits readout.Figure 12.12 The sensor output value and ASTM value obtained are plotted.Figure 12.13 Sensor output observed on laptop.Figure 12.14 Sensor output observed on laptop.

13 Chapter 13Figure 13.1 Smart home environment.Figure 13.2 Generation of private and public keys with initiated Trapdoor and Me...Figure 13.3 Signature generation process based on Trapdoor Function and Merkle H...Figure 13.4 Process of authentication verification.Figure 13.5 Decrease in computational overhead of the proposed IMH-TF-SMA mechan...Figure 13.6 Decrease in communication overhead of the proposed IMH-TF-SMA mechan...Figure 13.7 Storage cost of the proposed IMH-TF-SMA mechanism for varying number...Figure 13.8 Degree of preservation of the proposed IMH-TF-SMA mechanism for vary...Figure 13.9 Time incurred in executing Trapdoor Function of the proposed IMH-TF ...

14 Chapter 14Figure 14.1 Block diagram of sensor [1].Figure 14.2 Classification of sensors [1].Figure 14.3 Temperature sensor [1].Figure 14.4 Flow chart of IoT [6].Figure 14.5 Phase chart [6].Figure 14.6 Internet protocol [6].Figure 14.7 A Piconet [35].Figure 14.8 Portable desktop peripherals [35].Figure 14.9 Headset [35].Figure 14.10 Bluetooth module [35].Figure 14.11 ZigBee technology [7].Figure 14.12 Zigbee architecture [7].Figure 14.13 ZigBee protocol architecture [7].Figure 14.14 Physical layer of ZigBee [7].Figure 14.15 Zigbee communication operation [7].Figure 14.16 Zigbee topologies [7].Figure 14.17 Wireless local area network [36].Figure 14.18 GSM network [20].Figure 14.19 (a) Sensor. (b) Smart sensor [37].Figure 14.20 Siemens SITRAN TF functions diagram [37].Figure 14.21 Internal parts of Smart Sensor [37].Figure 14.22 (a) Packaged CO 2sensor. (b) Packaged O 2sensor. (c) Overall exerci...Figure 14.23 Flood monitoring systems [8].Figure 14.24 Traffic monitoring system [9].

1 Chapter 1 Table 1.1 Role of communication technologies in healthcare. Table 1.2 Applications of AI in healthcare. Table 1.3 Impact of AI-mHealth communication system in healthcare. Table 1.4 Role of AI in wireless body area networks. Table 1.5 Role of AI-driven IoT in healthcare services. Table 1.6 Impact of AI-driven augmented and virtual reality in healthcare.

2 Chapter 2 Table 2.1 Analysis report.

3 Chapter 3Table 3.1 Nomenclature.Table 3.2 Proposed IWDH-HP-RDD scheme: warning message dissemination rate and ch...Table 3.3 Proposed IWDH-HP-RDD scheme: rate of neighborhood awareness and succes...

4 Chapter 4Table 4.1 Sallen-Key LPF degradation model parameters.Table 4.2 Performance result of proposed UPF and UKF.

5 Chapter 9Table 9.1 Results of classifiers for prediction of heart disease.

6 Chapter 11Table 11.1 Accuracy for different classifiers.Table 11.2 Performance metrics.

7 Chapter 12Table 12.1 Water density table approved by ITS-90.Table 12.2 Water density table.Table 12.3 Output at significant percentage for the sensor.Table 12.4 Testing results of petrol density measurement.

8 Chapter 13Table 13.1 Threats and their influences in the IoT environment.Table 13.2 IMH-TF-SMA: Computational times required for crypto-operations.Table 13.3 Security-based functionality features of the proposed and compared au...

9 Chapter 14Table 14.1 Sensor level indication via SMS.

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