LEADER 11118nam 2200577 450 001 9910522931903321 005 20220820150801.0 010 $a3-030-77528-3 035 $a(MiAaPQ)EBC6812249 035 $a(Au-PeEL)EBL6812249 035 $a(CKB)19919414400041 035 $a(OCoLC)1286661166 035 $a(PPN)258842334 035 $a(EXLCZ)9919919414400041 100 $a20220820d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInternet of things and its applications /$fSachi Nandan Mohanty, Jyotir Moy Chatterjee, Suneeta Satpathy, editors 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (562 pages) 225 1 $aEAI/Springer innovations in communication and computing 311 08$aPrint version: Nandan Mohanty, Sachi Internet of Things and Its Applications Cham : Springer International Publishing AG,c2022 9783030775278 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Acknowledgment -- Contents -- About the Authors -- Part I: IoT -Foundations, Architectures & -- Smart Services -- Internet of Things: Basic Concepts and Decorum of Smart Services -- 1 Introduction -- 1.1 Level of IoT -- 1.2 Discussion of Major Components for IoT-Based Smart Farming -- 2 IoT's Role in Application -- 2.1 WSNs -- 2.2 Characteristics of the Wireless Sensor Network -- 2.3 Wireless Architecture -- 2.4 Network Topology Construction Phase with Efficient Processing -- 2.5 IoT Agricultural Network Architecture -- 3 Cloud and Fog Infrastructure for Data Security -- 4 COVID Handling Using IoT -- 5 Conclusion -- References -- IoT Framework, Architecture Services, Platforms, and Reference Models -- 1 Introduction -- 1.1 Definitions -- 1.2 IoT Technologies -- 1.2.1 Radio-Frequency Identification (RFID) -- 1.2.2 Internet Protocol (IP) -- 1.2.3 Electronic Product Code (EPC) -- 1.2.4 Barcode -- 1.2.5 Wireless Fidelity -- 1.2.6 Bluetooth -- 1.2.7 Zigbee -- 1.2.8 Near Field Communication (NFC) -- 1.2.9 Wireless Sensor Networks (WSN) -- 1.3 IoT Framework -- 1.4 IoT Architecture -- 1.4.1 Four Stages of IoT Architecture -- 1.4.2 Basic IoT Architecture -- 1.4.3 Three-Layered Architecture -- 1.4.4 Four-Layered Architecture -- 1.4.5 Five-Layered Architecture -- 1.4.6 European FP7 Research Project -- 1.4.7 ITU Architecture and IoT Forum Architecture -- 1.4.8 Qian Xiao Cong, Zhang Jidong Architecture -- 1.4.9 Cloud-Based Architectures -- 1.5 IoT Platform -- 1.5.1 Google Cloud Platform -- 1.5.2 IBM BlueMix -- 1.5.3 ThingWorx -- 1.5.4 Microsoft Azure Cloud -- 1.5.5 ThingSpeak -- 1.5.6 Digital Service Cloud -- 1.5.7 Zetta -- 1.5.8 Yaler -- 1.5.9 Amazon Web Services -- 1.5.10 Seven Levels of IoT Reference Model -- 1.6 Brief Introduction to IoT Analytics -- 1.7 Challenges of IoT -- 1.8 Conclusion -- References. 327 $aPart II: Smart Healthcare & -- IoT -- A Check on WHO Protocol Implementation for COVID-19 Using IoT -- 1 Introduction -- 2 Literature Survey -- 2.1 Literature Survey Conclusion -- 3 Dataset -- 4 Proposed System -- 4.1 Designed Convolutional Neural Network -- 4.2 Raspberry Pi's Setup -- 4.2.1 Pi Camera -- 4.2.2 MLX90614 Non-contact Temperature Sensor -- 5 Implementation -- 5.1 CNN Algorithm -- 6 Results -- 7 Conclusion -- References -- Design and Implementation of an Internet of Things (IoT) Architecture for the Acquisition of Relevant Variables in the Study of Failures in Medical Equipment: A Case Study -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 3.1 System Architecture and Variables Measured -- 3.1.1 Sensing Layer -- 3.1.2 Network Layer -- 3.1.3 The Service Layer -- 4 Results -- 4.1 System Architecture and Variables Measured -- 5 Discussion -- 6 Conclusions -- 7 Future Work -- References -- A Novel IoT-Based Solution for Respiratory Flow Diagnosis -- 1 Introduction -- 2 Related Works -- 3 Overview of Acquisition and Control Modules -- 3.1 Proposed System to Measure Exhaled Airflow Rate -- 4 Design of Experiment -- 5 Results and Discussion -- 6 Conclusion -- References -- Deep Learning Application in Classification of Brain Metastases: Sensor Usage in Medical Diagnosis for Next Gen Healthcare -- 1 Introduction -- 1.1 Brain Tumor -- 1.2 Big Data Analytics in Health Informatics -- 1.3 Machine Learning in Healthcare -- 1.4 Sensors for Internet of Things -- 1.5 Let Us Look at Some Stats to See the Progress of IOT in Healthcare -- 1.6 Challenges and Critical Issues of IOT in Healthcare -- 1.7 Machine Learning and Artificial Intelligence (AI) for Health Informatics -- 1.8 Health Sensor Data Management -- 1.9 Multimodal Data Fusion for Healthcare. 327 $a1.10 Heterogeneous Data Fusion and Context-Aware Systems: A Context-Aware Data Fusion Approach for Health-IoT -- 1.11 Role of Technology in Addressing the Problem of Integration of Healthcare System -- 2 Literature Survey -- 3 System Design and Methodology -- 3.1 System Design -- 3.2 CNN Architecture -- 3.3 Block Diagram -- 3.4 Algorithm(s) -- 4 Our Experimental Results, Interpretation, and Discussion -- 4.1 Experimental Setup -- 4.2 Implementation Details -- 4.3 Snapshots of Interfaces -- 5 Novelty in Our Work -- 6 Future Scope, Possible Applications, and Limitations -- 7 Recommendations and Consideration -- 8 Conclusions -- 9 Performance Evaluations -- 9.1 Comparison with Other Algorithms -- Annex -- Key Terms and Definitions -- B. Additional Readings -- References -- Implementation of Smart Control of Wheelchair for a Disabled Person -- 1 Introduction -- 2 Related Work -- 3 System Design -- 4 Results and Discussion -- 5 Conclusion -- References -- Application of the Internet of Things (IoT) in Biomedical Engineering: Present Scenario and Challenges -- 1 Introduction -- 2 Applications to Health Care -- 2.1 Health Monitoring System -- 2.2 Remote Steady ECG Checking -- 2.3 Telemedicine Innovation -- 2.4 RFID Applications to Assist the Elderly to Live Independently -- 2.5 Portable Medicine -- 2.6 Utilizations of RFID Wristbands -- 2.7 GPS Positioning Applications for Patients with Heart Disease -- 2.8 Prediction of Protein Structure -- 3 Specialized Problems Facing Medical IoT -- 3.1 Node Versatility and Dynamic Large-Scale System: The Board in Enormous Scale Systems -- 3.2 Information Completeness and Data Compression -- 3.3 Information Security -- 3.4 Duplicate Medicine Detection -- 4 Conclusion -- References. 327 $aRisk Stratification for Subjects Suffering from Lung Carcinoma: Healthcare 4.0 Approach with Medical Diagnosis Using Computational Intelligence -- 1 Introduction -- 1.1 Motivation to the Study -- 1.1.1 Problem Statements -- 1.1.2 Authors' Contributions -- 1.1.3 Research Manuscript Organization -- 1.2 Definitions -- 1.2.1 Computer-Aided Diagnosis System (CADe or CADx) -- 1.2.2 Sensors for the Internet of Things -- 1.2.3 Wireless and Wearable Sensors for Health Informatics -- 1.2.4 Remote Human's Health and Activity Monitoring -- 1.2.5 Decision-Making Systems for Sensor Data -- 1.2.6 Artificial Intelligence (AI) and Machine Learning for Health Informatics -- 1.2.7 Health Sensor Data Management -- 1.2.8 Multimodal Data Fusion for Healthcare -- 1.2.9 Heterogeneous Data Fusion and Context-Aware Systems: A Context-Aware Data Fusion Approach for Health-IoT -- 2 Literature Review -- 3 Proposed Systems -- 3.1 Framework or Architecture of the Work -- 3.2 Model Steps and Parameters -- 3.3 Discussions -- 4 Experimental Results and Analysis -- 4.1 Tissue Characterization and Risk Stratification -- 4.2 Samples of Cancer Data and Analysis -- 5 Novelties -- 6 Future Scopes, Limitations, and Possible Applications -- 7 Recommendations and Considerations -- 8 Conclusions -- Annex -- Key Terms and Definitions -- Additional Readings (Addendum) -- Data Set -- Snapshots of the Implementation -- References -- The Fusion of IOT and Wireless Body Area Network -- 1 Introduction -- 1.1 WBAN System Architecture -- 1.2 Applications of WBANs -- 1.2.1 Cardiovascular Application -- 1.2.2 Cancer Detection -- 1.2.3 Blood Glucose Monitoring -- 1.2.4 Stress Monitoring -- 1.2.5 Artificial Retina -- 1.2.6 General Health Monitoring -- 1.2.7 Non-medical Applications -- 2 Review of Existing Works -- 3 Fusion of IoT with WBAN -- 3.1 Starting Stage -- 3.2 Cluster Evolution. 327 $a3.3 Sensed Information Stage -- 3.4 Choice of Forwarder Stage -- 3.5 Consumed Energy as well as Routing Stage -- 3.6 Model of Network -- 3.6.1 Model of Energy -- 3.6.2 Model of Path Loss -- 3.6.3 Particle Swarm Optimization Algorithm -- Initialization -- Fitness Function's Evaluation -- Hunting -- Particles' Upgraded Velocity as well as Allocation -- Local Best as well as Global Best Upgrading -- 3.7 Optimized Approaches -- 3.7.1 System Model -- 3.7.2 Starting Stage -- Transmission of Data Stage -- 4 MC-MAC Strategy for Interference Reduction Inside WBANs -- 4.1 WBANs and Healthcare -- 4.2 Protocols of Multi-channel -- 5 Conclusion -- References -- Part III: Smart Education & -- IoT -- Paradigms of Smart Education with IoT Approach -- 1 Introduction -- 2 Meaning of "Smart" in Smart Education -- 2.1 Smart Campus -- 2.2 Smart Learner -- 2.3 Handheld Devices -- 2.4 Smart Tracking and Monitoring System -- 2.5 Smart Learning Environment -- 2.6 Smart Pedagogies -- 2.7 Increased Security -- 2.8 Smart Learning for Disable Students -- 3 IoT in Smart Education -- 4 Conclusion -- References -- Automated Electric Power Saving System in University Classrooms Using Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Algorithm Used for Implementing the Model -- 4 Results and Effectiveness of Proposed Methodology -- 5 Advantages, Disadvantages, and Applications of Using Proposed Methodology -- 6 Conclusion and Future Directions -- 6.1 Conclusion -- 6.2 Future Directions -- References -- Part IV: Smart Banking & -- IoT -- Smart Banking in Financial Transactions of Migrants: A Study on the In-Migrants of the Gajapati District of Odisha -- 1 Introduction -- 2 Review of Literature -- 3 Objectives -- 4 Methodology. 327 $a5 Availability and Accessibility of Smart Banking Facilities to Migrant Workers Staying 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