Artificial Intelligence-based Internet of Things Systems / / Souvik Pal, Debashis De, Rajkumar Buyya, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (512 pages) |
Disciplina | 006.22 |
Collana | Internet of Things, Technology, Communications and Computing |
Soggetto topico | Cooperating objects (Computer systems) |
ISBN | 3-030-87059-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910523799903321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial Intelligence-based Internet of Things Systems / / Souvik Pal, Debashis De, Rajkumar Buyya, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (512 pages) |
Disciplina | 006.22 |
Collana | Internet of Things, Technology, Communications and Computing |
Soggetto topico | Cooperating objects (Computer systems) |
ISBN | 3-030-87059-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464536303316 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Industrial internet of things (IIoT) : intelligent analytics for predictive maintenance / / edited by R. Anandan [and three others] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing, , 2022 |
Descrizione fisica | xx, 402 pages : illustrations; ; 24 cm |
Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems |
Soggetto topico | Internet of things - Industrial applications |
ISBN | 9781119768777 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field -- 1.1 Introduction -- 1.2 Relationship Between Artificial Intelligence and IoT -- 1.2.1 AI Concept -- 1.2.2 IoT Concept -- 1.3 IoT Ecosystem -- 1.3.1 Industry 4.0 Concept -- 1.3.2 Industrial Internet of Things -- 1.4 Discussion -- 1.5 Trends -- 1.6 Conclusions -- References -- 2 Analysis on Security in IoT Devices- An Overview -- 2.1 Introduction -- 2.2 Security Properties -- 2.3 Security Challenges of IoT -- 2.3.1 Classification of Security Levels -- 2.3.1.1 At Information Level -- 2.3.1.2 At Access Level -- 2.3.1.3 At Functional Level -- 2.3.2 Classification of IoT Layered Architecture -- 2.3.2.1 Edge Layer -- 2.3.2.2 Access Layer -- 2.3.2.3 Application Layer -- 2.4 IoT Security Threats -- 2.4.1 Physical Device Threats -- 2.4.1.1 Device-Threats -- 2.4.1.2 Resource Led Constraints -- 2.4.2 Network-Oriented Communication Assaults -- 2.4.2.1 Structure -- 2.4.2.2 Protocol -- 2.4.3 Data-Based Threats -- 2.4.3.1 Confidentiality -- 2.4.3.2 Availability -- 2.4.3.3 Integrity -- 2.5 Assaults in IoT Devices -- 2.5.1 Devices of IoT -- 2.5.2 Gateways and Networking Devices -- 2.5.3 Cloud Servers and Control Devices -- 2.6 Security Analysis of IoT Platforms -- 2.6.1 ARTIK -- 2.6.2 GiGA IoT Makers -- 2.6.3 AWS IoT -- 2.6.4 Azure IoT -- 2.6.5 Google Cloud IoT (GC IoT) -- 2.7 Future Research Approaches -- 2.7.1 Blockchain Technology -- 2.7.2 5G Technology -- 2.7.3 Fog Computing (FC) and Edge Computing (EC) -- References -- 3 Smart Automation, Smart Energy, and Grid Management Challenges -- 3.1 Introduction -- 3.2 Internet of Things and Smart Grids -- 3.2.1 Smart Grid in IoT -- 3.2.2 IoT Application -- 3.2.3 Trials and Imminent Investigation Guidelines.
3.3 Conceptual Model of Smart Grid -- 3.4 Building Computerization -- 3.4.1 Smart Lighting -- 3.4.2 Smart Parking -- 3.4.3 Smart Buildings -- 3.4.4 Smart Grid -- 3.4.5 Integration IoT in SG -- 3.5 Challenges and Solutions -- 3.6 Conclusions -- References -- 4 Industrial Automation (IIoT) 4.0: An Insight Into Safety Management -- 4.1 Introduction -- 4.1.1 Fundamental Terms in IIoT -- 4.1.1.1 Cloud Computing -- 4.1.1.2 Big Data Analytics -- 4.1.1.3 Fog/Edge Computing -- 4.1.1.4 Internet of Things -- 4.1.1.5 Cyber-Physical-System -- 4.1.1.6 Artificial Intelligence -- 4.1.1.7 Machine Learning -- 4.1.1.8 Machine-to-Machine Communication -- 4.1.2 Intelligent Analytics -- 4.1.3 Predictive Maintenance -- 4.1.4 Disaster Predication and Safety Management -- 4.1.4.1 Natural Disasters -- 4.1.4.2 Disaster Lifecycle -- 4.1.4.3 Disaster Predication -- 4.1.4.4 Safety Management -- 4.1.5 Optimization -- 4.2 Existing Technology and Its Review -- 4.2.1 Survey on Predictive Analysis in Natural Disasters -- 4.2.2 Survey on Safety Management and Recovery -- 4.2.3 Survey on Optimizing Solutions in Natural Disasters -- 4.3 Research Limitation -- 4.3.1 Forward-Looking Strategic Vision (FVS) -- 4.3.2 Availability of Data -- 4.3.3 Load Balancing -- 4.3.4 Energy Saving and Optimization -- 4.3.5 Cost Benefit Analysis -- 4.3.6 Misguidance of Analysis -- 4.4 Finding -- 4.4.1 Data Driven Reasoning -- 4.4.2 Cognitive Ability -- 4.4.3 Edge Intelligence -- 4.4.4 Effect of ML Algorithms and Optimization -- 4.4.5 Security -- 4.5 Conclusion and Future Research -- 4.5.1 Conclusion -- 4.5.2 Future Research -- References -- 5 An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques -- 5.1 Introduction -- 5.2 Fuzzy Logic -- 5.2.1 Fuzzy Sets -- 5.2.2 Fuzzy Logic Basics -- 5.2.3 Fuzzy Logic and Power System -- 5.2.4 Fuzzy Logic-Automatic Generation Control. 5.2.5 Fuzzy Microgrid Wind -- 5.3 Genetic Algorithm -- 5.3.1 Important Aspects of Genetic Algorithm -- 5.3.2 Standard Genetic Algorithm -- 5.3.3 Genetic Algorithm and Its Application -- 5.3.4 Power System and Genetic Algorithm -- 5.3.5 Economic Dispatch Using Genetic Algorithm -- 5.4 Artificial Neural Network -- 5.4.1 The Biological Neuron -- 5.4.2 A Formal Definition of Neural Network -- 5.4.3 Neural Network Models -- 5.4.4 Rosenblatt's Perceptron -- 5.4.5 Feedforward and Recurrent Networks -- 5.4.6 Back Propagation Algorithm -- 5.4.7 Forward Propagation -- 5.4.8 Algorithm -- 5.4.9 Recurrent Network -- 5.4.10 Examples of Neural Networks -- 5.4.10.1 AND Operation -- 5.4.10.2 OR Operation -- 5.4.10.3 XOR Operation -- 5.4.11 Key Components of an Artificial Neuron Network -- 5.4.12 Neural Network Training -- 5.4.13 Training Types -- 5.4.13.1 Supervised Training -- 5.4.13.2 Unsupervised Training -- 5.4.14 Learning Rates -- 5.4.15 Learning Laws -- 5.4.16 Restructured Power System -- 5.4.17 Advantages of Precise Forecasting of the Price -- 5.5 Conclusion -- References -- 6 Recent Advances in Wearable Antennas: A Survey -- 6.1 Introduction -- 6.2 Types of Antennas -- 6.2.1 Description of Wearable Antennas -- 6.2.1.1 Microstrip Patch Antenna -- 6.2.1.2 Substrate Integrated Waveguide Antenna -- 6.2.1.3 Planar Inverted-F Antenna -- 6.2.1.4 Monopole Antenna -- 6.2.1.5 Metasurface Loaded Antenna -- 6.3 Design of Wearable Antennas -- 6.3.1 Effect of Substrate and Ground Geometries on Antenna Design -- 6.3.1.1 Conducting Coating on Substrate -- 6.3.1.2 Ground Plane With Spiral Metamaterial Meandered Structure -- 6.3.1.3 Partial Ground Plane -- 6.3.2 Logo Antennas -- 6.3.3 Embroidered Antenna -- 6.3.4 Wearable Antenna Based on Electromagnetic Band Gap -- 6.3.5 Wearable Reconfigurable Antenna -- 6.4 Textile Antennas -- 6.5 Comparison of Wearable Antenna Designs. 6.6 Fractal Antennas -- 6.6.1 Minkowski Fractal Geometries Using Wearable Electro-Textile Antennas -- 6.6.2 Antenna Design With Defected Semi-Elliptical Ground Plane -- 6.6.3 Double-Fractal Layer Wearable Antenna -- 6.6.4 Development of Embroidered Sierpinski Carpet Antenna -- 6.7 Future Challenges of Wearable Antenna Designs -- 6.8 Conclusion -- References -- 7 An Overview of IoT and Its Application With Machine Learning in Data Center -- 7.1 Introduction -- 7.1.1 6LoWPAN -- 7.1.2 Data Protocols -- 7.1.2.1 CoAP -- 7.1.2.2 MQTT -- 7.1.2.3 Rest APIs -- 7.1.3 IoT Components -- 7.1.3.1 Hardware -- 7.1.3.2 Middleware -- 7.1.3.3 Visualization -- 7.2 Data Center and Internet of Things -- 7.2.1 Modern Data Centers -- 7.2.2 Data Storage -- 7.2.3 Computing Process -- 7.2.3.1 Fog Computing -- 7.2.3.2 Edge Computing -- 7.2.3.3 Cloud Computing -- 7.2.3.4 Distributed Computing -- 7.2.3.5 Comparison of Cloud Computing and Fog Computing -- 7.3 Machine Learning Models and IoT -- 7.3.1 Classifications of Machine Learning Supported in IoT -- 7.3.1.1 Supervised Learning -- 7.3.1.2 Unsupervised Learning -- 7.3.1.3 Reinforcement Learning -- 7.3.1.4 Ensemble Learning -- 7.3.1.5 Neural Network -- 7.4 Challenges in Data Center and IoT -- 7.4.1 Major Challenges -- 7.5 Conclusion -- References -- 8 Impact of IoT to Meet Challenges in Drone Delivery System -- 8.1 Introduction -- 8.1.1 IoT Components -- 8.1.2 Main Division to Apply IoT in Aviation -- 8.1.3 Required Field of IoT in Aviation -- 8.2 Literature Survey -- 8.3 Smart Airport Architecture -- 8.4 Barriers to IoT Implementation -- 8.4.1 How is the Internet of Things Converting the Aviation Enterprise? -- 8.5 Current Technologies in Aviation Industry -- 8.5.1 Methodology or Research Design -- 8.6 IoT Adoption Challenges -- 8.6.1 Deployment of IoT Applications on Broad Scale Includes the Underlying Challenges. 8.7 Transforming Airline Industry With Internet of Things -- 8.7.1 How the IoT Is Improving the Aviation Industry -- 8.7.2 Applications of AI in the Aviation Industry -- 8.8 Revolution of Change (Paradigm Shift) -- 8.9 The Following Diagram Shows the Design of the Application -- 8.10 Discussion, Limitations, Future Research, and Conclusion -- 8.10.1 Growth of Aviation IoT Industry -- 8.10.2 IoT Applications-Benefits -- 8.10.3 Operational Efficiency -- 8.10.4 Strategic Differentiation -- 8.10.5 New Revenue -- 8.11 Present and Future Scopes -- 8.11.1 Improving Passenger Experience -- 8.11.2 Safety -- 8.11.3 Management of Goods and Luggage -- 8.11.4 Saving -- 8.12 Conclusion -- References -- 9 IoT-Based Water Management System for a Healthy Life -- 9.1 Introduction -- 9.1.1 Human Activities as a Source of Pollutants -- 9.2 Water Management Using IoT -- 9.2.1 Water Quality Management Based on IoT Framework -- 9.3 IoT Characteristics and Measurement Parameters -- 9.4 Platforms and Configurations -- 9.5 Water Quality Measuring Sensors and Data Analysis -- 9.6 Wastewater and Storm Water Monitoring Using IoT -- 9.6.1 System Initialization -- 9.6.2 Capture and Storage of Information -- 9.6.3 Information Modeling -- 9.6.4 Visualization and Management of the Information -- 9.7 Sensing and Sampling of Water Treatment Using IoT -- References -- 10 Fuel Cost Optimization Using IoT in Air Travel -- 10.1 Introduction -- 10.1.1 Introduction to IoT -- 10.1.2 Processing IoT Data -- 10.1.3 Advantages of IoT -- 10.1.4 Disadvantages of IoT -- 10.1.5 IoT Standards -- 10.1.6 Lite Operating System (Lite OS) -- 10.1.7 Low Range Wide Area Network (LoRaWAN) -- 10.2 Emerging Frameworks in IoT -- 10.2.1 Amazon Web Service (AWS) -- 10.2.2 Azure -- 10.2.3 Brillo/Weave Statement -- 10.2.4 Calvin -- 10.3 Applications of IoT -- 10.3.1 Healthcare in IoT. 10.3.2 Smart Construction and Smart Vehicles. |
Record Nr. | UNINA-9910677138203321 |
Hoboken, New Jersey : , : Scrivener Publishing, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing Paradigm and Cutting-edge Technologies : Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019 / / edited by Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (495 pages) |
Disciplina | 006.3 |
Collana | Learning and Analytics in Intelligent Systems |
Soggetto topico |
Computational intelligence
Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational Intelligence Data Engineering Cyber-physical systems, IoT |
ISBN | 3-030-38501-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Brexit Twitter Sentiment Analysis: Changing Opinions about Brexit and UK Politicians -- Chapter 2: A Clustering Algorithm for Multi-density Datasets -- Chapter 3: Generate a New Types of Fuzzy Ψi-operator -- Chapter 4: Programs Features Clustering to find Optimization Sequence using Genetic algorithm -- Chapter 5: Complex Event Processing Based Analysis of Cassini–Huygens Interplanetary Dataset -- Chapter 6: Integrating OpenMTC framework into oneM2M Architecture for a Secure IoT Environment. |
Record Nr. | UNINA-9910483822803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Internet of things and analytics for agriculture . Volume 3 / / Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal |
Autore | Pattnaik Prasant Kumar |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (385 pages) |
Disciplina | 338.10285 |
Collana | Studies in Big Data |
Soggetto topico |
Artificial intelligence - Agricultural applications
Internet of things |
ISBN |
981-16-6210-X
981-16-6209-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743249303321 |
Pattnaik Prasant Kumar | ||
Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Internet of Things and Analytics for Agriculture, Volume 2 / / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xii, 288 pages) |
Disciplina | 338.10285 |
Collana | Studies in Big Data |
Soggetto topico |
Robotics
Automation Big data Engineering—Data processing Robotics and Automation Big Data Data Engineering Big Data/Analytics |
ISBN | 981-15-0663-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preamble -- Preface -- Acknowledgments -- About the Authors -- IoT-Agro Paradigm -- IoT: Foundations and Applications -- Smart Monitoring for Irrigation and Water Level Retention Functional Framework for IoT-based Agricultural System -- Intelligent Agro-Food Chain System -- Case Studies and Applications in IoT based Agriculture System -- Glossary -- Index. |
Record Nr. | UNINA-9910739463103321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Internet of Things and Analytics for Agriculture, Volume 3 |
Autore | Pattnaik Prasant Kumar |
Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
Descrizione fisica | 1 online resource (385 pages) |
Altri autori (Persone) |
KumarRaghvendra
PalSouvik |
Collana | Studies in Big Data Ser. |
Soggetto genere / forma | Electronic books. |
ISBN |
9789811662102
9789811662096 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910508462603321 |
Pattnaik Prasant Kumar | ||
Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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IoT and analytics for agriculture / / editors, Prasant Kumar Pattnaik [et al.] |
Edizione | [1st edition 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XVII, 240 p. 84 illus., 60 illus. in color.) |
Disciplina | 629.892 |
Collana | Studies in Big Data |
Soggetto topico |
Agricultural innovations
Internet of things |
ISBN | 981-13-9177-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Expert system for soil management:pHcontrol, Moisture content -- Integrating Big Data Practices in Agriculture -- Solar Powered Automated IoT based Drip irrigation system -- Internet of Things Foundations and its Application -- e-Device for the Protection of Agricultural Land from Elephant Attacks in Odisha: A Review -- Impact Of Irrigation On Agricultural Productivity In Bolpur Sub Division, West Bengal -- Big Data, Climate Smart Agriculture and India-Africa Relations: A Social Science Perspective -- IoT Enabled Agricultural System Applications, Challenges and Security Issues -- A Design of IoT Based Agricultural System for Optimal Management. |
Record Nr. | UNINA-9910484282903321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
IoT and Analytics for Sensor Networks : Proceedings of ICWSNUCA 2021 |
Autore | Nayak Padmalaya |
Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
Descrizione fisica | 1 online resource (502 pages) |
Altri autori (Persone) |
PalSouvik
PengSheng-Lung |
Collana | Lecture Notes in Networks and Systems Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 981-16-2919-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Organizing Committee and Key Members -- Invited Speaker -- Preface and Acknowledgement -- About This Book -- Contents -- About the Editors -- An Interactive Smart Mirror Using Internet of Things and Machine Learning -- 1 Introduction -- 2 Motivation and Related Work -- 3 Architecture, Working and Feature -- 3.1 Hand Gesture-Controlled Music Player -- 3.2 Other Content Features -- 4 Result -- 5 Conclusion and Future Enhancements -- References -- Cluster Formation Algorithm in WSNs to Optimize the Energy Consumption Using Self-Organizing Map -- 1 Introduction -- 2 Existing Literature -- 3 Proposed Heuristic -- 4 Results and Discussion -- 5 Conclusion -- References -- CNN-Based Mobile Device Detection Using Still Images -- 1 Introduction -- 2 Techniques for Source Camera Identification -- 2.1 Image Headers -- 2.2 Images Features -- 2.3 Demosaicing Features -- 2.4 PRNU Feature-Based Approach -- 2.5 Mobile Sensor Fingerprint -- 2.6 Convolutional Neural Networks and Image Noise Pattern -- 3 Dataset Used -- 4 Proposed CNN Model and Its Architecture -- 5 Results and Discussions -- 6 Conclusion -- References -- E-FFTF: An Extended Framework for Flexible Fault Tolerance in Cloud -- 1 Introduction -- 2 Proposed E-FFTF -- 2.1 System Model -- 2.2 Task Execution Model -- 3 Experimental Evaluation -- 3.1 Simulation Settings -- 3.2 Results and Discussion -- 4 Conclusions and Future Research Scope -- References -- Human Abnormal Activity Pattern Analysis in Diverse Background Surveillance Videos Using SVM and ResNet50 Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 SVM Classifier Model -- 3.2 ResNet50 Model -- 4 Experimental Analysis -- 5 Result and Discussion -- 6 Conclusion -- References -- RT-GATE: Concept of Micro Level Polarization in QCA -- 1 Introduction -- 2 QCA Basic Elements.
2.1 Universal Gates Based on Partial Polarization Technique -- 3 Proposed RT-Gate -- 4 Multiplexer -- 4.1 Proposed Multiplexer -- 5 Conclusion -- References -- Comparative Performance Analysis of Tanh-Apodized Fiber Bragg Grating and Gaussian-Apodized Fiber Bragg Grating as Hybrid Dispersion Compensation Model -- 1 Introduction -- 2 Theory -- 2.1 Dispersion Compensation Fiber -- 2.2 Fiber Bragg Grating -- 3 Experimental Results -- 4 Conclusion -- References -- Performance Comparison of Adaptive Mobility Management Scheme with IEEE 802.11s to Handle Internet Traffic -- 1 Introduction -- 2 Hybrid Wireless Mesh Protocol -- 3 Adaptive Mobility Management Technique -- 4 Numerical Analysis -- 4.1 Handoff Cost -- 4.2 Packet Delivery Cost -- 5 Comparison and Simulation -- 5.1 Impact of Network Load -- 5.2 Impact of External STA Speed -- 6 Comparison of Numerical Results and Simulation -- 7 Conclusion and Future Work -- References -- Automatic Attendance Management System Using Face Detection and Face Recognition -- 1 Introduction -- 2 Related Works -- 2.1 Attendance System Using Image Processing Techniques -- 2.2 Attendance System Using Face Detection and Face Recognition -- 2.3 Attendance System Using Deep Learning Framework -- 2.4 Deep Learning Paradigm for Attendance Systems -- 2.5 Attendance System Using FaceNet and SVM -- 3 Motivation -- 4 Proposed System -- 4.1 Input -- 4.2 Image Pre-Processing -- 4.3 Image Processing -- 4.4 Face Classification -- 4.5 Testing -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- ESIT: An Enhanced Lightweight Algorithm for Secure Internet of Things -- 1 Introduction -- 2 Related Works -- 3 Proposed Framework -- 3.1 Key Generation -- 3.2 Encryption -- 3.3 Decryption -- 4 Observations -- 4.1 Evaluation Parameters -- 5 Conclusion -- References. A Novel Block Diagonalization Algorithm to Suppress Inter-user Interference in a Multi-user Mimo System -- 1 Introduction -- 2 Proposed Methodology -- 2.1 System Model -- 2.2 Broadcast Channel Transmission via Block Diagonalization -- 3 Simulation and Results -- 4 Conclusion -- References -- Prediction of Chemical Contamination for Water Quality Assurance Using ML-Based Techniques -- 1 Introduction -- 2 Related Works -- 3 Study Site -- 4 Materials and Methods -- 4.1 Machine Learning Algorithms -- 5 Results and Discussion -- 5.1 Performance Evaluation -- 6 Conclusion -- References -- Design and Performance Analysis of Two-Port Circularly Polarized MIMO Antenna for UWB Applications -- 1 Introduction -- 2 Antenna Design and Configuration -- 2.1 Evolution Process of the Proposed Antenna -- 2.2 Parametric Study -- 2.3 Surface Current -- 3 Results and Discussion -- 4 Conclusion -- References -- Intelligent Traffic Control System for Emergency Vehicles -- 1 Introduction -- 2 Related Work -- 3 The Proposed Protocol -- 3.1 Problem Statement -- 3.2 Intelligent Traffic Control Model -- 4 Experimental Analysis -- 4.1 Simulation Study -- 4.2 Evaluation Methodology and Parameters -- 4.3 Experimental Results -- 5 Conclusion and Acknowledgement -- References -- Digital Controller-Based Automated Drainage Water Monitoring and Controlling -- 1 Introduction -- 2 Block Diagram -- 3 Implementation of the Project Using PLC -- 4 Results and Discussions -- 4.1 Detailed Description of Stages -- 4.2 PH Level Indications -- 5 Conclusions -- References -- Cooperative Agent-Based Location Validation for Vehicular Clouds -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Security Analysis -- 5 Conclusion -- References -- An Analytical Approach for Traffic Grooming Problems Using Waiting Probability in WDM Networks -- 1 Introduction -- 2 Related Work. 3 Proposed Technique -- 4 Results and Discussions -- 5 Conclusion -- References -- Flow-Based Detection and Mitigation of Low-Rate DDOS Attack in SDN Environment Using Machine Learning Techniques -- 1 Introduction -- 2 Background and Related Work -- 2.1 Software Defined Networking -- 2.2 Low-Rate DDoS Attack -- 2.3 Related Work -- 3 Architectural Design -- 3.1 Detection Phase -- 3.2 Mitigation Phase -- 3.3 Algorithm -- 4 Experimental Setup -- 4.1 Environment Setup -- 4.2 Dataset -- 4.3 Evaluation Metrics -- 5 Conclusion -- References -- Design and Simulation of MEMS Based Capacitive Accelerometer -- 1 Introduction -- 2 Structure Design and Working Phenomenon -- 3 Mathematical Analysis -- 3.1 To Find the Natural Frequency of the Accelerometers -- 3.2 To Find the Damping Ratio of the Accelerometers -- 3.3 To Find the Static Capacitance of the Accelerometers -- 3.4 To Find the Displacements Sensitivity of the Accelerometers -- 4 Simulation and Results -- 4.1 Model X -- 4.2 Model Y -- 4.3 Simulations to Check Variation of Mass and Dimensions of the Proof Mass Over Resonant Frequency -- 4.4 MATALAB Simulations -- 5 Results and Discussions -- 6 Conclusion and Future Scope -- References -- Transport Tracking Using RFID and GSM Based Technique -- 1 Introduction -- 2 Literature Review -- 3 Design and Implementation -- 3.1 Pic 16f877a -- 3.2 RFID Tag -- 3.3 RFID Reader -- 3.4 Temperature Sensor -- 3.5 Accelerated Tilt Sensor -- 3.6 Gas Sensor -- 3.7 GPS Module -- 3.8 GSM Module -- 4 Hardware Implementation -- 5 Results and Discussions -- 6 Conclusion -- References -- An Ultra-Wide Band Patch Antenna for Commercial Communication Applications -- 1 Introduction -- 2 Design of Lotus-Shaped UWB Antenna -- 3 Results and Discussions -- 4 Conclusion -- References -- 8-Bit Carry Look Ahead Adder Using MGDI Technique -- 1 Introduction -- 2 Literature Review. 2.1 Working of CLA -- 3 Methodology -- 3.1 Mod-GDI Technology -- 3.2 Design of 8-bit CLA -- 3.3 Design of AND Gate in MGDI Technique -- 3.4 Design of OR Gate in MGDI Technique -- 3.5 Design of XOR Gate in MGDI Technique -- 3.6 Design of 8-bit CLA in MGDI Technique -- 4 Results and Discussions -- 5 Conclusion -- References -- Improved Scientific Workflow Scheduling Algorithm with Distributed Heft Ranking and TBW Scheduling Method -- 1 Introduction -- 2 Literature Review -- 3 Proposed Ideology -- 3.1 Proposed Representation -- 3.2 Proposed Flowchart and Phases of Proposed Methodology -- 4 Conclusion -- References -- Selection of OLAP Materialized Cube by Using a Fruit Fly Optimization (FFO) Approach: A Multidimensional Data Model -- 1 Introduction -- 2 The Fruit Fly Optimization (FFO) Approach for Selection of OLAP Materialized Cube (A Multidimensional Data Model) -- 2.1 FFO Approach -- 2.2 Lattice Structure -- 2.3 Cube Selection Using FFO Approach -- 3 Result and Analysis -- 4 Conclusion -- References -- Fault Tolerant Multimedia Caching Strategy for Information-Centric Networking -- 1 Introduction -- 2 Related Work -- 3 Problem Statement and Objectives -- 4 System Model -- 5 Implementation -- 5.1 Calculation of Chunk Size -- 5.2 Download File -- 6 Performance Evaluation -- 6.1 Download Time -- 6.2 Throughput -- 7 Conclusion -- References -- Sizing of Wireless Networks with Sensors for Smart Houses with Coverage, Capacity, and Interference Restrictions -- 1 Introduction -- 2 Network Dimensioning Wireless -- 3 Problem Formulation -- 4 Analysis of Results -- 5 Conclusions -- References -- Cloud-Based Parkinson Disease Prediction System Using Expanded Cat Swarm Optimization -- 1 Introduction -- 2 Related Works -- 3 Cloud-Based Parkinson Disease Prediction System -- 3.1 ECSO-Based Feature Selection -- 3.2 Decision Prediction Classifier Model. 4 Experimental Evaluation. |
Altri titoli varianti | IoT and Analytics for Sensor Networks |
Record Nr. | UNINA-9910502663303321 |
Nayak Padmalaya | ||
Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
IoT and analytics for sensor networks : proceedings of ICWSNUCA 2021 / / Padmalaya Nayak, Souvik Pal, Sheng-Lung Peng, editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (502 pages) |
Disciplina | 681 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Wireless sensor networks
Ubiquitous computing |
ISBN |
981-16-2919-6
981-16-2918-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Organizing Committee and Key Members -- Invited Speaker -- Preface and Acknowledgement -- About This Book -- Contents -- About the Editors -- An Interactive Smart Mirror Using Internet of Things and Machine Learning -- 1 Introduction -- 2 Motivation and Related Work -- 3 Architecture, Working and Feature -- 3.1 Hand Gesture-Controlled Music Player -- 3.2 Other Content Features -- 4 Result -- 5 Conclusion and Future Enhancements -- References -- Cluster Formation Algorithm in WSNs to Optimize the Energy Consumption Using Self-Organizing Map -- 1 Introduction -- 2 Existing Literature -- 3 Proposed Heuristic -- 4 Results and Discussion -- 5 Conclusion -- References -- CNN-Based Mobile Device Detection Using Still Images -- 1 Introduction -- 2 Techniques for Source Camera Identification -- 2.1 Image Headers -- 2.2 Images Features -- 2.3 Demosaicing Features -- 2.4 PRNU Feature-Based Approach -- 2.5 Mobile Sensor Fingerprint -- 2.6 Convolutional Neural Networks and Image Noise Pattern -- 3 Dataset Used -- 4 Proposed CNN Model and Its Architecture -- 5 Results and Discussions -- 6 Conclusion -- References -- E-FFTF: An Extended Framework for Flexible Fault Tolerance in Cloud -- 1 Introduction -- 2 Proposed E-FFTF -- 2.1 System Model -- 2.2 Task Execution Model -- 3 Experimental Evaluation -- 3.1 Simulation Settings -- 3.2 Results and Discussion -- 4 Conclusions and Future Research Scope -- References -- Human Abnormal Activity Pattern Analysis in Diverse Background Surveillance Videos Using SVM and ResNet50 Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 SVM Classifier Model -- 3.2 ResNet50 Model -- 4 Experimental Analysis -- 5 Result and Discussion -- 6 Conclusion -- References -- RT-GATE: Concept of Micro Level Polarization in QCA -- 1 Introduction -- 2 QCA Basic Elements.
2.1 Universal Gates Based on Partial Polarization Technique -- 3 Proposed RT-Gate -- 4 Multiplexer -- 4.1 Proposed Multiplexer -- 5 Conclusion -- References -- Comparative Performance Analysis of Tanh-Apodized Fiber Bragg Grating and Gaussian-Apodized Fiber Bragg Grating as Hybrid Dispersion Compensation Model -- 1 Introduction -- 2 Theory -- 2.1 Dispersion Compensation Fiber -- 2.2 Fiber Bragg Grating -- 3 Experimental Results -- 4 Conclusion -- References -- Performance Comparison of Adaptive Mobility Management Scheme with IEEE 802.11s to Handle Internet Traffic -- 1 Introduction -- 2 Hybrid Wireless Mesh Protocol -- 3 Adaptive Mobility Management Technique -- 4 Numerical Analysis -- 4.1 Handoff Cost -- 4.2 Packet Delivery Cost -- 5 Comparison and Simulation -- 5.1 Impact of Network Load -- 5.2 Impact of External STA Speed -- 6 Comparison of Numerical Results and Simulation -- 7 Conclusion and Future Work -- References -- Automatic Attendance Management System Using Face Detection and Face Recognition -- 1 Introduction -- 2 Related Works -- 2.1 Attendance System Using Image Processing Techniques -- 2.2 Attendance System Using Face Detection and Face Recognition -- 2.3 Attendance System Using Deep Learning Framework -- 2.4 Deep Learning Paradigm for Attendance Systems -- 2.5 Attendance System Using FaceNet and SVM -- 3 Motivation -- 4 Proposed System -- 4.1 Input -- 4.2 Image Pre-Processing -- 4.3 Image Processing -- 4.4 Face Classification -- 4.5 Testing -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- ESIT: An Enhanced Lightweight Algorithm for Secure Internet of Things -- 1 Introduction -- 2 Related Works -- 3 Proposed Framework -- 3.1 Key Generation -- 3.2 Encryption -- 3.3 Decryption -- 4 Observations -- 4.1 Evaluation Parameters -- 5 Conclusion -- References. A Novel Block Diagonalization Algorithm to Suppress Inter-user Interference in a Multi-user Mimo System -- 1 Introduction -- 2 Proposed Methodology -- 2.1 System Model -- 2.2 Broadcast Channel Transmission via Block Diagonalization -- 3 Simulation and Results -- 4 Conclusion -- References -- Prediction of Chemical Contamination for Water Quality Assurance Using ML-Based Techniques -- 1 Introduction -- 2 Related Works -- 3 Study Site -- 4 Materials and Methods -- 4.1 Machine Learning Algorithms -- 5 Results and Discussion -- 5.1 Performance Evaluation -- 6 Conclusion -- References -- Design and Performance Analysis of Two-Port Circularly Polarized MIMO Antenna for UWB Applications -- 1 Introduction -- 2 Antenna Design and Configuration -- 2.1 Evolution Process of the Proposed Antenna -- 2.2 Parametric Study -- 2.3 Surface Current -- 3 Results and Discussion -- 4 Conclusion -- References -- Intelligent Traffic Control System for Emergency Vehicles -- 1 Introduction -- 2 Related Work -- 3 The Proposed Protocol -- 3.1 Problem Statement -- 3.2 Intelligent Traffic Control Model -- 4 Experimental Analysis -- 4.1 Simulation Study -- 4.2 Evaluation Methodology and Parameters -- 4.3 Experimental Results -- 5 Conclusion and Acknowledgement -- References -- Digital Controller-Based Automated Drainage Water Monitoring and Controlling -- 1 Introduction -- 2 Block Diagram -- 3 Implementation of the Project Using PLC -- 4 Results and Discussions -- 4.1 Detailed Description of Stages -- 4.2 PH Level Indications -- 5 Conclusions -- References -- Cooperative Agent-Based Location Validation for Vehicular Clouds -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Security Analysis -- 5 Conclusion -- References -- An Analytical Approach for Traffic Grooming Problems Using Waiting Probability in WDM Networks -- 1 Introduction -- 2 Related Work. 3 Proposed Technique -- 4 Results and Discussions -- 5 Conclusion -- References -- Flow-Based Detection and Mitigation of Low-Rate DDOS Attack in SDN Environment Using Machine Learning Techniques -- 1 Introduction -- 2 Background and Related Work -- 2.1 Software Defined Networking -- 2.2 Low-Rate DDoS Attack -- 2.3 Related Work -- 3 Architectural Design -- 3.1 Detection Phase -- 3.2 Mitigation Phase -- 3.3 Algorithm -- 4 Experimental Setup -- 4.1 Environment Setup -- 4.2 Dataset -- 4.3 Evaluation Metrics -- 5 Conclusion -- References -- Design and Simulation of MEMS Based Capacitive Accelerometer -- 1 Introduction -- 2 Structure Design and Working Phenomenon -- 3 Mathematical Analysis -- 3.1 To Find the Natural Frequency of the Accelerometers -- 3.2 To Find the Damping Ratio of the Accelerometers -- 3.3 To Find the Static Capacitance of the Accelerometers -- 3.4 To Find the Displacements Sensitivity of the Accelerometers -- 4 Simulation and Results -- 4.1 Model X -- 4.2 Model Y -- 4.3 Simulations to Check Variation of Mass and Dimensions of the Proof Mass Over Resonant Frequency -- 4.4 MATALAB Simulations -- 5 Results and Discussions -- 6 Conclusion and Future Scope -- References -- Transport Tracking Using RFID and GSM Based Technique -- 1 Introduction -- 2 Literature Review -- 3 Design and Implementation -- 3.1 Pic 16f877a -- 3.2 RFID Tag -- 3.3 RFID Reader -- 3.4 Temperature Sensor -- 3.5 Accelerated Tilt Sensor -- 3.6 Gas Sensor -- 3.7 GPS Module -- 3.8 GSM Module -- 4 Hardware Implementation -- 5 Results and Discussions -- 6 Conclusion -- References -- An Ultra-Wide Band Patch Antenna for Commercial Communication Applications -- 1 Introduction -- 2 Design of Lotus-Shaped UWB Antenna -- 3 Results and Discussions -- 4 Conclusion -- References -- 8-Bit Carry Look Ahead Adder Using MGDI Technique -- 1 Introduction -- 2 Literature Review. 2.1 Working of CLA -- 3 Methodology -- 3.1 Mod-GDI Technology -- 3.2 Design of 8-bit CLA -- 3.3 Design of AND Gate in MGDI Technique -- 3.4 Design of OR Gate in MGDI Technique -- 3.5 Design of XOR Gate in MGDI Technique -- 3.6 Design of 8-bit CLA in MGDI Technique -- 4 Results and Discussions -- 5 Conclusion -- References -- Improved Scientific Workflow Scheduling Algorithm with Distributed Heft Ranking and TBW Scheduling Method -- 1 Introduction -- 2 Literature Review -- 3 Proposed Ideology -- 3.1 Proposed Representation -- 3.2 Proposed Flowchart and Phases of Proposed Methodology -- 4 Conclusion -- References -- Selection of OLAP Materialized Cube by Using a Fruit Fly Optimization (FFO) Approach: A Multidimensional Data Model -- 1 Introduction -- 2 The Fruit Fly Optimization (FFO) Approach for Selection of OLAP Materialized Cube (A Multidimensional Data Model) -- 2.1 FFO Approach -- 2.2 Lattice Structure -- 2.3 Cube Selection Using FFO Approach -- 3 Result and Analysis -- 4 Conclusion -- References -- Fault Tolerant Multimedia Caching Strategy for Information-Centric Networking -- 1 Introduction -- 2 Related Work -- 3 Problem Statement and Objectives -- 4 System Model -- 5 Implementation -- 5.1 Calculation of Chunk Size -- 5.2 Download File -- 6 Performance Evaluation -- 6.1 Download Time -- 6.2 Throughput -- 7 Conclusion -- References -- Sizing of Wireless Networks with Sensors for Smart Houses with Coverage, Capacity, and Interference Restrictions -- 1 Introduction -- 2 Network Dimensioning Wireless -- 3 Problem Formulation -- 4 Analysis of Results -- 5 Conclusions -- References -- Cloud-Based Parkinson Disease Prediction System Using Expanded Cat Swarm Optimization -- 1 Introduction -- 2 Related Works -- 3 Cloud-Based Parkinson Disease Prediction System -- 3.1 ECSO-Based Feature Selection -- 3.2 Decision Prediction Classifier Model. 4 Experimental Evaluation. |
Record Nr. | UNINA-9910743366803321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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