International Conference on Innovative Computing and Communications . Volume 3 : proceedings of ICICC 2022 / / Deepak Gupta [and four others]

• Record Nr.: UNINA9910624311103321
• Pubbl/distr/stampa: Singapore : , : Springer, , [2022]; ©2022
• ISBN: 981-19-3679-X
• Descrizione fisica: 1 online resource (772 pages)
• Collana: Lecture Notes in Networks and Systems
• Disciplina: 004.6
• Soggetti: Computer networks; Computer science
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- ICICC-2022 Steering Committee Members -- Preface -- Contents -- Editors and Contributors -- Assistive System for the Blind with Voice Output Based on Optical Character Recognition -- 1 Introduction -- 2 Lıterature Survey -- 3 System Model -- 3.1 System Design Specification -- 4 Experimental Results -- 5 Conclusion -- References -- Enterprising for a Sustainable Supply Chain of Livestock and Products of Sheep Husbandry in Jammu and Kashmir -- 1 Introduction -- 2 The Aim of the Paper and Objectives -- 3 Literature Review -- 4 Research Methodology -- 5 Data Analysis and Interpretation -- 6 Concluding Discussion-Social and Managerial Implications -- 7 Main Contribution of the Paper -- 8 Limitations of the Study -- 9 Future Implications of the Study -- References -- Comparative Analysis of Object Detection Models for the Detection of Multiple Face Masks -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Face Mask Detection -- 4.1 YOLOv3 -- 4.2 YOLOv4 -- 4.3 YOLOv5 -- 4.4 Proposed Methodology -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- ASL Real-Time Translator -- 1 Introduction -- 2 Literature Survey -- 3 Motivation -- 4 Architecture -- 5 Implementation -- 6 Challenges -- 7 Results and Discussion -- 8 Future Scope -- References -- House Price Forecasting by Implementing Machine Learning Algorithms: ; A Comparative Study -- Comparative Study of Graph Theory for Network System -- 1 Introduction -- 2 Incidence Operator -- 3 Adjacency Operator -- 4 Laplacian Operator -- 5 Importance of Graph Theory in Industry -- 6 Applications of Graph Theory in Network Theory -- 7 Data Structure and Representations -- 8 General Network Properties -- 9 Motifs -- 10 Network Design Models -- 10.1 The Star Topology -- 10.2 The Ring Topology -- 10.3 The Mesh Topology -- 11 Conclusion -- References -- 1 Introduction.; 2 Review of Literature -- 3 Methodology Proposed -- 4 Experimentation and Results -- 4.1 Data Genesis -- 4.2 Choosing Appropriate Attributes -- 4.3 Exploratory Analytics -- 5 Conclusions and Future Directions -- References -- Comparative Study of Graph Theory for Network System -- 1 Introduction -- 2 Incidence Operator -- 3 Adjacency Operator -- 4 Laplacian Operator -- 5 Importance of Graph Theory in Industry -- 6 Applications of Graph Theory in Network Theory -- 7 Data Structure and Representations -- 8 General Network Properties -- 9 Motifs -- 10 Network Design Models -- 10.1 The Star Topology -- 10.2 The Ring Topology -- 10.3 The Mesh Topology -- 11 Conclusion -- References -- Numerical Simulation and Design of Improved Filter Bank Multiple Carrier System as Potential Waveform for 5G Communication System -- 1 Introduction -- 2 FBMC (Filter Bank Multi-carrier) -- 3 Scope and Objectives -- 4 Background -- 5 Proposed Methodology -- 5.1 Structure and Algorithm of Proposed DFT-Spread FBMC Transmitter and Receiver -- 5.2 The Proposed FBMC Complex Effective Transmitter -- 6 Result Analysis -- 6.1 Performance Analysis Between Contending Waveforms -- 6.2 Simulation of Proposed PAPR Reduction Scheme for FBMC System -- 6.3 Analysis of Bit Error Rate -- 7 Conclusion and Future Scope -- 7.1 Conclusion -- 7.2 Future Scope -- References -- Automatic Classification and Enumeration of Bacteria Cells Using Image Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Research Method -- 3.1 Noise Removal -- 3.2 Counting and Classification -- 4 Result and Discussion -- 5 Conclusion -- References -- Liver Cirrhosis Stage Prediction Using Machine Learning: Multiclass Classification -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Dataset Chosen -- 3.2 Data Cleaning -- 3.3 Scaling -- 3.4 Feature Selection -- 4 Methodology Used -- 4.1 Algorithms.; 4.2 Performance Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Dynamic State Estimation of a Multi-source Isolated Power System Using Unscented Kalman Filter -- 1 Introduction -- 2 System Model -- 3 Proposed Unscented Kalman Filter -- 4 Simulation Study -- 5 Conclusion -- References -- Investigating Part-of-Speech Tagging in Khasi Using Naïve Bayes and Support Vector Machine -- 1 Introduction -- 2 Literature Review -- 3 Khasi PoS Tagging System Using SVM or NB Approach -- 4 Experimental Results -- 5 Conclusion -- References -- Machine Learning and Deep Learning-Based Detection and Analysis of COVID-19 in Chest X-Ray Images -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Models -- 2.3 Metrics of Performance -- 3 Results and Discussions -- 4 Comparative Performance Analysis -- 5 Conclusion and Future Work -- References -- A Comprehensive Study of Machine Learning Techniques for Diabetic Retinopathy Detection -- 1 Introduction -- 2 Diabetic Retinopathy Detection Using Machine Learning Algorithms -- 3 Dataset Used in DR Detection -- 4 Discussion -- 5 Conclusion -- References -- Evolution of WSN into WSN-IoT: A Study on its Architecture and Integration Challenges -- 1 Introduction -- 2 Evolution of WSN and IoT -- 3 Wireless Sensor Network and Sensor Node Architecture -- 3.1 Physical Layer -- 3.2 ; Data Link Layer -- 3.3 Network Layer -- 3.4 Transport Layer -- 3.5 Application Layer -- 4 IoT Architecture -- 4.1 Perception Layer -- 4.2 Transmission Layer -- 4.3 Application Layer -- 5 Integration of WSN and IoT -- 5.1 Front-End Proxy Approach -- 5.2 Gateway Approach -- 5.3 TCP/IP Overlay Approach -- 6 Challenges -- 6.1 Security -- 6.2 Interoperability -- 6.3 Topology Management and Data Unavailability -- 6.4 Miscellaneous -- 7 Conclusion -- References -- Big Data Security Trends.; 1 Introduction -- 2 Big Data Security Issues and Their Solutions -- 3 Big Data Security Solutions -- 4 Big Data Security Trends -- 5 Conclusion -- References -- Application of NLP and Machine Learning for Mental Health Improvement -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Plans -- 3.1 Dataset Description -- 3.2 Methodology -- 3.3 Flow Chart/Block Diagram -- 4 Output -- 5 Result and Discussion -- 6 Conclusion and Future Scope -- References -- Energy Efficient RPL Objective Function Using FIT IoT-Lab -- 1 Introduction -- 1.1 Motivation -- 2 Literature Survey -- 3 Experimental Details -- 3.1 FIT IoT-Lab Setup -- 4 Methodology -- 5 Result -- 5.1 Ring Deployment -- 5.2 Random Deployment -- 6 Conclusion -- References -- Effective Data-Sharing Method for Multiple ICR Management in Autonomous Distributed Control Systems -- 1 Introduction -- 2 Proposed Method -- 2.1 Assumptions -- 2.2 Sink Node-Based Data-Sharing Method -- 3 Simulation Evaluation -- 3.1 Simulation Evaluation Scenario -- 3.2 Simulation Results -- 4 Conclusion -- References -- Applicability of Communication Technologies in Internet of Things: A Review -- 1 Introduction -- 2 Communication Technologies in IoT -- 2.1 RFID -- 2.2 NFC -- 2.3 Bluetooth -- 2.4 Zigbee -- 2.5 LPWAN -- 2.6 Wi-Fi -- 2.7 Cellular Communication Technologies -- 3 Conclusion -- References -- A KNN-Based Intrusion Detection Model for Smart Cities Security -- 1 Introduction -- 2 Background and Related Works -- 3 Improved Approach for Smart Cities Security -- 3.1 Description of Proposed Model -- 3.2 Experimental Study and Results -- 4 Conclusion and Future Works -- References -- Design of Asymmetric Microstrip Quad-Band Reconfigurable Antenna -- 1 Introduction -- 2 Design of Hook-Shaped Asymmetric Microstrip Quad-Band Reconfigurable Antenna -- 3 Results and Discussions -- 4 Conclusion -- References.; COVID-19 and Associated Lung Disease Classification Using Deep Learning -- 1 Introduction -- 1.1 Social Benefits -- 2 Literature Review -- 3 Proposed Model -- 3.1 Methodology -- 3.2 Convolutional Layer -- 3.3 Pooling Layer -- 3.4 Flatten Layer -- 3.5 Dense Layer -- 4 Experimentation, Data Collection, and Performance Assessment -- 4.1 Dataset Description -- 4.2 Experiment Setup -- 4.3 Performance Assessment -- 4.4 Results on X-Ray Dataset -- 5 Conclusion -- References -- Type 2 Diabetes Prediction Using Machine Learning and Validation Using Weka Tool -- 1 Introduction -- 2 Implications of T2D -- 3 Related Work -- 4 Dataset Description -- 5 Methodology and Implementation -- 6 Result -- 7 Conclusion and Future Scope -- References -- DroidApp: An Efficient Android Malware Detection Technique for Smartphones -- 1 Introduction -- 2 Related Work -- 3 Proposed Malware Detection Model DroidApp -- 3.1 DroidApp -- 3.2 Proposed Algorithms for the Model -- 4 Result Analysis and Discussion -- 5 Social and Managerial Implications -- 6 Conclusion -- References -- A Hybrid Approach to Optimize Handover Margin in UWSN by Integration of ACO with PSO and MVO: A Comparative Analysis -- 1 Introduction -- 1.1 Underwater Wireless Sensor Networks (UWSNs) -- 1.2 Handover -- 1.3 Optimization Techniques -- 2 Literature Review -- 3 Problem Statement -- 4 Proposed Model -- 5 Result and Discussion ; -- 5.1 Phase 1: Simulation of HOM -- 5.2 Phase 2: Optimization of HOM -- 5.3 Phase 3: Energy-Efficient ACO-Based Simulation for Optimized Path Selection -- 5.4 Comparison of Time Consumption in Case of ACOMVO and ACOPSO -- 6 Conclusion -- 7 Future Scope -- References -- Cyber Risks and Security-A Case Study on Analysis of Malware -- 1 Introduction -- 2 Literature Survey -- 3 Social Implications -- 4 Risks on Financial Services: A Flashback -- 4.1 Keylogger -- 4.2 Adware.; 5 The Proposed Study.
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