6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : Bdcc 2023

• Autore: Haldorai Anandakumar
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (191 pages)
• Altri autori: RamuArulmurugan MohanramSudha
• Nota di contenuto: Intro -- 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing -- BDCC 2023 -- Contents -- About the Editors -- Part I: Big Data Analytics in Ubiquitous Data Science -- Spontaneous Traffic Management System for Counting Vehicle Using IoT and Image Processing Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Methodology Proposed -- 3.1 Counting of Vehicle Using Image Processing Technique -- 3.2 Internet-Based Data Transmission for Traffic Management System -- 3.3 The Method of Vehicle Detection and Tracking -- 3.4 NodeMCU -- 4 Experimental Results Discussion -- 5 Conclusions -- References -- Quality of Service Protection in 5G Mobile Ad Hoc Networks with Behavior Learning-Enhanced CNN-AODV Routing -- 1 Introduction -- 2 Power Aware Routing in Mobile Ad Hoc Networks -- 3 Our Proposed Algorithm -- 3.1 Reward Triad -- 3.2 State -- 3.3 Linking the Moving Stage -- 4 Experimental Analysis -- 5 Conclusion -- References -- Decoding Li-Ion Battery Longevity: Domain-Driven Approach with Advanced Feature Engineering and Machine Learning for RUL and SOH Estimation -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 3.1 Feature Extraction -- 3.2 Calculation of IC-Curve -- 4 Methodology -- 4.1 Data Simulation -- 4.2 NASA PCOE (Prognostic Center of Excellence) Battery Data -- 4.3 Stanford Toyota Data -- 4.4 Data Processing -- 4.5 Data Aggregation -- 4.6 Method of Data Aggregation -- 4.7 CC (Constant Current) -- 4.8 Features of IC-Curve -- 5 Model Training -- 5.1 Results -- 5.2 Evaluation Metric -- 6 Conclusion -- 7 Future Scope -- References -- Integrating Fuzzy Logic and Deep Learning for Effective Network Attack Detection with Fuzzified Deep Convolutional Neural Network -- 1 Introduction -- 1.1 Contribution -- 1.2 Organization -- 2 Literature Review. ; 3 Proposed Methodology: Fuzzified Deep Convolutional Neural Network (FDCNN) -- 3.1 Cross Layer Architecture Work on Fuzzy-Based Trusted Evaluation -- 3.1.1 Stage on Network Acquiring -- 3.1.2 The Data Forwarding Phase -- 3.2 Regularizing Deep Neural Network Classifier -- 3.2.1 Back Propagation -- 3.2.2 Forward Propagation -- 4 Experimental Analysis -- 4.1 Performance Measurements -- 4.2 Discussion -- 5 Conclusion -- References -- Part II: Big Data Analytics and Machine Learning -- Evolvable Hardware Using Genetic Algorithm -- 1 Introduction -- 1.1 Evolvable Hardware -- 1.2 Evolutionary Algorithm -- 1.3 Genetic Algorithm -- 2 Literature Survey -- 3 Genetic Algorithm in Evolvable Hardware -- 4 Results and Discussions -- 5 Conclusions and Future Work -- References -- Zero Watermarking and Data Authentication -- 1 Introduction -- 2 Literature Survey -- 2.1 Spatial Domain -- 2.2 Frequency Domain -- 3 The Proposed Zero Watermarking Methodology for Data Authentication -- 4 Experimental Results -- 5 Conclusions -- References -- Gender-Based Differences in Demographic and Time Domain Pulse Rate Variability Parameters in Association with Type2 Diabetic -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Recording Protocols -- 2.3 PRV Analysis -- 2.4 Statistical Analysis -- 3 Results -- 3.1 Demographic Gender-Based Differences in Overall Studied Population -- 3.2 Gender-Based Relationship Between Variables and DM -- 3.3 Significance Test Between all Combination of Dependent Categorical Variables and Independent Variables -- 4 Discussion -- 5 Conclusion -- References -- Symbiotic Organism Search: A Novel Paradigm for Feature Optimization in Finger Vein Recognition Systems -- 1 Introduction -- 2 Literature Study -- 3 A Proposed SOS Feature Selection Methodology for Finger Vein Recognition -- 3.1 Preprocessing -- 3.2 Feature Extraction. ; 3.2.1 Histogram of Oriented Gradients -- 3.2.2 Gray Level Occurrence Matrix -- 3.3 Feature Selection -- 3.3.1 Mutualism -- 3.3.2 Commensalism -- 3.3.3 Parasitism -- 3.3.4 KNN Classifier -- 4 Result and Discussion -- 5 Conclusion -- References -- Part III: Big Algorithms for Software Development -- Streamlining KYC Processes for Banks with Centralized Information Repository Using Design Thinking -- 1 Introduction -- 1.1 Objective -- 1.2 Scope -- 1.3 Problem Definition -- 1.4 Empathy -- 1.5 Bank Empathy Map -- 2 Related Works -- 3 Existing Systems -- 4 Proposed System -- 4.1 Ideate -- 4.2 System Architecture -- 5 Results and Discussions -- 6 Conclusion -- References -- Transforming Agriculture Through Internet of Things -- 1 Introduction -- 2 Literature Review -- 2.1 Agriculture in India -- 2.2 Technological Advancement in Indian Agriculture -- 2.3 Internet of Things (IoT) in Indian Agriculture -- 2.4 Challenges of Internet of Things (IoT) Implementation in Indian Agriculture -- 3 Research Methods -- 3.1 Variables for the Study -- 4 Results -- 5 Discussions -- 6 Conclusion -- References -- Anti-theft System Using Structural Similarity -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Structural Similarity Index Measure -- 3.2 Framework -- 4 Results and Discussion -- 5 Conclusion -- References -- Analysis and Prediction of CO2 Emissions, Energy Use, and Economic Growth Trilemma in India -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Methodology -- 4.1 Augmented Dickey-Fuller Test -- 4.2 Linear Regression -- 4.3 XGBoost Algorithm -- 5 Results -- 6 Conclusions -- 7 Discussions and Limitations -- References -- Cardless ATM Transaction System -- 1 Introduction -- 2 Objective of the Work -- 3 Existing System -- 4 Methodology Used in Proposed System -- 5 Module Description -- 5.1 Face Recognition -- 5.2 Database Setup. ; 5.3 Performing ATM Transactions -- 6 Implementation and Results -- 7 Conclusion and Future Enhancements -- 7.1 Conclusion -- 7.2 Future Enhancement -- References -- Index.
• Titolo autorizzato: 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
• ISBN: 3-031-54696-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865293803321
• Lo trovi qui: Univ. Federico II
• Serie: EAI/Springer Innovations in Communication and Computing Series