Innovations in signal processing and embedded systems : proceedings of ICISPES 2021 / / Jyotsna Kumar Mandal, Mike Hinchey and K. Sreenivas Rao, editors

• Record Nr.: UNINA9910627267803321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore Pte Ltd., , [2023]; ©2023
• ISBN: 981-19-1669-1
• Descrizione fisica: 1 online resource (489 pages)
• Collana: Algorithms for intelligent systems
• Disciplina: 004.16
• Soggetti: Signal processing - Digital techniques; Artificial intelligence; Embedded computer systems
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- E-Voting System Using Blockchain -- 1 Introduction -- 2 Existing Method -- 2.1 Paper Ballots -- 2.2 E-Voting -- 2.3 I-Voting -- 3 Proposed System -- 4 Architecture -- 5 Components of Proposed System -- 5.1 Client Browser, Metamask, Ganache -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Methodology -- 5 Algorithm -- 6 Results -- 7 Conclusion -- References -- Design and Development of IoT-Based Women Auspice System by Using NodeMCU -- 1 Introduction -- 2 Related Work -- 3 Existing Method -- 4 Proposed Method -- 5 Materials and Method -- 6 Working Methodology -- 7 Experimental Results -- 8 Conclusion -- 9 Future Scope -- References -- Efficient Identity-Based Integrity Auditing for Cloud Storage and Data Sharing -- 1 Introduction -- 2 Literature Survey -- 3 Feasibility Study -- 4 Proposed Scheme -- 5 Results -- 6 Conclusion and Future Scope -- References -- High‑speed 4:2 Compressor Toward Image Processing -- 1 Introduction -- 2 Suggested FULL ADDER Unit -- 3 Simulation Setup -- 4 Simulation Results Assessment and Comparison -- 5 Conclusion -- References -- ; Double MAC Supported CNN Accelerator -- 1 Introduction -- 2 Existing System -- 2.1 CNN Accelerator -- 2.2 Related Work -- 3 Proposed System -- 3.1 Proposed Double MAC Architecture -- 3.2 SIMD Multiplication of Unsigned Numbers -- 3.3 Accumulation and Double MAC Architecture -- 4 CNN Accelerator Based on Double MAC -- 5 Results -- 5.1 Modified DSP Block with Double MAC -- 5.2 RTL Schematic of CNN Accelerator -- 5.3 Timing Report -- 6 Conclusion -- References -- Hybrid Cryptosystem's Design with AES and SHA-1 Algorithms -- 1 Introduction -- 2 Literature Review.; 3 Proposed System -- 4 Methodology -- 5 Xilinx ISE -- 6 FPGA -- 6.1 FPGA Basics -- 7 Results -- 8 Conclusion -- References -- BTI Reliability Analysis of Low Leakage Fully Half-Select-Robust Free SRAM Design -- 1 Introduction -- 2 Existing Design -- 3 Proposed System -- 4 Results and Comparison -- 5 Conclusion -- References -- Intelligent Traffic Light System Using YOLO -- 1 Introduction -- 2 Work Flow -- 3 Database and Experimental Setup -- 4 Experimental Results -- 5 Conclusion -- References -- An Efficient Implementation of Programmable IIR Filter for FPGA -- 1 Introduction -- 1.1 Introduction to FPGA -- 2 Proposed Work -- 3 Simulation Result -- 4 Comparative Analysis -- 5 Conclusion -- References -- ASIC Implementation of Division Circuit Using Reversible Logic Gates Applicable in ALUs -- 1 Introduction -- 2 Proposed Model -- 3 Results Obtained for 32-Bit Division Circuit Employing Reversible Logic Gates -- 4 Conclusions -- References -- Operation of Asymmetric Hopfield Associative Memory: Orientation Selectivity -- 1 Introduction -- 2 State of the Art -- 3 Left Stable States, Right Stable States: Asymmetric Hopfield Neural Network -- 4 Programming of a Asymmetric Hopfield Neural Network -- 5 Associative Memory Architecture: HAM, AHNN Interconnection -- 6 Numerical Results -- 7 Conclusions -- References -- Intelligent Traffic Monitoring Systems Using Deep Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed DL Architecture -- 3.1 Establishment of Deep Learning Model Using CNN and LSTM -- 4 Implementation of DL Model -- 4.1 Parallel Training for DL Model -- 5 Performance Evaluation -- 6 Conclusion -- 7 Future Work -- References -- Multi-layer Hopfield Like Neural Network -- 1 Introduction -- 2 Review of Related Research Literature -- 2.1 Significance of Connectivity Structure -- 2.2 Biological Motivation.; 3 Multi-layer Hopfield Associative Memory -- 3.1 Incremental Expansion of ANN -- 3.2 Modes of Operation of Multi-layer Hopfield Like Neural Network -- 3.3 Application Significance of Proposed ANN -- 4 Numerical Results -- 5 Conclusions -- References -- Applications of Artificial Intelligence for Autonomous Landing and Multicopter Unmanned Aerial Vehicles Design by Space Exploration Machines -- 1 Introduction -- 1.1 Artificial Intelligence -- 1.2 Landing System -- 2 Applications of Artificial Intelligence in Landing -- 3 How Autonomous Landing by Using Artificial Intelligence Changes the Future -- 4 Conclusion -- References -- Automated Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Review of Literature -- 3 Design Requirements for Hybrid Skin Disease Detection System -- 3.1 System Architecture -- 4 General Framework for of the Skin Disease Detection System -- 5 Methodology -- 5.1 K-Nearest Neighbor -- 6 Performance Metrics -- 6.1 Accuracy -- 6.2 Precision -- 6.3 Recall -- 6.4 F1-Score -- 7 Result and Discussion -- 8 Conclusion -- References -- FinFET-Based SRAM Design Using MGDI Technique for Ultra-Low-Power Applications -- 1 Introduction -- 2 CMOS Inverter Design Using GDI -- 2.1 DC Analysis -- 2.2 Transfer Characteristics -- 2.3 Static Power -- 2.4 Total Power -- 3 GDI SRAM Design -- 3.1 Read and Write Operation of GDI SRAM -- 3.2 Power ; Analysis -- 4 Modified Gate Diffused Input FinFET (M-GDI)-Based SRAM -- 4.1 DC Analysis -- 4.2 Power Analysis -- 5 Design of FinFET-Based MGDI 6T SRAM -- 5.1 Power Analysis -- References -- Design and Implementation of Efficient Counter-Based IoT DDoS Attacks Detection System Using Machine Learning -- 1 Introduction -- 2 Internet of Things (IoT) -- 2.1 Authentication for IoT Devices -- 2.2 DDoS Attacks Detection.; 3 Internet of Things DDoS Attack Detection System Using Machine Learning -- 3.1 Methodology -- 3.2 IoT Devices -- 3.3 Data Preprocessing -- 3.4 Normalization -- 3.5 Feature Extraction -- 3.6 Feature Selection -- 3.7 Cross Validation -- 3.8 Machine Learning Methods -- 4 Results -- 5 Conclusion -- References -- Advancements of Artificial Intelligence in Microbiological Study by Extraction and Identification of Different Micro-organism Clusters -- 1 Introduction -- 2 Machine Learning Processes -- 3 Deep Learning Processes -- 4 AI Interventions in Microbiology -- 4.1 Study of Relation Between Human Health and Microorganisms -- 4.2 Extraction of a Microorganism Cluster from a Community of Different Microbial Species -- 4.3 Identification of Different Bacterial Species in Food -- 4.4 Identifying Nosocomial Infection in Hospitals -- 4.5 Identifying Bacteriophages in Metagenomic Bins and Contigs -- 4.6 Antiviral Peptides (AVP) -- 4.7 Identifying Tuberculosis Using Convolutional Neural Networks -- 4.8 Creating Drugs Capable of Killing Antibiotic Resistance Pathogens -- 4.9 AI in Fighting COVID-19 Pandemic -- 5 Conclusion -- References -- Rice Disease Detection and Classification Using Artificial Intelligence -- 1 Introduction -- 2 Classification of Rice Diseases -- 3 Related Work -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Network Intrusion Detection Using Machine Learning for Virtualized Data -- 1 Introduction -- 2 Network Intrusion Detection System -- 2.1 Support Vector Machine -- 2.2 Naive Bayes -- 3 Network Intrusion Detection Using Machine Learning -- 3.1 Attack Flows -- 3.2 Pre-processing -- 3.3 Feature Selection -- 3.4 Feature Reduction Using CfsSubsetEval -- 3.5 SVM Classification -- 3.6 Naïve Bayes Classification -- 4 Results -- 5 Conclusion -- References.; Detection of Human Behavior Using Swarm Technique and Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Particle Swarm Method Using ANN -- 4 Results and Discussion -- 5 Conclusion -- References -- Machine Learning-Based Approach for Classification of Weed Images -- 1 Introduction -- 2 Literature Survey -- 3 Methodologies -- 4 Results -- 5 Conclusion -- References -- Intelligence Speech Has Collapsed and Talking Unconsciously Circumstance Using Diva Module -- 1 Introduction -- 1.1 DIVA Module -- 2 Existing Method -- 2.1 Matching Pursuit Algorithm -- 2.2 Problem Finding of Existing Method -- 2.3 Experimental Tools -- 3 Proposed System -- 3.1 Problem Finding of Proposed Method -- 3.2 Description of ICA Analysis -- 3.3 Implementation of Eeglab -- 3.4 Path Setup to EEGLAB -- 4 Execution Results -- 5 Simulation Result for Denoising Signal -- 5.1 Output Graphs of Denoising Signal -- 6 Conclusion and Future Scope -- References -- A Wavelet-Based De-Noising Speech Signal Performance with Objective Measures -- 1 Introduction -- 2 Literature Survey -- 2.1 Weiner Filtering -- 2.2 Wavelet Transform -- 2.3 Discrete Wavelet Transform -- 2.4 Speech Quality Measures -- 2.5 The Weighted Spectral Slope Measure (WSSM) -- 3 Existing Method -- 4 Proposed Method -- 4.1 Algorithm -- 4.2 DWT Decomposition -- 4.3 Algorithm -- 4.4 Speech Corpus -- 4.5 Windowing Technique -- 5 Results and Discussion -- 5.1 Experiment results: Speech signal input 1: Characteristics -- 6 Conclusion and Future Scope Conclusion -- ; References -- Multispectral Image Compression Using Adaptive Thresholding in Wavelet Domain with Binary Plane Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experimental Setup Results -- 5 Conclusion and Future Scope -- References -- Privacy Ensured Transmission of Healthcare Records Using IoT-Enabled Systems -- 1 Introduction.; 2 Literature Survey.