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Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 2
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 2
Autore Shivakumara Palaiahnakote
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer, , 2024
Descrizione fisica 1 online resource (610 pages)
Altri autori (Persone) MahantaSaurov
SinghYumnam Jayanta
Collana Lecture Notes in Networks and Systems Series
ISBN 9789819736041
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Editors and Contributors -- VLSI and Semiconductors, Electronics System, IoT, Robotics and Automations -- Classification of Bearing Faults by Approximation of Peak-To-Peak Amplitudes Distribution -- 1 Introduction -- 2 Materials and Methods -- 3 Numerical Study -- 4 Conclusions -- References -- Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs -- 1 Introduction -- 2 Materials and Methods -- 3 Experiment -- 4 Conclusions -- References -- Design and Development of Parallel Beamformer Model for RTL Verification -- 1 Introduction -- 2 Background -- 3 Development of Parallel Beamformer Model -- 3.1 Specifications -- 3.2 MATLAB® Modelling -- 3.3 Defining Ultrasound Transducer Using K-Wave -- 4 Verification of RTL Model -- 5 Results and Discussions -- 6 Conclusion -- References -- Early Detection of Oral Cancer Using Image Processing and Computational Techniques -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Study Design -- 3.2 System Requirements and Training Parameters -- 3.3 Dataset Description -- 3.4 Feature Selection and Segmentation -- 3.5 Model Evaluation Metrics -- 3.6 Reviewing the Models Performance Individually -- 3.7 Performance Analysis -- 4 Graphic User Interface -- 5 Conclusion -- References -- LoRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Study Area -- 3.2 Materials Used -- 3.3 Architecture -- 3.4 Prototype Development -- 3.5 Novelty -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Study and Implementation of Smart Positioner Prototype for Industrial Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology and Project Development Stages -- 4 Results and Conclusion -- References.
Tactile Internet: A Next Gen IoT Technology -- 1 Introduction -- 1.1 Literature Survey on Tactile Internet -- 2 Haptic Communication -- 2.1 Haptic Capture -- 2.2 Haptic Encoding -- 2.3 Haptic Delivery -- 3 Requirements -- 4 Architecture -- 4.1 Master Domain -- 4.2 Controlled Domain -- 4.3 Network Domain -- 5 Communication Technology for TI -- 6 Comparison -- 7 Application -- 7.1 Telepresence with Tactile Feedback -- 7.2 Industrial Automation -- 7.3 Healthcare -- 7.4 Autonomous Driving -- 8 Research Issues -- 8.1 Latency Reduction in TI Application -- 8.2 Architectural Issues -- 8.3 Resource Allocation in TI -- 8.4 Haptic Communication -- 8.5 Augmented/Virtual Reality Issues -- 9 Network Simulations -- 10 Conclusion -- References -- A Deep Learning Approach for Hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks -- 1 Introduction -- 2 Methodology -- 2.1 Parsing the Hardware -- 2.2 Generation of Hardware Schematics -- 2.3 Transformation of Graphviz Graphs -- 2.4 Management of Hardware Configuration -- 2.5 GNN Model -- 3 Dataset and Model -- 4 Experimental Results -- 5 Conclusion -- References -- A Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication -- 1 Introduction -- 1.1 JPEG -- 1.2 JPEG 2000 -- 1.3 Modified Jpeg Based on DCT -- 1.4 Modified Jpeg Based on DST -- 2 Discrete Wavelet Transform (DWT) -- 3 Performance Evaluation Parameter Metrics -- 3.1 MSE -- 3.2 PSNR -- 3.3 Quantization in JPEG -- 4 Results and Discussion -- 5 Conclusion -- References -- Iot-Based Transport Monitoring System for Pharmaceutical Industry -- 1 Introduction -- 2 Proposed System -- 2.1 Implementation -- 3 Results and Discussions -- 4 Conclusion and Future Scope -- 4.1 Conclusion -- 4.2 Future Scope -- References -- Non-intrusive Remote Apiculture Monitoring System -- 1 Introduction -- 2 Project Design.
2.1 Using Arduino Uno Microcontroller -- 2.2 Using ARM Cortex Microcontroller -- 2.3 Implementation -- 2.4 Implementation Using Arduino Uno Microcontroller -- 2.5 Implementation Using ARM Cortex Microcontroller -- 3 Results and Discussions -- 4 Conclusion and Future Scope -- 4.1 Conclusion -- 4.2 Future Scope -- References -- Design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication -- 1 Introduction -- 2 Antenna Design and Methodology -- 3 Result and Analysis -- 3.1 Bandwidth -- 3.2 VSWR -- 3.3 Gain -- 3.4 E-Field Distribution -- 3.5 Radiation Pattern -- 4 Conclusion -- References -- IoT Based Real-Time Automatic Number Plate Detection Using OpenCV -- 1 Introduction -- 2 Objective -- 3 Related Work -- 4 Proposed System -- 5 Module -- 6 Flow Diagram -- 7 Block Diagram -- 8 Implementation -- 8.1 Image Acquisition -- 8.2 Loading Model Using OpenCV DNN -- 8.3 Detection of Plate -- 8.4 Cropping ROI -- 8.5 Image Processing and Extraction of Characters Using OCR -- 8.6 Data Uploading -- 8.7 Uploading Resultant Images -- 8.8 Dashboard -- 9 Hardware Implementation -- 9.1 Hardware Component Used -- 9.2 Hardware Setup -- 10 Result -- 11 Conclusion -- 12 Future Scope -- References -- Prompt Engineering for the Automated Generation of Weaving Pattern -- 1 Introduction -- 2 Literature Review -- 3 Weave Pattern Representation -- 3.1 Draft Notation -- 3.2 Point Paper Drafting -- 3.3 Weaving Information Format -- 3.4 Threaded Diagrams -- 3.5 Code Representation -- 4 Prompt Engineering -- 5 Proposed Method -- 6 Experimental Result -- 7 Conclusion -- References -- Blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Machine Learning -- 3.1 Supervised Learning -- 3.2 Unsupervised Learning -- 3.3 Reinforcement Learning -- 4 Blood Diseases.
4.1 Anemia -- 4.2 Thrombocytopenia -- 4.3 Hemochromatosis -- 4.4 Leukocytosis -- 5 Proposed Methodology -- 5.1 Data Set -- 5.2 Techniques Used by Disease Detection System -- 5.3 Disease Detection System Using Haemogram Report Dataset -- 6 Experiment Results -- 7 Conclusion and Future Work -- References -- Development of SPR Sensor-Based System for Copper Ion Detection in Water -- 1 Introduction -- 2 Experimental Setting -- 2.1 Synthesis of Gold Nanoparticles -- 2.2 Preparation of Copper Univar Solution -- 2.3 Observation of SPR Peak Shift in UV Spectroscopy -- 2.4 Design of Optoelectronic Setup -- 3 Results and Discussions -- 3.1 Study of Plasmonic Shifts Using UV Spectroscopy -- 3.2 Electronic Outcome of SPR Variation -- 4 Conclusion -- References -- Digital Technologies for Future -- Generation of YuBraj Twist and YuBrajTwest Weaves -- 1 Introduction -- 2 YumnamBrajarani (YuBraj) TwistWeaves -- 3 Generation of YuBrajTwest Weaves -- 4 Experimental Results -- 5 Conclusions -- References -- Maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study -- 1 Introduction -- 2 Significance of Solar Water Pumps in Addressing Water Scarcity Challenges, Promoting Sustainable Irrigation Practices in Rural Areas -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- Integrative Analysis of Cancer Gene Expression Using Bio-Inspired Algorithms and Machine Learning: Identification of Key Genes -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Proposed Methodology -- 3.3 Proposed Algorithm for Gene Selection -- 4 Results and Discussion -- 4.1 Occurrences in NB Classifier -- 4.2 Occurrences in NC Classifier -- 4.3 Occurrences in kNN Classifier -- 4.4 Occurrences in SVM Classifier -- 4.5 Occurrences in RF Classifier -- 5 Conclusion -- References.
Potential of AI in Pharma: Bridge the Gap Between Data and Therapeutics -- 1 Historical Perspective -- 1.1 Drug Designing -- 1.2 Artificial Intelligence in Drug Designing -- 2 Artificial Intelligence and Machine Learning -- 2.1 Supervised Learning -- 2.2 Unsupervised Learning -- 2.3 Reinforcement Learning -- 2.4 Semi-supervised Learning -- 2.5 Deep Learning -- 3 AI in Drug Discovery -- 3.1 Target Identification and Validation -- 3.2 Molecule Design and Optimization -- 3.3 Clinical Trials and Personalized Medicine -- 4 AI and ML in Predicting Drug Properties -- 4.1 Harnessing Big Data for Drug Discovery -- 4.2 Accelerating Drug Screening and Optimization -- 4.3 Predicting Drug Safety and Side Effects -- 4.4 Personalized Medicine and Targeted Therapies -- 5 Proposed AI and ML Algorithm's -- 5.1 Data Preprocessing -- 5.2 Target Screening Prediction -- 5.3 3D Structure Prediction -- 5.4 Simulated Structure Prediction -- 6 Challenges of AI and ML in Pharmaceuticals -- 6.1 Data Quality and Accessibility -- 6.2 Model Interpretability and Explainability -- 6.3 Regulatory and Ethical Considerations -- 6.4 Overcoming the Validation Gap -- 6.5 Integration with Existing Workflows -- References -- A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs -- 1 Introduction -- 2 Simulation of Flow Phantom Using FIELD-II -- 3 Imaging of Simulated Flow Phantom Using MATLAB -- 4 US Imaging Implementation in QT Using Conventional C++ and Intel IPPs -- 5 Results -- 6 Conclusion -- References -- Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein-protein Interaction Network -- 1 Introduction -- 2 Basic Definition -- 3 Proposed Work -- 3.1 Deep Reach Centrality and Its Significance -- 3.2 Deep Reach Centrality Matrix.
3.3 Similarity and Dissimilarity Analysis of the Proposed Centrality Measure 'Deep Reach Centrality' with 13 Existing Degree-Based and Distance-Based Centrality Measures.
Record Nr. UNINA-9910874687103321
Shivakumara Palaiahnakote  
Singapore : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICE-DT 2023 / / edited by Sri Niwas Singh, Saurov Mahanta, Yumnam Jayanta Singh
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICE-DT 2023 / / edited by Sri Niwas Singh, Saurov Mahanta, Yumnam Jayanta Singh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (724 pages)
Disciplina 060
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Artificial intelligence
Quantitative research
Internet of things
Computer networks - Security measures
Computational Intelligence
Artificial Intelligence
Data Analysis and Big Data
Internet of Things
Mobile and Network Security
ISBN 981-9916-99-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements and Future Directions -- Real Time Face Mask Detector with Multi-class Classification using Deep Neural Networks -- Data Correlation Analysis to Curb Road Accidents -- Speech Recognition via Machine Learning in Recording Studio -- Clustering-Based Filter Pruning Approach for Efficient ConvNets -- SMS and E-mail Spam Classification using Natural Language Processing and Machine Learning -- Detecting Malware in Windows Environment Using Machine Learning -- Fake News Detection using LSTM Based Deep Learning Approach and Word Embedding Feature Extraction -- Safe Distance Monitoring for COVID-19 Using YOLOv3 Object Recognition Paradigm -- Machine Learning Based Depth of Anesthesia Estimation using Spectral and Statistical Features of EEG.
Record Nr. UNINA-9910734861403321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui