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[null,null,"Titolo",null,"Emerging technology trends in electronics, communication and networking : select proceedings of the Fourth International Conference, ET2ECN 2021 / / Rasika Dhavse, Vinay Kumar and Salvatore Monteleone, editors"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"981-19-6737-7"]
[null,null,"Descrizione fisica",null,"1 online resource (343 pages)"]
[null,null,"Collana",null,"Lecture notes in electrical engineering ; ; Volume 952"]
[null,null,"Disciplina",null,"621.381"]
[null,null,"Soggetti",null,"Electronics - Technological innovations"]
[{"$nulls":4},"Telecommunication systems - Technological innovations"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Intro -- Organization -- Preface -- Plenary Talk -- Keynote Speeches -- Contents -- About the Editors -- Electronics -- Comparative Analysis of Static Bias Methods for Basic Differential Amplifier -- 1 Introduction -- 2 Circuit Description -- 3 Results and Discussion -- 4 Conclusion -- References -- Millimeter Wave Overmoded Circular Waveguide Tapers for ECRH Applications -- 1 Introduction -- 2 Theoretical Approach -- 3 Design Approaches -- 4 Simulation Outcome -- 4.1 Down Taper Ø (85 to 63.5) mm -- 4.2 Down Taper Ø (63.5 to 31.75) mm -- 5 Comparison and Discussion -- 6 Conclusion -- References -- Analysis of Logical Effort-Based Optimization in the Deep Submicron Technologies -- 1 Introduction -- 2 Determining the Optimum PMOS-To-NMOS Ratio -- 3 Logical Effort Method -- 3.1 Logical Effort Parameters [2] -- 3.2 Delay Optimization Using Logical Effort [2] -- 4 Logical Effort Parameters for 180 and 16 nm Technologies -- 4.1 Logical and Parasitic Effort of Different Gates -- 4.2 Defining Τ -- 4.3 Delay Variation Due to Branching Effort (B) -- 4.4 Delay Variation Due to Parasitic Effort (P) -- 4.5 Delay Variation Due to Electrical Effort (H) -- 4.6 Comparison Between Electrical Effort (H) and Parasitic Effort (P) -- 4.7 Delay Variation Due to Logical Effort (G) -- 4.8 Delay Reduction Using Logic Effort-Based Optimization or Super Buffer Circuit [6] -- 5 Conclusion -- References -- A Single Electron Transistor-Based Floating Point Multiplier "]
[{"$nulls":4},"Realization at Room Temperature Operation -- 1 Introduction -- 2 Architecture of Floating Point Multiplier -- 2.1 Mantissa Block -- 2.2 Exponent Block -- 2.3 Normalization Unit -- 2.4 Overflow/Underflow Detection -- 2.5 Sign Block -- 3 Simulation Results -- 4 Conclusion -- References -- Comparison of Total Ionizing Dose Effect on Tolerance of SCL 180 nm Bulk and SOI CMOS Using TCAD Simulation -- 1 Introduction."]
[{"$nulls":4},"2 Simulation of 180 nm SOI and SCL Bulk NMOS -- 3 Result and Analyses -- 3.1 Leakage Current -- 3.2 Threshold Voltage Shift -- 3.3 On/off Current -- 3.4 Transconductance (Gm) -- 3.5 Output Characteristics -- 3.6 Subthreshold Swing -- 4 Conclusion -- References -- Communication -- Performance Analysis of Corrugated Horn Antenna for Liquid Level Measurement Application -- 1 Introduction -- 2 Theory -- 3 Design and Simulation Results -- 4 Comparison and Discussion -- 5 Conclusion -- References -- Quad-Element with Penta-Band MIMO Antenna for 5G Millimeter-Wave Applications -- 1 Introduction -- 2 Antenna Design and Evolution of the Proposed Antenna Structure -- 3 Results and Discussion -- 4 Conclusion -- References -- Quad Band Planar Monopole Antenna with Polarization Diversity for FSS and SAR Application -- 1 Introduction -- 2 Design Procedure of Antenna -- 3 Simulation Justifications and Discussions -- 4 Conclusion -- References -- Design and Comparative Analysis of Reconfigurable Antenna with Compound Reconfigurability -- 1 Introduction -- 2 Proposed Antenna Geometry -- 3 Results and Comparative Analysis -- 4 Conclusion -- References -- Fractal CSRR Metamaterial-Based Wearable Antenna for IoT Application -- 1 Introduction -- 2 Antenna Design -- 3 Simulated Results and Analysis -- 4 Antenna Performance Under Bending Condition -- 5 SAR Calculations -- 6 Conclusion -- References -- GUI Development of IRNSS Receiver -- 1 Introduction -- 2 Literature Survey -- 2.1 Infrastructure -- 2.2 RTKLIB -- 3 GUI Development and Results -- 3.1 Results and Discussion -- 4 Conclusion and Discussion -- References -- A 1 Gbps VLC System Based on Daylight and Intensity Modulator -- 1 Introduction -- 2 Proposed VLC System -- 2.1 Block Diagram of Proposed Transmitter -- 2.2 Block Diagram of Proposed Receiver -- 3 Simulation Results -- 4 Conclusion and Future Work."]
[{"$nulls":4},"References -- Performance of MISO Systems with Alamaouti Transmit Diversity and Antenna Selection in TDD and FDD -- 1 Introduction -- 2 System Model -- 3 Results -- 4 Conclusion -- References -- Performance Analysis of OFDM-Based Optical Wireless Communication System -- 1 Introduction -- 2 System Description -- 2.1 Rainfall Analysis -- 2.2 Fog Analysis -- 3 Results and Discussion -- 3.1 System Analysis Under Rainfall -- 3.2 System Analysis Under Fog Condition -- 4 Conclusions and Future Scope -- References -- Performance Comparison of Different Diversity and Combining Techniques Over Gamma-Gamma FSO Link -- 1 Introduction -- 2 Channel Model -- 3 System Model -- 3.1 Detection Rule -- 4 Diversity and Combining Techniques -- 4.1 SISO -- 4.2 Transmitter Diversity -- 4.3 Receive Diversity -- 4.4 MIMO Systems -- 4.5 Wavelength Diversity -- 5 Simulation Results -- 6 Conclusion -- References -- Abstract Data Models and System Design for Big Data Geospatial Analytics -- 1 Introduction -- 1.1 Need Analysis -- 2 Related Work -- 2.1 Data Models -- 2.2 Analysis and Design of Geospatial Big Data Systems -- 3 Data Abstractions for Geographic Phenomena -- 3.1 Objects -- 3.2 Events -- 3.3 Processes -- 3.4 Relation Among Objects, Events and Processes -- 4 General Design of Big Data Geospatial Analytics System -- 4.1 Importing Data and Storing Raw Data -- 4.2 Common Considerations for Data Stores -- 5 Conclusion and Future Work -- 5.1 "]
[{"$nulls":4},"Summary -- 5.2 Conclusion and Future Work -- References -- Circularly Polarized Sector Patch Antenna with Fractal Defected Ground Structure -- 1 Introduction -- 2 Antenna Design and Geometry -- 2.1 Mathematical Modeling of the Proposed Antenna -- 2.2 The Design Evolution of the Proposed Antenna -- 3 Results -- 4 Conclusion -- References -- Two-Element MIMO Antenna with Polarization Diversity for 5G Application -- 1 Introduction."]
[{"$nulls":4},"2 Antenna Design and Geometry -- 2.1 Mathematical Modeling of the Antenna -- 2.2 Antenna Design Evolution Stages -- 3 Performance Analysis of Single-Antenna Unit -- 4 Polarization Diversity MIMO Antenna Design -- 4.1 MIMO Antenna Performance Analysis -- 5 Conclusion -- References -- Networking -- Machine Learning-Based Investigation of Employee Attrition Prediction and Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Classification Algorithms -- 3.1 Random Forest -- 3.2 Logistic Regression -- 3.3 K-Nearest Neighbors -- 3.4 Naïve Bayes Classifier -- 4 Research Methodology -- 5 Proposed Work -- 5.1 Weighted Class -- 5.2 Synthetic Minority Oversampling Technique -- 6 Results and Discussions -- 7 Observations and Conclusion -- References -- CNN-Based Leaf Wilting Classification Using Modified ResNet152 -- 1 Introduction -- 2 Literature Survey -- 3 Model Description for Leaf Wilting Classification -- 3.1 Model Selection -- 4 Results and Analysis -- 4.1 Dataset Description -- 4.2 Model Training -- 4.3 Evaluation -- 4.4 Field Testing -- 5 Conclusion -- References -- Deep Learning-Based COVID-19 Detection Using Transfer Learning Through ResNet-50 -- 1 Introduction -- 2 Related Work -- 3 Design Tools and Technologies -- 3.1 Convolutional Neural Network (CNN) -- 3.2 Deep Neural Network -- 3.3 Residual Network -- 3.4 ResNet-50 Architecture -- 3.5 Transfer Learning -- 4 Methodology -- 4.1 Dataset and Data Processing -- 4.2 System Flow -- 5 Results and Discussion -- 5.1 Cross-Validation -- 5.2 Performance of Deep Network Designer -- 6 Conclusion -- References -- OCR for Devanagari Script Using a Deep Hybrid CNN-RNN Network -- Abstract -- 1 Introduction -- 1.1 The Devanagari Handwritten Character Dataset -- 2 Literature Review -- 3 Background Theory -- 3.1 Convolutional Neural Networks (CNN)."]
[{"$nulls":4},"3.2 Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) -- 4 The Proposed Hybrid CNN-RNN Model Architecture -- 5 Results and Discussion -- 5.1 Implementation Details -- 5.2 Accuracy Versus Epochs -- 5.3 Quantitative Results -- 5.4 Dealing with Custom Inputs -- 6 Conclusion -- References -- A Dataset Preparation Framework for Education Data Mining -- 1 Introduction -- 2 Literature Survey -- 2.1 Education Data Mining -- 2.2 Integrated Postsecondary Education Data System (IPEDS) -- 3 IPEDS Dataset -- 4 Dataset Preparation Framework -- 5 A Case Study: Institute Graduation Rate Prediction Problem -- 5.1 Data Collection -- 5.2 Feature Analysis and Metadata Analysis -- 5.3 Feature Extraction Operations -- 5.4 Data Integration -- 6 Conclusion -- References -- Generative Adversarial Network-Based Improved Progressive Approach for Image Super-Resolution: ImProSRGAN -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Analysis -- 4.1 Ablation Study -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- Community Detection Using Label Propagation Algorithm with Random Walk Approach -- 1 Introduction -- 1.1 Need Analysis -- 2 Related Work -- 2.1 Community Detection Approaches -- 2.2 Different Label Propagation Algorithm -- 3 Proposed Research Work -- 4 Methodology and Concepts -- 4.1 Random Walk -- 4.2 Label Propagation Algorithm -- 5 Execution and Implementation -- 5.1 Dataset Selection and Preprocessing -- 5.2 Evaluation Measures -- 6 Results "]
[{"$nulls":4},"and Discussion -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Generative Adversarial Network-Based Single-Image Super-Resolution Approaches -- 1 Introduction -- 2 General Analysis -- 2.1 Super-Resolution Using Generative Adversarial Network (SRGAN) -- 2.2 Single-Image Super-Resolution with Feature Discrimination (SRFeat)."]
[{"$nulls":4},"2.3 Enhanced Super-Resolution Using Generative Adversarial Network (ESRGAN)."]