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Advanced Computing Techniques in Engineering and Technology : First International Conference, ACTET 2023, Jaipur, India, December 18-19, 2023, Proceedings
| Advanced Computing Techniques in Engineering and Technology : First International Conference, ACTET 2023, Jaipur, India, December 18-19, 2023, Proceedings |
| Autore | Bansal Ramesh C |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (121 pages) |
| Altri autori (Persone) |
FavorskayaMargarita N
SiddiquiShahbaz Ahmed JainPooja TandonAnkush |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-54162-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Real Time Pattern Recognition with Support Vector Machines and Local Binary Patterns -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Face Detection and Extraction -- 3.3 Gradient Calculation -- 3.4 Orientation Binning -- 3.5 Face Placement -- 3.6 Face Encoding -- 3.7 Face Matching -- 3.8 Updating Attendances in Database -- 4 Results -- 5 Conclusion -- References -- Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies -- 1 Introduction -- 2 Adversarial Attacks on Capsule Networks -- 3 What are the Potential Consequences of Adversarial Attacks on Machine Learning Algorithms? -- 3.1 Untargeted vs Targeted Attack -- 3.2 One Shot vs Iterative Attack -- 3.3 White Box and Black Box Attack -- 4 Research Questions -- 5 Review of Literature -- 6 Methodological Comparison -- 7 How Do Researchers Evaluate Potential Attacks or Defenses for Adversarial Machine Learning? -- 7.1 Input Denoising -- 7.2 Model Robustification -- 7.3 Adversarial Detection -- 8 Existing Defense Mechanisms in Adversarial Attack -- 9 Existing Research Limitations -- 10 How Effective are the Current Defenses Against Adversarial Attacks on Machine Learning Algorithms? -- 11 How Do Capsule Neural Networks Differ from Other Types of Neural Networks in Their Susceptibility to Adversarial Attacks? Are There any Current Solutions or Defenses Against Adversarial Attacks on Machine Learning Algorithms? -- 12 Open Challenges and Future Directions -- 13 Conclusion and Future Work -- References -- Control Schemes for Hybrid AC-DC Microgrid -- 1 Introduction -- 2 Different Architecture of MICROGRID -- 2.1 AC Coupled Microgrid -- 2.2 DC Coupled Microgrid -- 2.3 AC-DC Coupled Microgrid -- 3 Control Mechanism in AC-DC COUPLED HYBRID MICROGRIDS.
3.1 Primary Control -- 3.2 Secondary Control -- 3.3 Tertiary Control -- 4 ILC Control Methods -- 4.1 ILC Unified Control -- 4.2 ILC with ESS -- 4.3 Multiple Bidirectional ILCs Control -- 5 Critical Review -- 6 Conclusion -- References -- Design of Low Power and Energy Efficient Write Driver with Bitline Leakage Compensation for SRAM -- 1 Introduction -- 2 SRAM Cell and Array Architecture -- 2.1 Write Operation in Cell -- 3 Previous Write Drivers -- 3.1 Pass-Gate based (PG) Write Driver [9, 10] -- 3.2 AND-Gate based (AG) Write Driver [11] -- 3.3 Transmission-Gate Based (TG) Write Driver[11] -- 3.4 NOR-Gate based (NG) Write Driver [12, 13] -- 4 Proposed Write Driver Design -- 4.1 Structure of the Proposed Write Driver -- 4.2 Working Mechanism -- 4.3 Bitline Leakage-Compensation -- 5 Simulation and Discussion -- 5.1 Process Corner based Variations -- 5.2 Supply Voltage Based Variations -- 5.3 Temperature Based Variations -- 5.4 PVT-variations -- 5.5 Frequency Based Variations -- 6 Conclusion -- References -- Review of Synergistic Integration of Microstrip Patch Antennas in Biomedical and Artificial Intelligence Domains -- 1 Introduction -- 2 Literature Review -- 2.1 Microstrip Antenna in Bio-Medical -- 2.2 Radio Frequency Identification (RFID) Technology Used in Bio-Medical -- 2.3 Microstrip Patch Antenna in Artificial Intelligence -- 2.4 Advantages of Microstrip Patch Antenna in Artificial Intelligence -- 2.5 Application of Microstrip Patch Antenna in Artificial Intelligence -- 3 Synthetic Neural Networks -- 4 Conclusion -- References -- An Optimal Design of an MLFNN Coupled with Genetic Algorithm for Prediction of MIG-CO2 Welding Process -- 1 Introduction and Literature Review -- 2 Experiments and Data Collection -- 3 Techniques for Analysis -- 3.1 Regression Analysis -- 3.2 Neural Networks-Based Methods -- 4 Results and Discussion. 4.1 The Regression Modeling -- 5 Conclusion -- References -- Stochastic Model for Estimation of Aggregated EV Charging Load Demand -- 1 Introduction -- 2 Estimation of EV Fast Charging Load Profile -- 2.1 Estimation of Daily Driven Mileage -- 2.2 Estimation of Temporal Vehicle Distribution -- 2.3 Estimation of Charging Demand -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910842299403321 |
Bansal Ramesh C
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Energy Technology : Select Proceedings of EMSME 2020
| Advances in Energy Technology : Select Proceedings of EMSME 2020 |
| Autore | Bansal Ramesh C |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (783 pages) |
| Altri autori (Persone) |
AgarwalAnshul
JadounVinay Kumar |
| Collana | Lecture Notes in Electrical Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-1476-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- A New High Output Resistance Accurate CMOS Current Mirror -- 1 Introduction -- 2 Current Mirrors with Enhanced Characteristics Reported in the Literature -- 3 Proposed Accurate Current Mirror with Very High Output Resistance -- 3.1 Small-Signal Analysis -- 4 Simulation Results and Discussions -- 5 Conclusion and Future Scope -- References -- Designing and Comparison of Geometric Mean Circuits Based on MOS Translinear Principle Using Different FVF Structures -- 1 Introduction -- 2 FVF and Its Important Characteristics -- 2.1 Flipped Voltage Follower -- 2.2 Level Shifted and Cascaded Flipped Voltage Follower -- 3 Geometric Mean Circuits -- 3.1 MOS Translinear Loop -- 3.2 Proposed Geometric Mean Circuit Using Level Shifted FVF and Cascoded FVF -- 4 Simulation Results -- 5 Conclusions -- References -- A New Linear CMOS CDTA with Improved Characteristics -- 1 Introduction -- 2 Current Differencing Transconductance Amplifier -- 3 Linear Operational Transconductance Amplifier -- 4 Proposed Linear CMOS CDTA -- 5 Simulation Results -- 6 Conclusion -- References -- Design of Wind Energy Conversion System Utilizing Induction Generator with Pitch Angle Control -- 1 Introduction -- 2 Literature Review -- 3 Different Energy Conversion System -- 4 Modelling of Proposed System -- 5 Simulation Results -- 6 Conclusion -- References -- Analysis of SPA Scheme for Massive MIMO -- 1 Introduction -- 2 System Model -- 3 Proposed Scheme -- 3.1 Problem Formulation -- 3.2 Pilot Assignment -- 4 Numerical Results -- 5 Conclusion -- References -- Multiple Frequency Band Planar Antenna for Different Applications -- 1 Introduction -- 2 Proposed Antenna Design -- 3 Simulation Result -- 4 Conclusion -- References -- Implementation of Attendance Management System Based on Text and Face Recognition -- 1 Introduction.
2 Methodology Used in Implemented System -- 2.1 Nanonets -- 2.2 OpenCV -- 2.3 AWS Rekognition -- 2.4 Raspberry Pi -- 2.5 Camera Module -- 3 Optical Character Recognition -- 3.1 Training Nanonets OCR Model for ID Card Data Extraction -- 4 Facial Recognition -- 4.1 Pre-processing -- 4.2 Face Detection -- 4.3 Face Recognition -- 5 Experimental Results and Discussion -- 5.1 Accomplishments -- 6 Conclusions -- References -- Performance Analysis of Fuzzy Logic-Based MPPT Controller for Solar PV System Using Quadratic Boost Converter -- 1 Introduction -- 2 DC-DC Converter -- 3 Maximum Power Point Tracking (MPPT) -- 3.1 MPPT Using Incremental Conductance (InCond) Method -- 3.2 MPPT Using Fuzzy Logic Method -- 4 Simulations and Results -- 4.1 Simulation Results for Solar PV System with InCond MPPT Controller for Solar Irradiance Values: 400, 600, 800, and 1000 W/m2 @ T = 25 °C and 1000 W/m2 @ T = 35 °C and 45 °C -- 4.2 Simulation Results for Solar PV system with Fuzzy MPPT Controller for Solar Irradiance values: 400, 600, 800, and 1000 W/m2 @ T = 25 °C and 1000 W/m2 @ T = 35 °C and 45 °C -- 5 Analysis and Discussion of the Simulation Results -- 6 Conclusions -- References -- An Analysis on Frequency Control of Microgrid Including Diverse Renewable Energy Sources -- 1 Introduction -- 2 Modelling of Diverse Renewable Energy Sources -- 2.1 Modelling of PV Module/Array -- 2.2 Modelling of Wind Farm -- 3 Implementation Procedure -- 4 MATLAB/Simulink Model for the Suggested System -- 5 Results and Analysis -- 6 Conclusion -- References -- Islanding Detection Scheme for Single-Phase Grid-Connected Solar Photovoltaic System using Support Vector Machine -- 1 Introduction -- 2 Islanding Detection Method -- 3 Description of Grid-Connected System -- 4 Islanding Detection in the Microgrid -- 4.1 Wavelet Transform -- 4.2 Discrete Wavelet Transform. 4.3 Support Vector Machine -- 5 Results and Analysis -- 6 Conclusion -- References -- Thermal Imaging-Based Fault Diagnosis of Electronics Circuit Boards -- 1 Introduction -- 2 Thermal Imaging as a Diagnosis Tool -- 3 Experimental Setup and Data Acquisition -- 4 Experimental Setup and Data Acquisition -- 4.1 Discrete Wavelet Transform -- 4.2 Feature Extraction -- 4.3 Feature Reduction and Selection -- 5 Result and Discussion -- 6 Conclusion -- References -- Power-Efficient Bidirectional Shift Register Using Conditional Bidirectional Pulsed Latch Circuit -- 1 Introduction -- 2 Design of 4-Bit Bidirectional Shift Register Using Bidirectional Pulsed Latch circuit -- 2.1 One-Bit Conditional Clock Generator -- 2.2 Bidirectional Pulsed Latch Circuit -- 2.3 Modified Bidirectional Circuit -- 3 Simulation Results -- 4 Conclusion -- References -- A State-of-the-Art Review on LVRT Enhancement Techniques for DFIG-Based Wind Turbines -- 1 Introduction -- 2 Aspects of LVRT Capability -- 3 LVRT Capability Enhancement Techniques -- 3.1 Protection Strategies Based Techniques -- 3.2 Control Strategies-Based Techniques -- 3.3 FACTS-Based Techniques -- 3.4 Hybrid Strategies-Based Techniques -- 4 Conclusion -- References -- Design of Traffic Sign Detection Using Hardware and Software Co-design -- 1 Introduction -- 2 Background -- 2.1 Processing -- 2.2 Conversion -- 2.3 Implementation -- 3 Simulation Results -- 4 Conclusion -- References -- Electricity Generation Using Wind Tree -- 1 Introduction -- 2 Literature Review -- 3 Wind Tree -- 4 Wind Turbines -- 4.1 Horizontal Axis Turbines -- 4.2 Vertical Axis Turbines -- 5 Aeroleaf -- 6 Component Required for Wind Tree -- 6.1 Plastic Molded Aeroleaves -- 6.2 12 V DC Generator -- 6.3 Auto Buck/Boost Converter -- 6.4 Rechargeable 12 V / 48 V DC Battery -- 7 Methodology and Working of Wind Tree. 8 Expected Model of Wind Treeand Its Technical Description -- 9 Advantages/Disadvantages of Wind Tree -- 9.1 Advantages -- 9.2 Disadvantages -- 10 Application with Respect to Society -- 11 Conclusion -- 12 Future Scope -- References -- Reliability-Based Optimal Sizing for an Isolated Wind-Battery Hybrid Power System Using Butterfly PSO -- 1 Introduction -- 2 Wind Power Modeling -- 3 Problem Formulation -- 3.1 Objective Function -- 3.2 Constraints -- 4 Methodology: Implementation of BF-PSO -- 5 Case Study and Results -- 6 Conclusion -- References -- Analyzation of Temperature Rise in Induction Motor for Electric Vehicles -- 1 Introduction -- 2 Proposed Approach for Thermal Analysis -- 3 Model of TEFC-Type Induction Motor -- 3.1 Specifications of TEFC Induction Motor -- 3.2 Calculation of Heat Sources -- 4 Results for Thermal Analysis of Induction Motor -- 4.1 Air Flow in Motor -- 4.2 Prediction of Temperature Rise in Various Parts of the Motor -- 4.3 Validation of Results -- 5 Conclusion -- References -- Technical Review on Optimal Reactive Power Dispatch with FACTS Devices and Renewable Energy Sources -- 1 Introduction -- 2 Review on ORPD as a Single- and Multiobjective Optimization Problem -- 3 Review on ORPD Problem with FACTS Devices -- 4 Review on ORPD Considering the Impact of Renewable Energy Sources -- 5 Conclusion -- References -- A Deep Learning Approach to Recognize Faces After Plastic Surgery -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Algorithm -- 3.1 Overall Framework -- 3.2 Network Architecture -- 4 Results and Discussion -- 5 Conclusion -- References -- IoT-Based Energy Monitoring and Controlling System for Home Automation -- 1 Introduction -- 1.1 Existing System -- 2 Proposed System -- 2.1 System Flow Diagram -- 2.2 Modules and Description -- 3 Results and Discussion -- 3.1 Features of HiveMQ MQTT Broker. 3.2 Comparison of MQTT Protocol and HTTP Protocol -- 4 Conclusion -- References -- Power Transformer Summer Peak Load Prediction Using SCADA and Supervised Learning -- 1 Introduction -- 2 Methodology -- 3 Results Analysis -- 4 Conclusions -- References -- Analysis of M-ary QAM-Based OFDM Systems in AWGN Channel -- 1 Introduction -- 2 Quadrature Amplitude Modulation (QAM) and M-ary QAM -- 2.1 Modulator and Demodulator in QAM -- 3 OFDM System Design -- 3.1 Estimation of AWGN Channel -- 3.2 Bit Error Rate (BER) -- 4 Simulation -- 5 Results -- 6 Conclusion -- References -- Detection of Imagery Vowel Speech Using Deep Learning -- 1 Introduction -- 2 Data Acquisition -- 2.1 Subjects -- 2.2 Experimental Procedure -- 3 Methodology -- 3.1 CNN Model -- 3.2 LSTM Model -- 3.3 CNN + LSTM Model -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimization of Process Parameters by Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) Model of FFF Process -- 1 Introduction -- 2 Literature Review -- 3 Quality Issues in FFF -- 4 Research Gap -- 5 Principal Component Analysis -- 6 Adaptive Neuro-Fuzzy Inference System (ANFIS) Introduction -- 7 Development of ANFIS Model by Application of MATLAB® -- 8 Methodology -- 9 Results and Discussions -- 10 Conclusions -- References -- Skin Lesion Characterization with Ensembles of Machine Learning and Deep Learning Models -- 1 Introduction -- 2 Artificial Intelligence in Medicine -- 3 Dataset -- 4 Machine Learning Classifiers -- 4.1 Image Pre-Processing -- 4.2 Segmentation -- 4.3 Feature Extraction -- 4.4 Training the Machine Learning Classifier -- 4.5 Result -- 5 Deep Learning Network -- 5.1 Pretrained CNN -- 5.2 Ensemble Approach -- 5.3 Result -- 5.4 Testing the Trained Network -- 6 Conclusion -- References -- Auto Streetlight Control with Detecting Vehicle Movement -- 1 Introduction. 2 Review of Literature. |
| Altri titoli varianti | Advances in Energy Technology |
| Record Nr. | UNINA-9910497090103321 |
|
Bansal Ramesh C
|
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Computational Intelligence and Emerging Power System : Iccips 2021
| Proceedings of International Conference on Computational Intelligence and Emerging Power System : Iccips 2021 |
| Autore | Bansal Ramesh C |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2022 |
| Descrizione fisica | 1 online resource (373 pages) |
| Altri autori (Persone) |
ZemmariAkka
SharmaK. G GajraniJyoti |
| Collana | Algorithms for Intelligent Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9789811641039
9789811641022 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910513589303321 |
|
Bansal Ramesh C
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||