Modeling, Simulation and Optimization : Proceedings of CoMSO 2022

• Autore: Das Biplab
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (601 pages)
• Altri autori: PatgiriRipon BandyopadhyaySivaji BalasValentina Emilia RoySukanta
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- 1 On P-refinement in Topology Optimization -- 1.1 Introduction -- 1.2 Finite Element Analysis -- 1.2.1 Finite Element Analysis Using Single and Dual Mesh -- 1.3 Compliance Minimization Problem -- 1.3.1 Sensitivity Analysis for Single and Dual Mesh -- 1.4 Description of Test Cases -- 1.5 Results and Discussion -- 1.6 Conclusion -- References -- 2 Computational Analysis of Darrieus Vertical Axis Wind Turbines for Exhaust Air Energy Extraction -- 2.1 Introduction -- 2.1.1 Wind Turbines -- 2.2 Methodology -- 2.2.1 Key Performance Parameters -- 2.2.2 Computational Domain and Boundary Conditions -- 2.2.3 Physics Conditions -- 2.2.4 Model Validation -- 2.3 Results -- 2.3.1 Coefficient of Moment and Coefficient of Power of H Darrieus VAWT -- 2.3.2 Velocity and Pressure Analysis of H-Darrieus VAWT -- 2.3.3 Coefficient of Moment and Coefficient of Power of Helical Darrieus VAWT -- 2.3.4 Velocity and Pressure Analysis for Helical Darrieus VAWT -- 2.3.5 Comparison of H-Darrieus and Helical Darrieus VAWT -- 2.4 Conclusions -- References -- 3 A Wideband Circular Slot-Loaded Hexagon-Shaped Microstrip Antenna for Microwave RF Energy Harvesting -- 3.1 Introduction -- 3.2 Antenna Geometry -- 3.3 Result and Discussion -- 3.4 Conclusion -- References -- 4 A New Method of Population Initialization for Enhancing Performance of Evolutionary Algorithms -- 4.1 Introduction -- 4.2 Differential Evolution (DE) -- 4.3 Concept of Opposite Point -- 4.4 Proposed OPDE Algorithm -- 4.5 Experimental Results and Discussion -- 4.6 Conclusions -- References -- 5 Performance Analysis of Metaheuristic Methods in the Classification of Different Human Behavioural Disorders -- 5.1 Introduction -- 5.1.1 Contribution -- 5.2 Literature Review -- 5.3 Material and Methods -- 5.3.1 Dataset -- 5.4 Results and Analysis -- 5.5 Conclusion. ; References -- 6 The Influence of Wall Temperature on Total Pressure Drop During Condensation of R134a Inside a Dimpled Tube -- 6.1 Introduction -- 6.2 Governing Equations -- 6.3 Results and Discussions -- 6.4 Conclusion -- References -- 7 Optimisation of Biodiesel Production Using Heterogeneous Catalyst from Palm Oil by Taguchi Method -- 7.1 Introduction -- 7.2 Materials and Methodology -- 7.2.1 Catalyst Preparation -- 7.2.2 Characterisation of Catalyst -- 7.2.3 Transesterification Process -- 7.2.4 Design of Experiment Using Taguchi Methodology -- 7.2.5 Signal-to-Noise Ratio (SNR) and Analysis of Variance (ANOVA) -- 7.3 Results and Discussion -- 7.3.1 SEM Analysis -- 7.3.2 Taguchi Method for Process Parameter Optimisation -- 7.3.3 Analysis of Variance (ANOVA) -- 7.3.4 Maximum Yield Prediction and Validation -- 7.3.5 Physicochemical Properties of POME -- 7.4 Conclusion -- References -- 8 Optimization of Heterogeneous Biomass-Based Nano-Catalyzed Transesterification of Karanja Seed Oil for Production of Biodiesel -- 8.1 Introduction -- 8.2 Materials and Methodology -- 8.2.1 Karanja Oil and Chemicals -- 8.2.2 Synthesis of Catalyst -- 8.2.3 Characterization of Catalyst -- 8.2.4 Transesterification of Karanja Oil to Produce Biodiesel -- 8.2.5 Design of Experiment -- 8.3 Result and Discussion -- 8.3.1 XRD Analysis of Grape Fruit Peel Ash Catalyst -- 8.3.2 EDS and SEM Analysis of GFP Catalyst -- 8.3.3 Statistical Data Analysis -- 8.3.4 Effect of Catalyst Loading and the M/O molar Ratio on KOME Yield (%) -- 8.3.5 The Influence of Catalyst Amount and Reaction Time on the Yield (%) of KOME -- 8.3.6 Effect of Methanol-to-Oil Molar Ratios and Reaction Time on KOME Yield (%) -- 8.3.7 Optimization of Transesterification Reaction Parameters -- 8.4 Conclusions -- References -- 9 Population Diversity-Aided Adaptive Cuckoo Search -- 9.1 Introduction. ; 9.1.1 Evolutionary Algorithms -- 9.1.2 Exploration and Exploitation -- 9.1.3 Population Diversity -- 9.2 The Cuckoo Search Algorithm -- 9.3 The Proposed Adaptive Cuckoo Search Algorithm -- 9.4 Evaluation Process -- 9.4.1 Evaluating Algorithms -- 9.4.2 Evaluation Strategy -- 9.4.3 Performance Metrices -- 9.5 Result Analysis -- 9.6 Discussions and Conclusion -- References -- 10 Solitons of the Modified KdV Equation with Variable Coefficients -- 10.1 Introduction -- 10.2 Governing Equations -- 10.2.1 Solution for Bright Soliton -- 10.2.2 Solution for Dark Soliton -- 10.2.3 Solution for Singular Soliton -- 10.3 Result and Discussion -- 10.4 Conclusion -- References -- 11 A Review on Lung Cancer Detection and Classification Using Deep Learning Techniques -- 11.1 Introduction -- 11.2 Data Set Used in Literature Survey -- 11.2.1 LC25000 -- 11.2.2 ACDC@LungHP -- 11.2.3 LIDC-IDRI -- 11.2.4 LUNA-16 -- 11.3 Literature Survey -- 11.3.1 Lung Cancer Detection and Classification Using CNN -- 11.3.2 Lung Cancer Detection and Classification Using R-CNN -- 11.3.3 Lung Cancer Detection and Classification Using ANN -- 11.3.4 Lung Cancer Detection and Classification Using U-Net -- 11.4 Summary -- 11.5 Challenges -- 11.6 Future Scope -- 11.7 Conclusion -- References -- 12 Enhancement and Gray-Level Optimization of Low Light Images -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Image Intensity Transformation Techniques -- 12.3.1 Linear Transformation -- 12.3.2 Logarithmic Transformation -- 12.3.3 Power Law Transformation -- 12.4 Proposed Model -- 12.5 Proposed Experimental Results and Discussion -- 12.6 Conclusion -- References -- 13 Prediction of Liver Disease Using Machine Learning Approaches Based on KNN Model -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Proposed Methodology -- 13.3.1 Dataset Acquisition -- 13.3.2 Data Pre-processing -- 13.3.3 Model Training. ; 13.4 Comparative Result Analysis -- 13.5 Conclusion -- References -- 14 Modelling of Embedded Cracks by NURBS-Based Extended Isogeometric Analysis -- 14.1 Introduction -- 14.2 Extended Isogeometric Analysis -- 14.2.1 Basis Function -- 14.2.2 XIGA Discretization -- 14.2.3 Selection and Enrichment of Control Points -- 14.2.4 Integration of the Elements -- 14.2.5 Approximation -- 14.2.6 Crack Formulation -- 14.3 Evaluation of SIF -- 14.4 Result and Discussions -- 14.5 Conclusion -- References -- 15 A New Version of Artificial Rabbits Optimization for Solving Complex Bridge Network Optimization Problem -- 15.1 Introduction -- 15.2 Artificial Rabbit Optimization -- 15.3 The Proposed Method -- 15.3.1 Chaotic Map for ARO -- 15.3.2 Cauchy Operator -- 15.4 Experimental Results and Analysis -- 15.4.1 Parameter Setup -- 15.4.2 Results and Analysis -- 15.4.3 Investigation of the Exploitative Ability of the CCARO -- 15.4.4 Investigation of the Exploratory Ability of the CCARO -- 15.4.5 Complex Bridge Network Optimization Problem -- 15.5 Conclusion -- References -- 16 Regression Analysis on Synthesis of Biodiesel from Rice Bran Oil -- 16.1 Introduction -- 16.2 Materials and Equipment -- 16.2.1 Materials -- 16.2.2 Equipment -- 16.3 Biodiesel Production -- 16.3.1 Experimental Design -- 16.3.2 Steps Involved in Production of RBO Biodiesel -- 16.4 Regression Analysis -- 16.5 Results and Discussions -- 16.5.1 Physicochemical Properties of Biodiesel Feedstock -- 16.5.2 Design of Experiment (DOE) and Data Collection -- 16.5.3 Regression Analysis on Biodiesel Yields -- 16.5.4 Analysis of Variance (ANOVA) -- 16.5.5 Effect of Various Control Factors -- 16.6 Conclusion -- References -- 17 A Study on Vision-Based Human Activity Recognition Approaches -- 17.1 Introduction -- 17.2 Handcrafted Feature-Based HAR -- 17.2.1 Spatiotemporal Approaches. ; 17.2.2 Appearance-Based Approaches -- 17.3 Feature Learning-Based HAR -- 17.3.1 Traditional Learning -- 17.3.2 Deep Learning Architectures -- 17.4 HAR Datasets -- 17.5 Evaluation Metrics -- 17.6 Limitation of Existing HAR Systems -- 17.7 Challenges in HAR -- 17.8 Conclusion -- References -- 18 In-Store Monitoring of Harvested Tomatoes Using Internet of Things -- 18.1 Introduction -- 18.2 Related Work -- 18.2.1 Tracking System for Food and Grain Warehouse -- 18.2.2 Integrated Monitoring and Control System for Food Grain Wastage -- 18.2.3 Control and Monitoring System for Cold Storage Environments -- 18.2.4 The Use of IoT and Blockchain Technology to Monitor and Classify Crop Quality -- 18.2.5 Intelligent Warehousing Based on Machine Learning -- 18.2.6 A System that Protects Crops from Post-Harvest Damage Using IoT -- 18.2.7 Utilization of Cooling Technologies to Improve Vegetable Storage in Mali -- 18.2.8 A Comparison of ECC, ZEBC, and Pot-in-Pot Coolers for Storage Post-harvest -- 18.2.9 An Automated System for Controlling Cold Storage Remotely -- 18.3 Methodology -- 18.3.1 IoT-Enabled System Architecture -- 18.4 Experiment Results and Analysis -- 18.5 Conclusion -- References -- 19 A Compact Microstrip Hexagonal Patch Antenna with a Slotted Ground Plane for RF Energy Harvesting Applications -- 19.1 Introduction -- 19.2 Antenna Design -- 19.3 Results and Analysis -- 19.4 Conclusion -- References -- 20 Hierarchical Aadhaar-Based Anonymous eSign Based on Group Signatures -- 20.1 Introduction -- 20.2 Related Work -- 20.3 Preliminaries -- 20.3.1 eSign -- 20.3.2 Signature of Knowledge -- 20.3.3 Group Signature -- 20.4 Proposed Scheme -- 20.4.1 Architecture -- 20.4.2 System Initialization -- 20.4.3 Registration of Members (in First Level Group) -- 20.4.4 Signatures by Members (of First Level Group). ; 20.4.5 Signature Verification (of First Level Group Signer).
• Titolo autorizzato: Modeling, Simulation and Optimization
• ISBN: 981-9968-66-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910838272303321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Innovation, Systems and Technologies Series