Anmerkung: Intro -- Preface -- Contents -- Laboratory Astrophysics and Scaling -- Rob Coker -- Introduction -- The Concept of Scaling -- Experimental Facilities -- Detailed Example and a Challenge -- Summary -- References -- Laboratory Studies of Astrophysical Jets -- Andrea Ciardi -- Introduction -- Plasma Conditions in z-Pinch and Laser Experiments -- Relating Laboratory and Astrophysical Phenomena -- Young Stellar Jets from z-Pinch Machines -- Summary -- References -- Output from MHD Models -- Nektarios Vlahakis -- Steady, Axisymmetric, Nonrelativistic, Magnetized Outflows -- Relativistic MHD -- Conclusion -- Appendix: Alfvén and Magnetosonic MHD Waves -- References -- Coronal Heating -- Alan William Hood -- The Sun -- The Energy Budget -- Observed Coronal Phenomena -- Alternative Heating Observations -- MHD Equations -- Wave Heating Mechanisms -- Magnetic Reconnection Theory: Two Dimensions -- Magnetic Reconnection Theory: Three Dimensions -- Applications to the Solar Corona -- Plasma Response to Nanoflare Heating -- Summary -- References -- Flows in Molecular Media -- David Flower -- Introduction -- The MHD Conservation Equations -- The Structure of Interstellar Shock Waves -- Shock Waves in Dark Clouds -- Shock Waves in the Presence of an Ultraviolet Radiation Field -- Diagnostics of Shock Waves: The H2 Excitation Diagram -- References -- The Ionisation and Excitation State of Stellar Outflows -- A.C. Raga -- Introduction -- The Gas dynamic Equations -- The Ionisation State of the Gas -- The Cooling Function -- Recipes for Calculating the Cooling Function -- Calculation of the Emitted Spectrum -- Summary -- References -- Deriving Physical Diagnostics from Observations -- C. Dougados, F. Bacciotti, S. Cabrit, and B. Nisini -- Introduction -- Model-Independent Diagnostics of Plasma Excitation Conditions. , Deriving Excitation Conditions from Shock Diagnostics -- Derivation of Mass-Loss Rates -- Projection and Convolution Effects -- References -- Index.

Anmerkung: Intro -- Preface -- IBICA - WICT Organization -- General Chairs -- Program Chairs -- Publication Chairs -- Special Sessions Chairs -- Publicity Chairs -- International Publicity Team -- Program Committee -- Contents -- I Bio-inspired Computing and Applications -- BIC Algorithm for Heineken Brand Awareness in Vietnam Market -- 1 Introduction -- 2 Literature Review -- 2.1 Brand Awareness (BAW) -- 2.2 Perceived Quality (PQ) -- 2.3 Loyalty (LOY) -- 2.4 Brand Image (BI) -- 2.5 Brand Association (BA) -- 2.6 Price (PE) -- 3 Methodology -- 4 Results -- 4.1 Reliability Test -- 4.2 BIC Deep Learning Algorithm -- 4.3 Model Evaluation -- 5 Conclusions -- References -- Comparison of Ant Colony Optimization Algorithms for Small-Sized Travelling Salesman Problems -- 1 Introduction -- 2 Research Problem and Method -- 3 Literature Review and Suggested Method -- 3.1 Travelling Salesman Problem -- 3.2 Ant Colony Optimization -- 3.3 Improved Ant Colony Optimization -- 3.4 Our Improved Ant Colony Optimization -- 4 Results -- 4.1 Results of IACO with Seven Cities -- 4.2 Results of IACO with 16 Cities -- 4.3 Results of IACO with 26 Cities -- 4.4 Comparison of ACO and IACO -- 5 Conclusions -- References -- Tamilnadu Omnibus Travels Evaluation Using TOPSIS and Fuzzy TOPSIS Methods -- 1 Introduction -- 2 Literature Support -- 3 Research Methods -- 4 Case Problem - Chennai, Tamilnadu, Southern India -- 4.1 Application of TOPSIS Method -- 5 Results of the TOPSIS, FTOPSIS Technique -- 6 Conclusion -- References -- A Hybrid Feature Extraction Method Using SeaLion Optimization for Meningioma Detection from MRI Brain Image -- 1 Introduction -- 1.1 Key Objectives -- 2 Proposed Methodology -- 2.1 Input Data -- 2.2 Preprocessing -- 2.3 Segmentation -- 2.4 Feature Extraction -- 2.5 Optimization Using SLnO -- 2.6 CNN Based Classification -- 3 Experimental Results -- 4 Conclusions. , References -- An Effective Integrity Verification Scheme for Ensuring Data Integrity in Cloud Computing -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Proposed Work and Algorithms -- 3.2 Evaluation Parameters -- 4 Results -- 4.1 Generating Shares of Large 1 MB Text File (SSS-Poly1305) -- 4.2 Splitting Shares (SSS-Poly1305) -- 4.3 Distributing Shares Among Clients -- 4.4 Receiving Shares from Clients and Combining (SSS-Poly1305) -- 4.5 Timing Analysis of SSS-AES -- 4.6 Evaluating SSS-Poly1305 for Short and Long Messages -- 4.7 Entropy of Short, Long and Large Text File -- 5 Conclusion and Future Scope -- References -- A Survey on Arrhythmia Disease Detection Using Deep Learning Methods -- 1 Introduction -- 2 Key Contributions -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Pre-processing -- 3.3 Feature Extraction and Feature Selection -- 3.4 Classification -- 4 Performance Evaluation -- 5 Conclusion -- References -- Comparison of Different Machine Learning Methods to Detect Fake News -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 4 Methodologies -- 5 Comparative Study -- 6 Conclusion -- References -- A Tool for Air Cargo Planning and Distribution -- 1 Introduction -- 2 Literature Review -- 2.1 Air Cargo Transport -- 2.2 Cargo Allocation Problems in Air Transport -- 2.3 Models for Planning and Load Allocation Problems -- 3 Problem Description -- 4 Mathematical Formulation -- 5 Problem Solving Method -- 6 Case Study -- 7 Conclusion -- References -- A Markov Model for Improving the Performance of COVID-19 Contact Tracing App -- 1 Introduction -- 2 ZigZag Decoding Mechanism -- 3 Problem Statement -- 4 Problem Formulation -- 5 Performance Metrics -- 5.1 Performance Parameters for New Packets -- 5.2 Performance Parameters for Old Packets -- 6 Numerical Results -- 7 Limitations -- 8 Conclusion and Perspectives -- References. , NLP and Logic Reasoning for Fully Automating Test -- 1 Introduction -- 2 Proposed Framework for Test Automating -- 2.1 Submitted Standard Model -- 2.2 NLP and ML Hybridization for the Extraction of Relevant Information -- 2.3 Identification of Automated Test Cases -- 3 Results and Discussion -- 3.1 Dataset and Parameter Setting -- 3.2 Evaluation and Comparison Methods -- 3.3 NLP and ML Hybridization for the Extraction of Relevant Information Results -- 3.4 Identification of Automated Test Cases Results -- 4 Conclusion -- References -- A Comparative Study of Three LoRa Collision Resolution Schemes: A Markov Model-Based Approach -- 1 Introduction -- 2 Related Work -- 3 Model Assumptions -- 4 Team Problem -- 4.1 Scheme 1: Capture Effect -- 4.2 Scheme 2: Signatures Codes -- 4.3 Scheme 3: ZigZag Decoding -- 5 Performance Metrics -- 5.1 Performance Measures for Unbacklogged Packets -- 5.2 Performance Measures for Backlogged Packets -- 5.3 Optimization Problem -- 6 Numerical Results -- 7 Conclusion and Perspectives -- References -- Production Scheduling Using Multi-objective Optimization and Cluster Approaches -- 1 Introduction -- 2 Production Scheduling Performance Measures -- 3 Methodology -- 4 Conceptualization and Mathematical Model -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Data Prediction Model in Wireless Sensor Networks: A Machine Learning Approach -- 1 Introduction -- 2 Machine Learning Model Based on Data Prediction Method (MLM-DPM) -- 3 Implementation of Machine learning Model based Data Prediction Method (MLM-DPM) -- 3.1 Training of MLM-DPM -- 3.2 Data Prediction and Model Corrections -- 4 Simulation Results -- 4.1 Simulation Setup -- 4.2 Transmission Suppression% -- 4.3 Energy Efficiency -- 4.4 Cost Factor -- 5 Conclusion -- References. , A Study of Version Control System in Software Development Management Concerning PLC Environments -- 1 Introduction -- 2 Contextualization of Programmable Logic Controller -- 3 Version Control System Approach -- 3.1 Study Target of the VCS Tool - Apache Subversion -- 3.2 Optimal VCS for Programmable Logic Controllers and Robotics -- 4 Conclusion -- References -- REGION: Relevant Entropy Graph spatIO-temporal convolutional Network for Pedestrian Trajectory Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experiments -- 5 Conclusions -- References -- An Analysis of Multipath TCP for Improving Network Performance -- 1 Introduction -- 1.1 Multipath TCP Protocol -- 1.2 Congestion Control in Multipath TCP -- 2 Related Study -- 3 Proposed System -- 3.1 Problem Scenario -- 3.2 Objectives -- 3.3 Methodology -- 4 Simulation and Results -- 4.1 Simulation Arrangement -- 4.2 Result Discussion -- 5 Conclusion -- References -- Improving 3D Plankton Image Classification with C3D2 Architecture and Context Metadata -- 1 Introduction -- 2 Related Work -- 3 TARA Oceans Dataset -- 3.1 Image Data Analysis -- 3.2 Metadata Analysis -- 4 Automated Classifications -- 4.1 CNN Models -- 4.2 Metadata Interaction -- 4.3 Network Training -- 5 Experimental Analysis -- 6 Conclusion -- References -- Livestock Application: Naïve Bayes for Diseases Forecast in a Bovine Production Application -- 1 Introduction -- 2 CRIPS-DM Methods for Data Mining -- 2.1 Machine Learning -- 3 Development: Implementation of CRISP-DM -- 3.1 Business Understanding -- 3.2 Data Understanding -- 3.3 Data Preparation -- 3.4 Modeling -- 3.5 Evaluation -- 4 Conclusion -- References -- Development of a Workstation Assessment APP, Integrating Performance with the Worker's Health and Well-Being -- 1 Introduction -- 2 Literature Review -- 2.1 Assessment Audits Based on Lean Tools. , 2.2 Ergonomics, Health and Safety -- 3 Modelling -- 4 Computational Implementation -- 5 Conclusion -- References -- Deep Learning for Big Data -- 1 Introduction -- 2 Big Data -- 3 Deep Learning -- 4 Methodology -- 4.1 Overview -- 4.2 Materials and Tools -- 4.3 Development -- 5 Model Evaluation -- 5.1 Training Phase -- 5.2 Test Phase -- 5.3 Simulation Phase -- 6 Conclusions and Future Work -- References -- A Review on MOEA and Metaheuristics for Feature-Selection -- 1 Introduction -- 2 Multi-Objective Evolutionary Algorithms -- 2.1 Definition -- 2.2 Types of Algorithms -- 3 MOEA Based Feature Selection -- 4 Metaheuristics Based Feature Selection -- 5 Discussion -- 6 Conclusion -- References -- Detection and Classification of Age-Related Macular Degeneration Using Integration of DenseNet169 and Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Pre-processing -- 3.3 Feature Extraction -- 3.4 Feature Selection and Feature Optimization -- 3.5 Classification -- 4 Experimental Results -- 5 Conclusions -- References -- An Augmented Lagrangian Artificial Bee Colony with Deterministic Variable Selection for Constrained Optimization -- 1 Introduction -- 2 Artificial Bee Colony -- 2.1 Employed Bees Cycle -- 2.2 Onlooker Bees Phase -- 2.3 Scout Bees Phase -- 3 Adaptive Variable Decision Matrix Procedure -- 4 Augmented Lagrangian Penalty Method -- 5 Adapted A-DVM Using Augmented Lagrangian Penalty for Constrained Optimization Problems -- 6 Experiment and Results -- 7 Conclusion -- References -- Remote Monitor System for Alzheimer Disease -- 1 Introduction -- 2 Literature Review -- 3 Methods and Materials -- 3.1 Data Collected -- 3.2 Big Data Analytics and Machine Learning -- 3.3 Decision Support and Visualization -- 4 Conclusions -- References. , Detection of Social Distance and Intimation System for Covid-19.

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