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Submit a ProposalHandbook of Computational Sciences
 | A Multi and Interdisciplinary Approach Edited by Ahmed A. Elngar, Vigneshwar. M., Krishna Kant Singh and Zdzislaw Polkowski Copyright: 2023 | Status: Published ISBN: 978119760467 | Hardcover | 410 pages Price: $225 USD  |
One Line Description
The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.
Audience
Because of the book’s multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.
Because of the book’s multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.
Description
This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas.
The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more.
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This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas.
The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more.
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Author / Editor Details
Ahmed Elngar, PhD, is the founder and head of Scientific Innovation Research Group (SIRG) and assistant professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University, Egypt.
Ahmed Elngar, PhD, is the founder and head of Scientific Innovation Research Group (SIRG) and assistant professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University, Egypt.
Vigneshwar. M., is head of R & D and Academic Initiatives, Cybase Technologies, Coimbatore, Tamil Nadu, India. He has around 9 years in industry & research and 8 years in academia. He has an M.E., degree in computer science and engineering, and has published more than 110 international/national conference and journal publications as well as numerous awards.
Krishna Kant Singh, PhD, is a professor in the Department of CSE, ASET, Amity University, Noida, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 100 technical books and research papers in international conferences and SCIE journals.
Zdzislaw Polkowski, PhD, is a professor in the Faculty of Technical Sciences, Jan Wyzykowski University, Polkowice, Poland. He has published more than 75 research articles in peer-reviewed journals.
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Table of Contents
Preface
1. A Sensor-Based Automated Irrigation System for Indian Agricultural Fields
I.S. Akila and Ahmed A. Elngar
1.1 Introduction
1.2 Literary Survey
1.3 Proposed System
1.3.1 System Architecture
1.3.2 Flow of Automated Irrigation
1.3.3 Interfacing Sensors
1.3.4 Physical Characteristics Determination Using Image Processing
1.3.4.1 Fractal Dimension Estimation
1.3.4.2 Box-Counting Method
1.3.4.3 Physical Parameters
1.4 Performance Studies
1.4.1 Experimental Environment
1.4.2 Accessing Shared Variables from NI Data Dashboard
1.4.2.1 Scenario 1
1.4.2.2 Scenario 2
1.4.2.3 Scenario 3
1.4.2.4 Scenario 4
1.5 Image Processing to Determine Physical Characteristics
1.6 Conclusion and Future Enhancements
1.6.1 Conclusion
1.6.2 Future Scope
References
2. An Enhanced Integrated Image Mining Approach to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
Sridevy S., Anna Saro Vijendran and Ahmed A. Elngar
2.1 Introduction
2.2 Related Work
2.3 Motivation
2.4 Framework of Enhanced Integrated Image Mining Approaches to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
2.5 Algorithm – Enhanced Integrated Image Mining Approaches to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
2.6 Conclusion
References
3. Collaborative Filtering Skyline (CFS) for Enhanced Recommender Systems
Shobana G. and Ahmed A. Elngar
3.1 Introduction and Objective
3.1.1 Objective
3.2 Motivation
3.3 Literature Survey
3.4 System Analysis and Existing Systems
3.4.1 Drawbacks
3.5 Proposed System
3.5.1 Feasibility Study
3.5.2 Economic Feasibility
3.5.3 Operational Feasibility
3.5.4 Technical Feasibility
3.5.5 Problem Definition and Project Overview
3.5.6 Overview of the Project
3.5.7 Exact Skyline Computation
3.5.8 Approximate Skyline Computation
3.5.9 Module Description
3.5.9.1 Modules
3.5.10 Data Flow Diagram
3.5.10.1 External Entity (Source/Sink)
3.5.10.2 Process
3.5.10.3 Data Flow
3.5.10.4 Data Store
3.5.11 Rules Used For Constructing a DFD
3.5.12 Basic DFD Notation
3.5.13 Profiles
3.5.14 Uploaded My Videos
3.5.15 Rating My Videos
3.6 System Implementation
3.6.1 Implementation Procedures
3.6.1.1 User Training
3.6.1.2 User Manual
3.6.1.3 System Maintenance
3.6.1.4 Corrective Maintenance
3.6.1.5 Adaptive Maintenance
3.6.1.6 Perceptive Maintenance
3.6.1.7 Preventive Maintenance
3.7 Conclusion and Future Enhancements
3.7.1 Conclusion
3.7.2 Enhancements
References
4. Automatic Retinopathic Diabetic Detection: Data Analyses, Approaches and Assessment Measures Using Deep Learning
Rinesh S., Mahdi Ismael Omar, Thamaraiselvi K., V. Karthick and Vigneshwar Manoharan
4.1 Introduction
4.2 Related Work
4.3 Initial Steps and Experimental Environment
4.3.1 Analyzing the Principle Components
4.3.2 Firefly Algorithm
4.4 Experimental Environment
4.5 Data and Knowledge Sources
4.6 Data Preparation
4.7 CNN’s Integrated Design
4.8 Preparing Retinal Image Data
4.9 Performance Evaluation
4.10 Metrics
4.11 Investigation of Tests
4.12 Discussion
4.13 Results and Discussion
4.14 Conclusions
References
5. Design and Implementation of Smart Parking Management System Based on License Plate Detection
Pallavi S. Bangare, Sanjana Naik, Shashwati Behare, Akanksha Swami, Jayesh Gaikwad, Sunil L. Bangare, G. Pradeepini and Ahmed A. Elngar
5.1 Introduction
5.2 Literature Survey
5.2.1 Cloud-Based Smart-Parking System Based on Internet-of Things/Technologies
5.2.2 A Cloud-Based Intelligent Car Parking System
5.2.3 Research and Implement of the Intelligent Parking Reservation Management System Based on ZigBee Technology
5.2.4 Zigbee and GSM-Based Secure Vehicle Parking Management and Reservation System
5.2.5 Car Park Management with Networked Wireless Sensors and Active RFID
5.2.6 Automated Parking System with Bluetooth Access
5.2.7 Smart Parking: A Secure and Intelligent Parking System
5.3 Proposed System
5.3.1 Methodology
5.3.2 Vehicle Number Plate Recognition Technique
5.4 High Level Design of Proposed System
5.4.1 Data Flow Diagram
5.4.2 UML Diagrams
5.5 Project Requirement Specification
5.5.1 Software Requirements
5.5.2 Hardware Requirements
5.6 Algorithms
5.7 Proposed System Results
5.8 Conclusion
References
6. A Novel Algorithm for Stationary Analysis of the Characteristics of the Queue-Dependent Random Probability for Co-Processor-Shared Memory Using Computational Sciences
Nandhini Varadharajan, Vigneshwar Manoharan, Rajadurai and Ahmed A. Elngar
6.1 Introduction - Processor-Shared Service Queue with Independent Service Rate Using Probability Queuing Theory
6.2 The Applications of Queuing Models in Processor-Shared Memory
6.3 The Basic Structure of Queuing Models
6.4 Characteristics of Queuing System
6.5 The Arrival Pattern of Customers
6.6 The Service Pattern of Servers Queue Discipline, System Capacity, and the Number of Servers
6.7 Kendall’s Notation
6.8 The Formation of Retrial Queues as a Solution
6.9 The Stationary Analysis of the Characteristics of the M/M/2 Queue with Constant Repeated Attempts
6.10 Computation of the Steady-State Probabilities
6.11 Application of Retrial Queues
6.12 Conclusion
References
7. Smart e-Learning System with IoT-Enabled for Personalized Assessment
Veeramanickam M.R.M., Visalatchi S. and Ahmed A. Elngar
7.1 Introduction
7.2 Literature Study
7.3 Architecture Model
7.4 Assessment Technique: CBR Algorithm
7.5 Implementation Modules: Project Outcome
7.5.1 Creating a Web Application
7.5.2 Integrating Raspberry Pi and Scribble Pad
7.5.3 Deploying Web App over Internet/FTP Server
7.5.4 Assessment Technique – Online Exam
7.6 Conclusion
References
8. Implementation of File Sharing System Using Li-Fi Based on Internet of Things (IoT)
Sunil L. Bangare, Shirin Siddiqui, Ayush Srivastava, Avinash Kumar, Pushkraj Bhagat, G. Pradeepini, S. T. Patil and Ahmed A. Elngar
8.1 Introduction
8.1.1 Motivation
8.1.2 Problem Statement
8.1.3 Background
8.2 Existing System/Related Work
8.2.1 SHARE It
8.2.2 Super Beam
8.2.3 Xender
8.3 Literature Survey
8.4 Proposed System
8.4.1 Input Data
8.4.2 Conversion to Binary Encoded Information
8.4.3 Led Driver
8.4.4 Photo Diode Receiver
8.5 Workflow
8.6 Proposed Solution
8.6.1 Hardware Setup
8.6.2 Transistor-Transistor Logic Serial Communication
8.6.3 Arduino Uno
8.7 Software Implementation
8.7.1 Video Transmission
8.7.2 Text/Text File Transmission
8.7.3 Audio Transmission
8.7.4 Image Transmission
8.8 Block Diagram – Indoor Navigation System Using Li-Fi
8.9 Implementation
8.10 Unicode Transmission
8.10.1 Receiver – Solar Panel
8.10.2 Text to Speech
8.11 Conclusion
References
9. Survey on Artificial Intelligence Techniques in the Diagnosis of Pleural Mesothelioma
Ushasukhanya S., S.S. Sridhar and Ahmed A. Elngar
9.1 Introduction
9.2 Methods
9.3 Analysis
9.4 Conclusion
References
10. Handwritten Character Recognition and Genetic Algorithms
Magesh Kasthuri and Vigneshwar Manoharan
10.1 Introduction
10.2 Recognition Framework for a Handwritten Character Recognition
10.3 Offline Character Recognition
10.4 Literature Review
10.5 Feature Extraction
10.6 Pattern Recognition
10.7 Noise Reduction
10.8 Segmentation
10.9 Pre-Processing
10.10 Hybrid Recognition
10.11 Applying Genetic Algorithm
10.12 Multilingual Characters
10.12.1 Multilingual Characters – Hindi
10.12.2 Multilingual Characters – Tamil Language
10.12.3 Multilingual Characters – Malayalam Language
10.12.4 Multilingual Characters – Telugu Language
10.12.5 Multilingual Characters – Kannada Language
10.12.6 Multilingual Characters – Egypt Language
10.12.7 Multilingual Characters – Polish Language
10.13 Results
References
11. An Intelligent Agent-Based Approach for COVID-19 Patient Distribution Management
Claudiu-Ionut Popirlan, Adriana Burlea Schiopoiu, Cristina Popirlan and Ahmed A. Elngar
11.1 Introduction
11.2 Intelligent Agent’s Architecture Proposal for COVID-19 Patient Distribution Management
11.2.1 A Clinical Scenario of COVID-19 Patient Distributed Management
11.2.2 Communication Management
11.3 Intelligent Agents Task Management
11.3.1 Intelligent Agents Cooperation Management
11.3.1.1 Establishing Commitments
11.3.1.2 Adaptive Management of Commitment Changes
11.4 Java Agent Development Framework
11.4.1 Software Implementation
11.4.2 Results Comparison
11.5 Conclusions
References
12. Computational Science Role in Medical and Healthcare-Related Approach
Pawan Whig, Arun Velu, Rahul Reddy Nadikattu and Yusuf Jibrin Alkali
12.1 Introduction
12.2 Background
12.3 Healthcare Nowadays
12.4 Healthcare Activities and Processes
12.5 Organization and Financial Aspects of Healthcare
12.6 Health Information Technology is Currently Being Used
12.7 Future Healthcare
12.8 Research Challenges
12.9 Modeling
12.10 Automation
12.11 Teamwork and Data Exchange
12.12 Scaled Data Management
12.13 Comprehensive Automated Recording of Exchanges Between Doctors and Patients
12.14 Johns Hopkins University: A Case Study
12.15 Case Study: Managing Patient Flow
12.16 Case Study: Using Electronic Health Records and Human Factors Engineering
12.17 Technology, Leadership, Culture, and Increased Learning are Necessary for the Spread of Systems Approaches
12.18 Conclusion
References
13. Impact of e-Business Services on Product Management
Sanchit Sarhadi and Priyadarshini Adyasha Pattanaik
13.1 Introduction
13.2 Literature Review
13.3 Data Collection and Method Details
13.4 Results
13.5 Conclusion
References
14. Analysis of Lakeshore Images Obtained from Unmanned Aerial Vehicles
Ivana Čermáková and Roman Danel
14.1 Introduction
14.2 Possibilities of Processing Images Acquired from Unmanned Aerial Vehicles
14.3 Defining Purpose, Location and Users of the Study
14.4 Suitable and Available Data and Vehicle
14.5 Usable Image Processing Methods
14.6 Invasive-Plant Detection
14.7 Evaluation and Interpretation of the Results
14.8 Analysis of Lakeshore – Koblov Lake
14.9 Area of Interest
14.10 Data Acquisition
14.11 Data Pre-Processing
14.12 Data Processing and Evaluation
14.13 Evaluation and Interpretation of the Results
14.14 Conclusion
References
15. Robotic Arm: Impact on Industrial and Domestic Applications
Nidhi Chahal, Ruchi Bisht, Arun Kumar Rana and Aryan Srivastava
15.1 Introduction
15.2 Circuit Diagram
15.3 Literature Survey
15.4 Operation of Robot
15.5 The Benefits of Industrial Robotic Arms
15.6 Component Details
15.7 Working of Robotic Arm
15.8 Intel Takes Robotic Arms to The Next Level
15.9 Robotic Arm Applications
15.10 Conclusion
References
16. Effects of Using VR on Computer Science Students’ Learning Behavior in Indonesia: An Experimental Study for TEFL
Muthmainnah, Ahmad Al Yakin, Luís Cardoso, Ahmed A. Elngar, Ibrahim Oteir and Abdullah Nijr Al-Otaibi
16.1 Introduction
16.2 VR as FUTELA
16.3 Using the Internet to Study and Learning Behavior
16.4 Methods
16.5 Research Participants
16.6 Techniques for Analyzing Data
16.7 The Indicator of Efficiency
16.8 Results and Discussion
16.9 Discussion
16.10 Conclusion
References
17. Satisfaction of Students Toward Media and Technology Innovation Amidst COVID-19
Muthmainnah, Ahmad Al Yakin, Saikat Gochhait, Andi Asrifan, Ahmed A. Elngar and Luís Cardoso
17.1 Introduction
17.2 Literature Review
17.2.1 Accelerating Digital Transformation in the Education Sector
17.2.2 Digital Media and Technology in English as a Foreign Language (EFL)
17.3 Methods
17.4 Results and Findings
17.5 Discussion
17.6 Conclusion
References
Index
Back to Top
Preface
1. A Sensor-Based Automated Irrigation System for Indian Agricultural Fields
I.S. Akila and Ahmed A. Elngar
1.1 Introduction
1.2 Literary Survey
1.3 Proposed System
1.3.1 System Architecture
1.3.2 Flow of Automated Irrigation
1.3.3 Interfacing Sensors
1.3.4 Physical Characteristics Determination Using Image Processing
1.3.4.1 Fractal Dimension Estimation
1.3.4.2 Box-Counting Method
1.3.4.3 Physical Parameters
1.4 Performance Studies
1.4.1 Experimental Environment
1.4.2 Accessing Shared Variables from NI Data Dashboard
1.4.2.1 Scenario 1
1.4.2.2 Scenario 2
1.4.2.3 Scenario 3
1.4.2.4 Scenario 4
1.5 Image Processing to Determine Physical Characteristics
1.6 Conclusion and Future Enhancements
1.6.1 Conclusion
1.6.2 Future Scope
References
2. An Enhanced Integrated Image Mining Approach to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
Sridevy S., Anna Saro Vijendran and Ahmed A. Elngar
2.1 Introduction
2.2 Related Work
2.3 Motivation
2.4 Framework of Enhanced Integrated Image Mining Approaches to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
2.5 Algorithm – Enhanced Integrated Image Mining Approaches to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
2.6 Conclusion
References
3. Collaborative Filtering Skyline (CFS) for Enhanced Recommender Systems
Shobana G. and Ahmed A. Elngar
3.1 Introduction and Objective
3.1.1 Objective
3.2 Motivation
3.3 Literature Survey
3.4 System Analysis and Existing Systems
3.4.1 Drawbacks
3.5 Proposed System
3.5.1 Feasibility Study
3.5.2 Economic Feasibility
3.5.3 Operational Feasibility
3.5.4 Technical Feasibility
3.5.5 Problem Definition and Project Overview
3.5.6 Overview of the Project
3.5.7 Exact Skyline Computation
3.5.8 Approximate Skyline Computation
3.5.9 Module Description
3.5.9.1 Modules
3.5.10 Data Flow Diagram
3.5.10.1 External Entity (Source/Sink)
3.5.10.2 Process
3.5.10.3 Data Flow
3.5.10.4 Data Store
3.5.11 Rules Used For Constructing a DFD
3.5.12 Basic DFD Notation
3.5.13 Profiles
3.5.14 Uploaded My Videos
3.5.15 Rating My Videos
3.6 System Implementation
3.6.1 Implementation Procedures
3.6.1.1 User Training
3.6.1.2 User Manual
3.6.1.3 System Maintenance
3.6.1.4 Corrective Maintenance
3.6.1.5 Adaptive Maintenance
3.6.1.6 Perceptive Maintenance
3.6.1.7 Preventive Maintenance
3.7 Conclusion and Future Enhancements
3.7.1 Conclusion
3.7.2 Enhancements
References
4. Automatic Retinopathic Diabetic Detection: Data Analyses, Approaches and Assessment Measures Using Deep Learning
Rinesh S., Mahdi Ismael Omar, Thamaraiselvi K., V. Karthick and Vigneshwar Manoharan
4.1 Introduction
4.2 Related Work
4.3 Initial Steps and Experimental Environment
4.3.1 Analyzing the Principle Components
4.3.2 Firefly Algorithm
4.4 Experimental Environment
4.5 Data and Knowledge Sources
4.6 Data Preparation
4.7 CNN’s Integrated Design
4.8 Preparing Retinal Image Data
4.9 Performance Evaluation
4.10 Metrics
4.11 Investigation of Tests
4.12 Discussion
4.13 Results and Discussion
4.14 Conclusions
References
5. Design and Implementation of Smart Parking Management System Based on License Plate Detection
Pallavi S. Bangare, Sanjana Naik, Shashwati Behare, Akanksha Swami, Jayesh Gaikwad, Sunil L. Bangare, G. Pradeepini and Ahmed A. Elngar
5.1 Introduction
5.2 Literature Survey
5.2.1 Cloud-Based Smart-Parking System Based on Internet-of Things/Technologies
5.2.2 A Cloud-Based Intelligent Car Parking System
5.2.3 Research and Implement of the Intelligent Parking Reservation Management System Based on ZigBee Technology
5.2.4 Zigbee and GSM-Based Secure Vehicle Parking Management and Reservation System
5.2.5 Car Park Management with Networked Wireless Sensors and Active RFID
5.2.6 Automated Parking System with Bluetooth Access
5.2.7 Smart Parking: A Secure and Intelligent Parking System
5.3 Proposed System
5.3.1 Methodology
5.3.2 Vehicle Number Plate Recognition Technique
5.4 High Level Design of Proposed System
5.4.1 Data Flow Diagram
5.4.2 UML Diagrams
5.5 Project Requirement Specification
5.5.1 Software Requirements
5.5.2 Hardware Requirements
5.6 Algorithms
5.7 Proposed System Results
5.8 Conclusion
References
6. A Novel Algorithm for Stationary Analysis of the Characteristics of the Queue-Dependent Random Probability for Co-Processor-Shared Memory Using Computational Sciences
Nandhini Varadharajan, Vigneshwar Manoharan, Rajadurai and Ahmed A. Elngar
6.1 Introduction - Processor-Shared Service Queue with Independent Service Rate Using Probability Queuing Theory
6.2 The Applications of Queuing Models in Processor-Shared Memory
6.3 The Basic Structure of Queuing Models
6.4 Characteristics of Queuing System
6.5 The Arrival Pattern of Customers
6.6 The Service Pattern of Servers Queue Discipline, System Capacity, and the Number of Servers
6.7 Kendall’s Notation
6.8 The Formation of Retrial Queues as a Solution
6.9 The Stationary Analysis of the Characteristics of the M/M/2 Queue with Constant Repeated Attempts
6.10 Computation of the Steady-State Probabilities
6.11 Application of Retrial Queues
6.12 Conclusion
References
7. Smart e-Learning System with IoT-Enabled for Personalized Assessment
Veeramanickam M.R.M., Visalatchi S. and Ahmed A. Elngar
7.1 Introduction
7.2 Literature Study
7.3 Architecture Model
7.4 Assessment Technique: CBR Algorithm
7.5 Implementation Modules: Project Outcome
7.5.1 Creating a Web Application
7.5.2 Integrating Raspberry Pi and Scribble Pad
7.5.3 Deploying Web App over Internet/FTP Server
7.5.4 Assessment Technique – Online Exam
7.6 Conclusion
References
8. Implementation of File Sharing System Using Li-Fi Based on Internet of Things (IoT)
Sunil L. Bangare, Shirin Siddiqui, Ayush Srivastava, Avinash Kumar, Pushkraj Bhagat, G. Pradeepini, S. T. Patil and Ahmed A. Elngar
8.1 Introduction
8.1.1 Motivation
8.1.2 Problem Statement
8.1.3 Background
8.2 Existing System/Related Work
8.2.1 SHARE It
8.2.2 Super Beam
8.2.3 Xender
8.3 Literature Survey
8.4 Proposed System
8.4.1 Input Data
8.4.2 Conversion to Binary Encoded Information
8.4.3 Led Driver
8.4.4 Photo Diode Receiver
8.5 Workflow
8.6 Proposed Solution
8.6.1 Hardware Setup
8.6.2 Transistor-Transistor Logic Serial Communication
8.6.3 Arduino Uno
8.7 Software Implementation
8.7.1 Video Transmission
8.7.2 Text/Text File Transmission
8.7.3 Audio Transmission
8.7.4 Image Transmission
8.8 Block Diagram – Indoor Navigation System Using Li-Fi
8.9 Implementation
8.10 Unicode Transmission
8.10.1 Receiver – Solar Panel
8.10.2 Text to Speech
8.11 Conclusion
References
9. Survey on Artificial Intelligence Techniques in the Diagnosis of Pleural Mesothelioma
Ushasukhanya S., S.S. Sridhar and Ahmed A. Elngar
9.1 Introduction
9.2 Methods
9.3 Analysis
9.4 Conclusion
References
10. Handwritten Character Recognition and Genetic Algorithms
Magesh Kasthuri and Vigneshwar Manoharan
10.1 Introduction
10.2 Recognition Framework for a Handwritten Character Recognition
10.3 Offline Character Recognition
10.4 Literature Review
10.5 Feature Extraction
10.6 Pattern Recognition
10.7 Noise Reduction
10.8 Segmentation
10.9 Pre-Processing
10.10 Hybrid Recognition
10.11 Applying Genetic Algorithm
10.12 Multilingual Characters
10.12.1 Multilingual Characters – Hindi
10.12.2 Multilingual Characters – Tamil Language
10.12.3 Multilingual Characters – Malayalam Language
10.12.4 Multilingual Characters – Telugu Language
10.12.5 Multilingual Characters – Kannada Language
10.12.6 Multilingual Characters – Egypt Language
10.12.7 Multilingual Characters – Polish Language
10.13 Results
References
11. An Intelligent Agent-Based Approach for COVID-19 Patient Distribution Management
Claudiu-Ionut Popirlan, Adriana Burlea Schiopoiu, Cristina Popirlan and Ahmed A. Elngar
11.1 Introduction
11.2 Intelligent Agent’s Architecture Proposal for COVID-19 Patient Distribution Management
11.2.1 A Clinical Scenario of COVID-19 Patient Distributed Management
11.2.2 Communication Management
11.3 Intelligent Agents Task Management
11.3.1 Intelligent Agents Cooperation Management
11.3.1.1 Establishing Commitments
11.3.1.2 Adaptive Management of Commitment Changes
11.4 Java Agent Development Framework
11.4.1 Software Implementation
11.4.2 Results Comparison
11.5 Conclusions
References
12. Computational Science Role in Medical and Healthcare-Related Approach
Pawan Whig, Arun Velu, Rahul Reddy Nadikattu and Yusuf Jibrin Alkali
12.1 Introduction
12.2 Background
12.3 Healthcare Nowadays
12.4 Healthcare Activities and Processes
12.5 Organization and Financial Aspects of Healthcare
12.6 Health Information Technology is Currently Being Used
12.7 Future Healthcare
12.8 Research Challenges
12.9 Modeling
12.10 Automation
12.11 Teamwork and Data Exchange
12.12 Scaled Data Management
12.13 Comprehensive Automated Recording of Exchanges Between Doctors and Patients
12.14 Johns Hopkins University: A Case Study
12.15 Case Study: Managing Patient Flow
12.16 Case Study: Using Electronic Health Records and Human Factors Engineering
12.17 Technology, Leadership, Culture, and Increased Learning are Necessary for the Spread of Systems Approaches
12.18 Conclusion
References
13. Impact of e-Business Services on Product Management
Sanchit Sarhadi and Priyadarshini Adyasha Pattanaik
13.1 Introduction
13.2 Literature Review
13.3 Data Collection and Method Details
13.4 Results
13.5 Conclusion
References
14. Analysis of Lakeshore Images Obtained from Unmanned Aerial Vehicles
Ivana Čermáková and Roman Danel
14.1 Introduction
14.2 Possibilities of Processing Images Acquired from Unmanned Aerial Vehicles
14.3 Defining Purpose, Location and Users of the Study
14.4 Suitable and Available Data and Vehicle
14.5 Usable Image Processing Methods
14.6 Invasive-Plant Detection
14.7 Evaluation and Interpretation of the Results
14.8 Analysis of Lakeshore – Koblov Lake
14.9 Area of Interest
14.10 Data Acquisition
14.11 Data Pre-Processing
14.12 Data Processing and Evaluation
14.13 Evaluation and Interpretation of the Results
14.14 Conclusion
References
15. Robotic Arm: Impact on Industrial and Domestic Applications
Nidhi Chahal, Ruchi Bisht, Arun Kumar Rana and Aryan Srivastava
15.1 Introduction
15.2 Circuit Diagram
15.3 Literature Survey
15.4 Operation of Robot
15.5 The Benefits of Industrial Robotic Arms
15.6 Component Details
15.7 Working of Robotic Arm
15.8 Intel Takes Robotic Arms to The Next Level
15.9 Robotic Arm Applications
15.10 Conclusion
References
16. Effects of Using VR on Computer Science Students’ Learning Behavior in Indonesia: An Experimental Study for TEFL
Muthmainnah, Ahmad Al Yakin, Luís Cardoso, Ahmed A. Elngar, Ibrahim Oteir and Abdullah Nijr Al-Otaibi
16.1 Introduction
16.2 VR as FUTELA
16.3 Using the Internet to Study and Learning Behavior
16.4 Methods
16.5 Research Participants
16.6 Techniques for Analyzing Data
16.7 The Indicator of Efficiency
16.8 Results and Discussion
16.9 Discussion
16.10 Conclusion
References
17. Satisfaction of Students Toward Media and Technology Innovation Amidst COVID-19
Muthmainnah, Ahmad Al Yakin, Saikat Gochhait, Andi Asrifan, Ahmed A. Elngar and Luís Cardoso
17.1 Introduction
17.2 Literature Review
17.2.1 Accelerating Digital Transformation in the Education Sector
17.2.2 Digital Media and Technology in English as a Foreign Language (EFL)
17.3 Methods
17.4 Results and Findings
17.5 Discussion
17.6 Conclusion
References
Index
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