Software Engineering Methods in Systems and Network Systems: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 1 (Lecture Notes in Networks and Systems, 909)

✍ Scribed by Radek Silhavy (editor), Petr Silhavy (editor)

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 475
• Edition: 1st ed. 2024
• Category: Library

✦ Synopsis

This book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.

✦ Table of Contents

Preface
Organization
Contents
An Artificial Intelligence-Based Concept and Survey for Personalized Learning in Schools in the Republic of Bulgaria
1 Introduction
2 Artificial Intelligence and Personalized Education
3 Online-Based Teaching Platforms in Bulgaria as Sources of Educational Content
4 Results from a Survey on Using Artificial Intelligence for Personalized Education
5 Conclusion
References
Correlation Analysis and Predictive Factors for Building a Mathematical Model
1 Introduction
2 Data Research
3 Conclusion
References
Orca Predator Algorithm for Feature Selection
1 Introduction
2 Feature Selections
3 Orca Predation Algorithm
3.1 Adapatación de OPA
4 Computational Experiments
5 Conclusion
References
Skeleton Detection Using MediaPipe as a Tool for Musculoskeletal Disorders Analysis
1 Introduction
1.1 Medical Background
2 Materials and Methods: Principles and Technologies of Human Skeleton Detection
2.1 Traditional Approaches for Human Pose Estimation
2.2 Deep Learning Approaches for Human Pose Estimation
2.3 MediaPipe: A Comprehensive Machine Learning Framework
2.4 Skeleton Detection Principles in MediaPipe
2.5 MediaPipe Analysis: Strengths and Weaknesses
2.6 MediaPipe Compatibility: Platforms and Languages
3 Results
4 Conclusion
4.1 Future Work
References
Model Design Research Plan for Warehouse Barcode Image Recognition in Smart Systems
1 Introduction
2 Methodology
3 Results
3.1 Research Plan for Barcode Image Recognition
3.2 Process Architecture Plan for Image Recognition
3.3 Methodological Design for Neural Network Model Research
3.4 Framework Schedule
3.5 Dataset Creation Plan Using the Selected Annotation Tool
4 Conclusion
References
Robust H Controller Design for Satellite Systems with Uncertain Inertia Matrix: A Linear Matrix Inequality Approach
1 Introduction
2 Formulation for Satellite Systems and Design
2.1 Satellite Modelling
2.2 H Control Law Based on LMI
3 Simulation Result
4 Conclusion
References
Pipeline Leakage Detection via Extreme Seeking Entropy
1 Introduction
2 Methods
2.1 Adaptive Filter
2.2 Extreme Seeking Entropy Algorithm
2.3 Experiment Description
3 Results
4 Conclusion
References
Holographic Discs-Volumetric Media and Quality Data Storage Media
1 Introduction
2 Recording/Reading Discs
3 Mathematical Model for Holographic Disk Recording
4 Conclusion
References
Ensuring Operational Continuity and Safety in Refineries Through a Robust Emergency Shutdown System Design and Implementation
1 Introduction
2 Design Requirements
3 Logic Architecture
4 ESD Hardware Requirements
4.1 ESD Structure
4.2 System Cabinet
4.3 Marshalling Cabinets
4.4 Network Cabinets
4.5 CPU
5 ESD Logic Requirements - Software
5.1 Design Requirements
5.2 Program Structure
5.3 Voting and Deviation Alarms
6 Conclusion
References
Cyber-Physical Fire Detection and Recognition System with Smart Glasses
1 Introduction
2 Methods
2.1 Causes for Fire Occurrence
2.2 Smart Glasses Moverio BT-300
3 Implementation
3.1 Creating/Modifying a Dataset of Fire Images Samples for Training and Testing the Fire Localization and Detection Model Based on Artificial Intelligence
3.2 Develop a Model for Localization and Detection of Fire
3.3 Training and Evaluating the Model with the Dataset
3.4 Implementing the Trained Model in Android-Based Software
3.5 Fire Localization and Detection
3.6 Signalling for Fire Detection
4 Conclusions
References
Trends and Challenges in Surveillance - A Systematic Review of Camera Systems Implementing Artificial Intelligence
1 The Coexistence Between Surveillance and Artificial Intelligence
2 Camera Surveillance Using Machine Learning
3 Camera Surveillance Using Neural Networks
4 Trends and Challenges in AI Surveillance
5 Advantages of AI Surveillance
6 Conclusion
References
Usage of the Summary Model DELIS-CH for Starting the Design Process of an Educational Video Game for Cultural Heritage
1 Introduction
2 Application of the Summary Model DELIS-CH
3 Conceptual Design Model of the Content of the Educational Video Game for Boyana Church
4 Conclusion
References
User-Oriented Dashboard Design Process for the DIZU-EVG Instrument for Visualizing Results from Educational Video Games
1 Introduction
2 User-Oriented Requirements for the Design of the DIZU-EVG Instrument Dashboards
3 Core Functionalities and Models
4 Conclusion and Future Work
References
Heuristic Approaches to Delivering Cloud Resources at Minimal Cost in IT Infrastructure Management
1 Introduction
2 Heuristic Algorithms for Providing Cloud Resources with Minimum Cost
3 Experimental Results
4 Conclusion
References
Vocal Folds Image Segmentation Based on YOLO Network
1 Introduction
1.1 YOLOv8-Based Segmentation
2 Materials and Methods
3 Results
3.1 Model Validation
3.2 Implementation Specification
4 Conclusion
References
Knowledge Discovery Systems: An Overview
1 Introduction
2 Knowledge Discovery Systems
3 Decision Trees
4 Decision Tree Algorithms
5 Knowledge Discovery Systems’ Significant Role in a Data-Driven World
6 Discussion
7 Conclusion
References
Novel Radio Scheduling Framework for Optimal Energy Efficiency in Wireless Sensor Network
1 Introduction
2 Related Work
3 Problem Description
4 Proposed Methodology
5 System Design
5.1 Primary Radio Scheduling Approach
5.2 Secondary Radio Scheduling Approach
6 Results Discussion
7 Conclusion
References
A Novel Approach of Intrusion Detection System for IoT Against Modern Attacks Using Deep Learning
1 Introduction
2 Related Work
2.1 Problem Description
3 Proposed System
4 Dataset and Experiment
4.1 Dataset
4.2 Data preprocessing
5 Conclusion
References
Predictive Classification Framework for Software Demand Using Ensembled Machine Learning
1 Introduction
2 Related Work
3 Problem Description
4 Proposed Methodology
5 System Design Implementation
5.1 Formulating Research Challenge
5.2 Strategy Towards Implementation
5.3 Algorithm Design Implementation
6 Results Discussion
6.1 Accomplished Results
6.2 Discussion of Results
7 Conclusion
References
Secure Data Transmission Scheme in Wireless Sensor Network Resisting Unknown Lethal Threats
1 Introduction
2 Related Work
3 Problem Description
4 Proposed Methodology
5 System Implementation
5.1 Secured Data Forwarding Module (SDFM)
5.2 Unknown Threat Mitigation Module (UTMM)
6 Results Discussion
6.1 Communication-Based Analysis
6.2 Security-Based Analysis
7 Conclusion
References
An IoT-Based Cloud Data Platform with Real-Time Connecting Maritime Autonomous Surface Ships
1 Introduction
2 Related Work
2.1 Ship Automation System
2.2 Ship Data Platform
3 Design of Data Platform
3.1 IoT-Based Cloud Data Platform
3.2 Ship Collision Avoidance
3.3 Architecture of Onboard Edge
3.4 MQTT-Based Retransmission Method
4 Implementation and Simulation
4.1 Implementation with AWS Cloud Architecture
4.2 Simulation of Retransmission Method
5 Conclusion
References
Deep Learning-Based Tag Mapping Automation of Ship Data Models with Natural Language Processing
1 Introduction
2 Related Work
2.1 Tag Mapping Automation
2.2 Natural Language Processing
3 Dataset
4 Method
4.1 Tag Mapping Automation for Ship Data
4.2 Tag Mapping Automation Module
5 Experiments
5.1 Implementation Details
5.2 Experimental Results
5.3 Loss and Accuracy Trend Analysis
5.4 Trend Analysis of Training Time
6 Conclusion
References
Deep Reinforcement Learning-Based Task Offloading in Multi-access Edge Computing for Marine IoT
1 Introduction
2 Related Works
3 System Model
3.1 Communication Model
3.2 Computing Model
4 Problem Formulation
5 Performance Evaluation
6 Conclusion
References
Neural Network Development for Quality Analysis of ERP Systems
1 Introduction
2 Methods and Materials
3 Dataset Creation
4 Neural Network Training
4.1 Neural Network Reduction
4.2 Algorithm of Average L1 and L2 Regularization
5 Modelling
6 Conclusion
References
Designing an Algorithm for Recognizing the Kazakh-Latin Alphabet in an Image
1 Introduction
2 Implementation of the Convolutional Neural Network
3 Conclusion
References
Influence of TMDC Layers on the Optical Properties of Silicon Nanoparticles
1 Introduction
2 Methods
3 Results
4 Discussion
5 Conclusion
References
Flexible GaNP Nanowire-Based Platform: Optical Studies
1 Introduction
2 Methods
3 Results
4 Discussions
5 Conclusion
References
Transverse Kerker Effects in All-Dielectric Conical Nanoparticles
1 Introduction
2 Transverse Kerker Effects in Cone Silicon Particles
3 Conclusion
References
Generalized Kerker Effects in All-Dielectric Conical Nanoparticles
1 Introduction
2 Generalized Kerker Effects in Cone Silicon Particles
3 Conclusion
References
Ultrashort Pulse Generation in Spaser Through Nonlinear Regime
1 Introduction
2 Theory and Model
3 Simulation Results and Discussion
4 Conclusion
References
Numerical Solution of Mass Transfer Resistances Problem in an Electrolysis Process
1 Introduction
2 Process Modeling
2.1 Mathematical Model
2.2 Dimensional Equations
3 Results and Discussions
3.1 Steady State Solution
3.2 Steady State Solution
3.3 Discussion
4 Conclusions
References
Trust in Electronic Record Management System: Insights from Islamic-Based Professional and Moral Engagement-Based Digital Archive
1 Introduction
2 Literature Review
3 Analysis and Discussion
3.1 Enhancing Emerging Trust as Strategic Discipline for Electronic Records Management System (ERMS)
3.2 Empowering Professional and Ethical Balance for Digital-Based Recordkeeping Responsibilities in Electronic Records Management System (ERMS)
3.3 Strengthening Social and Personal Development on Professional and Ethical Balance in Electronic Records Management System (ERMS)
4 Implications and Future Directions
5 Conclusion
References
Digital Record Management in Islamic Education Institution: Current Trends on Enhancing Process and Effectiveness Through Learning Technology
1 Introduction
2 Literature Review
2.1 Digital Record Management in Islamic Education Sector
2.2 Professional and Moral Balance on Digital Record Management Process
3 Analysis and Discussion
3.1 Re-actualising Digital Record Management with Privacy and Security Concern
3.2 Re-empowering Professional and Moral Skills for Digital Record Management Responsibility
3.3 Committing Awareness on Quality and Reliability in Electronic Records Management System (ERMS)
3.4 Transmitting Records Quality Initiative into Organizational Culture
4 Implications and Future Directions
5 Future Directions
6 Conclusion
References
Integrating Machine Learning Algorithms with EEG Signals to Identify Emotions Among University Students
1 Introduction
2 Related Work
2.1 Introduction
2.2 Portable EEG Devices
2.3 Real-Time Emotion Analysis
2.4 Machine Learning Classification Algorithm
3 Experimental Study
3.1 Subjects
3.2 Environment and Data Collection
3.3 Data Compilation and Division
3.4 Acquiring the Emotion Labels
3.5 Proposed Deep Feedforward Neural Network Model
3.6 Proposed Machine Learning Models
4 Conclusion
References
Comparison of Game Development Framework and Model for Parkinson Disease Rehabilitation
1 Introduction
2 Existing Framework and Model for Rehabilitation Using Various Technologies
2.1 Introduction
2.2 Framework for Rehabilitation Using Wiimote
2.3 Framework for Gait-Based Recognition Using Kinect
2.4 Framework for Game-Based Cognitive Rehabilitation
2.5 Framework for Game Design for PD Patient and Patient with Stroke
2.6 Framework for Development of Serious Games for Motor Skills Rehabilitation
2.7 Architecture and Game Engine Framework for Serious Games in Health Rehabilitation
2.8 Framework for Serious Games as a Structural Class Diagram for Learning
2.9 Serious Game Design Assessment Framework
2.10 Findings
3 Matrix for Framework
3.1 Comparison
3.2 Document Analysis
4 Summary
References
Information and Communication Skills for Higher Learners Competence Model
1 Introduction
2 Literature Review
2.1 Soft Skill Definition
2.2 Communication Skills
2.3 Verbal Communication
2.4 Non-verbal Communication
2.5 Writing Communication
2.6 One Way Communication
2.7 Two Ways Communication
3 Methods
4 Analysis and Discussion
4.1 Ulul Albab QEI Profesional Module
4.2 Higher Learners Competent Models (HLCM)
5 Conclusion and Recommendation
References
Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
1 Introduction
2 Data Collection and Processing
3 Methodology
3.1 Machine Learning Algorithms
3.2 Method
4 Results
4.1 Partial Results of Document Analysis with Logistic Regression
4.2 Partial Result of Analysis with Multinomial Naive Bayes Algorithms
4.3 Partial Result of the Analysis with Bernoulli Algorithms
4.4 Analysis of Similarity in Tweets with Cosine Similarity
4.5 Analysis of Tweets with the Five Machine Learning Algorithms
5 Conclusion
References
Evaluation of Multiplatfom Component for Biometric Authentication in Low-Code Programming Platform – Case Study
1 Introduction
2 Native Implementations of the Biometric Authentication for Mobile Platforms
2.1 Implementing Biometric Authentication for Android
2.2 Implementing Biometric Authentication for iOS
3 Multiplatform Implementation of the Biometric Authentication in FMX/RAD Studio
3.1 Hiding the Secret According to the Application Life-Cycle
3.2 Tests in Real-Life Environment
4 Summary
References
Leveraging Machine Learning and Raspberry Pi for Enhanced Wildlife Remote Monitoring and Localization
1 Introduction
2 Related Work
3 Material and Method
3.1 Raspberry Pi
3.2 Image Dataset Acquisition
3.3 Object Detection Model (YOLOv5)
3.4 React JS Dashboard
3.5 Design and Implementation
4 Results Discussions
5 Conclusion and Recommendation
References
A Software Library for Managing Groups of Collector Motors in Robotics
1 Introduction
2 Problem Statement and the Proposed Solution
2.1 Practical Experiment
3 Conclusion
References
EdApp as a Tool to Intensify Foreign Language Professional Training in the Digitalization of the Educational Environment
1 Introduction
2 Methods
3 Results
4 Discussion
5 Conclusion
References
Virtual Reality as a Toolkit in the Professional Training of Students
1 Introduction
2 Related Works
3 Methodology. Materials and Methods
4 Results
5 Discussion
6 Conclusion
References
Methods for the Formation of an Automated Distribution of Pursuers in Group Pursuit
1 Introduction
2 Theory
2.1 Algorithms for Calculating the Next Step of the Pursuer and Estimating the Time the Pursuer Reaches the Goal
2.2 Formation of a Library of Control Vector Calculations
2.3 An Example of Applying Matrix Modeling to Group Pursuit
3 Conclusion
References
Author Index