Complex, Intelligent and Software Intensive Systems

Name: Complex, Intelligent and Software Intensive Systems | Proceedings of the 18th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2024)
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Proceedings of the 18th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2024)

Leonard Barolli(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 5. September 2024

XXVII, 514 Seiten

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978-3-031-70011-8 (ISBN)

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Inhalt

Intro
Welcome Message of CISIS-2024 International Conference Organizers
CISIS-2024 Organizing Committee
CISIS-2024 Keynote Talks
Integrating AI, Citizen-Science, Social-Media and Innovative Hardware Tech for Public Health
Application of Artificial Intelligence and Internet of Things for Building Smart Services
Contents
A Systematic Review of the External Influence Factors in Multifactor Analysis and the Prediction of Carbon Credit Prices
1 Background and Motivation
2 Systematic Review Protocol
3 Result and Discussion
4 Conclusion and Future Work
References
Stock Market Prediction Using Social Media Sentiments
1 Introduction
2 Related Work
3 Proposed Model
3.1 Data Collection
3.2 Data Pre-processing
3.3 Sentiment Analysis
3.4 Stock Movement Prediction
4 Simulation Results
5 Conclusion
References
Investigation of Location Problem in Logistics Centers Using ADMM Algorithm
1 Introduction
2 Modeling
2.1 Problem Description
2.2 Model Assumptions
2.3 Model Building
3 Algorithm Solving
3.1 ADMM Algorithm
3.2 Calculation Steps
4 Numerical Experiments
4.1 Data Simulation
4.2 Experimental Results
5 Conclusion
References
Stock Price Prediction Based on FinBERT-LSTM Model
1 Introduction
1.1 Research Background
1.2 Research Status
1.3 Main Contributions
2 FinBERT-LSTM Model
2.1 FinBERT for Sentiment Analysis
2.2 LSTM for Time Series Prediction
3 Experimental Process
3.1 Experimental Data and Preprocessing
3.2 Fine-Tuning the FinBERT Model
3.3 Investor Sentiment Analysis
3.4 Stock Price Prediction
4 Experimental Results
4.1 Evaluating Metrics
4.2 Comparison of Results
5 Conclusion
References
Hyperparameter Tuning on Classical Machine Learning Models in Orthopedic Disease Prediction on Biomechanical Features
1 Introduction
2 Related Work
3 Methods
3.1 Dataset
3.2 Algorithms for Classification
4 Experimental Results
4.1 The Performance with Logistic Regression
4.2 The Performance with KNN
4.3 Random Forest Classifier
4.4 The Performance with LightGBM
4.5 Comparison with Previous Studies
5 Conclusion
References
Interpreting Large-Scale Attacks Against Open-Source Medical Systems Using eXplainable AI
1 Introduction
2 Related Works
3 XGBoost Tree
4 SHAP Explainer
5 Experimental Evaluation
6 Conclusions and Future Work
References
Jupyter-Based Java Development Environment for Programming Education
1 Introduction
2 Related Work
2.1 Reasons for Using Jupyter in CS
2.2 Previous Research
3 System Design
3.1 Traditional X11 Server
3.2 System Overview
4 Evaluations
4.1 Reproducibility
4.2 Performance
5 Conclusions
References
A Customizable Intelligent System for Cervical Cytology Image Classifications
1 Introduction
2 Background Information and Related Works
2.1 Epithelial Cell Types Used in the Experiment
2.2 Machine Learning Shallow and Deep Models
3 The Proposed Method
4 Results
4.1 Data Sets Analysis
4.2 Performance Evaluation Metrics
5 Conclusions
References
Feature Selection Based on Ranking Metagenomic Relative Abundance for Inflammatory Bowel Disease Prediction
1 Introduction
2 Related Work
3 Methods
3.1 Data Description
3.2 Ranking Relative Abundance on Inflammatory Bowel Disease Datasets
3.3 Algorithms for Disease Classification
4 Experimental Results
4.1 The Number of Selected Features Affecting the Performance
4.2 Discussion
5 Conclusion
References
Child Abuse Behaviors Identification from Surveillance Videos
1 Introduction
2 Related Work
3 Methods
3.1 Child Abuse Behaviors
3.2 Dataset
3.3 Building Child Abuse Behaviors Detection Model with YOLO
3.4 Evaluating Child Abuse Behaviors Detection Model
4 Experimental Results
4.1 Environmental Settings
4.2 Abuse Behavior Detection Using YOLOv5 and YOLOv8
4.3 Abuse Behavior Detection Using Augmented Dataset
4.4 Discussion
5 Conclusion
References
A Fuzzy-Based System for Selection of Radio Access Technology in 5G Wireless Networks Considering RAT Load as a New Parameter
1 Introduction
2 Software-Defined Networks (SDNs)
3 Fuzzy Logic
4 Proposed Fuzzy-Based System
5 Simulation Results
6 Conclusions and Future Work
References
Assessment of WMN-CS Intelligent Simulation System for Uniform, Weibull and Chi-Square Distribution of Mesh Clients
1 Introduction
2 Related Work
3 Node Placement Problem in WMNs
4 Cuckoo Search Algorithm
4.1 Overview of Cuckoo Search
4.2 Lévy Flight
5 WMN-CS Simulation System
6 Simulation Results
7 Conclusions
References
Performance Evaluation of a Distracted Driving Detection System Considering Smoking Behavior
1 Introduction
2 Deep Neural Networks: An Overview
3 Intelligent Distracted Driving Detection System
3.1 System Model
3.2 Detection Targets and Classes
4 Evaluation Results
4.1 Hand Detection and Improving Detection Accuracy
4.2 Classification Accuracy for Different Batches
5 Conclusions
References
Trusted Computing in Advanced Cybersecurity Solutions
1 Introduction
2 Cognitive Inference for Trusted Computation
3 Trusted Computing Based on Feature Vectors
4 Trusted Computing in Data Sharing Protocols
5 Trusted Computing in Cloud-to-Things
6 Security of Trusted Computing Protocols
7 Conclusions
References
DP-ACO: Differentially Private Average Consensus Optimization in Decentralized Learning
1 Introduction
1.1 Background
1.2 Our Contributions
2 Our Proposed System for Differentially Private Average Consensus Optimization
3 Experiments
4 Conclusion
References
A Method for Job Management Using MPI Profiling Interface
1 Introduction
2 Problems of Job Schedulers and Their Case Study
2.1 Problems of Job Schedulers
2.2 Case Study of Gang Scheduling
3 The Approach Using MPI Profiling Interface
3.1 Overview of Our Approach
3.2 Monitor the Running Status of the Job
3.3 Obtain Properties of the Job
4 Architecture of Our System
4.1 Requirements of Our System
4.2 Notification of the Job Running Status
4.3 Notification of the Job Properties
4.4 Structure and Flow of Our System
5 Evaluation
5.1 Purpose of Evaluation
5.2 Method for Evaluation
5.3 Result of Evaluation
6 Conclusion
References
Early Design Mechanism for Upgrading Smart Contract Business Processes
1 Introduction
2 Related Work
3 Case Study: Telecom Service Center (TSC)
4 Research Methodology: An Early FT-Based Upgrade Design Mechanism for SC BP
4.1 BP Modeling
4.2 Deriving SC BP
4.3 Upgrading SC BP
5 Conclusion
References
Energy-Efficient Concurrency Control with Role and Purpose Concepts
1 Introduction
2 System Model
2.1 Transactions
2.2 Power Consumption and Computation Models of a Server
2.3 Significancy of Transactions
3 EESPO Scheduler
4 Evaluation
5 Concluding Remarks
References
An Architecture Proposal Using Hybrid Blockchain Applied for Supply Chain Tracking
1 Introduction
2 Work Motivation
3 Related Works
3.1 Discussion
4 Proposed Architecture
4.1 Data Representation and Storage
4.2 Proposed Architecture
5 Architecture Implementation
5.1 Typical Use Case
6 Results
6.1 Test Case 1 - Evaluation of Response Time for Data Storage
6.2 Test Case 2 - Evaluation of Response Time for Data Insertion in the Hybrid Database Layer
6.3 Test Case 3: Performance Evaluation of the Insertion Queue for Hyperledger Fabric
6.4 Transparency and Security Overview
7 Conclusion
References
New Convergence Analysis of the BEER Algorithm in Decentralized Nonconvex Optimization
1 Introduction
2 Preliminaries and Assumptions
3 The BEER Algorithm
4 New Convergence Theorem for BEER
5 Conclusion
References
Fog Node Selection Algorithm in Information Flow Control
1 Introduction
2 System Model
2.1 CBAC Model
2.2 Component Degree
3 Information Flow Relations
4 Information Flow Control
5 Evaluation
6 Concluding Remarks
References
Implementing Deep Reinforcement Learning Algorithms on the Tennis Environment
1 Introduction
2 Literature Review
3 Deep RL Algorithms
3.1 Deep Q-Learning (DQN)
3.2 Cross Entropy
3.3 Deep Deterministic Policy Gradient
4 Simulation and Results
4.1 Implementing DQN
4.2 Implementing Cross Entropy
4.3 Implementing DDPG
5 Conclusion
References
A Survey on Cooperative Intelligent Transportation Systems (C-ITS): Opportunities and Challenges
1 Introduction
2 Challenges and Solutions
2.1 Wireless Communication
2.2 Data Privacy and Cybersecurity
2.3 Interoperability and Standardization
2.4 Public Acceptance and User Adoption
2.5 Sustainability and Safety
3 Conclusion
References
Conceptualizing a Digital Twin Architecture for Enhanced Control in Precast Concrete Production
1 Introduction
1.1 Digital Twins: Concept and Application
2 Literature Review
3 Precast Concrete Process
3.1 The Accelerated Heat Curing Cycle
4 Case Study: NVC Precast
5 Conclusion
References
An Energy-Efficient Homogeneous TBFC Model of the IoT
1 Introduction
2 The HTBFC Model
2.1 Tree Structure
2.2 Computation Model of a Node
2.3 Energy Consumption of a Node
2.4 Equivalent Applications
3 Energy Consumption of the HTBFC Model
4 An Energy-Efficient HTBFC Tree
5 Evaluation
6 Concluding Remarks
References
Utilization of Apriori Algorithm to Maximize the Sales Potential of Youth Entrepreneurs by Increasing the Frequency and Sales Generation in the Modern Culinary Business Sector
1 Introduction
2 Research Methods
3 Results and Discussion
4 Conclusions
References
Innovation and Coping Strategy in the Modern Cigarette Industry: Evidence from Indonesia
1 Introduction
2 Research Methods
3 Results and Discussion
4 Conclusion
References
A Model to Determine Social Identity of the Organization: The Role of Employee Engagement and Positive Work Behavior
1 Introduction
2 Literature Review and Hypotheses Development
2.1 Meaning of Work Dan Organizational Engagement
2.2 Organizational Citizenship Behavior and Employee Engagement
2.3 Learning Goal Orientation and Organizational Engagement
2.4 Employee Engagement and Social Identity
3 Method
4 Result
5 Discussion and Conclusion
References
A Conceptual Model to Improve SME's Digital Innovation Capability: The Role of Digital Adoption and Entrepreneurial Orientation
1 Introduction
2 Literature Review
2.1 Behaviour Support to Change
2.2 Digital Self Efficacy
2.3 Digital Adoption
2.4 Digital Innovation Capability
2.5 Entrepreneurial Orientation
3 Proposed Conceptual Model
3.1 Behaviour Support to Change and Digital Adoption
3.2 Digital Self-efficacy and Digital Adoption
3.3 Digital Adoption and Digital Innovativeness
3.4 Entrepreneurial Orientation and Digital Innovation Capability
4 Conclusion and Future Research
References
Revitalization and Social Cognitive Theory: Evidence of Indonesian Cooperatives
1 Introduction
2 Research Methods
3 Results and Discussion
4 Conclusion
References
Designing a Quiz Application Navigation for Visually Impaired Persons Based on Android Platform
1 Introduction
2 Theoretical Background
2.1 Navigation Menu in Mobile Applications
2.2 Usability
2.3 Blind Users
3 Research Method
3.1 System Requirements for Visually Impaired Users
3.2 System Requirements for Visually Impaired Users
4 Conclusions
References
Towards a Methodology for Comparing Legal Texts Based on Semantic, Storytelling and Natural Language Processing
1 Introduction and Motivations
2 Related Works
3 The Proposed Methodology
3.1 Storytelling Model
3.2 Contradiction Patterns Between Different Versions
4 A Case Study for Road Accident Domain
5 Conclusion and Future Works
References
Text Annotation Tools: A Comprehensive Review and Comparative Analysis
1 Introduction
2 State of the Art of Textual Non Semantic Annotation Tools
3 State of the Art of Textual Semantic Annotation Tools
4 Text Annotation Comparison
5 Conclusion and Future Works
References
Artificial Intelligence in Architecture, Engineering and Construction Sector and Building Information Modeling: A Review of Methodologies, Applications and Future Perspectives
1 Introduction
2 Applications of AI in the Construction Lifecycle: Predictive Models and Digital Twins
3 An Innovative Approach to Design: Generative Design, Virtual Reality and Augmented Reality
4 Safety, Monitoring, and Work Management
5 Automation, Off-Site Construction and Sustainability
6 Application of Semantics, Automatic Reasoning, and GOFAI
7 Conclusion
References
Semantic, Business Process and Natural Language Processing for eBuilding
1 Introduction and State of the Art
2 Verification of Conformity of Design Artefacts and Administrative Process with Standards and Norms
3 Proposed Methodology
4 Conclusion and Future Works
References
Semantic and Inference-Based Techniques for IoT-Enabled Discovery of Escape Routes in Building Information Modeling
1 Introduction and Motivations
2 Related Works
3 The IfcOWL Model
4 An IoT-Based Extension of the IfcOWL Model
5 A Case Study: Searching for Escape Routes from a Burning Building
6 Conclusion and Future Works
References
Knowledge Graphs Application to Life Science
1 Introduction
2 Knowledge Graphs
3 Knowledge Graphs Construction
4 Knowledge Graphs Applications to Life Science
4.1 Inference on Knowledge Graphs
4.2 Machine Learning and Deep Learning on Knowledge Graphs
5 Conclusion
References
Artificial Intelligence Techniques for Dynamic Offloading in Cloud Continuum Environment: A Review
1 Introduction
2 Enabling Technologies
3 Overview of Offloading Strategies
4 AI-Assisted Dynamic Offloading Algorithm
5 Conclusion
References
Towards a Semantic Annotation Software Design for Images and Texts
1 Introduction and Motivation
2 Architectural Design
3 Annotation Methodology
3.1 Text Annotation
3.2 Image Annotation
3.3 Annotation Occurrences
4 Proposed Implementation
5 Conclusion and Future Works
References
A Conceptual Framework for Predictive Process Monitoring in Public Administration
1 Introduction
2 Overview
2.1 Predictive Process Monitoring
2.2 Key Performance Indicators in Public Administration
3 A Framework for the Integration of PPM in PA
4 Conclusion
References
Navigating IoT Complexity: Developing Datasets for Smart-Home Device Interactions
1 Introduction
2 Related Work
3 Dataset
3.1 Methodology for Dataset Generation
3.2 Idle Data
3.3 HCI Data
3.4 HCI Data - Door Sensor
3.5 HCI Data - Smoke Sensor
3.6 HCI Data - Smart Bulb
4 Data Organization and Filtering
5 Conclusion and Future Works
References
Integration of LLM in Barcode Scanning for Visually Impaired People
1 Introduction
2 Related Work
3 Proposed Methods
4 Results
5 Conclusions and Future Work
5.1 Conclusions
5.2 Future Work
References
Exploring Technologies for Semantic Metadata Enhancement
1 Introduction
2 Scenario and Motivation
3 Literature Analysis
4 Analysis of Explored Technologies
4.1 Apache Stanbol
4.2 Large Language Models (LLMs)
5 Discussion and Final Remarks
6 Conclusion
References
Automatic Chord Estimation Using Deep Learning Focused on Overtone Structure
1 Introduction
2 Automatic Chord Estimation Using Deep Learning and Prior Probability
2.1 VAE Model
2.2 Generative Model
2.3 Classification and Recognition Model
2.4 Chroma Vector
2.5 Issue
3 Proposed Method
3.1 Creating Fund-Fifth Vector
3.2 Selection of Fundamental Tone
3.3 Tension Attenuation
4 Experiment
4.1 Experiment Conditions
4.2 Results for Estimation Accuracy
4.3 Discussion
5 Conclusions
References
Development of Multipurpose Network Learning Materials Using OpenFlow
1 Introduction
2 Development of Teaching Materials
2.1 L2 Switch
2.2 Router
2.3 Firewall
3 Discussion
4 Conclusion
References
Headtracking Functions of IntelligentBox for Dental Treatment Training System
1 Introduction
2 Related Work
2.1 Dental Treatment Training Systems
2.2 IntelligentBox
2.3 Haptic Device Phantom
3 IntelligentBox Based Dental Treatment Training System (IBDTTS)
3.1 First Version of IBDTTS
3.2 Second Version of IBDTTS
3.3 Third Version of IBDTTS
4 Two Types of Headtracking Functions
4.1 AR Marker-Based Headtracking
4.2 Face Recognition-Based Headtracking Function
5 User Evaluations
6 Discussion
7 Concluding Remarks
References
Web-Based Interactive Radiation Visualization Tool for Radiation Protection Learning
1 Introduction
2 Related Work
3 Web-Based Interactive Radiation Visualization Tool
3.1 3D Space
3.2 Control Panels
3.3 Radiation Meters
4 First Evaluation Experiment
5 Improvement After First Evaluation Experiment
5.1 Additional Dosimeter Representation Methods
5.2 Creation of a 3D Model of a Healthcare Worker and Modification of the Player 3D Model
5.3 Additional X-ray Laboratory Data
5.4 Changing the Controller for the Position of the Player's Hands
5.5 Additional Scenarios
5.6 Additional Tips
5.7 Adjustments to the Control Panels
6 Second Evaluation Experiment and Discussion
6.1 Questionnaire and Answer Results
6.2 Discussions
7 Concluding Remarks
References
Author Index

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