Proceedings of the Second International Conference on Advances in Computing Research (ACR'24)

Name: Proceedings of the Second International Conference on Advances in Computing Research (ACR'24)
Brand: Springer
Price: 255.73 EUR
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Kevin Daimi Abeer Al Sadoon(Herausgeber*in)

Springer (Verlag)

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Erschienen am 28. März 2024

XIX, 563 Seiten

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978-3-031-56950-0 (ISBN)

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Inhalt

Intro
Preface
ACR'2024
Contents
Data Analytics Engineering
Evaluating Study Between Vision Transformers and Pre-trained CNN Learning Algorithms to Classify Breast Cancer Histopathological Images
1 Introduction
1.1 Breast Cancer Statistics in KSA
1.2 Computer-Aided Methods are Needed to Diagnose Cancer
1.3 Comparing Vision Transformers and CNN
2 Literature Review
2.1 The Transformers
2.2 The Vision Transformer (ViT)
2.3 The Residual Network
2.4 Related Work
3 The Dataset
4 The Synthesis and Analysis Phases
5 Research Results and Discussions
5.1 ResNet18 vs ViT16
5.2 ViT16 With Augmentation vs ViT 16 Without Augmentation
6 Conclusions
7 Future Work
References
TNEST: Training Sparse Neural Network for FPGA Based Edge Application
1 Introduction
2 Literature Review
3 Motivation for Edge Computing
4 Constrained Neural Architecture Generator
5 Methodology
5.1 Sparsity Mechanism
5.2 Connections Re-wiring
5.3 Layer Size Tuning
6 Experiments Evaluation
6.1 Experiment Testbench
6.2 Software Implementation
6.3 FPGA Implementation
7 Conclusion
References
Public Policy Decision Making: Confirmatory Factor Analysis
1 Introduction
2 Public Policy Decision Making
2.1 Sample and Descriptive Statistics
3 Reliability of the Scales
3.1 Confirmatory Factor Analysis
4 Conclusion
References
An Analytical Study of Traffic Accidents in Connecticut, USA Using Python
1 Introduction
2 Background
3 Method
3.1 Data Collection
3.2 Data Inspection
3.3 Data Cleaning and Preprocessing
4 Results
4.1 Temporal Analysis
4.2 Town-Wise Analysis
4.3 Hourly Analysis
4.4 Vehicle Color Analysis
4.5 Driver Age Analysis
5 Conclusion
References
Improving the Efficiency of Multimodal Approach for Chest X-Ray
1 Introduction
2 Literature Review
3 Data
4 Methods
4.1 Image Submodel
4.2 Text Submodel
4.3 Multimodal Fusion Techniques
4.4 Modification for Enhanced Comparison
4.5 Model Improvement
4.6 Training Parameters
4.7 Output Activation Function
5 Model Evaluation Metrics
6 Results and Discussion: Proposed Model vs Baseline Model
7 Conclusion
References
Wrist Crack Classification Using Deep Learning and X-Ray Imaging
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Dataset Descriptions
3.2 Data Preprocessing
3.3 Proposed CNN
3.4 Training Process of Proposed Method
3.5 Methodology
4 Results and Discussions
4.1 Results Analysis
5 Conclusions and Future Work
References
Improving Weeds Detection in Pastures Using Illumination Invariance Techniques
1 Introduction
1.1 Motivations and Objectives
1.2 The Data Description
2 Methodology
2.1 Methods
2.2 Image Thresholding Technique
2.3 Pre-processing Technique
2.4 Framework
2.5 Training
2.6 The Support Vector Machine (SVM) Algorithm
2.7 Cross Validation
2.8 Confusion Matrix
3 Results
4 Discussion
4.1 Future Work
5 Conclusion
References
Credit Card Batch Processing in Banking System
1 Introduction
1.1 Batch Processing
1.2 Credit Card Transaction
1.3 Customer Profile Analyzer/Database
2 Literature Review
3 Key Findings and Context
3.1 Credit Card Fraud and Recent Trends
3.2 Pyspark and Apache Airflow
4 Result and Discussion
5 Conclusion
References
Irregular Frame Rate Synchronization of Multi-camera Videos for Data-Driven Animal Behavior Detection
1 Introduction
2 Related Work
2.1 Software-Based Methods
2.2 Hardware-Based Methods
2.3 Summary of Literature Studies
3 Proposed Irregular Frame Rate Synchronization Method for Pre-recorded Multi-camera Videos
3.1 Overview of Our Multi-camera Video setup and Irregular Frame Rate Problem
3.2 SIFT-Based Synchronization Experiment
3.3 Proposed Timestamp-Based Irregular Frame Rate Synchronization
3.4 Results and Discussion
4 Conclusions and Future Work
References
Increasing the Accuracy of a Deep Learning Model for Traffic Accident Severity Prediction by Adding a Temporal Category
1 Introduction and Related Work
1.1 Introduction
1.2 Related Work
2 Methodology
2.1 Dataset
2.2 Pre-processing Data
2.3 Temporal Features
2.4 Post-processing Data
2.5 New CNN-2D Model
2.6 Comparison Metrics
2.7 Comparison Models
3 Results
3.1 Liverpool
3.2 Southwark
3.3 Comparison Summary
4 Conclusions
References
2ARTs: A Platform for Exercise Prescriptions in Cardiac Recovery Patients
1 Introduction
2 Related Work
3 Methodology
4 The Classification Model
4.1 The Dataset, Data Cleaning and Pre-processing
4.2 Modeling
4.3 Evaluation
5 Development of the 2ARTs Digital Platform
5.1 Main Software Features
5.2 AI Model and Digital Platform Integration
6 Discussion and Conclusion
References
Understanding Consumers Attitudes Towards Sustainability
1 Introduction
2 Related Literature
2.1 Brand Strategy Methodology
2.2 Sustainability in Business
2.3 Related Works
3 Methodology
3.1 Data Collection
3.2 Data Overview
3.3 Tensor-Based Clustering Method
3.4 Results
4 Conclusion
References
Enriching Ontology with Named Entity Recognition (NER) Integration
1 Introduction
2 Related Work
3 Methodology
3.1 Entity Selection Process
3.2 Dataset
3.3 Data Preprocessing
3.4 BERT
3.5 DistilBERT
3.6 RoBERTa
4 Results and Discussion
5 Conclusion and Future Work
References
Data Transfer Methods and Strategies: Unified Replication Model Using Trees
1 Introduction
1.1 Primary-Backup Replication (PBR)
1.2 Chain Replication (CR)
1.3 Unidirectional Replication (UR)
1.4 Dealing with the Failure of a Replica
2 Proposed Enhancement
2.1 Using Binary Trees in Unified Replication
2.2 Using AVL Trees in Unified Replication Structure
2.3 Using a Replicated AVL Tree
2.4 Tree-Based Replication Using AVL has Many Benefits
2.5 Effective Replication Using AVL Trees for Updates
3 Comparison and Results
4 Case Study and Discussion
4.1 Implementing an AVL Tree (Case Study 1)
4.2 Implementing a Binary Tree (Case Study 2)
5 Conclusion
References
Optimized Vehicle Repair Cost by Means of Smart Repair Distribution Model
1 Introduction
2 Methodology
2.1 Experimental Setup
3 Results and Discussion
3.1 Feature Selection
3.2 Interpretation
4 Conclusions
References
Classification of Eye Disorders Using Deep Learning and Machine Learning Models
1 Introduction
2 Dry Eye Disease Overview
2.1 Cause, Risk Factors, and Symptoms
2.2 Dry Eye Disease Subtypes
2.3 Methods Used for DED Diagnosis
3 Related Work
4 Our Work
4.1 Data Source and Preprocessing
4.2 Experimentation
4.3 Evaluation Metrics
4.4 Results
5 Discussion
6 Conclusion
References
Effects of Parallel and Distributed Learning on CNN Performance for Lung Disease Classification
1 Introduction
2 Material and Methods
2.1 Convectional Neural Network
2.2 Data Acquisition and Preprocesssing
3 Results and Discussion
4 Conclusions
References
A Federated Learning Anomaly Detection Approach for IoT Environments
1 Introduction
2 Related Work
3 Federated Learning Anomaly Detection (FLAD) Approach
3.1 Problem Formulation in Federated Learning
3.2 Anomaly Detection in Federated Setting
4 Data Preparation
5 Experiment and Results
5.1 Experiment Setting
5.2 Evaluation Metrics
5.3 Results and Analysis
6 Conclusion and Future Work
References
Taxonomy of AR to Visualize Laparoscopy During Abdominal Surgery
1 Introduction
2 Literature Review
3 Proposed System Components
4 Proposed System Components Evaluation and Validation
5 Discussion
6 Conclusion
References
Cybersecurity Engineering
Open Platform Infrastructure for Industrial Control Systems Security
1 Introduction
1.1 ICS Testbed and Training Workbench
1.2 Contributions to ICS Security Training
2 Background and Related Works
2.1 Prior and Similar Works
2.2 Digital Twins of Industrial Control Systems
2.3 Open Platform Infrastructure
3 ICS Open Platform Infrastructure (ICS-OPI) Development
3.1 Virtualized PLCs and ICS Protocols
3.2 Small Footprint in Isolation
3.3 Realization of an IT-OT Network Infrastructure
3.4 Development of ICS Digital Twins
3.5 Human Machine Interface for the ICS
3.6 Simulating ICS Security Attacks and Defense
4 Deployment and Dissemination
5 Conclusion and Future Directions
References
Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors
1 Introduction, Problem Statement and Research Questions
1.1 Background and Context
1.2 Problem Statement
1.3 Research Questions
2 Related Works
3 Proposition of the Combined SIEM-AI Approach
3.1 High-Level Architecture of the Proposed Combined SIEM-AI Approach
3.2 SIEM Rule-Based Approach
3.3 AI-Based Intrusion Detectors
4 Experimental Setup and Results
5 Discussion and Way Forward
5.1 Discussion
5.2 Threats to Validity
5.3 Future Work
6 Conclusions
References
Security Challenges and Solutions in Smart Cities
1 Introduction
2 Security Threat Landscape
3 Security Amplifying Factors (SAFs) A Subsection Sample
4 Security Measures and Solutions
5 Privacy Preservation Techniques and Case Studies
5.1 Effective Security Strategies Implementation
5.2 Security Failures and Their Implications
6 Future Directions and Emerging Trends
7 Conclusion
References
CloudSec: An Extensible Automated Reasoning Framework for Cloud Security Policies
1 Introduction
2 Background
2.1 Tapis
2.2 Tapis Security Policies
2.3 SMT Solver
3 Related Work
4 Approach
4.1 CloudSec - Extensible Framework Design
4.2 An Example Policy Type and Policy Definition
4.3 Tapis Policy Types
4.4 Translating a Policy Set to SMT Formula
4.5 Connectors and Converting SK Policies to Cloudsec
5 Performance
5.1 StringEnum Scalability
5.2 String with Wildcard Scalability
5.3 Performance Cliffs for SMT Solvers
6 Conclusion and Future Work
References
Optimizing Energy Consumption for IoT Adaptive Security: A Mobility-Based Solution
1 Introduction
2 Related Works
3 Our Solution: A Mobility-Based Energy Consumption Optimisation for Adaptive Security in Mobile IoT
3.1 System Model
3.2 Mobility Support for Adaptive Security
3.3 Energy Consumption of Adaptive Security Solution for Mobile IoT
3.4 Optimizing Energy Consumption Through Deep Reinforcement Learning and Mobility-Support
4 Conclusion
References
Cyber Edge: Mitigating Cyber-Attacks in Edge Computing Using Intrusion Detection System
1 Introduction
2 Related Work
3 III. The Proposed Framework
3.1 A. Architecture
4 B. Intrusion Detection System of Edge Computing
4.1 Resource Allocation Process
5 Simulation and Results
5.1 Simulation Environment: NS3
5.2 Simulation Parameters and Key Performance Metrics
5.3 Attack Simulation and Dataset Utilization
5.4 Simulation Goals
5.5 Baseline Models for Comparison Comparative Analysis and Established Models
5.6 Proposed Framework Specifics SDMMF and MDMMF Schemes
5.7 Simulation Results
5.8 Analysis and Interpretation of Results
6 Conclusion and Future Work
References
A New Security Mechanism for IoT Devices: Electroencephalogram (EEG) Signals
1 Introduction
2 Literature Work
3 Experimental Setup and Test Case
4 Results and Discussion
5 Conclusion
References
An Assessment of the Cyber Security Challenges and Issues Associated with Cyber-Physical Power Systems
1 Introduction
2 Interdependence Framework of CPPS
3 Existing Security Assessment Challenges and Solutions on CPPS
4 Cyber Attacks Exploiting CPPS Vulnerabilities
4.1 Classification of Attacks on CPPS
4.2 Attack Types
4.3 Evaluation of Attacks on CPPS
4.4 Defense Mechanisms for Attacks on CPPS
4.5 Mitigations/Protection of Attacks on CPPS
5 Other Critical issues of CPPSs
6 Discussion and Future Directions
7 Conclusion
References
Machine Learning Based Analysis of Cyber-Attacks Targeting Smart Grid Infrastructure
1 Introduction
2 Literature Survey
3 Machine Learning Algorithms Applied on Smart Grid
4 Infrastructure of Smart Grid
5 Threats to Smart Grid
6 Analysis of Various Machine Learning Techniques Applied on Security of Smart Grid
7 Discussion and Analysis of Cyber Attacks in Smart Grid Using Machine Learning
8 Results
9 Conclusion
References
Cyber Attack Detection on IoT Using Machine Learning
1 Introduction
2 Related Work
3 IOTID20 Dataset
4 Proposed Model
5 Results and Discussions
5.1 Binary Classification
5.2 Multi-classification
6 Conclusion
References
Using Multivariate Heuristic Analysis for Detecting Attacks in Website Log Files: A Formulaic Approach
1 Introduction
1.1 Background
1.2 Review of Current Website Protection
1.3 Proposed Approaches to Detect Low Rate Attacks
1.4 Aims and Hypothesis
2 Methods
2.1 Analysis of Traffic Features
2.2 User Behaviour
2.3 Context
2.4 Formulating Risk
2.5 Procedure for Analysis
3 Results
4 Discussion
4.1 Limitations
5 Conclusion
5.1 Future Work
References
Computational Intelligence
Integrating Lean Healthcare and Machine Learning for Cancer Risk Prediction
1 Introduction
1.1 Integration of Lean Healthcare with AI
1.2 Predicting Cancer Risk
2 Methodology
2.1 Dataset
2.2 Machine Learning Algorithms Used on Cancer Prediction Dataset
3 Results and Discussion
4 Conclusions
References
Innovating Project Management: AI Applications for Success Prediction and Resource Optimization
1 Introduction
2 Background
3 Methodology
3.1 Data Collection and Pre Processing
4 Experiment Result
5 Conclusion
References
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
1 Introduction
2 Proposed Method
2.1 NMFS-GA Framework
2.2 Loss Functions: Theoretical Analysis
3 Experimental Results
3.1 Synthetic Data
3.2 Breast Cancer Dataset
3.3 ADNI Data
4 Conclusion
References
Improving Early Diagnosis: The Intersection of Lean Healthcare and Computer Vision in Cancer Detection
1 Introduction
1.1 YOLO V7 and Healthcare 4.0
1.2 Lean Healthcare and Computer Vision in Cancer Detection
2 Methodology
2.1 Dataset
2.2 YOLO (You Only Look Once)
3 Results and Discussion
4 Conclusions
References
Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data
1 Introduction
2 Materials and Methods
2.1 Image Input Processing
2.2 SOM-QE Analysis
3 Results
4 Conclusions
References
A Web Application to Determine the Quality of Water Through the Identification of Macroinvertebrates
1 Theoretical Fundament
1.1 Bioindicators
1.2 Aquatic Macroinvertebrates
1.3 Artificial Intelligence
1.4 Convolutional Neural Networks (CNN)
1.5 Python
1.6 Flutter
2 Methodological Framework
2.1 Architecture Design
2.2 Code Development for CNN Training
2.3 Implementation of the Code for the Identification of Macroinvertebrates Using Computer Vision Techniques, Using OpenCV
3 Implementation and Analysis of Results
3.1 Display of the Online Platform Interface.
3.2 Analysis Carried Out on CNN
3.3 Analysis of the CNN Confusion Matrix
References
Analysis of Blood Smear Microscopic Images Using ML: DL
1 Introduction
2 Methodology
3 Results
4 Discussion
5 Conclusions
References
Networking and Communication
Study of Sober and Efficient LoRaWAN Networks
1 Introduction
2 Related Works
3 Sober and Efficient LoRaWAN Network Simulation and Evaluation
4 Results Summary
5 Conclusion
References
User Controlled Routing Exploiting PCEPS and Inter-domain Label Switched Paths
1 Introduction
2 Background
2.1 Segment Routing
2.2 Path Computation Elements
2.3 PCEP and PCEPS
3 The UPIN Framework
4 PCE Evaluation
5 Inter-domain Paths with Global Labels
6 Proof of Concept
7 Discussion
8 Conclusion
References
Performance Evaluation of Multi-hop Multi-branch AF Relaying Cooperative Diversity Network
1 Introduction
2 Related Works
3 System Model
4 Performance Analysis
4.1 Bit Error Rate
4.2 Outage Probability
5 Numerical Results
6 Conclusion
References
Cloud and Mobile Computing
An Overview of Infrastructure as Code (IaC) with Performance and Availability Assessment on Google Cloud Platform
1 Introduction
2 Related Work
2.1 Benefits of Using IaC
2.2 Challenges of Using IaC
2.3 Security as a Challenge
2.4 Suggested Solutions to Challenges
3 IaC Tools on Cloud
3.1 Google Cloud Deployment Manager
3.2 Terraform
4 Evaluation of Challenges on GCP
5 Performance Analysis
5.1 Performance Analysis on Creating and Destroying a Virtual Machine
5.2 Analysis of Results
5.3 Limitation
6 Conclusion
References
Determination of Pareto-Optimal Solutions to the Problem of Multicriteria Selection
1 Introduction
2 Literature Review
3 Methodology
3.1 A Statement of the Task
3.2 B Construction of Pareto-Optimal Subset
3.3 C Results and Discussion
4 Conclusions
References
Robotics and Automation
A Quadcopter Development for Security Purposes
1 Introduction
2 Design and Methods
2.1 Quadcopter Design
2.2 PID Controller
2.3 Inertial Measurement Unit (IMU)
2.4 Lora (E220-900t22d)
3 Implementation
3.1 Control System
3.2 Calibration and Tuning
3.3 Mask Detection
3.4 Raspberry Pi
4 Results and Discussion
5 Conclusion
References
Posters
Towards a Scalable Spiking Neural Network
1 Introduction
2 Proposed Design and Implementation
2.1 Proposed Spiking Neural Network (SNN) Model
2.2 Implementation of SNN Model on FPGA
3 Evaluation and Conclusion
References
Driving Through Crisis: A Comparative Analysis of Road Accidents Before, During, and After the Pandemic
1 Introduction and Related Work
2 Background
3 Method
4 Conclusion
References
An Approach to Mitigate CNN Complexity on Domain-Specific Architectures
1 Introduction
2 Proposed Approach
3 Evaluation and Conclusion
References
Posters Abstracts
Exploration of TPUs for AI Applications
The Controversies and Challenges of Developing Beneficial Artificial Intelligence
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