Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022)

Name: Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022)
Brand: Springer
Price: 171.19 EUR
Availability: OnlineOnly

Phayung Meesad Sunantha Sodsee Watchareewan Jitsakul Sakchai Tangwannawit(Herausgeber*in)

Springer (Verlag)

Erschienen am 2. April 2022

X, 196 Seiten

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978-3-030-99948-3 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Program Committee
Organizing Partners
Contents
Automatical IVUS Image Segmentation and Detection Using BLOB Analysis
1 Introduction
2 Background Knowledge
2.1 Image Description
2.2 Enhancement Methodology
2.3 Clustering Method
2.4 Morphological Method
3 Methodology
3.1 Morphological Operations
3.2 Blob Detection
3.3 Connected Component Analysis
4 Results and Discussion
4.1 Performance Measurement Tools
5 Conclusion
References
Multi-tenant Blockchain-Based State Land Allocation and Usage System for Government Agencies
1 Introduction
2 Related Works and Technologies
2.1 Blockchain
2.2 Ethereum
2.3 Geographic Information System (GIS)
2.4 PostGIS
2.5 Blockchain-Based GIS
3 System Design
3.1 Architecture
3.2 Smart Contract
3.3 Web Application
4 Evaluation
4.1 Performance Evaluation
4.2 Feature Evaluation
5 Deployment Considerations
6 Future Works
6.1 Blockchain-Level Geospatial Data Validation
6.2 Smart Contracts Ecosystem
7 Conclusion
References
Modified Ant System with Threshold for the Vehicle Routing Problem
1 Introduction
2 Background
2.1 Objective Function of VRP
2.2 Ant System (AS)
3 Our Proposed Method
3.1 Modified Ant System with Threshold
3.2 Local Search
4 Experimental Results
5 Conclusion
References
Discovery of Business Model Transform in Commerce Using LSA Approach with Firm Information Disclosure
1 Introduction
2 Extracting Hidden Topics from Information Disclosure
2.1 Information Disclosure
2.2 Latent Semantic Analysis
3 Dataset and Data Preparation
3.1 Dataset
3.2 Data Preprocessing
4 Experiments
4.1 Determining Optimal Number of Topics
4.2 Latent Topics and Relevant Key Terms
5 Discussion
6 Conclusion
References
Drugtionary: Drug Pill Image Detection and Recognition Based on Deep Learning
1 Introduction
2 Details of Drugtionary Application
2.1 Overview of Drugtionary Application
2.2 Image Search
2.3 Text Search and Chatbot
3 Experiment
3.1 Experimental Setup
3.2 Results and Discussions
4 Conclusion
References
.26em plus .1em minus .1emIntegrating Fishbone Diagram from Descriptive and Predictive Data Mining for Describing the Relation Between Cardiovascular Diseases and Related Items
1 Introduction
2 Related Work
2.1 k-Mean Clustering
2.2 Apriori Algorithm
2.3 Association Rule Tree Reasoning
2.4 C4.5 Decision Trees
3 The Proposed Integrating Fishbone Diagram
4 Experiments and Results
4.1 k-Means Clustering
4.2 Fishbone Diagram Derived from Apriori Algorithm
4.3 Fishbone Diagram Derived from Association Rule Tree Reasoning
4.4 Fishbone Diagram Derived from C4.5 Technique
4.5 Fishbone Diagram Derived from Integration of All Data Mining Techniques Used in This Study
5 Discussion
6 Conclusion
References
A Self-adaptive Differential Evolution Algorithm for Solving Optimization Problems
1 Introduction
2 Differential Evolution Algorithm
2.1 Initialization
2.2 Mutation
2.3 Crossover
2.4 Selection
3 Proposed Method
4 Experimental Results
5 Conclusion
References
Chertify: Wood Identification-Based Mobile Cross-platform by Deep Learning Technique
1 Introduction
2 Related Work
2.1 Economic Wood Situation in Thailand
2.2 Conventional Wood Identification Process
2.3 Wood Identification Technology and Tools
3 System Design
4 Wood Identification Methodology
5 Experiments and Discussion
5.1 Prototype of Chertify Application
5.2 Training and Testing for Wood Identification
6 Conclusion and Future Research
References
Combining Logistic Regression Analysis with Data Mining Techniques to Predict Diabetes
1 Introduction
2 Logistic Regression
3 Data Mining Techniques
3.1 Decision Trees
3.2 Naïve Bayes
3.3 Artificial Neural Network
4 Methodology
4.1 Data Understanding and Preprocessing
4.2 The Logistic Regression Predictive Modeling
4.3 The Data Mining Technique Predictive Modeling
4.4 The Model Performance Evaluation
5 Results
6 Conclusion
References
AutoRat: Automated Risk Assessment Tool for Network Mapper Scanning
1 Introduction
2 Related Work
3 Our Proposed System
3.1 System Overview
3.2 Nmap Result Processing Module
3.3 The Risk Assessment Module
3.4 The Presentation Module
4 Evaluation and Implementation
4.1 Experiment Setting
4.2 Experiment Results
5 Conclusion
References
Prediction of Thai Court Judgments in Criminal Cases Using Deep Neural Networks
1 Introduction
2 Related Work
2.1 Risk Assessment
2.2 Trial
3 Methodology
3.1 Crime Dataset
3.2 Feature Extraction
3.3 Designed Deep Neural Networks Model
4 Performance Evaluation
5 Conclusion
References
Multi-objective Optimization of Aluminum Profile Extrusion Process
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Problem Formulation
3.2 Multiple Extrusions Per Billet
3.3 Multiple Billets Per Extrusion
3.4 Solution Procedure
4 Case Studies
4.1 Feasible Solution Space
4.2 Effect of Improving Maximum Billet Size
4.3 Effect of Improving Maximum Runout Table Length
5 Conclusion
References
Bitcoin Considered Harmful
1 Outline of the Crypto Currency Bitcoin
2 Discussion of Bitcoin's Concept
3 Conclusion
References
Journal Recommendation System for Author Using Thai and English Information from Manuscript
1 Introduction
2 Related Theories and Related Works
2.1 Related Theories
2.2 Related Work
3 Methodology
3.1 Data Exploring
3.2 Data Preprocessing
3.3 Data Modeling
4 Experimental Result
4.1 Experimental Setup
4.2 Evaluation Metric
4.3 Experiment on English Information
4.4 Experiment on Thai Information
4.5 Experiment on English and Thai Information
5 Conclusions and Future Works
References
Efficiency Optimization for Operational Performance in Green Supply Chain Sourcing Using Data Envelopment Analysis: An Empirical Study
1 Introduction and Motivation
2 Data Envelopment Analysis (DEA)
2.1 Sets
2.2 Parameters
2.3 Decision Variables
2.4 DEA Mathematical Model
2.5 DEA Mathematical Model (LP)
3 Case Study of Operational Efficient Sourcing
3.1 Research Design
3.2 Analyzed Results and Discussion
3.3 Discussion
4 Conclusion and Future Research Directions
References
Automatic Question and Answer Generation from Thai Sentences
1 Introduction
2 Related Works
2.1 Data
2.2 Question Classification
2.3 Question and Answer Generation
2.4 Evaluate Question and Answer Generate
3 Experiment Results
4 Conclusion and Future Work
References
.28em plus .1em minus .1emSPP-EEGNET: An Input-Agnostic Self-supervised EEG Representation Model for Inter-dataset Transfer Learning
1 Introduction
2 Method
2.1 SPP-EEG Feature Extractor
2.2 Contrastive Learning
2.3 Augmentation Methods
2.4 Transfer Learning
3 Experiments
3.1 Datasets
3.2 Data Preprocessing
3.3 Training Details
3.4 Transfer Learning Results
4 Conclusion
References
Enhancing Sentiment Analysis Using Hybrid Deep Learning
1 Introduction
2 Literature Reviews
2.1 Convolutional Neural Networks (CNN)
2.2 Gated Recurrent Unit (GRU)
2.3 Related Work
3 Research Methodology
3.1 Collect Data and Preprocessing
3.2 Modeling and Evaluation Parameter
4 Experimental Results
4.1 CNN
4.2 GRU
4.3 CNN-GRU
5 Conclusion
References
Author Index

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