Information Technologies and Intelligent Decision Making Systems: First International Conference, ITIDMS 2021 Virtual Event, January 25, 2021 Revised Selected Papers

✍ Scribed by Arthur Gibadullin

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 158
• Series: Communications in Computer and Information Science, 1703
• Category: Library

✦ Synopsis

This book constitutes selected papers presented at the First International Scientific and Practical Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2021, held as Virtual Event in January, 2021.
The 13 presented papers were thoroughly reviewed and selected from the 41 submissions. The conference was held with the aim of summarizing international experience in the field of information, digital and intellectual development, within which proposals were formulated for digital and information transformation, the development of computer models, information technologies, automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from China, Uzbekistan, Lebanon, Poland, Kazakhstan, Bulgaria and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and developments that can improve the efficiency and development.

✦ Table of Contents

Preface
Organization
Contents
Analysis of Domain Name Resolution Strategy of Local DNS Server in the Transition from IPv4 to IPv6
1 Introduction
2 Public Local DNS Server
3 Differentiated Domain Name Publishing
4 Test Topology
5 Test Tools and Time
5.1 Test Tool:DiG 9.3.2
5.2 Netease DNS Tool (http://nstool.netease.com)
5.3 Test Time
6 Test Results and Analysis
7 Summary
References
Experimental Evaluation of the Efficiency of Compression of Files by Fractal-Spectral Codec
1 Introduction
2 Methodology
3 Discussion
4 Conclusion
References
An Intelligent Decision Support System for Solving Complex Territorial Planning Problems
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Fault Tolerance of Distributed Worker Processes in Corporate Information Systems and Technologies
1 Introduction
2 Materials and Methods
3 Results
3.1 Review of Existing Solutions
3.2 Fault Tolerance Problem
3.3 Usage of Distributed Blockers and Key-Value Storages
3.4 Application of Distributed Blockers to Worker Processes
4 Discussion
5 Conclusion
References
Functioning of the Thermal Memory Cell
1 Introduction
2 Materials and Methods
2.1 Structure Description
2.2 Description of Impulse Installation
3 Results
4 Discussions
5 Conclusion
References
Using Data Mining Technology in Monitoring and Modeling the Epidemiological Situation of the Human Immunodeficiency Virus in Kazakhstan
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusion
References
Information Technology and Artificial Intelligence in Improving of Center Pivot Irrigation Control
1 Introduction
2 Materials and Methods
3 Results and Discussions
4 Conclusions
References
KOA Pathology Screening Using Multi-channel VAG Signal Fusion Method
1 Introduction
2 VAG Signal Fusion Algorithm Based on Consistency Metric and Adaptive Weights
2.1 Mathematical Model of Multi-channel Signal Fusion
2.2 Multi-channel Signal Consistency Metric
2.3 Adaptive Weighting Factor Correction
3 KOA Pathology Screening Algorithm Based on Consistency and Adaptive Weighted Signal Fusion
4 Experimental Results and Discussion
4.1 VAG Signal Multi-channel Signal Fusion Results
4.2 VAG Signal Pathology Screening Result
5 Conclusion
References
Prioritization of Distributed Worker Processes Based on Etcd Locks
1 Introduction
2 Materials and Methods
3 Results
3.1 Review of Existing Approaches and Solutions
3.2 Choosing a Key-Value Store
3.3 Organization of Data Considering the Specifics of using Key-Value Storages
3.4 Prioritization Algorithm
4 Discussion
5 Conclusion
References
Analysis of Methods for Classifying and Segmenting 3D Images
1 Introduction
2 Materials and Methods
2.1 Methods for Merging Graph Convolutional Neural Networks
2.2 Feature Fusion Methods
2.3 Methods Based on Multi-scale
2.4 Point Ordering Methods
2.5 Multi-view Based Methods
2.6 Volumetric Methods
3 Results
4 Discussion
5 Conclusion
References
Tone Image Processing with Discrete Data Structure
1 Introduction
2 Materials and Methods
3 Results
3.1 Sampling in One Dimensional Case
3.2 2D Case of Fetching Items in Images
4 Discussion
4.1 Image Distortion Due to Insufficient Sampling Rate
4.2 Quantization
5 Conclusion
References
The Concept of Client-Server Architecture for Remote Control of a Distributed Knowledge Base
1 Introduction
2 General Concept
3 Implementation Example
4 Conclusion
References
Experimental Study of Russian-Language News Text Categorization Performance Using Machine Learning Algorithms
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Method for Solving the Problem of News Text Categorization
3.2 A Subsection Sample
3.3 Text Preprocessing and Feature Generation
3.4 A Subsection Sample
4 Results
5 Discussion
6 Conclusion
References
Author Index