Details

Subject(s)

• Computational intelligence [Browse]
• Industrial engineering [Browse]
• Production engineering [Browse]

Editor

• Aliev, R. A. [Browse]

Series

• Lecture Notes in Networks and Systems, 718 [More in this series]
• Lecture Notes in Networks and Systems, 2367-3389 ; 718 [More in this series]

Summary note

This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Bibliographic references

Includes bibliographical references and index.

Contents

• Intro
• Preface
• Organization
• Contents
• Z-Number-Valued Clustering
• Evolution of Cyber Physical Systems Towards Industrial Metaverse
• Intellectual Device for Measuring the Humidity of Bulk Materials
• 1 Introduction
• 1.1 Research Object
• 1.2 The Relevance of the Work
• 2 Methods
• 3 Results
• 4 Conclusions
• References
• University Selection by Using Z-TOPSIS Methodology
• 2 Preliminaries
• 3 Statement of the Problem and Z-TOPSIS
• 4 Experimental Verification of the Z-TOPSIS Method
• 5 Conclusion
• Industrial Metaverse: Solutions from a Higher-Dimensional World
• 2 Pilot Projects
• 3 Building Industrial Metaverses
• 3.1 Digitalization
• 3.2 Actualization
• 4 Benefiting from Industrial Metaverses
• 4.1 Productivity Tool
• 4.2 Education and Training
• 4.3 Industrial Integration and Upgrading
• 5 Growing Interest
• 6 Concluding Remarks
• Informativeness of Feature Sets in Data with Missing Values
• 2.1 Splitting into Intervals According to the Criterion of Dominance of Representatives of Classes
• 2.2 Membership Function and Stability of Feature
• 2.3 Formation of a Sequence of Features According to Stability
• 4 Conclusion
• Diagnosis of Faults in Electro-Mechanical Devices from Vibration Measurements
• 1.1 Problem Statement
• 1.2 Aims and Objectives
• 2 Methodology
• 2.1 Expected Results
• 3 Machine Diagnosis Analysis
• 3.1 AI in Mechanical Engineering
• 3.2 Classification Algorithms
• 4 Results and Discussion
• A Comprehensive but Simple Method Decision Making in Z-Environment
• 3 Problem Statement and Solution
• 4 An Application Business Location Selection
• References.
• Classification of Threats to Information Security of the "Smart Home" System
• 2 Main Part
• 3 Conclusions
• Finding Individual Feature Space for Quick Decision
• 3 Realization of the Concept
• 4 Computational Experiment
• Development of Reliable TOPSIS Method Using Intuitionistic Z-Numbers
• 3 TOPSIS Using Intuitionistic Z-Number
• 4 Supplier Selection Problem
• 5 Results and Discussion
• 6 Conclusion
• Analysis of Algorithm of Binary Classifiers to Improve Attack Detection Systems
• 2 Literature Review
• 3 Materials and Methods
• 4 Analysis and Results
• 5 Conclusions
• Features of Intuitionistic Fuzzy Logic Application in Software Algorithms
• 2 Basic Approaches to the Construction of Intuitionistic Fuzzy Sets
• 3 Development of Complex Algorithms for the Analysis of Data Sets Based on Intuitionistic Fuzzy Sets
• 4 Representation of Intuitionistic Fuzzy Sets as Intervals
• Defect Detection of Casting Products Using Convolutional Neural Network
• 2 Materials and Methods
• 2.1 Dataset
• 2.2 Convolutional Neural Networks
• 2.3 Evaluation Metrics
• 3 Experiments, Results, and Discussions
• 3.1 Experiments
• 3.2 Results
• 3.3 Discussions
• A New Type of Architecture for Neural Networks with Multi-connected Weights in Classification Problems
• 2 Description of the Architecture
• 3 The Structure of MCNN Model and Main Result
• 3.1 Training the MCNN
• 4 Computational Experiments
• Using the Capabilities of Artificial Neural Networks in the Cryptanalysis of Symmetric Lightweight Block Ciphers
• 1 Introduction.
• 2 Overview of Artificial Neural Network
• 2.1 Components of Artificial Neural Networks
• 2.2 Activation Function
• 2.3 Rectified Linear Unit (ReLu) Function
• 2.4 Loss Function
• 2.5 Mean Squared Error
• 2.6 Optimizer
• 2.7 Epoch
• 3 Simplified AES Algorithm
• 4 Methods
• 5 Attack Experiments and Results
• Intuitionistic Fuzzy Evaluation of Basic Human Needs
• 2 Statement of the Problem
• 3 An Algorithm for Computation of BHNI
• 4 Computation Results of BHNI
• Interpretable Neural Network Models in School Teacher Success Prediction
• 2 Data
• 3 Methods
• 3.1 Neural Networks
• 3.2 Integrated Gradients
• 3.3 SHAP
• 4 Results
• E-payment Systems Security Solutions Using Facial Authentication Based on Artificial Neural Networks
• 1.1 Threats to the Security of e-payment Systems in Uzbekistan
• 2 Method and Materials
• 2.1 Proposed Methodology
• 2.2 The Principle of Operation of the System
• 3 Conclusion
• Development of a Prototype of a Medical Application Using a Type-2 Fuzzy Inference System
• 2 Research Methods
• 3 Study
• 4 Implementation
• 5 The Results Obtained
• Model of Circuits of Anti-repeat Relays of Train Routes
• 3 Results and Discussion
• Brief Introduction to Type-3 Fuzzy Rules
• 3 Comparative Analysis Between Type-1, Type-2 and Type-3 Fuzzy Rules
• Improved System of Remote Monitoring, Control and Diagnosis of the State of Oil Raw Materials in the Process of Its Storage
• 2 Technical Results from the Implementation of the System.
• 2.1 Adaptive System for Remote Monitoring, Control and Diagnostics
• 3 Defuzzification
• Design of Intelligent Greenhouse Environment Monitoring and Control System Based on Qt
• 2 Overall System Design
• 3 System Hardware Part Design
• 3.1 Host Controller
• 3.2 Lower Level Controller
• 3.3 Sensors
• 4 System Software Part Design
• 4.1 Data Collection and Storage
• 4.2 Feedback Control
• 4.3 Data Display
• 5 System Test
• Algorithms for Stable Compensation of Unmeasurable Perturbations in Control Systems for Dynamic Objects
• 2 Problem Statement
• 3 Regularization Algorithms for Solving Systems of Linear Algebraic Equations
• Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic)
• 2 Creation of Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects
• Decision Making on Job Selection Under Risk by Using Type-2 Fuzzy Logic
• 3 Statement of the Problem
• 4 Solution of the Problem
• Methodology for Building a Medical Expert System for Disease Diagnosis
• 2 Analysis of the Characteristics of the Decision Tree
• 3 Organization of the Database and Software Implementation of the Algorithm
• Determination of Connection Between Fractal Dimensions and Fuzzy Modeling
• The Effect of Locus of Control and Thinking Style on Impulse Buying Behaviour from the Perspectives on Gender Differences
• 2 Literature Review.
• 2.1 Locus of Control
• 2.2 Thinking Style
• 2.3 Impulse Buying Behaviour
• 3 Methodology
• 3.1 Data Analysis
• 4.1 Preliminaries
• 5 Solution of the Problem
• Study of Decentralized Resource Allocation System Under Partial Uncertainty
• 2 Analysis of the Decentralized Energy Distribution System
• 3 Application of Approximate Methods to Optimize Resource Allocation
• 4 Formalization of the Distribution Problem in a Fuzzy Form
• 5 Evaluation of Effectiveness
• Using Intelligent System for Diagnosis of Chronic Hepatitis B
• 2 Intelligent Systems
• 3 Methodology of the Problem
• 4 Intelligent System Design
• Applying Multi-layer Perceptron Neural Network to Predict Wind Speed in Lebanon
• 2 Material and Methods
• 2.1 Study Area and Data
• 2.2 Multi-Layer Perceptron Neural Network (MLPNN)
• 2.3 Prediction of Wind Speed Prediction with Selected Inputs
• 2.4 Statistical Indices
• 3.1 Data Characteristics
• 3.2 Evaluate the Influence of Input Variables
• Intelligent Systems Applications in Gastronomy
• 3 Literary Research
• 3.1 Information Technologies
• 3.2 Intelligent Systems Usage Areas
• 3.3 Hardware and Software
• 3.4 Intelligent Systems and Fuzzy Logic
• Application of Artificial Neural Network to Improve DRASTIC-Based Groundwater Vulnerability Assessment
• 2.1 Introduction of Study Area
• 2.2 DRASTIC Model
• 2.3 Artificial Neural Network
• 3 Validation
• Prediction of Dynamic Viscosity of Biodiesel Using Various Artificial Neural Network Methods, Response Surface Methodology, and Multiple Linear Regressions.

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ISBN

3-031-51521-8

Doi

• 10.1007/978-3-031-51521-7

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