Details

Subject(s)

• Computer networks—Congresses [Browse]
• Telecommunication—Congresses [Browse]

Editor

• Dzitac, Simona [Browse]
• Dzitac, Simona [Browse]
• Dzitac, Domnica [Browse]
• Dzitac, Domnica [Browse]
• Filip, Florin Gheorghe [Browse]
• Filip, Florin Gheorghe [Browse]
• Kacprzyk, Janusz [Browse]
• Kacprzyk, Janusz [Browse]
• Manolescu, Misu-Jan [Browse]
• Manolescu, Misu-Jan [Browse]
• Oros, Horea [Browse]
• Oros, Horea [Browse]

Series

• Advances in intelligent systems and computing. [More in this series]
• Advances in Intelligent Systems and Computing

Summary note

The book contains 37 papers presented at the ninth edition of the International Conference of Computers, Communications and Control--ICCCC-2022 held in Oradea and Bile Felix, Romania. A balanced selection of both methodological and application-oriented papers has been made to reflect several recent worldwide trends and results. The book is organized into five sections: a) integrated solutions in computer-based control, b) advanced control systems integrating computers and communications, c) soft computing including fuzzy system approach, d) decision making and support systems, and e) trustworthy and green design. The study of the papers contained in the book is useful for researchers, consultants, and postgraduate students in computer science and design, applied informatics, control systems, and industrial engineering. The book is also used as auxiliary material for student-level courses such as artificial intelligence, computational intelligence, and decision support systems.

Source of description

Description based on print version record.

Contents

• Intro
• Preface
• Contents
• Integrated Solutions in Computer-Based Control
• Automatic System Based on Riesz MV-algebras, for Predictive Maintenance of Bearings of Industrial Equipment Using Temperature Sensors
• 1 Introduction
• 2 Materials and Methods
• 2.1 Autonomous Systems
• 2.2 Mathematic Fundamentals Used in IoT Signal Processing
• 2.3 Automatic System Based on Riesz MV-algebras, for PrM of Bearings of Industrial Equipment Using Temperature Sensors
• 3 Results
• 4 Discussion
• 5 Conclusions
• References
• Smart Contracts: A Valuable Technology in ERP e-Commerce Systems and for Customer Experience
• 2 Background
• 2.1 Empirical Regularities on National and International e-Commerce Trends
• 2.2 Correlation Between SCM and Customer Satisfaction on Regular ERP Systems
• 3 An Empirical Strategy for Building Client's Trust by Implementing Smart Contracts
• 3.1 A Theoretical Blockchain Model for ERP System Benefits
• 3.2 Proposed Model for e-Commerce ERP System
• 3.3 Blockchain as a Fake Reviews Solution
• 4 The Effects of Smart Contracts and ERP Performance Evaluations
• 5 Conclusions and Future Research
• A Nursing Mobile Robot for COVID19 Patients Using a RPI and Mobile Device
• 2 The Mobile Robot's Description
• 2.1 The Electromechanical System
• 2.2 Electronic System
• 2.3 Control Systems
• 2.4 Remote Control and Teleoperation
• 2.5 Support and Service Tray
• 3 Evaluations and Results
• 3.1 Powertrain
• 3.2 Teleoperation
• 4 Conclusion
• Electric Vehicles Between Recycling and Sustainable Development - @.ro
• 2 Literature Review
• 3 Evolutionary Background of Some Electric Vehicle Conversion Projects
• 4 Conversion into an Electric Vehicle of the Historical Romanian Vehicle ARO
• References.
• Conversion of a Hybrid Flexible Manufacturing Cell to Industry 4.0
• 2 The Flexible Manufacturing Cell
• 3 The Hybrid Flexible Manufacturing Cell
• 4 Converting Hybrid Flexible Manufacturing Cell
• 5 Evaluations
• 6 Conclusion
• A New Way of Collecting Traffic Data Inside a Smart City Based on IoT Devices and Communication Protocols Designed for Preserving Perfect Anonymity
• 1 Motivation, Terminology and Literature Review
• 1.1 Anonymity vs. Privacy
• 1.2 Our Contribution in the Context of the Literature Review
• 2 Proposed System
• 2.1 Terminal, Network and Central Control/Storage Devices, and the Events on Them
• 2.2 Making the Effort of Intrusive PAU- and ATU-Listeners Useless
• 2.3 ATU-PAU Inner Communication Protocol Layers
• 2.4 MAC and LLC Data-Link Layers
• 2.5 MAC Address Refresh on the ATUs
• 2.6 Central Control and Storage Unit - CCSU
• 2.7 Avoiding (Fake) Data Injection from Intruders Mimicking ATUs
• 3 The Proposed System as an Abstract Machine
• 4 Conclusion and Future Work
• What UAE Software Students Think About Software Testing: A Replicated Study
• 2 Methodology
• 3 Findings
• 3.1 The PROs of a Software Testing Career
• 3.2 The CONs of a Software Testing Career
• 4 Threats to Validity
• 5 Discussions and Implications
• 6 Conclusions
• Appendix A - Survey Questions
• The Impact of COVID-19 on the Air Transportation Network
• 2 Data Description
• 2.1 Data Preparation
• 2.2 Descriptive Statistics
• 3 Network Analysis
• 3.1 Network Characteristics
• 3.2 Network Similarity
• 3.3 Nodes Connectivity
• 3.4 Nodes Centrality
• Advanced Control Systems Integrating Computers and Communications
• Linear and Nonlinear Observers Developed for Direct Current Electric Drive Systems.
• 2 Electric Drive System with DC Motor
• 2.1 Mathematical Model of the EDS with DC Motor
• 2.2 Numerical Values of the EDS with DC Motor
• 3 Linear and Nonlinear Observers
• 3.1 Extended Luenberger State Observer (ELSO)
• 3.2 Kalman Filter Observer (KFO)
• 3.3 Extended Kalman Filter Observer (EKFO)
• 3.4 Sliding Mode Observer (SMO)
• 4 Simulation Results
• Energy-Efficient Wireless Sensor Networks for Greenhouse Management
• 2 Electrical Quantities Monitoring Device
• 4 Conclusions
• Digitization of the Characteristic Parameters of a Greenhouse in Order to Streamline Energy Consumption
• 2 Digitization of the Characteristic Parameters of a Greenhouse - Data Collection
• 3 Streamline Energy Consumption
• Planning the Electricity Transactions Based on AI
• 2 Analysis and Selection of Primary Data for Forecasting
• 3 Proposed Algorithm
• 3.1 Applied Method
• 3.2 Neural Networks with Self-organization of Kohonen-Type
• 4 AI and Fuzzy Logic in the Forecast of Energy Consumption
• 5 Obtained Results
• Integrated Solutions and Computerized Human Gesture Control
• 2 Methods Used in Gesture Recognition
• 2.1 RGB-Based Classifiers
• 2.2 Skeleton-Based Classifiers
• 3 Adopted Method
• 4 Used Architectures and Models in the Proposed Model
• 4.1 Inputs and Outputs
• 4.2 Model of 3D-Convolutions
• Research on the Storage of Integrated Pipe Corridor Monitoring Data Based on Blockchain Technology
• 2 Analysis of the Monitoring Data Storage Architecture of the Integrated Pipe Corridor
• 3 Integrated Pipe Corridor Monitoring Data Storage Model.
• 3.1 Framework Construction for Monitoring Data Storage Nodes in Integrated Pipe Corridors
• 3.2 Integrated Corridor Monitoring Data Storage Mechanism
• 4 Security Analysis of Monitoring Data Storage Models for Integrated Pipe Corridors
• 5 Conclusion
• Review of Trends in Manufacturing Systems Based on Industry 4.0: The Opportunities
• 2 Industry 4.0 Concept on Manufacturing Processes
• 3 The Flexible Manufacturing Cell
• 4 Industry 4.0 Automation
• 5 Trends on Manufacturing
• 5.1 Automation for All
• 5.2 Supply Chain Technology
• 5.3 The Internet of Things (IoT)
• 5.4 Autonomous Mobile Robots (AMR) Drons.
• 5.5 Collaborative Robots (Cobots)
• 5.6 Workforce Attraction, Retention, and Training
• 5.7 Connectivity
• 5.8 Additive Manufacturing
• 5.9 Enterprise Resource Planning ERP
• 5.10 Artificial Intelligence and Machine Learning
• 5.11 Predictive Maintenance
• 6 Opportunities for Developing Countries
• 7 Conclusion
• Soft Computing Including Fuzzy System Approach
• Non-parametric Rank Correlation Trained Single-Hidden Layer Feedforward Neural Networks for Medical Data
• 2 Materials
• 2.1 RNA and METAVIR F Datasets
• 2.2 State-of-the-Art Machine Learning Algorithm Applied on These Datasets
• 3 Materials
• 3.1 Non-parametric SLFNs
• 4 Results
• 5 Results
• Nonstandard Fuzzy Sets: A General View
• 2 Types of Fuzzy Sets
• 2.1 Type-1 Fuzzy Sets
• 2.2 L-Fuzzy Sets
• 2.3 Type-n Fuzzy Sets
• 2.4 Intuitionistic Fuzzy Sets
• 2.5 Fuzzy Multisets
• 2.6 Interval Valued Intuitionistic Fuzzy Sets
• 2.7 Fuzzy Rough Sets
• 2.8 Bipolar Fuzzy Sets
• 2.9 Shadowed Sets
• 2.10 Neutrosophic Sets
• 2.11 Complex Fuzzy Sets
• 2.12 Hesitant Fuzzy Sets
• 2.13 Pythagorean Fuzzy Sets.
• 3 Some Remarks on Pythagorean Fuzzy Sets
• 4 Some Recent Applications
• Extension-Principle-Based Approach to Least Square Fuzzy Linear Regression
• 2 Notation and Terminology
• 2.1 Fuzzy Sets and Fuzzy Numbers
• 2.2 The Extension Principle
• 2.3 Least Square Method for Linear Regression
• 2.4 Least Square Method for Fuzzy Linear Regression
• 2.5 Performance Measures
• 3 Our Approach
• 4 Computation Results
• 4.1 The Case of Crisp Observed Inputs and Fuzzy observed Outputs
• 4.2 The Case of Fuzzy Observed Inputs and Outputs
• 5 Conclusions and Future Works
• Fuzzy Logic Applied in Hierarchical Secondary Regulation Voltage-Reactive Power
• 2 Material and Methods
• 2.1 Estimation of Capacity and Appeared Problems in Electricity Transmission Lines
• 2.2 Hierarchical Structure of the Regulation Voltage - Reactive Power
• 3 Fuzzy Logic in Secondary Voltage-Reactive Power Regulation
• 4 Simulation of Secondary Voltage-Reactive Power Regulation
• Modeling with Fuzzy Logic the Impact of Overhead Power Lines on the Environment
• 2 Materials and Methods
• 2.1 Characteristics of the Overhead Power Lines
• 2.2 Environmental Impact Assessment
• 2.3 Coefficients for Quantifying Future and Uncertain Events
• 3 Fuzzy Logic Applied in the Analysis of the Impact of Air Lines on the Environment
• Fuzzy Fractal: An Information Entropy View
• 2 Preliminaries
• 2.1 Fuzzy Sets
• 2.2 Existing Fuzzy Measures
• 3 Measure IFS in a Dempster-Shafer Theory View
• 3.1 Discuss Previous IFS Measures
• 3.2 Modeling IFS From a Dempster-Shafer View
• 4 Fuzzy Fractal: In an Information Entropy View
• 4.1 Information Dimension
• 4.2 Fuzzy Information Fractal Dimension.
• 5 Conclusion.

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ISBN

3-031-16684-1

OCLC

1347028384

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