Soft Computing Applications

Name: Soft Computing Applications | Proceedings of the 8th International Workshop Soft Computing Applications (SOFA 2018), Vol. I
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Proceedings of the 8th International Workshop Soft Computing Applications (SOFA 2018), Vol. I

Valentina Emilia Balas Lakhmi C. Jain Marius Mircea Balas Shahnaz N. Shahbazova(Editor)

Springer (Publisher)

Published on 14. August 2020

XXXI, 438 pages

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978-3-030-51992-6 (ISBN)

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Content

Intro
Preface
Invited Speakers
DSS, Classifications, Trends and Enabling Modern Information and Communication Technologies
Distorted Statistics based on Choquet Calculus
Overview of QUasi-Affine TRansformation Evolutionary (QUATRE) Algorithm
Nature-Inspired Optimization of Type-2 Fuzzy Logic Controllers
Seeing Is Believing
Contents
Short CVs of Guest Editors
I Soft Computing and Conventional Techniques in Power Engineering Methods and Applications in Electrical Engineering I
Daily Load Curve Forecasting. Comparative Analysis: Conventional vs. Unconventional Methods
Abstract
1 Introduction
2 Developed Algorithms
2.1 Artificial Neural Networks (ANN)
2.2 Multiple Linear Regression (MLR)
2.3 Curve Fitting (CF)
2.4 Decision Trees (DT)
3 Numerical Results. Discussions
3.1 Forecast Performed for 2017 Year
3.2 Forecast Performed for 2018 Year
3.3 Comparative Analysis for Several Forecasts
4 Conclusion
Acknowledgment
References
LoRaWAN Based Airport Runway Lights Monitoring System
Abstract
1 Introduction
2 LoRa Technology
3 Case Study and Results
4 Conclusions
Acknowledgment
References
The Enhanced Crow Search Algorithm for Fuel-Cost Function Parameters Assessment of the Cogeneration Units from Thermal Power Plants
Abstract
1 Introduction
2 Estimating the Fuel-Cost Function Parameters
3 The Crow Search Algorithm (CS)
4 The Enhanced CS Algorithm (ECS)
5 Case Studies and Results
6 Conclusions
References
Modelling a Photovoltaic Power Station
Abstract
1 Introduction
2 Simulation of the Photovoltaic Panels Using MatLAB Software
2.1 Simulink: Modelling of a PV Solar Cell
2.2 The Intensity of the Induced Electrical Current by the Sun
2.3 Dependence on the Temperature
3 The Simulation of a PV Power Station
4 Conclusions
References
Identification of Fault Locations on Tree Structure Systems
1 Introduction
2 Description of the Troubleshooting System Currently Used by the Power Suppliers
3 Mathematical Background of the Proposed Method
4 Fault Probability Data Bank
5 SGFI Algorithm
5.1 Localization of the Fault Zone (Procedure 1)
5.2 Fault Position Localization in the Fault Zone (Procedure 2)
5.3 Result of the Proposed Algorithm
5.4 Simulation Analysis of the SGFI Algorithm
6 Conclusions
References
Probability Distribution Functions for Short-Term Wind Power Forecasting
1 Introduction
2 Wind Probability Distribution Functions
2.1 Weibull Distribution
2.2 Lindley Distribution for Random Variables
2.3 Joint Probability Distribution Function for Wind Forecasting
3 Short-Term Wind Power Forecasting Using SVR and ANN
3.1 Wind Power Forecasting Using Support Vector Regressors
3.2 Wind Power Forecasting Using ANN
4 Conclusion
References
I Modeling, Algorithms. Optimization, Reliability and Applications
Feedback Seminar Analysis - An Introductory Approach from an Intelligent Perspective
Abstract
1 Introduction
2 State of the Art
3 Computational Experiments Description
3.1 Data Set Descriptions
3.2 Preprocessing Data Set
4 Models Learning Used as Classification Methods
4.1 Feature Engineering
4.2 Selecting the Machine Learning Model
5 Evaluation of the Classification Models
5.1 Metrics Used for Evaluation
5.2 Results and Discussion
6 Conclusions and Future Directions
References
Flexible Fuzzy Numbers for Likert Scale-Based Evaluations
1 Introduction
2 Flexible Fuzzy Numbers
2.1 The Kappa Function
2.2 Representing Flexible Fuzzy Numbers
2.3 Some Arithmetic Operations
2.4 Alternative Notations
2.5 Extended Flexible Fuzzy Numbers and Approximate Operations
3 A Demonstrative Example
4 Conclusions
References
Inventory Optimization Model Parameter Search Speed-Up Through Similarity Reduction
1 Introduction
2 Automated Inventory Control
2.1 Problem Description
2.2 Verification of Automated Inventory Control
2.3 Best Setting Search
3 Approximation of the Global Optimum
3.1 Recurrence Quantitative Analysis
3.2 k - ball Reduction
3.3 Clustering
3.4 Partitioning Around Medoids
3.5 Clustering Computation and k-ball
4 Results
5 Conclusion
References
On Posets for Reliability: How Fine Can They Be?
1 Introduction
2 Preliminaries
3 A Poset for the Reliability Polynomials of Minimal Networks
3.1 Reliability Polynomials
3.2 Partial Orders for Compositions
3.3 An Illustrative Example
4 Other Posets for Reliability
4.1 Threshold Points
4.2 Series-and-parallel
4.3 Consecutive Networks
5 Conclusions
References
Comparison of Neural Network Models Applied to Human Recognition
Abstract
1 Introduction
2 Basic Concepts
2.1 Artificial Neural Networks
2.2 Ensemble Neural Networks
2.3 Modular Neural Network
2.4 Granular Computing
3 General Descriptions of Architectures and Experiments
3.1 Description of the Experiments
3.2 Description of the Neural Networks
3.3 Iris Database
4 Experimental Results
4.1 Artificial Neural Networks Results
4.2 Ensemble Neural Networks Results
4.3 Modular Neural Networks Results
4.4 Comparison Results
5 Conclusions
References
I Machine Learning, NLP and Applications
A Genetic Deep Learning Model for Electrophysiological Soft Robotics
Abstract
1 Introduction
2 Training of Deep Autoencoder
3 Methodology Adapted for Training Deep Autoencoder
4 Computational Simulation and Results
5 Concluding Remarks and Future Plans
Acknowledgment
References
Blockchain. Today Applicability and Implications
Abstract
1 Introduction
2 Blockchain Components, Actors and Principles
3 How Blockchain Works
4 Applicability and Implications
5 Conclusions and Future Works
References
Integrating Technology in Training: System Dynamic-Based Model Considerations Regarding Smart Training and Its Relationship with Educational Components
Abstract
1 Introduction
2 Previous Work and Literature
3 Statistical Data Regarding Training and IT
4 Implementation and Discussions
5 The Construction of the Model
5.1 The Modelling Purpose and Objectives
5.2 The Determination of the Key Parameters and the Model Boundaries
5.3 The Creation of the Mechanisms and the Feedback Loops
6 Simulation
7 Conclusions and Future Work
References
A Survey on Nonlinear Second-Order Diffusion-Based Techniques for Additive Denoising
Abstract
1 Introduction
2 Second-Order PDE-Based Image Restoration Models
3 Variational Additive Noise Removal Approaches
4 Other Discussions
5 Conclusions
Acknowledgement
References
Cathedral and Indian Mughal Monument Recognition Using Tensorflow
1 Introduction
2 Related Work
3 Proposed Work
3.1 Dataset and Image Features
3.2 Convolutional Neural Network
4 Experimental Results and Analysis
5 Conclusion
References
DDoS Attack Prevention Protocol Through Support Vector Machine and Fuzzy Clustering Mechanism on Traffic Flow with Harmonic Homogeneity Validation Technique
1 Introduction
2 Related Work
3 Background
3.1 Mechanism of Support Vector Machine
4 Methodology
5 System Model
5.1 Proposal Phase-I
5.2 Traffic Request Pattern Detection and Action (TH-value Determination algorithm)
5.3 Threshold Value (T-value) Estimation Mechanism
5.4 Phase-II
6 Result and Analysis
6.1 Performance Analysis
7 Conclusion
References
I Business Process Management
Analysis of Interrelationship for Lean and Sustainability Principles and Implications
Abstract
1 Introduction
2 Lean and Sustainability Principles
3 Interrelations Analysis
3.1 Literature Review
3.2 Interrelations Visualization with Word Cloud Tools/Generators
3.3 Discussions
4 Limitations of the Research and Future Work
5 Conclusions
Acknowledgment
References
Adjusting the Information Flow on Time to Perform Bicycles Daily Maintenance
Abstract
1 Introduction
2 Intervention Requests Centralization to Repair the Bicycles
3 Obtaining the Technical Inspection Information on Time to Receive the Optimal Public Procurement Price
3.1 Public Procurement Process - PPS Description
3.2 Estimation Time for PPS Documents and Obtain the New Piece
4 Conclusions
References
A Survey of Cybersecurity Risk Management Frameworks
Abstract
1 Introduction
2 Overview of Cybersecurity Risk Management Frameworks, Standards, Methods, and Methodologies
2.1 Cybersecurity Risk Management Frameworks
2.2 Cybersecurity Risk Management Standards, Methods, and Methodologies
2.2.1 Cybersecurity Risk Management Standards
2.2.2 Cybersecurity Risk Management Methods and Methodologies
2.2.2 Cybersecurity Risk Management Methods and Methodologies
3 Evaluation of Cybersecurity Risk Management Frameworks
4 Conclusions
References
Remote Wind Energy Conversion System
Abstract
1 Introduction
2 Wind Energy Conversion System
3 SCADA System
4 Remote SCADA Access
5 Experimental Results
6 Conclusions
References
I Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Smart City
Software for Integral Security
Abstract
1 Introduction
2 Software Description
2.1 The Functionality of the Software
2.2 The Program Structure
3 Evaluation of the Software Performance
4 Conclusions
References
Real Time Urban Traffic Data Pinpointing Most Important Crossroads
1 Introduction and Background
2 State of the Art and Previous Work
2.1 Background on Network Congestion Analysis
3 Methodology and Results
3.1 The Data-Set
3.2 Intersection Congestion Metric
3.3 Complex Network Analysis of the Road Network
3.4 Correlating Congestion with Betweenness
4 Discussions and Conclusions
References
Priority Levels and Danger in Usage of Artificial Intelligence in the World of Autonomous Vehicle
Abstract
1 Introduction
2 Conditions of Autonomous Vehicles
2.1 Categories
2.2 Standards and Protocols
2.3 Senzors
2.4 Information Security at Communication Between Vehicles
3 Priority Levels in Autonomous Driving (KISS Priority)
4 Manchurian AI - Danger in Usage of Artificial Intelligence in the World of Autonomous Vehicle
5 Autonomous of State Leader's and Military Vehicles
6 Conclusion
Acknowledgements
References
Mobile Robot Platform for Studying Sensor Fusion Localization Algorithms
Abstract
1 Introduction
2 Types of Sensors for Relative Positioning of the Robot Platform
2.1 Rotary Position Encoders
2.2 Inertial Accelerometer and Gyroscope
3 Localization Methods
3.1 Odometry
3.2 Inertial Localization
4 Fusing Sensor Readings with Complementary Filtering
5 Robot Platform for Acquisition
6 Results
7 Conclusion
References
I Fuzzy Applications, Theory, Expert Systems, Fuzzy and Control
Design of Intelligent Stabilizing Controller and Payload Estimator for the Electromagnetic Levitation System: DOBFLC Approach
Abstract
1 Introduction
2 Electromagnetic Levitation System (EMLS)
3 Disturbance Observer Based Fuzzy Logic Control (DOBFLC)
3.1 Fuzzy Logic Controller (FLC)
3.2 Disturbance Observer and Corrector
4 Simulation Results
5 Conclusion
Acknowledgments
References
On the Concept of Fuzzy Graphs for Some Networks
Abstract
1 Introduction
2 Fuzziness in Graphs
3 Vertex Coloring of Fuzzy Graph
4 Intuitionistic and Neutrosophic Fuzzy Graph Structure
5 Fuzzy Graph for Telecommunication
5.1 Churn Speculation
6 Graphs and Fuzzy Graphs for Brain Networks
6.1 Some Interesting Facts About Biological Neurons
6.2 Neural Network
7 Limitations and Further Scope
8 Conclusion
Acknowledgements
References
Fuzzy Logic in Predictive Harmonic Systems
Abstract
1 Introduction
2 Model Fuzzy Harmonic Systems and Fuzzy Patterns
3 Tests, Statistics and Performance/Efficiency Metrics
4 Findings from the Samplings
5 Conclusions and Future Work
References
Particle Swarm Optimization Ear Identification System
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusions and Future Directions
Acknowledgement
References
Puzzle Learning Trail Generation Using Learning Blocks
Abstract
1 Introduction
2 Model Description
3 Implementation and Results
4 Conclusions
References
Design of an Extended Self-tuning Adaptive Controller
Abstract
1 Introduction
2 The Design of the Self-tuning Adaptive Control System
3 The Design of the Extended Adaptive Controller. Case Studies
4 Conclusions
References
Assessing the Quality of Bread by Fuzzy Weights of Sensory Attributes
Abstract
1 Introduction
2 Scoring the Bread Samples
3 Assessing the Overall Quality
4 Fuzzy Weighted Summing
5 Discussion
References
Catalan Numbers Associated to Integer Partitions and the Super-Exponential
1 Introduction
2 Definitions, Notations and Preliminaries
2.1 Recursive Generation of All Integer Partitions
2.2 Algorithm for the Recursive Generation of Integer Partitions
3 Functions Defined on Partitions
4 Multiplicative and Quasi-Multiplicative Functions
References
Emotional Control of Wideband Mobile Communication
Abstract
1 Introduction
1.1 Wideband Mobile Communication Systems
1.2 Modeling of Wideband Communication
1.3 Elastic Power Control
2 Using Emotional Reactions as Feedback
2.1 Introduction
2.2 Extracting Signal-to-Noise Ratios from Replicas
2.3 Collecting of Emotional Replicas from Users of Mobile Communication
3 Automata that Implement the Nash Party
4 Conclusion
Acknowledgments
References
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