Soft Computing Applications

Proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016) , Volume 1
 
 
Springer (Verlag)
  • erschienen am 31. August 2017
  • |
  • XXXI, 559 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-319-62521-8 (ISBN)
 

These two volumes constitute the Proceedings of the 7th International Workshop on Soft Computing Applications (SOFA 2016), held on 24-26 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad.

The soft computing concept was introduced by Lotfi Zadeh in 1991 and serves to highli

ght the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and lower costs. Soft computing facilitates the combined use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing, leading to the concept of hybrid intelligent systems. The rapid emergence of new tools and applications calls for a synergy of scientific and technological disciplines in order to reveal the great potential of soft computing in all domains.

The conference papers included in these proceedings, published post-conference, were grouped into the following areas of research:

Methods and Applications in Electrical Engineering

Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks

Biomedical Applications

Image, Text and Signal Processing

Machine Learning and Applications

&nb

sp; Business Process Management

Fuzzy Applications, Theory and Fuzzy Control

Computational Intelligence in Education

Soft Computing & Fuzzy Logic i

n Biometrics (SCFLB)

Soft Computing Algorithms Applied in Economy, Industry and Communication Technology

Modelling and Applications in Textiles

The book helps to disseminate advances in selected active research directions in the field of soft computing, along with current issues and applications of related topics. As such, it provides valuable information for professors, researchers and graduate students in the area of soft computing techniques and applications.

  • Global Poetics
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  • Literatur- und kulturwissenschaftliche Studien zur Globalisierung
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  • 633
1st ed. 2018
  • Englisch
  • Cham
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  • Schweiz
Springer International Publishing
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  • 290 s/w Abbildungen
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  • 290 schwarz-weiße Abbildungen, Bibliographie
  • 54,10 MB
978-3-319-62521-8 (9783319625218)
3319625217 (3319625217)
10.1007/978-3-319-62521-8
weitere Ausgaben werden ermittelt
  • Intro
  • Preface
  • Keynote Presentations
  • Introduction to Choquet Calculus
  • Biography
  • Emotional Facial Expressions: Communicative Displays or Psychological Universals?
  • Biography
  • Soft Data Analysis Based on Cluster Scaling
  • Biography
  • Why the Brain Can and the Computer Can't Biology Versus Silicon
  • Biography
  • Online Course: A Modern Trend of Teaching and Learning
  • Biography
  • Complex Dynamical System: Analysis and Control via Linear Matrix Inequality (LMI) Techniques
  • Biography
  • Theory and Practice of Business Intelligence
  • Biography
  • Round Table
  • The Theory of Fuzzy Sets and Its Real-World Applications
  • Biography
  • Contents
  • Methods and Applications in Electrical Engineering
  • Digital Sunshade Using Head-up Display
  • Abstract
  • 1 Introduction
  • 2 Previous Works
  • 3 Digital Sunshade - Structure
  • 4 System Deployment - Functionality
  • 5 Conclusions
  • References
  • Basic Expert System
  • Abstract
  • 1 Introduction
  • 2 On the Expert Systems
  • 3 BES, the Basic Expert System
  • 4 The BES Tomato Disorder Diagnostic Expert System
  • 5 Discussion
  • Acknowledgement
  • References
  • Expert System for Predictive Diagnosis (1) Principles and Knowledge Base
  • 1 Introduction
  • 2 The Issue of Underground Power Cables Monitoring
  • 2.1 Sustainable Development and Technical Achievements
  • 2.2 Underground Power Cable as Technical System
  • 2.3 Monitoring the Faults in Underground Power Cables
  • 3 Implementation Details Regarding the Expert System
  • 3.1 Describing the Knowledge
  • 3.2 Principle of Using the Knowledge
  • 3.3 Implementing the Working Algorithm
  • 4 Concluding Remarks
  • References
  • Expert System for Predictive Diagnosis (2) Implementing, Testing, Using
  • 1 Introduction
  • 2 Details on Specification and Building a Man-Machine Interface for an Expert System
  • 2.1 General Functions
  • 2.2 Building the Interface of Expert System
  • 3 Testing and Using the Expert System
  • 3.1 Organizing of Testing
  • 3.2 Test Results
  • 4 Testing and Using the Expert System
  • 5 Concluding Remarks
  • References
  • GA Based Multi-stage Transmission Network Expansion Planning
  • Abstract
  • 1 Introduction
  • 2 Dynamic Network Expansion Planning
  • 3 Genetic Algorithm (GA) Based TNEP
  • 4 Software Tool
  • 5 Case Study
  • 6 Results and Discussions
  • 6.1 Base Case - Year 2015
  • 6.2 Maximum Expansion Solution - Year 2035
  • 6.3 Optimal Expansion Solution
  • 6.4 Comments on the Expansion Solution
  • 7 Conclusions
  • References
  • Epidemic Algorithm Based Optimal Power Flow in Electric Grids
  • 1 Introduction
  • 2 Problem Formulation
  • 3 Autonomous Gossiping
  • 4 Krylov's Method Based Distributed Optimization
  • 4.1 Langarangian of the DCOPF Problem
  • 4.2 Arnoldi's Method
  • 5 Results
  • 5.1 3- Bus Case Study
  • 6 Conclusions
  • References
  • Issues Regarding the Tuning of a Minimum Variance Adaptive Controller
  • Abstract
  • 1 Introduction
  • 2 The Tuning of the Controller Parameters
  • 3 Conclusions
  • Acknowledgments
  • References
  • Adaptive Controller for Networked Control Systems Subjected to Random Communication Delays
  • 1 Introduction
  • 2 Problem Formulation
  • 3 Estimation of Delay k
  • 4 Adaptive Controller Design
  • 5 Results and Discussions
  • 5.1 Delay Estimation from Experiments
  • 5.2 Example 1
  • 5.3 Example 2
  • 6 Conclusion
  • References
  • Aspects Regarding Risk Assessment of Human Body Exposure in Electric and Magnetic Fields
  • Abstract
  • 1 Introduction
  • 2 Probabilistic Methods from Risks Assessment
  • 3 Risk Assessment Generated to Humans Exposured in Electromagnetic Field Generated by Power Grids
  • 4 Conclusions
  • References
  • A Communication Viewpoints of Distributed Energy Resource
  • 1 Introduction
  • 2 Smart Grid Conceptual Framework
  • 3 An Overview of Distributed Energy Resources System
  • 3.1 DER Applications
  • 3.2 Der Communication Architecture
  • 4 Analysis of IEC 61850 Communication Protocols for DER System
  • 5 Conclusion
  • References
  • Cyber-Physical Energy Systems Approach for Engineering Power System State Estimation in Smart Grids
  • Abstract
  • 1 Introduction
  • 2 Power System State Estimation
  • 3 CPES Model
  • 4 Case Study
  • 5 Conclusions
  • Acknowledgement
  • References
  • Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks
  • About the Applications of the Similarity of Websites Regarding HTML-Based Webpages
  • Abstract
  • 1 Introduction
  • 2 Preliminary Notions
  • 3 The Choice of Files for the Calculus of the Similarity Between Two Webpages
  • 4 The Approximate Calculus of the Degree of Similarity Between Two Webpages
  • 5 Implementation
  • 6 Conclusions
  • References
  • Energy Efficient Cache Node Placement Using Genetic Algorithm with Probabilistic Delta Consistency Using Flexible Combination of Push and Pull Algorithm for Wireless Sensor Networks
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 2.1 Genetic Algorithm
  • 2.2 Cache Consistency
  • 3 Proposed Algorithm
  • 3.1 Cache Node Placement Using Genetic Algorithm - Methodology and Network Model
  • 3.2 Cache Consistency Using Flexible Combination of Push and Pull (FCPP)
  • 4 Simulation and Results
  • 4.1 GA Simulation and Results
  • 4.2 FCPP Simulation and Results
  • 5 Conclusions and Future Work
  • Conflict of interest
  • References
  • A Fast JPEG2000 Based Crypto-Compression Algorithm: Application to the Security for Transmission of Medical Images
  • 1 Introduction
  • 2 Background
  • 2.1 The Asymmetric Encryption Algorithm: RSA
  • 2.2 JPEG2000
  • 3 The Fast Crypto-Compression
  • 3.1 Principle of Our Approach
  • 3.2 Encryption Algorithm
  • 3.3 Security
  • 3.4 Advantages of Our Scheme
  • 4 Conclusion
  • References
  • IoThings: A Platform for Building up the Internet of Things
  • Abstract
  • 1 Introduction
  • 2 An Overview of the Used Concepts
  • 2.1 Internet of Things (IoT)
  • 2.2 Context-Aware Computing
  • 3 IoThings - Software Level Concepts
  • 3.1 Software Representation of a Thing
  • 3.2 Software Representation of a Context
  • 4 IoThings Architecture
  • 5 Conclusions
  • Acknowledgments
  • References
  • Imperialist Competition Based Clustering Algorithm to Improve the Lifetime of Wireless Sensor Network
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 2.1 Low-Energy Adaptive Clustering Hierarchy (LEACH)
  • 2.2 Stable Election Protocol (SEP)
  • 2.3 Distributed Energy Efficiency Clustering (DEEC)
  • 3 Imperialist Competition Algorithm (ICA)
  • 4 The Proposed Algorithm
  • 4.1 Setup Phase
  • 4.2 CH Selection Phase
  • 4.3 Steady up Phase
  • 5 Simulation Result
  • 6 Conclusion
  • References
  • Wireless Sensor Networks Relay Node Deployment for Oil Tanks Monitoring
  • 1 Introduction
  • 2 Related Work
  • 3 Oil Tanks Monitoring Problem
  • 4 Algorithms for Solving the Oil Tanks Monitoring Problem
  • 4.1 Ant Colony Optimization
  • 4.2 Greedy Algorithm
  • 4.3 Divided Network Area Algorithm
  • 4.4 Best Path Algorithm
  • 4.5 Adjustable Communication Rang with Best Path Algorithm
  • 5 Numerical Experiments and Discussions
  • 6 Conclusion and Future Work
  • References
  • A Smart Way to Improve the Printing Capability of Operating System
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Problem Statement
  • 4 Results and Discussions
  • 4.1 Proposed Methodology (Boss Algorithm)
  • 4.2 Printing Priority Queue (PPQ)
  • 4.3 Ready Priority Queue (RPQ)
  • 4.4 Join Node (JN)
  • 5 Conclusion and Future Work
  • References
  • A Comparative Study for Ontology and Software Design Patterns
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 2.1 Problem Statement
  • 3 Methodologies
  • 3.1 Design Pattern Template
  • 3.2 Analysis Pattern Templates
  • 3.3 Architecture Pattern Templates
  • 3.4 Data Model Patterns
  • 3.5 Template of Content Ontology Design Patterns
  • 4 Study Analysis and Results
  • 4.1 Comparison of Pattern Templates
  • 4.2 Comparison of Templates of Software Patterns and Content ODPs
  • 4.3 Comparison of Data Model Patterns and Ontology Design Patterns
  • 5 Conclusions
  • 6 Future Works
  • References
  • Biomedical Applications
  • MainIndex Sorting Algorithm
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 2.1 Bubble Sort
  • 2.2 Insertion Sort
  • 2.3 Merge Sort
  • 2.4 Heap Sort
  • 2.5 Quick Sort
  • 3 Problem Statement
  • 4 The Proposed Solution
  • 4.1 MainIndex
  • 4.2 LIndexN
  • 5 Results and Discussion
  • 6 Conclusions
  • References
  • Deep Learning Tools for Human Microbiome Big Data
  • Abstract
  • 1 Introduction
  • 2 Human Microbiome Big Data
  • 3 Enterotypes and Personalized Medicine
  • 4 Classification Using Deep Learning Algorithms
  • 5 Conclusions
  • Acknowledgement
  • References
  • Evaluating the User Experience of a Web Application for Managing Electronic Health Records
  • Abstract
  • 1 Introduction
  • 2 Performing Automated Evaluations
  • 2.1 Evaluating Aesthetics
  • 2.2 Goals, Objects, Methods and Selection Rules
  • 3 Developing a Framework for Automated User Activity Tracking
  • 3.1 Existing Tracking Solutions
  • 3.2 Creating a Custom Framework
  • 3.2.1 Recording Events
  • 3.2.2 Sending the Event Records to the Server
  • 4 Analyzing the Users' Activity
  • 4.1 Heat Maps
  • 4.2 Input Analysis
  • 5 Conclusions
  • References
  • Multi Framing HDR for MRI Brain Images
  • Abstract
  • 1 Introduction
  • 2 High Dynamic Range Imagery
  • 3 Multiple Frame HDR for MRI Brain Images
  • 4 The Segmentation
  • 5 Discussion
  • Acknowledgement
  • References
  • Computer Aided Posture Screening Using the Microsoft Kinect on Professional Computer Users for Malicious Postures
  • Abstract
  • 1 Introduction
  • 2 Posture Screening Method
  • 2.1 The Screening Method
  • 2.2 Tracked Body Points and Measured Values
  • 2.3 Subjective Pain Questionnaire
  • 3 Results
  • 3.1 Posture Evaluation
  • 3.2 Questionar Results
  • 4 Conclusions
  • References
  • IT Complex Solution Supporting Continuity of Care
  • Abstract
  • 1 Introduction
  • 2 System Architecture
  • 3 Modeling the Laboratory Information System
  • 4 Laboratory Information System
  • 5 Using HL7 Clinical Document Architecture for a Standardized Communication
  • 6 Cloud Storage of Laboratory Results
  • 7 Conclusions
  • References
  • The Importance of Quantification of Data in Studies on the Health Effects of Exposure to Electromagnetic Fields Generated by Mobile Base Stations
  • Abstract
  • 1 Introduction
  • 2 Materials and Methods
  • 3 Results
  • 4 Discussion
  • 5 Conclusion
  • Acknowledgement
  • References
  • Graphical Method for Evaluating and Predicting the Human Performance in Real Time
  • Abstract
  • 1 The Necessity of Using an Intuitive Graphical Methods for Evaluating the Human Performance
  • 2 Presentation of Graphical Analysis Method
  • 3 Assessing the Method Errors
  • 4 Conclusions
  • References
  • Tremor Measurement System for Neurological Disorders Screening
  • Abstract
  • 1 Introduction
  • 2 Tremor Measurement Method
  • 3 Healthcare System for Parkinson's Disease
  • 4 Tremor Signal Acquisition
  • 5 Signal Processing and Results
  • 6 Conclusions
  • Acknowledgement
  • References
  • Novel Method for Neurodegenerative Disorders Screening Patients Using Hurst Coefficients on EEG Delta Rhythm
  • Abstract
  • 1 Introduction
  • 2 Medical Database
  • 3 Multiresolution Wavelet Analysis
  • 4 Hurst Coefficient
  • 5 Estimating the Hurst Coefficient Using the Aggregated Variance Method
  • 6 Results
  • 7 Conclusions
  • References
  • Environment Description for Blind People
  • Abstract
  • 1 Introduction
  • 2 The HOLOTECH Model and Prototype
  • 3 Test Set and Results
  • 3.1 Image Acquisition and Feature Extraction
  • 3.2 Classifier Training and Precision Evaluation
  • 4 Conclusions and Future Work
  • References
  • Specialized Software System for Heart Rate Variability Analysis: An Implementation of Nonlinear Graphical Methods
  • Abstract
  • 1 Introduction
  • 2 Methodology
  • 2.1 Detrended Fluctuation Analysis (DFA)
  • 2.2 Rescaled Adjusted Range Statistics Plot (R/S)
  • 2.3 Poincaré Plot
  • 3 Results and Discussion
  • 4 Conclusions
  • References
  • Classifier Ensemble Selection Based on mRMR Algorithm and Diversity Measures: An Application of Medical Data Classification
  • Abstract
  • 1 Introduction
  • 2 The mRMR Method
  • 3 Methodology
  • 4 Proposed Approach
  • 5 Results and Discussion
  • 6 Conclusion
  • References
  • Personal Health Record Management System Using Hadoop Framework: An Application for Smarter Health Care
  • Abstract
  • 1 Introduction
  • 2 Literature Review
  • 3 Hadoop Component Used
  • 4 Cluster Architecture Framework
  • 4.1 Process and Data Flow Methods
  • 4.2 System Configuration
  • 5 Example Analysis
  • 6 Conclusion
  • References
  • Gene-Disease-Food Relation Extraction from Biomedical Database
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Methodologies
  • 3.1 MEDLINE Abstract Selecting and Cleaning
  • 3.2 Morphological Analysis
  • 3.3 Annotation
  • 3.4 Information Extraction
  • 4 The Proposed Approach
  • 5 Experimental Results
  • 6 Conclusions
  • References
  • Cluster Analysis for European Neonatal Jaundice
  • Abstract
  • 1 Introduction
  • 2 Cluster Analysis
  • 2.1 K-Means
  • 2.2 Genetic K-Means
  • 2.3 Bat K-Means
  • 3 Experimental Analysis and Discussion
  • 3.1 Dataset Description
  • 4 Conclusion
  • References
  • Image, Text and Signal Processing
  • Nonlinear Fourth-Order Diffusion-Based Model for Image Denoising
  • Abstract
  • 1 Introduction
  • 2 Nonlinear Fourth-Order PDE-Based Denoising
  • 3 Consistent Numerical Approximation
  • 4 Experiments
  • 5 Conclusions
  • Acknowledgement
  • References
  • On Time-Frequency Image Processing for Change Detection Purposes
  • Abstract
  • 1 Introduction
  • 2 Time-Frequency Transforms
  • 3 Extraction of Information
  • 4 Experiments and Results
  • 5 Conclusions
  • Acknowledgement
  • References
  • Adaptive Multi-round Smoothing Based on the Savitzky-Golay Filter
  • 1 Introduction
  • 2 Mathematical Background of the Savitzky-Golay Filtering Technique
  • 3 Adaptive Multi-round Smoothing Based-On the SG Filtering Technique
  • 3.1 Multi-round Smoothing and Correction
  • 3.2 Approximation Using Modified Shephard Method for Corretion
  • 4 Simulation Results
  • 5 Conclusions
  • References
  • Point Cloud Processing with the Combination of Fuzzy Information Measure and Wavelets
  • 1 Introduction
  • 2 Point Cloud Processing with the Combination of Fuzzy Information Measure and Wavelets
  • 2.1 Principles of Discrete Wavelet Shrinkage
  • 2.2 The Concept of Fuzzy Information Measure
  • 2.3 Fuzzy Information Measure for Feature Extraction
  • 2.4 Fuzzy Performance Measure
  • 3 Simulation Results
  • 4 Conclusions
  • References
  • Significance of Glottal Closure Instants Detection Algorithms in Vocal Emotion Conversion
  • Abstract
  • 1 Introduction
  • 2 Algorithms for Glottal Epoch Detection
  • 2.1 Dynamic Projected Phase-Slope Algorithm (DYPSA)
  • 2.2 Speech Event Detection Using Residual Excitation and a Mean-Based Signal (SEDREAMS)
  • 2.3 Zero Frequency Filtering
  • 3 Implementation
  • 3.1 Database Used
  • 3.2 Pitch Transformation Scales
  • 3.3 Inter-emotion Conversion
  • 4 Results and Objective Evaluation
  • 5 Conclusions
  • Acknowledgements
  • References
  • Analysis of Image Compression Approaches Using Wavelet Transform and Kohonen's Network
  • Abstract
  • 1 Introduction
  • 2 Proposed Approach
  • 2.1 Image Compression
  • 2.2 Learning Phase
  • 2.3 Image Decompression
  • 2.4 Kohonen's Network Algorithm
  • 2.5 Image Pretreatment Using Wavelet Transform
  • 3 Objective Assessments: The Quality Index
  • 3.1 The Relative Weighted Peak Signal to Noise Ratio rwPSNR
  • 3.2 The Structural Similarity Means MSSIM
  • 4 Subjective Assessments
  • 4.1 Quantitative Assessments of Results
  • 4.2 Assessment of the Images Visual Quality
  • 4.3 Comparison Between Our Approach and Various Methods
  • 4.4 Simulation and Results
  • 5 Future Scope and Conclusion
  • References
  • Application of Higham and Savitzky-Golay Filters to Nuclear Spectra
  • Abstract
  • 1 Introduction
  • 2 Type I and Type II Signals
  • 3 Gamma-Ray Spectrometer
  • 4 Savitzky-Golay and Higham FIR Smoothing Filters
  • 4.1 Savitzky-Golay Filters
  • 4.2 Higham Filters
  • 5 Experimental Results
  • 6 Conclusion
  • Acknowledgments
  • References
  • The Efficiency of Perceptual Quality Metrics 3D Meshes Based on the Human Visual System
  • Abstract
  • 1 Introduction
  • 2 The Perceptual Quality 3D Meshes
  • 3 Objective Measures of Quality Meshes
  • 4 The Human Visual System
  • 4.1 Sensor
  • 4.2 Conversion
  • 4.3 Transmission
  • 4.4 Analysis and Decryption
  • 5 The Human Visual System and the Perception of Visual Quality
  • 5.1 Contrast Sensitivity Function
  • 5.2 The Masking Effect
  • 5.3 The Perceptual Quality 3D Mesh
  • 5.3.1 The 3D Watermarking Perception Metric
  • 5.3.2 The Mesh Structural Distortion Measure Metric
  • 5.3.3 The Fast Mesh Perceptual Distance Metric
  • 5.3.4 The Dihedral Angle Mesh Error Metric
  • 6 Conclusion
  • References
  • Fireworks Algorithm Based Image Registration
  • Abstract
  • 1 Introduction
  • 2 Fireworks Algorithm
  • 3 FWA Based Image Registration
  • 3.1 IR Failure Analysis
  • 3.2 Image Registration of Noise Affected Images
  • 4 FWA Versus Other Optimization Algorithms
  • 5 Pixel Based Versus Features Based IR
  • 6 Conclusions
  • References
  • Discrete Wavelet Transforms for PET Image Reduction/Expansion (wavREPro)
  • 1 Introduction
  • 2 Proposed Approach
  • 2.1 Medical Context
  • 2.2 Methodology
  • 3 Experiments and Discussion
  • 4 Conclusion
  • References
  • Tips on Texture Evaluation with Dual Tree Complex Wavelet Transform
  • Abstract
  • 1 Introduction
  • 2 Disadvantages of Wavelet Transforms
  • 3 Discussion on Dual Tree Complex Wavelet Transform
  • 4 Texture Features Selected with DTCWT
  • 5 Results and Discussions
  • 6 Conclusions
  • References
  • Author Index

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