Artificial Intelligence and Soft Computing

Name: Artificial Intelligence and Soft Computing | 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II
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16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II

Leszek Rutkowski Marcin Korytkowski Rafal Scherer Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada(Herausgeber*in)

Springer (Verlag)

Erschienen am 1. Juni 2017

XXIV, 742 Seiten

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Inhalt

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Data Mining
Computer Based Stylometric Analysis of Texts in Polish Language
1 Introduction
2 Features Used in Stylometry
3 Performed Stylometric Analysis
3.1 Data Sets and Classes
3.2 Feature Generation Methods
3.3 Classification
4 Results
4.1 Stylometric Features
4.2 Training Set Size
4.3 Classifiers Accuracy
4.4 Statistical Features Importance
4.5 Grammatical Classes Importance
5 Summary
References
Integration Base Classifiers Based on Their Decision Boundary
1 Introduction
2 Basic Concept
3 Proposed Method
4 Experimental Studies
5 Conclusion
References
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm
1 Introduction
2 Incomplete Data Sets
3 Probabilistic Approximations
4 Rule Induction
4.1 True MLEM2
4.2 Emulated MLEM2
5 Experiments
6 Conclusions
References
Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System
1 Introduction
2 Related Work
3 The Recommender System
3.1 Datasets
3.2 Cleansing
3.3 Preprocessing and Feature Reduction
3.4 Training the Recommender
3.5 Implementation
4 Results and Discussion
4.1 Results of Dimensionality Reduction Techniques
4.2 Choice of SVM Kernel
4.3 Comparison with Previous Approaches and Scalability
5 Conclusion
References
The Bag-of-Words Method with Dictionary Analysis by Evolutionary Algorithm
1 Introduction
2 Description of Proposed Methods
3 Experimental Research
4 Conclusions
References
The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements
1 Introduction
2 Orthogonal Series Estimation of Regression Function and Its Spectrum
3 Nonparametric Orthogonal Series Estimation of Fourier Transform
4 Simulation Example
5 Remarks and Extensions
References
A Complete Efficient FFT-Based Algorithm for Nonparametric Kernel Density Estimation
1 Introduction
2 Problem Demonstration
3 The Improved FFT-Based Algorithm for Density Estimation
4 Binning
5 Experiments
6 Conclusions
References
A Framework for Business Failure Prediction
1 Introduction
2 Related Work
3 The Dataset and the Proposed Framework
3.1 Details of Dataset
3.2 Proposed Framework
4 Performance Evaluation Results
5 Conclusions
References
Fuzzy Clustering with -Hyperballs and Its Application to Data Classification
1 Introduction
2 Fuzzy Clustering with -Hyperballs
3 FCH Based Classification
4 Results and Discussion
5 Conclusions
References
Two Modifications of Yinyang K-means Algorithm
1 Introduction
2 Yinyang K-means
3 Modifications of the Algorithm
3.1 Regrouping of Centroids
3.2 Initial Grouping and Regrouping Using Same-Size K-means
4 Experimental Results
5 Conclusions
References
Detection of the Innovative Logotypes on the Web Pages
1 Introduction
2 Related Works vs. Proposed Approach
3 Problem Description
4 System for Detection of Innovative Logotypes
4.1 System Overview
4.2 Learning Phase
5 Evaluation
5.1 Experiments and Their Results
6 Conclusion
References
Extraction and Interpretation of Textual Data from Czech Insolvency Proceedings
1 Introduction
2 Related Works
2.1 Document Classification
2.2 Clustering of Text Documents
2.3 Cluster Validity and Semantics Assignment
3 Document Pre-processing
4 Supporting Experiments
4.1 The First Set of Experiments - Inference of Creditors' Names
4.2 The Second Set of Experiments - Debt Structure and Origin
5 Conclusions
References
Spectral Clustering for Cell Formation with Minimum Dissimilarities Distance
Abstract
1 Introduction
2 Spectral Clustering and Cell Formation
2.1 Spectral Clustering
2.2 Cell Formation
2.3 A p-Median Problem
3 The Proposed Algorithm
4 Experimental Results
5 Conclusions
References
Exercise Recognition Using Averaged Hidden Markov Models
1 Introduction
2 HMM - Based Activity Models
3 Child Models
3.1 Sequences Concatenation Algorithm
3.2 Model Creation
4 Averaged HMM Activity Models
5 Action Recognition
6 Experiments and Results
7 Conclusions and Future Work
References
A Study of Cluster Validity Indices for Real-Life Data
1 Introduction
2 A New Cluster Validity Index
3 Experiments
3.1 Real-Life Data Sets
3.2 Comparison of Validity Indices
4 Conclusions
References
Improvement of the Validity Index for Determination of an Appropriate Data Partitioning
1 Introduction
2 Improvement of the Silhouette Index
2.1 The Detail Description of the Silhouette Index
2.2 Modification of the Silhouette Index
2.3 Remarks
3 Experimental Results
3.1 Data Sets
4 Conclusions
References
Stylometric Features for Authorship Attribution of Polish Texts
1 Introduction
2 Related Works
3 Datasets
4 Features
4.1 Part of Speech Tags
4.2 POS Bigrams
4.3 Function Words
5 Experiments
5.1 Comparison of Classifier Performance
5.2 Feature Selection: Sets of Attributes
5.3 Feature Selection: Individual Attributes
6 Conclusions
References
Handwriting Recognition with Extraction of Letter Fragments
1 Introduction
2 Preprocessing
3 Strokes Extraction
4 Strokes Classification
5 Pattern Search
6 Construction of Text Variants
7 Experimental Results
8 Conclusion
References
Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis
1 Introduction
2 Description of the Algorithm
3 Spectral Analysis and Estimation Method
4 Time-Frequency Analysis
5 Results
5.1 Procedure Description
5.2 Classification Results
5.3 Testable Classification Grid - Network Efficiency
5.4 Graphs of Results
6 Conclusions
References
Artificial Intelligence in Modeling, Simulation and Control
The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming
1 Introduction
2 State Transition Algorithm
3 Nonlinear Modelling with State Transition Algorithm and Genetic Programming
3.1 Nonlinear Modelling with the State Transition Algorithm
3.2 Simplifying Model with the Genetic Programming Paradigm
4 Simulation Results
5 Conclusions
References
A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms
1 Introduction
2 Approximate Modeling of the Nonlinear Dynamic Object
3 Fuzzy Modeling of the Identified Parameters
4 Online Identification of the Operating Point
5 The Permanent Magnet Synchronous Motor
6 Experimental Results
7 Conclusions
References
Linguistic Habit Graphs Used for Text Representation and Correction
1 Introduction
2 Linguistic Habit Graphs
3 Associative Text Correction Methods
3.1 Checking Punctuation in Sentences
3.2 Semi--automatic Text Correction Methods
3.3 Comparison of the Text Correction Methods
4 Summary and Conclusion
References
Dynamic Epistemic Preferential Logic of Action
1 Introduction
1.1 Paper Motivation
1.2 The Paper Objectives and Paper Organization
2 Preliminaries
2.1 Traveling Salesman Problem as a Motivating Problem
3 Multi-Valued Preferential Logic (MVPL)
3.1 Interval-Based Semantics for MVPL
4 Dynamic Epistemic Logic for Actions
4.1 Syntax and Semantics of DELA
5 DEPLA for Actions and Preferences
5.1 Fibring Interval-Based Semantics for DEPLA
6 Fibring Semantics in Use
7 Concluding Remarks and Possible Research Areas
References
Proposal of a Multi-agent System for a Smart Outdoor Lighting Environment
1 Introduction
2 Smart Lighting Scenarios
3 Multi-agent System for Outdoor Lighting
4 Simulation Environment
5 Conclusions
References
Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers
1 Introduction
2 Preliminaries
2.1 Babia Góra
2.2 Basic Nomenclature
2.3 Towards Context Reasoning
3 System Description
3.1 Uses Cases for the System
3.2 Algorithms and Activities for the System
3.3 Reasoning
4 Conclusion
References
TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports
1 Introduction
2 Problem Definition
3 Model Description
4 Experiments
4.1 NBA Dataset
4.2 Training of Our Model
4.3 Evaluation Metrics
4.4 Comparing to Other Predictive Models
4.5 Benefits of Getting Winning Probability
5 Conclusion and Future Work
References
Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction
1 Introduction
2 PID Controllers, Fuzzy Systems and Filters
2.1 PID Controllers
2.2 Fuzzy Systems
2.3 Filters
3 Description of Proposed Controller Structure
3.1 Filtration Layer
3.2 PID Layer
3.3 Normalization Layer
3.4 Inference Layer
4 Description of Designing Method of Proposed Controller
4.1 Encoding of the Individuals
4.2 Processing of the Individuals
5 Simulations
5.1 Simulation Problem
5.2 Simulation Parameters
5.3 Simulation Results
5.4 Simulation Conclusions
6 Conclusions
References
The Use of Heterogeneous Cellular Automata to Study the Capacity of the Roundabout
Abstract
1 Introduction
2 Related Work
3 CA Model of Roundabout
4 The System Developed for the Simulation
5 Experimental Results
6 Conclusion
References
A Method for Design of Hardware Emulators for a Distributed Network Environment
1 Introduction
2 A New Method of Digital Processing of Real Numbers in Modeling the Nonlinear Dynamics
2.1 Analysis of the Issue of the Digital Processing of Real Numbers in the Matrix State Equation
2.2 The New Architecture of the Arithmetic Unit
2.3 Super-Scalar Architecture for Efficient Digital Processing of Real Numbers in the Matrix State Equation
3 Implementation Results
4 Summary
References
Iterative Learning of Optimal Control -- Case Study of the Gantry Robot
1 Introduction
2 Problem Statement and ILOC Algorithm
2.1 Problem Statement
2.2 Iterative Learning Algorithm
3 Gantry Robot Models
3.1 Continuous Time Model
3.2 Discrete Time Model of the Gantry Z-Axis
4 Results of Simulations and Comparisons
5 Camera in the Loop and Conclusions
References
An Approach to Robust Urban Transport Management. Mixed Graph-Based Model for Decision Support
1 Introduction
2 Overview of Crisis Situations in Urban Transport
3 Mathematical Model
4 Model Creation
5 Solving Method
6 Conclusions
References
Street Lighting Control, Energy Consumption Optimization
1 Introduction
2 Motivation
3 Lighting System Design Process
4 Control Graph
5 Reduction of Overlighting
6 Recalculation
7 Conclusions
References
Various Problems of Artificial Intelligence
Patterns in Serious Game Design and Evaluation Application of Eye-Tracker and Biosensors
Abstract
1 Motivation
2 Methods for Study of Players and Gameplay
3 Application of Patterns for Evaluation and Understanding of Players and Gameplay
3.1 Patterns in Game Design
3.2 Serious Game Design
3.3 Pattern Framework and DPE
3.4 Affective Patterns
3.5 KSA: Knowledge, Skills, Abilities
4 Patterns Useful in the Serious Games
5 Summary and Further Development
Acknowledgement
References
Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network
1 Introduction
2 Experimental Set up
3 The Proposed RBFNN Based Model
3.1 Calculating and Adjusting the Centroids
4 Experimental Data and Results
5 Conclusion
References
Conditioned Anxiety Mechanism as a Basis for a Procedure of Control Module of an Autonomous Robot
1 Introduction
2 Motivations
3 The Proposed Algorithm
3.1 Conditioned Anxiety as a Mechanism of Control
3.2 The Proposed Algorithm
4 Experiments and Results
5 Concluding Remarks
References
Framework for Benchmarking Rule-Based Inference Engines
1 Introduction
2 Related Works
2.1 Frameworks for Benchmarking Performance
3 Motivation
4 Meta-model Representation
5 Model Generation and Translation
5.1 Meta-model Configuration and Generation
5.2 Translating Models
6 Benchmarking
7 Summary and Future Works
References
Web-Based Editor for Structured Rule Bases
1 Introduction
2 HADES Tools
3 Requirements for Online Modeling Tool
4 HWED
4.1 Functionality
4.2 Architecture
4.3 Implementation
5 Evaluation and Future Works
5.1 Comparison of Tools for Knowledge Visualization and Editing
5.2 Usability Studies
5.3 Future Works
References
Parallelization of Image Encryption Algorithm Based on Game of Life and Chaotic System
1 Introduction
2 Description of the Image Encryption Algorithm Based on Game of Life and Chaotic System
3 Parallelization Process of Image Encryption Algorithm
4 Experimental Results
5 Conclusions
References
Cognitive Investigation on Pilot Attention During Take-Offs and Landings Using Flight Simulator
1 Introduction
2 Measuring Station and Initial Assumptions of Experiment
3 Results and Analysis
4 Conclusion
References
3D Integrated Circuits Layout Optimization Game
1 Introduction
2 Related Work
3 Autonomous Agent
3.1 Steering Behaviors
4 3D ICs Layout Design Constraints and Goals
5 Game
5.1 Circuit Components
5.2 Behavioral Animation
6 Conclusions and Future Prospects
References
Multi-valued Extension of Putnam-Davis Procedure
1 Introduction
1.1 State of the Art and the Paper Motivation
1.2 The Paper Objectives and Organization
2 Unit-Propagation and Putnam-Davis Procedure
3 Multi-valued Extension of Putnam-Davis Procedure and Its Meta-Logical Properties
4 Multi-valued Putnam-Davis Procedure in Use
5 Further Extension of Putnam-Davis Procedure -- Practically Motivated
6 Closing Remarks
References
Comparison of Effectiveness of Multi-objective Genetic Algorithms in Optimization of Invertible S-Boxes
1 Introduction
1.1 Invertible Substitution Boxes
1.2 NSGA-II
1.3 Steady-State Strategy for NSGA-II
2 Implementation
2.1 Coding
2.2 Objectives
3 Experimental Research
3.1 Scenario
3.2 Results
4 Conclusions and Future Work
References
The Impact of the Number of Averaged Attacker's Strategies on the Results Quality in Mixed-UCT
1 Introduction
2 Mixed-UCT
2.1 MCTS/UCT
2.2 I2-UCT
2.3 Mixed-UCT
2.4 Calculating Attacker's Strategy
3 Experimental Setup
3.1 Test Graphs
4 Experimental Results
5 Discussion and Conclusions
References
Data-Driven Polish Poetry Generator
1 Introduction
2 Previous Works
3 Proposed System
4 Knowledge Acquisition
5 Sentence Generation
6 Feature Enforcement
6.1 Context
6.2 Rhythm
6.3 Rhymes
7 Results
8 Conclusion
References
Rule Based Dependency Parser for Polish Language
1 Introduction
2 Preliminary Definitions
2.1 Parts of Speech Archetypes
2.2 Dependency Trees
3 Parsing Rule Chain
3.1 Compound Adjective and Compound Adverb Elimination
3.2 Sentence Subdivision
3.3 Adjective Elimination
3.4 Preposition-Noun Combining
3.5 Noun Phrase Combining
3.6 Final Tree Creation
4 Results
5 Conclusions
References
Porous Silica Templated Nanomaterials for Artificial Intelligence and IT Technologies
1 Introduction
2 Analysis of Needs
3 Determination of Materials Molecular Structure
4 Study of Feasibility
5 Conclusion
References
Combining SVD and Co-occurrence Matrix Information to Recognize Organic Solar Cells Defects with a Elliptical Basis Function Network Classifier
1 Introduction
2 Materials
3 Architecture of OSC
4 Experimental Image's Dataset and Acquisition System
5 The Feature Extraction Methodology Based on Gray Level Co-occurrence Matrices and Singular Value Decomposition
6 The Used EBF Classifier
7 Results and Discussion
8 Conclusion
References
An Intelligent Decision Support System for Assessing the Default Risk in Small and Medium-Sized Enterprises
1 Introduction
2 Real Environment Deployment and Data Characteristics
3 Main Procedure of the Proposed DSSDP Algorithm
4 Simulation Results
5 Concluding Remarks
References
Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem
1 Introduction
2 ACO in CVRPwTJ
3 PSO in CVRPwTJ
3.1 Problem Encoding
3.2 Initial Population
3.3 Operational Scheme of the Proposed Method
3.4 Position and Velocity Update
3.5 Corrective Procedure
4 Experimental Setup
4.1 Steering Parameters
4.2 Benchmark Problems
5 Results
6 Conclusions
References
LSTM Recurrent Neural Networks for Short Text and Sentiment Classification
1 Introduction
2 Long Term Short Term Memory Networks
2.1 Bidirectional LSTM
2.2 Gated Recurrent Unit
3 Experiments
3.1 Experimental Setup
3.2 Grammar and Punctuation in Sequences
3.3 Word Representation
3.4 Training
4 Results
4.1 Results All Datasets
5 Conclusion
References
Categorization of Multilingual Scientific Documents by a Compound Classification System
1 Introduction
2 Related Works
3 Methods
3.1 The Problem to Solve
3.2 Training Algorithms
3.3 Modeling Procedures
4 Experiments
4.1 Setup
4.2 Experiments Description
4.3 Results and Discussion
5 Conclusions
References
Cognitive Content Recommendation in Digital Knowledge Repositories - A Survey of Recent Trends
Abstract
1 Introduction
2 Cognitive Inspirations of Recommender Systems
2.1 A Formal Background of Recommendation Systems
2.2 Research Issues in Cognitive Recommendation and Decision Support
3 Principles of Cognitive Content Recommenders
3.1 The Design of Cognitive Decision Pilots for Research Recommenders
3.2 Implementing Cognitive Content Recommenders for a Learning Platform
3.3 Search Strategy Recommendation as a Cognitive Process
4 Discussion and Conclusions
Acknowledgement
References
Supporting BPMN Process Models with UML Sequence Diagrams for Representing Time Issues and Testing Models
1 Introduction
1.1 Paper Motivation
2 Standards for Modeling Systems
2.1 Business Process Model and Notation
2.2 Time Representation in BPMN Process Models
2.3 Unified Modeling Notation
2.4 Time Representation in UML Sequence Diagrams
3 Random Testing
4 Translation Algorithm
5 Case Study Example
5.1 Testing Results
6 Concluding Remarks
References
Simulation of Multi-agent Systems with Alvis Toolkit
1 Introduction
2 Introduction to Alvis Toolkit
3 Case Study
4 Conclusions and Future Work
References
Tensor-Based Syntactic Feature Engineering for Ontology Instance Matching
1 Introduction
2 Related Work
3 Ontology Instance Matching System with Tensor-Based Syntactic Feature Engineering
3.1 Application of Syntactic Analysis to Instance Property Extraction
3.2 Rule-Based Augmentation of Matches Representation
3.3 Tensor-Based Model for Instance Matches Representation
3.4 Supervised Learning Based on Logistic Regression
4 Evaluation Methodology
4.1 Dataset Use
4.2 Matching Quality Measures
5 Evaluated Systems
6 Evaluation Results
7 Conclusions
References
Semantic Annotations for Mediation of Complex Rule Systems
1 Introduction
2 Related Works
3 Motivation
4 Proposed Solution
4.1 Representing Rule Models in Ontology
4.2 Semantic Annotations
4.3 Analysis of Applicability
5 Application Study
6 Summary and Future Works
References
Convolutional Neural Networks for Time Series Classification
1 Introduction
2 Data Collecting
3 Experiments
4 Conclusion
References
Special Session: Advances in Single-Objective Continuous Parameter Optimization with Nature-Inspired Algorithms
A DSS Based on Hybrid Ant Colony Optimization Algorithm for the TSP
1 Introduction
2 DSS Architecture Embedding a HACO
3 Hybrid Ant Colony Optimization Algorithm
4 Numerical Experiments
4.1 HACO Tuning
4.2 Computational Results
5 Conclusion
References
Comparing Strategies for Search Space Boundaries Violation in PSO
1 Introduction
2 Particle Swarm Optimization
3 Diversity-Guided Particle Swarm Optimizer
4 Strategies for Search Space Boundaries Violation
4.1 Hard Borders
4.2 Soft Borders
4.3 Random Position
4.4 Spherical Universe
5 Experimental Setup
6 Results
7 Results Discussion
8 Conclusion
References
PSO with Attractive Search Space Border Points
1 Introduction
2 Particle Swarm Optimization Algorithm
3 Proposed Modification
4 Experiment
5 Conclusion
References
Differential Evolution Driven Analytic Programming for Prediction
1 Introduction
2 Related Works and Motivation
3 Analytic Programming
3.1 General Function Set
3.2 Discrete Set Handling
3.3 Security Procedures
3.4 Constants Handling
4 Differential Evolution
4.1 Canonical DE
4.2 Success-History Based Adaptive Differential Evolution
5 Experiment Design
6 Results
7 Conclusion and Results Analysis
References
Archive Analysis in SHADE
1 Introduction
2 Differential Evolution
2.1 Initialization
2.2 Mutation
2.3 Crossover
2.4 Selection
3 Success-History Based Adaptive Differential Evolution and Enhanced Archive
3.1 Initialization
3.2 Mutation
3.3 Crossover
3.4 Historical Memory Updates
4 Experimental Setting
5 Results
6 Results Discussion
7 Conclusion
References
Special Session: Stream Data Mining
Learning in Nonstationary Environments: A Hybrid Approach
1 Introduction
2 Learning in Nonstationary Environments: Passive, Active and Hybrid
2.1 Problem Formulation
2.2 The Passive Approach
2.3 The Active Approach
2.4 The Proposed Hybrid Approach
3 Regression in Nonstationary Environments
3.1 The Regression Problem
3.2 A Hybrid Solution for Regression in Nonstationary Environments
4 Experimental Results
5 Conclusion
References
Classifier Concept Drift Detection and the Illusion of Progress
1 Introduction
2 Change Detectors
2.1 Statistical Tests with Stopping Rules
2.2 Drift Detection Method
2.3 ADWIN: ADaptive sliding WINdow algorithm
3 Concept Drift Evaluation
3.1 Comparative Experimental Evaluation
4 Temporal Dependence in Data Streams
5 Conclusions
References
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift
1 Introduction
2 Recurrent Regression with Parzen Kernels
3 Heuristic Modifications
3.1 Sliding Window
3.2 Forgetting Factor
4 Simulation Results
4.1 Regression Function Estimation
5 Conclusions
References
Author Index

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