Software Engineering Perspectives in Intelligent Systems

Name: Software Engineering Perspectives in Intelligent Systems | Proceedings of 4th Computational Methods in Systems and Software 2020, Vol.2
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Proceedings of 4th Computational Methods in Systems and Software 2020, Vol.2

Radek Silhavy Petr Silhavy Zdenka Prokopova(Editor)

Springer (Publisher)

Published on 14. December 2020

XVIII, 954 pages

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978-3-030-63319-6 (ISBN)

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Content

Intro
Preface
Organization
Program Committee
Program Committee Chairs
International Program Committee Members
Organizing Committee Chair
Conference Organizer (Production)
Conference website, Call for Papers
Contents
Visualization of Semistructured Information in Organizing Processes of Management of Large Production Systems
1 Introduction
2 Methods
3 Results
4 Discussions
5 Conclusion
References
The Development of a Model of the Formation of Cybersecurity Outlines Based on Multi Criteria Optimization and Game Theory
Abstract
1 Introduction
2 Actual Scientific Researches and Issues Analysis
3 The Research Aim
4 Methods and Models
5 Computational Experiment
6 Discussion of the Experiment Results
7 Conclusions
References
Measurement of Energy Efficiency Metrics of Data Centers. Case Study: Higher Education Institution of Barranquilla
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Results and Discussion
4.1 Power/Energy Metrics
4.2 Comparative Analysis of Performance Metrics DCiE and PUE: Standard Value vs. Real Values Obtained
5 Conclusions and Future Works
References
Model of Group Pursuit of a Single Target Based on Following Previously Predicted Trajectories
Abstract
1 Introduction
2 Modeling Trajectories
3 Analysis of the Coordinates of the Touch Point from the Dynamic Coordinate System of the Pursuer
4 Analysis of the Coordinates of the Touch Point from the Dynamic Coordinate System of the Pursuer
5 The Case of Non-intersecting Circles
6 Goal and Strategy of the First Pursuer
7 Goals and Strategies of the Second and Third Pursuers
8 Goal and Strategy of the Fourth Pursuer
9 Objective and Strategy the Object of Persecution
10 Conclusion
References
The Method "cut cylinder" for Approximation Round and Cylindrical Shape Objects and Its Comparison with Other Methods
Abstract
1 Introduction
2 Materials and Methods
2.1 Theoretical Part
2.2 Practical Part
3 Results
3.1 The Theoretical Advantage of the "cut cylinder" Model
3.2 Practical Application of the "cut cylinder" Model
4 Conclusion
Acknowledgments
References
Resource Allocation by the Inverse Function Method
Abstract
1 Introduction
2 Inverse function method of resource allocation
3 Conclusion
Acknowledgement
References
Economic Assessment of Investment for the Production of Construction Products, Using the Mathematical Model
Abstract
1 First Section
1.1 Introduction
1.2 Methods and Models
2 Results
3 Conclusion
References
Comparative Analysis of Approaches to Software Identification
Abstract
1 Introduction
2 Materials and Methods
2.1 Software Monitors
2.2 Gradient Boosting on Decision Tree Libraries
2.3 Experiment Set up and Learning Parameter Selection
3 Results
4 Conclusion
References
The Digital Random Signal Simulator
Abstract
1 Introduction
2 The Markov Model
3 The Block Diagram of the Simulator
4 Signals with the Specified One-Dimensional Probability Distribution
5 Pseudorandom Signals with the Specified Two-Dimensional Probabilistic Characteristics
6 The Frequency Filtering of the Simulator Signals
7 Conclusion
Acknowledgements
References
Gradient Descent Method Based on the Multidimensional Voxel Images
Abstract
1 Introduction
2 The Functional Voxel Modelling of the Analytical Representation of a Function
3 The Gradient Descent Algorithm on the Basis of the Functional Voxel Model
4 Multidimensional Approach to the Gradient Descent Algorithm
5 Applications for the Designed Functional Voxel Gradient Descent Algorithm
6 Conclusions
References
Application of the Wald Sequential Procedure in Automatic Network Control with Distributed Generation
Abstract
1 Introduction
2 The Statistical Problem of Sequential Decision Making in Recognition of Normal and Emergency Modes
3 Implementation of Automatic Frequency Unloading Using a Sequential Analysis Procedure
4 Truncation of the Sequential Analysis Procedure
5 Conclusion
Acknowledgement
References
Heterostructure Simulation for Optoelectronic Devices Efficiency Improvement
Abstract
1 Introduction
2 Methods
3 Result and Discussion
3.1 SC Optimum Heterostructure Design Simulation
3.2 Effects of Varying Al. Concentration on AlGaN HPT Characteristics
3.2.1 Doping Concentration Influence on AlGaN HPT Characteristics
4 Conclusions
References
Multi-well Deconvolution for Well Test Interpretations
Abstract
1 Introduction
2 Basics of the Deconvolution Method for Flow Dynamics Reverse Problem Solution
3 Applying the Multi-well Deconvolution
3.1 Example 1. Infinite Formation
3.2 Example 2. Finite Formation
4 Conclusion
Acknowledgements
References
Collaborative Filtering Recommendation Systems Algorithms, Strengths and Open Issues
Abstract
1 Introduction
2 Collaborative Filtering Systems Algorithms
2.1 Memory Based Collaborative Filtering
2.2 Model Based Collaborative Filtering
3 Strengths of Collaborative Filtering Technique
4 Open Issues in Collaborative Filtering Recommender Systems
4.1 Data Sparsity
4.2 Coldstart
4.3 Scalability
4.4 Diversity
4.5 Vulnerability to Attacks
4.6 Synonymy
4.7 Gray Sheep
4.8 Shilling Attacks
5 Conclusion
References
A Computational Simulation of Steady Natural Convection in an H-Form Cavity
Abstract
1 Introduction
2 Problem Statement and Solutions Procedures
3 Computational Validation
4 Results and Discussion
5 Conclusion and Perspectives
References
Geometrical Modelling Applied on Particular Constrained Optimization Problems
Abstract
1 Introduction
2 Particular Situations in Constrained Quadratic Optimization
3 Proposed Structure of Geometrical Models in GeoGebra
4 Results
5 Conclusion
Acknowledgements
References
The Mathematical Model for Express Analysis of the Oilfield Development Performance in Waterflooding
Abstract
1 Introduction
2 Stream Tube Model with Account for the Influence of the Phase Mobility on the Uneven Reservoir Waterflooding Indexes
3 Method of Accounting for the Influence Made by the Well Network Parameters on the Waterflooding Values and the Oil Recovery from Uneven Reservoirs
4 Example of Applying the Described Mathematical Model
5 Conclusion
Acknowledgement
References
Numerical Experiments for Stochastic Linear Equations of Higher Order Sobolev Type with White Noise
Abstract
1 Introduction
2 Theoretical Study and Solvability of the Stochastic Linear Equations of Higher Order Sobolev Type with White Noise
3 Numerical Study of the Stochastic Linear Equations of Higher Order Sobolev Type with White Noise
4 Computational Experiments and Results
5 Conclusions
Acknowledgments
References
Patterns in Navy Systems Using Autonomous Robotic Systems When Running Missions
Abstract
1 Introduction
2 Requirements for the Autonomy and Intelligence of Combat Cyber-Physical Systems
2.1 Initial Assumptions and Hypotheses
3 A Model of Behavior Pattern Fuzzy Description
4 Agent's Choice Model
5 Complexity Degrees of Pattern Models for Modeling Skills and Abilities
6 An Approach to the Identification and Construction of a Pattern Model
6.1 The Main Modeling Phases [13, 15, 16]
References
Renewable Energy and Its Impact on GDP Growth Factors: Spatial Panel Data Analysis of Gross Fixed Capital Formation in Selected EU Countries
1 Introduction
2 Methodology
3 Empirical Analysis
3.1 Data
3.2 Results and Discussion
3.3 Robustness to Changes in Spatial Structure Definition
4 Conclusions
References
A Method to Prove the Existence of a Similarity
1 Introduction
2 Problem Definition
3 An Approach
4 Proof
4.1 Difference
4.2 Simulation
5 Conclusion
References
Parametric Methods and Algorithms of Volcano Image Processing
Abstract
1 Introduction
2 The Volcano Day Shot Analysis Algorithm
3 Thermal Anomaly Detection Algorithm
4 Image Processing Tools
5 Conclusion
Acknowledgements
References
Interval Valued Markov Integrated Rhotrix Optimization Using Genetic Algorithm for Predictive Modeling in Weather Forecasting
Abstract
1 Introduction
2 Review of Literature
3 Materials and Methods
3.1 Interval Valued Markov Integrated Rhotrix Predictive Model
3.2 Markov Integrated Rhotrix Optimization Using Genetic Algorithm Predictive Model
4 Experimental Result and Discussion of Interval Valued Markov Integrated Rhotrix Optimization Using Genetic Algorithm Predictive Model in Weather Forecasting
5 Conclusion
References
Association of Cardiovascular Events and Blood Pressure and Serum Lipoprotein Indicators Based on Functional Data Analysis as a Personalized Approach to the Diagnosis
Abstract
1 Introduction
2 Materials and Methods
2.1 Study Design
2.2 Machine Learning
2.3 Statistical Analysis
3 Result
3.1 Patient Characteristics
3.2 Analyses of Biochemical Parameters
3.3 Numerical Results
4 Discussion
5 Conclusion
Acknowledgments
References
Identification of Similarities in Approaches to Paired Comparisons in Visual Arts Education
Abstract
1 Introduction
2 Principles of Paired Comparisons Using Testing Hypotheses
3 Analysis of Similarities in Results of Paired Comparisons
4 Results
5 Conclusion
References
Impact of Mobility on Performance of Distributed Max/Min-Consensus Algorithms
1 Introduction
2 Theoretical Background
2.1 Model of Mobile Multi-agent Systems
2.2 Max/Min-Consensus Algorithm
3 Applied Research Methodology
4 Experimental Part
5 Conclusion
References
An Integrated Approach to Assessing the Risk of Malignant Neoplasms for Adults
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
Acknowledgment
References
State-of-Health Estimation of Lithium-Ion Batteries with Attention-Based Deep Learning
1 Introduction
2 Related Work
2.1 Model-Based Methods
2.2 Data-Driven Methods
3 Methodology
3.1 Gated Recurrent Unit
3.2 Proposed Attention Model
4 Experiments
4.1 Dataset
4.2 Comparison of General GRU and Attention-Based GRU
4.3 Comparison of Attention-Based GRU and Conventional Methods
4.4 Training on B0005/B0006 and Test on B0007
5 Conclusions
References
Model for Choosing Rational Investment Strategies, with the Partner's Resource Data Being Uncertain
Abstract
1 Introduction
2 Literature Survey and Analysis
3 The Research Aim
4 Methods and Models
5 Computational Experiment
6 Discussion of the Experiment Results
7 Conclusions
References
Modified Method of Ant Colonies Application in Search for Rational Assignment of Employees to Tasks
Abstract
1 Introduction
2 Application of the Ant Colony Method to Solve the Assignment Problem
3 Estimates of the Criteria the Ant Colony Method
3.1 Estimates of the Criteria for Completing the Ant Colony Method for a Certain Number of Implementations
3.2 Estimation of Criteria for Completion of the Ant Colony Method to Achieve Limitations
4 Discussions
References
Cognitive Maps of Knowledge Diagnosis as an Element of a Digital Educational Footprint and a Copyright Object
Abstract
1 Introduction
2 Methods
2.1 Digital Educational Footprint
2.2 Cognitive Maps of Knowledge Diagnosis
3 Results
4 Discussions
5 Conclusion
Acknowledgements
References
Distributions of the Collision Times Between Two Atoms That Have Overcome the Potential Barrier on the Surface
Abstract
1 Introduction
2 Modeling
3 Analysis of the Results Obtained
4 Conclusions
References
Graphical Method of Intellectual Simulation Models' Analysis on the Basis of Technical Systems' Testing Results
Abstract
1 Introduction
2 Intellectual Simulation Model
3 Graphical Method of Model Analysis
4 Discussion
Acknowledgment
References
On One Problem for Equation of Oscillator Motion with Viscoelastic Damping
Abstract
1 Introduction
2 Methods
3 Results
4 Discussions
5 Conclusion
References
Addressing a Problem of Regional Socio-Economic System Control with Growth in the Social and Engineering Fields Using an Index Method for Building a Transitional Period
Abstract
1 Introduction
2 Materials and Research Methods
3 Problem Solving Algorithm
4 Research Results
5 Conclusion
References
Creating of Feature Dictionary Using Contour Analysis, Moments and Fourier Descriptors for Automated Microscopy
Abstract
1 Introduction
2 Materials of research
3 Methods of research
3.1 Moments
3.2 Fourier Transforms and Descriptors
4 Computational Experiment
5 Conclusions
References
Applying an Integral Algorithm for the Evoked P300 Potential Recognition to the Brain-Computer Interface
Abstract
1 Introduction
2 Objective
3 Materials and Methods
4 Results and Discussion
5 Conclusion
Acknowledgements
References
Fractal Analysis of EEG Signals for Identification of Sleep-Wake Transition
Abstract
1 Introduction
2 Nonlinear Analysis Methods
3 Frequency Filtration Methods as Essential Artifact Combating Methods Used in Nonlinear Analysis
4 Example of Combining the Frequency Filtration and Nonlinear Analysis Methods in Hypnogram Recording
5 Conclusion
Acknowledgements
References
Investigation of Robust Stability for Fractional-Order LTI Systems with Multilinear Structure of Ellipsoidal Parametric Uncertainty
Abstract
1 Introduction
2 Mathematical Description of Analyzed Family
3 Value Set - Construction and Properties
4 Robust Stability Test
5 Conclusion
Acknowledgments
References
Monitoring the Characteristics of Human Emotional Reactions Based on the Analysis of Attractors Reconstructed According to EEG Patterns
Abstract
1 Introduction
2 Methods
2.1 Bioengineering System and Multimodal Database
2.2 Attractor Reconstruction
2.2.1 Time Delay Selection
2.2.2 Selecting an Embedding Dimension Value
2.2.3 Choosing the Minimum Time Series Length
3 Results
3.1 The Relationship Between the Attractor and Emotional Reaction Characteristics
3.2 Fuzzy Estimates of the Direction of Emotional Reaction Development
4 Discussions
5 Conclusion
Acknowledgements
Ethical Approval
References
A Software Package for Monitoring Human Emotional Reactions and Cognitive Activity by Analyzing Biomedical Signals
Abstract
1 Introduction
2 Methods
2.1 EEG/Speech+ System Software
2.2 The Methods of Analyzing Biomedical Signal Fragments
2.3 The Interpreter of Emotions and a Cognitive Activity Level as a Part of EEG/Speech+
3 Results and Discussion
3.1 The Effect of Emotional State on the Spectral Power Density of Biomedical Signals
3.2 The Studies of the Separation Force of the Maximum Vectors (R1 - R15) of Attractor Projections on a Speech Signal
3.3 The Studies of the Separation Force of the Attractor Projection Maximum Vectors (R1 - R120) on EEG Samples
3.4 Interpretation of Emotions by Emo-DB Speech Samples
4 Conclusion
Ethical Approval
References
Ergodicity and Consistency of Statistical Estimates of Poisson Flow Intensity and Stochastic Properties of Medianta
1 Introduction
2 Estimation of Poisson Flow Intensity
3 Estimation of a Large Parameter of the Exponential Distribution
4 Comparing the Medianta and Average of a Sequence of Fractions
5 Conclusion
References
Signature Detection and Identification Algorithm with CNN, Numpy and OpenCV
Abstract
1 Introduction
2 Methodology
2.1 Signature Detection on a Scanned Document and Subsequent Identification Algorithm
2.2 Data Preparation
2.3 Model Training
3 Image Classification and Signature Identification Results
4 Discussion
4.1 Application of the «Keras CNN Dog or Cat Classification»
4.2 Manipulating Tensors in Numpy
4.3 OpenCV Image Processing Tools
5 Conclusion
Acknowledgments
References
Software for Structure Selection of an Artificial Neural Network to Control the Induction Soldering Process
Abstract
1 Introduction
2 Structure and Algorithms of the Developed Software
3 Description of the Proposed Software System
4 Experimental Study of an Automated System Efficiency
5 Conclusion
Acknowledgments
References
Intelligent Real-Time Management of Agrotechnologies
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Conclusions
Acknowledgments
References
Applying Peltier Thermoelectric Coolers to Compensate Temperature Errors of the MEMS Used in UAVs
Abstract
1 Introduction
2 Methods
3 Results and Discussion
4 Conclusions
Acknowledgements
References
Context-Aware Smart-Contracts for Service Bundles
Abstract
1 Introduction
2 Related Research
3 Conceptual Framework
4 Use Case
5 Conclusion
Acknowledgements
References
Method of Synthesis of the Information Model of the Judicial Decision Support System
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Predictive Model of Energy Consumption of a Home
Abstract
1 Introduction
2 Materials and Methods
2.1 Simple Appliances
2.2 Weather Forecast
2.3 Sunshine Irradiation Forecast
2.4 Heating and Cooling Subsystem
2.5 Photovoltaic Subsystem
2.6 Electric Vehicle and Battery Subsystem
3 Results and Discussion
3.1 Weather Forecast
3.2 Heating and Cooling
3.3 Photovoltaics
3.4 Electric Vehicle Battery
4 Conclusion
Acknowledgment
References
Features of Territorial Distribution of Population in Russia
Abstract
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusions
Acknowledgments
References
Study of Development of the Largest Now Russian Cities Since the End of XIX Century to the Present Time
Abstract
1 Problem Statement
2 Theory and Research Methodology
3 Initial Data
4 Results and Analysis
5 Conclusions
Acknowledgments
References
Numerical Optimization of the Galactomannan Sulfation Process with a Sulfamic Acid-Urea Complex
Abstract
1 Introduction
2 Experimental
2.1 Features of the Galactomannan Sulfation
2.1.1 Sulfation of Galactomannan
2.1.2 Dissolution and Neutralization
2.1.3 Dialysis of Sulfated Galactomannan
2.2 Calculation
3 Results and Discussion
4 Conclusions
Acknowledgments
References
Handwritten Digit Recognition by Deep Learning for Automatic Entering of Academic Transcripts
Abstract
1 Introduction
2 Related Works
3 CNN Model for Handwritten Digits Recognition in Academic Transcripts
3.1 Problem Description
3.2 Dataset Selection
3.3 Preprocessing for the Input and Output Data
3.4 A Six-Layered CNN for Handwritten Digits Recognition
4 Experimental Results and Discussions
4.1 Experimental Setup
4.2 Experimental Tests
5 Conclusion
References
Orchestration of Clusters of IoT Devices with Erlang
1 Introduction
2 IoT Devices
2.1 Dynamic Resource Allocation
2.2 Benchmark
3 Orchestrator
3.1 Communication
3.2 Adding and Removing Nodes
3.3 Task Distribution
3.4 Fault-Tolerance
4 Implementation
4.1 IoT Node Implementation
4.2 Orchestrator Implementation
4.3 API
5 Evaluation
6 Conclusion and Future Work
References
Computational Complexity of Optimal Blocking of a Subset of Vertices in a Directed Graph
1 Introduction
2 Recurrent Clustering Algorithm
3 Minimizing the Number of Deleting Edges
References
Computational Analysis and Classification of Road Surface Using Naïve Bayes Classifiers
1 Introduction
2 Literature Review
2.1 Related Works
2.2 Naïve Bayes Classifier
3 Experiments Process
3.1 System Design
3.2 Data Gathering
3.3 Preprocessing
3.4 Classification
3.5 K-Fold Cross Validation
3.6 Accuracy
4 Results
5 Conclusion
References
A K-means Bat Algorithm Applied to the Knapsack Problem
1 Introduction
2 KnapSack Problem
3 Binary Bat Algorithm
3.1 Initialization and Element Weighting
3.2 k-means Transition Ranking Operator
3.3 Repair Operator
4 Results
4.1 Insight of KBBA Algorithm
4.2 KBBA Comparisons
5 Conclusions
References
A K-means Bat Optimisation Algorithm Applied to the Set Covering Problem
1 Introduction
2 Set Covering Problem
3 K-means Binary Bat Algorithm
3.1 Initialization
3.2 k-means Transition Ranking Operator
3.3 Heuristic Operator
4 Results
4.1 Insight of KBBA Algorithm
4.2 KBBA Compared with JPSO and MDBBH
5 Conclusions
References
The Error Analysis for Enterprise Software Application Using Analytic Hierarchy Process and Supervised Learning: A Hybrid Approach on Root Cause Analysis
Abstract
1 Introduction
2 Motive of the Study
3 Statement of the Problem
4 Statement of the Objectives
5 Literature Review
6 Proposed Logic Model
7 Conclusion
References
Self-tuning Dichotomy and Bonuses for Renovation
Abstract
1 Introduction
2 Methods of Awareness Dichotomy
2.1 Primary Dichotomy
2.2 Self-tuning Primary Dichotomy
2.3 Self-tuning Secondary Dichotomy
2.4 Procedure of a Self-tuning Secondary Dichotomy
3 Observational-Based Dichotomy and Agent Activity
3.1 Self-tuning Observational-Based Secondary Dichotomy
3.2 Secondary Dichotomy Procedure
3.3 Activity and Ontology-Based Management Model
3.4 Agent Behavior
4 Optimal Ontology-Based Management Model
4.1 Sufficient Optimality Conditions
4.2 Discussion
5 Model-Based Performance Analyses for Renovation of Locomotives
6 Conclusion
References
On the Question of Modifying Membership Functions
Abstract
1 Introduction
2 Literature Review
3 Method
4 Conclusion
Acknowledgements
References
A Percentil Gravitational Search Algorithm an Aplication to the Set Covering Problem
1 Introduction
2 Set Covering Problem
3 Binary Percentile Gravitational Search Algorithm
3.1 Initialization
3.2 Percentile Binary Operator
3.3 Heuristic Operator
4 Results
4.1 Insight of BPGSA Algorithm
4.2 BPGSA Compared with JPSO and MDBBH
5 Conclusions
References
Principal Component Analysis Enhanced Multi-layer Perceptron for Multi-economic Indicators in Southern African Economic Prediction
1 Introduction
2 Further Background Study
3 Model Background Description
3.1 Principal Component Analysis
3.2 Multi-layer Perceptron
4 Data Description
5 Performance Evaluation
6 Conclusion
References
An Approach for Journal Summarization Using Clustering Based Micro-Summary Generation
Abstract
1 Introduction
2 Methods
2.1 Text Splitting
2.2 Information Retrieval-Based Sentence Similarity Measure
2.3 Clustering and Micro-summary Generation
2.4 Final Summary Generation
2.5 Performance Measures Used
3 Results
4 Discussion
5 Conclusion
References
EEG Recognition Based on Parallel Stacked Denoise Autoencoder and Convolutional Neural Network
Abstract
1 Introduction
2 Stacked Denoise Autoencoder
3 Convolutional Neural Network
4 EEG Recognition Based on Parallel SDA and CNN
5 Experiments on Motor Imagery EEG Classification
5.1 Experimental Data
5.2 Wavelet Preprocessing
5.3 Results and Analysis
5.4 Online Experiment
6 Conclusion
Acknowledgement
References
Personalized Automated Itineraries Generator for Tourism
Abstract
1 Introduction
2 Literature Review
2.1 Personalization Technique
2.2 Ant Colony Optimization
3 Proposed System
3.1 Attraction Data
3.2 User Preferences
3.3 Personalization Technique
3.4 Itinerary Route Generation
4 Experiment and Evaluation
4.1 Experiment Result
5 Conclusion
References
Virtual Training Environments in a Printing Company
Abstract
1 Introduction
2 Description of the Printing Technology
3 The Suggested Solution
3.1 Hardware
3.2 Software Tools
4 3D Models and Their Textures
5 An Application
6 Conclusion
References
Sentiment Analysis of Amazon Product Reviews
Abstract
1 Introduction
2 Details of the Approach
2.1 Data Preprocessing
2.2 Features
2.3 Building Models
2.4 Optimizations
2.5 Imbalanced Data
3 Results
4 Discussion and Conclusions
References
Attendance System with Face Recognition
1 Introduction
2 Theoretical Background
3 Methodology
4 Result
5 Conclusion
References
Predicting the Result of a Cricket Match by Applying Data Mining Techniques
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Collecting and Pre-processing
3.2 Feature Selection
3.3 Feature Scaling and Splitting Dataset
3.4 Applied Machine Learning Algorithms
4 Result and Analysis
5 Conclusion and Future Work
References
Clustering of Scientific Activity of Faculty Staff Based on the Results of Publication Activity
Abstract
1 Introduction
2 Materials and Methods
3 Analysis of Publication Activity Indicators
4 The Clustering Results
5 Discussions
6 Conclusion
References
Machine Learning and Metaheuristics can Collaborate: Image Classification Case Study
1 Introduction
2 Problem Formulation
3 Genetic Algorithm
4 Experiments
5 Conclusion
References
CLIPS Utilization for Automation of Models' Translation
Abstract
1 Introduction
2 Current State of the Problem
3 Decision on Problem Solution
4 Interaction of Distributed Storage of Models with CLIPS
5 Developing the Utilization of CLIPS Based on DotNet
6 Developing Interface and Debugging
7 Conclusion
Acknowledgments
References
Mean-Variance Portfolio Optimization Under Parametric Uncertainty
Abstract
1 Introduction
2 Methods
2.1 The Markowitz Model for Portfolio Optimization
2.2 Sensitivity Analysis of the Markowitz Model: Defining Initial Parameters
2.3 The Modified Markowitz Problem for Nominal, Conservative and Optimistic Formulation
3 Results
3.1 Portfolio Optimization Under Parametric Uncertainty
3.2 Verification of Portfolios with Optimistic, Conservative and Nominal Weight Distribution
3.3 Stability ('Robustness') Analysis of Assets' Parameters Estimates
4 Discussions
5 Conclusion
References
Ontology Based Recommendation System for Predicting Cultivation and Harvesting Timings Using Support Vector Regression
Abstract
1 Introduction
2 Related Work
3 The Proposed Approach
4 Experimental Results and Discussion
4.1 Appling ML Algorithms
4.2 Computing Crop Growth Indicator
4.3 Evaluating the Ontology Results
5 Conclusion and Future Work
References
New Metaheuristic for Priority Guillotine Bin Packing Problem with Incompatible Categories and Sequential Deformation
Abstract
1 Introduction
2 Literature Review
3 Statement of the Problem
4 Priority Packing Algorithm for Rectangles with Incompatible Groups and Dynamically Changing Bin Sizes
4.1 Priority Heuristic
4.2 New Sequential Metaheuristic Algorithm
5 Results
6 Conclusion
Acknowledgments
References
Modelling the Water Jet Trajectory of a Robotic Fire Monitor in the SimInTech Dynamic Modelling Environment
Abstract
1 Introduction
2 Methods
3 Results
4 Discussion
5 Conclusion
References
Methodological Basics of Yoghurt Formula Development for the Far North Population
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Conclusion
References
Improving MapReduce Process by Mobile Agents
Abstract
1 Overview
2 MapReduce
2.1 What is MapReduce
2.2 What is MapReduce
2.3 MapReduce Scheduling in Heterogeneous Environment
2.4 MapReduce Default Scheduling Algorithm
2.5 Causes of Stragglers
3 Relevant Work
4 Identification of Problem
5 Offered Work
5.1 Processing of Big Data by MapReduce Framework Based on Mobile Agent
5.2 Technique or Algorithm
5.3 Results
6 Conclusion
References
Industry 4.0 Visual Tools for Digital Twin System Design
Abstract
1 Introduction
2 Literature Review
3 Methods
4 Result
5 Discussion
6 Conclusion
Acknowledgements
References
Ontological Model for Risks Assessment of the Stages of a Smart-Technology for Predicting the "Structure-Property" Dependence of Drug Compounds
Abstract
1 Introduction
2 Statement of the Problem
3 Methods
3.1 QSAR Modeling
3.2 Ontological Approach
3.3 FMEA Methodology
3.4 Artificial Immune Systems
3.5 Smart-Technology for Predicting the "Structure-Property" Dependence of Drug Compounds with Desired Properties
4 Ontological Model for Risk Assessment of the Stages of a Smart-Technology Based on FMEA
4.1 FMEA-Based Risk Assessment Example
5 Discussion
References
An Iterative Approach for Crowdsourced Semantic Labels Aggregation
Abstract
1 Introduction
2 Related Work
3 Model and Method for Label Aggregation
4 Conclusion
Acknowledgement
References
Selection of the Most Informative Genes in the Task of Cancer Tumors Recognition Based on the Gene Expression Profile
Abstract
1 Introduction
2 Methods
2.1 Data
2.2 Preprocessing
2.3 Recognition Algorithm
2.4 Recognition Accuracy Evaluation
2.5 The Most Informative Genes Selection
2.6 Validation
3 Results
4 Discussion
5 Conclusion
Appendix
References
Assessment of the Possibility of Reception Errors of Aperiodic Pseudo-Random Sequences in the Arranged Countermeasures
Abstract
1 Introduction
2 Problem Setting
3 Formal Problem Setting
4 Justification of the Solution Method
5 Generation of the Formula for the Upper Bound Possibility of the Synchronizing Sequence Reception Error
6 Conclusions
References
Training and Application of Neural-Network Language Model for Ontology Population
1 Introduction
2 Overview of Existing Ontology Learning Approaches
3 Proposed Technology for Ontology Population
4 Evaluation
5 Conclusion
References
Skewness in Applied Analysis of Normality
Abstract
1 Introduction
2 Normality of Data in Quantitative Research
3 Exploration of Behaviour of Normality by Skewness
4 Results
5 Conclusion
References
Gradient-Based Algorithm for Parametric Optimization of Variable-Structure PI Controller When Using a Reference Model
Abstract
1 Introduction
2 Statement of the Problem
3 Optimization Algorithm
4 Checking the Performance of the Optimization Algorithm
5 Research Results
6 Conclusion
References
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