Convergent Cognitive Information Technologies: Third International Conference, Convergent 2018, Moscow, Russia, November 29 – December 2, 2018, ... in Computer and Information Science, 1140)

Preface\nOrganization\nContents\nTheoretical Questions of Computer Science, Computational Mathematics, Computer Science and Cognitive Information Technologies\nModeling of Financial Asset Prices with Hyperbolic-Sine Stochastic Model\n	1 Introduction\n	2 Hyperbolic-Sine Local Volatility Model\n	3 Transition Probability Density Function in HS Model\n	4 Option Pricing in HS Model\n	5 Breeden-Litzenberger Formula in HS Model\n	6 Dupire Formula in HS Model\n	7 Conclusion\n	References\nOn Mathematical Visualization in Education\n	1 Motivation\n		1.1 Images in Mathematics\n		1.2 Symbolic Mathematics\n	2 Visualization in Education\n		2.1 Computer Technologies in Pedagogy\n		2.2 Problem Statement\n		2.3 An Interactive System Concept\n	3 The Design Requirements and an Overview of the Existing Solutions\n		3.1 What Should a Visualization System Be Like\n		3.2 Overview of the Existing Systems\n		3.3 VisualMath.ru Web Application\n		3.4 Grafar, a Library for Three-Dimensional Interactive Visualization\n		3.5 Skeleton\n	4 Results and Conclusion\n		4.1 Examples of Skeleton Programs\n		4.2 Grafar Examples\n	References\nCognitive Computing Cybersecurity: Social Network Analysis\n	Abstract\n	1 Introduction\n	2 Summary\n	References\nApplication of the Multi-layer Method and Method of Continuing at the Best Parameter to the Solving of a Stiff Equation\n	Abstract\n	1 Introduction\n	2 Numeric Method of Prolongation by the Best Parameter and Original Approximately Analytical Method\n	3 Analytical Solution of the Problem by a Multilayer Method\n	Acknowledgments\n	References\nForecasting News Events Using the Theory of Self-similarity by Analysing the Spectra of Information Processes Derived from the Vector Representation of Text Documents\n	Abstract\n	1 Introduction\n	2 Literature Review\n	3 The Model for Forecasting News Events Based on Information Process Spectrums Analysis with the Hurst Self Similarity Method\n		3.1 Extracting Spectrums of Information News Processes from Text Documents\n		3.2 Mathematical Model to Analyse the Presence of Long-Term Dependencies in the Spectra of Information Processes\n		3.3 Research Methodology\n		3.4 Experiential Analysis of the Results Obtained\n	4 Conclusions\n	Acknowledgment\n	References\nOrganization of Information System for Semantic Search Based on Associative Vector Space\n	Abstract\n	1 Introduction\n	2 Objective\n	3 Application of Associative Vector Spaces\n	4 Results Obtained\n	5 Conclusion\n	Acknowledgement\n	References\nAlgorithm for Solving Ordinary Differential Equations Using Neural Network Technologies\n	Abstract\n	1 Introduction\n	2 Related Work\n	3 Formulating the Research Problem\n	4 Neural Network Approach to Solving the Problem\n	5 The Reduction to the Problem of Minimization\n	6 Algorithm of Neural Network Approach for Solving an ODE of the 1st Order\n	7 Experimental Results\n		7.1 Neural Network Approach as an Alternative to Numerical Methods\n		7.2 The Problem of Overtraining the Neural Network on a Particular Example\n	8 Conclusion\n	Acknowledgments\n	References\nAn Equivalence Relation on the Class of Regular Languages\n	1 Introduction and Motivation\n	2 Preliminaries\n	3 The Concepts of Simplified Automaton and Simplified Regular Language\n	4 Some Complex Properties of the Considered Equivalence Relation\n	5 Equivalent Simplified Languages\n	6 Automata with No Parallel Letters\n	7 Conclusion\n	References\nA Semiotic Model Mapping and Reduction Properties\n	Abstract\n	1 Introduction\n	2 Related Research\n	3 Relations\n		3.1 Relations Inter Objects of a Subject Area\n		3.2 Relations of Ontology Concepts\n		3.3 Relations Between Signs of a Model\n	4 Model Mapping Property\n		4.1 Conceptualization Mapping\n		4.2 Semantic Mapping\n		4.3 Representation Mapping\n	5 Model Reduction Property\n	6 Conclusion\n	References\nCognitive Information Technologies in Control Systems\nSpectral MIMO H∞-Optimization Problem\n	Abstract\n	1 Introduction\n	2 Problem Statement\n	3 Spectral Approach to H∞ Optimization\n	4 Polynomial Matrix Interpolation Technique\n	5 Transfer Matrices of the Optimal Closed-Loop Systems\n	6 Example of Synthesis\n	7 Conclusion\n	References\nPath Planning of Mobile Robot Based on an Improved Ant Colony Algorithm\n	Abstract\n	1 Introduction\n	2 Traditional Ant Colony Algorithm\n	3 Selection of the Main Parameters in Algorithm\n		3.1 Selection of the Number {\\varvec M} of Ants\n		3.2 Selection of the Pheromone Volatilization Factor {\\varvec \\rho}\n		3.3 Selection of the Heuristic Factors\n	4 Improved Ant Colony Algorithm\n		4.1 Only to Improve the Pheromone Volatilization Factor {\\varvec \\rho}\n		4.2 Only to Improve the Pheromone Intensity Factor {\\varvec Q}\n		4.3 Improve the Pheromone Volatilization Factor {\\varvec \\rho} and the Pheromone Intensity Factor {\\varvec Q} at the Same Time\n	5 Conclusion\n	References\nAlgorithm for Customers Loss Minimization with Possible Supply Chain Disruption\n	Abstract\n	1 Introduction\n	2 Mathematical Formalization\n		2.1 Model with no Supply Disruption\n		2.2 Model with Probable Supply Disruptions\n	3 Forming a Strategy of Behavior\n		3.1 First Strategy\n		3.2 Second Strategy\n	4 Conclusion\n	References\nRegulation of the Crowd Dynamic Objects Flight Through the Narrow Tunnel\n	Abstract\n	1 Introduction\n	2 Mathematical Model\n	3 Homogeneous System Stability\n	4 Conclusion\n	References\nFinancial Risk Assessment in the SiU8 Futures Trading Using Neural Network Based on the SAR-Method\n	Abstract\n	1 Introduction\n	2 Results and Discussion\n	3 Discussion\n	4 Conclusion\n	Acknowledgments\n	References\nSome Questions of Trajectory Control of Quadrotor Motion\n	Abstract\n	1 Introduction\n	2 Mathematical Model\n	3 Control System Design\n	4 Numerical Results\n	Acknowledgments\n	References\nDynamics Characteristics Optimization for the UAV Ensemble of Motions\n	Abstract\n	1 Introduction\n	2 Mathematical Model of UAV\n		2.1 The Problem of Stabilization the External Disturbances\n		2.2 Programmable Motion\n		2.3 Optimization of Movement Ensemble and Control System Design\n	3 Example of Modeling in MATLAB\n	4 Conclusion\n	References\nApplication the Evolutional Modeling to the Problem of Searching the Optimal Sensors Location of Fire-Fighting System\n	Abstract\n	1 Introduction\n	2 Method of Decision-Making About Occurrence of Fire\n	3 Justification of the Choice of Evolutionary Optimization Algorithm\n	4 Application of the Genetic Algorithm to the Problem of the Optimal Sensors Location\n		4.1 Forming an Initial Set of Sensor Group Locations\n		4.2 Fitness Function for Estimating the Average Reaction Time of a Set of Sensors for Fire Start for Various Sources of Ignition\n		4.3 Selection\n		4.4 Crossing\n		4.5 Mutation\n	5 Using the Developed Genetic Algorithm to Find the Optimal Sensors Locations in the Simulated Room\n	6 Conclusion\n	References\nAdaptive System Monitoring of the Technical Condition Technological Objects Based on Wireless Sensor Networks\n	Abstract\n	1 Introduction\n	2 Determining the Priority of MI in Identifying Alarm Signals\n	3 Sensor Network Monitoring System\n	4 Implementation of the Collection and Processing of MI at the Network Level\n	5 Conclusion\n	References\nDisaster Tolerance of On-Board Control Systems for Ground Robots\n	Abstract\n	1 Introduction\n	2 The Concept of Disaster Tolerance\n	3 Reliability Indicators\n	4 GRS Modes\n	5 Disaster Tolerance of the Onboard Computer System\n	6 The Algorithm of Reconfiguration of the Onboard Computer Network After Failure\n	7 Distributed Data Storage\n	8 Load Distribution in Case of Failure\n	9 Conclusion\n	Acknowledgments\n	References\nApplication of the Asymptotic Observers for the Stabilization of the Time-Delay Linear Equations\n	Abstract\n	1 Introduction\n	2 Task Description\n	3 Computer Modelling\n	4 Conclusion\n	References\nMulti-purpose Control of a Moving Object Using Computer Vision Algorithms\n	1 Introduction\n	2 Statement of Visual Positioning Problem\n	3 Control System Design Using Multi-purpose Approach\n		3.1 Synthesis of the Basic Control Law and the Asymptotic Observer\n		3.2 Synthesis of the Dynamical Corrector\n	4 Practical Example\n	5 Conclusion\n	References\nStabilization of the Underactuated Robot on the Visual Trajectory\n	Abstract\n	1 Introduction\n	2 Task Description\n	3 Visual Servoing\n	4 Multipurpose Regulator\n	5 Computer Modeling\n	6 Conclusion\n	Acknowledgments\n	References\nSimplified Rotor Angular Velocity Estimation for a Permanent Magnets Synchronous Motor by Current and Voltage Measurements\n	1 Introduction\n	2 Problem Statement\n	3 Main Result\n		3.1 Angular Velocity Estimation\n	4 Numerical Examples\n	5 Conclusion\n	References\nBig Data and Applications\nOn Data Analysis of Software Repositories\n	Abstract\n	1 Introduction\n	2 Recurrent Neural Networks\n	3 Other Machine Learning Models\n	4 Clustering\n	References\nDevelopment of BI-Platforms for Cybersecurity Predictive Analytics\n	Abstract\n	1 Introduction\n		1.1 Possible State of Art\n		1.2 BI-Security Platform Requirements\n	2 BI-Security Platform Startup\n	3 Expected Results\n	4 Conclusion\n	References\nImproving the Target Quality Chat-Bots on the Basis of Linguistic Metametric Text\n	Abstract\n	1 Introduction\n	2 Stages of the Formation of a Virtual Personality Through the Analysis of Speech Behavior\n	3 Development of Speech Behavior Analysis MetaMetrics\n	4 Using Third-Party Page Metadata to Increase Trust in Dialogue\n	5 Conclusion\n	Acknowledgement\n	References\nNew Methods of the Cybersecurity Knowledge Management Analytics\n	Abstract\n	1 Introduction\n		1.1 Possible State of Art\n		1.2 Cybersecurity Ontology\n	2 Cybersecurity MDM Principles\n		2.1 MDM Cybersecurity System Example\n	3 Conclusion\n	References\nThe Internet of Things (IoT): Standards, Communication and Information Technologies, Network Applications\nOn a New Approach to Neighbor Discovery as Data Sharing Tool\n	Abstract\n	1 Introduction\n	2 On Related Works\n		2.1 On Facebook Patents\n		2.2 Wi-Fi and Bluetooth Proximity Mean\n		2.3 Apple iBeacons\n		2.4 Google’s BLE Tag\n		2.5 Beacon Stuffing\n		2.6 SSID Use\n	3 On a New Approach to Neighbor Discovery in Bluetooth\n		3.1 On Implementation\n	4 On a New Approach to Neighbor Discovery in Wi-Fi\n		4.1 Probe Request\n		4.2 Beacon Stuffing\n		4.3 Wi-Fi Direct\n		4.4 Wi-Fi Aware\n		4.5 On Implementation\n	5 Conclusion\n	References\nSmart Cities: Standards, Cognitive-Information Technologies and Their Applications\nResearch of Urban Residents Involvement in Environmental Processes Using a Mobile Environmental Application\n	Abstract\n	1 Introduction\n	2 Research Tool\n		2.1 Mobile Environmental Application\n		2.2 Questionnaire\n	3 Research Procedure\n	4 Processing of Results\n	5 Conclusion\n	References\nUsing Augmented Reality Technology to Improve the Quality of Transport Services\n	Abstract\n	1 Introduction\n	2 Problems and Methods\n	3 Algorithm\n	4 Software Example\n	5 Results and Comparisons\n	6 Conclusion\n	References\nCognitive Information Technologies in the Digital Economics\nAbout the Digital Economy Software\n	Abstract\n	1 Introduction\n	2 Criticism of the DE Program in the “Digital Economy Infrastructure” Direction\n	3 Information Systems Architecture: Zachman Model\n	4 About the Development of DoDAF\n	5 LML\n	6 Criticism of the Zachman Model\n	7 About Internet of Things Programming\n	8 About Open Interfaces\n	9 Manpower for the Digital Economy\n	10 Conclusions\n	References\nDigital Transformation of Transport\nBig Data Processing of Commodity Flows in the Transport and Economic Balance of the Russian Federation\n	Abstract\n	1 Introduction\n	2 Research Objectives\n		2.1 Main Sources of Research\n	3 The Structure of the Transport and Economic Balance of the Russian Federation\n	4 Construction of the Transport and Economic Balance\n	5 The Application of the Transport and Economic Balance\n	References\nMobile Technologies in Intelligent Transportation Systems\n	Abstract\n	1 Introduction\n	2 Problems\n	3 Methods\n	4 Software Example and Results\n	5 Conclusion\n	References\nDigital Railway and How to Move from GSM-R to LTE-R and 5G\n	Abstract\n	1 Introduction\n	2 Looking for Parallels: Pentagon Case\n		2.1 Joint Vision 2010\n		2.2 Joint Vision 2020: Transition to IP Protocol\n		2.3 The Failure of the DISN Cybersecurity Management Project\n		2.4 Resume\n	3 GSM-R Basics\n		3.1 ERTMS System Overview\n		3.2 Radio Channels and Available Frequencies\n	4 Discussion: The Future of Railway Radio\n		4.1 The Biggest Challenge\n		4.2 Research\n	5 The Great Moscow Agglomeration Case\n		5.1 Moscow Metro and Wi-Fi and LTE\n		5.2 Moscow Central Circle and GSM-R Network\n		5.3 Moscow Central Diameters\n	6 Further Work\n		6.1 Wireless Sensor Network\n		6.2 Industrial Internet of Things\n	References\nApplied Optimization Problems\nBasic Concepts of the Elective Course on the Hard Computing Problems\n	1 Introduction and Motivation\n	2 Some Simple Examples and Some Terms\n		2.1 The First Example: State-Minimization of NFA\n		2.2 The Second Example: Minimization of DNF\n		2.3 The Third Example: Traveling Salesman Problem\n	3 The State Space\n	4 Greedy Algorithms and Their Drawbacks\n	5 More Complicated Heuristics\n	6 Conclusion\n	References\nAuthor Index