Computational Science and Its Applications - ICCSA 2019

Name: Computational Science and Its Applications - ICCSA 2019 | 19th International Conference, Saint Petersburg, Russia, July 1-4, 2019, Proceedings, Part I
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19th International Conference, Saint Petersburg, Russia, July 1-4, 2019, Proceedings, Part I

Sanjay Misra Osvaldo Gervasi Beniamino Murgante Elena Stankova Vladimir Korkhov Carmelo Torre Ana Maria A.C. Rocha David Taniar Bernady O. Apduhan Eufemia Tarantino(Editor)

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Published on 28. June 2019

XXX, 845 pages

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Content

Intro
Preface
Welcome to St. Petersburg
Organization
Contents - Part I
Computational Methods, Algorithms and Scientific Applications
A Variant of the George-Liu Algorithm
1 Introduction
2 A Variant of the George-Liu Algorithm for Finding Pseudoperipheral Vertices
3 Description of the Tests
4 Results and Analysis
5 Conclusions
References
Numerical Solution of Nonlinear Cross Diffusion Problems
1 Introduction
1.1 Some Necessary Terms and Definitions
1.2 The Cross-Diffusion Equations
2 Murakawas Method
3 Some Mathematical Properties of the Scheme (4)
4 Discretisation of (3) and (4) in Space
5 Solution Methods for the Linear Equations (5) and the Non-linear Systems (7)
6 Numerical Experiments - 1d
7 Numerical Experiments - 2d
8 Resumee
References
An Experimental Analysis of Heuristics for Profile Reduction
1 Introduction
2 Related Work
3 Description of the Tests
4 Results and Analysis
4.1 Comparison of the Results Obtained Using State-of-the-Art Metaheuristic Algorithm Against Five Low-Cost Heuristics
4.2 Results of Six Low-Cost Heuristics for Profile Reductions
5 Conclusions
References
Computational Peculiarities of the Method of Initial Functions
1 Introduction
2 Theoretical Model
3 Investigation of the Solution and Discussion
4 Conclusion
References
Clustering Data Streams: A Complex Network Approach
1 Introduction
2 Related Work
2.1 Challenges of Clustering Data Streams
2.2 Micro-clustering Approach
3 Prototype Network
4 Experiments
5 Conclusions
References
Normalized Gain and Least Squares to Measure of the Effectiveness of a Physics Course
Abstract
1 Introduction
2 Methodology
2.1 Evaluation
2.2 Population
2.3 Theoretical Fundaments (Gain and Least Squares)
2.4 Experimental Data (Conceptual Test)
2.5 Quantitative Analysis Results
3 Conclusions
References
A Model to Study the Strange Quark s- Asymmetry in Nucleon Sea
1 Introduction
2 A Model for the s- Asymmetry
2.1 The Model
2.2 Fit to x(s(x)-(x)) Data
2.3 Discusion of Effects of s(x)-(x)
3 The Effect of s(x)-(x) on the Determination of sin2W
4 Conclusions
References
Economical Sixth Order Runge-Kutta Method for Systems of Ordinary Differential Equations
1 Introduction
2 Structural Numerical Method
3 Conditions for the Sixth Order
4 Particular Computational Scheme
5 Numerical Convergence Test
6 Conclusion
References
Dynamic Public Transit Labeling
1 Introduction
2 Background
3 Dynamic Public Transit Labeling
3.1 Updating the Stop Labeling
4 Experimental Study
5 Conclusion
References
Mobile Localization Techniques Oriented to Tangible Web
1 Introduction
2 The Human Body Communication
2.1 Capacitive Coupling
3 Signal Analysis on Mobile Environments
4 The Electronic Apparatus
5 The Implemented Libraries in Android
6 The Use Case: Art for Everyone
7 Conclusions and Future Work
References
Influence of Drivers' Behavior on Traffic Flow at Two Roads Intersection
1 Introduction
2 Nagel-Schreckenberg Model with Driver's Behavior
3 Intersection Model
4 Numerical Results and Discussion
4.1 The Deterministic Case (pb = 0)
4.2 Probabilistic Cases ( P b =0)
5 Conclusions
References
Quantify Physiologic Interactions Using Network Analysis
1 Introduction
2 Methods
3 Datasets
4 Results
5 Conclusion
6 Discussion
References
Effects in the Algorithm Performance from Problem Structure, Searching Behavior and Temperature: A Causal Study Case for Threshold Accepting and Bin-Packing
Abstract
1 Introduction
2 Reviewing State of Art: Information and Analysis Approaches
3 Proposed Framework: Causal Analysis and Proposed Features
3.1 Causal Analysis
3.2 Characterizing One Dimension Bin-Packing Problem
3.3 Characterizing the Threshold Accepting Algorithm: Searching Fluctuation
3.4 Characterizing Algorithm Performance
4 Causal Study Case of Relation Between Bin-Packing Problem and Threshold Accepting
4.1 Discovering Causal Structure
4.2 Understanding Discovered Knowledge: Design of Self-adaptive Algorithm
5 Results Verification
6 Conclusions
References
Towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking
1 Introduction
2 Background
2.1 Active Measurement Mechanisms
2.2 Delay/Disruption-Tolerant Management
3 Delay/Disruption-Tolerant Measurement Protocol (DTWAMP)
3.1 Messages Format
3.2 Implementation
4 Evaluation
4.1 Experimental Environment
4.2 Experiments
4.3 Discussion
5 Related Work
6 Final Remarks
References
A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking
1 Introduction
2 Background
2.1 Homenet
2.2 Software-Defined Networking (SDN)
3 Proposal for Mitigation IP Spoofing in Homenet at Origin Using SDN
4 Evaluation
4.1 Experimental Scenario
4.2 Development and Implementation of the Proposed Solution
4.3 Experiments
5 Related Work
6 Conclusions and Future Work
References
Parallel OpenMP and CUDA Implementations of the N-Body Problem
1 Introduction
2 The Gravitational N-Body Problem
2.1 The All-Pairs Algorithm
2.2 The Barnes-Hut Algorithm
3 Related Work
4 Proposed Methodology
4.1 Parallel All-Pairs Algorithm in OpenMP and CUDA
4.2 Parallel Barnes-Hut Algorithm in OpenMP
5 Evaluation, Results, and Analysis
6 Conclusions
References
Minimizing the Energy of a Quad Rotor in Free Final Time Using Bocop Software
1 Introduction
2 Quad-Rotor Mathematical Model
2.1 Rotational Equations of Motion
3 Translation Equations of Motion
3.1 Control Input Vector u
4 Simulation and Discussion
5 Conclusion
References
High Performance Computing and Networks
Modeling Energy Consumption Based on Resource Utilization
1 Introduction
2 Modeling Energy Consumption from Resource Consumption Data
2.1 Modelling Approach
2.2 Data Collection
2.3 Testbed Used for Experiments
3 Variables Analysis and Selection
3.1 Feature Engineering
3.2 Variable Selection
3.3 Dependent Variable Analysis
4 Modeling Power Consumption
4.1 Multiple Linear Regression
4.2 Regression Tree - RET
4.3 Multilayer Perceptron
5 Evaluating the Proposed Models
5.1 Employed Accuracy Metrics
5.2 Models Accuracy
6 Related Work
7 Conclusion
References
Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring
1 Introduction
2 Related Work
3 Silent Consensus
3.1 Next Packet Prediction
3.2 Prediction Synchronization
4 Evaluation
4.1 Forecasting TCP Sequence Numbers
4.2 Silent Consensus
5 Conclusion
References
A Knowledge-Based Computational Environment for Real-World Data Processing
Abstract
1 Instruction
2 Background
2.1 Data Processing
2.2 Reviews of Recommendation Systems of Data Processing
2.3 Ontology Technology
3 Construction of KBCE
3.1 Basic Structure
3.2 Creation of Classes
3.3 Definition of Property
4 Generation of Data Processing Process Based on KBCE
5 Case Study
6 Conclusion
References
Geometric Modeling, Graphics and Visualization
Adaptive Hierarchical Mesh Detail Mapping and Deformation
1 Introduction
2 Related Work
3 Problem Definition
4 Methodology
5 Proposed Method
5.1 Construction of the Mesh's Representation
5.2 Deformation
5.3 Adaptive Refinement
6 Operators
6.1 Subdivision
6.2 Smoothing
6.3 Feature-Based Query Operator
6.4 Geometric Operators
6.5 Composite Operators
7 Results
8 Conclusion
References
Multithreading in Laser Scanning Data Processing
Abstract
1 Introduction
2 Materials and Methods
2.1 Point Cloud Loading and Pre-processing
2.2 Existing Approaches
2.3 Background
3 Results and Discussion
3.1 Loading with Temporary Buffer
3.2 Parallel Loading and Preprocessing
3.3 Third-Party Libraries
4 Conclusions
Acknowledgements
References
Airborne Object Detection Using Hyperspectral Imaging: Deep Learning Review
1 Introduction
2 Data Pre-processing Methods
2.1 Hyperspectral Data Representations
2.2 Challenges and Pre-processing Techniques
3 Object Detection Methods
3.1 Two-Step Approaches
3.2 One-Step Approaches
4 HSI Datasets
5 Existing Performance Comparisons
6 Experiments
6.1 Settings
6.2 Experimental Results
7 Conclusion
8 Discussion
References
A New Strategy for Scattered Data Approximation Using Radial Basis Functions Respecting Points of Inflection
1 Introduction
2 Radial Basis Functions
2.1 Radial Basis Function Approximation
3 Proposed Approach
3.1 Determination of Extreme Points
3.2 Determination of Inflection Points
3.3 RBF Approximation with Respecting Inflection Points
4 Experimental Results
5 Conclusion
References
Efficient Simple Large Scattered 3D Vector Fields Radial Basis Functions Approximation Using Space Subdivision
1 Introduction
2 Proposed Approach
2.1 Space Subdivision
2.2 Cells RBF Approximation
2.3 Reconstruction Function and Cells Blending
2.4 Speed-Up of the Proposed Approach (Approximation)
2.5 Speed-Up of the Function Evaluation
3 Experimental Results
3.1 Synthetic Data Set
3.2 Real Data Set
4 Conclusion
References
Human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms
1 Introduction
2 Related Work
3 Proposed Method
3.1 Visual Rhythm
3.2 Symmetric Extension with Fixed Stride Crops
3.3 Video Classification Protocol
4 Experimental Results
4.1 Visual Rhythm Parameterization
4.2 Multi-stream Classification Using Visual Rhythms
5 Conclusions and Future Work
References
Simple and Fast Oexp(N) Algorithm for Finding an Exact Maximum Distance in E2 Instead of O(N^2) or O(N lgN)
Abstract
1 Introduction
2 Brute Force Algorithm
3 Convex Hull Diameter
4 Proposed Algorithm
5 Experimental Results
6 Conclusion
Acknowledgments
References
Advanced and Emerging Applications
A Machine Learning Approach to the Early Diagnosis of Alzheimer's Disease Based on an Ensemble of Classifiers
Abstract
1 Introduction
2 Materials and Methods
2.1 Data and Instruments
2.2 Organisation of the Experiment
3 Results
3.1 Specificity or True Negative Rate
3.2 Sensitivity or True Positive Rate
3.3 ROC Curve
3.4 Confusion Matrix
4 Discussion and Conclusion
Acknowledgment
References
Low Bit Rate 2D Seismic Image Compression with Deep Autoencoders
1 Introduction
2 Proposed Method
2.1 Probabilistic Autoencoder
2.2 Training Scheme
2.3 Inference Scheme
3 Experimental Results
3.1 Training Protocol
3.2 Results and Discussion
4 Conclusions
References
Application of Artificial Intelligence Methods in Sustainable Building Design
Abstract
1 Introduction - New Challenges in the Architectural and Construction Design Process
2 Comparison of Traditional Design Methods and Advanced Tools and Platforms to Improve the AEC Project Process
3 Application of Artificial Intelligence Methods in the Design Process
3.1 Possibilities of Using KBE in the AEC Project Process
3.2 Possibilities and Limitations of Using the Fuzzy Logic Method in Architectural Design
3.3 The Use of Pareto Front and Genetic Algorithm in the Architectural Design
3.4 Possibilities of Using Monte Carlo Simulation in the Early Stage of Designing Energy-Saving Construction
4 Proposed Development of the Research
4.1 Application of Artificial Intelligence Methods in the Implementation Stage of Design Process
4.2 Application of Artificial Intelligence Methods to Assume Required Daily Light Provision for Representative Room
5 Conclusions
Acknowledgment
References
Information Systems and Technologies
Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region
Abstract
1 Introduction
2 Comprehensive Estimation of Natural and Anthropogenic Territory Safety
2.1 The Object of Study
2.2 The Technique of Comprehensive Estimation of Natural and Anthropogenic Territory Safety
3 Algorithm of the Integral Estimation of the State of Natural and Anthropogenic Territory Safety
4 Application of the Algorithm for Integral Estimation of the State of Natural and Anthropogenic Territory Safety
5 Conclusion
References
Investigation of the Hydraulic Unit Operation Features Based on Vibration System Data Mining
Abstract
1 Introduction
2 Monitoring Data Description
3 Multi-dimensional Analysis of Vibration Monitoring Data
3.1 Principal Component Analysis
3.2 Cluster Analysis
4 Conclusion
References
The Use of Spaceborne and Oceanic Sensors to Model Dengue Incidence in the Outbreak Surveillance System
Abstract
1 Introduction
2 A Dengue Incidence Modeling Method
2.1 Study Area
2.2 Remote Sensing and Oceanic Nino Index Data
2.3 Modeling Process
3 Model Evaluation and Results
4 Conclusion
Acknowledgment
References
Anomaly Detection with Machine Learning Technique to Support Smart Logistics
Abstract
1 Introduction
2 Literature Review
3 Modeling Method for Anomaly Detection
3.1 Product Order Data Characteristics
3.2 Modeling Process
4 Model Creation and Evaluation Results
4.1 Anomaly Detection Model
4.2 Model Performance Enhancement
5 Conclusion
Acknowledgment
References
Educational Data Mining: A Profile Analysis of Brazilian Students
1 Introduction
2 Educational Data Mining
2.1 Mining Techniques
2.2 Association Algorithms
2.3 Related Works
3 Method
4 Analysis of Results
5 Conclusion
References
The Pollicina Project: A Social Learning Management System to Create Personalized Cultural Itineraries
1 Introduction
2 The Pollicina Project
3 The ArtTour Service
3.1 Phase 1: Settings of the Cultural Path
3.2 Phase 2: Development of the Cultural Path
3.3 Phase 3: Choice of the Cultural Heritage Objects
3.4 Phase 4: Planning of the Cultural Path in the Territory
4 User Centered Design Evaluations
5 Conclusions and Future Work
References
Use of AHP and Promethee for Research Project Portfolio Selection
1 Introduction
2 Background
2.1 Analytic Hierarchy Process
2.2 Promethee
2.3 Related Works
3 Research Methodology
3.1 Identification and Structuring of the Problem
3.2 Construction of the Proposed Model
4 Results and Discussion
5 Conclusion
References
A Two-Phase Bug Localization Approach Based on Multi-layer Perceptrons and Distributional Features
1 Introduction
2 Problem Statement
3 Approach
3.1 Phase 1: Multi-layer Perceptron Network
3.2 Phase 2: Distributional-Based Localization
4 Experiments
4.1 Dataset
4.2 Measures
4.3 Evaluation of Phase 1
4.4 Evaluation of Phase 2
4.5 Discussion
5 Related Work
6 Conclusion and Future Work
References
Development of a Technological Platform for Knowledge Discovery
1 Introduction
2 The Model of the Fuzzy Domain KB Content with Contexts Support
2.1 The Inference on the Contents of KB
3 Extracting Knowledge from Wiki-Resources
4 The Architecture of the Technological Platform
5 Experiments
5.1 Comparison of the Inference by Fuzzy and Crisp Ontologies
6 Conclusion
References
Integration of Fuzzy OWL Ontologies and Fuzzy Time Series in the Determination of Faulty Technical Units
Abstract
1 Introduction
2 Fuzzy Time Series and Fuzzy Ontology Model
3 Subject Area
4 FTS and Fuzzy Ontology Integration System
5 Experiments
6 Conclusion
Acknowledgments
References
Usage of Multiple RTL Features for Earthquakes Prediction
1 Introduction
2 Problem Statement
3 Data
4 Methods
4.1 RTL Features
4.2 Normalization of RTL Features
4.3 Classifiers
4.4 Resampling Techniques
5 Results
5.1 Models for RTl Features Generated with a Single Pair of Hyperparameters (r0, T0)
5.2 Aggregation of a Number of RTL Features
5.3 Usage of Resampling Techniques
6 Conclusion
A Quality Metrics for Classification Problem
References
Privacy vs. Utility: An Enhanced K-coRated
Abstract
1 Introduction
2 Background and Related Work
3 Methodology
3.1 Introduction to K-coRated
3.2 Utility Concern and Solutions
3.3 Less Modifications: K-Means
3.4 Less Modification: L2L
3.5 Better Prediction
4 Experiments and Results
4.1 Experiment Design
4.2 Privacy
4.3 Utility: Number of Ratings
4.4 Utility: Performance of CF
5 Conclusions and Future Work
References
Polarity Classification of Tweets Considering the Poster's Emotional Change by a Combination of Naive Bayes and LSTM
1 Introduction
2 Related Work
2.1 Emotion Analysis for Social Media
2.2 Emotion Detection and Classification
2.3 Position of This Study
3 Polarity Classification Considering Emotional States
3.1 Dependency Analysis
3.2 Calculating Category Scores by Naive Bayes
3.3 Estimating Emotional State by LSTM
3.4 Weighting Category Score Based on Predicted EST
3.5 Polarity Classification Based on Weighted Category Scores
4 Experiments and Discussion
4.1 Dataset and Preparation
4.2 Dependency Analysis and Category Scoring by Naive Bayes
4.3 Estimating Emotional States and Weighting Scores
4.4 Results and Discussions
5 Conclusion
References
Investigating Cyclic Visit Pattern of Mobility Through Analysis of Geopositioning Data
1 Introduction
2 Existing Research
3 Temporal Analysis on Mobility Pattern
3.1 Considerations
3.2 Timing Analysis Based on Time Slice Window
4 Analyzed Results
4.1 Analyzed Results of Cyclic Revisit Time to Location Clusters
5 Conclusion
References
Finding the Best Location for Logistics Hub Based on Actual Parcel Delivery Data
1 Introduction
2 Process Outline
2.1 Source Data Set
2.2 Route Data Set
2.3 Longest Common Route Subsequence
2.4 Voting for Optimal Hub Location
3 Experimental Results
3.1 Visualization of Source Data
3.2 Visualization of Route Data
3.3 Experimental Results About LCRS Data
3.4 Voting Results About LCRS Data
3.5 Candidate Location for Logistic Hub
4 Conclusions and Future Research
References
Ensuring the Consistency Between User Requirements and Graphical User Interfaces: A Behavior-Based Automated Approach
Abstract
1 Introduction
2 Foundations
2.1 Behavior-Driven Development
2.2 Ontological Support for GUI Automated Testing
3 The Proposed Approach for Automated Assessment
3.1 Implementation
4 Case Study
4.1 Methodology
4.2 Results
4.3 Discussion and Limitations
5 Conclusion
References
Applying a Multilayer Perceptron for Traffic Flow Prediction to Empower a Smart Ecosystem
1 Introduction
2 Related Work
3 Proposal
3.1 Model Specification
3.2 Data Cleaning and Pre-processing
3.3 Test/Train Split
3.4 Test and Evaluation Results
4 Evaluation
4.1 PeMS
4.2 SmartTraffic Project
5 Conclusion
References
An Approach for Improving Automatic Mouth Emotion Recognition
1 Introduction
2 Problem Description and Proposed Solution
3 State of the Art
4 The Proposed Emotion Recognition Engine
4.1 The Structure of the EmEx2 CNN
4.2 The Structure of the AlexNet CNN
5 Image Collection and Training Phase
6 Experiments Design and Results
6.1 Single-User Test
6.2 Multiple-Users Test
6.3 Cross Test
7 Conclusions and Future Work
References
Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks
1 Introduction
2 Related Work
3 Background
3.1 Supervised Classifiers
4 Methodology and Framework Description
5 Preliminary Results
5.1 Experimental Setup
5.2 Results
6 Conclusions and Future Work
References
Equid-A Static Analysis Framework for Industrial Applications
1 Introduction
1.1 Industrial Applications
2 Operation Schema and Classes of Detectable Errors
3 Processing Architecture
3.1 AST Support
3.2 Languages
4 Virtual Machine Framework for Flow and Context Sensitivity
4.1 Virtual Machine Language
4.2 Hypervisor and Virtual Machines
5 Solver Architecture
5.1 Type System
5.2 SMT Solver Backend
5.3 Abstract Interpreter
5.4 The Multi Solver
6 Common Infrastructure
6.1 Detectors
6.2 Standard Library
7 Evaluation
7.1 Syntax Construct Support
7.2 Common Errors and Contract Violations
7.3 Toyota ITC Benchmarks
7.4 Querying Code
7.5 The Computational Cost of the Approach
8 Related Work
9 Future Work
10 Conclusion
References
Metalanguage and Knowledgebase for Kazakh Morphology
Abstract
1 Introduction
2 Related Works
3 Metalanguage for Kazakh Morphology
4 Knowledgebase for Kazakh Morphology
4.1 Architecture
4.2 Implementation
5 Conclusion
Acknowledgments
References
A Bayesian Information Criterion for Unsupervised Learning Based on an Objective Prior
1 Introduction
1.1 Information Measures Underfitting/Overfitting
1.2 Objective Priors
2 A Bayesian Information Criterion Based on an Objective Prior
2.1 Basic Definitions
2.2 The Bayesian Criterion for Optimal Decision
2.3 The Objective Prior Distribution of Number Partitions
2.4 Other Criteria
3 Evaluating Unsupervised Learning Results
4 Conclusion
References
Methods for Analyzing Polarity of the Kazakh Texts Related to the Terrorist Threats
Abstract
1 Introduction
2 Method for Analyzing Text Polarity
3 Parser and Database
4 Morphological Analysis
5 Syntax Analyzer
6 Sentiment Analysis
7 Evaluation of Results
8 Conclusion
References
Evaluation of Bio-Inspired Algorithms in Cluster-Based Kriging Optimization
Abstract
1 Introduction
2 Background
2.1 Kriging
2.2 KNN
2.3 K-Means
2.4 Genetic Algorithm
2.5 Differential Evolution
2.6 Particle Swarm Optimization
2.7 Cost Function and Evaluation Metric
3 Methodology
3.1 Data Preprocessing
3.2 Data Clustering
3.3 Optimization Phase
3.4 Classification and Kriging
4 Tests and Results
4.1 Database (Study Area)
4.2 Experiments
5 Conclusions
References
Matching Ontologies with Word2Vec-Based Neural Network
1 Introduction
2 Word2Vec Model
3 Neural Network Description
3.1 Structure
3.2 Learning
4 Ontology Matching Model
5 Ontology Matching Model Implementation
6 Evaluation
7 Conclusion
References
Improving the Performance of an Integer Linear Programming Community Detection Algorithm Through Clique Filtering
1 Introduction
2 Modularity Maximization via ILP
3 Clique Filtering
4 Clique Filter (CF) Algorithm
5 Experimental Results
6 Conclusions
References
Dealing with Uncertainty in Software Architecture on the Internet-of-Things with Digital Twins
Abstract
1 Introduction
2 Motivating Case Study for Dealing with Uncertainty in SoS
2.1 Essentials for Architecting Platoons of Self-Driving Vehicles on the IoT
2.2 Uncertainty in the Self-Driving Vehicle Platooning SoS
3 Extending SosADL for IoT Under Uncertainty
3.1 Enhancing SosADL with Digital Twins for Architecting SoS on the IoT
3.2 Handling Uncertainty for Architecting SoS on the IoT
4 Describing SoS Architecture for IoT Under Uncertainty
4.1 Emergent Behavior for the Platooning SoS of Self-Driving Vehicles
4.2 SoS Architecture Description with Uncertainty for UGV-Based Platooning
5 Implementation of SosADL Studio for IoT with Uncertainty
6 Related Work
7 Conclusion and Future Work
References
A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications
1 Introduction
2 Literature Review
3 Environmental Water Quality Parameters
4 DSS Architecture
5 Business Cases
5.1 Stakeholders Involved
5.2 Business Models
6 Preliminary Experimental Results
7 Conclusions and Future Work
References
Binomial Characterization of Cryptographic Sequences
1 Introduction
2 Preliminaries
2.1 Binary Sequences
2.2 The Family of Generalized Sequences
3 Binomial Sequences
4 Binomial Characterization of Generalized Sequences
4.1 Partition of the Generalized Sequences
4.2 Obtaining Generalized Sequences from Different Groups
5 Conclusions
References
Supply Chain Simulation in a Big Data Context: Risks and Uncertainty Analysis
Abstract
1 Introduction
2 Related Work
3 Supply Chain Characterization
4 Proposed Approach
5 Supply Chain Simulation in a Big Data Context
5.1 Supply Risks
5.2 Demand Risks
6 Conclusions
Acknowledgments
References
Text Classification for Italian Proficiency Evaluation
1 Introduction
2 A Text Proficiency Classification Architecture
2.1 Data Set Transformation and Cleaning
2.2 Extraction of Basic Linguistic Structures
2.3 Classifier Training
3 Linguistic Features Extraction
4 Classifiers for Text Features
4.1 Nested Cross Validation
4.2 Decision Trees
4.3 Random Forests
4.4 SVM
5 Experiments Design and Results
6 Conclusions
References
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Computational Science and Its Applications - ICCSA 2019

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