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 III
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19th International Conference, Saint Petersburg, Russia, July 1-4, 2019, Proceedings, Part III

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, 728 pages

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978-3-030-24302-9 (ISBN)

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Content

Intro
Preface
Welcome to St. Petersburg
Organization
Contents - Part III
Computational and Applied Statistics (CAS 2019)
Application of DOE for the Study of a Multiple Jet Impingement System
Abstract
1 Introduction
2 Experimental Apparatus
2.1 Experimental Setup
2.2 Procedure
3 Design of Experiments
3.1 Quality Characteristic, Noise Factor and Test Conditions
3.2 Control Factors and Levels
3.3 Selection of the Orthogonal Array
4 Conclusions
Acknowledgments
References
Computing Topics on Multiple Imputation in Big Identifiable Data Using R: An Application to Educational Research
Abstract
1 Introduction
2 Concepts and Definitions on Missing Data
3 Statistical Packages and Procedures
4 Big Identifiable Data with Multiple Imputation
4.1 "Prova Brazil" 2017 Data
4.2 A Simulation Study
4.3 Execution Time and Performance
5 Conclusion
Acknowledgements
References
Comparing Empirical ROC Curves Using a Java Application: CERCUS
1 Introduction
2 Methodology
2.1 Programming in Java
2.2 Rserve Library
2.3 Requirements
2.4 Methodological Approach
3 CERCUS Application
3.1 Operating Systems
3.2 Running CERCUS
3.3 Data Entry
3.4 Analyze Menu
3.5 Graphs Menu
4 Final Remarks
References
A Nonlinear Dynamical System Perspective on Team Learning: The Role of Team Culture and Social Cohesion
1 Introduction
2 Materials and Methods
2.1 Procedure and Participants
2.2 Measures
2.3 Data Analysis Procedures
3 Results
4 Discussion and Conclusions
References
Demand Forecasting: A Case Study in the Food Industry
1 Introduction
1.1 The Company
1.2 The Importance of Demand Forecasting in the Food Industry
2 Demand Forecasting
2.1 Demand Forecasting Methods
2.2 Demand Forecasting Process at PR
3 Exponential Smoothing Models
4 ARIMA Models
5 Forecasting Methodology Proposed
5.1 Combining Forecasts
5.2 Combining Methods
5.3 Combining Results
6 Conclusions
References
Periodic INAR(1) Models with Skellam-Distributed Innovations
1 Introduction
1.1 Periodic Signed Thinning Operator
1.2 Periodic Skellam Distribution
2 The Univariate Periodic Model: S-PINAR(1)
3 Parameter Estimation
3.1 Conditional Least Squares Estimation
3.2 Conditional Maximum Likelihood Estimation
4 Simulation Study
5 Conclusions
References
Computational Mathematics, Statistics and Information Management (CMSIM 2019)
A Spatio-Temporal Auto-regressive Model for Generating Savings Calls to a Health Line
1 Introduction
2 Modelling Spatial and Temporal Variability on Count Data
2.1 General Log-Poisson Regression Model
2.2 Spatio-Temporal Bayesian Autoregressive Log-Poisson Models
3 Spatio-Temporal Modelling of S24 Data
3.1 Econometric Analysis of S24 Calls to Assess Hospital Savings
3.2 Preliminary S24 Data Analysis
3.3 Spatial and Temporal Correlation
3.4 Spatio-Temporal Bayesian Econometric Modelling of S24
3.5 The Savings Index
4 Discussion
References
Knowledge of the Boarded Population About Zika Virus
1 Introduction
2 Preliminaries
3 Methodology
3.1 Questionnaire
3.2 Factorial Analysis
4 Empirical Application
4.1 Data
5 Results and Conclusions
References
Study About Pediatric Hypertension in Lisboa and Vale do Tejo
1 Introduction
2 Data and Methodology
3 Empirical Application
4 Results and Final Remarks
References
Some Issues About Iberian Energy Prices
1 Introduction
2 ARIMA Approach
3 Empirical Application
3.1 Exploratory Analysis
3.2 The Model
4 Conclusions and Recommendations
References
A Nonlinear Subgrid Stabilization Parameter-Free Method to Solve Incompressible Navier-Stokes Equations at High Reynolds Numbers
1 Introduction
2 The Incompressible Navier Stokes Equations
2.1 The Variational Formulation
3 The Numerical Formulation
4 Numerical Experiments
4.1 Flow over Backward-Facing Step
4.2 The Lid-Driven Cavity Flow
5 Conclusions
References
Local Preconditioning Techniques Coupled with a Variational Multiscale Method to Solve Compressible Steady Flows at Low Mach Numbers
1 Introduction
2 Governing Equations
3 The Variational Multiscale Formulation
4 Local Preconditioner for the Euler Equations
5 Numerical Experiments
6 Conclusions
References
Computational Optimization and Applications (COA 2019)
Forecasting Wheat Prices Based on Past Behavior: Comparison of Different Modelling Approaches
Abstract
1 Introduction
2 Materials and Methods
2.1 Data
2.2 Forecasting Models
2.3 Methods
3 Computational Results
4 Conclusions
Acknowledgements
References
Dynamic Facility Location Problem with Stochastic Setup Times
1 Introduction
2 The Mathematical Model
3 Primal-Dual Heuristic
3.1 Dual Problem and Complementary Slackness Conditions
3.2 Algorithm
4 Computational Experiments
5 Conclusions
References
An Optimization Approach for Noncoplanar Intensity-Modulated Arc Therapy Trajectories
1 Introduction
2 Nasopharyngeal Tumor Case
3 Highly Noncoplanar Arc Trajectory Optimization
3.1 Fluence Map Optimization
3.2 Noncoplanar Beam Angle Optimization
3.3 Noncoplanar Arc Trajectory Optimization
4 Computational Results
5 Conclusions and Future Work
References
A Network Flow Based Construction for a GRASP+SA Algorithm to Solve the University Timetabling Problem
1 Introduction
2 Problem Description
3 A CB-CTT Network Flow Formulation
4 Algorithms
4.1 Maximum Flow
4.2 Initial Solution
4.3 Local Search
4.4 GMF Proposed Algorithm
5 Computational Experiments
5.1 Parameters
5.2 Discussion
6 Conclusions
References
Orthogonal Bandit Learning for Portfolio Selection Under Cardinality Constraint
1 Introduction
2 Preliminaries
2.1 Bandits
2.2 Portfolio Selection
3 Bandit Learning with Orthogonal Portfolio
4 Extended Bandit Learning for Cardinality Constraint
4.1 Asset Limitation with Kernel Search
4.2 Optional Time Restriction
5 Computational Experiments and Numerical Results
5.1 Data and Test Settings
5.2 Numerical Results
6 Conclusion
References
On Trajectory Optimization of an Electric Vehicle
1 Introduction
2 Model
3 Nonlinear Optimization on Continuous Control
4 Optimizing the Reference Current as State Variable
5 A DP Procedure to Derive an Optimal Control Rule
6 Conclusions
References
A Multi-objective Approach to Solve the Build Orientation Problem in Additive Manufacturing
1 Introduction
2 Optimization Problem
2.1 Part Orientation
2.2 Objective Functions
2.3 Multi-objective Approach
3 Numerical Experiments
3.1 Models Description
3.2 Results
4 Conclusions and Future Work
References
Optimizing the Kidney Exchange Problem with a Budget for Simultaneous Crossmatch Tests
1 Introduction
2 Problem Description and Model
3 Dealing with Recourse
4 Computational Tests
5 Conclusions/Discussion
Appendix A Enumerating Configurations and Calculating Their Expected Values
References
Computational Astrochemistry (CompAstro 2019)
Analytical Potential Energy Formulation for a New Theoretical Approach in Penning Ionization
Abstract
1 Introduction
2 The Optical Potential Model
3 The Potential Energy Formulation
4 The Ne*-Kr and Ne*-Xe PIES Spectra
5 Conclusions
Acknowledgments
References
Electronic Structure and Kinetics Calculations for the Si+SH Reaction, a Possible Route of SiS Formation in Star-Forming Regions
Abstract
1 Introduction
2 Computational Details
3 Results
4 Implications for the Chemistry of Interstellar Silicon
Acknowledgments
References
A Computational Study of the Reaction N(2D) + C6H6 Leading to Pyridine and Phenylnitrene
Abstract
1 Introduction
2 Computational Details
3 Results and Discussion
4 Conclusions
Acknowledgments
References
Cities, Technologies and Planning (CTP 2019)
A Simulation Model Perspective on Social Capital
Abstract
1 Introduction
2 Social Capital as a Source and Resource of/in Social Networks
3 The Empirical Case Studies to Investigate Social Capital
4 The Agent-Based Model Design
5 Some Selected Model Results
6 Conclusion
References
Informal Settlements Spatial Analysis Using Space Syntax and Geographic Information Systems
1 Introduction
2 Backgrounds
2.1 Informal Settlements
2.2 Configurational Analysis of Urban Environment
2.3 Space Syntax and Informality
3 Methodology
4 Case Study and Evaluation
4.1 Bataan Shipyard and Engineering Corporation. BaSECo
4.2 Structure and Form in BaSECo
5 Conclusions and Future Works
References
The Electronic Government of St.-Petersburg as Relevant Experience of Construction of Digital Economy
Abstract
1 Introduction
2 The Main Problems of Construction of the Electronic Government and Digital Economy as a Whole
3 The Purposes of Construction of the Electronic Government
4 Overcoming Departmental (Branch) Isolation of Informational Resources at Construction of the Electronic Government in St.-Petersburg
5 Authentification of the Applicant
6 The Common Software and Development Tools
7 Means
8 The Reached Practical Results
9 Prospects for the Development of E-Government
References
CO-TAMP: Transnational Platform for Territorial Attractiveness Monitoring in the Danube Region
Abstract
1 Introduction
2 Geovisualization and Territorial Monitoring Systems
2.1 Monitoring Territorial Dynamics and Policy Implementation in Europe
3 Attractive Danube Project
3.1 Project Aim and Objectives
3.2 Territorial Attractiveness: Concept and Indicators
3.3 Common Territorial Monitoring Framework
4 Methodology
4.1 Data Sources Identification, Their Analysis and Data Collection
4.2 Indicators Definition, Values Storage and Quality Assessment
4.3 Geovisualization Tool for Territorial Monitoring
5 CO-Tamp
5.1 Architecture Framework
5.2 Documentation
5.3 Geovisualization Features
6 Discussion
7 Conclusions
References
An Agent-Based Model (ABM) for the Evaluation of Energy Redevelopment Interventions at District Scale: An Application for the San Salvario Neighborhood in Turin (Italy)
Abstract
1 Introduction
2 Dynamic Models: A Brief Overview
2.1 Agent-Based Models (ABM)
3 Materials and Method
3.1 Study Area Presentation and Objective
3.2 Stakeholders Analysis and Agents
3.3 Simulation Experiments
4 Results and Discussion
4.1 Application 1: Temporal Diffusion of PV Systems
4.2 Application 2: Temporal Diffusion of Retrofit Technologies
5 Conclusion and Future Insights
Acknowledgment
References
Future Computing System Technologies and Applications (FISTA 2019)
Hardware Acceleration of Language Processing in Scripting Programming Languages
1 Introduction
2 Scripting Programming Languages
2.1 Scripting Programming Languages for Web Application Developments
2.2 Scripting Programming Languages for Embedded Software Developments
3 Hardware Acceleration
4 Hardware Acceleration Implementation
4.1 Custom Component Circuit of Instruction Decoder
4.2 Custom Component Circuits for Dynamic Memory Allocation
5 Evaluation
6 Conclusion
References
A Machine Learning Framework for Edge Computing to Improve Prediction Accuracy in Mobile Health Monitoring
Abstract
1 Introduction
2 Research Objective
3 Related Research
4 Experiment Environment and Dataset
4.1 Dataset
5 System Architecture
6 Experiment Methods
6.1 Data Pre-processing
6.2 Training and Testing
6.3 Data Analysis
7 Experiments and Observations
7.1 Data Classification Accuracy
7.2 Confusion Matrix
7.3 Visual Analysis
7.4 ECG Values Analysis with Respect to Different Activity Sets
8 ECG Classification Prediction with Random Forest
9 Activity Data Classification and ECG Data Categorization
9.1 Experiments with ECG Dataset
9.2 Experiment Results and Observations
10 Summary and Concluding Remarks
10.1 Future Work
References
Geographical Analysis, Urban Modeling, Spatial Statistics (GEO-AND-MOD 2019)
An Unsupervised Machine Learning Approach in Remote Sensing Data
Abstract
1 Introduction
1.1 Numerical Indices
1.2 Spatial Indices
1.3 Connectivity Indices
2 Data Organization
2.1 Data Analysis
2.2 Statistical Analysis
2.3 Spatial Statistical Models
3 Conclusions
References
Spatial Patterns of Development of Mobile Technologies for 5G Networks
Abstract
1 Introduction
2 Methodology
3 Development of Mobile Cellular Technologies
4 Modeling the Global Interactions
5 Discussion
6 Conclusions
References
Stochastic Blockmodeling for the Analysis of Big Data
Abstract
1 Introduction
2 The Methodology: Blockmodel and Stochastic Blockmodel
3 The Application
3.1 The Data and the Preliminary Phase
3.2 Stochastic Blockmodel Application
4 Conclusions
References
Workflow Discovery Through Semantic Constraints: A Geovisualization Case Study
1 Introduction
2 Use Case: Creation of a Topographic Map with Depiction of Animal Movement Patterns
3 Domain Modeling
4 Workflow Synthesis
4.1 Initial Workflow
4.2 Extension 1: Annotations
4.3 Extension 2: Providing the Elevation Dataset
4.4 Extension 3: Plotting the Elevation Dataset
4.5 Final Extension: Topographical and Bathymetrical Features
5 Discussion and Conclusions
References
A User-Centred Approach to Design Transport Interchange Hubs (TIH): A Discussion Illustrated by a Case Study in the Russian Arctic
Abstract
1 Introduction
2 Customers' Needs - The State of the Art
3 Methodology: Adopting a Product Design Approach
4 Design(ing) Specifications for TIH Buildings
5 Exploring the Use of Hybrid Origin Destination/Space Location Representations and Simulations to Meet the Second Axiom, a Discussion
6 Conclusions and Future Work
References
A Methodology for Defining Smart Camera Surveillance Locations in Urban Settings
1 Introduction
2 Background and Related Work
3 Proposed Approach
4 Case Study: The City of Aguascalientes, Mexico
5 Results and Discussion
6 Conclusions and Future Work
References
Exploring Specific Features of Transport Interchange Hubs (TIH) Design, Taking into Account the Climatic Conditions of the Russian Arctic
Abstract
1 Introduction
2 Methodology
3 Indoor Gardening: An Extra Attraction to Compensate for Waiting Time and Organize Human Flow
4 Pedestrian Flow in TIHs to Assess and Inform Design
5 The Impact of Compactness in Pedestrian Flow
6 Conclusions
References
Location Theory and Circular Economy. Demolition, Constructions and Spatial Organization of Firms - An Applied Model to Sardinia Region. The Case Study of the New Cagliari Stadium
Abstract
1 Introduction
2 Data Collection and Mapping
2.1 Data Collection
2.2 Mapping and Sharing Data: The MEISAR_Map
3 The Model - Circular Economy and Industrial Location à la Weber Revised
3.1 Circular Economy and Industrial Symbiosis
3.2 Weber Revised
4 The Case Study
4.1 Recycled Aggregates (RA) from Sant'Elia Stadium
4.2 Policy Considerations
4.3 Contextualization of Weber Model
4.4 Some Empirical Observations
5 Conclusions
References
Modeling the Epidemiological Processes of Economically Significant Infections of Animals
Abstract
1 Introduction
2 Materials and Methods
2.1 Studies Area
2.2 Data
2.3 Methods
2.4 Software
3 Results
3.1 Rabies
3.2 Anthrax
3.3 Foot and Mouth Disease
4 Discussion
5 Conclusion
Acknowledgements
References
Ecosystem Indicators and Landscape Ecology Metrics as a Tool to Evaluate Sustainable Land Planning in ICZM
Abstract
1 Landscape Ecology: A Paradigm for ICZM
2 Steps Towards a "Lean" Methodology for ICZM
2.1 Soil Consumption
2.2 Land System
2.3 The Land System Assessment
3 The Land Eco-Biodiversity Index
3.1 Vegetation Series Map
3.2 The Land Eco-Biodiversity Index
4 Discussion
4.1 Issues Regarding Data About Indicator Species
4.2 Landscape Value
4.3 Indicators of Landscape Ecology: Composition and Configuration
4.4 Indicators of Landscape Ecology: Fragmentation and Connectivity
5 Conclusions
References
Cumulative Impact of Societal Activities on Marine Ecosystems and Their Services
Abstract
1 Introduction
2 Theory
2.1 Protecting the Marine Environment
2.2 Cumulative Impact Assessment
2.3 Tools for Cumulative Impact Assessment
2.4 Marine Spatial Data Infrastructure
3 Implementation
3.1 Systems Design
4 Examples
5 Discussion
6 Conclusion
Acknowledgement
References
Predicting Sediment Concentrations Using a Nonlinear Autoregressive Exogenous Neural Network
Abstract
1 Introduction
2 Methods
2.1 Data Used for the Development of the Neural Network
2.2 NARX Neural Network
2.3 Sensitivity Analysis
3 Results
3.1 Effects of Number of Iterations
3.2 Input Data-Size Effects
3.3 Effects of Number of Hidden Layer Nodes
3.4 Fine-Tuning the NARX Net
3.5 Goodness of Fit
4 Conclusions
References
Using Gridded Multi-mission Sea Surface Height Data to Estimate Tidal Heights at Columbia River Estuary
Abstract
1 Introduction
2 Methods
2.1 Review on the Application of Artificial Neural Networks for Estimating Tidal Heights
2.2 Study Area
2.3 Gridded Multi-mission Ocean Surface Topography Data
2.4 Artificial Neural Network
3 Results
3.1 Assessment of NOAA-Predicted Tidal Height Data at Astoria Station
3.2 Tidal Heights Predicted Using the Neural Network
4 Conclusions
References
Multi-criteria Evaluation vs Perceived Urban Quality: An Exploratory Comparison
Abstract
1 Introduction
2 Case-Study Area
3 Features of Urban Quality: A Multi-criteria Analysis
4 Perceived Urban Quality: Walkability Evaluation Based on Deep Learning
4.1 Adopted CNN Architecture and Implementation
4.2 CNN Training and Application
5 Comparison and Discussion of Results
Acknowledgments
References
Situation Analysis of Cities in Ardabil Province in Terms of Health Indicators
Abstract
1 Introduction
1.1 Research Questions
2 Literature Review
3 Research Method
3.1 Introduction of the Study Area
3.2 Introducing Variables and Indicators
4 Findings
5 Conclusion
References
Spatial Analysis of the Proximity Effects of Land Use Planning on Housing Prices (Case Study: Tehran, Iran)
Abstract
1 Introduction
2 Theoretical Foundations
2.1 Background of the Research
2.2 Satisfaction of Citizens from the Residential Environment
2.3 Housing Economy
2.4 The Structural Characteristics of the Housing Market
2.5 The Most Important Factors Affecting Housing Prices
3 Study Area
4 Methodology of Research
4.1 Geographic Weights Regression
5 Findings of the Research
5.1 The Impact Each of Land-Use on Housing Prices
6 Conclusion
Acknowledgments
References
Providing a Livable Housing Development Model for Increasing Urban Livability (Case Study of Tehran)
Abstract
1 Introduction
2 Literature Reviews
2.1 Urban Livability Aspect
3 Methodology Research
3.1 Study Area
3.2 Fuzzy Logic
3.3 Method Fuzzy Topsis
4 Discussions and Findings
5 Conclusions
Acknowledgments
References
Evolution of Soil Consumption in the Municipality of Melfi (Southern Italy) in Relation to Renewable Energy
Abstract
1 Introduction
2 Material and Methods
2.1 Data
2.2 Study Area
2.3 Methodologies
2.4 Results
3 Conclusion
References
Trend Definition of Soil Consumption in the Period 1994-2014 - Municipalities of Potenza, Matera and Melfi
Abstract
1 Introduzione
2 Area Di Studio
3 Analisi Dell'andamento Demografico
3.1 Potenza
3.2 Matera
3.3 Melfi
4 Dati e Metodologia
5 Risultati
6 Conclusioni
References
Energy Landscape Fragmentation: Basilicata Region (Italy) Study Case
Abstract
1 Introduction
2 Material and Methods
2.1 Study Area
2.2 Data Source and Processing
2.3 Methodology
3 Results and Discussions
4 Conclusions
Acknowledgements
References
Investigating Urban Growth Dynamic - Land Surface Temperature Relationship
Abstract
1 Introduction
2 Materials and Methods
2.1 The Basilicata Case Study
2.2 Dataset
2.3 Methods
3 Results
4 Conclusions
Acknowledgements
References
Geospatial Database for the Generation of Multidimensional Virtual City Models Dedicated to Urban Analysis and Decision-Making
Abstract
1 Introduction
2 Study Area
3 Data Modelling, Acquisition, and Management
3.1 Data Model, Objects, and Schemes
3.2 Multi-dimensional Geodata
3.3 Generalisation of Multi-dimensional Geodata as Data Integration
3.4 Data Acquisition
3.5 Data Management
4 Digital Twin vs Model
5 Technical Objectives of a Geospatial Database
5.1 Geospatial Databases in Times of Big Data
5.2 Database Engineering Missed Geospatial Requirements
6 A Multi-usable Database for Virtual City Models
6.1 The Conceptualised Digital Twin of an Urban Environment
6.2 Service-Based Process Chain with Encapsulated Modules
7 Conclusion
Acknowledgements
References
Correction to: Workflow Discovery Through Semantic Constraints: A Geovisualization Case Study
Correction to: Chapter "Workflow Discovery Through Semantic Constraints: A Geovisualization Case Study" in: S. Misra et al. (Eds.): Computational Science and Its Applications - ICCSA 2019, LNCS 11621, https://doi.org/10.1007/978-3-030-24302-9_34
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Computational Science and Its Applications - ICCSA 2019

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