
Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology - ISAT 2018
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This three-volume set of books highlights major advances in the development of concepts and techniques in the area of new technologies and architectures of contemporary information systems. Further, it helps readers solve specific research and analytical problems and glean useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by a numerical analysis, simulation and implementation of the solution to the real-life problem.
Managing an organisation, especially in today's rapidly changing circumstances, is a very complex process. Increased competition in the marketplace, especially as a result of the massive and successful entry of foreign businesses into domestic markets, changes in consumer behaviour, and broader access to new technologies and information, calls for organisational restructuring and the introduction and modification of management methods using the latest advances in science. This situation has prompted many decision-making bodies to introduce computer modelling of organisation management systems.
The three books present the peer-reviewed proceedings of the 39th International Conference "Information Systems Architecture and Technology" (ISAT), held on September 16-18, 2018 in Nysa, Poland. The conference was organised by the Computer Science and Management Systems Departments, Faculty of Computer Science and Management, Wroclaw University of Technology and Sciences and University of Applied Sciences in Nysa, Poland. The papers have been grouped into three major parts:
Part I -discusses topics including but not limited to Artificial Intelligence Methods, Knowledge Discovery and Data Mining, Big Data, Knowledge Based Management, Internet of Things, Cloud Computing and High Performance Computing, Distributed Computer Systems, Content Delivery Networks, and Service Oriented Computing.
Part II -addresses topics including but not limited to System Modelling for Control, Recognition and Decision Support, Mathematical Modelling in Computer System Design, Service Oriented Systems and Cloud Computing, and Complex Process Modelling.
Part III -focuses on topics including but not limited to Knowledge Based Management, Modelling of Financial and Investment Decisions, Modelling of Managerial Decisions, Production Systems Management and Maintenance, Risk Management, Small Business Management, and Theories and Models of Innovation.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- ISAT 2018 Conference Organization
- General Chair
- Program Co-chairs
- Local Organizing Committee
- International Program Committee
- ISAT 2018 Reviewers
- ISAT 2018 Keynote Speaker
- Contents
- Model Based Project and Decision Support
- Model Order Reduction Adapted to Steel Beams Filled with a Composite Material
- Abstract
- 1 Introduction
- 2 Research Object
- 3 Model Order Reduction Techniques
- 4 Results
- 5 Findings
- Acknowledgements
- References
- Case-Based Parametric Analysis: A Method for Design of Tailored Forming Hybrid Material Component
- Abstract
- 1 Introduction
- 2 Background Research
- 2.1 Tailored Forming
- 2.2 Case-Based Reasoning
- 3 CBR Implementation for a Hybrid Shaft
- 3.1 System Architecture
- 3.2 Parametric CAD Model
- 3.3 Finite Element Model and Load Cases
- 3.4 Case-Base Generation and Results Analysis
- 3.5 Retrieve Step
- 4 Conclusions
- Acknowledgment
- References
- Optimal Design of Colpitts Oscillator Using Bat Algorithm and Artificial Neural Network (BA-ANN)
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Oscillation Design Methodology
- 4 Resistor Selection Using AI Techniques
- 4.1 The Bat Algorithm
- 4.2 Artificial Neural Network for Oscillator Transient Time Predicting
- 4.3 The Proposed BA-ANN Model
- 5 Results and Discussion
- 6 Conclusion
- Acknowledgements
- References
- An Adaptive Observer State-of-Charge Estimator of Hybrid Electric Vehicle Li-Ion Battery - A Case Study
- Abstract
- 1 Introduction
- 1.1 Brief Presentation of Lithium-Ion Batteries
- 1.2 The Li-Ion Battery Model Selection Criterion
- 1.3 EMC Li-Ion Battery in NREL ADVISOR MATLAB Platform - Case Study
- 2 The Li-Ion Battery Continuous Time State Space Representation
- 2.1 ECM Li-Ion Battery Validation
- 3 The Adaptive Observer State Estimator Design and Real Time Implementation
- 4 The MATLAB SIMULINK Simulation Results and Performance Analysis
- 5 Conclusions
- References
- Properties of One Method for the Spline Approximation
- Abstract
- 1 Introduction
- 2 Main Results of the Study
- 2.1 Construction of a Semi-local Spline of the Third Degree of Second Order of Smoothness
- 2.2 Construction of a Semi-local Spline of the Fifth Degree with Second Order of Smoothness
- 2.3 Application of Investigated Splines at Numerical Solution of Boundary Value Problem
- 2.4 Conclusions
- References
- An Effective Algorithm for Testing of O-Codes
- Abstract
- 1 Introduction
- 2 O-Codes
- 3 The Algorithm for Testing of O-Codes
- 4 Conclusion
- References
- On Transforming Unit Cube into Tree by One-Point Mutation
- 1 Introduction
- 2 Basic Notions and Definitions
- 3 Algorithm of Transforming Unit Cube into a Mutation Tree
- 4 Basic Properties of a Mutation Tree
- 5 Conclusion
- References
- Pattern Recognition and Image Processing Algorithms
- CNN Based Traffic Sign Recognition for Mini Autonomous Vehicles
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Features of Used Mini Autonomous Car
- 4 Traffic Sign Recognition with CNNs
- 4.1 Image Augmentation
- 4.2 Convolutional Neural Networks
- 5 Experimental Analysis
- 5.1 Experimental Setup
- 5.2 Building Dataset
- 5.3 Performance Metrics
- 6 Conclusion
- Acknowledgement
- References
- Parallel Processing of Computed Tomography Images
- Abstract
- 1 Introduction
- 2 Proposed Technique for CT Images Processing
- 2.1 Image Processing
- 2.2 Key-Point Search Using SURF Algorithm
- 2.3 Convolutional Neural Network
- 2.4 Proposed Technique
- 3 Experiments
- 4 Conclusions
- Acknowledgments
- References
- Singular Value Decomposition and Principal Component Analysis in Face Images Recognition and FSVDR of Faces
- 1 Introduction
- 2 Basic Theoretical Facts About SVD
- 3 PCA and SVD in Face Recognition (Eigenfaces)
- 4 FSVDR of Faces
- 5 Conclusion
- References
- Model and Software Tool for Estimation of School Children Psychophysical Condition Using Fuzzy Logic Methods
- Abstract
- 1 Introduction
- 2 Main Part
- 3 Conclusions
- References
- The Artifact Subspace Reconstruction (ASR) for EEG Signal Correction. A Comparative Study
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Applied Methods
- 3.1 Artifact Subspace Reconstruction
- 3.2 Independent Component Analysis
- 3.3 Principal Component Analysis
- 4 The Case Study
- 4.1 The Data Set
- 4.2 Research Procedure
- 5 Results
- 6 Summary
- Acknowledgement
- References
- The Study of Dynamic Objects Identification Algorithms Based on Anisotropic Properties of Generalized Amplitude-Phase Images
- Abstract
- 1 Introduction
- 2 Conceptual Consideration of CSO Identification System Based on DHO-APA Methods: Structures, Functions and Methods
- 3 Examples of Models of Dynamical Objects AP-Images
- 4 Summary
- References
- Modeling of Scientific Publications Disciplinary Collocation Based on Optimistic Fuzzy Aggregation Norms
- 1 Disciplinarity in Science
- 2 The Idea of Science Contribution
- 3 Fuzzy Logic
- 4 Optimistic Fuzzy Aggregation Norms
- 5 Model of Publications Collocations
- 6 The Application of the Method
- References
- Production Planning and Management System
- Declarative Modeling of a Milk-Run Vehicle Routing Problem for Split and Merge Supply Streams Scheduling
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Modelling
- 3.1 Motivating Example
- 3.2 Problem Formulation (the Model and the Milk-Run Routing Problem)
- 3.3 Method
- 3.4 Milk-Run Routing and Scheduling Subject to Supply Chain Constraints
- 4 Computational Experiments
- 5 Conclusions
- Acknowledgements
- References
- Energy Consumption in Unmanned Aerial Vehicles: A Review of Energy Consumption Models and Their Relation to the UAV Routing
- Abstract
- 1 Introduction
- 1.1 Important Factors to Consider in Deriving Energy Consumption of UAVs
- 1.2 Impact of Weather
- 1.3 UAV Flying Speed and Payload
- 2 Energy Consumption Models for UAVs
- 2.1 Power Consumption in Horizontal Moving
- 2.2 Optimum Flying Speed
- 2.3 UAV Energy Consumption in High Speeds
- 2.4 Energy Consumption in Hovering, Vertical Takeoff and Landing
- 3 Relationship of Factors Affecting UAV Energy Consumption
- 4 Conclusion
- References
- Agile Approach in Crisis Management - A Case Study of the Anti-outbreak Activities Preventing an Epidemic Crisis
- Abstract
- 1 Introduction
- 2 Crisis and Crisis Management
- 3 Agile Approach
- 4 Agile Approach Applied to Crisis Management
- 5 Case Study: Agile Approach in the Anti-outbreak Activities Stage of the Epidemic Crisis
- 6 Conclusions
- References
- Multiple Criteria Optimization for Emergency Power Supply System Management Under Uncertainty
- Abstract
- 1 Introduction
- 1.1 Emergency Power Supply System Outline
- 1.2 Uncertain Variables
- 1.3 Management of Emergency Power Supply System Under Uncertainty
- 2 Problem Statement
- 2.1 Notation
- 2.2 Problem Formulation
- 2.3 Solution Procedure
- 3 Numerical Example
- 4 Conclusions
- References
- Overcoming Challenges in Hybrid Simulation Design and Experiment
- Abstract
- 1 Introduction
- 2 Theoretical Background - Premises for Hybrid Solution
- 3 Description of the Hybrid Model
- 3.1 Basic Assumptions
- 3.2 Population Model
- 3.3 Arrival Model
- 3.4 Integration of the Models
- 3.5 Spreadsheet Interface
- 4 Simulation Experiment
- 4.1 Basic Assumptions
- 4.2 Results and Discussion
- 5 Summary
- Acknowledgements
- References
- Medium-Term Electric Energy Demand Forecasting Using Generalized Regression Neural Network
- Abstract
- 1 Introduction
- 2 Forecasting Model Based on GRNN
- 2.1 GRNN
- 2.2 Time Series Preprocessing
- 3 Application Examples
- 4 Conclusion
- References
- Factors Affecting Energy Consumption of Unmanned Aerial Vehicles: An Analysis of How Energy Consumption Changes in Relation to UAV Routing
- Abstract
- 1 Introduction
- 2 Analysis of the Factors Affect UAV Energy Consumption
- 2.1 UAV Power Consumption and UAV Flying Speed, UAV Power Consumption and Payload
- 2.2 UAV Power Consumption and Air Density
- 2.3 UAV Power Consumption Against Two Changing Parameters
- 3 Scenario Analysis
- 3.1 Weather Data
- 3.2 Assumptions
- 4 Results of the Analysis
- 5 Conclusion
- References
- Big Data Analysis, Knowledge Discovery and Knowledge Based Decision Support
- Computer Based Methods and Tools for Armed Forces Structure Optimization
- Abstract
- 1 Introduction
- 2 Idea of the Methods of Armed Forces Structure Optimization
- 3 Mathematical Model of the Conflict
- 3.1 Reference Modules and Their Combat Potential and Cost
- 3.2 Combat Assessment
- 3.3 Mathematical Formulation of Optimization Problem of Armed Forces Structure for Defined Threat Scenario
- 3.3.1 Optimization of the Forces Needed for Defined Threat Scenario
- 3.3.2 Optimization of the Forces for Fixed Threat Scenario Under Financial Constraints
- 4 Methods of Problem Resolution
- 5 Computational Experiments
- 5.1 Allocation Problem Without Cost Constraints
- 5.2 Allocation Problem Under Cost Constraints
- 6 Conclusions
- References
- An Application for Supporting the Externalisation of Expert Knowledge
- Abstract
- 1 Introduction
- 2 An Approach to Supporting the Externalisation of Expert Knowledge
- 3 An Application for Supporting the Externalisation of Expert Knowledge
- 4 Concluding Remarks
- References
- Cognition and Decisional Experience to Support Safety Management in Workplaces
- Abstract
- 1 Introduction
- 2 Managing Safety in Workplaces
- 2.1 Behavior-Based and Automatic Detection of Hazards
- 2.2 Culture Change and Administration of Knowledge
- 2.3 Integrative Approach to Managing Safety
- 3 Cognition
- 4 Decisional Experience
- 4.1 Set of Experience Knowledge Structure (SOEKS) and Decisional DNA
- 5 Cognitive Vision Platform for Hazard Control (CVP-HC)
- 5.1 Data Fusion
- 5.2 Knowledge Formalization
- 6 Conclusions
- References
- Big Data Approach to Analyzing Job Portals for the ICT Market
- Abstract
- 1 Introduction
- 2 Big Data Concept
- 3 Approach to Big Data Management
- 4 Context of ICT Job Market and Job Portals
- 5 Research Method
- 6 Results and Discussion
- 7 Conclusions
- References
- A Parallel Algorithm for Mining High Utility Itemsets
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Problem Definition
- 4 Proposed Algorithm
- 5 Experimental Studies
- 5.1 Runtime
- 5.2 Memory Usage
- 6 Conclusions and Future Work
- References
- Use of the EPSILON Decomposition and the SVD Based LSI Techniques for Reduction of the Large Indexing Structures
- Abstract
- 1 Introduction
- 2 Epsilon Decomposition
- 3 One Level Reduction
- 4 Two Level Reduction
- 5 Time Analysis
- 6 Conclusion
- References
- Minimax Decision Rules for Identifying an Unknown Distribution of a Random Variable
- 1 Introduction
- 2 One-Dimensional Case
- 2.1 Piecewise Linear Density Functions
- 2.2 Densities with Piecewise MLR Property
- 2.3 Example 1
- 3 Two-Dimensional Case
- 3.1 Example 2
- References
- Artificial Intelligence Methods and Algorithms
- Decision Making Model Based on Neural Network with Diagonalized Synaptic Connections
- Abstract
- 1 Introduction
- 2 Diagonazation Matrix of Synaptic Connections
- 3 Model of Decision Support System on the Basis of Neural Network with Diagonalized Synaptic Connections
- 4 Learning Fuzzy Neural Network with Diagonal Synaptic Connections
- 5 The Algorithm of Teaching a Three-Layer Neural Network with Diagonal Synaptic Connections
- 6 The Architecture of the Diagonal Neural Network to Choose the Optimal Operating System that Is Used for the Local Computer Network
- 7 Conclusions
- References
- Computational Investigation of Probabilistic Learning Task with Use of Machine Learning
- 1 Introduction
- 2 Probabilistic Learning Task
- 3 Mathematical Models
- 3.1 Q-learning Model
- 3.2 Rescorla-Wagner Model
- 3.3 Parameter Estimation and Model Selection
- 4 The ``Virtual Twin'' Trick
- 5 Simulation Study and Discussion
- 6 Final Remarks
- References
- Evaluation of the Prediction-Based Approach to Cost Reduction in Mutation Testing
- 1 Introduction
- 2 Related Work
- 3 Classification-Based Reduction of Mutants Execution
- 3.1 Mutant Representation
- 3.2 Classification of Mutants
- 3.3 Classification Results
- 4 Experimental Evaluation
- 4.1 Experimental Procedures
- 5 Conclusions
- References
- Optimization of Decision Rules Relative to Length - Comparative Study
- 1 Introduction
- 2 Main Notions
- 3 Modified Algorithm for Directed Acyclic Graph Construction (T)
- 4 Procedure of Optimization Relative to Length
- 5 Experimental Results
- 6 Conclusions
- References
- Comparison of Fuzzy Multi Criteria Decision Making Approaches in an Intelligent Multi-agent System for Refugee Siting
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Methodology
- 3.1 Comparison
- 4 Conclusions
- References
- Selected Aspects of Crossover and Mutation of Binary Rules in the Context of Machine Learning
- Abstract
- 1 Introduction
- 1.1 Complex Adaptive System (CAS)
- 1.2 Learning Classifier System (LCS) Paradigm
- 2 Fuzzy Logic Decision Support System
- 3 Discovery Component - GA
- 3.1 Crossover
- 3.2 Mutation
- 4 Conclusion
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.