
Advances in Systems Engineering
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This book features high-quality, peer-reviewed papers from the 28th International Conference Systems Engineering (ICSEng 2021), held at Wrclaw University of Science and Technology, Wroclaw, Poland, on December 14-16, 2021. Presenting the latest developments and technical solutions in systems engineering, it covers a variety of topics, such as analog and digital hardware systems, artificial intelligence and machine learning, distance learning & games, E-business systems, financial technology, general control systems, hyper-automation and Industry 4.0, Internet of things, sensor and biometric systems, medical systems and applications, robotics, computer vision, HCI, and parallel and distributed systems. As such, it helps those in the computer industry and academia to use the advances in next-generation systems engineering technology to shape real-world applications.
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Content
- Intro
- Preface
- ICSEng 2021 Conference Organization
- Steering Committee
- General Chair
- Program Chairs and Editors
- Organizing Committee
- Program Committee
- ICSEng 2021 Reviewers
- ICSEng 2021 Keynote Speakers
- Verbalization of Data and Results via Linguistic Summaries: Towards A Human Centric IT
- The Challenges of using AI in Defence/Aerospace
- Contents
- Editors and Contributors
- Analog and Digital Hardware Systems
- Reducing Compound Degree for Optimum Linear Decomposition of Symmetric Index Generation Function
- 1 Introduction
- 2 Preliminaries
- 3 Related Works
- 4 Proposed Approach
- 4.1 Formulation of a Problem
- 4.2 Model of a Problem
- 5 Experimental Results
- 6 Conclusion
- References
- LED Grow Light for Optimization of Chlorophyll Excitation Ratio
- 1 Introduction
- 2 Photosynthesis
- 3 Light-Emitting Diodes
- 4 Design
- 5 Results
- 6 Summary
- References
- A Novel Hybrid Genetic-Simulated Annealing Algorithm to Multi-band Filter Design Problem
- 1 Introduction
- 2 Problem Formulation
- 3 Algorithms
- 4 Numerical Experiment
- 5 Conclusions
- References
- Artificial Intelligence and Machine Learning
- Reconstruction of Airports Coordinates Based on Flight Times Data
- 1 Introduction
- 2 Problem Statement
- 2.1 Optimization Task
- 2.2 State-of-the-Art Approaches
- 3 Materials and Methods
- 4 Simulation Study
- 5 Conclusions
- References
- Knowledge-Based Design Evaluation of Rotational CAD-Models with a Multi-Agent System
- 1 Introduction
- 2 Theoretical Background and Related Work
- 3 Multi-Agent System for Design Evaluation of Rotational Parts
- 3.1 Specification of the Multi-Agent System
- 3.2 Architecture of the Multi-Agent System
- 4 Application of the Multi-Agent System for a Gear Shaft
- 5 Discussion
- 6 Conclusion and Further Research
- References
- Platoons Formation Management Strategies Based on Reinforcement Learning
- 1 Introduction
- 2 System Model
- 2.1 Formulation of a Problem
- 2.2 Formation Strategy
- 3 Simulation
- 4 Conclusion
- References
- Distance Learning and Games
- Mobile Game Development with Spatially Generated Reverberation Sound
- 1 Introduction
- 2 Binaural Recordings of the Environments
- 3 Spatial Reverberation Rendering Method
- 3.1 Waypoint Acoustic Simulation (WAS)
- 3.2 Room Acoustic Simulation (RAS)
- 3.3 CleanReverb Filter
- 3.4 HRRTF Method
- 4 Tests and Results
- 5 Discussion
- References
- Use of Project-Based Learning and Living Personas to Train Future Designers of Interactive Applications
- 1 Introduction
- 2 Pedagogical and Methodological Bases of the Approach Followed in the Practical Work
- 2.1 Project-Based Learning
- 2.2 From Persona to Living Persona
- 2.3 SCRUM
- 3 Context and Description of the Subject Provided to Students
- 3.1 Software Engineering and Human-Computer Interaction Course
- 3.2 Information Concerning the Organization of the Practical Work
- 3.3 Information Concerning the Context and the Theme to Be Addressed by the Students
- 3.4 Deliverables to Be Provided by Each Company Responding to the Simulated Call for Tender
- 4 Evaluation of the Students
- 5 Experience Feedback
- 6 Conclusion
- References
- Emerging Technologies in Smart Classroom Education
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 4 Results
- 5 Discussion and Conclusion
- References
- E-Business Systems
- Retail Sales Forecasting in the Presence of Promotional Periods
- 1 Introduction
- 2 Methodology
- 2.1 Data Preprocessing
- 2.2 Baseline Demand Estimation
- 2.3 Candidate Models
- 2.4 Hypothesis Development
- 2.5 Evaluation of the Candidate Models
- 3 Analysis and Results
- 3.1 Comparison of Sign and Magnitude of Promotional and Post-promotional Effects
- 3.2 Comparison of Forecast Performance (sMAPE)
- 4 Discussion
- 5 Conclusion
- References
- Evaluation of Selected Artificial Intelligence Technologies for Innovative Business Intelligence Applications
- 1 Introduction
- 2 A Taxonomy of AI-Related Technology Characteristics in the Context of Business Intelligence Applications
- 3 Rule-Based Systems, Logic Programming, and Decision Support Tools
- 4 Constraint Programming and Optimization: New Tools
- 5 Supervised Machine Learning for Business Intelligence
- 6 Affective Computing for Business Intelligence
- 7 Process Modeling and Decision Making
- 8 Conclusions and Future Works
- References
- Towards Business Cost Mining
- 1 Introduction and Research Questions
- 2 Related Work
- 3 Cost, Reliability and Business Cost
- 3.1 Cost
- 3.2 Reliability
- 3.3 Business Cost
- 4 Proposed Approach
- 4.1 Overview of the Proposed Approach
- 4.2 Business Cost Mining at the Activity Level
- 5 Illustration of the Proposed Approach
- 5.1 Business Process Model Example
- 5.2 Cost-Annotated Event Log
- 5.3 Application of the Proposed Approach
- 6 Conclusion and Future Work
- References
- Financial Technology
- GMDH-Type Neural Networks for Predicting Financial Time Series: A Study of Informational Efficiency of Stock Markets
- 1 Introduction
- 2 Methods and Data
- 2.1 Autoregressive Models
- 2.2 Feed-Forward Neural Networks
- 2.3 Group Method of Data Handling
- 2.4 Data
- 3 Results
- 4 Discussion
- 5 Conclusion
- References
- Mean-Reverting Portfolio Optimization via a Surrogate Risk Measure - Conditional Desirability Value at Risk
- 1 Introduction
- 2 Machine Learning Model
- 2.1 How to Compute Desirability Values Using the Separating Hyperplane
- 3 CVaR and CDVaR Portfolio Optimization Models Based on LP
- 3.1 Definitions of VaR and CVaR
- 3.2 How to Compute VaR and CVaR of Any Portfolio
- 3.3 The LP Model for CVaR and How to Tweak It into CDVaR
- 3.4 How to Define and Compute DVaR and CDVaR of Any Portfolio?
- 4 Numerical Results Before Cointegration Is Introduced
- 5 The Concepts of Stationarity and Cointegration
- 5.1 Stationarity
- 5.2 Cointegration
- 5.3 Description of the Statistical Tests Used
- 5.4 Numerical Results
- 5.5 How to Exploit the Cointegration Property
- 6 Conclusions
- References
- Blockchain-Based Smart Contracts Use for Photovoltaic Energy Trade Transactions
- 1 Introduction
- 2 Related Works
- 2.1 Blockchain Based Energy Trading Solutions
- 2.2 Energy Web Chain
- 2.3 Power Ledger
- 3 System Architecture
- 3.1 Architecture
- 3.2 Blockchain
- 3.3 User ID Management
- 4 Simulation Testbed
- 4.1 Simulation Architecture
- 4.2 Messaging Protocol
- 4.3 Simulation Hardware/Software Requirements
- 4.4 Use Case Scenarios
- 4.5 Simulation Results
- 5 Future Work
- 6 Conclusion
- References
- General Control Systems
- Chaotic Chua's Circuit's Parameter Estimation Using Composite Identifier and Indirect Adaptive Output Regulation
- 1 Introduction
- 2 Chua's Circuit and Robust Output Regulation Problem
- 3 Design of a Composite Parameter Identifier
- 3.1 Gradient-Based Adaptation Law
- 3.2 Adaptation Law Using Modified Regressor Integral
- 3.3 Composite Identifier and Stability
- 4 Indirect Adaptive Output Tracking Control Law
- 5 Simulation Results
- 6 Conclusion
- References
- Combined State Merging and Splitting Procedure for Low Power Implementations of Finite State Machines
- 1 Introduction
- 2 Idea of the Proposed Approach
- 3 State Merging Procedure
- 4 Estimation of Power Consumption
- 5 State Splitting Procedure
- 6 Experimental Results
- 7 Conclusion
- References
- Towards an Extension and Normalization of the Random Vector Anisotropy Magnitude
- 1 Preliminaries
- 2 An Extension with a Symmetric Tsallis Divergence
- 3 Basic Algorithm
- 4 An Example of Comparing A1/2T [ z ] and A1/2Tnorm [ z ]
- 5 Normalized Mean Anisotropic Norms
- 6 Conclusions
- References
- Non-linear Correlation Based Approach to the Identification of Maximally Stationary Systems
- 1 Introduction
- 2 Maximally Stationary Random Processes and Systems
- 3 Main Results
- 4 Identifiability and Non-linearity
- 5 Conclusions
- References
- Development of Logistics Models for Oil Cargo Transportation to Reduce Logistics Costs and Improve Wagon Mileage
- 1 Introduction
- 2 Logistics Schemes Implemented in LUKOIL-Trans Ltd.
- 3 Calculation of Costs When Dispatching/Returning Tank Wagons from Veseloe Station of SCR and Stations of Latvian Railways (Logistic Scheme 1)
- 4 Calculation of Costs When Dispatching Tank Wagons from Pridacha Station (Logistics Scheme No. 2)
- 5 Elaboration of a Logistic Model for Oil Cargo Transportation by Introducing Triangular Wagon Fleet Movement Along the Lapshinskaya - Budennovsk - Ventspils/Mangali - Lapshinskaya Route
- 6 Conclusion
- References
- Investigating the Closer Running of Rail Vehicles for Better Network Utilisation
- 1 Baseline Simulation Model: Coventry to Birmingham New Street, UK
- 1.1 Layer 1: Infrustructure
- 1.2 Layer 2: Baseline Train Dynamic Motion Model (BTDMM)
- 1.3 Layer 3: Relative Distance Brake Mode Applied to BTDMM
- 1.4 Layer 4: Key Performance Indicators (KPIs)
- 2 Results and Discussion
- 3 Conclusions
- References
- Hyperautomation and Industry 4.0
- Understanding Manufacturing Processes on Basis of Visualized Machine and Sensor Data
- 1 Introduction
- 2 Experimental Infrastructure
- 3 Material and Sample Preparation
- 4 Evaluation Methods
- 5 Results
- 6 Conclusion
- References
- Optimizing Maintenance Cost of Uniform Rolling Stock by Scheduling Algorithms
- 1 Introduction
- 2 Problem Formulation
- 3 Optimization Methods
- 3.1 Heuristics
- 3.2 Particle Swarm Optimization
- 4 Experiments
- 5 Conclusion
- References
- Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence
- 1 Introduction
- 2 Research Approach and Context
- 3 Problem Identification and Objectives for the Solution
- 4 Requirements for the Proof of Concept
- 5 Refining the Proof of Concept
- 6 Conclusions and Further Research
- References
- Towards 100% Overall Equipment Effectiveness (OEE) at Semi-automatic Assembly Lines - Case Study
- 1 Introduction
- 2 Literature Review
- 2.1 Overall Equipment Effectiveness as a Metric
- 2.2 Assembly Lines and OEE Measurement
- 3 Achieve 100% Overall Equipment Effectiveness at Semi-automatic Assembly Lines
- 3.1 OEE Calculation and Upper Limit
- 3.2 Case Study from Automotive Industry
- 4 Conclusion
- References
- Internet of Things, Sensor and Biometric Systems
- Channel State Information Variability in BLE Positioning Measurements
- 1 Introduction
- 2 Related Work
- 3 Measurements Plan
- 4 Fixed Angle and Distance Measurements
- 5 Variant Angle Measurements
- 6 Conclusions and Future Work
- References
- Machine Learning Applied to Internet of Things Applications: A Survey
- 1 Introduction
- 2 IoT with ML Application Areas
- 2.1 Agriculture
- 2.2 Healthcare
- 2.3 Smart Cities
- 2.4 Transportation
- 2.5 ML at Edge for IoT Devices
- 3 Conclusion
- References
- Identification of the Important Parameters for Ranking of Open-Source Home Automation Platforms for IoT Management
- 1 Introduction
- 2 Important Features and Ranking of Open-Source Home Automation Platforms for IoT Management
- 3 Decision-Making Model for Evaluation and Ranking of Open Source Home Automation Platform
- 4 Numerical Application
- 5 Result Analysis and Discussion
- 6 Conclusions
- References
- Miniature Circuit Breaker Based Non-intrusive Power Monitoring and Load Classification System with AIoT Technology
- 1 Introduction
- 2 Proposed System and Methods
- 2.1 System Architecture
- 2.2 Development of Server-Side Software
- 2.3 Development of Web Application
- 2.4 Development of Neural Network Model
- 3 Results and Discussion
- 4 Conclusions
- References
- Wireless Sensor Network Routing for Energy Efficiency
- 1 Introduction
- 1.1 Wireless Sensor Networks
- 1.2 Purpose of the Paper
- 1.3 What Others Have Done in WSN Energy Efficiency
- 1.4 Application Areas
- 1.5 Modelling and Simulation
- 1.6 Data-Centric Protocols as the Base of Our Work
- 2 Wireless Sensor Network Under Consideration
- 2.1 Key Limitations of the Network
- 2.2 Our Approach
- 2.3 Building and Exercising the NetLogo Models
- 2.4 Our Models
- 2.5 Algorithms for the NetLogo Models
- 2.6 General Notes
- 2.7 Ramifications of the Specific Protocols
- 3 Results
- 4 Conclusion
- References
- Demonstration of the Improvement of Golf Swing Practice Effectiveness Using Sonification Feedback
- 1 Introduction
- 2 Method
- 2.1 Overview of Developed System
- 2.2 Experiment 1: Measurement Experiment Using Acceleration Sensor
- 2.3 Experiment 2: Measurement Experiment Using OpenPose
- 3 General Discussion
- 4 Conclusion
- References
- Medical Systems and Applications
- Brain Tumor Detection and Brain Stroke Diagnosis System Using CANFIS Classifier
- 1 Introduction
- 2 Existing Systems
- 3 Proposed Methodology for Diagnosis of Stroke
- 3.1 Feature Extraction
- 3.2 Classification
- 4 Results and Discussion
- 5 Conclusion
- References
- Mathematical Model of Multi-wave Pandemic COVID-19
- 1 Initial Assumptions
- 2 Regression Functions for One Wave of the Epidemic
- 3 Application of the Gompertz Function
- 4 The Generalisation of the Gompertz Function for Multiple Waves of an Epidemic
- 5 Calculation of Coefficients of Regression Functions
- 5.1 Data Preparation
- 5.2 Iterative Procedure
- 6 Procedure for Determining the Initial Values of Parameters
- 7 The Final Iteration, Transient Period
- 8 Conclusion
- 8.1 Evaluation of the Course of the COVID-19 Epidemic in the Czech Republic
- 8.2 Evaluation of Regression Quality
- References
- Design of a System for Automatic Vessel Lumen Segmentation in Optical Coherence Tomography Images Based on Active Contour and Binarization
- 1 Introduction
- 1.1 Related Work
- 2 Materials and Methods
- 2.1 Dataset
- 2.2 Image Preprocessing
- 2.3 Binarization
- 2.4 Removal of Artifacts
- 2.5 Lumen Segmentation Using Active Contour
- 2.6 Contour Postprocessing
- 2.7 Results Validation
- 3 Results and Discussion
- 4 Conclusion
- References
- Robotics, Computer Vision, and HCI
- LLFSMs on the PRU: Executable and Verifiable Software Models on a Real-Time Microcontroller
- 1 Introduction
- 2 The Case for MDSE and Modelling with LLFSMs
- 3 Using Logic-Labelled Finite-State Machines (LLFSMs)
- 4 Formal Verification
- 5 Final Remarks
- References
- Parameterizable Lidar-Assisted Traffic Sign Placement for the Augmentation of Driving Situations with CycleGAN
- 1 Introduction
- 2 Related Work
- 3 Methodology of Traffic Sign Placement
- 3.1 Traffic Sign Placement Proposal Method
- 3.2 Traffic Sign Generation
- 4 Implementation
- 5 Evaluation
- 6 Conclusion and Outlook
- References
- Feature Point Cloud Based Registration in Augmented Reality
- 1 Introduction
- 2 Feature Based Tracking Method
- 2.1 Camera Tracking
- 2.2 Key Points Selection
- 2.3 Clouds Point Alignment by ICP
- 2.4 Global and AR Point Cloud Merge
- 3 Numerical Experiments and Results
- 4 Conclusions
- References
- A 360° Video Editing Technique that Can Avoid Capturing the Camera Operator in Frame
- 1 Introduction
- 2 Purpose
- 3 Seamless 360° Video Composition from Two Sets of Videos
- 3.1 Step1: Checking Video
- 3.2 Step2: Cutting Video
- 3.3 Step3: Video Composition
- 3.4 Step4: Video Track Adjustment
- 4 Summary and Future Work
- References
- Memory Aid Application Based on Memory Palace Theory
- 1 Introduction
- 2 Background
- 3 Purpose
- 3.1 Related Studies
- 3.2 Application Assumptions
- 4 Proposal of the Design Method
- 4.1 Design Concept
- 4.2 Design Method
- 5 Conclusions
- References
- Parallel and Distributed Systems
- The Performance Analysis of Web Applications Using Parallel.js Library
- 1 Introduction
- 2 Background
- 2.1 Concurrency in JavaScript
- 2.2 Web Workers
- 2.3 Parallel.js Library
- 2.4 Review of the Literature
- 2.5 State of the Art
- 3 Methods
- 3.1 Variables and Indicators
- 3.2 Research Environment
- 3.3 Experiments
- 3.4 Difficulties and Significance of Research
- 4 Results
- 4.1 Client-Side Experiments
- 4.2 Server-Side Experiments
- 4.3 Discussion
- 5 Conclusions
- References
- Parallel Accelerator for Discontinuous Galerkin Method for Navier-Stokes Equations
- 1 Introduction
- 2 Basics
- 3 Accelerator Design
- 4 Implementation
- 5 Results
- 6 Conclusion and Future Work
- References
- SBQP: Towards a Semantic-Based Query Processing for Efficient Mediation Caching
- 1 Introduction
- 2 Problem Statement
- 3 Related Works
- 3.1 Semantic Caching
- 3.2 Query Processing
- 3.3 Semantic-Based Similarity Measures
- 4 Our Contribution
- 5 Evaluation
- 6 Conclusion and Future Works
- References
- The Need for Automated Analysis of Computer Systems' Configuration
- 1 Introduction
- 2 What Is System Administration
- 3 Desirable Features for Automation
- 4 State of the Art
- 5 An Example of an Unsolved Problem
- 6 Conclusions and Future Work
- References
- On Scalability of Processing in Computational Clouds
- 1 Introduction
- 2 Evaluation of Processing in Computational Clouds
- 3 Computational Experiments and Analysis of Results
- 3.1 Computational Experiment Details
- 3.2 Results of Processing and Analysis
- 4 Conclusions
- References
- Author Index
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