Advanced Technologies, Systems, and Applications VIII: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of ... (Lecture Notes in Networks and Systems, 644)

Preface\nContents\nCivil Engineering\nApplication of Microsimulation Models for Traffic Emission Assessment\n	1 Introduction\n	2 Previous Research\n	3 Research Methodology\n	4 Results and Discussion\n	5 Conclusion\n	References\nAdded Value in Implementation of Capital Projects by Monitoring, Evaluation and Learning (MEL)\n	1 Introduction\n	2 Research Methodology\n	3 Monitoring, Evaluation and Learning (MEL)\n	4 Project Representation and Organization for MEL Purpose\n	5 Elements of MEL Plan\n	6 Proposal for Possible Application of MEL for Different Type of Capital Projects\n		6.1 Construction of an Indoor Olympic Swimming Pool in Community X\n		6.2 Construction of the Electric Tram Line Between A and B in Community Y\n		6.3 Construction of the Community C’ Center for Healthy Aging\n		6.4 Improvement of Water Supply Service in Community D\n	7 Conclusion\n	References\nSeismic Analysis of Buildings with a Soft Storey Using Pushover Analysis\n	1 Introduction\n	2 Elaborated Cases\n	3 Nonlinear Analysis\n		3.1 Modeling of Plastic Hinges\n		3.2 Modeling of the Structures (Models 1, 2, and 3)\n	4 Results\n	5 Conclusion\n	References\nMethodology of Ranking of the Main Road Network in the Federation of Bosnia and Herzegovina from the Aspect of Demography and Economic Development as Part of the Climate Resilience Risk Assessment\n	1 Introduction\n	2 The Main Road Network in the Federation of Bosnia and Herzegovina\n	3 Methodology\n		3.1 Demography\n		3.2 Economic Development\n		3.3 Ranking of Main Road Network Sections\n	4 Conclusion\n	References\nMethodology of Traffic Safety Management at Railway Crossings in Bosnia and Herzegovina\n	1 Introduction\n	2 Methodology for Management of Traffic Safety at the Railway Crossings\n	3 Definition of Criteria for Interventions at Railway Crossings\n	4 Case Study - Evaluation of Traffic Safety at Level Crossings on the Section of the “Sarajevo - Doboj” Railway\n		4.1 Creation of a Geospatial Database\n		4.2 Criteria for Evaluating Traffic Safety at LC\n		4.3 The Results of the Analysis and Ranking Level Crossing\n	5 Conclusions\n	References\nBuilding Information Modeling Education at Bosnian and Herzegovina Universities\n	1 Introduction\n	2 Literature Review\n	3 Methodology\n	4 Analysis and Discussion\n	5 Conclusion\n	References\nSpalling of Concrete\n	1 Introduction\n	2 Research Methodology\n	3 Types of Concrete Spalling\n	4 Causes of Concrete Spalling\n		4.1 Material Related Parameters\n		4.2 Structural/Mechanical Parameters\n		4.3 Heating Characteristic Parameters\n	5 How Does Spalling Affect Concrete Structures?\n		5.1 Reduction of Load Bearing Capacity of Concrete Members Affected by Spalling\n	6 Prevention of Concrete Spalling\n	7 Conclusion\n	References\nMathematical Model Identification of Measures for Improving the Energy Efficiency on Road Tunnels Facilities\n	1 Introduction\n	2 Tunnel Systems Components\n		2.1 Energetic Efficiency of Lighting System in Tunnels\n		2.2 Energetic Efficiency of Tunnel Ventilation System\n		2.3 Energetic Efficiency of Fire Alarm System\n		2.4 Energetic Efficiency of Video Surveillance System\n		2.5 Energetic Efficiency of Traffic Information System\n		2.6 Energetic Efficiency of Telephone Call System\n		2.7 Energetic Efficiency of Radio Communication System\n		2.8 Energetic Efficiency of Sound System\n		2.9 Energetic Efficiency of Hydrant System and Water Supply System\n		2.10 Energetic Efficiency of Power Supply System\n		2.11 Energetic Efficiency of Other Systems in Tunnels\n	3 Concept of Energy Inspection of Tunnel Systems\n	4 Mathematical Model of Identification of Potential Measures\n	5 Conclusion\n	References\nII Geodesy and Geoinformatics\nUse of UAV for Object Deformation Detection\n	1 Introduction\n	2 Methods and Data\n	3 Results, Analysis, and Discussion\n		3.1 Terrestrial Measurement\n		3.2 3D Model and Accuracy Assessment\n		3.3 Homogeneous Accuracy Test of Two Models\n		3.4 Detection of Deformations\n	4 Conclusion\n	References\nAn Evaluation of the Dams Crest Movement Influenced by Thermal Variations: A Machine Learning Approach\n	1 Introduction\n	2 Data and Methodological Framework\n	3 System Modeling\n	4 Results and Discussion\n	5 Conclusion\n	References\nGeometric Enhancement of the Cadastre of Underground Utility Networks\n	1 Introduction\n	2 Materials and Methods\n		2.1 Underground Utility Map\n		2.2 TPS-Based Correction of the Scanned Map\n	3 Results and Discussion\n	4 Conclusion\n	References\nData Science and Geographic Information Systems\nInteractive Narrative Design and Storytelling, Use Case with Geospatial Data\n	1 Introduction\n	2 Methodology\n		2.1 A Review of Existing Tools\n		2.2 Interactive Narrative Design\n		2.3 Visualization Patterns\n	3 USE CASE: Solution for Geospatial Storytelling\n		3.1 Architecture of Proposed Solution\n		3.2 Data Model\n		3.3 Process Model\n		3.4 Designing Interface\n	4 Discussion\n	5 Conclusion\n	References\nGeoinformation Crowdsourcing and Possible Applications in Croatia\n	1 Introduction\n	2 Possibilities of Application of the System for Geoinformation Crowdsourcing\n		2.1 First, Second and Third VGI Script\n		2.2 Conducting a Geo-survey\n	3 Geo-survey Results\n		3.1 Discussion of the Conducted Geo-survey\n	4 Conclusion\n	References\nDistribution of Medieval Necropolises and Tombstones in the Bosnia River Basin\n	1 Introduction\n		1.1 Geographical Characteristic of the Bosnia River Basin\n		1.2 Historical Development of Medieval Bosnia\n		1.3 General Characteristics of Medieval Bosnian Tombstones\n	2 Materials and Methods\n	3 Results and Discussion\n	4 Conclusion\n	References\nUse of Augmented Reality to Present Archaeological Contents\n	1 Introduction\n	2 Augmented Reality Technology\n	3 Augmented Reality Cartographic Application for Archaeological Sites in Vinkovci\n	4 Testing and User Experience of the Application ArheVinkovci\n	5 Conclusions\n	References\nBreast Cancer Classification Using Support Vector Machines (SVM)\n	1 Introduction\n	2 Literature Review\n	3 Materials and Methods\n		3.1 Dataset Description\n		3.2 Feature Extraction\n	4 Implementation\n		4.1 Data Preparation\n		4.2 Data Visualization\n	5 Machine Learning\n		5.1 Model Training\n		5.2 Support Vector Machine (SVM)\n		5.3 Implementation Details\n		5.4 Results and Discussion\n	6 Conclusions\n	References\nDevelopment of Soil Type Valuation Model in GIS for Sustainable Agricultural Production\n	1 Introduction\n	2 Data and Methodology\n	3 Results and Discussion\n	4 Conclusions\n	References\nGeospatial Analysis of Residential Zones from the Aspect of Natural Limitations – A Case Study of the Urban Territory of Sarajevo\n	1 Introduction\n	2 Data Structure\n	3 Data Processing and Presentation\n		3.1 Hypsometric Scale of the Terrain\n		3.2 Aspect\n		3.3 Slope\n		3.4 Terrain Stability\n		3.5 Analysis of Residential Zones\n		3.6 Current Situation of Residential Buildings\n		3.7 Geospatial Analysis of Residential Buildings Spatial Distribution\n	4 Conclusions\n	References\nComputer Science and Artificial Intelligence\nCredit Card Fraud Payments Detection Using Machine Learning Classifiers on Imbalanced Data Set Optimized by Feature Selection\n	1 Introduction\n	2 Literature Review\n		2.1 Data Imbalance Issues in Credit Card Fraud Detection Studies\n	3 Methodology\n		3.1 Dataset\n		3.2 Synthetic Minority Oversampling Technique (SMOTE)\n		3.3 Feature Selection Methods\n		3.4 Machine Learning Methods for Classification\n		3.5 Proposed Method\n	4 Results\n		4.1 Performance Evaluation\n		4.2 Experiment Result\n	5 Discussion\n	6 Conclusion\n	References\nDocument-Based Sentiment Analysis on Financial Texts\n	1 Introduction\n	2 Background and Literature Review\n		2.1 Sentiment Analysis\n		2.2 Literature Review\n		2.3 Research Objectives\n	3 Research Methodology\n		3.1 Proposed Method\n		3.2 Dataset\n		3.3 Data Preparation\n		3.4 Text Summarization\n		3.5 Machine Learning Models\n	4 Results\n		4.1 Performance Evaluation\n		4.2 Experimental Results\n	5 Discussion\n	6 Conclusion\n	References\nEmotion Detection Using Convolutional Neural Networks\n	1 Introduction\n		1.1 About Machine Learning\n		1.2 Deep Learning\n		1.3 Convolutional Neural Networks\n		1.4 Facial Expression Recognition\n	2 Problem Definition\n	3 Literature Review\n	4 Problem Solution\n		4.1 Choosing Development Environment\n		4.2 FER-2013 Image Dataset\n		4.3 Creating CNN Architecture\n		4.4 Saving Best Weights\n		4.5 Prevent Overfitting\n		4.6 Choosing Computing Device\n		4.7 Configuring Training and Validation Parameters\n	5 Results and Discussion\n		5.1 Training and Validation Results\n		5.2 Confusion Matrix and AI Metrics\n		5.3 Comparisons with Related Work\n	6 Conclusion\n	References\nFrom Olympics to War – Pursuing Sarajevo Identity Using Sentiment Analysis\n	1 Introduction\n	2 Literature Review\n	3 Methodology\n		3.1 Data Collection\n		3.2 Data Preprocessing\n		3.3 Word Tokenization\n		3.4 Stemming and Stop Words Removal\n		3.5 Sentiment Analysis\n	4 Results\n		4.1 Text Preprocessing\n		4.2 Word Cloud Analysis\n		4.3 Word Frequency Analysis\n		4.4 Bigram analysis\n		4.5 Sentiment Analysis\n	5 Discussion and Conclusion\n	References\nThe Employment of a Machine Learning-Based Recommendation System to Maximize Netflix User Satisfaction\n	1 Introduction\n	2 Related Work\n	3 Materials and Methods\n		3.1 Data\n		3.2 Developing the Recommendation System\n		3.3 Movie and TV Show Feature Classification\n	4 Experimental Results\n		4.1 Experimental Setup\n		4.2 Results\n	5 Conclusion and Discussion\n		5.1 Discussion of Results\n		5.2 Limitations and Possibilities for Extension\n		5.3 Conclusion\n	6 Future Work\n	References\nA Recommendation System for Movies by Using Hadoop Mapreduce\n	1 Introduction\n	2 Related Work\n	3 Materials and Methods\n		3.1 Data\n		3.2 Hadoop MapReduce\n		3.3 Item-to-Item Based Collaborative Filtering\n		3.4 Cosine Similarity\n	4 Experimental Setup\n		4.1 Computing Resources and Frameworks\n		4.2 Part 1\n		4.3 Part 2\n		4.4 Final Program\n	5 Discussion and Results\n	6 Conclusion\n	References\nBusiness-Driven Analysis of Website Traffic: A Case Study\n	1 Introduction\n	2 Literature Review\n	3 Materials and Methods\n		3.1 Dataset Overview\n		3.2 Utilized Technologies\n	4 Results of Analysis\n		4.1 Exploratory Data Analysis\n		4.2 Analysis of US Visit Sessions\n	5 Discussion\n	6 Conclusion\n	References\nComposable ERP – New Generation of Intelligent ERP\n	1 Introduction\n	2 ERP Evolution\n	3 The Composable ERP\n	4 Roadmap to Composable ERP Architecture\n	5 AI-Driven ERP\n	6 Conclusion\n	References\nBuilding a Recommendation System for E-Commerce Using Machine Learning and Big Data Technologies\n	1 Introduction\n	2 Literature Review\n	3 Methods and Materials\n		3.1 Alternating Least Squares (ALS) Algorithm\n		3.2 Apache Spark\n		3.3 Proposed Methods\n	4 Results\n	5 Discussion\n	6 Conclusions\n	References\nImplementation and Evaluation of a Deep Neural Network for Spam Detection: An Empirical Study of Accuracy and Efficiency\n	1 Introduction\n		1.1 Related Work\n	2 Neural Networks\n		2.1 Recurrent Neural Networks\n	3 Designing and Building a Neural Network\n		3.1 Designing the Network\n		3.2 Creating the Model\n	4 Results\n	5 Conclusion\n	References\nGradual Increase of Natural Disaster Occurrences in the Context of Climate Change\n	1 Introduction\n	2 Literature Review\n	3 Materials and Methods\n		3.1 Dataset Overview\n		3.2 Utilized Technologies\n	4 Results of Analysis\n		4.1 Exploratory Data Analysis\n		4.2 Analysis by Disaster Type\n	5 Discussion\n	6 Conclusion\n	References\nV Information and Communication Technologies\nA Comparative Performance Analysis of Various Antivirus Software\n	1 Introduction\n	2 Testing and Analysis of Antivirus Software\n		2.1 Analysis of the Quick and Full Scan\n		2.2 Analysis of the Installation Files Detecting\n		2.3 Analysis of the Antivirus Software Using Real Malicious Software\n	3 Conclusion\n	References\nEnhancing the Accuracy of Finger-Based Heart Rate Estimation During At-Home Biofeedback Therapy with Smartphone\n	1 Introduction\n	2 Background\n	3 Calibration Procedure for Heart Rate Estimation\n	4 Experimental Setup and Results\n		4.1 Dataset\n		4.2 Results\n	5 Conclusion\n	References\nEffects of Protection Cloud Accounting and Connection with the Frequency of Cyber Attacks\n	1 Introduction\n	2 Cloud Accounting\n		2.1 Advantages and Disadvantages of Cloud Accounting\n		2.2 Cloud Accounting Features\n	3 Cybersecurity in Cloud Accounting\n		3.1 Forms and Effects of Cybersecurity Incidents in Accounting\n		3.2 Effects of Cyber Security Deficiency in Accounting\n	4 The Aim and Hypothesis of Research\n	5 Materials and Methods of Research\n	6 Results of the Research\n	7 Conclusion\n	References\nApplied Science in Mechanical Engineering Technology\nManaging Risks of Renewable Energy Projects in Bosnia and Herzegovina Based ISO31000 and PMBOK\n	1 Introduction\n		1.1 Literature Review\n	2 Possible Risk Analysis of Renewable Energy Projects\n		2.1 Risks in Project Preparatory Phase\n		2.2 Risks in Construction Phase\n		2.3 Project Financing Risks\n	3 Project Risks and Limitations\n	4 Project Risk Management\n		4.1 Risk Management Planning\n		4.2 Risk Identification\n	5 Qualitative and Quantitative Risks Analysis\n	6 Case Study: Risk Analysis and Risk Management of 10 MW Solar Powerplant Project\n	7 Results\n	8 Conclusion\n	References\nExploring the Strength of Wood: Measuring Longitudinal Modulus of Elasticity in Structural Applications\n	1 Introduction\n	2 Materials and Test Methods\n		2.1 Materials\n		2.2 Performing the Experiment\n		2.3 Bending Testing Procedures\n	3 Results and Discussion\n	4 Conclusion\n	References\nContribution to the Diagnostics of the Internal Combustion Engine Timing Mechanism Chain\n	1 Introduction\n	2 Description of the Experimental Measurement Method\n	3 Analysis of the Measured Results\n	4 Conclusion\n	References\nParametric Optimization of MQCL-Assisted Turning Operation of X5CrNi18–10 Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach\n	1 Introduction\n	2 Materials and Methods\n	3 Optimization Methodology\n	4 Multi-response Optimization of MQCL Parameters\n	5 Comparative Analysis of MCDM Methods\n	6 Conclusions\n	References\nInfluence of Different Cutting Speeds on CNC Milling on Surface Roughness of Objects Made from Steamed and Heat-Treated Beech Wood\n	1 Introduction\n	2 Tools\n	3 Materials\n	4 Surface Roughness\n	5 Experimental Set-Up and Adjustment of Cutting Speed\n	6 Measurement of Surface Roughness\n	7 Results\n	References\nThermal Modification of Wood\n	1 Introduction\n	2 Mathematical Model\n		2.1 Thermal Modification of Wood\n		2.2 Constitutive Relations\n		2.3 Mathematical Model\n	3 Numerical Model\n		3.1 Discretization\n		3.2 Problem Solving\n	4 Thermal Treatment of Wooden Planks\n	5 Conclusion\n	References\nThe Influence of Mill Loading on the Distribution of Pulverized Coal Particles\n	1 Introduction\n		1.1 Identification of Problems in Mill Operation\n	2 Numerical Model\n		2.1 Geometry Modelling and Discretization\n		2.2 Formulation of Physical and Mathematical Model\n		2.3 Simulation Conditions\n		2.4 Validation of Numerical Model\n	3 Results and Discussion\n		3.1 Impact of Mill Load on the Distribution of Pulverized Coal\n		3.2 Impact of Particle Size on the Distribution of Pulverized Coal\n	4 Conclusion\n	References\nInfluence of Coal Mixing Process on the Performance of the Steam Boiler\n	1 Introduction\n		1.1 System Under consideration – Boiler OB 650\n	2 Simulation Model\n		2.1 Validation of Model\n	3 Simulation and Experiment Results\n		3.1 Impact of Coal Homogenization Process on the Boiler Performance\n		3.2 Influence of Ash and Moisture Content in Coal on the Boiler Performance\n		3.3 Influence of Coal M1 Content in Mixture on the Boiler Performance\n	4 Conclusion\n	References\nExergy Analysis of a Solar Assisted Desiccant Cooling System\n	1 Introduction\n	2 Basics of Exergy Analysis of Heat-Driven Systems\n	3 Exergy Analysis Methodology\n	4 Results and Discussion\n	5 Conclusion\n	References\nInvestigation of the Concentration of Air Pollutants in the Vertical Profile in the Zenica Valley\n	1 Introduction\n	2 Research Methods\n	3 Discussion of Research Results\n	4 Conclusions\n	References\nVII Advanced Electrical Power Systems\nData Mining Techniques Application for Electricity Consumption Analysis and Characterization\n	1 Introduction\n	2 Literature Review\n	3 Theoretical Background\n		3.1 Smart Metering\n		3.2 Data Mining and Machine Learning\n	4 Methodology\n		4.1 Clustering Analysis and Comparation of Electricity Consumption Datasets\n		4.2 Comparation of Machine Learning Models of Electricity Consumption Classification\n	5 Results and Discussion\n	6 Conclusions and Future Research Directions\n	References\nUniversity Campus as a Positive Energy District – A Case Study\n	1 Introduction\n		1.1 What is a Positive Energy District?\n		1.2 University Campus as PED\n	2 Case Study: Sjeverni Logor University Campus\n		2.1 Materials and Methods\n		2.2 Results and Discussion\n	3 Conclusion\n	References\nState Estimation in Electric Power Systems Using Weighted Least Squares Method\n	1 Introduction\n	2 Theoretical Background\n		2.1 State Estimation in Electric Power Systems\n		2.2 Calibrating Electricity Consumption\n		2.3 Weighted Least Squares Method\n	3 Methodology\n	4 Results and Discussion\n	5 Conclusions\n	References\nAdaptive Under Frequency Load Shedding Using Center-of-Inertia Frequency\n	1 Introduction\n	2 Applied Methodology\n	3 Illustrative Example\n	4 Conclusion\n	References\nPredictive Maintenance of Induction Motor Using IoT Technology\n	1 Introduction\n	2 Predictive Maintenance of Induction Motor\n	3 Failures in Induction Motor\n	4 Predictive Maintenance of Induction Motor Using IoT Technology\n	5 Example of Predictive Maintenance of Induction Motor Using IoT Technology\n	6 Conclusion\n	References\nAuthor Index