Reliability and Statistics in Transportation and Communication : Selected Papers from the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Digital Twins - From Development to Application, RelStat-2023, October 19-21, 2023, Riga, Latvia / / edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis

• Record Nr.: UNINA9910831019503321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 3-031-53598-7
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (621 pages)
• Collana: Lecture Notes in Networks and Systems, , 2367-3389 ; ; 913
• Disciplina: 380.5
• Soggetti: Computational intelligence; Transportation engineering; Traffic engineering; Statistics; Computational Intelligence; Transportation Technology and Traffic Engineering; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Contents -- Plenary Session -- Digital Twins for CCAM Applications - The Case of Augmented CCAM and Beyond -- 1 Introduction -- 1.1 About Digital Twins -- 1.2 The AUGMENTED CCAM Project and Contents of Manuscript -- 2 Insight into Digital Twins for Transport -- 3 Digital Twins in Latvia -- 3.1 Test Sites and PDI Enabled Solutions in Latvia -- 3.2 Digital Twins for Test Sites in Latvia -- 4 Digital Twins in Spain -- 4.1 Test Sites and PDI Enabled Solutions in Spain -- 4.2 Digital Twins for Test Sites in Spain -- 5 Digital Twins in France -- 5.1 Test Sites and PDI Enabled Solutions in France -- 5.2 Digital Twins for Test Sites in France -- 6 Conclusions -- References -- Smart Solutions in Transport Systems -- Electric Kick Scooter Driving Simulation - Risks and Safety -- 1 Introduction -- 2 Multi-body ; Dynamics Model and Simulation Details -- 3 Results from the Modelling -- 4 Conclusions -- References -- Optimizing Ride-Sharing Potential in New York City: A Dynamic Algorithm Analysis of Peak and Off-Peak Demand Scenarios -- 1 Introduction -- 2 Methodology -- 2.1 Data Selection and Cleaning -- 2.2 Analyzing Data and KPIs -- 2.3 ADARTW Algorithm -- 3 Results and Discussion -- 3.1 No-Sharing Scenario -- 3.2 Sharing Scenarios -- 4 Conclusions -- References -- Smart City and Smart Port Concepts: A Conceptualisation for Digital Small and Medium-Sized Port-City Innovation Ecosystems -- 1 Introduction -- 2 Understanding Port-City Interactions -- 3 On the Search for Port-City Intertwining: Port-City Charter and Sustainable Port Development -- 4 The DigiTechPort2030 Initiative as Empirical Landscape for Concept Design -- 5 Conceptualising Port-City Innovation Ecosystem for Energy Transition -- 6 Conclusions -- References -- Sustainable Transportation -- On Safety Aspects of Ammonia as Marine Fuel -- 1 Introduction.; 2 State of the Art Safety and Regulations -- 2.1 Current Safety Aspects and Regulatory Background -- 2.2 Regulations Regarding Ammonia as Fuel -- 3 Ammonia as Fuel -- 3.1 Ammonia Bunker Quantity -- 3.2 Influence on Engine Operation -- 3.3 Applied Safety Measurement -- 4 Techno - Economic Implementations -- 5 Conclusion -- References -- Hydrodynamic and Dynamic Model of Liquefied Natural Gas Transportation System -- 1 Introduction -- 2 Research Object -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusions -- References -- Corporate Transition to Sustainable Low-Carbon Development as a Factor of Market Benchmarks' Dynamics -- 1 Introduction -- 2 Literature Review -- 3 Methodology of the Research -- 4 Research Results -- 5 Discussion -- 6 Conclusions -- References -- Some Causes and Effects of Pressure Pulsation in a Hydraulic System Including the Impact on the Environment -- 1 Introduction -- 2 Positive Displacement Pump Capacity Pulsation -- 3 Hydraulic Resonance in Transmission Line - Hydraulic Long Line (HLL) -- 4 Conclusions -- References -- The Role of Mobile Service Stations in the International Road Transport Corridors -- 1 Introduction -- 2 Related Works -- 3 Mobile Service Station Placement on International Transport Corridors -- 3.1 Service Delivery Model of International Road Transport Corridor -- 3.2 Optimization of Mobile Service Station Placement on International Transport Corridors -- 3.3 Case Study for Kazakhstan -- 3.4 Strategic Plan for the Deployment of Mobile Service Stations -- 3.5 Future Developments and Reassessment Framework for Mobile Service Station Strategy on the Kazakhstan Transport Corridor -- 4 Conclusion -- References -- Artificial Intelligence Applications -- A Case Study on Retroreflective Marker Usage in Industrial 3D Lidar Applications -- 1 Introduction -- 2 Technological Background.; 2.1 Lidar Working Principle -- 2.2 Materials and Surfaces and Their Influence on Intensity Measurement -- 3 Markers Used in Lidar Applications -- 3.1 History of Marker Usage -- 3.2 Novel Design Approaches for Markers -- 3.3 Industrial Application of Markers -- 4 Potential Use Cases for Retroreflective Markers in Industrial 3D Lidar Applications -- 4.1 Marker Assisted Process Crane Localisation in Foundry -- 4.2 Retroreflective Markers for Validation of AI-Based Object Detections -- 4.3 Global Multi-vehicle SLAM for Demanding Mining Applications -- 5 Conclusion -- References -- Anomaly Detection for Intrusion Detection Systems Using Machine Learning: Experimental Study and Feature Reduction Approach -- 1 Introduction -- 2 Overview of the Publications for Anomaly Detection -- 3 Datasets and Research Methodology -- 4 Reducing the Number of Features by the AHP-Like Method -- 5 Results of Testing and Discussion -- 6 ; Conclusion -- References -- Review of AI-Based Vision Detection Algorithms for Autonomous Mobile Robots -- 1 Introduction -- 2 Methodologies in Vision Detection -- 2.1 Role of Training Data -- 2.2 Image Processing -- 2.3 Performance Metrics in Robot Vision Detection -- 2.4 Future Directions and Improvements in Robot Vision Detection -- 2.5 Reflecting on the Evolution and Potential of AI- Based Vision Detection Algorithms -- References -- Development of a Conceptual Network for AI-Based Management and Leadership Applying Graph Theory -- 1 Introduction -- 2 Literature Review -- 2.1 Graph Theory -- 2.2 Process Management -- 2.3 Artificial Intelligence and Machine Learning in Decision-Making -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Forecasting IT Project Completion Time: Artificial Neural Networks Approach -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Objectives -- 1.3 Significance of the Study -- 2 Literature Review.; 2.1 Previous Studies on the Research Topic -- 2.2 The Novelty of the Proposed Idea and the Discussed Approach -- 3 Methodology -- 3.1 Collection and Processing of Measurements of Development Processes -- 3.2 Choice of Parameters -- 3.3 Running Experiments -- 3.4 Expert Evaluation of the Results of Forecasting Experimentally -- 3.5 Data Collection and Analysis -- 4 Results and Discussion -- 4.1 Conducted Experiments of the Developed Methodology on the Basic Learning Model -- 4.2 Presentation of Findings -- 4.3 Discussion of Findings -- 4.4 Limitations -- 5 Conclusions -- References -- The Use of Artificial Intelligence to Convert Social Media Data into Actionable Insights -- 1 Introduction -- 2 Literature Review -- 3 Research Method and Methodology -- 4 Research Findings and Results -- 4.1 A Systematic Review Process and Results -- 4.2 A Survey Study Findings -- 4.3 A Classroom Experiment Process and Results -- 4.4 Synthesis of Findings -- 5 Conclusions -- References -- Comparison of Classical and AI-Based Decision-Making Methodologies -- 1 Introduction -- 2 Literature Review -- 3 Methodologies -- 4 Results -- 4.1 Results of the Cost Benefit Analysis Without a Model (Variant 1) -- 4.2 Results of the Random Forest Classifier (Variant 2) -- 5 Conclusion and Discussion -- References -- Aviation -- Value Proposition Benchmarking: Case Study of Middle East Airlines -- 1 Addressing Challenges of Value Shift and Commoditization -- 2 New Air Carrier Riyadh Air on the Middle East Air Transportation Market -- 3 Methodology -- 4 Results and Discussion -- 4.1 Data Collection Results -- 4.2 Grouping of Values -- 4.3 Sentiment Analysis -- 4.4 Sustainability-Related Wording -- 4.5 Possible Directions for Application -- 4.6 Riyadh Air Benchmarking -- 5 Conclusions -- References -- Suitability of Inventory Policies for Supply of Spare Parts in Aviation Industry.; 1 Introduction -- 2 Background of Aviation Spare Parts Relevant for Inventory Policies -- 3 Applicability in Aviation -- 3.1 EOQ Model -- 3.2 Newsvendor Model -- 3.3 (s, S) Policy - min-max Model -- 3.4 Order-Up-To Policy -- 3.5 Reorder-Point Order-Quantity Policy -- 4 Used Spare Parts -- 5 Conclusions -- References -- Strategies of Sustainability in the Aviation Industry: The Single European Sky Project -- 1 Introduction -- 2 Methodology -- 3 State-of-the-Art -- 3.1 Competitiveness and Sustainability in Air Transport -- 3.2 Environmental Sustainability -- 3.3 The Pre-free Route Airspace Operational Context -- 4 Discussion - A New Approach to Airspace Design -- 4.1 The EU Legal Framework: The Pilot Common Project -- 4.2 The Free Route Airspace -- 4.3 Free Route Airspace Advantages -- 4.4 Free Route Disadvantages and Possible Implementation -- 5 Conclusions -- References -- Verification of Vibration Diagnostic ; Technique for Flow Path of Turbomachines -- 1 Introduction -- 2 Model of Aerodynamic Vibration -- 3 Validation of Model and Techniques -- 3.1 Test Rig of Compressor Stage -- 3.2 Vibration Simulation -- 3.3 Experimental Validation -- 4 Diagnostic Technique Verification -- 5 Discussions and Conclusions -- References -- Supply Chain Management -- The Readiness of Port Logistics Services in the Caspian Sea Within the Eurasian Transport Corridor - Case Study of the Port of Aktau -- 1 Introduction -- 2 Development of Logistics Services in the Ports of the Caspian Sea -- 3 Methodology -- 4 Findings and Observations -- 5 Conclusions -- References -- Transformation of Supply Chains in the Context of Industry 4.0 -- 1 Industry 4.0 and Supply Chain Interfaces -- 1.1 Supply Chain Management -- 1.2 Industry 4.0 Technologies -- 2 Research Methodology -- 3 Results -- 4 Conclusions -- References.; Application of New Technologies in the Supply Chains of the Lithuanian Industrial Sector.
• Sommario/riassunto: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2023), which took place as a hybrid event on October 19 – 21, 2023, in/from Riga, Latvia. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the digitalization of transport systems, as well as smart, artificial intelligence, and digital twins applications.

Mastering OpenCV with practical computer vision projects / / Daniel Lelis Baggio ... [et al.]

• Record Nr.: UNINA9910961085603321
• Autore: Lelis Baggio Daniel
• Pubbl/distr/stampa: Birmingham, UK : , : Packt Pub., , 2012
• ISBN: 9781621989066; 1621989062; 9781299148642; 1299148646; 9781849517836; 1849517835
• Edizione: [First edition]
• Descrizione fisica: 1 online resource (340 pages)
• Disciplina: 006.3; 006.37
• Soggetti: C++ (Computer program language); Computer vision
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Cartoonifier and Skin Changer for Android; Accessing the webcam; Main camera processing loop for a desktop app; Generating a black-and-white sketch; Generating a color painting and a cartoon; Generating an ""evil"" mode using edge filters; Generating an ""alien"" mode using skin detection; Skin-detection algorithm; Showing the user where to put their face; Implementation of the skin-color changer; Porting from desktop to Android; Setting up an Android project that uses OpenCVColor formats used for image processing on Android; Input color format from the camera; Output color format for display; Adding the cartoonifier code to the Android NDK app; Reviewing the Android app; Cartoonifying the image when the user taps the screen; Saving the image to a file and to the Android picture gallery; Showing an Android notification message about a saved image; Changing cartoon modes through the Android ; menu bar; Reducing the random pepper noise from the sketch image; Showing the FPS of the app; Using a different camera resolution; Customizing the appSummary; Chapter 2:Marker-based Augmented Reality on iPhone or iPad; Creating an iOS project that uses OpenCV; Adding OpenCV framework; Including OpenCV headers; Application architecture; Marker detection; Marker identification; Grayscale conversion; Image binarization; Contours detection; Candidates search; Marker code recognition; Reading marker code; Marker location refinement; Placing a marker in 3D; Camera calibration; Marker pose estimation; Rendering the 3D virtual object; Creating the OpenGL rendering layer; Rendering an AR scene; Summary; References; Chapter 3:Marker-less Augmented RealityMarker-based versus marker-less AR; Using feature descriptors to find an arbitrary image on video; Feature extraction; Definition of a pattern object; Matching of feature points; PatternDetector.cpp; Outlier removal; Cross-match filter; Ratio test; Homography estimation; Homography refinement; Putting it all together; Pattern pose estimation; PatternDetector.cpp; Obtaining the camera-intrinsic matrix; Pattern.cpp; Application infrastructure; ARPipeline.hpp; ARPipeline.cpp; Enabling support for 3D visualization in OpenCV; Creating OpenGL windows using OpenCVVideo capture using OpenCV; Rendering augmented reality; ARDrawingContext.hpp; ARDrawingContext.cpp; Demonstration; main.cpp; Summary; References; Chapter 4:Exploring Structure from Motion Using OpenCV; Structure from Motion concepts; Estimating the camera motion from a pair of images; Point matching using rich feature descriptors; Point matching using optical flow; Finding camera matrices; Reconstructing the scene; Reconstruction from many views; Refinement of the reconstruction; Visualizing 3D point clouds with PCL; Using the example code; Summary; References
• Sommario/riassunto: Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.