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Evolution in Signal Processing and Telecommunication Networks : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023)
| Evolution in Signal Processing and Telecommunication Networks : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (472 pages) |
| Altri autori (Persone) |
ChowdaryP. Satish Rama
Flores-FuentesWendy UroojShabana Sankar DharRudra |
| Collana | Lecture Notes in Electrical Engineering Series |
| ISBN | 981-9706-44-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Committee -- Preface -- Contents -- About the Editors -- Design of Miniaturized and Dual-Band Slot Antenna for Wireless Communications -- 1 Introduction -- 2 Design of Miniaturized and Dual-Band Slot Antenna -- 3 Effect of Each Geometrical Parameters -- 4 Conclusions -- References -- Elliptical Split Ring Structure Reconfigurable Antenna for Advance Communication -- 1 Introduction -- 2 Proposed Design -- 3 Results and Discussions -- 4 Conclusion -- References -- Enhanced Two-Way Cooperative DCSK System via Grouping Subcarrier-Permutation Index Modulation -- 1 Introduction -- 2 The GSPIM-DCSK System Architecture -- 3 New Cooperative System Based on GSPIM-DCSK -- 4 The System Performance and Simulation Results -- 4.1 The BER Performance for the GSPIM-DCSK System Model -- 4.2 The BER Performance for the Cooperative System Based on the GSPIM-DCSK -- 5 Conclusions -- References -- Modelling of Fractional-Order System in Complex Domain Using Direct Approach: A Comparative Study -- 1 Introduction -- 2 Approximation of Fractional-Order (FO) Operator -- 3 Simulations and Results -- 4 Conclusions -- References -- Securing Cellular-V2X at Physical Layer: A Two-Stage User Authentication for Massive MIMO Systems -- 1 Introduction -- 1.1 Background -- 1.2 Related Works -- 1.3 Motivation and Novelties -- 1.4 Contributions -- 2 System Model -- 2.1 C-V2X Scenario -- 2.2 Massive MIMO Channel Model and Received Signal Model -- 2.3 Received Signal Model and Mobility Model -- 3 Analysis of Secrecy Metrics -- 4 Two-Stage User Authentication for Massive MIMO -- 5 Numerical Result and Discussions -- 6 Conclusions -- References -- ASER Analysis of a DF Relay-Assisted Transmission System Influenced by Fisher-Snedecor F Fading Channels Applying Non-coherent Modulation Schemes -- 1 Introduction -- 2 Methodology -- 2.1 Average Symbol Error -- 3 Algebraic Results.
4 Conclusion -- References -- Design of Compact Patch Antenna for TPMS Applications -- 1 Introduction -- 2 Design of Compact Microstrip Patch Antenna -- 3 Parametric Variations -- 3.1 The Effect of Variation on Turn of Circular Spiral -- 3.2 The Effect of Variation on Width of Compact Patch Antenna -- 4 Conclusions -- References -- Key Components of Optically Transparent Antennas and Their Specifications -- 1 Introduction -- 2 Transparent Substrates -- 3 Transparent Conductors -- 4 Conclusion -- References -- Performance Analysis of Diverse Mobility Speeds on MANET Routing Protocols -- 1 Introduction -- 2 Categories of Movement Models -- 3 Simulative Experiments and Result Analysis -- 3.1 Packet Delivery Ratio (PDR) -- 3.2 Average End-to-End Delay (Davg) -- 3.3 Throughput -- 3.4 Packet Overhead -- 3.5 Total Dropped Packets -- 4 Conclusions -- References -- Qualitative Analysis of WOC Channel-Based Optical Communication System -- 1 Introduction -- 2 Simulative Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Analyzing the Role of DCF in Symmetrical Compensated Network Using Dispersion Compensation Technique -- 1 Introduction -- 2 Simulative Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Improved Design of Microstrip Low Pass Filter by Using Numerous Metamaterial Patterns -- 1 Introduction -- 2 Filter Design and Analysis -- 2.1 Design -- 2.2 Calculated Values -- 2.3 Comparative Analysis of Different Patterns -- 3 Simulated Results -- 4 Conclusion -- References -- Design of a Low-Power Varactor-Based DCO Using NMOS Switching Network as a Digital Control Technique -- 1 Introduction -- 2 Circuit Design -- 3 Results and Discussions -- 4 Conclusions -- References -- Comparison of Four Approaches of Image Compression for Wireless Communication -- 1 Introduction. 2 Requirement of Image Compression for Wireless Communication -- 2.1 Performance Parameters -- 3 Image Compression Approaches -- 3.1 JPEG -- 3.2 Autoencoder -- 3.3 Visual Geometry Group (VGG) -- 3.4 Vision Transformer (ViT) -- 4 Methodology and Analysis Summary -- 4.1 Proposed Work Flow Diagram -- 4.2 Datasets Used -- 5 Results and Discussions -- 5.1 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for Standard Images -- 5.2 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for Standard Images with Introduced Gaussian Noise -- 5.3 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for CIFAR10 Dataset -- 6 Conclusion and Future Scope -- References -- Numerical Study of Laguerre-Gaussian Beams and Analysis of OAM Based OOK Communication System -- 1 Introduction -- 2 Basic Concepts and Principles of OAM -- 2.1 Orbital Angular Momentum (OAM) Beams -- 2.2 Laguerre-Gaussian Beams -- 2.3 The System Model -- 3 Simulation Results -- 4 Conclusion -- References -- Specific Absorption Rate Evaluation in Layered Human Head Models Using Transparent Conducting Film -- 1 Introduction -- 2 SAR Evaluation of Head Models -- 2.1 Polarization in Seven-Layered Planar Head Models (HMs) Without and with Transparent Conducting Composite Films as Shields -- 2.2 Mobile Phone Position with Polarization in Head Models -- 2.3 EMI-SE Formulation with Oblique Angle of Incidence and Mobile Phone Position -- 3 Results and Discussion -- 3.1 No Shield Condition-SAR Absorption with No Mobile Phone Tilt -- 3.2 Transparent Shield Placement-SAR Absorption with Mobile Phone Tilt -- 4 Conclusion -- References -- A Novel Four-Channel Optical De-multiplexer Using Photonic Crystal Ring Resonator -- 1 Introduction -- 2 Structural Design -- 2.1 PWE Analysis -- 2.2 FDTD Analysis -- 3 Result Analysis. 4 Conclusion -- References -- Design of L-Shaped Microstrip Patch Antenna -- 1 Introduction -- 2 Antenna Design -- 3 Results and Discussion -- 4 Conclusions -- References -- Wideband High-Gain Franklin Antenna Array for 5G Millimeter-Wave Applications -- 1 Introduction -- 2 Antenna Design -- 3 Results and Discussion -- 4 Conclusion -- References -- Change Detection Mechanism Over Multi-spectral Images Using Machine-Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Input Data Collection -- 3.2 Calculating the Difference Image -- 4 Dimensionality Reduction and Feature Extraction -- 5 Result Analysis -- 6 Conclusion -- References -- A Comprehensive Machine-Learning-Based Approach for Aspect-Based Sentiment Analysis Over Food Consumables -- 1 Introduction -- 2 Literature Review -- 3 Proposed Architecture and Methodology -- 3.1 Proposed Architecture -- 3.2 Proposed Methodology of the Work -- 4 Description of Datasets, Analysis of Results -- 4.1 Dataset -- 4.2 Analysis of Results -- 5 Conclusion and Future Scope -- References -- A Deep Learning-Based Face Recognition Model for Comprehensive Student Logging Mechanism Using Tkinter -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Architecture Diagram -- 3.2 Design Methodology -- 4 Requirements, Dataset, and Tools -- 4.1 Visual Studio Code -- 4.2 Dataset -- 4.3 Python -- 5 Result Analysis -- 5.1 Tkinter Application -- 5.2 Upload File -- 5.3 CSV File, Check -- 5.4 Count -- 6 Conclusion -- References -- Attention Deficit Hyperactivity Disorder Using Machine Learning -- 1 Introduction -- 2 Literature Study -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Stock Market Price Prediction Using Sentiment Analysis -- 1 Introduction -- 2 Literature Work. 3 Existing Methods -- 4 Proposed Method -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Hybrid Stacking Algorithm to Detect Fraudulent Transactions in Credit Card -- 1 Introduction -- 1.1 Linear Regression -- 1.2 Types of Boosting Algorithms -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Base Classifier -- 3.2 Meta Classifier -- 3.3 Stacking Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Ovarian Cancer Segmentation and Classification Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Proposed Methodology Overview -- 4.1 Steps Involved in the Proposed Model -- 5 Results and Discussion -- 6 Conclusion -- References -- Smart Video Analysis of Hazard Situation Using CNN Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Dataset Description -- 4 Proposed Architecture and Algorithm -- 4.1 Classification -- 4.2 Residual Network -- 4.3 Classification Model -- 5 Conclusion -- References -- Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults -- 1 Introduction -- 2 Designing DPID Through Data Security -- 3 Projected System Plan -- 4 DDoS -- 5 Categorisation According to the Place of Deployment -- 6 Implementation -- 7 Results -- 8 Conclusions -- References -- Assessment on An Improved Leach Routing Protocol Using Wireless Sensor Network Energy Efficiency -- 1 Introduction -- 2 Motivation -- 3 Objectives -- 4 Related Work -- 5 Problem Statement -- 6 Implementations -- 6.1 Improved Energy-Based Efficient-LEACH Routing Protocol for WSN -- 6.2 Phases of Proposed IEE-LEACH Protocol -- 6.3 The Proposed IEE-LEACH Protocol's Advantages -- 7 Result and Analysis -- 7.1 Simulation Parameters -- 7.2 Results for Dead Nodes in the Sensor Network -- 7.3 Results for Alive Nodes in the Sensor Network. 7.4 Results for Energy Consumed in Each Sensor Node. |
| Record Nr. | UNINA-9910851985003321 |
Bhateja Vikrant
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Vision and Navigation / / edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli
| Machine Vision and Navigation / / edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXXV, 851 p. 483 illus., 362 illus. in color.) |
| Disciplina |
621.382
006.37 |
| Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Computational intelligence Control engineering Robotics Mechatronics Health informatics Communications Engineering, Networks Signal, Image and Speech Processing Computational Intelligence Control, Robotics, Mechatronics Health Informatics |
| ISBN | 3-030-22587-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Image and Signal Sensors -- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs -- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots -- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision -- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision -- Part II. Detection, Tracking and Stereoscopic Vision Systems -- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations -- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications -- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction -- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation -- Chapter 10. Lie Algebra Method for Pose Optimization Computation -- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 13. Data Exchange and Task of Navigation for Robotic Group -- Chapter 14. Data Exchange and Task of Navigation for Robotic Group -- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications.-Aerial Imagery Processing -- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure -- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling -- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths -- Part V. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired -- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications -- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data -- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation -- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment. |
| Record Nr. | UNINA-9910366585903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Scanning Technologies for Autonomous Systems
| Scanning Technologies for Autonomous Systems |
| Autore | Rodríguez-Quiñonez Julio C |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (455 pages) |
| Altri autori (Persone) |
Flores-FuentesWendy
Castro-ToscanoMoises J SergiyenkoOleg |
| ISBN | 3-031-59531-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Introduction -- An Overview of Scanning Technologies for Autonomous Systems -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Abbreviations -- Part I Scanning Technologies for Navigation and Area Mapping -- Methodology of Assigning Terrain Object Images to the Class of Landmarks for Autonomous Mobile Robots -- 1 Introduction -- 2 Background -- 3 Detection of Objects as Possible Landmarks -- 4 Landmarks Classification Criteria for Autonomous Mobile Robots -- 4.1 Formation of the Feature Vector for a Landmark Recognition -- 4.2 Methods of Calculating the Hausdorff Distance -- 4.3 Demonstration of Hausdorff Distance (HD) in the Simplest Situations -- 5 Classification of Landmarks Against the Background of Real Terrain Images -- 5.1 Results of Modeling the Hausdorff Distance Between Images of Reference and Real Landmarks Against the Background of Terrain Images -- 5.2 The Method of Determining the Threshold Value of the Hausdorff Distance -- 5.3 Analysis of the Object Classification Quality -- 5.4 Possible Future Research Directions -- 6 Conclusions -- References -- Scanning Systems for Environment Perception in Autonomous Navigation -- 1 Introduction -- 2 Fundamentals of Scanning Systems -- 2.1 Multi-Camera and Stereo Vision Systems -- 2.1.1 Stereo Vision Systems -- 2.2 Laser Scanning Systems -- 2.2.1 Dynamic Laser Triangulation -- 2.2.2 Laser Line Triangulation -- 2.2.3 Light Detection and Ranging -- 2.3 Millimeter Wave Scanning Systems -- 2.4 Ultrasonic Scanning Systems -- 2.5 Overview of Vision Technologies -- 3 Applications of Scanning Systems in Autonomous Navigation -- 3.1 Indoor Navigation -- 3.1.1 Multi-Camera Systems -- 3.1.2 Stereo Vision Systems -- 3.1.3 Laser Line Triangulation -- 3.1.4 Millimeter Wave Scanning Systems -- 3.1.5 Ultrasonic Scanning Systems.
3.2 Outdoor Navigation -- 3.2.1 Multi-Camera Systems -- 3.2.2 Stereo Vision Systems -- 3.2.3 Dynamic Laser Triangulation -- 3.2.4 Laser Line Triangulation -- 3.2.5 Light Detection and Ranging -- 3.2.6 Millimeter Wave Scanning Systems -- 3.2.7 Ultrasonic Scanning Systems -- 3.3 Overview of Recent Advancements in Autonomous Navigation Technologies -- 4 Conclusions -- References -- Autonomous Visual 3D Mapping of the Ocean Floor by Underwater Robots Equipped with a Single Photo Camera -- 1 Introduction -- 2 State of the Art and Challenges -- 3 System Design -- 3.1 AUV Platform: Girona-500 -- 3.2 CoraMo Camera and Lighting -- 3.3 Dome Port and Camera Calibration -- 4 Mission Planning and AUV Operations -- 4.1 Mission Parameters -- 4.2 Calibration Maneuvers for Light and Water -- 4.3 Deployment and Mission Monitoring -- 4.4 Raw Data Management and FAIR Data -- 5 Micronavigation and Automated Seafloor Mapping -- 5.1 Color Correction and Correspondences -- 5.2 Sparse 3D Reconstruction -- 5.3 Dense 3D Reconstruction -- 6 Results -- 7 Discussion -- References -- Flexible Multicamera Virtual Focal Plane: A Light-Field Dynamic Homography Approach -- 1 Introduction -- 2 Light-Field Dynamic Homography (LDH) -- 3 Experiments -- 3.1 Simulation Environment -- 4 Conclusions -- References -- Part II Scanning Technologies for Medical and Industrial Applications -- US Scanning Technologies and AI -- 1 Introduction -- 1.1 Ultrasound -- 1.2 Medical Use of Ultrasound -- 1.3 Ultrasound System -- 1.4 Scanning Modes -- 1.5 AI in Medical Ultrasound -- 2 Conclusion -- References -- Optical 3D Scanning System in Medical Applications -- 1 Introduction -- 2 Optical Active Scanners -- 2.1 Laser Scanner -- 2.1.1 Principle of Triangulation -- 2.1.2 Time of Flight -- 2.1.3 Structured Light Techniques -- 2.2 Optical Active Scanner Applied in the Human Body. 2.2.1 Laser Scanning Using Time of Flight -- 2.2.2 Laser Scanning Using the Principle of Triangulation -- 2.2.3 Scanner Using Structured Light -- 3 Passive Optical Scanner Based on Cameras -- 3.1 Monovision -- 3.2 Stereovision -- 3.3 Multicamera -- 3.3.1 Linear Method -- 3.3.2 Midpoint Method -- 3.4 Passive Optical Scanner Applied to the Human Body -- 3.4.1 Scanner Using Monovision -- 3.4.2 Scanner Using Stereovision -- 3.4.3 Scanner Using Multicamera -- 4 Conclusion -- References -- Depth Measurement with a Rotating Camera System for Robotic Applications -- 1 Introduction -- 2 Depth from Rotational Stereo -- 3 Incorporating Multiple Rotation Angles for Depth Measurement -- 3.1 Use Multiple Baseline to Eliminate Error -- 3.2 Error Elimination with External Constraints -- 3.3 Disparity Enhancement and Depth Derivation -- 4 Implementation and Experiments -- 4.1 Simulation System -- 4.2 Static Image Acquisition -- 4.3 Semi-Dynamic Image Acquisition -- 4.4 Dynamic Image Acquisition -- 5 Conclusion -- References -- Part III Innovative Data Processing Solutions for Scanning Technologies -- Investigating the Effects of Subsampling Processes to Point Cloud Data on the Generation of 3D Models of Archaeological Monuments -- 1 Introduction -- 2 A Mini Review on the Point Cloud Subsampling -- 3 Methodology -- 3.1 Phase 1-Data Collection Using Terrestrial Laser Scanning Sensor -- 3.2 Phase 2-Point Cloud Data Pre-processing -- 3.3 Phase 3-Point Cloud Cross-Section Process -- 3.4 Phase 4-Point Cloud Subsampling Process -- 3.5 Phase 5-Point Cloud Data Post-Processing -- 3.6 Phase 6-Surface Deviation Process -- 3.6.1 Surface Deviation Results on the Historical Charcoal Chamber Test Object -- 3.6.2 Surface Deviation Results on the Historical Bendang Dalam Temple Test Object -- 3.6.3 Surface Deviation Results on the Old Johor City Museum Test Object. 3.7 Phase 7-Analysis Process -- 3.7.1 Analysis Process on Surface Deviation Results on the Historical Charcoal Chamber Test Object -- 3.7.2 Analysis Process on Surface Deviation Results on the Historical Bendang Dalam Temple Test Object -- 3.7.3 Analysis Process on Surface Deviation Results on the Old Johor City Museum Test Object -- 4 Overall Findings -- 5 Conclusion -- References -- Approach to Background Suppression in Scanning Machine Vision Systems -- 1 Introduction -- 2 Background Suppression Technique in the Optical Domain -- 3 False Alarm Reduction Algorithm Based on Cyclic Search -- 4 Optimization of the Cyclic Search Algorithm -- 5 Experimental Results -- 6 Conclusion -- References -- Point Cloud Optimization Employing Multisensory Vision -- 1 Introduction -- 1.1 Machine Vision -- 2 Laser Scanning Systems for Three-Dimensional Information -- 2.1 The Technical Vision System -- 2.2 Dynamic Triangulation Method -- 3 Electromechanical Analysis for Precision Improvement -- 4 Image Processing for Machine Vision -- 4.1 Spatial Information Using Cameras as Sensors -- 4.2 Segmentation for Matching -- 4.3 Deep Learning for Segmentation and Matching -- 5 Multi-View Information Fusion -- 6 Outliers -- 6.1 Identification and Handling of Outlier Data -- 6.1.1 Interquartile Method -- 6.1.2 Modified Tau-Thompson Method -- 6.1.3 Chi2 Distribution Quantiles -- 6.1.4 Cook's Distance -- 6.2 Outlier Classification -- 6.3 Outlier Handling -- 7 Conclusions -- References -- Part IV Sensing Applications Across Systems: Technological Advancements -- Person-Centric Sensing in Indoor Environments -- 1 Introduction -- 2 Optical Modalities -- 2.1 RGB Cameras -- 2.2 Depth Cameras -- 2.3 Thermal Cameras -- 2.4 Advantages and Challenges of a Multi-Modal RGBDT Approach -- 2.5 Visual Privacy -- 3 Blind Modalities -- 3.1 Radar -- 3.2 WiFi -- 3.3 Surface Acoustic. 3.4 Environmental Sensors -- 4 Conclusions -- 4.1 Multi-Modal Fusion -- 4.2 Data Representations -- 4.3 Data Processing -- References -- Machine Vision for Solid Waste Detection -- 1 Introduction -- 2 Tasks and Challenges for Machine Vision in the Context of Contemporary Industrial Waste Sorting -- 3 Waste Detection Hardware -- 3.1 From Sensors to Matrices -- 3.1.1 Basic Photoelectric Sensors -- 3.1.2 Complex Photodetectors -- 3.2 Multispectral and Hyperspectral Cameras -- 3.2.1 RGB (Red, Green, Blue) Cameras -- 3.2.2 RGB IR Cameras -- 3.2.3 Multispectral and Hyperspectral Cameras -- 3.3 Video Camera Setup and Synchronization -- 3.4 Waste Detection Systems -- 4 Image Processing -- 4.1 Hyperspectral and Visible Image Fusion and Processing -- 4.1.1 Late Fusion Models -- 4.1.2 Early Fusion Models -- 4.1.3 Review of Models on the Timeline -- 4.2 Computer Vision Methods -- 4.2.1 Classification -- 4.2.2 Detection -- 4.2.3 Segmentation -- 4.3 Computer Vision Datasets -- 4.3.1 TrashNet -- 4.3.2 Wade-AI -- 4.3.3 GINI -- 4.3.4 Waste on the Street -- 4.3.5 WaDaBa -- 4.3.6 Open Litter Map -- 4.3.7 Dataset for Multilayer Hybrid Deep Learning Method -- 4.3.8 Dataset for Intelligent Urban Management System -- 4.3.9 Dataset for Automatic Garbage Detection System -- 4.3.10 Cigarette Butt Dataset -- 4.3.11 Dataset for Municipal Solid Waste Segregation -- 4.3.12 Waste Pictures Dataset -- 4.3.13 Trash-ICRA19 -- 4.3.14 DeepSeaWaste -- 4.3.15 Dataset for Garbage Detection in Video Streams -- 4.3.16 Drinking Waste -- 4.3.17 TACO -- 4.3.18 MJU-Waste -- 4.3.19 TrashCan -- 4.3.20 Aquatrash -- 4.3.21 Waste Images from Sushi Restaurant -- 4.3.22 Dataset by Mostafa Mohamed -- 4.3.23 Nonbiodegradable and Biodegradable Material Dataset -- 4.3.24 UAVVaste -- 4.3.25 FloW -- 4.3.26 Domestic Trash -- 4.3.27 Waste Segregation Dataset -- 4.3.28 Dataset for Garbage Detection. 4.3.29 Garbage Bag Synthetic Dataset. |
| Record Nr. | UNINA-9910874690303321 |
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Rodríguez-Quiñonez Julio C
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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