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New Approaches for Multidimensional Signal Processing : Proceedings of International Workshop, NAMSP 2023 / / edited by Roumen Kountchev, Rumen Mironov, Ivo Draganov, Roumiana Kountcheva, Kazumi Nakamatsu
| New Approaches for Multidimensional Signal Processing : Proceedings of International Workshop, NAMSP 2023 / / edited by Roumen Kountchev, Rumen Mironov, Ivo Draganov, Roumiana Kountcheva, Kazumi Nakamatsu |
| Autore | Kountchev Roumen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 621.3822 |
| Altri autori (Persone) |
MironovRumen
DraganovIvo KountchevaRoumiana NakamatsuKazumi |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Signal processing
Computational intelligence Artificial intelligence Signal, Speech and Image Processing Computational Intelligence Artificial Intelligence |
| ISBN | 9789819701094 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Representation and Analysis of Visual Information, Based on the IDP Decomposition -- Some Trends in Application of Geometric Approaches in Multimodal Medical Image Fusion -- Weighted Tensor Least Angle Regression for Solving Sparse Weighted Multilinear Least Squares Problems -- Research on Behavior Control Method in 3D Virtual Animation Design based on the Purpose of Improving the Effect of Overseas Dissemination -- The Positive Exertion of "Fuzzy Control" in Art Appreciation Class -- Discussion on the Establishment and Application of Intelligent Design Platform for Concrete Proportioning -- Locally Adaptive Processing of Color Tensor Images Represented as Vector Fields -- Energy Efficient VgSOT-MTJ based 1 bit subtractor -- Hybrid Prediction Model for Mechanical Properties of Low Alloy Steel based on SVR-MLP -- A Human-inspired Semantic SLAM Based on Parking-Slot Number for Autonomous Valet Parking -- Review of the security risks and practical concerns with current and future (6G) communications technology -- Effect of Rehabilitation Robot Training on Cognitive Function in Stroke Patients: A Systematic Review and Meta-analysis -- The Application Value of Virtual Reality Navigation Combined with Rapid on-site Evaluation in CT-guided Lung Biopsy -- Gray and White Matters Segmentation in Brain CT Images using Multi-Task Learning from Paired CT and MR Images -- Wearable Long-term Graph Learning for Non-invasive Mental Health Evaluation -- Music Personalized Recommendation System Based on Deep Learning -- Handwritten Mathematic Expression Conversion to Docx -- Application of Image Processing in Air-ground Combined Fire Fighting System -- Design and Realization of Mobile Terminal Side Time Synchronization Based on FPGA -- Exploration of Drone Trajectory Planning in Unknown Environments using Reinforcement Learning -- A Method for Traffic Flow Prediction based on Spatiotemporal Graph Network in Internet of Vehicles -- Research on Behavior Control Method in 3D Virtual Animation Design -- Research on Visual Communication Characteristics and Visual Narrative Change of VR News in We-Media Era -- Power Internet of Things Sharing Terminal Based on Power Carrier Communication Technology -- A Image-content-based Adaptive Tile Partitioning Algorithm. |
| Record Nr. | UNINA-9910869169003321 |
Kountchev Roumen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New approaches for multidimensional signal processing : proceedings of international workshop, NAMSP 2021 / / Roumen Kountchev, Rumen Mironov, and Kazumi Nakamatsu
| New approaches for multidimensional signal processing : proceedings of international workshop, NAMSP 2021 / / Roumen Kountchev, Rumen Mironov, and Kazumi Nakamatsu |
| Autore | Kountchev Roumen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (330 pages) |
| Disciplina | 621.3822 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Signal processing
Signal processing - Digital techniques |
| ISBN |
981-16-8558-4
981-16-8557-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743338703321 |
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Kountchev Roumen
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New approaches for multidimensional signal processing : proceedings of International Workshop, NAMSP 2022 / / edited by Roumen Kountchev, Rumen Mironov, Kazumi Nakamatsu
| New approaches for multidimensional signal processing : proceedings of International Workshop, NAMSP 2022 / / edited by Roumen Kountchev, Rumen Mironov, Kazumi Nakamatsu |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 799 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico | Signal processing |
| ISBN | 981-19-7842-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organizing Committee -- Preface -- Contents -- About the Editors -- Multidimensional Signal Processing -- Multidimensional Signal Processing and Applications-New Approaches -- 1 Introduction -- 2 Main Topics Presented at NAMSP'22 -- 3 Conclusions -- References -- Video Tracing of Moving Objects by Fusing Three-Term Decompositions -- 1 Introduction -- 2 Algorithms Description -- 2.1 3-Way Decomposition (3WD) -- 2.2 Motion-Assisted Matrix Restoration (MAMR) -- 2.3 Robust Motion-Assisted Matrix Restoration (RMAMR) -- 2.4 Alternating Direction Method of Multipliers (ADMM) -- 2.5 Fusing Three-Term Decompositions -- 3 Experimental Results -- 4 Discussion -- 5 Conclusion -- References -- Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms -- 1 Introduction -- 2 Methodology -- 2.1 Mel Spectrogram -- 2.2 Convolutional Neural Network -- 2.3 Long Short-Term Memory -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Dataset Description -- 4 Results -- 5 Conclusion -- References -- Tensor Spectral Pyramid for Color Video Sequences Representation, Based on 3D FO-AHKLT -- 1 Introduction -- 2 Structure of the Two-Layer Tensor Spectrum Pyramid for RGB Color Video Representation -- 3 Calculation of the Two-Layer Tensor Spectrum Pyramid -- 4 Lateral Tensor Vectorization in Direction "TIME" -- 5 Evaluation of 2LTSP Computational Complexity -- 6 Conclusions and Future Work -- References -- Electromyography Signal Acquisition, Processing, Optimization and Its Applications -- 1 Introduction -- 2 Electromyogram Signal Initiation -- 3 EMG Signal Acquisition -- 4 Factors Affecting EMG Signals -- 4.1 Essential Requirements for Acquisition of EMG Signals -- 4.2 EMG Signal Detection -- 4.3 EMG Signal Decomposition -- 4.4 EMG Signal Processing -- 4.5 Feature Extraction and Classification -- 4.6 Optimization of the EMG Signals.
5 Applications of EMG -- 6 Conclusions and Future Scope -- References -- Research on the Radar Signal Classification Method Based on the Deep Faith Network Model -- 1 Introduction -- 2 Method -- 2.1 Deep Belief Network Model -- 2.2 DBN Model Based on Support Vector Machine -- 3 Result Analysis -- 4 Conclusion -- References -- Measuring Machine Intelligence Using Black-Box-Based Universal Intelligence Metrics -- 1 Introduction -- 2 State-of-the-Art Machine Intelligence Metrics -- 3 Guide for Choosing Between Black-Box-Based Metrics for Measuring the Machine Intelligence -- 3.1 The Specificity of the Black-Box Methods for Intelligence Measuring -- 3.2 The Universal MetrIntPair Intelligence Metric -- 3.3 The Universal MetrIntPairII Intelligence Metric -- 3.4 The ExtrIntDetect Method for Detecting Systems with Outlier Intelligence -- 4 Machine Intelligence Quotient as Indicator of Central Intelligence Tendency -- 4.1 Calculus of the Central Intelligence Tendency of an IABS -- 4.2 Experimental establishment of the central performance tendency -- 5 Conclusions -- References -- Applications of Multidimensional Signal Processing -- COVID Detection Using ECG Image Reports: A Survey -- 1 Introduction -- 2 Related Works -- 3 Main Phases for COVID Detection Using ECG Reports -- 3.1 Data Acquisition -- 3.2 Data Augmentation -- 3.3 Pre-processing -- 3.4 Feature Extraction -- 3.5 Classification -- 4 Discussion and Limitations -- 5 Conclusion and Future Works -- References -- Disease Detection Techniques in Plants: Transition from Manual to Automation -- 1 Introduction -- 2 Types of Detection Techniques -- 2.1 Naked Eye Observation -- 2.2 Image Capture Method -- 2.3 Paper Grid Method -- 2.4 Invasive Methods -- 2.5 Automated Detection Techniques -- 3 Deep Learning Techniques -- 3.1 Artificial Neural Networks (ANN) -- 3.2 Convolutional Neural Network (CNN). 4 Summary and Future Directions -- References -- On Applying Gradient Based Thresholding on the Canny Edge Detection Results to Improve the Effectiveness of Fuzzy Hough Transform for Colonoscopy Polyp Detection Purposes -- 1 Introduction -- 2 Background Considerations -- 2.1 Classical and Fuzzy Hough Transform -- 2.2 Gradient Filtering, Gradient Magnitude -- 2.3 Canny Edge Detection -- 3 Applied Methods and Evaluation Metrics -- 4 Results -- 5 Conclusion -- References -- Development of IoT Indoor Monitoring System for Independent Elderly -- 1 Introduction -- 2 Related Works -- 3 IoT Device Architecture -- 3.1 Sensing Level -- 3.2 Network Level -- 3.3 Processing Level -- 3.4 Interface Level -- 4 Proposed Monitoring System Architecture -- 5 Conclusion -- References -- Improving the Process of Evaluating User Stories Using the Paraconsistent Annotated Evidential Logic Eτ -- 1 Introduction -- 2 Reasons -- 2.1 User Stories -- 2.2 Invest -- 2.3 Paraconsistent Annotated Evidential Logic Eτ -- 3 Case Study -- 4 Results -- 5 Conclusion -- References -- Neural Network Algorithm Applied in Electrical Engineering Automation -- 1 Introduction -- 2 Method -- 2.1 Neural Network Algorithm -- 2.2 Electrical Engineering Automation Based on Neural Network Algorithm -- 2.3 Fault Diagnosis of Automatic Electrical Equipment Based on Neural Network -- 3 Result Analysis -- 4 Conclusion -- References -- Truss Structure Optimization Design Based on FE-PSO-SQP Algorithm -- 1 Introduction -- 2 The Mathematical Model for Truss Optimization Problem -- 2.1 Design Parameters -- 2.2 Goal Function -- 2.3 Constraints -- 2.4 The Setting of Constraint -- 3 Particle Swarm Optimization -- 4 Sequential Quadratic Programming -- 5 FE-PSO-SQP Algorithm -- 6 Example Analysis -- 7 Conclusion -- References -- Practice System of Ant Colony Optimization Algorithm in Business Administration. 1 Introduction -- 2 Method -- 2.1 Industrial and Commercial Inspection Scheduling Model -- 2.2 Improved Ant Colony Optimization Algorithm -- 2.3 Fusion Implementation of Particle Swarm Optimization and Ant Colony Algorithm -- 3 Result Analysis -- 3.1 Experimental Results of the Improved Algorithm -- 3.2 Experimental Results of Hybrid Algorithm -- 4 Conclusion -- References -- Applications of Blockchain and Network Technologies -- Literature Review of Smart Contracts Using Blockchain Technology -- 1 Introduction -- 1.1 Version of Blockchain -- 2 Problem Statement -- 2.1 Need -- 2.2 Challenges -- 2.3 Future Scope -- 3 Brief Survey of Earlier Work -- 4 Tabular Representation -- 5 Conclusion -- References -- A Comprehensive Study of 5th Generation Scheduling Algorithms -- 1 Core of 5th Generation -- 1.1 Requirements for 5G are as Follows -- 1.2 Services of 5G -- 2 Well Defined Architecture of 5th Generation -- 2.1 Fifth Generation Works in Two Modes -- 3 Scheduling Mechanisms and Existing Scheduling Algorithms/techniques -- 3.1 There are Two Types of Scheduling -- 4 Overview to Related Work -- 4.1 Downlink Scheduling and Resource Allocation for 5G MIMO-Multicarrier: OFDM Versus FBMC/OQAM -- 4.2 A Novel Scheduling Technique for Improving Cell Edge Performance in 4G/5g Systems -- 4.3 Inter-cellular Schedular for 5G Wireless Networks -- 4.4 A Flexible Scheduling Algorithm for the 5th Generation Networks -- 4.5 Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems -- 4.6 Energy Efficient Scheduling of Small Cells in 5G: A Meta Heuristic Approach -- 4.7 Green Massive MIMO Scheduling for 5G Traffic with Fairness -- 4.8 Survey of Scheduling Schemes in 5G Mobile Communication Systems -- 4.9 A Review on Techniques to Improve the Cell Edge Performance for Wireless Network -- 5 Conclusion -- References. A Comparative Analysis of Homogeneous and Heterogeneous Protocols to Maximize the Lifetime of Wireless Sensor Network for Precision Agriculture -- 1 Introduction -- 2 Clustered Routing Strategies in Wireless Sensor Network -- 2.1 LEACH Protocol -- 2.2 LEACH-C Protocol -- 2.3 TEEN Protocol -- 2.4 SEP Protocol -- 2.5 DEEC Protocol -- 2.6 EDEEC (Enhanced Distributed Energy Efficient Clustering) Protocol -- 3 Algorithm for the Simulated Protocols -- 4 Implementation and Results -- 5 Conclusion -- References -- The Integration Development and Upgrading Path of Industry 4.0 Architecture Industrial Engineering Network Driven by Big Data -- 1 Introduction -- 2 Method -- 3 Result Analysis -- 4 Conclusion -- References -- SAAS Application Prospect Analysis in Hrm and Methods to Upgrade the Contemporary System -- 1 Introduction -- 2 Contemporary Works of SAAS -- 3 Data Analysis -- 3.1 Data Source -- 3.2 Marco Analysis -- 3.3 Micro Analysis -- 3.4 Conclusion of Analyzing -- 4 Methods Improvements Which Based on the Previous Study -- 4.1 General Guidelines of Improved Modes -- 4.2 Renovation of Existed SAAS Systems or Conceptions -- 4.3 Conclusion of Renovations Above -- References -- All Digital Phase Locked Loop (ADPLL) and Its Blocks-A Comprehensive Knowledge -- 1 Introduction -- 1.1 When the Concept of PLL Come into Being -- 2 ADPLL Architecture -- 2.1 Phase Detector -- 2.2 Loop Filter -- 2.3 Digital Controlled Oscillator -- 3 Design Parameters of the ADPLL -- 4 Different ADPLLs Architecture and Their Comparison -- 5 Conclusion -- References -- On Realization of Smart Logistic Warehouse Management with Internet of Things -- 1 Introduction -- 2 A Glance at IOT and Smart Warehouse Management -- 2.1 Internet of Things -- 2.2 Features of Smart Warehouse Management -- 3 The Realization of Smart Warehouse Management with IOT. 3.1 Automated and Accurate Stock Counting. |
| Record Nr. | UNINA-9910633934603321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New approaches for multidimensional signal processing : proceedings of International Workshop, NAMSP 2020 ; Sofia, Bulgaria, 9-11 July, 2020 / / editors, Roumen Kountchev, Rumen Mironov, Shengqing Li
| New approaches for multidimensional signal processing : proceedings of International Workshop, NAMSP 2020 ; Sofia, Bulgaria, 9-11 July, 2020 / / editors, Roumen Kountchev, Rumen Mironov, Shengqing Li |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (271 pages) : illustrations |
| Disciplina | 621.3822 |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico | Signal processing - Digital techniques |
| ISBN | 981-334-676-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- International Program Committee -- Preface -- Contents -- About the Editors -- 1 Computational Intelligence for Brain Tumors Detection -- 1.1 Introduction -- 1.2 Computational Intelligence Paradigms -- 1.3 Computational Intelligence Applications in Intelligent Health Informatics -- 1.4 Deep Learning Paradigm in Health Informatics -- 1.5 Medical Imaging Techniques for Human Brain -- 1.5.1 Medical Aspects -- 1.5.2 Magnetic Resonance Imaging (MRI) -- 1.5.3 General Methodology of Brain Images Processing -- 1.5.4 CI Techniques for Segmentation and Classification Processes -- 1.6 Brain Tumor Diagnosis Using CI Techniques -- 1.6.1 1st Application: Developing CAD Systems for Brain Tumor Diagnosis -- 1.6.2 2nd Application: Classification Using Deep Learning for Brain Tumors -- 1.7 Recommendations and Conclusions -- 1.7.1 Recommendation -- 1.8 Conclusions -- References -- 2 Video-Based Monitoring and Analytics of Human Gait for Companion Robot -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Methodology -- 2.3.1 Pipeline Overview -- 2.3.2 Pose Estimation and Skeleton Extraction -- 2.3.3 Gait and Postural Feature Extraction -- 2.3.4 Time Series Analysis -- 2.4 Experiments and Results -- 2.4.1 Data Collection -- 2.4.2 Experiment Setting -- 2.4.3 Results for Gait Classification -- 2.4.4 Discussion -- 2.4.5 Graphical User Interface and Companion Robot -- 2.5 Conclusions and Future Work -- References -- 3 Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famous 3D Orthogonal Transforms -- 3.1 Introduction -- 3.2 Tensor Decomposition Through 3D Truncated Hierarchical SVD -- 3.2.1 Decomposition of Elementary Tensor of Size 2 × 2 × 2 Through 3D Truncated Hierarchical SVD -- 3.2.2 Decomposition of a Tensor of Size N × N × N Through 3D Truncated Hierarchical SVD.
3.2.3 Calculation of 3D-THSVD for Third-Order Tensor of Size N × N × N -- 3.3 Tensor Decomposition Based on the 3D Reduced Inverse Spectrum Pyramid -- 3.4 Comparison of the CC of the Famous Deterministic and Statistical Hierarchical 3D Decompositions -- 3.4.1 CC of the Deterministic Hierarchical 3D Decompositions: RISP, SDT, FFT and DWT -- 3.4.2 CC of the Statistical Hierarchical 3D Decompositions HSVD, THSVD, and H-Tucker -- 3.4.3 Comparison Evaluation of the CC for the Analyzed 3D Decompositions -- 3.5 Conclusions -- References -- 4 Tracking of Domestic Animals in Thermal Videos by Tensor Decompositions -- 4.1 Introduction -- 4.2 Evaluated Algorithms -- 4.2.1 Tucker-ALS -- 4.2.2 Tucker-ADAL -- 4.2.3 CP-ALS -- 4.2.4 HoRPCA-S -- 4.2.5 Score Fusion -- 4.3 Experimental Results -- 4.4 Discussion -- 4.5 Conclusion -- References -- 5 Partial Contour Matching Based on Affine Curvature Scale Space Descriptors -- 5.1 Introduction -- 5.2 Affine Curvature Scale Space Curve Matching Algorithm -- 5.2.1 Affine Curvature Scale Space Descriptor (ACSS) -- 5.2.2 Affine Curve Matching (ACM) Algorithm -- 5.3 Experiments -- 5.3.1 Retrieval Accuracy -- 5.3.2 Shape Registration -- 5.3.3 Algorithm Complexity -- 5.4 Conclusion -- References -- 6 Vision-Based Line Tracking Control and Stability Analysis of Unicycle Mobile Robots -- 6.1 Introduction -- 6.2 Model Development -- 6.2.1 Robot Kinematic Model -- 6.2.2 Robot-Camera Model -- 6.3 Feedback Control Design and Stability Analysis -- 6.3.1 Circular Line Tracking -- 6.3.2 Straight-Line Tracking -- 6.4 Simulation and Experimental Results -- 6.5 Conclusion -- References -- 7 Markerless 3D Virtual Glasses Try-On System -- 7.1 Introduction -- 7.1.1 Motivation -- 7.1.2 Related Work -- 7.2 Proposed System -- 7.3 Face Detection -- 7.3.1 Detecting user's Face and Eyes with Viola-Jones Method -- 7.4 Pose Estimation for AR Tracking. 7.5 Experimental Results -- 7.5.1 Dataset Collection -- 7.5.2 Experimental Setup -- 7.5.3 Conclusion -- 7.6 Conclusions -- References -- 8 Copy-Move Forgery Detection by Using Key-Point-Based Harris Features and CLA Clustering -- 8.1 Introduction -- 8.2 Related Works -- 8.3 SIFT K-Means Algorithm -- 8.4 Proposed Key-Point-Based Harris CLA Clustering Scheme -- 8.5 Experimental Analysis -- 8.6 Conclusion and Future Scope -- References -- 9 Web-Based Virtual Reality for Planning and Simulation of Lifting Operations Performed by a Hydraulic Excavator -- 9.1 Introduction -- 9.2 Mathematical Model of a Hydraulic Excavator Performing Lifting Operations -- 9.2.1 Kinematical Analysis -- 9.2.2 Workspace Characteristics of the Digging Manipulator -- 9.2.3 Dynamic Model -- 9.3 Development and Testing of a Web-Based VR for Planning, Simulation, and 3D Animation of Lifting Operations -- 9.3.1 Description of the Structure of the Developed Web-Based VR Environment -- 9.3.2 Correctness of the Mechanical Structure Movements in the VR Environment -- 9.3.3 Testing of the Developed Web-Based VR Environment -- 9.4 Conclusions -- References -- 10 On Metrics Used in Colonoscopy Image Processing for Detection of Colorectal Polyps -- 10.1 Introduction -- 10.2 Approaches for the Determination of the Polyp Content on Images -- 10.3 Measures for Success Rates -- 10.4 Using Outputs of the Different Approaches as an Input to an Active Contour Method -- 10.5 Conclusion -- References -- 11 MedSecureChain: Applying Blockchain for Delegated Access in Health Care -- 11.1 Introduction -- 11.1.1 Our Contribution -- 11.2 Preliminaries -- 11.2.1 Blockchains -- 11.2.2 Related Work Summary and Demand for New Type of Delegated Access Control -- 11.3 Proposed MedSecureChain in Health Care -- 11.3.1 Overview -- 11.3.2 Procedures -- 11.4 Implementation -- 11.5 Conclusion -- References. 12 Cosine and Soft Cosine Similarity-Based Anti-Phishing Model -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Proposed Methodology -- 12.3.1 Dataset -- 12.3.2 Similarity Layer (SL) -- 12.3.3 Validation Layer (VL) -- 12.4 Result and Discussions -- 12.5 Conclusion -- References -- 13 Enhanced Image Steganography Technique Using Cryptography for Data Hiding -- 13.1 Introduction -- 13.1.1 Steganography -- 13.1.2 Cryptography -- 13.2 Related Work -- 13.3 Proposed Methodology -- 13.3.1 AES Algorithm -- 13.3.2 Encryption Module -- 13.3.3 Extraction Module -- 13.4 Results and Discussion -- 13.4.1 PSNR -- 13.4.2 MSE -- 13.4.3 Embedding Capacity -- 13.5 Conclusion -- References -- 14 Comparative Analysis of Various Recommendation Systems -- 14.1 Introduction -- 14.2 Types of Recommendation Systems -- 14.2.1 Content-Based Recommendation Systems -- 14.2.2 Collaborative Filtering-Based Recommendation Systems -- 14.2.3 Hybrid Recommendation System -- 14.3 Comparative Analysis -- 14.4 Conclusion -- References -- 15 Finger Knuckle Print Feature Extraction Using Artificial Intelligence Algorithm -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Proposed Approach -- 15.3.1 Digital Preprocessing -- 15.3.2 Proposed Architecture -- 15.4 Experimental Results -- 15.5 Conclusions and Future Scope -- References -- 16 The Using of Deep Neural Networks and Acoustic Waves Modulated by Triangular Waveform for Extinguishing Fires -- 16.1 Introduction -- 16.2 Structure of the Acoustic Fire Extinguisher -- 16.3 Using Deep Neural Networks for Fire Detection -- 16.3.1 Hardware System for Fire Detection and Control of Fire Extinguisher -- 16.3.2 Training of the DNN -- 16.4 Experimental Results -- 16.5 Summary -- References -- 17 Electronic Information Image Processing Technology Based on Convolutional Neural Network -- 17.1 Research Status. 17.2 The Principle of Convolutional Neural Network -- 17.2.1 Local Receptive Field -- 17.2.2 Weight Sharing -- 17.2.3 Pooling -- 17.3 Application of Convolutional Neural Network in Image Processing -- 17.3.1 Image Identification -- 17.3.2 Image Semantic Segmentation -- 17.3.3 Object Detection -- 17.4 The Conclusion -- References -- 18 Research on Related Problems of Intelligent Medical Logistics Distribution Based on Particle Swarm Optimization -- 18.1 Introduction -- 18.2 Problems in My Country's Medical Logistics Distribution -- 18.3 Introduction and Advantages of Particle Swarm Optimization Algorithm -- 18.3.1 Introduction to Particle Swarm Optimization -- 18.3.2 Application Advantages of Particle Swarm Optimization -- 18.4 Application of Particle Swarm Optimization in Logistics Route Optimization -- 18.4.1 Mathematical Model of Distribution Vehicle Routing Problem -- 18.4.2 Components of Mathematical Model of Distribution Route -- 18.5 The Conclusion -- References -- 19 Study of Wool Image Recognition Based on Texture Features -- 19.1 Gray-Level Co-occurrence Matrix -- 19.2 Image Preprocessing -- 19.3 Texture Features and Parameter Extraction of Wool Image Texture Features -- 19.3.1 Texture Features -- 19.3.2 Parameter Extraction of Wool Image Texture Features -- 19.4 Wool Image Judgment and Recognition -- 19.4.1 Ridge Regression Method -- 19.4.2 KNN Algorithm -- 19.4.3 SVM Method -- 19.5 Result Analysis -- 19.5.1 Analysis of Error Rate -- 19.5.2 Analysis of Operation Time -- 19.6 Conclusion -- References -- 20 The Observation and Simulation of Dynamic Diffraction Patterns Caused by a Cylindrical Liquid Diffusion Pool for Diffusivity Measurement -- 20.1 Introduction -- 20.2 Principle -- 20.2.1 The Experimental Setup and Imaging Principle -- 20.2.2 The Calculations Theory for Diffusion Coefficient -- 20.2.3 The Simulation Principle. 20.3 Observation and Simulation Results. |
| Record Nr. | UNINA-9910484214903321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||