2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) / / Ruidong Li, Kazumi Nakamatsu |
Autore | Li Ruidong |
Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2021 |
Descrizione fisica | 1 online resource (xii, 95 pages) : illustrations (some color) |
Disciplina | 621.367 |
Soggetto topico | Image processing |
ISBN | 1-66542-425-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | 2021 5th International Conference on Imaging, Signal Processing and Communications |
Record Nr. | UNINA-9910554173303321 |
Li Ruidong | ||
Piscataway, NJ : , : IEEE, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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2021 5th International Conference on Imaging, Signal Processing and Communications (ICISPC) / / Ruidong Li, Kazumi Nakamatsu |
Autore | Li Ruidong |
Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2021 |
Descrizione fisica | 1 online resource (xii, 95 pages) : illustrations (some color) |
Disciplina | 621.367 |
Soggetto topico | Image processing |
ISBN | 1-66542-425-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | 2021 5th International Conference on Imaging, Signal Processing and Communications |
Record Nr. | UNISA-996574841203316 |
Li Ruidong | ||
Piscataway, NJ : , : IEEE, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Advanced intelligent technologies for industry : proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) / / Kazumi Nakamatsu [and four others], editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (585 pages) |
Disciplina | 006.3 |
Collana | Smart innovation, systems, and technologies |
Soggetto topico |
Artificial intelligence
Industries - Technological innovations |
ISBN |
981-16-9734-5
981-16-9735-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743225703321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Technologies for Information and Communication : Proceedings of 3rd International Conference on Advanced Intelligent Technologies (ICAIT 2022) / / Kazumi Nakamatsu [and three others], editors |
Edizione | [First edition.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (445 pages) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies Series |
Soggetto topico | Artificial intelligence - Industrial applications |
ISBN | 981-9952-03-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- ICAIT-2022 Organization -- Preface -- Contents -- About the Editors -- Invited Paper -- VSM 4.0 (Automated Value Stream Mapping): A Digital Transformation from Lean in the Context of I4.0 -- 1 Introduction -- 2 Methodology -- 3 Literature Review -- 3.1 Literature Review -- 3.2 Current Status of the VSM -- 3.3 Digital Integration of Lean Methods -- 4 Results and Discussion -- 5 Final Considerations -- References -- Regular Papers -- Passive Detection Beamforming Based on Arc Array -- 1 Introduction -- 2 The Principle of Passive Directional Beamforming -- 3 Array Design -- 3.1 Uniform Linear Array -- 3.2 Ring Array -- 3.3 Arc Array -- 4 Simulation -- 5 Conclusion -- References -- Shoal Target Recognition Based on Sample Data Enhancement and Target Detection -- 1 Introduction -- 2 GAN-Based Data Augmentation -- 3 Object Detection Method -- 4 Experimental Results and Performance Analysis -- 4.1 Data Augmentation Experiment -- 4.2 Shoal Target Detection and Recognition Test -- References -- Research on the Influence of Aging Information System Optimization Based on Big Data on China's Rural Revitalization -- 1 Introduction -- 2 Conceptual Stage and Research Assumptions -- 2.1 Conceptual Stage -- 2.2 Research Assumptions -- 3 Indicator Selection and Model Building -- 3.1 Indicator Selection -- 3.2 Relationship Determined -- 3.3 Relationship Determined -- 4 Result Analysis -- 5 Conclusion -- 6 Prospects -- References -- Analysis of Hainan Tourism Carbon Balance Information System Based on Big Data -- 1 Introduction -- 2 Research Methods and Data Sources -- 2.1 Tourism Carbon Emission Information System Measurement Model -- 2.2 Tourism Ecosystem Carbon Absorption Information System Measurement Model -- 2.3 Tourism Carbon-Deficit Model -- 2.4 Data Source and Processing -- 3 Results and Analysis.
3.1 Analysis of Carbon Emissions Information System from Tourism in Hainan Province -- 3.2 Carbon Absorption Information System Analysis of Tourism in Hainan Province -- 3.3 Carbon Balance Information System Analysis of Tourism in Hainan Province -- 4 Results and Analysis -- 4.1 Main Research Conclusions -- 4.2 Related Recommendations -- References -- Power Data Sharing Model Based on Blockchain and IPFS Storage -- 1 Introduction -- 2 Shared Architecture and Storage Methods -- 3 Data Sharing Method -- 4 IPFS Storage Network -- 5 Experiments and Analysis -- 6 Storage Efficiency Test -- 7 Retrieval Efficiency Test -- 8 Conclusion -- References -- A Steady-State Model on Finger-Vein Recognition Accuracy -- 1 Introduction -- 1.1 Why Stability -- 1.2 What is Steady State -- 1.3 Main Contributions -- 2 Related Work -- 3 The Steady-State Model -- 4 Experiment Results -- 4.1 Dataset and Algorithm Description -- 4.2 Experiments and Results -- 5 Conclusion -- References -- A Rail Obstacle Target Detection Technology Based on the Perspective of Unmanned Aerial Vehicle -- 1 Introduction -- 2 YOLO5 Base Model Structure -- 3 The Improved Yolo5 Structure -- 3.1 Transfer Learning -- 3.2 Transformer Self-attention Mechanism -- 3.3 CBAM Attention Module -- 3.4 Multi-scale Hole Convolution -- 4 Experimental Verification -- 5 Conclusions and Prospects -- References -- A Novel Global-Local Feature Extraction Method Based on Deep Learning for Football Movement Training -- 1 Introduction -- 2 The Global-Local Feature Extraction Model -- 2.1 Region Detection -- 2.2 Global Feature Extraction -- 2.3 Local Feature Extraction -- 2.4 HOG Feature Extraction -- 3 Experiments and Analysis -- 3.1 Analysis of Feature Classification Results -- 3.2 Analysis of Ablation Experiment -- 4 Conclusion -- References. Remaining Useful Lifetime Prediction Method of Aviation Equipment Based on Improved Particle Filter -- 1 Introduction -- 2 Improved PF Algorithm -- 2.1 VAE -- 2.2 Particle Reinforced Mechanism -- 3 RUL Prediction -- 4 Example Analysis -- 5 Conclusion -- References -- Research on CBRN Practical Assessment Technology Based on Artificial Intelligence Technology -- 1 Introduction -- 2 Problems Faced by Equipment Practical Assessment -- 3 Feasibility Design of Assessment System Based on Intelligent Recognition Technology -- 4 Verification of Target Detection Technology and Design of Expert System -- 4.1 Object Detection Technology -- 4.2 Design of Expert System -- 5 Conclusion -- References -- Research on the Application of Voice Acoustics for Speech Intelligence in Folk Songs -- 1 Introduction -- 2 Introduction of Voice Acoustics Analysis -- 3 Equipment and Software for Voice Acoustic Analysis -- 4 Acoustic Analysis of Folk Singing Voice -- 4.1 Selection and Recording of Speakers -- 4.2 Voice Parameter Extraction -- 5 Voice Parameter Analysis -- 5.1 Analysis of the Vocal Type of Singing Voice -- 5.2 Voice Analysis of Drag Cavity in Folk Songs -- 6 Conclusion and Discussion -- References -- Acoustic Parameters Analysis of Special Singing Method of Folk Songs for Singing Speech Synthesis -- 1 Introduction -- 2 Experimental Process -- 2.1 Pronunciation Informant and Recording Methods -- 2.2 Voice Signal Processing -- 2.3 Acoustic Parameter Extraction -- 2.4 Data Processing -- 3 Analysis of Results -- 3.1 Fundamental Frequency Analysis -- 3.2 Intensity Analysis -- 3.3 Formant Analysis -- 3.4 Perturbation Analysis -- 4 Conclusion and Discussion -- References -- Simulation of Crop Planting Decision System Based on "U + CSA" Public Welfare Agriculture and Machine Learning Algorithm -- 1 Introduction. 2 Analysis of the Existing Mode of "U + CSA" Public Welfare Assistance to Agriculture in China -- 3 Machine Learning Algorithm Model -- 4 Machine Learning Algorithm Flow -- 5 Crop Planting Decision System -- 6 Analysis of Experimental Results -- 7 Conclusion -- References -- Evaluation Method of Armored Soldier Simulated Training Based on BP Neural Network -- 1 Introduction -- 2 Establishment of Assessment and Evaluation Index System -- 2.1 First-Level Indicators -- 2.2 Secondary Indicators -- 2.3 Three-Level Indicators -- 3 Appraisal Method of Armored Force Simulation Training Using BP Neural Network -- 3.1 Building a BP Neural Network Model -- 3.2 Instance Verification -- 3.3 Results and Analysis -- 4 Concluding Remarks -- References -- Research on the Shape of Hair Dryer Handle Using Fuzzy Theory -- 1 Introduction -- 2 Research Purpose -- 3 Literature Review -- 3.1 Factor Analysis -- 3.2 Fuzzy Logic -- 4 Research Process and Methods -- 5 Investigation and Analysis -- 6 Conclusion -- References -- A Scheme for Determining Maintenance Task Priority -- 1 Introduction -- 2 Prioritization Model -- 3 Task Priority Classification -- 4 Case Study -- 5 Conclusion -- References -- An Improved Channel Assignment and Topology Control Algorithm in Cognitive Radio Networks -- 1 Introduction -- 2 System Model -- 3 Simulation Results -- 4 Summary -- References -- LFPS-HSDN: Link Failure Protection Scheme in Hybrid SDNs -- 1 Introduction -- 2 Related Work -- 3 Model Formulation -- 4 Failure Protection Scheme for Hybrid SDNs -- 4.1 SDN Candidate Selection Approach -- 4.2 Protection Path Selection Algorithm -- 5 Performance Evaluation -- 5.1 Simulation Setup -- 5.2 Number of SDN Switches -- 5.3 Average Protection Path Length and Maximum Link Utilization -- 6 Conclusion -- References. Fractional Gradient Descent Algorithm for Nonlinear Additive Systems Using Weierstrass Approximation Method -- 1 Introduction -- 2 The Nonlinear Additive Model with Unknown Structure -- 3 The FGD Algorithm -- 3.1 GD Algorithm-Review -- 3.2 Fractional Derivative -- 3.3 FGD Algorithm -- 3.4 Properties of the FGD Algorithm -- 4 Preconditioned Matrix-Based FGD Algorithm -- 5 Example -- 5.1 A Simulation Example -- 5.2 A Tank Heater Example -- 6 Conclusions -- References -- Design and Implementation of a Low-Code and No-Code Platform Applied in Meteorological Monitoring Service -- 1 Introduction -- 2 Simulation and Co-Develop Platform -- 2.1 Concept of Low-Code/No-Code -- 2.2 Structure of Low-Code/No-Code -- 2.3 Development Mode Comparison -- 3 Key Technology -- 3.1 Process Engine and Service Orchestration Technology -- 3.2 Component Management Technology -- 3.3 Electron Frame -- 4 Application -- 5 Conclusions -- References -- Model-Data Driven Fusion Method Considering Charging Rate and Temperature to Predict RUL of Lithium-Ion Battery -- 1 Introduction -- 2 Improved SEDM-ISE -- 2.1 Relevant Indicators for Li-Ion Batteries -- 2.2 Description of Li-Ion Battery Datasets -- 2.3 Semi-empirical Degradation Model Considering Charging Rate and Temperature -- 3 Degradation Modeling of Li-Ion Batteries Based on PF -- 3.1 Model Derivation -- 3.2 ISE Parameter Update Based on PF -- 4 RUL Prediction with the Introduction of pSVR -- 4.1 Model Evaluation Indicators -- 4.2 Experimental Verification of ISE-PF-PSVR -- 5 Conclusion -- References -- Design of Indoor Air Purification Control System Based on STM32 -- 1 Introduction -- 2 Solution Design -- 3 Hardware Selection -- 4 Software Design -- 5 Simulation and Demonstration -- 6 Conclusion -- 7 Funding Project -- References -- Decentralized Oracle with Mechanism for Reputation and Incentive -- 1 Introduction. 2 Related Methods. |
Record Nr. | UNINA-9910755077703321 |
Singapore : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Virtual Reality Technologies : Proceedings of 6th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2022) / / edited by Kazumi Nakamatsu, Srikanta Patnaik, Roumen Kountchev, Ruidong Li, Ari Aharari |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (255 pages) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Computational intelligence
Artificial intelligence Virtual reality Augmented reality Artificial intelligence—Data processing Computational Intelligence Artificial Intelligence Virtual and Augmented Reality Data Science |
ISBN | 981-19-7742-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Invited Paper -- Chapter 1. Paraconsistency and Paracompleteness in AI: Review Paper -- Part 2: Regular Papers -- Chapter 2. Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response -- Chapter 3. Transferring Dense Object Detection Models to Event-based Data -- Chapter 4. Diagnosing Parkinson’s Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques -- Chapter 5. Elements of Continuous Reassessment and Uncertainty Self-Awareness: A Narrow Implementation for Face and Facial Expression Recognition -- Chapter 6. Topic-aware Networks for Answer Selection -- Chapter 7. Design and Implementation of Multi_Scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform -- Chapter 8. Auxiliary Figure Presentation Associated with Sweating on a Viewer’s Hand in order to Reduce VR Sickness -- Chapter 9. Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality -- Chapter 10. 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences -- Chapter 11. Research on Chinese Garden Art Appreciation Based on Virtual Technology -- Chapter 12. Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image -- Chapter 13. Auxiliary Squat Training Method Based on Object Tracking -- Chapter 14. Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering -- Chapter 15. An AI-based System Offering Automatic DR-enhanced AR for Indoor Scenes -- Chapter 16. Extending Mirror Therapy into Mixed Reality – Design and Implementation of the application PhantomAR to alleviate phantom limb pain in upper limb amputees -- Chapter 17. An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field based on CiteSpace -- Chapter 18. Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service. . |
Record Nr. | UNINA-9910645892903321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Introduction to Annotated Logics : Foundations for Paracomplete and Paraconsistent Reasoning / / by Jair Minoro Abe, Seiki Akama, Kazumi Nakamatsu |
Autore | Abe Jair Minoro |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (195 p.) |
Disciplina | 005.101 |
Collana | Intelligent Systems Reference Library |
Soggetto topico |
Computational intelligence
Artificial intelligence Logic design Computational Intelligence Artificial Intelligence Logic Design |
ISBN | 3-319-17912-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Propositional Annotated Logics P -- Predicate Annotated Logics Q -- Formal Issues -- Variants and Related Systems -- Applications -- Conclusions. |
Record Nr. | UNINA-9910299840203321 |
Abe Jair Minoro | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Nature-Inspired Computing and Optimization : Theory and Applications / / edited by Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XXI, 494 p. 191 illus., 43 illus. in color.) |
Disciplina | 006.3 |
Collana | Modeling and Optimization in Science and Technologies |
Soggetto topico |
Computational intelligence
Mathematical optimization Artificial intelligence Computer simulation Engineering economics Engineering economy Computational Intelligence Optimization Artificial Intelligence Simulation and Modeling Engineering Economics, Organization, Logistics, Marketing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le. |
Record Nr. | UNINA-9910254330003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 |
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 | ||
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 |
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 |
Kountchev Roumen | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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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