<p><span>This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2023), held at Technical University of Sofia, Sofia, Bulgaria, during 6â8 July 2023. The book covers research papers in the field of N-dimensional mult
New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2022
â Scribed by Roumen Kountchev, Rumen Mironov, Kazumi Nakamatsu
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 287
- Series
- Smart Innovation, Systems and Technologies, 332
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), held at Technical University of Sofia, Sofia, Bulgaria, during 23â25 June 2022. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
⌠Table of Contents
Organizing Committee
Preface
Contents
About the Editors
Multidimensional Signal Processing
Multidimensional Signal Processing and ApplicationsâNew Approaches
1 Introduction
2 Main Topics Presented at NAMSPâ22
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 âTIMEâ
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: AÂ 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 EĎ
1 Introduction
2 Reasons
2.1 User Stories
2.2 Invest
2.3 Paraconsistent Annotated Evidential Logic EĎ
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 BlocksâA 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
3.2 Critical Equipment Positioning in Real Time
3.3 Pedestrian Safety
3.4 Shipment Validation
3.5 Robots Empower Intelligent Warehouse Management
3.6 Open IOT Protocols for Building Event-Based Workflows
3.7 Conclusion
References
Development and Design of Intelligent Traction System for Bulk Cargo Terminal
1 Introduction
2 Technical Parameters
2.1 Operating Environmental Conditions
2.2 Main Technical Parameters
3 System Composition
4 Design of Intelligent Tractor
4.1 Vehicle Body
4.2 Traveling Mechanism
4.3 Dynamic System
4.4 Brake System
4.5 Manual Control System
4.6 Coupler
5 Application of Power Supply System
6 Development and Implementation of Control System
6.1 Continuous Loading Control
6.2 Adjacent Compartment Management
7 Construction of Communication System
8 Conclusions
References
Author Index
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