Details

Subject(s)

• Information theory [Browse]

Editor

• Wang, Chua-Chin [Browse]
• Nallanathan, Arumugam [Browse]

Series

Signals and Communication Technology [More in this series]

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• Intro
• Preface
• Contents
• Part I: Digital Signal and Image Processing
• A Deep Learning-Based Approach for Camera Switching in Amateur Ice Hockey Game Broadcasting
• 1 Introduction
• 2 Our Approach
• 2.1 Data Collection
• 2.2 Our Deep Learning Network
• 2.3 Our Camera Switching Approach
• 3 Evaluation and Discussion
• References
• Performance of LDA Versus PCA in Nonideal Lighting Environment
• 2 Literature Review
• 3 PCA Technique
• 3.1 Theoretical Background
• 3.2 PCA Applied to Face Recognition
• 3.2.1 Training Phase
• 3.2.2 Recognition Phase
• 4 LDA Technique
• 5 Computer Simulation
• 6 Conclusion
• The Effect of the Audio Signals on the Brain for EEG-Based Attentiveness Recognition
• 1.1 Brain-Machine Interface and EEG
• 1.2 Attention
• 2 Methodology
• 2.1 Specification of Experiment
• 2.2 Equipment of the Experiment
• 3 Data Acquisition and Preprocessing
• 4 Feature Extraction and Analysis
• 4.1 The Filtering in the EEGlab
• 4.2 Manually Filtering
• 4.3 Data Analysis
• 5 Discussion
• 5.1 Mixed Signals
• 5.2 Distance
• 5.3 Insensitivity of the Equipment
• EMG-Based View Controller Using VR Applications
• 1.1 Motivation
• 1.2 Background
• 1.3 Report Structure
• 2 System Design
• 2.1 EMG Signal Collection
• 2.2 Data Process
• 2.3 Interface Software
• 3 Methods
• 3.1 Feature Extraction
• 3.2 Classification
• 4 Experiment
• 4.1 Sampling Muscles
• 4.1.1 About the Muscles Related to Experiments
• 4.1.2 About the Experimental Process and Precautions
• 4.2 Experiment Outcome
• 5 Conclusion
• Comparison and Application of Two Face Detection Algorithms
• 2 Related Work
• 2.1 Viola-Jones
• 2.2 MTCNN
• 3 Experimental Setup
• 4 Experimental Results.
• 4.1 The Results of Viola-Jones
• 4.2 The Results of MTCNN
• Research on Sound Field Evaluation of Urban Walking Street Through Sound Environment Perception
• 2 Spatial Visibility Theory and Spatial Pattern of Walking Streets
• 2.1 Spatial Visibility Theory
• 2.2 Spatial Pattern of Walking Streets
• 3 Field Measurement and Simulation Results
• 3.1 Objective Evaluation and Analysis of the Sound Environment of Calligraphy Greenway
• 3.2 Computer Simulation of the Sound Environment of Calligraphy Greenway
• 4 Evaluation and Influence of Commercial Pedestrian Streets
• 4.1 Evaluation of Commercial Pedestrian Street Perception
• Part II: Modern Information Technology and Management
• Implementation of Machine and Deep Learning Algorithms to Detect Gaps in a Sheet Metal Industry: A Case Study
• 3 Study Methodology
• 3.1 Machine Learning Algorithm Description
• 3.2 Complexity
• 4 Description of the Case Company
• 5 Result Analysis
• 5.1 Sensitivity to Noise
• 5.2 Running Time
• 5.3 Analysis of the Gaps Between the Components
• 6 Discussion and Conclusions
• Modelling the Service Process at the Cash Register Using Generating Functions
• 2 Bursty Business Processes and Gap Functions
• 3 Buyer´s Service Processing at the Check-Out
• 4 Discrete Model of the Buyer´s Service Processing
• 5 Results
• 6 Conclusions
• Adaptive, Automatic and Non-invasive Cultural Heritage Preventive Conservation Framework Based on Visual Information Crowdsour...
• 3 Materials and Methods
• 3.1 Colour Chart Design
• 3.2 Calibration System
• 4 Experimental
• 5 Results and Discussion
• References.
• An Inverted-ITL Algorithm for Mining Partial Periodic-Frequent Patterns
• 2 Related Works
• 3 The Inverted-ITL Algorithm
• 3.1 Data Structure
• 4 Performance
• 4.1 The Performance Model
• 4.2 Experiments Results
• A Viewpoints-Based Analysis of Enterprise Architecture Debt
• 2 Background
• 3 Methodology
• 3.1 Problem Identification and Motivation
• 3.2 Objectives Definition
• 3.3 Design and Development
• 3.4 Evaluation
• 3.5 Demonstration
• 3.6 Communication
• 4 Results
• 5 Evaluation
• 6 Discussion
• 6.1 Answer to Research Questions
• 6.2 Implications of Results
• 6.3 Threats to Validity
• 7 Conclusion and Future Work
• Appendix
• Detection and Prevention of ARP Cache Poisoning in Advanced Persistent Threats Using Multiphase Validation and Firewall
• 1 First Section
• 1.1 Introduction
• 2 Second Section
• 2.1 Related Works
• 2.1.1 Modifying ARP Using Cryptographic Techniques
• 2.1.2 Manually Configuring Static ARP Entries
• 2.1.3 Securing Switch Ports
• 2.1.4 Kernel-Based Patching
• 2.1.5 ARP Spoof Detection and Protection Software
• 2.2 Profile Network Behavior with DHCP Server
• 2.2.1 The Use of Machine Learning to Detect ARP Attacks
• 2.2.2 Centralized Server and Client/Server-Based Intrusion Detection System (CSIDS)
• 2.2.3 Recent Works
• 3 Third Section
• 3.1 Proposed Scheme
• 3.1.1 Detection Scheme
• 3.1.2 Prevention Scheme
• 3.1.3 Attack Report and Alert
• 4 Fourth Section
• 4.1 Simulation
• 5 Fifth Section
• 5.1 Conclusion
• Permeability and Inertia Coefficient of Wire-Mesh Porous Media Estimated by a Darcy-Forchheimer Equation
• 2 Experimental Setup
• 2.1 Experimental Diagram
• 2.2 Estimated Equation of Permeability (K) and Inertia Coefficient (F)
• 3 Results and Discussion.
• 3.1 Effect of εいぷしろん on K and F
• 3.2 Effect of H on K and F
• 3.3 Regression Analysis of K and F to εいぷしろん and H
• 4 Conclusion
• Index.

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ISBN

3-031-13181-9

OCLC

1351195534

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