Industrial networks and intelligent systems : 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27-28, 2020, Proceedings

Industrial networks and intelligent systems : 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27-28, 2020, Proceedings / Nguyen-Son Vo, Van-Phuc Hoang (eds.).

This book constitutes the refereed proceedings of the 6th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2020, held in Hanoi, Vietnam, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 26 full papers were selected from 59 submission...

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Bibliographic Details
Corporate Author: International Conference on Industrial Networks and Intelligent Systems Online
Other Authors: Vo, Nguyen-Son, Hoang, Van-Phuc (Electronics engineer)
Format: eBook
Language:English
Published: Cham : Springer, 2021.
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 334.
Subjects:
Computer networks > Industrial applications > Congresses.
Expert systems (Computer science) > Congresses.
Expert systems (Computer science)
Computer networks > Industrial applications
Artificial intelligence
Computer networks
Computer science > Mathematics
Computers
Data structures (Computer science)
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • Telecommunications Systems and Networks
  • Intelligent Channel Utilization Discovery in Drone to Drone Networks for Smart Cities
  • 1 Introduction
  • 2 Network Architecture
  • 3 System Model
  • 3.1 Searching and Finding Sub-layer
  • 3.2 Functional Sub-layer
  • 4 Simulation Environment
  • 5 Performance Evaluation
  • 6 Conclusions
  • References
  • Downlink Resource Sharing and Multi-tier Caching Selection Maximized Multicast Video Delivery Capacity in 5G Ultra-Dense Networks
  • 1 Introduction
  • 2 System Model
  • 3 System Formulations
  • 3.1 Wireless Channel
  • 3.2 Capacity at RUs
  • 3.3 SINR at SUs
  • 4 DRS-MCS Optimization Problem and Solution
  • 5 Performance Evaluation
  • 6 Conclusion
  • References
  • Performance Analysis of Relay Selection on Cooperative Uplink NOMA Network with Wireless Power Transfer
  • 1 Introduction
  • 2 Network and Channel Models
  • 2.1 Power Transfer Phase
  • 2.2 Information Transmission Phase
  • 2.3 Relay Phase
  • 3 Performance Analysis
  • 4 Nummerical Results and Disscussion
  • 5 Conclusion
  • References
  • Convolutional Neural Network-Based DOA Estimation Using Non-uniform Linear Array for Multipath Channels
  • 1 Introduction
  • 2 Signal Model and Dataset Generation
  • 2.1 Signal Model of Antenna Array
  • 2.2 Dataset Generation
  • 3 CNN-Based DOA Estimation Model
  • 4 Experiment Result and Discussion
  • 4.1 DOA-ConvNet with Different Filter Size
  • 4.2 DOA-ConvNet with Different Number of Filters
  • 4.3 DOA-ConvNet with Different Conv-Blocks
  • 4.4 Comparison of DOA-ConvNet with Other Existing CNN Models
  • 5 Conclusion
  • References
  • An UAV and Distributed STBC for Wireless Relay Networks in Search and Rescue Operations
  • 1 Introduction
  • 2 Distributed STBC Cooperative Diversity System
  • 3 Proposed Method
  • 4 Performance Evaluation
  • 4.1 Simulation Conditions
  • 4.2 Simulation Results
  • 5 Conclusion
  • References
  • Hardware, Software, and Application Designs
  • Resolution-Improvement of Confocal Fluorescence Microscopy via Two Different Point Spread Functions
  • 1 Introduction
  • 2 Methodology
  • 3 Simulation and Experimental Results
  • 4 Conclusion
  • References
  • Estimations of Matching Layers Effects on Lens Antenna Characteristics
  • 1 Introduction
  • 2 Theoretical Matching Layers and Antenna Modeling
  • 2.1 Theoretical Matching Layers
  • 2.2 Antenna Modeling
  • 2.3 Simulation Parameters
  • 3 Simulation Results
  • 3.1 Power Reflection Coefficients
  • 3.2 Radiation Patterns
  • 3.3 Side-Lobe Levels
  • 3.4 The Lens Thickness
  • 3.5 Electric Field Distributions
  • 4 Conclusion
  • References
  • A 3-Stacked GaN HEMT Power Amplifier with Independently Biased Technique
  • 1 Introduction
  • 2 Descriptions of the Proposed Amplifier

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