Advanced information networking and applications : proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020)

Advanced information networking and applications : proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020) / Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa, editors.

This proceedings book covers the theory, design and applications of computer networks, distributed computing and information systems. Todays networks are evolving rapidly, and there are several developing areas and applications. These include heterogeneous networking supported by recent technologica...

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Bibliographic Details
Corporate Author: International Conference on Advanced Information Networking and Applications Caserta, Italy
Other Authors: Barolli, Leonard, Amato, Flora, Moscato, Francesco, Enokido, Tomoya, Takizawa, Makoto
Format: eBook
Language:English
Published: Cham : Springer, ©2020.
Series:Advances in intelligent systems and computing ; v. 1151.
Subjects:
Computer networks > Management > Congresses.
Computer networks > Management
Electronic books.
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Welcome Message from AINA-2020 Steering Committee Co-chairs
  • Welcome Message from AINA-2020 General Co-chairs
  • Welcome Message from AINA-2020 Program Committee Co-chairs
  • Welcome Message from AINA-2020 Workshops Co-chairs
  • AINA-2020 Organizing Committee
  • General Co-chairs
  • Program Committee Co-chairs
  • Workshops Co-chairs
  • International Journals Special Issues Co-chairs
  • Award Co-chairs
  • Publicity Co-chairs
  • International Liaison Co-chairs
  • Local Arrangement Co-chairs
  • Finance Chair
  • Web Co-chairs
  • Steering Committee Co-chairs
  • Tracks and Program Committee Members
  • 1. Network Protocols and Applications
  • Sec14
  • Sec15
  • 2. Next Generation Wireless Networks
  • Sec17
  • Sec18
  • 3. Multimedia Systems and Applications
  • Sec20
  • Sec21
  • 4. Pervasive and Ubiquitous Computing
  • Sec23
  • Sec24
  • 5. Internet Computing and E-Learning
  • Sec26
  • Sec27
  • 6. Distributed Systems and Social Networks
  • Sec29
  • Sec30
  • 7. Grid, P2P and Scalable Computing
  • Sec32
  • Sec33
  • 8. Agents, Semantics and Intelligent Computing
  • Sec35
  • Sec36
  • 9. Cloud, Data Centers and Services Computing
  • Sec38
  • Sec39
  • 10. Security, Privacy and Trust Computing
  • Sec41
  • Sec42
  • 11. Intelligent and Cognitive Systems
  • Sec44
  • Sec45
  • 12. Intelligent Vehicle and Transportation Systems
  • Sec47
  • Sec48
  • AINA-2020 Reviewers
  • AINA-2020 Keynote Talks
  • Information Networks and Ecological Networks Paul Krause University of Surrey, Guildford, UK
  • Ethics and Data Quality: An Imperative Marriage Letizia Tanca Polytechnic of Milan, Milan, Italy
  • Contents
  • Dynamic Routing and Bandwidth Provision Based on Reinforcement Learning in SDN Networks
  • 1 Introduction
  • 2 Related Work
  • 3 IRBRL Architecture
  • 3.1 Overview
  • 3.2 Route Module
  • 3.3 Active Module
  • 3.4 Passive Module
  • 4 IRBRLKernel
  • 4.1 State
  • 4.2 Action
  • 4.3 Reward
  • 5 Conclusions and Future Studies
  • References
  • Blockchain-Based Reputation System in Agri-Food Supply Chain
  • 1 Introduction
  • 1.1 Related Work
  • 2 System Model
  • 3 Simulation and Results
  • 4 Conclusion
  • References
  • An Enhanced Convolutional Neural Network Model Based on Weather Parameters for Short-Term Electricity Supply and Demand
  • 1 Introduction
  • 2 Related Work
  • 3 Methodology
  • 3.1 Overview of Methodological Approach
  • 3.2 Weather Data
  • 3.3 Data Preprocessing
  • 3.4 Feature Extraction
  • 3.5 Data Preparation
  • 3.6 Model Structure
  • 4 ECNN: Our Proposed Model
  • 4.1 Performance Metrics
  • 5 Simulation Results
  • 6 Conclusion
  • References
  • A Secure Distributed e-Health System for the Management of Personal Health Metrics Data
  • Abstract
  • 1 Introduction
  • 2 The System Architecture
  • 3 The Optimization Model
  • 4 The Implementation Details
  • 4.1 The Detection of the Average Heart Rate
  • 4.2 The Detection of the Delayed Repolarization of the Heart
  • 4.3 The Detection of the Minimum and Maximum Heart Rates

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