Advances in Intelligent Networking and Collaborative Systems : The 14th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2022) / edited by Leonard Barolli, Hiroyoshi Miwa.

Format:

Book

Contributor:

Barolli, Leonard, editor.

Miwa, Hiroyoshi, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 527

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (513 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people's connections, relations, and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities, and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. The aim of the book “Advances on Intelligent Networking and Collaborative Systems” is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, and so on as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligentcollaborative systems.

Contents:

Intro

Welcome Message from the INCoS-2022 Organizing Committee

INCoS-2022 Organizing Committee

Honorary Chair

General Co-chairs

Program Co-chairs

International Advisory Committee

International Liaison Co-chairs

Award Co-chairs

Web Administrator Co-chairs

Local Arrangement Co-chair

Finance Chair

Steering Committee Chair

Track Areas and PC Members

Track 1: Data Mining, Machine Learning and Collective Intelligence

Track Co-chairs

TPC Members

Track 2: Intelligent Systems and Knowledge Management

Track 3: Wireless and Sensor Systems for Intelligent Networking

Track 4: Service-based Systems

Track 5: Networking Security and Privacy

Track 6: E-Learning and Web-based Systems

Track 7: Cloud Computing: Services, Storage, Security and Privacy

Track 8: Social Networking and Collaborative Systems

Track 9: Intelligent and Collaborative Systems for e-Health

Track 10: Big Data Analytics for Networking and Collaborative Systems

INCoS-2022 Reviewers

INCoS-2022 Keynote Talks

Sec44

Fundamental Model of Online User Dynamics Based on a Causal Framework

Big Data Analytics on COVID-19 Epidemiological Data

Contents

User's Emotion Profiling in Web Browsing Behavior

1 Introduction

2 Related Work

2.1 Emotion Analysis and Emotion Model

2.2 Web Browsing Behavior

3 Motivating Example

4 Proposed Method

4.1 Overview

4.2 Web Browsing Behavior

4.3 Emotion Profiling

4.4 Gap Calculation Function

5 Conclusion

References.

A Comparison Study of FC-RDVM and LDVM Router Placement Methods for WMNs by WMN-PSOHC Simulation System Considering Different Instances

2 Intelligent Algorithms

2.1 Particle Swarm Optimization

2.2 Hill Climbing

3 WMN-PSOHC Hybrid Simulation System and FC-RDVM

4 Simulation Results

5 Conclusions

References

Stochastic Computing-Based Baseband Processing for Resource Constraint IoT Devices

2 Background on SC, FIR Filter and Synchronization

2.1 Stochastic Computing (SC)

2.2 Finite Impulse Response (FIR) Filter

2.3 Synchronization

3 Related Work

4 Proposed SC-based Designs

4.1 2-By-2 Fast FIR Algorithm (FFA2)

4.2 3-By-3 FFA FIR Filter Design (FFA3)

4.3 Propose SC-Based FIR and Synchronization Designs

5 Performance Evaluation

5.1 Comparative Numerical Analysis

5.2 Simulation

5.3 Gate Counts and Energy Consumptions

6 Conclusion

Comparative Road State Decision Making Results by Various Environmental Sensors on Public Winter Road

2 Related Works

3 Wide Area Road States Information Platform

4 Previous Version of Road Sensor Unit (RSU-1)

5 New Version of Road Sensor Unit (RSU-2)

5.1 Prototype and Performance Evaluation

6 Conclusions

A Movement Adjustment Method for DQN-Based Autonomous Aerial Vehicle Mobility: Performance Evaluation of AAV Mobility Control Method in Corner Environment

2 DQN Based AAV Testbed

2.1 Quadrotor for AAV

2.2 DQN for AAV Mobility

3 Proposed Method

3.1 LiDAR Based Mobile Area Decision Method

3.2 TLS-DQN

3.3 Movement Adjustment Method

4 Performance Evaluation

4.1 Results of LiDAR Based Decision Method

4.2 Simulation Results of TLS-DQN

4.3 Results of Movement Adjustment Method

Personalized Security Solutions in Dispersed Computing

2 Personalized Secret Sharing Techniques

3 DNA-Based Visual Steganography

4 Conclusions

Obstacle Detection Support System Using Monocular Camera

2 Previous Research

3 Obstacle Detection Support System Using Monocular Camera

3.1 Proposed System and Method

3.2 Detection of Obstacles by Depth Map

3.3 Detection of Obstacles by Deep Learning

4.1 Detection of Obstacles by Depth Map

4.2 Detection of Obstacles by Deep Learning

Chatbot at University, a Communication Tool to Increase Work Productivity

1 Chatbot, a Tool for Effective Communication

2 Chatbot Types

2.1 Knowledge Domain Access

2.2 Type of Service Provided

2.3 Goals

2.4 Method of Input Processing and Response Generation

2.5 Method of Development

3 CASE Study

3.1 Analysis of Input Conditions

3.2 Time and Financial Analysis of the Selected Process (Question - Answer)

4 Conclusion

CoPoi: A Collaborative Framework to Optimize the Approach Towards Points of Interest

3 The Collaborative Framework

3.1 Dataset Generation

3.2 Time Contraction

3.3 Feedback Results

4 Valuation

4.1 Dataset Generation

4.2 Time Contraction and Feedback Results

5 Conclusions and Future Hints

Self-positioning Method Based on Similarity Between Environmental Map and Information of Image and Point Cloud

3 Self-positioning Methods

3.1 Self-positioning Method Based on Similarity of Point Clouds

3.2 Self-positioning Method Based on Image

4.1 Evaluation of Self-positioning Method Based on Similarity of Point Clouds.

4.2 Evaluation of Self-positioning Method Based on Image

Fake Listing or Truth? Using Pre-trained Deep Learning Model with Data Augmentation to Detect the Imposter

2.1 Re-sampling Data To Detect Auction Fraud

2.2 ResNet Model

2.3 FLAIR Model

2.4 BERT Model

3 Data and Methodology

3.1 Data Collection

3.2 Data Preparation

4 Results

4.1 Exploratory Data Analysis

4.2 Machine Learning Model

5 Discussion

Data Analytics for Parking Facility Management

1 Introduction and Related Works

2 Background

2.1 Auto-regressive Integrated Moving Average (ARIMA) Model

2.2 Neural Network-Based Time Series Prediction

3 Our Parking Data Analytics System

3.1 Prediction Period

3.2 Weighted Ensemble Prediction

3.3 Our Time Series Prediction Algorithm

4 Evaluation

4.1 Setup

4.2 Evaluation Metrics

4.3 Individual Results

4.4 Ensemble Results

OCR Error Correction for Vietnamese OCR Text with Different Edit Distances

2 Candidate Generation Algorithm

2.1 Character Edit Operations

2.2 Candidate Generation Algorithm

3 Dataset and Experimental Results

3.1 Dataset

3.2 Experimental Results and Discussions

A Fuzzy-Based System for Assessment of Fog Computing Resources in SDN-VANETs Considering Service Migration Speed as a New Parameter

2 Cloud-Fog-Edge SDN-VANETs

3 Proposed FL-Based System

Performance Evaluation Experiments of Bitcoin SV Scaling Test Network

2.1 Calculation of Blockchain Split Probability

2.2 Theory of Priority Queuing

3 Bitcoin SV Scaling Test Network.

4 Performance Evaluation Experiments

4.1 Experiment 1: Estimating the Occupancy Rate of Approving Transactions in STN

4.2 Experiment 2: Estimating BC Split Probability

4.3 Experiment 3: Testing Transaction Processing Performance

The Emerging Challenges of Big Data Lakes, and a Real-Life Framework for Representing, Managing and Supporting Machine Learning on Big Arctic Data

3 ArcticDL: A Real-Life Framework for Representing, Managing and Supporting Machine Learning on Big Arctic Data

3.1 Data Sources

3.2 Front End

3.3 Back End

3.4 Metadata Design for the Back End

4 Challenges and Future Directions in Big Data Lake Research

5 Conclusions and Future Work

Data Ingestion for Data-Driven Service Platform: Royal Project Foundation Case Study

1.1 The Royal Project Foundation

2.1 Data Generation

2.2 Data Acquisition

2.3 REDCap

3 Data Management

3.1 Requirement Management

3.2 Data Collection

3.3 Data Collection in Action

3.4 Data Quality

A Study on an Autonomous Adaptive Mechanism for the Robustness of the User's Location-Aware Resource Assignment Against Demand Fluctuation

2 Autonomous Decentralized Resource Assignment Method

2.1 System Model

2.2 Formulation of Assignment Problem

2.3 Autonomous Resource Assignment for Entities

2.4 Characteristics

3 Autonomous Adaptive Mechanism for Control Parameter

4 Simulation Result

4.1 Setting

4.2 Result

5 Conclusion and Future Work

Mesh Routers Placement by WMN-PSODGA Hybrid Intelligent System Considering Stadium Distribution and RDVM: A Comparison Study for Different Crossover Methods

1 Introduction.

2 Intelligent Algorithms for Proposed Hybrid Simulation System.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Barolli, Leonard Advances in Intelligent Networking and Collaborative Systems

ISBN:

3-031-14627-1