Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1 / edited by Kohei Arai.

Format:

Book

Contributor:

Arai, Kohei, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 813

Language:

English

Subjects (All):

Computational intelligence.

Automatic control.

Robotics.

Automation.

Artificial intelligence.

Computational Intelligence.

Control, Robotics, Automation.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Control, Robotics, Automation.

Artificial Intelligence.

Physical Description:

1 online resource (638 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.

Contents:

Intro

Editor's Preface

Contents

Biomimetic and Psychophysical Investigations on Lifting Tasks for Developing Cooperative Reinforcement Learning Control of a Power Assist Robotic System

1 Introduction

2 Experiment 1: Lifting Objects Manually

2.1 Experimental System Development

2.2 Experimental Procedures and Results

3 Experiment 2: Lifting Objects with the PARS

3.1 Experimental Setup

3.2 Psychophysics in Dynamics and Power-Assist Control

3.3 Experimental Details

3.4 Experimental Results and Analyses

4 Comparison Between Manual and Power-Assisted Lifting

5 The Reinforcement Learning Framework

6 Conclusions and the Future Research

References

Bilateral Tele-Operation of an Unmanned Aerial Vehicle: Teaching and Learning Priority

2 Process Conceptualization

3 Kinematic Model of an Unmanned Aerial Vehicle

3.1 Tele-Operation Scheme

4 Virtual Environment Development

5 Results

6 Discussion

7 Conclusions

Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality

2 Related Work

2.1 Sim2Real

2.2 Robot Motion Planning

2.3 Embodied AI Simulators

3 Framework

3.1 Experiment Platform

3.2 Simulation

4 Message-Passing Pipeline: An Experiment

4.1 Preparation

4.2 Scene Understanding

4.3 Robot Motion Planning

4.4 Performance Validation

4.5 Results

5 Conclusion

Robot Manipulator Applied to Bottle Filling Processes: An Approach in the Teaching-Learning Process

2 Methodology

2.1 Digital Resources

2.2 Graphics Engine

2.3 Controller

2.4 Experimentation

3 Control Scheme

3.1 Kinematic Model

3.2 Perspective Projection Model

3.3 Control Scheme

4 Analysis and Results

4.1 Simulation - Virtual Environment.

4.2 Image Processing

4.3 Control Algorithm Implemented

5 Conclusions

Meaningful Learning Processes of Service Robots Through Virtual Environments

2 Conceptualization of the Process

2.1 Methodology

2.2 Virtual Environment

3 Robot Modeling

3.1 Unmanned Aerial Vehicle

3.2 Robotic Arm

3.3 Aerial Manipulator Robot

4 Control Algorithm

4.1 Unmanned Aerial Vehicle

4.2 Robotic Arm

5 Analysis and Results

6 Conclusions

On the Development of a Reconfigurable Platform for the Control of Multiple Collaborative Robots from a Software Engineering Perspective

2 Industry 4.0 Platform

3 Approaches for Control of Collaborative Robots

3.1 MoveIt Based Method

3.2 Native Development Based Methods

4 Results and Discussion

4.1 Results of MoveIt Based Approach

4.2 Results of the Proposed Native Based Approach

4.3 Assessment of Different Methods to Control Collaborative Robot

5 Conclusions and Future Work

Optimizing Electric Power Efficiency in Power-Assisted Human-Robot Collaborative Manipulation of Objects

2 Robotic System Development

3 The System Kinematics, Dynamics, and Control

4 Estimation of Electric Power and Energy Consumption by the PARS

5 Experiment: Investigating Changes in Electric Power Consumption Due to Changes in Manipulation Speed and Payloads

5.1 Recruitment of Human Subjects

5.2 Experimental Design

5.3 The Hypothesis

5.4 Experimental Procedures

5.5 Experimental Results

6 Conclusions and Future Research

Harnessing Sheaf Theory for Enhanced Air Quality Monitoring: Overcoming Conventional Limitations with Topology-Inspired Self-correcting Algorithm

2 Overview

3 Sheaf-Theoretic Self-filtering Network Modeling.

3.1 Sheaf Simplicial Constructions

3.2 Loosening Section Constraints with Consistency Structures

3.3 Consistency Filtrations

4 Integrated Algorithm

5 Toy Examples

5.1 Example 1: Sheaf Global Section or Consistency Structure Pseudo-Section

5.2 Example 2: Sheaf Data Aggregation with Simulated Signals

5.3 Example 3: Sheaf Filtration at the Minute 1545.5

6 Conclusion and Outlook

Digital Twin of Wind Generator to Simulate Different Turbine Characteristics Using IoT

2 Methodology and Results

2.1 Data Acquisition Setup

2.2 Drive Control Setup

3 Discussion and Conclusion

4 Future Work

Development of Raspberry Pi-Based IoT Landslide Monitoring System

2 Raspberry Pi-Based IoT Landslide Monitoring System

3 Laboratory Tests and Discussions

3.1 1-D Infiltration Test

3.2 Debris-Flow Flume Test

4 Conclusion

Sovereign Individual System (SIS): An Autonomous Digital Platform for Sovereign Individuals

1.1 The Sovereign Individual

1.2 Challenges for Sovereign Individuals

1.3 Digital Identity Evolution

1.4 The Paper Organization

2 Own Your Server and ID

3 Literature Review

3.1 Self-Sovereign Identity (SSI)

3.2 User Owned ID Applications

4 The Design of Sovereign Individual System (SIS)

4.1 The System Requirements

4.2 The Sovereign Individual System

4.3 The Network Architecture

4.4 The Network Protocols

Moved by B*Bots: Speculative Toy Fiction and Play with Future IoToys

2 Background

2.1 Speculative Storytelling as a Source for Design Fiction

2.2 Future Toys and Speculative Toy Fiction

3 Method

4 Findings

4.1 Unpacking the Plot of Ron's Gone Wrong

4.2 Dimensions of B*Bots

4.3 Physical Movement.

4.4 Emotional Movement

5 Discussion

Phishing Faster: Implementing ChatGPT into Phishing Campaigns

3 Implementation

3.1 Environment

3.2 URL Manipulation

3.3 Email Generation

3.4 Implementing Social Engineering Principles

4 Results

4.1 Prompt One Results

4.2 Prompt Two Results

4.3 Prompt Three Results

4.4 Implementing Urgency

4.5 Implementing Authority

4.6 Implementing Intimidation

6 Future Work

Generative AI: Citations for Trust and Consensus

1 Background

2 Introduction

3 Searching for Citations

4 Evaluating Trustworthiness

5 Building Consensus

6 Discussion and Conclusion

A Use-Case for Implementing ChatGPT to Augment Teaching an Introductory Statistics Course

1.1 Issues

2 Method of Implementation

2.1 ChatGPT as a More Capable Peer

2.2 Hypothesis Testing

2.3 Alternate Hypothesis

3 Instructor and Student Sentiments

Application of Artificial Intelligence in Mental Healthcare: Generative Pre-trained Transformer 3 (GPT-3) and Cognitive Distortions

2 Process and Methods

2.1 Methods

2.2 Back Logic: GPT

2.3 User Interface

3 Results

3.1 GPT-3

4 Psychological Testing

4.1 Attrition

4.2 Use

5.1 Limitations

5.2 Further Research

Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model

1.1 Addressing Health Disparities Through AI Models: An Important Issue

2 Literature Review

2.1 Understanding Health Disparities through AI: Previous Studies

3 Methodology

References.

Gaussian-Kernel Neutrosophic C-Means Clustering

2 Related Works

3 The Proposed GK-NCM Clustering Algorithm

4 Comparisons and Experimental Results

Biologically Inspired Multi-carrier Autoencoder Architectures for Communications

3 New Autoencoder Architecture

4 Numerical Results and Discussion

4.1 Single-Carrier

4.2 Multi-carrier

5 Summary and Conclusions

MF-SET: A Multitask Learning Framework for Student Evaluation of Teaching

2 Task Description

2.1 Task 1

2.2 Task 2

4 Dataset

4.1 Data Annotation and Guidelines

5 Methodology

5.1 Pre-processing

5.2 Features

5.3 Setup and Classifiers

5.4 Evaluation

6 Results and Discussion

7 Conclusion

Sustainable AI - Standards, Current Practices and Recommendations

2 Sustainable AI

3 Case Study Observations

3.1 AI Using Natural Language Processing

3.2 AI Using Large Language Models (LLMs) and Deep Learning

3.3 AI Using Computer Vision and Facial Recognition

3.4 Climate Analytics Using AI

4 Challenges in Sustainable AI

5 Emerging Methodologies and Standards for Sustainable AI

6 Recommendations

7 Reference Architecture for Implementing Sustainable AI with AI Governance

8 Conclusion and Future Work

Validating a New Collective Intelligence Technology for Accurate Ranking Using Artificial Swarm Intelligence

2 Method

2.1 The HyperRank Testbed

2.2 Probabilistic Rank Aggregation

2.3 Calculating the Collective Ranking

2.4 Study

2.5 Grading

3.1 Rank Improvement by Question

3.2 Time Analysis

4 Conclusions

FazBoard: An AI-Educational Hybrid Teaching and Learning System.

1 Introduction.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Arai, Kohei Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1

ISBN:

3-031-47454-6