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

• Pubblicazione: Cham, Switzerland : , : Springer, , 2023; ©2023
• Edizione: First edition.
• Descrizione fisica: 1 online resource (638 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence - Technological innovations; Computer science - Technological innovations; Computer vision; Robotics - Technological innovations
• Persona (resp. second.): AraiKohei
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 -- 1 Introduction -- 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 -- References -- Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality -- 1 Introduction -- 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 -- References -- Robot Manipulator Applied to Bottle Filling Processes: An Approach in the Teaching-Learning Process -- 1 Introduction -- 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 -- References -- Meaningful Learning Processes of Service Robots Through Virtual Environments -- 1 Introduction -- 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 -- References -- On the Development of a Reconfigurable Platform for the Control of Multiple Collaborative Robots from a Software Engineering Perspective -- 1 Introduction -- 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 -- References -- Optimizing Electric Power Efficiency in Power-Assisted Human-Robot Collaborative Manipulation of Objects -- 1 Introduction -- 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 -- References -- Harnessing Sheaf Theory for Enhanced Air Quality Monitoring: Overcoming Conventional Limitations with Topology-Inspired Self-correcting Algorithm -- 1 Introduction -- 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 -- References -- Digital Twin of Wind Generator to Simulate Different Turbine Characteristics Using IoT -- 1 Introduction -- 2 Methodology and Results -- 2.1 Data Acquisition Setup -- 2.2 Drive Control Setup -- 3 Discussion and Conclusion -- 4 Future Work -- References -- Development of Raspberry Pi-Based IoT Landslide Monitoring System -- 1 Introduction -- 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 -- References -- Sovereign Individual System (SIS): An Autonomous Digital Platform for Sovereign Individuals -- 1 Introduction -- 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 -- 5 Conclusion -- References -- Moved by B*Bots: Speculative Toy Fiction and Play with Future IoToys -- 1 Introduction -- 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 -- 6 Conclusions -- References -- Phishing Faster: Implementing ChatGPT into Phishing Campaigns -- 1 Introduction -- 2 Related Work -- 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 -- 5 Conclusions -- 6 Future Work -- References -- 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 -- References -- A Use-Case for Implementing ChatGPT to Augment Teaching an Introductory Statistics Course -- 1 Introduction -- 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 -- 4 Conclusion -- References -- Application of Artificial Intelligence in Mental Healthcare: Generative Pre-trained Transformer 3 (GPT-3) and Cognitive Distortions -- 1 Introduction -- 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 Discussion -- 5.1 Limitations -- 5.2 Further Research -- References -- Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model -- 1 Introduction -- 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 -- 4 Results -- 5 Discussion -- 6 Conclusions -- References. ; Gaussian-Kernel Neutrosophic C-Means Clustering -- 1 Introduction -- 2 Related Works -- 3 The Proposed GK-NCM Clustering Algorithm -- 4 Comparisons and Experimental Results -- 5 Conclusions -- References -- Biologically Inspired Multi-carrier Autoencoder Architectures for Communications -- 1 Introduction -- 2 Background -- 3 New Autoencoder Architecture -- 4 Numerical Results and Discussion -- 4.1 Single-Carrier -- 4.2 Multi-carrier -- 5 Summary and Conclusions -- References -- MF-SET: A Multitask Learning Framework for Student Evaluation of Teaching -- 1 Introduction -- 2 Task Description -- 2.1 Task 1 -- 2.2 Task 2 -- 3 Literature Review -- 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 -- References -- Sustainable AI - Standards, Current Practices and Recommendations -- 1 Introduction -- 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 -- References -- Validating a New Collective Intelligence Technology for Accurate Ranking Using Artificial Swarm Intelligence -- 1 Introduction -- 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 Results -- 3.1 Rank Improvement by Question -- 3.2 Time Analysis -- 4 Conclusions -- References -- FazBoard: An AI-Educational Hybrid Teaching and Learning System. ; 1 Introduction.
• Titolo autorizzato: Proceedings of the Future Technologies Conference (FTC) 2023
• ISBN: 3-031-47454-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910760265003321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems Series