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On the Way to Realize the 5thIndustrial Revolution: Achievements, Challenges and Research Areas 36

On the Way to Realize the 5thIndustrial Revolution: Achievem...

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36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023

作者： Dimirakopoulos, George Gutt, Thomas Ehm, Hans Hoess, Alfred Karathanasopoulou, Konstantina Lackner, Anna Schneider, Germar Harokopio Univesity of Athens Dept. of Informatics and Telematics Athens Greece Infineon Technologies A.G. Munich Germany University of Applied Sciences Amberg-Weiden Dept. of Electrical Engineering Media and Computer Science Amberg Germany Eesy-innovation GmbH Unterhaching Germany Infineon Technologies Dresden GmbH&Co.KG Dresden Germany

ISBN: (纸本)9781665477161

The industrial world is rapidly moving towards its 5th industrial revolution (a.k.a. 'Industry5.0'). Industry5.0 is reflected on the digital sovereignty in comprehensively sustainable production, through adopting, extending and implementing A I-enabled hardware, as well as A I tools & methods and semiconductors technology across the whole industrial value chain. It is expected that in doing so, manufacturing costs will be decreased, while at the same time, product quality will be increased through AI-enabled innovation, time-to-market will be shortened and user acceptance of versatile technology offerings will be achieved and global supply chains stabilized. The above will, in turn, foster a sustainable development, in an economical, ecological and societal sense and act as enablers for the Green Deal. This paper accordingly discusses on the fundamental research areas relevant to further advancing the digitalized industry, its research and development achievements so far, as well as the challenges confronted, in order to boost industrial competitiveness through interdisciplinary innovations, establishing sustainable value chains and therefore contribute to the Digital Sovereignty. © 2023 IEEE.

关键词： Sustainable development

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Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Media

Unconventional Computing based on Four Wave Mixing in Highly...

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Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Kostas Sozos Stavros Deligiannidis Charis Mesaritakis Adonis Bogris Dept. of Informatics and Computer Engineering. Aghiou Spiridonos University of West Attica Egaleo Athens Greece Dept. of Information and Communication Systems Engineering University of the Aegean Karlovassi Samos Greece

ISBN: (纸本)9798350345995

Nowadays, photonic analog computing in the form of neuromorphic photonics or photonic neural networks has resulted in powerful hardware platforms that accelerate difficult tasks with marginal power consumption. Although linear transformations are efficiently carried out in the optical domain, nonlinear transformations are also of paramount importance. Here, we propose four wave mixing (FWM) process as an elegant solution for the generation of diverse nonlinear higher order products of an original signal. On one hand, these products can act as activation functions in different types of neural networks, either recurrent neural networks (RNNs) and reservoir computers or in any other type of brain-inspired frameworks. On the other hand, the same products can form the basis for polynomial regression which is a very powerful technique used in machine learning in different tasks i.e. for the prediction of COVID-19 transmission [1].

关键词： Four wave mixing Machine learning Neural networks Nonlinear wave mixing Optical computing Quantum computation

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Pose-free visual servoing from 3D measurements

Pose-free visual servoing from 3D measurements

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European Control Conference (ECC)

作者： Adrian Burlacu Radu L. Rosca Andrei I. Iancu Enric Cervera Dept. of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Romania Dept. of Computer Science and Engineering Jaume I University Spain

In this paper, a novel approach to visual servo control robotic systems is proposed. It is focused on developing a solution using 3D point features without recovering the rigid object’s pose. Pose-free motion is achieved using motion parameterization techniques based on dual numbers and dual vectors. Considering an imposed velocity field over the motion of the 3D point features ensemble, this work proposes a close-form solution to a visual servoing problem. The solution provides stable motion control while preserving the image features in the field of view. However, when some point features leave the field of view, their contribution to the control law is dropped without losing stability. The proposed solution is easy to tune and implement. Various scenarios are used in simulations and real experiments to show how the proposed solution overcomes classic servoing problems.

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Interactive Educational Game Development Using Modified Single Stage Detector

Interactive Educational Game Development Using Modified Sing...

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International computer Science and engineering Conference (ICSEC)

作者： Kristiawan Dwi Usmanto Nova Eka Budiyanta Eko Mulyanto Yuniarno Cyprianus Kuntoro Adi Dept. of Informatics Universitas Sanata Dharma Yogyakarta Indonesia Dept. of Electrical Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept. of Electrical Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Dept. of Computer Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350366860

ISBN: (纸本)9798350366877

This research develops a real-time hand gesture detection system using the You Only Look Once (YOLO) algorithm for simple math learning applications aimed at children with special needs. This application is a simple drag and drop game using hand gesture indicators. The system utilizes computer vision and deep learning technology to recognize hand gestures in videos which are then converted into interactive inputs in learning media. System testing involves hyperparameter tuning methods, including learning rate, image size, and momentum adjustments. The test results show that the YOLO algorithm with hyperparameter tuning method with hyperparameter values of learning rate 0.0001, image size 320, and momentum 0.937 is effective in detecting hand gestures with an mAP@0.5: 0. 95 score of 93.27%. The test results provide the potential for using a real-time hand gesture detection system as an interesting and interactive learning method for children with disabilities, especially for those who have limitations in communication.

关键词： YOLO Training Learning systems System testing Games Detectors Media Real-time systems Tuning Videos

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SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks

SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Anestis Dalgkitsis Luis A. Garrido Kostas Ramantas John S. Vardakas George Kormetzas Christos Verikoukis Iquadrat Informatica S.L. Barcelona Spain Information and Communication Systems Engineering Dept. University of the Aegean Samos Greece Computer Engineering & Informatics Dept. University of Patras Greece

Network Virtualization (NV) has proved a promising technology that allows multiple heterogeneous Virtual Networks (VNs) to operate simultaneously on the same infrastructure. Dynamic Virtual Network Embedding (NVE) has emerged as an enabler of elasticity and scalability in the VN deployment and resource allocation of the physical infrastructure. However, the key challenge in realizing NV in a sustainable way is how to dynamically embed VNs efficiently into physical network, which is defined as the VNE problem. To address this challenge, this paper proposes an approach that leverages Multi-Agent Reinforcement Learning (MARL) to solve the dynamic VNE of VNs for 5G/6G communication systems. The proposed framework consists of multiple horizontally distributed RL agents that co-operate to devise temporally dynamic VNE placements. The key contributions of this work are introducing a novel dynamic VNE orchestration framework for multi-domain networks based on Distributed RL, providing a scalable VNE framework targeted to Ultra-Reliable Low-Latency Communication (URLLC) services, evaluating and comparing the proposed algorithm with existing solutions in the state of the art. The paper concludes that there is a significant improvement in latency of 144.191% when compared to the baselines.

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Sentiment Analysis for Curriculum of Independent Learning Based on Naïve Bayes with Laplace Estimator

Sentiment Analysis for Curriculum of Independent Learning Ba...

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Information Technology Research and Innovation (ICITRI), International Conference on

作者： Amelia Ariefah Widodo Murien Nugraheni Dept. of Informatics and Computer Engineering Education State University of Jakarta Jakarta Indonesia Dept. of Information System and Technology State University of Jakarta Jakarta Indonesia

Curriculum changes have a significant impact on the field of education in Indonesia, especially in universities. This is because the curriculum is used as a means to achieve the goals of educational success as well as guidelines in the implementation of teaching at every level of education. This study aims to determine public sentiment regarding the implementation curriculum of independent learning (MBKM) through Twitter based on Naïve Bayes with Laplace Estimator. Tweet search results use the keywords “kurikulum mbkm” and “mbkm”. The data used in this study amounted to 2500 tweet data which will be divided into 2000 data as training data with details of 1000 positive tweets and 1000 negative tweets and 500 data as testing data. The results showed the performance of Naïve Bayes using Laplace Estimator which resulted in an accuracy value of 80.20%, precision value of 82.00%, and recall value of 79.00%. Meanwhile, the performance of Naïve Bayes without Laplace Estimator resulted in an accuracy value of 77.00%, precision value of 80.00%, and recall value of 74.00%. Naive Bayes with Laplace Estimator reached the highest value in all metrics.

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Gendering Robots in Human-Robot Interaction: An Interdisciplinary Approach 25

Gendering Robots in Human-Robot Interaction: An Interdiscipl...

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ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： Neziha Akalin Maria Arnelid Katherine Harrison Dept. of Computer Science and Informatics School of Engineering Jönköping University Jönköping Sweden Dept. of Thematic Studies Unit of Gender Studies Linköping University Linköping Sweden

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

This paper emphasizes the importance of interdisciplinary collaboration in exploring the concept of robot gender within Human-Robot Interaction (HRI). It draws on a case study of the authors' own collaboration, where interdisciplinary discussions on the nature of gender informed the design of a multimethod study. This approach allowed us to avoid assigning a binary gender to Pepper robot, while still encouraging participants to reflect on their own gendering practices during interactions with robots. Additionally, we invite readers to consider alternative ways of conceptualizing robot gender in HRI—specifically, as fluid and performative rather than binary, which relies on stereotypical cues. After describing how our discussions on gender influenced and reshaped the study design, we offer practical advice on fostering interdisciplinary collaborations. These suggestions focus on communication strategies, mindset, and the practical setup of collaborative studies. We hope that these recommendations will inspire other researchers to continue exploring new and interdisciplinary ways of approaching robot gender in HRI.

关键词： Fluids Buildings Human-robot interaction Collaboration Medical services Robots

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Gendering Robots in Human-Robot Interaction: An Interdisciplinary Approach 20

Gendering Robots in Human-Robot Interaction: An Interdiscipl...

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20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025

作者： Akalin, Neziha Arnelid, Maria Harrison, Katherine School of Engineering Jönköping University Dept. of Computer Science and Informatics Jönköping Sweden Linköping University Unit of Gender Studies Dept. of Thematic Studies Linköping Sweden

ISBN: (纸本)9798350378931

This paper emphasizes the importance of interdisciplinary collaboration in exploring the concept of robot gender within Human-Robot Interaction (HRI). It draws on a case study of the authors' own collaboration, where interdisciplinary discussions on the nature of gender informed the design of a multimethod study. This approach allowed us to avoid assigning a binary gender to Pepper robot, while still encouraging participants to reflect on their own gendering practices during interactions with robots. Additionally, we invite readers to consider alternative ways of conceptualizing robot gender in HRI - specifically, as fluid and performative rather than binary, which relies on stereotypical cues. After describing how our discussions on gender influenced and reshaped the study design, we offer practical advice on fostering interdisciplinary collaborations. These suggestions focus on communication strategies, mindset, and the practical setup of collaborative studies. We hope that these recommendations will inspire other researchers to continue exploring new and interdisciplinary ways of approaching robot gender in HRI. © 2025 IEEE.

关键词： Social robots

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Challenges in Implementing ICT Rehabilitation Environments in Real Clinical Practice 8

Challenges in Implementing ICT Rehabilitation Environments i...

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8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024

作者： Tibollo, Valentina Sacchi, Lucia Malovini, Alberto Giardini, Anna D'Addio, Giovanni Lunetta, Christian Istituti Clinici Scientifici Maugeri Irccs Laboratory of Medical Informatics and Artificial Intelligence Pavia Italy University of Pavia Dept of Electrical Computer and Biomedical Engineering Pavia Italy Istituti Clinici Scientifici Maugeri Irccs Information Technology Department Pavia Italy Bioengineering Unit Istituti Clinici Scientifici Maugeri Irccs Pavia Italy Istituti Clinici Scientifici Maugeri Irccs Dept of Rehabilitative Neurology Department Pavia Italy

ISBN: (纸本)9798350362138

Fit for Medical Robotics funded under the National Recovery and Resilience Plan, aims to transform current rehabilitation and assistive models for individuals of all ages with impaired motor, sensory, or cognitive functions. The project seeks to achieve this through the implementation of innovative biorobotic technologies and related digital solutions, alongside new continuum of care paradigms. A key element is the full exploitation of information and communication technology (ICT) across all stages of rehabilitation, ranging from prevention to at-home care during the chronic phase. Within this framework, it is crucial to assess the potentialities, challenges, and potential barriers associated with integrating interventions based on advanced technologies into real-world rehabilitation practices. © 2024 IEEE.

关键词： ICT interoperability rehabilitation research data management

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Crossover Methods Comparison in Flood Evacuation Route Optimization

Crossover Methods Comparison in Flood Evacuation Route Optim...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： M. Adnan Nur Hazriani Nur Khaerat Nur Dept. of Informatics Handayani University Makassar Indonesia Dept. of Computer System Handayani University Makassar Indonesia Dept. of Civil Engineering Fajar University Makassar Indonesia

This study aims to implement the genetic algorithm by testing the appropriate crossover methods in order to obtain optimal disaster evacuation routes based three main indicators, namely travel time, possible transportation mode, and affected road conditions. The research phase begins with establishing a flood-affected area scenario consisting of the victim's initial location, evacuation location, routing areas, affected road conditions, distance, as well as travel time. The genetic algorithm is applied by representing the genes and chromosomes based on the available data, generating the initial population and calculating the fitness value. At the stage of determining the parent in forming a new individual, roulette wheel selection is used. For the crossover method to produce new individuals, there are 3 methods tested namely single-point, two-point and uniform crossover. The new formed individuals are then mutated with a probability level of 0.1. The last stage is to form a new population by sorting individuals with the highest fitness value. These processes took place with an iteration limit of 1000. Based on the results of the implementation and tests conducted, the uniform crossover method has the most optimal results with accuracy 90% and highest fitness value of 0.896. Meanwhile, the two others methods two-point and single-point have extremely lower accuracy which are 70% and 60% respectively. This result confirmed the statement of previous research which convinced that the uniform crossover is the most effective crossover method.

关键词： Roads Sociology Wheels Transportation Routing Floods Statistics

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