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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Bobeica, Valentin Popescu, Dan Angelescu, Nicoleta Ichim, Loretta National University of Science and Technology Politehnica Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania

ISBN: (纸本)9798331540388

This paper details the integration of augmented reality (AR) in a new factory, focusing on enhancing maintenance efficiency and optimization. The innovative approach involves combining AR technology, an Android application, and Siemens PLCs (Programmable Logic controller), for efficient automation. The robustness of the PLC enables seamless integration within manufacturing environments, accommodating diverse programming paradigms. The software aspect features Human Machine Interface (HMI) configuration using Siemens' WinCC software, offering dynamic visualizations, alarm handling, and data logging. WinCC's scalability suits applications of varying sizes. The HMI architecture is designed for easy parameter display. The Android application, developed with Java and Python, leverages their respective strengths in Android app development and image processing. Data exchange is facilitated by OPC-UA, supporting multiple programming languages for seamless communication. The AR Teleassistance is highlighted as a revolutionary solution, fostering real-Time communication among global experts, technicians, and operators. Beyond gaming origins, AR teleassistance enhances efficiency in various sectors, minimizing downtime and facilitating global knowledge transfer. The integration of Teleassistance promotes effective collaboration between human expertise and automated systems, crucial for optimal performance in modern industrial settings. Continuous development is suggested through the addition of more 3D mechanical drawings and real-Time stock information for parts in the application, aiming for future optimization and performance enhancement. © 2024 IEEE.

关键词： augmented reality data exchange global knowledge image processing manufacturing environment production processes smart industrial

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Interoperability Framework for Cyber-Physical Systems Based Capabilities 24

Interoperability Framework for Cyber-Physical Systems Based ...

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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Pop, Eugen Iliuta, Miruna-Elena Constantin, Nicolae Gifu, Daniela Dumitrascu, Alexandru University 'Politehnica' of Bucharest Faculty of Automatic Control and Computers Romania Institute of Computer Science Romanian Academy Iasi - Branch Romania

ISBN: (纸本)9798350313390

Cyber-Physical Systems represent digital systems based mainly on the interconnection between the physical world and cyberspace. Physical processes are controlled and monitored through networked computers. Feedback loops between the physical and computing environment are involved, including sensors and actuators. Thus, the CPS design involves the analysis of the interrelated dynamical physical processes, computation resources, networks, and software. CPS is application-oriented, by its nature so the necessity of available services composition appears frequently. The CPS services, resources and capabilities can be placed at the system and node level. In this context, the Communication Cost is an important performance criteria for accessing their resources, even in a composite form. In this paper an interoperability framework, for Cyber-Physical Systems capabilities, using REST and SOAP web services is presented. The interoperability capabilities of the framework are ensured by both of the convergence of IP and non-IP networks for services access and by the services composition facilities. For a scenario of multiuser access at the composed services, the interoperability framework response time is evaluated, because it brings an important contribution in the determination of Communications Cost, in a QoS approach. © 2023 IEEE.

关键词： Web services

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On the Application of Robust Mean Shift Procedure for the Enhancement of Noisy Color Images 10

On the Application of Robust Mean Shift Procedure for the En...

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10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Kusnik, Damian Smolka, Bogdan Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Image corruption due to noise disturbances severely decreases color image quality and therefore image enhancement is a vital step of the processing pipeline. Our approach modifies the standard Mean-Shift technique, so that the algorithm is able to work directly on noisy color images and offers very satisfying denoising results. The proposed Robust Mean-Shift is resistant to the mixed Gaussian and impulsive noise and can be used in various practical imaging tasks. The described technique has been validated on a database containing a variety of color images contaminated with various noise intensity levels and the obtained results show that it significantly excels the classical Mean-Shift algorithm. Image noise is to large extent suppressed, edges are sharpened and details are retained which enables the improvement of the image segmentation process. © 2022 IEEE.

关键词： Image denoising

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Evaluating the usage of Text to3D scene generation methods in Game-Based Learning 24

Evaluating the usage of Text to3D scene generation methods i...

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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Gradinaru, Alexandru Vrejoiu, Mihnea Moldoveanu, Florica Balutoiu, Maria-Anca University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania National Institute for Research and Development in Informatics Bucharest Romania

ISBN: (纸本)9798350313390

computer games as an educational tool significantly improved information retention, student involvement, and motivation. Despite the growing popularity and the demonstrated positive impact, little progress is made to let educators create games without learning game programming or investing massive amounts of time, money, and human resources. This paper considers the usage of procedural content generation in simplifying the generation of game environments. Given that most educational material is in text format, we evaluate the possibility of generating 3D scenes starting from natural language text. A comprehensive survey of the current methods is presented, analyzing whether they can be successfully used in game-based learning. The study discusses several current limitations and possible improvements, highlighting a need for better progress in the domain. © 2023 IEEE.

关键词： computer games

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The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models

arXiv

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arXiv 2024年

作者： Catruna, Andy Cosma, Adrian Radoi, Emilian Faculty of Automatic Control and Computer Science POLITEHNICA Bucharest Romania

Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the prevailing assumption that vision-based gait recognition, in particular skeleton-based gait recognition, relies primarily on motion patterns, revealing a significant role of the implicit anthropometric information encoded in the walking sequence. We show through a comparative analysis that removing height information leads to notable performance degradation across three models and two benchmarks (CASIA-B and GREW). Furthermore, we propose a spatial transformer model processing individual poses, disregarding any temporal information, which achieves unreasonably good accuracy, emphasizing the bias towards appearance information and indicating spurious correlations in existing benchmarks. These findings underscore the need for a nuanced understanding of the interplay between motion and appearance in vision-based gait recognition, prompting a reevaluation of the methodological assumptions in this field. Our experiments indicate that"in-the-wild" datasets are less prone to spurious correlations, prompting the need for more diverse and large scale datasets for advancing the field. © 2024, CC BY-NC-ND.

关键词： Large datasets

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CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild

arXiv

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arXiv 2024年

作者： Catruna, Andy Cosma, Adrian Radoi, Emilian Faculty of Automatic Control and Computer Science POLITEHNICA Bucharest Romania

Gaze estimation, the task of predicting where an individual is looking, is a critical task with direct applications in areas such as human-computer interaction and virtual reality. Estimating the direction of looking in unconstrained environments is difficult, due to the many factors that can obscure the face and eye regions. In this work we propose CrossGaze, a strong baseline for gaze estimation, that leverages recent developments in computer vision architectures and attention-based modules. Unlike previous approaches, our method does not require a specialized architecture, utilizing already established models that we integrate in our architecture and adapt for the task of 3D gaze estimation. This approach allows for seamless updates to the architecture as any module can be replaced with more powerful feature extractors. On the Gaze360 benchmark, our model surpasses several state-of-the-art methods, achieving a mean angular error of 9.94◦. Our proposed model serves as a strong foundation for future research and development in gaze estimation, paving the way for practical and accurate gaze prediction in real-world scenarios. © 2024, CC BY-NC-ND.

关键词： Virtual reality

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Analysis of time management models in AGV wireless communication

Analysis of time management models in AGV wireless communica...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Rukkas, Kirill Gaj, Piotr Karazin Kharkov National University School of Mathematics and Computer Sciences Kharkov Ukraine Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland

ISBN: (纸本)9798350324457

automatic guided vehicles are increasingly used in factories. It is obvious that wireless communication with this type of devices is necessary. By default, transmissions are not based on time-deterministic behavior. However, as communication requirements increase, especially for collaborative functions and the need to exchange large and diverse data sets, on-board and off-board systems must be connected directly. This results in time constraints requirements coming from a given direct connection. The article presents and compares the concept and models of traffic management based on time division and access control methods. The created models can be useful for calculating the time characteristics of information delivery and thus for designing communication systems. © 2023 IEEE.

关键词： access control AGV mathematical model TDM Wi-Fi wireless networks

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Optimizing Artificial Neural Networks Trough Weight Adjustments

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Procedia computer Science 2024年 246卷 2158-2165页

作者： Syed Muhammad Abrar Akber Agnieszka Szczesna Sadia Nishat Kazmi Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice 44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice 44-100 Poland

Longer training times pose a significant challenge in Artificial neural networks (ANNs) as it may leads to increasing the computational costs and decreasing the effectiveness of the model. Therefore, it is imperative to reduce training times in ANNs to enhance the computational efficiency. The initialization of the weights between the layers in ANN plays a vital role in reducing training times. Appropriate weight initialization can help the network converge faster during the training by providing an optimum starting point for the network. Therefore, weight initialization techniques are essential for efficient training of ANNs. This paper revisits and implements different popular weight initialization techniques in ANNs and analyzes their impact on training time. Specifically, this paper implements Gaussian-based, Kaming-based, and Xavier-based weight initiation atop a popular DNN-based network. The experiments are conducted by employing a well-known dataset. The results show that the scenario when no weight initiation is applied consumed the highest training time, whereas different weight initiation techniques contribute in reducing the training times for the network.

关键词： Artificial neural network Deep neural network weight initiation

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Security Issues in Software-Defined Networking (SDN) Environments 23

Security Issues in Software-Defined Networking (SDN) Environ...

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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Yalda, Khirota Gorgees Hamad, Diyar Jamal Tapus, Nicolae Okumus, Ibrahim Taner Politehnica University of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Erbil Polytechnic University Kurdistan Region IT Department Soran Technical College Erbil Iraq Kahramanmaras Sutcu Imam University Kahramanmaras Computer Engineering Faculty of Engineering Turkey

ISBN: (纸本)9798331540388

Software-Defined Networking (SDN) represents a significant shift in network architecture, providing exceptional programmability, flexibility, and simplified management. However, this paradigm shift introduces a unique set of security challenges that must be addressed to fully realize the potential of SDN. This paper examines the security issues in SDN environments, detailing the threats and vulnerabilities at various layers of the SDN architecture, including the control plane, data plane, and application plane. Through an extensive review of current literature, critical security challenges such as controller attacks, data plane breaches, and vulnerabilities in inter-plane communications are identified. Existing security solutions and mitigation strategies, such as authentication and authorization mechanisms, encryption techniques, and intrusion detection systems, are also explored. Furthermore, the paper discusses recent advances and emerging trends in SDN security, offering insights into ongoing research and future directions. The findings underscore the importance of robust security measures in ensuring the reliability and integrity of SDN deployments, providing a foundation for future innovation and development in this dynamic field. © 2024 IEEE.

关键词： Network intrusion

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Biological Influence of Low-Frequency Electromagnetic Field Exposition Based on Selected Cell Death Markers 15

Biological Influence of Low-Frequency Electromagnetic Field ...

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15th International Conference Elektro, ELEKTRO 2024

作者： Cichorowski, Robert Kocikowska, Olga Bajtos, Marek Radil, Roman Janousek, Ladislav De Carrillo, Daria Gendosz Student, Sebastian Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Faculty of Automatic Control Electronics and Computer Science Department of Engineering and Systems Biology Gliwice Poland Silesian University of Medicine Faculty of Medical Sciences Department of Physiology Katowice Poland Faculty of Electrical Engineering and Informational Technology Department of Electromagnetic and Biomedical Engineering Žilina Slovakia Silesian University of Medicine Faculty of Medical Sciences in Zabrze Department of Histology Zabrze Poland Silesian University of Technology Biotechnology Center Gliwice Poland

ISBN: (纸本)9798350372359

This work presents the results of the examination of the HeLa cell line exposure on the ELF-EMF (extremely low-frequency electromagnetic field). In particular, the relationship between ELF-EMF exposition time and cell death. The examination of cell death hallmarks were examined by estimation levels of selected proteins - FACL4 (a protein that is a part of the ferroptosis pathway) and CK18 (Cytokeratin related to necrosis and apoptosis pathways) in the proposed model of workers exposed to ELF-EMF week. © 2024 IEEE.

关键词： Electromagnetic fields

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