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IFIP Networking Conference

作者： Agnieszka Chodorek Robert R. Chodorek Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland Department of Telecommunications The AGH University of Science and Technology Kraków Poland

ISBN: (数字)9783903176287

ISBN: (纸本)9781728167107

The state of network paths is of great importance for the quality and reliability of the transmission of information coming from the IoT devices. Changing network conditions cause the state of a single path to be highly unpredictable, especially when large-scale IoT networks, connecting thousands of specialized devices, are in use. The solution to this problem is to perform trials in a real environment, with the use of real hardware. The rationalization of the design, the implementation and the exploitation of the process will be the main benefit of this approach. In this demonstration, a testbed infrastructure for the estimation of the state of path parameters in wired and wireless networks is presented. The estimation is based mainly on active measurements performed with the use of the Probing Packet Trains method. The key elements of the testbed infrastructure are locally and remotely controlled energy-efficient single-board computers, working under the control of the Linux operating system, which are equipped with software able to track (in manual or automatic mode) changing conditions of a given transmission path.

关键词： Estimation Internet of Things Monitoring Performance evaluation Servers Manuals Bandwidth

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Chattering-free fixed-time sliding mode control for bilateral teleoperation under unknown time-varying delay via disturbance and state observers

Advanced Control for Applications: Engineering and Industria...

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Advanced control for Applications: engineering and Industrial Systems 2020年第4期2卷

作者： Abadi, Ali Soltani Sharif Hosseinabadi, Pooyan Alinaghi Mekhilef, Saad Ordys, Andrzej Department of Electrical Engineering Faculty of Engineering Yazd University Yazd Iran Faculty of Engineering University of Malaya Kuala Lumpur Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Melbourne Australia Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz University Jeddah Saudi Arabia The Institute of Automatic Control and Robotics Faculty of Mechatronics Warsaw University of Technology Warsaw Poland

This paper proposes a new chattering-free Fixed-time Observer-Based Sliding Mode control (FOBSMC) scheme for synchronization of two bilateral teleoperations under unknown time-varying delay. The system is subjected to unknown disturbances which are estimated in a fixed time by utilizing the Disturbance Observer-based SMC scheme. The fixed-time State Observer-based SMC is designed to estimate the unmeasured velocity state, while the position state is assumed to be available. Fixed-time stability method is used to provide the system convergence time independently of initial states. A FOBSMC scheme is first designed for master system of bilateral teleoperation under unknown time-varying delay to track the environmental torque by the human operating torque in the presence of time delay in the communication channel, as well as estimating the unknown disturbances and unmeasured states. A FOBSMC scheme is designed to synchronize slave system to master system in the presence of time delay in the communication channel, as well as estimating disturbances and states. The stability analysis is performed for closed-loop system of combined controller-observer by using Lyapunov theory. The efficacy of the proposed method to fulfill a good transparency and stability under time-varying communication delays is tested by performing numerical simulation in Simulink/MATLAB. © 2020 John Wiley & Sons Ltd.

关键词： Time delay

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KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation

arXiv

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arXiv 2021年

作者： Khiarak, Jalil Nourmohammadi Nasab, Samaneh Salehi Jaryani, Farhang Moafinejad, Seyed Naeim Pourmohamad, Rana Amini, Yasin Noshad, Morteza Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland School of Engineering Lorestan University Aleshtar Campus Aleshtar Iran Faculty of Engineering Arak University Arak Iran Department of Physics Shahid Beheshti University Tehran Iran School of Computing Informatics and Decision Systems Engineering Arizona State University AZ United States Faculty of Electrical and Computer Engineering University of Kharazmi Iran Stanford University Stanford United States

Iris segmentation and localization in unconstrained environments is challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. To address this problem, we present a U-Net with a pre-trained MobileNetV2 deep neural network method. We employ the pre-trained weights given with MobileNetV2 for the ImageNet dataset and fine-tune it on the iris recognition and localization domain. Further, we have introduced a new dataset, called KartalOl, to better evaluate detectors in iris recognition scenarios. To provide domain adaptation, we fine-tune the MobileNetV2 model on the provided data for NIR-ISL 2021 from the CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa and our dataset. We also augment the data by performing left-right flips, rotation, zoom, and brightness. We chose the binarization threshold for the binary masks by iterating over the images in the provided dataset. The proposed method is tested and trained in CASIA-Iris-Asia, CASIA-Iris-M1, CASIA-Iris-Africa, along the KartalOl dataset. The experimental results highlight that our method surpasses state-of-the-art methods on mobile-based benchmarks. The codes and evaluation results are publicly available at https://***/Jalilnkh/KartalOl-NIR-ISL2021031301. Copyright © 2021, The Authors. All rights reserved.

关键词： Deep neural networks

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A spectral small-gain condition for input-to-state stability of infinite networks

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IFAC-PapersOnLine 2020年第2期53卷 5303-5308页

作者： Christoph Kawan Andrii Mironchenko Abdalla Swikir Navid Noroozi Majid Zamani Institute of Informatics Ludwig Maximilian University Munich Germany Faculty of Computer Science and Mathematics University of Passau Germany Department of Electrical and Computer Engineering Technical University of Munich Germany Otto-von-Guericke University Magdeburg Laboratory for Systems Theory and Automatic Control Germany Computer Science Department University of Colorado Boulder USA

This paper presents a tight small-gain theorem for networks composed of infinitely many finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains, has a spectral radius less than one, the overall infinite network is exponentially input-to-state stable. We illustrate the effectiveness of our result by applying it to traffic networks.

关键词： Nonlinear systems small-gain theorems infinite-dimensional systems input-to-state stability Lyapunov methods large-scale systems

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The Use of Symmetrical Angle Switched Single- & 3-Phase Rectifiers in Micro Hydro Power Plants

The Use of Symmetrical Angle Switched Single- & 3-Phase Rect...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Henry Bory-Prevez Herminio Martínez-García Luís Vázquez-Seisdedos Encarna García-Vílchez Antoni Grau-Saldes Automatic Control Dept. Electrical Engineering Faculty University of Oriente Santiago de Cuba Cuba Electronics Engineering Department Eastern Barcelona School of Engineering (EEBE) Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain Automatic Control Dept. Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Micro-size hydro power plants (μHPPs) are commonly used at remote areas to supply islanded AC micro-grids. A typical way to control grid frequency is to manipulate active power dissipated in ballast loads by AC/AC converters. However, these asymmetrically switched thyristor controlled converters consume reactive power degrading the power factor at the generator output. In this paper the operation of a symmetric angle switched, bridged three-phase rectifier and three single-phase rectifiers connected in series with ballast load, are studied to improve the power factor of the system. As a consequence, the objective is to evaluated the use of the three and single-phase rectifiers switched with symmetrical angle to improve the power factor, by reactive power compensation, at the output terminal of the electric generator of μHPPs that use ballast load to regulate frequency.

关键词：

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Innovative Internet of Things-reinforced Human Recognition for Human-Machine Interaction Purposes

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IFAC-PapersOnLine 2018年第6期51卷 138-143页

作者： Gardecki, Arkadiusz Podpora, Michal Kawala-Janik, Aleksandra Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Poland Weegree Sp. z o.o. S.K. Poland

Accurate and reliable human recognition and parametrisation have always been an important challenge in efficient Man-Machine Interaction. A humanoid robot is able to offer a much richer and more natural behaviour and human-like communication, but only if the robot possesses sufficient knowledge about the interlocutor, such as inter alia: gender, age, mood, behaviour data, interaction history. In this paper authors introduced an innovative conception in Human-Machine Interaction, where instead of thinking about an interaction as an event (which uses and produces information) an innovative point of view was proposed, where the interaction is just an event in a continuous flow of information. The difference, once perceived, results in an astounding change of conception, as well as a whole new set of ideas. The human detection, information acquisition, human recognition – can be performed earlier, before a human reaches the humanoid robot, also the history of interactions and possible interests of the interlocutor can be predicted before they would even start the conversation. This paper contains a detailed analysis of the proposed environment-based approach to interaction, as well as the Internet of Things-reinforced information acquisition. © 2018

关键词： Human robot interaction Anthropomorphic robots Behavioral research Human computer interaction Internet of things Man machine systems Reinforcement Continuous flows Human identification Human machine interaction Human recognition Humanoid robot Information acquisitions Interaction history Parametrisation

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Vision-based adaptive control system for fluidized bed reactors

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Measurement: Journal of the International Measurement Confederation 2025年 255卷

作者： Anweiler, Stanislaw Krok, Marek Kolodziej, Szymon Chacartegui, Ricardo Villanueva, Jose Antonio Becerra Sikora, Malgorzata Wasilewska, Barbara Przysiężniuk, Dawid Faculty of Mechanical Engineering Department of Process and Environmental Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Electrical Engineering Automatic Control and Informatics Department of Control Science and Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Mechanical Engineering Department of Vehicles Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Department of Energy Engineering Escuela Técnica Superior de Ingenieros de Sevilla University of Seville Camino Descubrimientos s/n.- Isla Cartuja Seville41092 Spain Faculty of Mechanical Engineering Koszalin University of Technology Śniadeckich 2 Street Koszalin75-453 Poland Faculty of Production Engineering and Logistics Department of Production Management and Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Mechanical Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland

In process engineering, precise, automatic, and dynamic identification of two-phase structures remains a challenging yet essential task, particularly for effectively controlling pneumatic systems handling solid particles. Complex interactions between gas and solid phases and variable flow geometries complicate the precise control of fluidized beds. This study evaluates an adaptive, vision-based flow control system designed for fluidized bed reactors, using real-time image analysis to characterize flow structures. A self-developed air flow valve regulator system, combined with a programmable logic controller (PLC) and dynamic image feedback, enables this innovative control approach. By analyzing grey-level signals within specified regions of interest (ROIs), the system accurately differentiates between critical fluidization regimes: bubbling, plugging, and turbulent flow. The control algorithm dynamically adjusts the flow rate, achieving a mean square error of 6.98 m3/h, underscoring the system's reliability and potential for further optimization. Additionally, safeguards were implemented to prevent material loss at high airflow thresholds, enhancing system stability and safety. The findings demonstrate the potential of adaptive vision-based control for fluidized bed automation, offering an advanced solution for real-time monitoring and precise flow regulation in complex two-phase processes. © 2025 The Author(s)

关键词： Image correlation

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Erratum to: A Robust MPP Tracker Based on Sliding Mode control for a Photovoltaic Based Pumping System

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International Journal of Automation and computing 2021年第6期18卷 1046-1046页

作者： Farhat Maissa Oscar Barambones Sbita Lassaad Aymen Fleh Department of Electrical Electronics and Communications EngineeringAmerican University of Ras A1 KhaimahRas A1 Khaimah 10021UAE Advanced Control Group Faculty of Engineering of Vitoria-GasteizUniversity of the Basque CountryBilbaoSpain Electrical and Automatic Engineering Department Engineering School of GabesUniversity of GabesZrigGabes 6029Tunisia

Correction:The name of the third author is corrected as Sbita Lassaad which was misspelled as Sbita Lassad in the original *** online version of the original article can be found at http://***/10.1007/s11633-016-0982-6.

关键词： MPP corrected http

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Humanoid Receptionist Connected to IoT Subsystems and Smart Infrastructure is Smarter than Expected

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IFAC-PapersOnLine 2019年第27期52卷 347-352页

作者： Michal Podpora Arkadiusz Gardecki Aleksandra Kawala-Sterniuk Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Poland Weegree Sp. z o.o. S.K. Poland

The authors of this paper have the unique opportunity to design the AI engine of a humanoid front desk office (receptionist) employee. The designed AI engine conception is strongly influenced by the Smart Infrastructure approach, making the robot be just an interface to a complex system cooperating with various databases, subsystems and IoT modules and sensors. The WeegreOne robot has been given the access to a wide variety of preferred conversation topics, additional facts, databases and sensors, making it become a valuable interlocutor. The prototype has been installed, and the AI engine have adapted to most of the real-case uses. Surprisingly, human interlocutors neither do not use nor discover the full functionality and versatility of the robot. The research team extended the usability and connectivity of the robot while analyzing the interactions with the employees and visitors of the company. The article presents the concept, design and final thoughts on the results of the experiment - that people seem not to need robotic employees to be really smart or versatile -or - people seem to underestimate the versatility of robotic employees.

关键词： Human-Machine Interaction Internet of Things Human Recognition Humanoid Robots Smart Infrastructure Human Identification

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Report on a pre-earthquake signal detection by enhanced Eötvös torsion balance

arXiv

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arXiv 2022年

作者： Völgyesi, L. Tóth, Gy. Szondy, Gy. Kiss, B. Fenyvesi, E. Barnaföldi, G.G. Égető, Cs. Lévai, P. Imre, E. Pszota, M. Ván, Péter Department of Geodesy and Surveying Faculty of Civil Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Independent researcher Society for the Unity of Science and Technology Hungary Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Department of Theoretical Physics Institute for Particle and Nuclear Physics Wigner Research Centre for Physics Konkoly-Thege Miklós út 29-33. BudapestH-1121 Hungary Óbuda University Faculty of Electrical Engineering Bécsi út 94-96 BC I.107 BudapestH-1034 Hungary Eötvös Loránd University Faculty of Science Pázmány Péter sétány 1/A BudapestH-1117 Hungary Department of Energy Engineering Faculty of Mechanical Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

More than 30 minutes before the earthquake event in Florina, Greece at 21:43:47(UTC) on 9th January 2022 an enhanced Eötvös torsion balance registered unidentified signals in the Jánossy Underground Research Laboratory in Budapest, Hungary. These signals were not visible on the seismograms, although seismic noises are continuously recorded by a side-by-side broadband seismometer. Moreover, seismological stations did not detect anything unusual, they presented a negative confirmation of the events. Our observation suggests that torsion-balances might effectively detect precursory earthquake signals from a considerable distance. Such a finding could trigger the development of new observational devices and networks and can provide novel knowledge about the origin and mechanism of earthquake phenomena. © 2022, CC BY.

关键词： Signal detection

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