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International Conference on Fog and Mobile Edge Computing (FMEC)

作者： Raphael Schermann Simone Bussa Rainer Urian Christian Steger Institute of Technical Informatics Graz University of Technology Graz Austria Department of Control and Computer Engineering Politecnico di Torino Turin Italy Infineon Technologies AG Augsburg Germany

IoT device onboarding, especially in the context of an edge-fog-cloud architecture, still has many challenges to solve. FIDO has already specified a zero-touch onboarding process called FIDO Device Onboarding (FDO) specification. In this paper, we present improvements to the FDO specification regarding performance and privacy. For privacy and security reasons, we show how the URL of the Owner Fog can be hidden from the Rendezvous Server. Further, we replaced the EPID protocol with a promising privacy-preserving protocol called AACKA. We also modified the last phase in the FDO protocol to create a performance improvement.

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The Impact of Recommendation Systems on Opinion Dynamics: Microscopic Versus Macroscopic Effects

The Impact of Recommendation Systems on Opinion Dynamics: Mi...

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IEEE Conference on Decision and control

作者： Nicolas Lanzetti Florian Dörfler Nicolò Pagan Department of Electrical Engineering and Information Technology Automatic Control Laboratory ETH Zürich Zürich Switzerland Department of Informatics Social Computing Group University of Zürich Zürich Switzerland

Recommendation systems are widely used in web services, such as social networks and e-commerce platforms, to serve personalized content to the users and, thus, enhance their experience. While personalization assists users in navigating through the available options, there have been growing concerns regarding its repercussions on the users and their opinions. Examples of negative impacts include the emergence of filter bubbles and the amplification of users' confirmation bias, which can cause opinion polarization and radicalization. In this paper, we study the impact of recommendation systems on users, both from a microscopic (i.e., at the level of individual users) and a macroscopic (i.e., at the level of a homogenous population) perspective. Specifically, we build on recent work on the interactions between opinion dynamics and recommendation systems to propose a model for this closed loop, which we then study both analytically and numerically. Among others, our analysis reveals that shifts in the opinions of individual users do not always align with shifts in the opinion distribution of the population. In particular, even in settings where the opinion distribution appears unaltered (e.g., measured via surveys across the population), the opinion of individual users might be significantly distorted by the recommendation system.

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Pairwise vs Higher-order interactions: Can we identify the interaction type in coupled oscillators from time series?

arXiv

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arXiv 2025年

作者： Su, Weiwei Hata, Shigefumi Kori, Hiroshi Nakao, Hiroya Kobayashi, Ryota Department of Complexity Science and Engineering The University of Tokyo Kashiwa277-0882 Japan Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan Department of Mathematical Informatics The University of Tokyo Bunkyo113-8654 Japan Department of Systems and Control Engineering Institute of Science Tokyo Meguro152-8552 Japan Research Center for Autonomous Systems Materialogy Institute of Science Tokyo Yokohama226-8501 Japan Mathematics and Informatics Center The University of Tokyo Bunkyo113-8656 Japan

Rhythmic phenomena, which are ubiquitous in biological systems, are typically modelled as systems of coupled limit cycle oscillators. Recently, there has been an increased interest in understanding the impact of higher-order interactions on the population dynamics of coupled oscillators. Meanwhile, estimating a mathematical model from experimental data is a vital step in understanding the dynamics of real-world complex systems. In coupled oscillator systems, identifying the type of interaction (e.g. pairwise or three-body) of a network is challenging, because different interactions can induce similar dynamical states and bifurcations. In this study, we have developed a method based on the adaptive LASSO (Least Absolute Shrinkage and Selection Operator) to infer the interactions between the oscillators from time series data. The proposed method can successfully classify the type of interaction and infer the probabilities of the existence of pairwise and three-body couplings. Through systematic analysis of synthetic datasets, we have demonstrated that our method outperforms two baseline methods, LASSO and OLS (Ordinary Least Squares), in accurately inferring the topology and strength of couplings between oscillators. Finally, we demonstrate the effectiveness of the proposed method by applying it to the synthetic data of 100 oscillators. These results imply that the proposed method is promising for identifying interactions from rhythmic activities in real-world systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Population dynamics

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A Swarm Model for Target Capturing in a Polygonal Strip

A Swarm Model for Target Capturing in a Polygonal Strip

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Antonio Bono Luigi D' Alfonso Giuseppe Fedele Veysel Gazi Department of Informatics Modeling Electronics and Systems Engineering University of Calabria Rende Italy Department of Control and Automation Engineering Faculty of Electrical and Electronics Engineering Yildiz Technical University Esenler Turkey

This paper presents a methodology to generate proper state trajectories of a swarm of agents, described as a single integrator model. The main goal of the proposed methodology is to route the agents into planar polygons like areas, so that to accomplish for cooperative perimeter surveillance or target capturing tasks. In particular, the agents are driven into a polygonal strip defined by a given containment external convex polygonal region and an internal forbidden convex polygonal region around a prescribed target. The control law is designed looking at a circular strip, then a conversion from circular to polygonal areas is applied to achieve the prescribed goal. Steady-state conditions are analyzed and sufficient conditions derived in terms of the control law parameters. Simulation results put in light the main properties of the resulting kinematic state description.

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Intelligent Monitoring of News on Economics and Finance Based on Formal Semantics of the Movement Verbs 44

Intelligent Monitoring of News on Economics and Finance Base...

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44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021

作者： Fomichov, V.A. Institute No.3 'Control Systems Informatics and Electric Power Engineering' Moscow Aviation Institute National Research University Department of Intelligent Monitoring Systems Moscow Russia

ISBN: (纸本)9789532331011

During last decade, a new class of business intelligence systems has emerged. It consists of natural language (NL) processing systems discovering significant business events in the news posted on the Web. The analysis shows that, very often, the descriptions of business events are metaphoric. E.g., the sentences describing the dynamics of various goods' prices may include the forms of the verbs 'to jump', 'to climb down', 'to crash down', etc. The paper suggests an original approach (and its software implementation) to designing intelligent monitoring systems looking for the changes of selected parameters (price, exchange rate, etc.) associated with a selected set of goods (feed wheat, aluminum, oil, etc.). The approach is based on formal semantics of the verbs characterizing the movement. The central idea is to use domain-independent formal representations of the verbs' semantics. With this aim, the powerful expressive means of the theory of K-representations (knowledge representations) are used. It is an original theory of designing semantic parsers of NL-s with the broad use of formal means for representing input, intermediary, and output data. TKR and its computer applications are described in numerous papers in English. TKR introduces a new class of formal languages - the class of SK-languages (standard knowledge languages). TKR is used in the paper in an optimized form, because the paper suggests a simplified (an optimized) form of its fist basic mathematical model (it describes a set of primary units of conceptual level and the relationships between them). With this aim, the notion of an optimized conceptual basis is introduced. © 2021 Croatian Society MIPRO.

关键词： Knowledge representation

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Influence of Reconstruction Algorithms on Harmonic Analysis in Electrical Impedance Tomography

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IFAC-PapersOnLine 2023年第2期56卷 5615-5619页

作者： Erik Stein Rongqing Chen Alberto Battistel András Lovas Balazs Benyó Knut Möller Institute of Technical Medicine (ITeM) Furtwangen University (HFU) Villingen-Schwenningen Germany Faculty of Engineering University of Freiburg Freiburg Germany Department of Anaesthesiology and Intensive Therapy Kiskunhalas Semmelweis Hospital Kiskunhalas Hungary Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

Electrical Impedance Tomography (EIT) is a commonly used imaging technique for monitoring respiration on the bedside and it might have the potential for monitoring lung perfusion. Several signal processing approaches have been developed to separate respiration and perfusion. In this contribution we investigated whether different image reconstruction algorithms influence the separation results provided by the harmonic analysis approach. We compared the algorithms used by Dräger, the Gauss-Newton method with different regularizers as well as the GREIT algorithm. The comparison was carried out using a retrospective EIT dataset from a COVID-19 patient. The results gave insight that the harmonic analysis separation approach is dependent on the reconstruction algorithms. Both, the separation of the perfusion and the separation of the respiration showed differences between the reconstruction algorithms when carried out pixel-wise. On the other hand, the separations carried out on the global impedance only showed marginal differences for the separated perfusion.

关键词： Medical imaging and processing Developments in measurement, signal processing Decision support and control

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Decision Boundary Optimization-Informed Domain Adaptation

arXiv

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arXiv 2025年

作者： Luo, Lingkun Hu, Shiqiang Yang, Jie Chen, Liming Department of Information and Control Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China Department of Electronic Information and Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China Department of Mathematics and Informatics École Centrale de Lyon Écully69134 France

Maximum Mean Discrepancy (MMD) is widely used in a number of domain adaptation (DA) methods and shows its effectiveness in aligning data distributions across domains. However, in previous DA research, MMD-based DA methods focus mostly on distribution alignment, and ignore to optimize the decision boundary for classification-aware DA, thereby falling short in reducing the DA upper error bound. In this paper, we propose a strengthened MMD measurement, namely, Decision Boundary optimization-informed MMD (DB-MMD), which enables MMD to carefully take into account the decision boundaries, thereby simultaneously optimizing the distribution alignment and cross-domain classifier within a hybrid framework, and leading to a theoretical bound guided DA. We further seamlessly embed the proposed DB-MMD measurement into several popular DA methods, e.g., MEDA, DGA-DA, to demonstrate its effectiveness w.r.t different experimental settings. We carry out comprehensive experiments using 8 standard DA datasets. The experimental results show that the DB-MMD enforced DA methods improve their baseline models using plain vanilla MMD, with a margin that can be as high as 9.5. © 2025, CC BY.

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Evaluation of an Intelligent Edge Computing System for the Hospital Intensive Care Unit 3

Evaluation of an Intelligent Edge Computing System for the H...

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3rd IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability, ECBIOS 2021

作者： Zida, Serge Ismael Lin, Yue-Der Lee, Cheng Lin Tsai, Yi Lun Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781728193045

The evolution of medical technology along with information and communication technologies has accelerated the development and operationalization of smart hospitals recently. Traditionally, such hospitals typically rely on cloud computing platforms for data treatment and processing. However, the expansion and popularization of Internet of Medical Things (IoMT) devices and constant data monitoring have resulted in massive amounts of generated data, leading to the overload of the cloud infrastructure. This results in high power consumption and latency in data transmission, which is critical especially in a healthcare environment where data flow must be particularly responsive. Thus, we proposed and designed a Raspberry Pi-based edge computing system to computer-intensive care unit (ICU) data at the periphery of the network to offload the hospital cloud platform. ICU medical data were simulated from the PhysioNet MIMIC III database and transferred to the edge platform for computation and identification of emergency cases that were then sent to the cloud level. We further discuss the current issues and prospects of edge computing in hospitals. © 2021 ECBIOS 2021. All rights reserved.

关键词： Intensive care units

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Augmented Reality Display of Robot with Graphs of Property Response Using Its USD Model

Augmented Reality Display of Robot with Graphs of Property R...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Kazuki Tsukamoto Masanobu Koga Department of Creative Informatics Kyushu Institute of Technology Department of Intelligent and Control Systems Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology

This study proposes a method that can easily grasp the relationship between the actual machine and the graphs. In recent years, there has been a lot of research on augmented reality displays. The fields of research range from education to welfare. In the development of control systems, when evaluating the performance of a system by simulation or experiment, the results are often checked as graphs. Since the graphs are checked on a PC using CAD or other means, it is difficult to know which part of the actual machine each graph corresponds to. Therefore, we developed a tool that displays graphs in augmented reality around the actual machine through a camera on a mobile terminal. To display graphs in augmented reality, it is important to obtain the coordinates of the actual machine and display them in a location associated with the device. Therefore, a USD model with the same shape and size as the actual machine is used. This is achieved by displaying the USD model in augmented reality so that it is superimposed on the actual machine. The accuracy of the tool was also examined and its usefulness was evaluated.

关键词： Solid modeling Automation Shape Robot kinematics Robot vision systems Education control systems

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Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach

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Neural Computing and Applications 2025年

作者： Talaat, Fatma M. Shaban, Warda M. ZainEldin, Hanaa Badawy, Mahmoud Elhosseini, Mostafa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh Egypt Faculty of Computer Science & Engineering New Mansoura University Gamasa35712 Egypt Department of Communication and Electronics Engineering Nile Higher Institute for Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence and informatics Horus University New Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer Science and Information Department Applied College Taibah University Madinah42353 Saudi Arabia College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia

With rapid urbanization, smart cities have become essential for enhancing urban management and sustainability by integrating technological, social, and institutional innovations. Among these innovations, vehicle-to-everything (V2X) communications and electric vehicles (EVs) play a critical role in reducing carbon emissions and optimizing urban mobility. To address the existing gaps in holistic V2X integration, this paper presents a novel eco-assistive fog-based traffic management system (EAFTMS) that leverages a four-tier architecture (IoT, fog, cloud, and application) for scalable, real-time traffic optimization. A key innovation of this system is the AI-driven point exchange system (PES), designed to incentivize sustainable behaviors such as reducing unnecessary vehicle usage and promoting green lifestyle choices. Unlike conventional models, the proposed framework incorporates real-time behavioral monitoring, rewards-based sustainability programs, and V2X-enabled dynamic traffic control. Empirical validation demonstrates that EAFTMS outperforms existing models, including support vector regression (SVR), achieving a 30% reduction in latency, a 40% improvement in response time, a 25% increase in traffic flow efficiency, and a 35% reduction in CO2 emissions. These results highlight the framework’s potential to set new standards in intelligent green cities by offering scalable, practical, and environmentally impactful solutions to urban transportation challenges. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Urban transportation

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