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

作者： Vizitiu, Cristian Turcin, Ioan Dominey, Kevin Alexander Softic, Selver Dinculescu, Adrian-Catalin Bocanet, Vlad I. Dugan, Cosmin Moraru, Sorin-Aurel The Space Applications and Technologies Laboratory Institute of Space Science-Subsidiary of INFLPR Magurele Romania Transilvania University of Brasov Faculty of Electrical Engineering and Computer Science Department of Automatics and Information Technology Brasov Romania CAMPUS 02 University of Applied Sciences Department Automation Technology Graz Austria CAMPUS 02 University of Applied Sciences Department IT and Business Informatics Graz Austria Robotics and Production Management Technical University of Cluj-Napoca Cluj-Napoca Faculty of Industrial Engineering Department of Manufacturing Engineering Romania Bucharest University Emergency Hospital Bucharest Romania

ISBN: (纸本)9798331540388

Perspiration is a physiological response in high-stress situations, that also plays a key role in thermoregulation and stress management. Understanding perspiration patterns is used for assessing physiological responses and optimizing human performance especially in professions such as emergency medical services and military operations, as well as for individuals exposed to Isolated Confined Extreme (ICE) environments such as astronauts and space analog mission participants. This paper defines a Digital Twin (DT) model, that will be integrated with an existing physical sweat simulator module (SSM) prototype. Its goal is to simulate human perspiration under high-stress conditions by integrating environmental, physiological, and psychological data. The system architecture is developed via Model-Based systems engineering (MBSE). The scope of the designed virtual model is to accurately reflect physical perspiration, detect abnormal perspiration patterns, and generate recommendations regarding stress countermeasures. The goal is to influence the behavioral and/or physiological state of the physical twin, thereby creating a dynamic, responsive system. Machine learning (ML) models will be used to identify patterns in the environmental, physiological, and psychological inputs and predict sweat volume, chemical composition, and regional sweat distributions across the body. ML will also be used to detect abnormal perspiration patterns based on input data. The application of generative AI for creating test data from simulation templates is anticipated to facilitate the comparative analysis of two to three distinct profiles, such as astronauts, soldiers, and paramedics or firefighters, using simulated values. The SSM, with its integrated sensors, will serve the dual purpose of validating the model and providing realistic physical simulation. © 2024 IEEE.

关键词： Physiological models

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Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging

arXiv

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arXiv 2025年

作者： Ayllón, Elena Mulero Mantegna, Massimiliano Shen, Linlin Soda, Paolo Guarrasi, Valerio Tortora, Matteo Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Diagnostics and Intervention Radiation Physics Biomedical Engineering Umeå University Umeå Sweden Department of Naval Electrical Electronics and Telecommunications Engineering University of Genoa Genoa Italy

Accurate lung tumor segmentation is crucial for improving diagnosis, treatment planning, and patient outcomes in oncology. However, the complexity of tumor morphology, size, and location poses significant challenges for automated segmentation. This study presents a comprehensive benchmarking analysis of deep learning-based segmentation models, comparing traditional architectures such as U-Net and DeepLabV3, self-configuring models like nnUNet, and foundation models like MedSAM, and MedSAM 2. Evaluating performance across two lung tumor segmentation datasets, we assess segmentation accuracy and computational efficiency under various learning paradigms, including few-shot learning and fine-tuning. The results reveal that while traditional models struggle with tumor delineation, foundation models, particularly MedSAM 2, outperform them in both accuracy and computational efficiency. These findings underscore the potential of foundation models for lung tumor segmentation, highlighting their applicability in improving clinical workflows and patient outcomes. © 2025, CC BY-NC-SA.

关键词： Image segmentation

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Novel Handover Algorithms Using Pattern Recognition for Hybrid LiFi Networks

Novel Handover Algorithms Using Pattern Recognition for Hybr...

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IEEE Symposium on computers and Communications (ISCC)

作者： Guanghui Ma Rajendran Parthiban Nemai Karmakar Electrical and Computer Systems Engineering Department Monash University Australia School of Engineering Monash University Malaysia

ISBN: (数字)9781665497923

ISBN: (纸本)9781665497930

Owing to the combination of high-speed data transmission and ubiquitous coverage, the hybrid light fidelity (LiFi) and wireless fidelity (WiFi) network (HLWNet) has been recently proposed as a promising scheme for the next generation indoor wireless network. The handover problem in the HLWNet, however, becomes critical, due to the small cell size of the LiFi access point and the line-of-sight propagation of the optical signal. To provide accurate and timely handover decisions for the HLWNet, $w$ e regard the handover in HLWNet as a pattern recognition problem for the first time. In this paper, channel quality, optical channel blockage, user movement, and device orientation are characterized to model a practical simulation scenario. Two different pattern recognition techniques have been applied to design handover algorithms in the HLWNet. The simulation results show that the proposed handover algorithms are able to provide higher user throughput, lower handover rate, and better robustness performance as compared to benchmarks.

关键词： Simulation Optical propagation Handover Benchmark testing Light fidelity Throughput Robustness

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Validating and Improving an Aggregated EV Model for Energy systems Evaluation

Validating and Improving an Aggregated EV Model for Energy S...

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International Smart Grid Workshop and Certificate Program (ISGWCP)

作者： Kun Qian Reza Fachrizal Joakim Munkhammar Thomas Ebel Rebecca Adam Department of Civil and Industrial Engineering Built Environment Energy Systems Group (BEESG) Division of Civil Engineering and Built Environment Uppsala University Uppsala Sweden Department of Mechanical and Electrical Engineering Centre for Industrial Electronics (CIE) University of Southern Denmark S⊘nderborg Denmark

With the trend in transportation electrification, electric vehicle (EV) charging/discharging scheduling has become an area of concern. Scheduling can help manage EV charging/discharging activities. Besides, it is also valuable for energy systems evaluation, in which case modeling the individual EV has high complexity and requires a long computation time due to too many EVs. The aggregated model significantly reduces computation time but may sacrifice accuracy. This work investigates the trade-off between accuracy and computational time when designing intelligent EV charging/discharging scheduling by comparing the individual and aggregated models. This work first provides a detailed problem formulation. The simulation results show that the aggregated model can achieve similar energy system performance estimations from the energy-matching perspective compared to the individual model, given that the system allows vehicle-to-grid (V2G). Otherwise, the aggregated model will overestimate the performance. Thus, this work, in the meantime, proposes an extra constraint to avoid such overestimation when V2G is not allowed. Given the validated accuracy of the aggregated model and its advantage of low complexity and computation time, the aggregated model is more suitable for assessing large (e.g., city-level) energy systems.

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System Integrity Protection Schemes in the Nordics – a comparative analysis

arXiv

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arXiv 2025年

作者： Malmer, Gabriel Rolander, Arvid Hillberg, Emil Samuelsson, Olof Ackeby, Susanne Nordström, Lars Industrial Electrical Engineering and Automation Lund University Lund Sweden Electric Power and Energy Systems KTH Royal Institute of Technology Stockholm Sweden Electric Power Systems RISE Research Institutes of Sweden Göteborg Sweden

To increase the utilisation rate of the power system and accelerate electrification while providing a high degree of security and reliability, System Integrity Protection Schemes (SIPS) are of great importance. SIPS functions are automatic remedial actions, detecting abnormal conditions or contingencies in the system and taking control action to mitigate these conditions. Design, implementation, maintenance and coordination of SIPS are all important aspects for desired operation. However, different actors have chosen different approaches to using SIPS for capacity enhancement, and there are discrepancies in how capacity is valued in relation to for example complexity, reliability and risk. Additionally, definitions often vary between countries. This paper reports on a joint survey and interview study on SIPS with stakeholders and experts in the Nordic countries – including TSOs, DSOs and industry. Combined with a literature review, a comparison and analysis of how SIPS are used in the Nordics is performed, particularly in relation to ENTSO-E capacity allocation. © 2025, CC BY.

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Unmanned Measurement of an ILS System Using a Software Defined Radio

Unmanned Measurement of an ILS System Using a Software Defin...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

作者： Ibrahim, Mostafa Roth, Kyle West, James C. Ekin, Sabit Mitchell, Taylor Jacob, Jamey D. Peak, Detect School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74078 United States Unmanned Systems Research Institute Oklahoma State University StillwaterOK74078 United States

ISBN: (纸本)9781624106316

Instrument Landing systems (ILS) at airports are currently inspected using manned aircraft. Utilizing UAS can provide a more cost-effective, safer, and accurate solution. Building off previous proof-of-concept work with the FAA, this research miniaturizes and improves the flexibility of the system by developing a software designed radio to perform navaid inspections. Included in this development is ground and anechoic chamber testing to characterize the signal measurement quality and the aircraft systems’ impact on the accuracy. This is concluded by performing testing at an active airport to provide a full survey of the signal strength of an ILS. © 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Cost effectiveness

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Classification of energy graph-based signatures for FDI using machine learning

Classification of energy graph-based signatures for FDI usin...

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Power engineering Conference (SAUPEC), Southern African Universities

作者： Luke Nel Kenneth R. Uren George van Schoor School of Electrical Electronic and Computer Engineering North-West University Potchefstroom South Africa Unit for Energy and Technology Systems North-West University Potchefstroom South Africa

ISBN: (数字)9798331535162

ISBN: (纸本)9798331535179

This paper evaluates energy graph-based visualisation (EGBV) data structures for fault classification using machine learning (ML). EGBV transforms process variable (PV) data into node signature matrices (NSMs) and cost matrices. Tests with k-nearest neighbour (KNN), logistic regression, and feedforward neural networks (FNNs) show that transforming data into the NSM format achieves comparable performance to the PV format, indicating that EGBV offers similar classification characteristics. Future work could apply deep learning to the NSMs and cost matrices to leverage their structural features.

关键词： Deep learning Power engineering Logistic regression Costs Fault detection Energy measurement Transforms Nearest neighbor methods Data structures Feedforward neural networks

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Consensus Control of Leader-Following Multi-Agent systems in Directed Topology With Heterogeneous Disturbances

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 423-431页

作者： Qinglai Wei Xin Wang Xiangnan Zhong Naiqi Wu the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049and also with Qingdao Academy of Intelligent IndustriesQingdao 266109China the Department of Computer and Electrical Engineering and Computer Science Florida Atlantic UniversityBoca Raton FL33431 USA the Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and SystemsMacao University of Science and TechnologyMacao 999078China

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown *** main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic *** traditional ways,the coupling weights depending on the communication structure are static.A new distributed controller is designed based on Riccati inequalities,while updating the coupling weights associated with the gain matrix by state errors between adjacent *** introducing time-varying coupling weights into this novel control law,the state errors between leader and followers asymptotically converge to the minimum value utilizing the local *** the Lyapunov directed method and It?formula,the stability of the closed-loop system with the proposed control law is *** simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.

关键词： Consensus control directed topology external disturbance multi-agent(MA)systems

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industrial Scenario of Renewable Energy-Based Electromobility 3rd

Industrial Scenario of Renewable Energy-Based Electromobilit...

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3rd International Conference on Energy systems, Drives and Automations, ESDA 2020

作者： Szymanski, Jerzy Zurek-Mortka, Marta Faculty of Transport Electrical Engineering and Computer Science Kazimierz Pulaski University of Technology and Humanities Radom Poland Department of Control Systems Lukasiewicz Research Network Institute for Sustainable Technology Radom Poland

ISBN: (纸本)9789811672736

The article presents the concept of a hybrid network topology in the enterprises with the use of a solar power plant and energy storage as well as a drive frequency converter for charging of transportation battery of wheels vehicles and powering of electric caterpillar mining machines. Two important functionalities of the drive frequency converter as a unidirectional EV battery charger and for powering electric motors are presented. The obtained results of the simulation and experimental tests of the presented model confirm the possibility of controlling the DC current value of connected to drive frequency converter of the diode rectifier unit charging the EV battery. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Solar energy

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Codes for Correcting Asymmetric Adjacent Transpositions and Deletions

arXiv

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arXiv 2023年

作者： Wang, Shuche Vu, Van Khu Tan, Vincent Y.F. Institute of Operations Research and Analytics National University of Singapore Singapore Department of Mathematics National University of Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Industrial Systems Engineering and Management National University of Singapore Singapore

Codes in the Damerau–Levenshtein metric have been extensively studied recently owing to their applications in DNA-based data storage. In particular, Gabrys, Yaakobi, and Milenkovic (2017) designed a length-n code correcting a single deletion and s adjacent transpositions with at most (1 + 2s) log n bits of redundancy. In this work, we consider a new setting where both asymmetric adjacent transpositions (also known as right-shifts or left-shifts) and deletions may occur. We present several constructions of the codes correcting these errors in various cases. In particular, we design a code correcting a single deletion, s+ right-shift, and s− left-shift errors with at most (1 + s) log(n + s + 1) + 1 bits of redundancy where s = s+ + s−. In addition, we investigate codes correcting t 0-deletions, s+ right-shift, and s− left-shift errors with both uniquely-decoding and list-decoding algorithms. Our main contribution here is the construction of a list-decodable code with list size O(nmin{s+1,t}) and with at most (max{t, s + 1}) log n + O(1) bits of redundancy, where s = s+ + s−. Finally, we construct both non-systematic and systematic codes for correcting blocks of 0-deletions with `-limited-magnitude and s adjacent transpositions. Copyright © 2023, The Authors. All rights reserved.

关键词： Redundancy

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