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International Conference on Computing, engineering, and Design (ICCED)

作者： Sarah Basyouni Rawan Reda Aziza I. Hussein Mostafa Wageh Lotfy Electrical and Computer Engineering Department College of Engineering Effat University Jeddah Saudi Arabia Dept of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Ministry of Higher Education High Institute of Electronic Engineering Bilbis-Sharqiya Egypt

ISBN: (数字)9798331529376

ISBN: (纸本)9798331529383

The increasing adoption of electric vehicles (EVs) as a sustainable and efficient alternative to conventional gasoline-powered vehicles highlights the critical need for a reliable and effective charging infrastructure. This paper introduces an advanced control strategy for a power-split hybrid transmission system, which integrates a bi-directional DC-DC converter to optimize power management in hybrid and electric vehicle applications. The system architecture, incorporating a planetary gear system alongside motor and generator components, functions as a variable ratio gear, enabling smooth and efficient energy distribution. MATLAB/Simulink simulations assessed the system's performance under acceleration and regenerative braking conditions, highlighting the converter's ability to manage energy flow effectively between the battery and motor. The research investigates the differences between isolated and non-isolated DC-DC converters, highlighting the benefits of both designs in a variety of applications. Isolated converters improve safety and noise isolation; however, non-isolated systems are more compact and cost-effective. The results demonstrate the proposed system's ability to utilize electrical power exclusively during vehicle maneuvers, optimize energy efficiency, and reduce reliance on mechanical power. This research underscores the potential for advanced DC-DC converter topologies to enhance power management strategies in hybrid systems, providing valuable insights for future innovations in energy storage, power conversion, and electric vehicle technologies.

关键词： Technological innovation Gears Power system management DC-DC power converters Motors Hybrid power systems Generators Topology Safety MATLAB

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Modeling the Correlation of Human Vertebral Body Volumes*

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IFAC-PapersOnLine 2023年第2期56卷 9030-9035页

作者： Bálint Szabó Ákos Szlávecz Sándor Bazsó Péter Somogyi Katalin Kovács Árpád Viola Balázs István Benyó Budapest University of Technology and Economics Faculty of Electrical Engineering and Information Technology Department of Control Engineering and Information Technology Budapest Hungary. Department of Informatics Széchenyi István University Győr Hungary Péterfy Sándor Street Hospital Department of Neurosurgery Budapest Hungary

Anatomical parameters of the human body strongly correlate with each other. Modelling these dependencies enables the creation of a realistic anatomical human body model that can be parameterized. Such a model can be used for several diagnostic processes to identify abnormalities or even give guidance in surgical interventions. This paper proposes a probabilistic model describing the dependencies between the vertebral body volumes of humans from the Caucasian human race. As demonstrated, the proposed model can accurately describe the relationship between the vertebral body volumes and is used for the prediction of an unknown vertebral volume based on a known one. The probabilistic model is created by using the CT segmentation of 37 patients.

关键词： Biomedical engineering Statistical Modelling Human Body Modelling Spinal Chord Segmentation Probabilistic Model

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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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Novel Systems Based on Artificial Intelligence and Numerical Algorithms for Predicting Laboratory Results: A Comparative Study of Original Automatic Prediction Model with Advances in the Field 18th

Novel Systems Based on Artificial Intelligence and Numeric...

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18th International Conference on Interdisciplinarity in engineering, INTER-ENG 2024

作者： Pawuś, Dawid Porazko, Tomasz Paszkiel, Szczepan Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska Street 76 Opole45–758 Poland Department of Internal Medicine and Nephrology Institute of Medical Sciences University of Opole Oleska 48 Street Opole45–052 Poland Department of Nephrology with Dialysis Unit Opole University Hospital Witosa 26 Street 46–020Opole Poland

ISBN: (纸本)9783031816840

This study develops and evaluates a predictive model for estimating glomerular filtration rate using advanced machine learning algorithms. We trained and tested seven models, including K-nearest neighbors, support vector machine, gradient boosting, AdaBoost, XGBoost, LightGBM, and linear support vector regression, with a focus on clinical parameters like creatinine, urea, sodium, potassium, age, and gender. Gradient boosting and XGBoost demonstrated superior performance, achieving over 96% accuracy and mean absolute percentage errors around 2.5%. Additionally, we reviewed recent advancements in the field and compared our findings with existing research. The comparative analysis highlights the effectiveness of our proposed models in accurately predicting laboratory test results. This underscores the potential of machine learning to enhance diagnostic accuracy and improve patient outcomes in nephrology. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Prediction models

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The applied principles of EEG analysis methods in neuroscience and clinical neurology

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Military Medical Research 2024年第6期11卷 907-941页

作者： Hao Zhang Qing-Qi Zhou He Chen Xiao-Qing Hu Wei-Guang Li Yang Bai Jun-Xia Han Yao Wang Zhen-Hu Liang Dan Chen Feng-Yu Cong Jia-Qing Yan Xiao-Li Li School of Systems Science Beijing Normal UniversityBeijing 100875China College of Electrical and Control Engineering North China University of TechnologyBeijing 100041China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China Department of Psychology the State Key Laboratory of Brain and Cognitive Sciencesthe University of Hong KongHong Kong SAR 999077China HKU-Shenzhen Institute of Research and Innovation Shenzhen 518057GuangdongChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong SAR 999077China Department of Rehabilitation Medicine the First Afliated Hospital of Nanchang UniversityNanchang 330006China Rehabilitation Medicine Clinical Research Center of Jiangxi Province Nanchang 330006China Beijing Key Laboratory of Learning and Cognition School of PsychologyCapital Normal UniversityBeijing 100048China School of Communication Science Beijing Language and Culture UniversityBeijing 100083China Institute of Electrical Engineering Yanshan UniversityQinhuangdao 066004HebeiChina School of Computer Science Wuhan UniversityWuhan 430072China School of Biomedical Engineering Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalian 116081LiaoningChina Guangdong Artifcial Intelligence and Digital Economy Laboratory(Guangzhou) Guangzhou 510335China.

Electroencephalography(EEG)is a non-invasive measurement method for brain *** to its safety,high resolution,and hypersensitivity to dynamic changes in brain neural signals,EEG has aroused much interest in scientific research and medical *** article reviews the types of EEG signals,multiple EEG signal analysis methods,and the application of relevant methods in the neuroscience feld and for diagnosing neurological ***,3 types of EEG signals,including time-invariant EEG,accurate event-related EEG,and random event-related EEG,are ***,5 main directions for the methods of EEG analysis,including power spectrum analysis,time-frequency analysis,connectivity analysis,source localization methods,and machine learning methods,are described in the main section,along with diferent sub-methods and effect evaluations for solving the same ***,the application scenarios of different EEG analysis methods are emphasized,and the advantages and disadvantages of similar methods are *** article is expected to assist researchers in selecting suitable EEG analysis methods based on their research objectives,provide references for subsequent research,and summarize current issues and prospects for the future.

关键词： Electroencephalogram analysis methods Applied principles Neuroscience Diagnosis Neurological diseases

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Numerical Simulation of 3D Printed Resin Droplet-Based Microfluidic Device With T-Junction Geometry

Numerical Simulation of 3D Printed Resin Droplet-Based Micro...

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International Conference on Instrumentation control and Automation (ICA)

作者： Febricetta Zahraketzia Sarwono Muhammad Azhar Fa’iq Isa Anshori Narendra Kurnia Putra Engineering Physics Department Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Biomedical Engineering Department School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

Droplet-based microfluidics is a device that can process fluids on a micro-scale to be broken down into uniform droplets at a relatively fast rate. The droplet forming process can be done in a T-junction droplet-based microfluidics configuration where a dispersed fluid is injected into a continuous fluid flow to produce dispersed fluid droplets. In general, droplet-based microfluidics research is done using experimental tests which are limited in empirical observation, especially for mass production cases where an optimized design is needed. In this study, a numerical simulation was carried out to replicate the droplet generation in the droplet-based microfluidic device based on three-dimensional (3D) printed resin T-junction geometric scheme. Numerical simulation was carried out in a two-dimensional (2D) simulation using the level-set method (LSM) based on the finite element method (FEM) using computational fluid dynamics (CFD) tools for two-phase flow. Water is used as the dispersed fluid, and silicone oil 350 cp is used as the continuous fluid streamed into microfluidic channels with a height of 0.5 mm and a flow rate of 2.5 ml/hr. This study provides the influence of physical parameters such as the shear stress, pressure, and velocity profile which are evaluated at an evaluation point which directly affects the formation of droplets due to the interaction between two immiscible fluids. In addition, suggestions for future droplet generation simulations in microfluidics simulations are also obtained.

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Design of Supervisory Model Predictive control for Building HVAC System Subject to Time-Varying Operating Points

Design of Supervisory Model Predictive Control for Building ...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Sitthiphat Promchaiwattana David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok Thailand

This paper presents the design of supervisory model predictive control for HVAC systems with consideration of peak demand shaving and thermal comfort. In this work, we analyze the operating points with the thermal comfort requirement. Afterwards, we linearize the nonlinear dynamic model to a linear time-varying model. In particular, we specify that the operating point of the open-loop HVAC system satisfies the thermal comfort condition. This makes the predicted mean vote (PMV) equal to zero or nearly to zero. Subsequently, we calculate the zone temperature, the zone humidity ratio, and the volumetric flow rate. When considering the time-varying disturbance profiles, it appears that the operating points are time-varying. We observe that the coefficient of performance (COP) and the operating points are time-varying which lead to time-varying model. Moreover, we design supervisory control (SC) and model predictive control (MPC) for linear time-varying model. In the SC design, we aim to find the optimal reference zone temperature which is used as the reference signal for MPC. In the MPC design, the objectives are twofold. First, the zone temperature tracks the reference signal. Second, both electrical energy cost and deviation of desired thermal comfort are minimized. The computer simulation shows that MPC of time-varying HVAC system yields the best reference tracking. In addition, it reduces total electrical energy cost the most. We conclude that the optimal temperature reference can be effectively applied to the building HVAC systems while the occupants feel comfortable and the total electrical energy cost is the lowest.

关键词： HVAC Costs Input variables Buildings Predictive models Supervisory control Thermal analysis

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Social and Ethical Issues in Various Medical Procedures

Social and Ethical Issues in Various Medical Procedures

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2023 Progress in Applied electrical engineering, PAEE 2023

作者： Sterniuk, Piotr Karwowski, Waldemar Racheniuk, Henryk Luckiewicz, Adrian Wieczorek, Anna Pawlowski, Mateusz Libionka, Witold Wlodarczyk, Anna Bojkowska-Otrebska, Katarzyna Sudol, Adam Panczvszak, Bartosz Kawala-Sterniuk, Aleksandra Opole University of Technology Technology Transfer Center Opole Poland University of Central Florida Department of Industrial Engineering and Management Systems OrlandoFL United States Opole University of Technology Faculty of Physical Education and Physiotherapy Opole Poland Automatic Control and Informatics Opole University of Technology Faculty of Electrical Engineering Opole Poland Vital Medic Hospital Kluczbork Poland Wroclaw Medical University Faculty of Health Sciences Wroclaw Poland Medical University of Gdansk Department of Neurosurgery Gdansk Poland Clinical Department of Geriatrics Faculty of Stobrawskie Centrum Medyczne Kup Poland Institute of Medical Sciences University of Opole Opole Poland University of Opole Faculty of Natural Sciences and Technology Opole Poland Jan Dlugosz University in Czestochowa Faculty of Health Sciences Czestochowa Poland

ISBN: (纸本)9798350316254

Medical procedures, in particular those invasive, generate significant ethical, legal, and social concerns, including the issues of humanity and person-hood, stigma, autonomy, privacy and security, research ethics, safety, moral and legal responsibility, fair access, and justice. It was pointed out that future research should focus on developing practical solutions to the ethical challenges of medical experimental procedures with human participants, facilitated by the collection of empirical data on the perspectives shared by the general public, researchers and of course study participants. © 2023 IEEE.

关键词： Ethical technology

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Resilient Routing Table Computation Based on Connectivity Preserving Graph Sequences

Resilient Routing Table Computation Based on Connectivity Pr...

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： János Tapolcai Péter Babarczi Pin-Han Ho Lajos Rónyai Department of Telecommunications and Media Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary Deptartment of Electrical and Computer Engineering University of Waterloo Canada Eötvös Loránd Research Network and Department of Algebra Institute for Computer Science and Control Institute of Mathematics Budapest University of Technology and Economics Budapest Hungary

Fast reroute (FRR) mechanisms that can instantly handle network failures in the data plane are gaining attention in packet-switched networks. In FRR no notification messages are required as the nodes adjacent to the failure are prepared with a routing table such that the packets are re-routed only based on local information. However, designing the routing algorithm for FRR is challenging because the number of possible sets of failed network links and nodes can be extremely high, while the algorithm should keep track of which nodes are aware of the failure. In this paper, we propose a generic algorithmic framework that combines the benefits of Integer Linear Programming (ILP) and an effective approach from graph theory related to constructive graph characterization of k-connected graphs, i.e., edge splitting-off. We illustrate these benefits through arborescence design for FRR and show that (i) due to the ILP we have great flexibility in defining the routing problem, while (ii) the problem can still be solved very fast. We demonstrate through simulations that our framework outperforms state-of-the-art FRR mechanisms and provides better resilience with shorter paths in the arborescences.

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A 75 GHz Brillouin Stokes Channels For High Data Rate DWDM Communication Systems

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Optik 2023年 295卷

作者： Awsaj, Mohammed K. Al-Mashhadani, Thamer Fahad Al-Mashhadani, Mohammed Kamil Salh Hammudi, Rabi Noori Ali, Ali Yaseen Ali, Sanaria Abd Zan, Mohd Saiful Dzulkefly Arsad, Norhana UKM—Photonics Technology Laboratory Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Bangi43600 Malaysia Department of Electrical Engineering Al-Anbar University Ramadi31001 Iraq Department of Laser Engineering and Optoelectronics Kut University College Al-Kut52001 Iraq Tikrit University Department of Electrical Engineering Saladdin Iraq Department of Petroleum Systems Control Engineering The College of Petroleum Processes Engineering Tikrit University Tikrit34001 Iraq Informatics and Telecommunications public company Ministry of Communication Iraq

The experimental results of a 75 GHz Brillouin Stokes channels are demonstrated in this paper. Three dispersion compensation fiber (DCF) spools and one single mode fiber (SMF) spool are used as a Brillouin gain medium. An erbium doped fiber amplifier (EDFA) sections are used to amplify the generated Stokes channels and to reduce the Brillouin Stokes threshold inside the cavities. Laser pump of 1480 nm with total power of 470 mW are used for the EDFA sections as a pump power unit. In our proposed setup, four channels with 75 GHz spacing, high Stokes power of about 10 mW, and large optical signal to noise ratio (OSNR) of about 52 dB are achieved at Brillouin pump power of 25 mW. The achieved channels are tuned over 15 nm from 1565 to 1580 nm. within the entire tuning range up to 25 Stokes channels with 75 GHz spacing can be utilized. High data rate of about 800 Gb/s can be obtained per single channel at this wide channel spacing. Therefore, the total data rate that could be achieved within the obtained tuning range is about 20 Tb/s. © 2023 Elsevier GmbH

关键词： Erbium doped fiber amplifiers

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