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Research Square 2021年

作者： Ramli, Muhammad M. Rosman, Anis S. Mazlan, Nur S. Ahmad, Mohd F. Halin, Dewi Suriyani Che Mohamed, Rafeezul Osman, Nurul H. Reshak, Ali H. Perlis Malaysia Perlis Malaysia Advance Medical and Dental Institute Universiti Sains Malaysia Bertam Jln Tun Hamdan Sheikh Tahir Kepala Batas Pulau Pinang13200 Malaysia Applied Electromagnetic Lab 1 Department of Physics Faculty of Science Universiti Putra Malaysia Serdang Selangor43400 Malaysia Physics Department College of Science University of Basrah Basrah Iraq Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering CTU in Prague Technicka 4 Prague166 07 Czech Republic

Breast cancer is one of the most reported cancers that can lead to death. Despite the advances in diagnosis and treatment procedures, the possibility of cancer recurrences is still high in many cases. With that in consideration, researchers from all over the world are showing interest in the unique features of Graphene oxide (GO), such as its excellent and versatile physicochemical properties, to explore further its potential and benefits towards breast cancer cell treatment. In this study, the cell viability and electrical response of GO, in terms of resistivity and impedance towards the breast cancer cells (MCF7) and normal breast cells (MCF10a), were investigated by varying the pH and concentration of GO. Firstly, the numbers of MCF7 and MCF10a were measured after being treated with GO for 24 and 48 hours. Next, the electrical responses of these cells were evaluated by using interdigitated electrodes (IDEs) gold electrodes that are connected to an E4980 20 Hz – 2 MHz Precision LCR meter. Based on the results obtained, as the pH of GO increased from pH 5 to pH 7, the number of viable MCF7 cells decreased while the number of viable MCF10a slightly increased after the incubation period of 48 hours. Similarly, the MCF7 also experienced higher cytotoxicity effects when treated with a GO concentration of more than 25 µg/mL. The findings from the electrical characterization of the cells observed that the number of viable cells has corresponded to the impedance of the cells. The electrical impedance of MCF7 decreased as the number of highly insulating viable cells membrane decreased, but in contrast, the electrical impedance of MCF10a increased as the number of highly insulating viable cells membrane increased. Hence, it can be deduced that the GO with higher pH and concentration impacts the MCF7 cancer cell line and MCF10a normal breast cell. © 2021, CC BY.

关键词： Graphene

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Distributed Coordinated Emergency Frequency control Strategy for Renewables-Rich Power systems Based on Multi-Agent Reinforcement Learning

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SSRN 2025年

作者： Sun, Zhenglong Han, Junpeng Chen, Weihan Zhang, Rui Liu, Yong Levron, Yoash Belikov, Juri Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering Technion—Israel Institute of Technology Haifa3200003 Israel Department of Software Science Tallinn University of Technology Akadeemia Tee 15a Tallinn12618 Estonia

With the rapid growth of renewable energy in the power system and the implementation of large-capacity LCC-HVDC projects, the frequency support capability of the grid has been reduced. Simultaneously, the renewables-rich grid faces the risk of high-power shocks due to LCC-HVDC blocking. Existing centralized, single-measure approaches and the model-based emergency frequency control (EFC) methods are facing tremendous challenges. To fill this gap, this paper proposes a frequency emergency control method for renewables-rich grids that coordinates LCC-HVDC emergency power support and load shedding. The coordination of the two stabilization measures is modeled as a decentralized partially observable Markov decision process, and a multi-agent reinforcement learning (MADRL) approach is employed to optimize the power of measures for each stabilization control substation. An MADRL algorithm that integrates the system frequency response model is developed to overcome the problem of inaccurate evaluation of centralized action value in the MADRL algorithm used for EFC. This approach allows for the global optimization of the distributed coordination strategy through centralized training. The effectiveness and adaptability of the proposed method are demonstrated through simulations of the modified IEEE 39-bus system. © 2025, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series

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IFAC-PapersOnLine 2019年第27期52卷 388-393页

作者： O. Mihálik D. Michalík P. Jura P. Fiedler Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech republic

Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.

关键词： Prolate spheroidal wave functions Slepian series Signal extrapolation Sampled signals Frequency spectrum Fourier analysis Bandwidth

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Estimation of International Standards for Unconventional Wind Turbine Testing

Estimation of International Standards for Unconventional Win...

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International Universities Power engineering Conference (UPEC)

作者： Aleksandr Lukin Anton Rassõlkin Galina L. Demidova Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia

ISBN: (数字)9781728110783

ISBN: (纸本)9781728110790

There is a quantum leap in the design of new types of wind turbines in connection with the transformation of energy systems around the world which goes to be distributed. It's need not only be certified but also be analyzed by using international standards to verify the designed prototype quality. Recent study compares technical standards maintained by the Euro-Asian Council for Standardization, Metrology and Certification (EASC) known as GOST with International Electrotechnical Commission (IEC) regulations for wind generators. The motivation for such standardization study is the development of Magnus effect-based wind turbine, which requires special attention as any unconventional wind turbine. This paper presents an analytical review of industry standards applicable to the experimental Magnus effect-based wind turbine. The main groups of the standard that regulates the field of wind energy generation are identified.

关键词： Wind turbines IEC Standards Wind speed Rotors Wind energy generation Testing

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Machine learning-integrated computational analysis on a blood-based ternary nanofluid flow in a stenosed artery with the artificial neural networks and modified finite difference approach

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Chaos, Solitons & Fractals 2025年 199卷

作者： Mohib Hussain Du Lin Hassan Waqas Bagh Ali Nehad Ali Shah School of Mathematics and Statistics Northwestern Polytechnical University Xian 710072 China MIIT Key Laboratory of Dynamics and Control Complex System Northwestern Polytechnical University Xi’an 710072 China School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Wuhan Hubei 430063 China Department of Software Engineering Faculty of Science & Technology ILMA University 75190 Karachi Pakistan Department of Mechanical Engineering Sejong University Seoul 05006 Republic of Korea

Heart failure and stroke continue to be the most common cause of global death, with atherosclerosis artery stenosis becoming a significant contributor. Although prior research has progressed in comprehending blood circulation behaviour, however, the incorporation of artificial intelligence (AI) and machine learning (ML) in the examination of ternary nanofluids for stenosed arterial diseases signifies a notable breakthrough in this domain. We proposes an integration of ML technique with computational fluid dynamics (CFD) to analyse the non-linear dynamics of thermal characterization in blood-based tri-hybrid nano-fluid flow, influenced by thermal radiation, variable heat sources and sinks, and aligned magnetic field effects within a blood artery exhibiting cosine stenosis. The investigation is based on AI approach, the Levenberg–Marquardt algorithm (LMA), with back propagation Artificial Neural Network (ANN-BP). The mathematical model is developed in the form of partial differentia equations and transformed into ordinary differential equation by similarity scaling, and then numerically evaluated by a modified finite difference approach, the Keller-Box method. The suggested ANN-LMA accuracy is compared to the ML solution for boundary layer flow. Regression values indicate an excellent fit between the predictions and the real data. It is observed that the inclined magnetic angle affects the drag force and heat transfer rate. There is a 27.9% increase in the heat transfer rate for ternary nano-fluid. Conclusively, the non-linear interaction between the magnetic field and nanofluid flow may significantly enhance heat transfer rates, which could have potential applications in biomedical sciences.

关键词： Artificial intelligence Blood-integrated nano-fluid Machine learning Neural networks Non-linear differential equations Thermal analysis

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Magnus Wind Turbine: Finite Element Analysis and control system

Magnus Wind Turbine: Finite Element Analysis and Control Sys...

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International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM

作者： Galina L. Demidova Alecksey Anuchin Aleksandr Lukin Dmitry Lukichev Anton Rassõlkin Anouar Belahcen Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Department of Electrical Engineering and Automation Aalto University Helsinki Finland

ISBN: (数字)9781728170190

ISBN: (纸本)9781728170206

Due to its special features, the Magnus effect wind turbine allows you to produce energy at a very low speed of the wind. This fact, as well as the growing interest in the of blockchain technology, makes it possible to use this type of wind turbine in private household as part of a distributed energy system in addition to solar panels. The article describes a two blades Magnus wind turbine whose cylinders rotate by means of embedded motors. To avoid a von Karman vortex street effect that occur when the cylinders rotate in the air flow, as well as to ensure maximum power, the optimal ratio between the wind speed and the cylinder rotation speed is determined using finite element analysis. Further, the obtained relations are used in the algorithms of the wind turbine control system.

关键词： Wind turbines Force Wind speed Generators Mathematical model Torque control systems

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Experimental Prototype of High-Efficiency Wind Turbine Based on Magnus Effect

Experimental Prototype of High-Efficiency Wind Turbine Based...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Aleksandr Lukin Galina L. Demidova Dmitry V. Lukichev Anton Rassõlkin Ants Kallaste Toomas Vaimann Anouar Belahcen Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallin Estonia Department of Electrical Engineering and Automation Aalto University Helsinki Finland

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

The main feature of Magnus wind turbine is the ability to produce energy at low wind speed. This benefit lets to use such types of turbines in smart homes, which are an important part of the development of distributed energy systems, growth of blockchain electricity technology and needs for duplication of the solar energy system in the private buildings. This paper presents topology of two cylinders Magnus wind turbine in order to ensure the highest values of power coefficient and the Magnus force. The optimal ratio of wind speed and cylinder rotation speed were detected to eliminate the oscillations caused by the Von Karman vortex street phenomenon.

关键词： Wind turbines Force Drag Rotors Mathematical model Wind speed Generators

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Correction to: Revision of the 1994 World Health Organization T-score definition of osteoporosis for use in older East Asian women and men to reconcile it with their lifetime risk of fragility fracture

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Skeletal radiology 2024年第4期53卷 627-628页

作者： Yi Xiang J Wáng James F Griffith Glen M Blake Daniele Diacinti Ben-Heng Xiao Wei Yu Yi Su Yebin Jiang Giuseppe Guglielmi Ali Guermazi Timothy C Y Kwok Department of Imaging and Interventional Radiology Faculty of Medicine The Chinese University of Hong Kong Shatin Hong Kong SAR China. yixiang_wang@cuhk.edu.hk. Department of Imaging and Interventional Radiology Faculty of Medicine The Chinese University of Hong Kong Shatin Hong Kong SAR China. School of Biomedical Engineering and Imaging Sciences King's College London St Thomas' Hospital London UK. Department of Radiological Sciences Oncology and Pathology Sapienza University of Rome Rome Italy. Department of Radiology Peking Union Medical College Hospital Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China. Key Laboratory of Molecular Epidemiology of Hunan Province School of Medicine Hunan Normal University Changsha Hunan China. VA Healthcare System University of Michigan Ann Arbor MI USA. Radiology Unit Department of Clinical and Experimental Medicine Foggia University School of Medicine Foggia Italy. Department of Radiology Scientific Institute "Casa Sollievo della Sofferenza" Hospital San Giovanni Rotondo Italy. Department of Radiology Boston University School of Medicine Boston MA USA. Jockey Club Centre for Osteoporosis Care and Control Faculty of Medicine The Chinese University of Hong Kong Shatin Hong Kong SAR China. Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin Hong Kong SAR China.

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Formulation and Simulation of Receding Horizon control over Mixed Logical Dynamical system

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IFAC-PapersOnLine 2018年第6期51卷 390-395页

作者： Misik, Stefan Arm, Jakub Bradac, Zdenek Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic

Often the modeling of optimal predictive distributed and/or event-triggered control involve combination of linear dynamical models and logical variables. The most suitable tool for modeling such systems is the Mixed Logical Dynamical (MLD) framework. The aim of this paper is to present mathematical formulation and of such model under Receding Horizon control (RHC) and a method of implementing such model and control in Matlab environment. Also an illustrative example of an MLD model formulation and simulation is shown in the second part of the paper. © 2018

关键词： MATLAB

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Synchronous data collection measuring system using a single-chip computer

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IFAC-PapersOnLine 2019年第27期52卷 68-73页

作者： Jiří Czebe Pavel Šuránek Jiří Tůma Stanislav Žiaran Department of Control Systems and Instrumentation Faculty of Mechanical Engineering VSB-TUO Ostrava Czech Republic Department of Control Systems and Instrumentation Faculty of Mechanical Engineering VSB- TUO Ostrava Czech Republic Institute of Applied Mechanics and Mechatronics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia

Paper deals with synchronous data collection using a single-chip computer. It states an essential description of a measurement system’s feedback, which consists of two lasers and two encoders. Description of the whole measuring chain, with a brief introduction of a measurement unit, follows. The next part focuses on a firmware description of the measurement unit (measuring and communication processed) and communication peripherals and an external LAN module. Enhancement of the whole process using DMA controller and communication techniques with used sensors or modules. Finally, synchronous data collection is presented to ensure the proper functionality of the whole measuring system with the best possible measurement results.

关键词： Embedded systems Microprocessors Industry automation Data acquisition

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