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arXiv 2024年

作者： Budagam, Devichand Ghosh, Sayan Imanbayev, Azamat Zhanatuly Kaplun, Dmitrii Rychenkov, Artem Sinitca, Aleksandr Kumar, Ayush Shrivastav, Anuj Akhmetov, Iskander Rafailovich Antonov, Sergey Cyganov, Gleb Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Kharagpur India Department of Chemical Engineering Indian Institute of Technology Kharagpur Kharagpur India School of IT and Engineering Kazakh-British Technical University Almaty Kazakhstan Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Processes St. Petersburg Electrotechnical University"LETI" St. Petersburg Russia Centre for Digital Telecommunication Technologies St. Petersburg Electrotechnical University"LETI" St. Petersburg Russia Department of Humanities and Social Sciences Indian Institute of Technology Kharagpur Kharagpur India Department of Architecture and Regional Planning Indian Institute of Technology Kharagpur Kharagpur India Faculty of Digital Transformation ITMO University St. Petersburg Russia

Teeth segmentation and recognition are critical in various dental applications and dental diagnosis. Automatic and accurate segmentation approaches have been made possible by integrating deep learning models. Although teeth segmentation has been studied in the past, only some techniques were able to effectively classify and segment teeth simultaneously. This article offers a pipeline of two deep learning models, U-Net and YOLOv8, which results in BB-UNet, a new architecture for the classification and segmentation of teeth on panoramic X-rays that is efficient and reliable. We have improved the quality and reliability of teeth segmentation by utilising the YOLOv8 and U-Net capabilities. The proposed networks have been evaluated using the mean average precision (mAP) and dice coefficient for YOLOv8 and BB-UNet, respectively. We have achieved a 3% increase in mAP score for teeth classification compared to existing methods, and a 10-15% increase in dice coefficient for teeth segmentation compared to U-Net across different categories of teeth. A new Dental dataset was created based on UFBA-UESC dataset with Bounding-Box and Polygon annotations of 425 dental panoramic X-rays. The findings of this research pave the way for a wider adoption of object detection models in the field of dental diagnosis. © 2024, CC BY.

关键词： Object detection

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Numerical Investigation of Localized Surface Plasmon Resonance (LSPR) based Sensor for Glucose Level Monitoring

Numerical Investigation of Localized Surface Plasmon Resonan...

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First International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics (ICA-SYMP)

作者： Kawintida Santavanond Charusluk Viphavakit Wisarn Patchoo Hala El-Khozondar Waleed Mohammed Faculty of Engineering International School of Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering International School of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand Islamic University of Gaza Gaza Palestine The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand

ISBN: (数字)9781728187600

ISBN: (纸本)9781728187617

This study aims to apply Localized Surface Plasmon Resonance (LSPR), Maxwell Garnett's formula, and Fabry-Perot theory together to design and develop a LSPR enhanced gold colloidal nanoparticles (AuNPs) sensor to be used in biomedical applications such as detection of glucose level in urine for early stage screening of diabetic patients. In this work, the LSPR based sensor has been designed and studied numerically to detect the glucose level from the change in the effective index resulting in a red shift of the absorption peak. The sensors were designed to have various sizes of the gold nanoparticles in a range between 20 nm and 100 nm by having different molar ratio with Trisodium Citrate (TSC) which acts as stabilizer in the synthesis. The maximum possible sensitivity of the sensor can be achieved with 70 nm diameter of gold nanoparticles at 0.2 volume fraction of AuNP to glucose solution.

关键词： Nanoparticles Gold Sensitivity Robot sensing systems Glucose Optical sensors Surface plasmons

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Research on Temperature Error Calibration Method of Fluxgate Sensor 11th

Research on Temperature Error Calibration Method of Fluxga...

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11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024

作者： Yang, Ruiping Ge, Jian Luo, Wang Hu, Xiangyun She, Jinhua Chugo, Daisuke Dong, Haobin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Faculty of Engineering Kwansai Gakuin University Osaka669-1330 Japan School of Geophysics and Geomatics China University of Geosciences Wuhan430074 China Hubei Subsurface Multi-scale Imaging Key Laboratory Wuhan430074 China School of Engineering Tokyo University of Technology Hachioji Tokyo192-0982 Japan

ISBN: (纸本)9789819647521

The fluxgate sensor is the most widely used sensor in vector magnetic measurement. However, during long-term continuous observation, the fluxgate sensor will produce large measurement errors due to changes in ambient temperature. This paper proposes a temperature calibration method for the fluxgate sensor based on polynomial fitting to address the temperature error of fluxgate sensors. First, the effect of temperature on the performance indicators of the fluxgate sensor was analyzed. Second, according to the existing temperature-magnetic field data, a temperature calibration model of the fluxgate sensor was constructed. And compared it with other temperature calibration method, the result shows that the proposed temperature calibration method is relatively simple and can better achieve real-time calibration for sensor application scenarios. Finally, to verify the effectiveness of the proposed method, numerous laboratory experiments were implemented. The temperature drift was reduced from about 700 nT before calibration to about 1 nT, root mean square error RMSE=11.7189, indicating that the proposed method has a good temperature calibration effect on the data measured by the fluxgate sensor within the variable temperature background. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Curve Fitting Fluxgate Sensor Temperature Calibration

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Stimulated-emission based model of fast radio bursts

arXiv

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arXiv 2020年

作者： Dogan, Mustafa Ekşi, Kazım Yavuz Istanbul Technical University Faculty of Electrical-Electronics Engineering Department of Control and Automation Engineering Istanbul34469 Turkey Istanbul Technical University Faculty of Science and Letters Physics Engineering Department Istanbul34469 Turkey

Fast radio bursts (FRBs) are bright, short-duration radio transients with very high brightness temperatures implying highly coherent emission. We suggest that the FRBs are caused by the self-focusing of an electron beam interacting with an ambient plasma right beyond the light cylinder radius of a neutron star. The magnetic field at the light cylinder radius is relatively high which can accommodate both young Crab-like systems and old millisecond pulsars addressing the diverse environments of FRBs. At the first stage, the intense pulsed-beam passing through the background plasma causes instabilities such that the trapped particles in local Buneman-type cavitons saturate the local field. The beam is then radially self-focused due to the circular electric field developed by the two-stream instability which leads to Weibel instability in the transverse direction. Finally, the non-linear saturation of the Weibel instability results in the self-modulational formation of solitons due to plasmoid instability. The resonant solitary waves are the breather-type solitons hosting relativistic particles with self-excited oscillations. The analytical solutions obtained for non-linear dispersion and solitons suggest that, near the current sheets, the relativistic bunches are accelerated/amplified by klystron-like structures due to self-excited oscillations by the induced local electric field. Boosted coherent radio emission propagates through a narrow cone with strong focusing due to radial electric field and magnetic pinching. The non-linear evolution of solitons and the stimulated emission are associated with the Buneman instability and the possibility of the presence of nanosecond shots in FRBs are investigated. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetic fields

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Development of the International Standard for Industrial Facility Energy Management Systems (FEMS), IEC 63376

Development of the International Standard for Industrial Fac...

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SICE Annual Conference

作者： Tomoyuki Ikeyama Kazuo Sueyoshi Michihisa Suzuki Sei Sasaki Tetsuro Matsui Takuya Watanabe Ken'ichi Kamada Lee Peoy Ying Yoshiharu Amano JEITA Control and Energy Management Committee -WG1 Energy Management Technology Marketing Division Marketing Headquarters Yokogawa Electric Corporation Tokyo Japan Advanced Automation Company Azbil Corporation Tokyo Japan Global Business Division Ebara Densan Ltd. Tokyo Japan Digital Innovation Laboratory Corporate R&D Headquarters Fuji Electric Co. Ltd. Tokyo Japan Innovation Center Marketing Headquarters Yokogawa Electric Corporation Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan

ISBN: (数字)9784907764838

ISBN: (纸本)9798331544461

Improving energy efficiency and reducing fossil energy-based operations are required to mitigate global warming. Industrial fields consume large amount of energy and are expected to play significant roles in the measures to mitigate global warming. Several industrial facilities are operated intricately in their production activities. Multiple products are manufactured concurrently to adhere to their quality, product cost, and due date. Their energy consumptions affect each other. Therefore, industrial facility energy management system (FEMS) is required and sold by many suppliers. Because energy consumption of plants are depended on their products, FEMS are constructed to meet their specific requirements; thus, it is difficult to develop international standard for FEMS. Recently, use cases with energy interchange between multiple plants are increasing; thus, common understanding of energy management process with FEMS and information exchange between the factories are needed. So, Japan Electronics and Information Technology Industries Association led a development project and suggested an FEMS international standard. In this paper, development international standard process including clarification of background and current issues; additionally, a consensus in IEC discussion and outline of the published standard are described.

关键词： Energy consumption Industrial facilities Global warming Iron Finite element analysis IEC Standards Energy management systems Information technology Standards Information exchange

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EigenMPC: An Eigenmanifold-Inspired Model-Predictive control Framework for Exciting Efficient Oscillations in Mechanical Systems

EigenMPC: An Eigenmanifold-Inspired Model-Predictive Control...

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IEEE Conference on Decision and control

作者： Andre Coelho Alin Albu-Schaeffer Arne Sachtler Hrishik Mishra Davide Bicego Christian Ott Antonio Franchi Institute of Robotics and Mechatronics of the German Aerospace Center (DLR) Oberpfaffenhofen Germany Dextrous Robotics Inc Memphis TN USA Robotics and Mechatronics Lab Faculty of Electrical Engineering Mathematics & Computer Science University of Twente Netherlands Department of Informatics Technical University of Munich Germany Automation and Control Institute (ACIN) Technical University of Vienna Austria LAAS-CNRS University of Toulouse France

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

This paper proposes a Nonlinear Model-Predictive control (NMPC) method capable of finding and converging to energy-efficient regular oscillations, which require no control action to be sustained. The approach builds up on the recently developed Eigenmanifold theory, which defines the sets of line-shaped oscillations of a robot as an invariant two-dimensional submanifold of its state space. By defining the control problem as a nonlinear program (NLP), the controller is able to deal with constraints in the state and control variables and be energy-efficient not only in its final trajectory but also during the convergence phase. An initial implementation of this approach is proposed, analyzed, and tested in simulation.

关键词： Analytical models Aerospace electronics Energy efficiency Trajectory Mechanical systems Oscillators Robots

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The Energy Efficiency of a Prosumer in a Photovoltaic System

The Energy Efficiency of a Prosumer in a Photovoltaic System

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International Symposium for Design and Technology of Electronics Packages (SIITME)

作者： Marius-Alexandru Dobrea Stefan Bichiu Ioana Opris Mihaela Vasluianu Faculty of Automatic Control and Computer Science UPB Bucharest Romania Faculty of Power Engineering UPB Bucharest Romania Collective of Automation and Applied Informatics Faculty of Hidrotehnics UTCB Bucharest Romania

ISBN: (数字)9781728175065

ISBN: (纸本)9781728175072

This article aims to calculate the net income achieved by a prosumer for an existing On-Grid system of photovoltaic panels consisting of a set of 12 poly crystalline panels with a nominal power of 250 Wand 60 cells and an On-Grid inverter (StecaGrid model) with a maximum power of 3000 W. The prosumer is located in southern Romania, Ilfov County. Modeling of the photovoltaic panel in Matlab / SIMULINK was performed using a mathematical model, and it was compared with a real data set. Next, an analysis was made of the energy produced by the photovoltaic system, and the energy consumed by the prosumer, the excess energy being introduced in the national energy system. We have achieved a net income saving for March, so the analyzed photovoltaic system has energy efficiency that can significantly reduce electricity costs over time. Thus, using the Matlab / Simulink model, photovoltaic systems can be designed to satisfy the needs of prosumers.

关键词： Photovoltaic systems Mathematical model Solar power generation Software packages Inverters Temperature Temperature measurement

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Uncertainty Minimization and Feasibility Study for Managing the Complex and Interacting Anesthesia-Hemodynamic System *

Uncertainty Minimization and Feasibility Study for Managing ...

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IEEE Conference on Decision and control

作者： Mihaela Ghita Dana Copot Isabela R. Birs Cristina I. Muresan Robin De Keyser Martine Neckebroek Michel M. R. F. Struys Clara M. Ionescu Department of Electromechanics Systems and Metal Engineering Faculty of Engineering and Architecture Ghent University Gent Belgium EEDT – lab on Decision and Control Flanders Make Gent Belgium Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Anesthesiology Ghent University Hospital Gent Belgium Department of Anesthesiology University Medical Center Groningen University of Groningen Groningen The Netherlands Department of Basic and Applied Medical Sciences Ghent University Gent Belgium

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

A novel control strategy is proposed to enable uncertainty minimization through knowledge infusion into the closed loop. The developed methodology aims the application of predictive control to regulate the complex anesthetic- hemodynamic (AH) interaction in a set of patients during general anesthesia. A special focus is given to solutions for minimizing the risk of instability arising from large uncertainty in the patient model dynamics. The paper explores the concept of digitalizing surgical actions as part of the natural mimicking strategy of actual anesthesiologists’ real-life decision-making process. The simulations supporting the claims use an AH simulator. A feasibility study for solutions in an actual constrained input-output variable set is performed. Results confirm that the feasibility is enhanced when minimizing uncertainty conditions, having important clinical relevance in multi-drug optimization.

关键词： Uncertainty Decision making Surgery Minimization Anesthesia Hemodynamics Optimization

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Event-Triggered Sliding Mode control Strategies for Positioning Systems: An Experimental Assessment

Event-Triggered Sliding Mode Control Strategies for Position...

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International Workshop on Advanced Motion control (AMC)

作者： Andrej Sarjaš Martin Steinberger Dušan Gleich Martin Horn Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Graz University of Technology Institute of Automation and Control Graz Austria

ISBN: (数字)9781728131894

ISBN: (纸本)9781728131900

The paper presents experimental assessments of different event-triggered sliding mode control strategies. The main purpose of the event-triggered control approach is to reduce the system utilization and relax the scheduling of the tasks on real-time systems. Event triggering is a real-time implementation technique, where the execution of the controller is not fixed to a preselected sampling time. The stability and performance of the controlled system need to be preserved with regard to the sporadic nature of the controller update. Sliding mode controllers are employed in the context of event-triggering to achieve robustness with respect to matched perturbations. Three different sliding mode event-triggered strategies are evaluated on the real-time positioning system. All the obtained experimental results are compared to a time-triggered version. The results confirm that event-triggering sliding mode control is well suited and reduce the system use drastically.

关键词： Tracking Computational modeling Real-time systems Stability analysis Robustness Task analysis Sliding mode control

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Structural reduction of CRNs with linear sub-CRNs

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IFAC-PapersOnLine 2021年第14期54卷 149-154页

作者： Katalin M. Hangos György Lipták Gábor Szederkényi Systems and Control Laboratory Computer and Automation Research Institute P.O. Box 63 H-1518 Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary Faculty of Information Technology and Bionics Péter Pázmány Catholic University Budapest Hungary

A novel systems theory-based structural reduction method is proposed in this paper that can be applied to chemical reaction networks (CRNs) including subsystems consisting of linear reactions, i.e. a linear sub-CRN. The reduced model is a delayed CRN with distributed delays having less complexes (monomials) and reactions than the original model. The reduction is based on the fact that the input/output response of a linear sub-CNR can be seen as a time-delayed input to output relationship, therefore linear sub-CNRs can be interpreted as reactions with distributed delay from their input to their output complexes. The practically important example of a kinetic model describing the spread of the COVID-19 epidemic is used as a case study to illustrate the basic concepts and the computation method.

关键词： Delay Model reduction Chemical Reaction Networks COVID

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