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Research on workflow recognition for liver rupture repair surgery

Mathematical Biosciences and engineering 2024年第2期21卷 1844-1856页

作者： Men, Yutao Zhao, Zixian Chen, Wei Wu, Hang Zhang, Guang Luo, Feng Yu, Ming Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Medical Support Technology Research Department Systems Engineering Institute Academy of Military Sciences People’s Liberation Army Tianjin300161 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as hemorrhage and shock. Surgical workflow recognition in liver rupture repair surgery videos presents a significant task aimed at reducing surgical mistakes and enhancing the quality of surgeries conducted by surgeons. A liver rupture repair simulation surgical dataset is proposed in this paper which consists of 45 videos collaboratively completed by nine surgeons. Furthermore, an end-to-end SA-RLNet, a self attention-based recurrent convolutional neural network, is introduced in this paper. The self-attention mechanism is used to automatically identify the importance of input features in various instances and associate the relationships between input features. The accuracy of the surgical phase classification of the SA-RLNet approach is 90.6%. The present study demonstrates that the SA-RLNet approach shows strong generalization capabilities on the dataset. SA-RLNet has proved to be advantageous in capturing subtle variations between surgical phases. The application of surgical workflow recognition has promising feasibility in liver rupture repair surgery. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons.

关键词： Image classification

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Development of a Method of Automatic Single Phase to Earth Fault Current Compensation in Networks with Arc Suppression Coil in Neutral Point 5

Development of a Method of Automatic Single Phase to Earth F...

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5th International Youth Scientific and Technical Conference Relay Protection and Automation, RPA 2022

作者： Kutumov, Yu. D. Shadrikova, T.Yu. Shuin, V.A. Ivanovo State Power Engineering University Jsc so Ups Branch of Ido Center Automatic Control of Electrical Power Systems Department Ivanovo Russia

ISBN: (数字)9798350399912

ISBN: (纸本)9798350399912

At the present time approximately 20% of 6-10 kV cable networks operate with resonant-grounded via arc-suppression coil (ASC) neutral point [1]. Meanwhile, an increasing number of experts note that resonant grounding of neutral point via ASC cannot solve the issue of single phase to earth faults (SPEF) negative consequences and their most dangerous variation, which is called intermittent arc single phase to earth fault (IASPEF) [for example, 2]. The main reasons for the inadequate efficiency of this neutral grounding mode are higher harmonic components in steady-state SPEF current, as well as higher harmonic components which are due to intensive transient processes during SPEF, which cannot be compensates by the usage of ASC. For the compensation of these components it is necessary to apply the devices, which will be complement ASC;these devices, together with the ASC, can be called a system of full compensation of the SPEF current. © 2022 IEEE.

关键词： Electric grounding

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An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation 16

An Interacting Multiple Model Correntropy Kalman Filter Appr...

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16th International Conference on INnovations in Intelligent systems and Applications, INISTA 2022

作者： Candan, Fethi Beke, Aykut Shen, Chen Mihaylova, Lyudmila University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom Aselsan Department of Control Systems Design Ankara06750 Turkey 310018 China

ISBN: (数字)9781665498104

ISBN: (纸本)9781665498104

This paper compares a conventional interacting multiple model Kalman filter (IMM-KF) filter and an interacting multiple models with maximum correntropy Kalman filter (IMM-MCKF). A nonlinear UAV dynamics model was used to compare these two methods. The compared filters estimated the position of the UAV under the noise distribution. Although KF has reliable accuracy, MCKF has got better results under non-Gaussian or mixed distributions. At this point, these filters have been investigated under maneuver and non-maneuver motion, and it is known that better advantages will be shown when both filters are used in the IMM. These filters have been compared under non-Gaussian distributions, and the Student's-T distribution has been selected as a non-Gaussian type. The performance validation and testing stages are carried out with variable degrees of freedom, and scaling matrix factors for the Student's-T distributions have been used. Results from simulation tests from 3000 independent Monte-Carlo runs are presented. In these experiments, UAV models and UAV trajectory results have been used. © 2022 IEEE.

关键词： Kalman filters

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Development and Research of the Rogowsky Coil design with Low Sensitivity to Conductor Displacement

Development and Research of the Rogowsky Coil Design with Lo...

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2022 International Ural Conference on Electrical power engineering, UralCon 2022

作者： Yablokov, Andrey Kabakov, Pavel Ivanovo State Power Engineering University Named after V.I. Lenin Department of Electric Power Systems Automatic Control Ivanovo Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The Russian energy sector underwent significant changes at the end of the 20th and the beginning of the 21st century [1]. The rapid development of engineering and technology in Russia inevitably led to a constant increase in the power system capacity, which in turn led to an increase in the levels of short circuit (SC) currents. Under such conditions, the problems of ensuring static and dynamic stability, the development of automatic emergency control (AEC) systems and the creation of new types of relay protection and automation systems (RPA) have become priority issues for the development of the electric power industry [2]. In particular, recently one of the most important issues is the creation of more advanced current sensors based on non-traditional primary converters [3-7]. A huge breakthrough in solving the tasks was made thanks to the development of computer technology. Electromagnetic and static relays were replaced by microprocessor technologies, the main advantage of which is a high-resistance input, which allows to use previously inaccessible low-power devices. One of these devices is the Rogowski coil, which is one of the types of nontraditional primary current converters. The disadvantage of the split Rogowski coil is the dependence of the metrological characteristics of the transducer on the position of the conductor. This article is devoted to the development of methods for reducing this dependence. © 2022 IEEE.

关键词： Automation

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Distribution Characteristics and Health Risk Assessment of Antimony in Atmospheric Particulates in a Northern City of China

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Chemical Research in Chinese Universities 2023年第3期39卷 465-471页

作者： SHEN Yiwen ZHAO Hao ZHAO Changxian DONG Shuofei CAO Yuanming XIE Jiaojao LYU Meiling YUAN Chungang Hebei Key Lab of Power-plant Flue Gas Multi-pollutants Control Department of Environmental Science&EngineeringNorth China Electric Power UniversityBaoding071000P.R.China Key Laboratory of Resources and Environmental Systems Optimization Ministry of EducationCollege of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing102206P.R.China Agilent Technologies Co. Ltd.(China)Beijing100102P.R.China

Over the last several decades,scientists have established a wealth of evidence to demonstrate the risks posed to human health by toxic elements in atmospheric particulate matter(PM).Antimony(Sb),as one of ever ignored PM-bound heavy metals,attracts more and more attentions and has been regarded as one emerging air pollutant with the change of pollution sources of particulate *** study the distribution of Sb in PM with different particle sizes is of great practical significance for understanding its source and health *** this study,the size distributions of Sb in PM(PM_(2.5),PM_(10)and TSP)in different seasons were studied from July 2018 to May *** high concentration of PM-bound Sb was found and the health risk was *** was enriched in fine particles and showed higher values in winter,which was probably caused by coal combustion and meteorological *** was also found that traffic-related non-exhaust emissions might become another main contribution to fine particle *** risk assessment demonstrated that the hazard quotient(HQ)of Sb in PM_(2.5)and PM_(10)for children(PM_(2.5):1.54,PM_(10):1.32)exceeded the acceptable threshold and ingestion contributed the most to the HQ for both children and adults.

关键词： Particulate matter(PM) Antimony Size distribution Health risk

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Effect of Positive Temperature Coefficient Materials on the AC Breakdown Strength and Dielectric Properties of Epoxy Composites 4th

Effect of Positive Temperature Coefficient Materials on the ...

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4th International Symposium on Insulation and Discharge Computation for power Equipment, IDCOMPU 2023

作者： Teng, Chenyuan Li, Shuo Zhou, Yuanxiang Zhang, Ling Zhang, Yunxiao Huang, Meng College of Information Engineering Zhejiang University of Technology Hangzhou310023 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819974122

In operation, the negative temperature coefficient (NTC) electrical resistivity characteristics of polymeric insulating materials causes DC electric field distortion within power equipment insulation and lead to the failure. The doping of positive temperature coefficient (PTC) ceramic particles can suppress the NTC characteristics of the composites, but the electrical properties under AC voltages are unrevealed. In this paper, epoxy composites (0–20 wt%) doped with polydopamine-coated PTC particles were prepared, whose AC breakdown strength and dielectric properties were tested. The results shows that the decrease of AC dielectric strength is smaller than that under DC voltages after the doping PTC particles, and the coating of polydopamine can enhance the AC dielectric strength. As the doping content increases, the dielectric constant and tanδ of the epoxy composites increases, and the maximum increase of dielectric loss power is about 2% of the loss power caused by the current-carrying conductor. The research provides a theoretical basis for the optimization of the insulating performance of the equipment under the AC-DC composite voltages. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： Epoxy resins

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Multi-Timescale Trading Strategy for Renewable power to Ammonia Virtual power Plant in the Electricity, Hydrogen, and Ammonia Markets

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2023年第4期1卷 322-335页

作者： Wu, Sirui Lin, Jin Li, Jiarong Liu, Feng Song, Yonghua Xu, Yanhui Cheng, Xiang Yu, Zhipeng Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100087 China Tsinghua University Sichuan Energy Internet Research Institute Chengdu610213 China University of Macau Department of Electrical and Computer Engineering Macau999078 China Tsinghua University Department of Electrical Engineering Beijing100087 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China

Renewablepower to ammonia (RePtA) is a prominent zero-carbon pathway for decarbonization. Due to the imbalance between renewables and production energy demand, the RePtA system relies on electricity exchange with the power grid. Participating in the electricity market as a virtual power plant (VPP) may help to reduce energy costs. However, the power profile of local photovoltaics and wind turbines is similar to those in the market, resulting in rising energy costs under the conventional strategy. Hence, we develop a multi-timescale trading strategy for the RePtA VPP in the electricity, hydrogen, and ammonia markets. By utilizing the hydrogen and ammonia buffer systems, the RePtA VPP can optimally coordinate production planning. Moreover, we find it possible to describe the trading of electricity, ammonia, and hydrogen in a unified timeframe. The two-stage robust optimization model of the electricity market is extended to multiple markets and solved by the column and constraint generation (CC&G) algorithm. The case is derived from an actual project in the Inner Mongolia Autonomous Region. Sensitivity analysis demonstrates the economic advantages of the RePtA VPP joining multiple markets over the conventional strategy and reveals the necessity of the hydrogen and ammonia buffer and reactor flexibility. © 2023 IEEE.

关键词： Ammonia

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Analysis of the Findings of the Study of the Time to Saturation of Current Transformer Magnetic Circuits Located at Electric power Facilities

Analysis of the Findings of the Study of the Time to Saturat...

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International Ural Conference on Measurements (UralCon)

作者： Andrey Yablokov Anton Panashchatenko Department of Electric Power Systems Automatic Control Ivanovo State Power Engineering University “ISPU” Ivanovo Russian Federation

ISBN: (数字)9798350386028

ISBN: (纸本)9798350386035

Emergencies associated with incorrect operation of relay protection and automation (RPA) devices due to saturation of current transformers (CTs) can lead to great economic damage. The article presents an analysis of regulatory and technical documentation containing requirements for the quality of CT functioning in transient modes, statistical data on the results of calculations performed in accordance with the requirements of GOST R 58869–2019, as well as an analysis of the correctness of the assumptions introduced by it. To calculate the time to CTs saturation a special program was developed that automates the calculation methods, taking into account the assumptions focused on performing the manual calculations. The program takes into account the variation of the short circuit switching angle, the phase difference of the short circuit currents flowing through the branches feeding the short circuit point, the calculation of all CTs of a three-phase group with automatic selection of the worst result. The results obtained allow us to conclude about the relative number of CTs that do not meet the requirements of GOST R 58869–2019, the need to modernize existing methods and possible directions for such modernization. In addition, the article provides recommendations on the creation of automatic specialized software systems that can be used in the work of design, operating and research entities when they calculate the time to saturation of the CT magnetic circuits.

关键词： Current transformers Short-circuit currents Protective relaying Time measurement power grids Circuit faults Transient analysis Protection Magnetic circuits Fault currents

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A critical review on the technique and mechanism of microwave-based denitrification in flue gas

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Journal of Environmental Sciences 2022年第10期34卷 144-157页

作者： Bo Yuan Zhen Qian Zili Zhangc Le Fu Shihang Pan Runlong Hao Yi Zhao Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding 071003China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Fujian Special Equipment Inspection and Research Institute FuzhouFujian 350008China

Microwave radiation has received extensive attention due to its significant thermal and nonthermal effects, and the development of MW-based denitrification in flue gas has become one of the most promising methods to avoid the defects of ammonia escape, high temperature and cost in traditional SCR. This review introduces the thermal and non-thermal effects of microwaves and divides MW-based denitrification methods into MW reduction and oxidation denitrification, systematically summarizes these denitrification methods, including MW discharge reduction, MW-induced catalytic reduction using active carbon, molecular sieves, metal oxides(transition metals, perovskites, etc.), MW-induced oxidation denitrification with and without additional oxidant, and discusses their removal pathway and mechanism. Finally, several research prospects and directions regarding the development of microwave-based denitrification methods are provided.

关键词： Microwave Denitrification Reduction Oxidation Radical

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Phase Segmentation of Ni/YSZ Anode for Solid Oxide Fuel Cells by Deep Learning

Phase Segmentation of Ni/YSZ Anode for Solid Oxide Fuel Cell...

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243rd ECS Meeting

作者： Wang, Y. Matsui, Y. Hosomizo, A. Kishimoto, M. Han, M. Iwai, H. Department of Mechanical Engineering and Science Kyoto University Nishikyo-ku Kyoto615-8540 Japan State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Energy and Power Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9781607685395

A deep learning network is implemented for the phase segmentation of Ni/YSZ anode of solid oxide fuel cells (SOFCs), as manual segmentation of focused ion beam-scanning electron microscopy (FIB-SEM) images is time-consuming. Segmentation is performed on two samples with different volume ratios of Ni to YSZ. The mean intersection over union (mIoU) reaches 0.9363, indicating good agreement between the predicted images and the manually segmented images. Furthermore, the impact of image augmentation on segmentation accuracy is investigated, and it is found that augmentation is necessary when the number of images in the training set is small or the training and testing sets come from different samples. Furthermore, mixing a sixth of manually segmented images from a new sample into the training set can significantly improve the accuracy of automated segmentation for the new sample. This strategy reduces the number of images requiring manual segmentation and improves processing efficiency. © The Electrochemical Society.

关键词： Solid oxide fuel cells (SOFC)

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