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IEEE International Conference on Plasma Science (ICOPS)

作者： X. Chen A. Pikalev V. Guerra G.-J. Zhang R. Van De Sanden School of Electrical Engineering and Automation Shaanxi Xi an Jiaotong University Xi’an China Plasma Solar Fuels Devices Dutch Institute for Fundamental Energy Research Eindhoven Netherlands Instituto Superior Técnico Instituto de Plasmas e Fusão Nuclear Lisboa Portugal Department of Applied Physics Eindhoven University of Technology Eindhoven Netherlands

ISBN: (数字)9798350360912

ISBN: (纸本)9798350360929

The exploration of Mars needs in-situ resource utilization (ISRU) on Mars for life-maintaining, energy and food production [1]. The Martian atmosphere is primarily co 2 (95.9%), Ar(1.9 %) and N 2 (1.9%). The abundantco 2 from the Mars atmosphere can be converted directly into O 2 and CO, which can be used for breathing and energy conversion respectively. Among all the co 2 conversion and oxygen production technologies, the most promising one is to combine the non-thermal plasmas and the solid oxide electrolyte cell (SOEC) with an oxygen separation membrane. Non-thermal plasma provides a highlychemical-activated environment to break the stable carbon-oxygen double bonds, and the SOEC can separate the o 2 w from the plasma environment for breathing, which also inhibits the backward reaction of CO combing with o 2 to form co 2 . The plasma-SOEC synergy effects have been reported by several researchers [2, 3] but no detailed investigations of the plasma-SOEC performance enhancement have been conducted. The principle behind it is still unclear.

关键词： Mars Atmosphere Production Energy conversion Solids Electrolytes Plasmas

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Segmented Prediction Model of Lithium-ion Battery Remaining Useful Life Based on LSTM and SVR

Segmented Prediction Model of Lithium-ion Battery Remaining ...

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IEEE International Conference of Intelligent Robotic and Control engineering (IRCE)

作者： Yingzhou Wang Chengyuan Liu Xiuyu Zhang Yifan Deng Lei Chen Hui Liu Bingzheng Liu Yanhui Zhang College of Automation Engineering Northeast Electric Power University Jilin China Department of Computer Engineering Chongqing Aerospace Polytechnic Chongqing China Shenzhen Branch China Nuclear Industry Maintenance Co. Ltd Shenzhen China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

As an important part of battery health management, accurate prediction on remaining useful life of lithium-ion battery can maintain and replace the batteries in advance to guarantee the safety and stability of the energy storage system. Most extant models use a single model throughout the entire stage for prediction, which may lead to the decrease of the accuracy for subsequent prediction due to insufficient learning, as well as disability to predict battery remaining useful life with data from other batteries. To solve these issues, a segmented prediction model of lithium-ion battery remaining useful life is proposed. In this method, the knee point of the capacity decline curve is detected and then long short-term memory and support vector regression models are used to predict the remaining useful life before and after the knee point, respectively. The experimental prediction results represent that the proposed method achieves higher prediction accuracy compared with long short-term memory method.

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Effects of zero and reversed magnetic shear on resistive wall modes in a limiter tokamak plasma

arXiv

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arXiv 2024年

作者： Wan, Sui Zhu, Ping Li, Haolong Han, Rui State Key Laboratory of Advanced Electromagnetic Technology International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China Department of Nuclear Engineering and Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China CAS Key Laboratory of Geospace Environment Department of Engineering and Applied Physics University of Science and Technology of China Hefei230026 China

Advanced tokamak scenarios often feature equilibriums with zero and reversed magnetic shear. To isolate and investigate their impacts on the resistive wall mode (RWM) instability analytically, we construct a series of cylindrical limiter equilibriums with reversed magnetic shear in the core and zero magnetic shear towards plasma edge, as a prototype of the configurations in advanced tokamak scenarios. Uniform plasma pressure is assumed, so that we can focus our analysis on the current-driven RWMs. Based on the reduced ideal MHD equations, analytical solutions for the n = 1 resistive wall mode are obtained, which indicate that increasing the reversal of magnetic shear in the core region enhances the RWM instability, whereas the widened region of zero shear near edge leads to lower growth rate of RWM, except when the q value with zero magnetic shear approaches rational values. On the other hand, enhanced positive shear at plasma edge is found to be stabilizing on RWM. NIMROD calculation results confirm these analytical findings. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnetoplasma

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Research on Optical Fiber Sensor Signal Processing technology Based on Variational Mode Decomposition and Singular Spectrum Analysis 4

Research on Optical Fiber Sensor Signal Processing Technolog...

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2021 4th International Conference on Mechatronics and Computer technology engineering, MCTE 2021

作者： Dong, ZheHao Ding, YanHong Zhang, ZhiLi Zhu, HaiQiang Electrical Engineering and Automation College TianJin University of Technology TianJin province TianJin city300074 China School of Integrated Circuit Science and Engineering TianJin University of Technology TianJin province TianJin city300074 China Smart Manufacturing Academy Tianjin Sino-German University of Applied Technology TianJin province TianJin city300350 China

To better apply the phase-sensitive optical time-domain reflectometer (Φ-OTDR) in projects with complex environments, given the problem of the low signal-to-noise ratio of the Φ-OTDR signal, a variational modal decomposition (VMD) is proposed. Signal processing algorithm combined with singular spectrum analysis. First, the equalization optimizer (EO) optimizes the VMD. The VMD decomposes the preprocessed signal into a multi-layer eigenmode function (IMF), selects the IMF component according to the correlation coefficient, and after the SSA noise reduction process, the signal Reconstruction to realize the noise reduction processing of the Φ-OTDR signal. Through experiments, it is proved that the relative mean square error (RMSE) of the method in this paper is lower than that of EO-VMD, and the noise reduction performance is better. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Signal reconstruction

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A Novel Method of Abnormal Event Location in Rdts Based on Graphsage

SSRN

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SSRN 2023年

作者： Wang, Yiru Wang, Ziyue Wang, Sibo Wang, Xiang Wang, Yuhang Liu, Tong Wang, Honghui State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu610059 China Key Laboratory of Earth Exploration and Information Technology of Ministry of Education Chengdu University of Technology Chengdu610059 China School of Entrepreneurship & Innovation Tianjin University Tianjin300072 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

Most abnormal detection is performed by converting collected signals into temporal signals and then detecting them by algorithms. In Raman-based Distributed Temperature Sensor (RDTS) systems, because of the spatial continuity of optical fibers, the collected signals are spatial domain signals with huge amount. If it is still detected by temporal signals, it will cause problems such as increase of model number and difficulty of parameters adjustment. After the fiber is affected by temperature, the heat at its center point will diffuse around, and other points near the center of the fiber will be affected, triggering spontaneous Raman scattering light signal intensity change in the fiber. The fundamental reason for the certain relationship between the light signal intensity of these points is their spatial *** exploit this relationship explicitly, we propose a GraphSAGE-based temperature anomaly event localization method (hereafter called DAGD). First, we normalize the collected RDTS signals and feed them into the model to extract the corresponding features. Then, the spatial location of the temperature abnormal event is obtained by binary division of the feature values using a logistic regression function Sigmoid. An RDTS experimental setup has been established to verify the performance of the proposed method. The overall smaller number of false positives and false negatives for the DAGD verifies the better performance of this model, which also shows a classification F-score of 0.93, with an accuracy, precision and recall of 99.16%, 89.74% and 95.69% respectively. © 2023, The Authors. All rights reserved.

关键词： Signal detection

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Reinforcement Learning for Stochastic LQ Control of Discrete-Time Systems with Multiplicative Noises

arXiv

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arXiv 2023年

作者： Li, Hongdan Li, Lucky Qiaofeng Li, Xun Zhang, Zhaorong College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao266590 China College of Computing Data Science and Society University of California BerkeleyCA94720 United States Department of Applied Mathematics The Hong Kong Polytechnic University Kowloon Hong Kong School of Computer Science and Technology Shandong University Qingdao250100 China

This paper considers a stochastic linear quadratic problem for discrete-time systems with multiplicative noises over an infinite horizon. To obtain the optimal solution, we propose an online iterative algorithm of reinforcement learning based on Bellman dynamic programming principle. The algorithm avoids the direct calculation of algebra Riccati equations. It merely takes advantage of state trajectories over a short interval instead of all iterations, significantly simplifying the calculation process. Under the stabilizable initial values, numerical examples shed light on our theoretical results. Copyright © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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In-medium nucleon-nucleon cross sections from characteristics of nuclear giant resonances and nuclear stopping power

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Physical Review C 2023年第6期108卷 064603-064603页

作者： Yi-Dan Song (宋一丹) Rui Wang (王睿) Zhen Zhang (张振) Yu-Gang Ma (马余刚) Department of Physics College of Science University of Shanghai for Science and Technology Shanghai 200093 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai 519082 China Shanghai Research Center for Theoretical Nuclear Physics NSFC and Fudan University Shanghai 200438 China

Based on the Boltzmann-Uehling-Uhlenbeck (BUU) transport equation, a medium correction to the elastic nucleon-nucleon (NN) cross sections is given by comparing the width of the isovector giant dipole resonance in Pb208 and the nuclear stopping obtained from the BUU equation with those from experimental measurements. For the nuclear stopping, we choose the scaled rapidity distributions and the nuclear stopping power vartl, denoted as the ratio of the variances of the transverse to that of the longitudinal rapidity distributions, of central Au197+Au197 collisions at the energy of 150AMeV measured by the INDRA and the FOPI collaborations. This enables us to provide a unified medium correction of elastic NN cross sections for distinct energy regimes. A reliable in-medium NN cross section, as given here, will reduce the uncertainties of the BUU equation when applying it to nuclear collective motion and heavy-ion collisions to extract the information of the nuclear equation of state.

关键词： Giant resonances nuclear reactions Nucleon-nucleon interactions

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Investigation into the flow and heat transfer characteristics in liquid metal cooled narrow rectangular channel with rough surfaces

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Case Studies in Thermal engineering 2025年 72卷

作者： Xue Zhang Wenpei Feng Xiaolong Yang Hongxing Yu Jian Deng Sijia Du Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu 610213 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu 610059 China

This study investigates the impact of roughness elements on fluid flow and heat transfer characteristics in narrow rectangular channels. The results show that when the fluid flows over roughness elements, it induces vortices near the wall, disturbing the flow and heat transfer boundary layers. This enhances heat transfer while simultaneously increasing flow resistance. Among different roughness types, cylindrical roughness elements demonstrate a more substantial improvement in both heat transfer efficiency and friction factor compared to cubic elements. The Nusselt number is found to be non-monotonic related to the height of the roughness elements, while the friction factor increases with height. Additionally, larger roughness element diameters lead to higher Nusselt numbers and friction factors. Further analysis reveals that under conditions where the spacing and height remain unchanged, an increase in the roughness elements quantity results in a diminished enhancement of heat transfer. The base edge length of the roughness elements has a more significant impact on heat transfer capacity than the additional heated area, while the additional area primarily affects the flow resistance, causing the friction factor to increase with the number of roughness elements.

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Mxenes as a versatile nanoplatform: Synthesis and emerging biomedical applications

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Journal of Industrial and engineering Chemistry 2025年 149卷 275-312页

作者： Amani, Ali Mohammad Vafa, Ehsan Mirzae, Maryam Abbasi, Milad Vaez, Ahmad Najdian, Atena Jahanbin, Alireza Kasaei, Seyed Reza Mosleh-Shirazi, Sareh Kamyab, Hesam Chelliapan, Shreeshivadasan Rajendran, Saravanan Guamán, Linda P. Department of Medical Nanotechnology School of Advanced Medical Sciences and Technologies Shiraz University of Medical Sciences Shiraz Iran Critical Care Nursing Nursing and Midwifery School Islamic Azad University Kazerun Branch Kazerun Iran Department of Tissue Engineering and Applied Cell Sciences School of Advanced Medical Sciences and Technologies Shiraz University of Medical Sciences Shiraz Iran The Persian Gulf Nuclear Medicine Research Center Bushehr Medical University Hospital School of Medicine Bushehr University of Medical Sciences Bushehr Iran Department of Materials Science and Engineering School of Engineering Shiraz University Zand Blvd. Shiraz*** Iran Shiraz Endocrinology and Metabolism Research Center Shiraz University of Medical Sciences Shiraz Iran Department of Materials Science and Engineering Shiraz University of Technology Shiraz Iran Department of Biomaterials Saveetha Dental College and Hospital Saveetha Institute of Medical and Technical Sciences Chennai600 077 India The KU-KIST Graduate School of Energy and Environment Korea University 145 Anam-ro Seongbuk-Gu Seoul02841 Korea Republic of Universidad UTE Quito170527 Ecuador Department of Smart Engineering and Advanced Technology Faculty of Artificial Intelligence Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala Lumpur54100 Malaysia Instituto de Alta Investigacion Universidad de Tarapacá Arica1000000 Chile Quito170527 Ecuador

Recently, MXenes have garnered significant attention in academic research due to their remarkable structural, electrical, magnetic, optical, mechanical, and chemical properties. New advancements and emerging findings indicate that MXene, classified as a two-dimensional (2D) layered material, exhibits significantly more potential in the field of biomedicine and biotechnology compared to existing nanosystems. These applications include acting as antibacterial agents, biosensor systems, the delivery and loading of drugs, bioimaging, and therapeutic interventions. The unique characteristics of MXenes, such as their significant electrical conductivity, large surface area, low toxicity, magnetism, luminescence, and high biocompatibility, make them highly promising candidates for diagnostic, therapeutic, and theranostic applications. Surface modifications of MXenes exhibit biocompatibility and have multifunctional functions, including the ability to direct ligands towards specific spots for preferential aggregation, hence enabling their utilization in specialized applications. This paper provides an overview of the characteristics, modifications, and synthesis methods of MXene nanomaterials. The present article also delivers a comprehensive assessment of the practical uses of MXene-based nanomaterials in biomedicine, with a particular focus on biosensing, bioimaging, antibacterial effects, implants, and multifunctional therapeutic platforms. This paper also presents a discussion of the future prospects and challenges associated with the applications of MXenes in the biomedicine field. © 2025 The Korean Society of Industrial and engineering Chemistry

关键词： Biocompatibility

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Pathways for Efficient Transition into Net Zero Energy Buildings (Nzeb) in Sub-Saharan Africa. Case Study: Cameroon, Senegal, and Côte D’Ivoire

SSRN

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SSRN 2023年

作者： Umaru Mohammed, Bongwirnso Wiysahnyuy, Yufenyuy Severine Ashraf, Noman Mempouo, Blaise Mengata, Ghislain Mengounou Department of Building Engineering College of Architecture and Planning Imam Abdulrahman Bin Faisal University Dammam31451 Saudi Arabia Laboratory of Computer Science Engineering and Automation University of Douala Cameroon Smart Green Shift Ltd Rotherham United Kingdom Laboratory of Technology and Applied Sciences University of Douala Cameroon

The combustion of fossil fuels to generate electricity to meet up with high energy demands of buildings, increases pollution;deteriorating the environment and accelerating climate change. The idea of net zero energy buildings (nZEB) was developed to reduce building energy use and pollution. However, there are still many obstacles to implementing the nZEB idea, notably in sub-Saharan Africa, where energy consumption and pollutant emissions from buildings are particularly high. This article focuses on Cameroon, Senegal, and Côte d'Ivoire and proposes guidelines for making a smooth transition to nZEB in sub-Saharan Africa, as are examples of strategies that might be used to minimize energy consumption in buildings and pollution. The path has been shown to consist of the following steps: conducting a baseline assessment;creating building energy codes and standards;conducting a stakeholder analysis;carrying out capacity building and awareness-raising;setting up financing mechanisms and incentives;creating a strong supply chain;setting up a monitoring and evaluation framework;piloting nZEB projects;disseminating best practices;and scaling up adoption. With this plan in place, sub-Saharan Africa can make the most of its resources while preserving the environment as it makes the move to nZEB © 2023, The Authors. All rights reserved.

关键词： Energy utilization

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