检索结果-内蒙古大学图书馆

International Universities Power engineering Conference (UPEC)

作者： Alecksey Anuchin Andrei Bogdanov Galina Demidova Evgeniy Stolyarov Dimid Surnin Yuriy Vagapov Department of Electric Drives Moscow Power Engineering Institute Moscow Russia Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Faculty of Art Science and Technology Wrexham Glyndwr University Wrexham UK

ISBN: (数字)9781728110783

ISBN: (纸本)9781728110790

The precise control of switched reluctance motor requires information about the magnetization surface as a function of rotor angular position and current. The surface can be obtained performing offline tests; however, it demands specialized mechanical equipment and time for commissioning. Moreover, the magnetization surface may be changed with the varying of the rotor and stator temperatures, which affect their dimensions and, therefore, the airgap variation. That is why the online estimation of the magnetization surface is desirable. This paper proposes the identification method operating in parallel with the model predictive current control system utilizing the magnetization map. Any error between the referenced and obtained currents is used to correct the reference points of the two-dimensional array representing the magnetization surface. The proposed method was examined using a simulation model and operated online in parallel with the primary control system driving the electrical machine.

关键词： Magnetization Reluctance motors Rotors Pulse width modulation Couplings Torque

来源：评论

学校读者我要写书评

暂无评论

Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate

arXiv

引用

arXiv 2022年

作者： Zhai, Shixian Jacob, Daniel J. Shah, Viral Yang, Laura Hyesung Zhang, Qiang Sun, Yele Wang, Shuxiao Luo, Gan Yu, Fangqun Woo, Jung-Hun Kim, Younha Kim, Hwajin Dibb, Jack E. Lee, Taehyoung Han, Jin-Seok Li, Ke Liao, Hong John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Department of Earth System Science Tsinghua University Beijing100084 China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Atmospheric Sciences Research Center University at Albany AlbanyNY12226 United States Department of Civil and Environmental Engineering Konkuk University Seoul05029 Korea Republic of Laxenburg 2361 Austria Department of Environmental Health Sciences Graduate School of Public Health Seoul National University Seoul08826 Korea Republic of Institute for the Study of Earth Oceans and Space University of New Hampshire DurhamNH03824 United States Department of Environmental Science Hankuk University of Foreign Studies Yongin449791 Korea Republic of Department of Environmental and Energy Engineering Anyang University Anyang14028 Korea Republic of Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing210044 China

Air quality network data in China and South Korea show very high year-round mass concentrations of coarse particulate matter (PM) between 2.5 μm and 10 μm aerodynamic diameter, as inferred by the difference between PM10 and PM2.5 observations. This coarse PM averages 47 μg m-3 in the North China Plain (NCP) region in 2015-2019 and 21 μg m-3 in the Seoul Metropolitan Area (SMA). It is dominantly contributed by urban fugitive dust, rather than by natural dust as is often presumed. Concentrations decreased by 21% from 2015 to 2019 and further dropped abruptly in 2020 due to COVID-19 reductions in construction and vehicle traffic. This anthropogenic coarse PM is generally not included in air quality models but acts as a sink of nitric acid (HNO3), thus affecting fine particulate nitrate which is a major air quality concern in China and South Korea. GEOS-Chem model simulation of surface and aircraft observations from the KORUS-AQ campaign over the SMA in May-June 2016 shows that consideration of anthropogenic coarse PM largely resolves the previous model overestimate of PM1 nitrate. Anthropogenic coarse PM in the model increases the sensitivity of PM2.5 nitrate to ammonia (NH3) emission in winter. In summer, anthropogenic coarse PM directly affects PM2.5 nitrate by HNO3 uptake, and we find that the decrease of anthropogenic coarse PM over 2015-2019 offset the PM2.5 nitrate reductions expected from decreasing NOx and NH3 emissions. Copyright © 2022, The Authors. All rights reserved.

关键词： Nitrates

来源：评论

学校读者我要写书评

暂无评论

Robust response to NO 2 gas on SnO 2 heater/CNT gas sensor structures

引用

Sensors and Actuators B: Chemical 2025年 442卷

作者： Myoungsu Chae Ikgeun Kwon Doowon Lee Ibtisam Ahmad Mohsin Ali Taegi Kim Yuseong Jang Chanmin Hwang Sanggyu Bang Taehee Lee Dae-un Sung Kyung-woo Lee Hee-Dong Kim Department of Semiconductor Systems Engineering and Convergence Engineering for Intelligent Drone Institute of Semiconductor and System IC Sejong University 209 Neungdong-ro Gwangjin-gu Seoul 05006 South Korea Institute of Industrial Science Department of Electrical Engineering University of Tokyo 4-6-1 Komaba Meguro City Tokyo 153-8505 Japan Division of Electrical Electronic and Control Engineering Kongju National University Cheonan 31080 South Korea Vehicle Performance Degradation Research Lab Hyundai Motor Company 150 Hyundaiyeonguso-ro Namyang-eup Hwaseong-si Gyeonggi-do 18280 South Korea

Nitrogen dioxide (NO 2 ) is a harmful air pollutant, which is primarily emitted from vehicle exhausts and industrial processes, and it poses significant health risks. This study presents a reliable solution for the detection of NO₂ by integrating a transparent carbon nanotube (CNT) gas sensor with an SnO 2 -based memristor heater (MH). First, the heating capabilities and gas sensitivity of the SnO 2 -based MH are evaluated at varying thicknesses (100–200 nm) to optimize performance. The findings of the study indicate that the 175 nm SnO 2 -based MH exhibited the highest sensitivity, which included a 40.69 % response at 20 ppm and a 19.42 % response at 0.5 ppm. Furthermore, SnO 2 demonstrates superior thermal stability and reduced variability compared to conventional ZnO-based MH, which guarantees a consistent performance for 50 cycles. These results underscore the potential of SnO 2 -based MH for next-generation gas sensors, which provide improved sensitivity, durability, and reliability for industrial safety applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Supplementary material for CDC submission no. 1461

arXiv

引用

arXiv 2020年

作者： Ju, Yue Chen, Tianshi Mu, Biqiang Ljung, Lennart Chinese University of Hong Kong Shenzhen518172 Hong Kong School of Science and Engineering Shenzhen Research Institute of Big Data Chinese University of Hong Kong Shenzhen518172 Hong Kong Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and System Science Chinese Academy of Sciences Beijing100190 China Division of Automatic Control Department of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

In this paper, we study the influence of ill-conditioned regression matrix on two hyper-parameter estimation methods for the kernel-based regularization method: the empirical Bayes (EB) and the Stein’s unbiased risk estimator (SURE). First, we consider the convergence rate of the cost functions of EB and SURE, and we find that they have the same convergence rate but the influence of the ill-conditioned regression matrix on the scale factor are different: the scale factor for SURE contains one more factor cond(ΦTΦ) than that of EB, where Φ is the regression matrix and cond(·) denotes the condition number of a matrix. This finding indicates that when Φ is ill-conditioned, i.e., cond(ΦTΦ) is large, the cost function of SURE converges slower than that of EB. Then we consider the convergence rate of the optimal hyper-parameters of EB and SURE, and we find that they are both asymptotically normally distributed and have the same convergence rate, but the influence of the ill-conditioned regression matrix on the scale factor are different. In particular, for the ridge regression case, we show that the optimal hyper-parameter of SURE converges slower than that of EB with a factor of 1/n2, as cond(ΦTΦ) goes to ∞, where n is the FIR model order. Copyright © 2020, The Authors. All rights reserved.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Communication and control Co-Design for Heterogeneous Industrial IoT: A Logic-Based Stochastic Switched system Approach

引用

IEEE Journal on Selected Areas in Communications 2025年

作者： Wang, Shuling Zhu, Shanying Chen, Cailian Shen, Fei Zhang, Weihai Guan, Xinping Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Shanghai200050 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

With the development of Industry 4.0, mobile agents are deployed to coordinate with multi-loop control systems to perform manufacturing tasks, leading to heterogeneous Internet of Things (IoT). Due to shadow fading induced by the movement of mobile agents, the wireless channel closing the control loops is inherently unreliable, which can compromise the control system performance. This paper addresses the co-design problem of transmission scheduling and agents' movement to ensure both control performance and energy efficiency. A generalized cyber-physical-agent framework is proposed to capture the coupling between IoT systems and a mobile agent through a state-dependent fading channel. Moreover, the movement of the mobile agent among areas exhibiting different levels of shadow effects is modeled by Markov decision process. To address such heterogeneous dynamics, the co-design problem is formulated into the optimization of a logic-based stochastic switched system by utilizing the semi-tensor product technique. Based on state mergence and H-representation methods, a tractable and effective algorithm is then proposed to design co-design policies, minimizing the average joint cost of communication and control. A parallel scheme is further developed to alleviate the computation burden of the algorithm. Theoretical guarantees are provided to ensure control system performance. Finally, simulation results are given to demonstrate effectiveness of the proposed method. © 1983-2012 IEEE.

关键词： Fading channels

来源：评论

学校读者我要写书评

暂无评论

Ecological hydrodynamic modeling and factor analysis of hypoxia dissipation in the semi-enclosed Mikawa Bay, Japan, in August 2020

引用

Marine pollution bulletin 2025年 218卷 118190页

作者： Yoshitaka Matsuzaki Masaya Kubota Tetsunori Inoue Hayato Mizuguchi Marine Environment Control System Department Port and Airport Research Institute 3-1-1 Nagase Yokosuka Kanagawa 239-0826 Japan. Electronic address: matsuzaki-y@p.mpat.go.jp. Marine Environment Control System Department Port and Airport Research Institute 3-1-1 Nagase Yokosuka Kanagawa 239-0826 Japan. Marine Environment Control System Department Port and Airport Research Institute 3-1-1 Nagase Yokosuka Kanagawa 239-0826 Japan Estuary Research Center Shimane University 1060 Nishikawatsu-cho Matsue Shimane 690-8504 Japan Department of Transdisciplinary Science and Engineering Tokyo Institute of Technology 4259 Nagatsuta-cho Midori-ku Yokohama Kanagawa 226-8503 Japan College of Life and Environmental Sciences Wenzhou University Wenzhou Zhejiang 325035 China. ECOH Corporation Co. Ltd. 2-6-4 KitaUeno Taito-ku Tokyo 110-0014 Japan.

A hypoxic water mass in Mikawa Bay, a semi-enclosed coastal area in Japan, dissipated significantly on August 20, 2020. Observational data suggest that the dissipation resulted from the advection of oxygen-rich water masses from the bay mouth and/or the open sea. However, the precise mechanism driving the dissipation of hypoxia remains unclear. In this study, using an ecological hydrodynamic model, we aimed to simulate the short-term dissipation of hypoxic water masses in Mikawa Bay. Sensitivity analysis was conducted to examine the interplay between density-, wind-driven, and tidal currents in the dissipation of hypoxic water masses and to identify the contributing factors. Although the modeled bottom-layer dissolved oxygen (DO) concentrations in the inner bay did not fully align with the observational data, the timing of increased DO levels was consistent between the observations and simulations, with a correlation coefficient of 0.78, root mean square error of 1.27 mg/L, and bias of -0.57 mg/L, indicating that the ecological hydrodynamic model effectively replicates the reduction of bottom-layer hypoxia in Mikawa Bay. Factor analysis revealed that density currents, driven by high salinity near the bay mouth, are the primary contributors to increased bottom-layer DO concentrations. Wind-induced and tidal currents influence DO distribution but are not primary drivers of elevated bottom-layer DO levels. Our findings highlight the importance of density currents in reducing hypoxic conditions, with significant implications for ecosystem dynamics and hypoxia management in coastal areas. These results could guide future studies and strategies to mitigate hypoxic events in similar environments.

关键词： Density current Ecological hydrodynamic modeling Hypoxia Intrusion Kuroshio current Mikawa and Ise Bays

来源：评论

学校读者我要写书评

暂无评论

DE-based Algorithm for Solving the Inverse Kinematics on a Robotic Arm Manipulators

引用

Journal of Physics: Conference Series 2021年第1期1922卷

作者： B=UI Tam TAO Linh Trung Nguyen Tinh Nguyen Hiroshi Hasegawa Dai Watanabe School of Mechanical Engineering Hanoi University of Science and Technology Vietnam. Department of Machinery and Control System Shibaura Institute of Technology Japan.

DE algorithm method for Solving the inverse kinematics is a fundamental problem in the robotics field especially in controlling industrial robots to move following a pre-defined trajectory. In this paper, we proposed to use a meta-heuristic optimization algorithm, namely Differential Evolution (DE), to solve the Inverse Kinematic (IK) problem for a five-degree-of-freedom (DOF) articulated robot. By considering joints' angles as continuous variables, the process of solving the Inverse Kinematic problem for the robot with the optimal algorithm has been significantly improved in terms of accuracy, execution time, standard deviation (STD) and the number of iterations needed as well. The algorithm has been applied to solve the Inverse Kinematic problem on the 5-Degree of Freedom 5R robot model. The simulation results for three case studies showed that our method can solve the inverse kinematics problem efficiently not only for minimum errors but also for smooth value of the joints' variables.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Permafrost‒vegetation controls on water availability over the Qinghai‒Tibet Plateau

引用

Advances in Climate Change Research 2025年

作者： Fang Ji Lin-Feng Fan Shan-Shui Yuan Xing-Xing Kuang Liu-Jun Zhu Jun-Liang Jin Ying-Ying Yao Jian-Yun Zhang Chun-Miao Zheng The National Key Laboratory of Water Disaster Prevention Hohai University Nanjing 210024 China Yangtze Institute for Conservation and Development Hohai University Nanjing 210024 China Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu 610213 China Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources Hohai University Nanjing 210024 China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Department of Earth and Environmental Science School of Human Settlements and Civil Engineering Xi’an Jiaotong University Xi’an 710049 China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Nanjing Hydraulic Research Institute Nanjing 210029 China Eastern Institute for Advanced Study Eastern Institute of Technology Ningbo 315200 China

Permafrost degradation substantially affects water resources within the cryosphere. It is crucial to elucidate the dynamics of water availability influenced by both permafrost degradation and climate change to fully comprehend the water cycle in cold regions, such as the Qinghai‒Tibet Plateau (QTP). While existing studies have established the hydrological consequences of permafrost degradation through altered soil hydraulics and water storage capacity, the complex interplay between thawing permafrost and vegetation dynamics—particularly their synergistic regulation of precipitation partitioning and runoff generation through root-zone water accessibility—are poorly understood, creating critical knowledge gaps in predicting long-term water availability trajectories. In this study, we explore the influence of permafrost-vegetation interactions on regional water availability on the QTP by integrating the effects of permafrost degradation on vegetation into the Budyko-Fu model. Our results reveal a consistent increase in surface runoff ( R ) of the permafrost regions from 1981 to 2100, predominantly driven by rising precipitation. However, shifts in vegetation patterns, prompted by permafrost degradation, significantly modify hydrological partitioning, leading to non-monotonic variations in the runoff to precipitation ratio ( R/P ). Notably, early-stage permafrost thaw enhances vegetation growth and evapotranspiration, which results in a decrease in R/P . Conversely, deeper permafrost thaw ( e.g ., beyond the root zone of vegetation) can lead to vegetation degradation, which subsequently reduces evapotranspiration and consequently increasing the R/P ratio. These findings underscore the pivotal role of vegetation in regulating the hydrological cycle and affecting water availability in permafrost-affected regions.

关键词： Water availability Permafrost degradation Vegetation Climate change Qinghai‒Tibet Plateau

来源：评论

学校读者我要写书评

暂无评论

Distinguishing the main climatic drivers of terrestrial vegetation carbon dynamics in pan-Arctic ecosystems

引用

Ecological Informatics 2025年

作者： Chengfeng Meng Hao Zhou Xichuan Liu Jiao Zheng Jun Wang Qingwei Zeng Shuai Hu College of Meteorology and Oceanography National University of Defense Technology Changsha 410073 China Key Laboratory of High Impact Weather (Special) China Meteorological Administration (CMA) Changsha 410073 China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology (NUIST) Nanjing 210044 China Frontiers Science Center for Critical Earth Material Cycling International Institute for Earth System Science Nanjing University Nanjing 210023 China

Pan-Arctic terrestrial ecosystems have experienced widespread greening over the past few decades due to climate warming. However, the dynamic variations and climatic causes of such greening in the pan-Arctic are still unclear due to limitations in high-latitude ground-based measurements. The study first evaluated the applicability of three satellite-based vegetation indices (VIs) for pan-Arctic carbon dynamics in previous decades compared with multisource observations. Three VIs presented significant increasing trends up to 0.0005–0.0017 yr −1 for pan-Arctic ecosystems in the past 23 years, and near-infrared reflectance of vegetation (NIRv) could better capture pan-Arctic terrestrial carbon dynamic variations (e.g., increasing trends) than other VIs among most vegetation types, such as grasslands. The separate contributions of climatic factors to satellite-based NIRv variability were further quantified using partial correlation and ridge regression analysis over pan-Arctic ecosystems from 2001 to 2023. Carbon dioxide (CO 2 ) and air temperature (AT) presented positive partial correlations with the satellite-based NIRv over entire pan-Arctic ecosystems, due to fertilization and warming effects. However, the vapor pressure deficit (VPD) showed positive (negative) partial correlations with NIRv variations in high (low) pan-Arctic ecosystems because of diverse stomatal responses to air dryness. Therefore, increases in VPD contributed 11.2 % of the pan-Arctic NIRv variability, although positive (negative) effects were detected for high (low) pan-Arctic ecosystems. These findings highlight the advantages of the NIRv for representing terrestrial carbon dynamics in fragile ecosystems (e.g., the pan-Arctic) and reveal the diverse effects of the regional climate (e.g., air dryness) on pan-Arctic ecosystems under climate warming.

关键词： Pan-Arctic Vegetation index Climate change CO 2 VPD

来源：评论

学校读者我要写书评

暂无评论

Degradation mechanism of perovskite under high charge carrier density condition

arXiv

引用

arXiv 2021年

作者： Li, Guohui Pi, Huihui Wei, Yanfu Zhou, Bolin Gao, Ya Wen, Rong Hao, Yuying Zhang, Han Ong, Beng S. Cui, Yanxia College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced Materials Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shenzhen University Shenzhen518060 China Department of Chemistry Research Centre of Excellence for Organic Electronics Institute of Advanced Materials Hong Kong Baptist University Kowloon Tong Hong Kong

Extensive studies have focused on degradation of perovskite at low charge carrier density (16cm-3), but few have surveyed the degradation mechanism at high charge carrier density (∼1018cm-3). Here, we investigate the degradation mechanisms of perovskite under high charge carrier conditions. Unlike the observations in previous works, we find that MAPbI3degradation starts at surface defects and progressing from the surface defects towards neighboring regions under high charge carrier density condition. By using PbI2passivation, the defect-initiated degradation is significantly suppressed and the nanoplatelet degrades in a layer-by-layer way, enabling the MAPbI3laser sustain for 4500 s (2.7×107pulses), which is almost 3 times longer than that of the nanoplatelet laser without passivation. Meanwhile, the PbI2passivated MAPbI3nanoplatelet laser with the nanoplatelet cavity displaying a maximum quality factor up to ∼7800, the highest reported for all MAPbI3nanoplatelet cavities. Furthermore, a high stability MAPbI3nanoplatelet laser that can last for 8500 s (5.1×107pulses) is demonstrated based on a dual passivation strategy, by retarding the defect-initiated degradation and surface-initiated degradation, simultaneously. This work provides in-depth insights for understanding the degradation of perovskite at high charge carrier density. Copyright © 2021, The Authors. All rights reserved.

关键词： Passivation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：