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Changes of Dry-wet Climate in the Dry Season in Yunnan(1961-2007)

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Advances in Climate Change Research 2011年第1期2卷 49-54页

作者： Zhongyan huang Yunnan Climate Center Kunming 650034 China

Factor analysis was used to investigate the changes of dry-wet climate in the dry season in Yunnan during 1961-2007 based on observed data from 15 *** common factors were extracted from the 9 climatic *** results showed that the dry-wet climate has evidently changed since the early *** general trends in the changes of drywet climate were described as slight decrease in humidity and gradual enhancement in drought *** climate during 1960s-1980s was under weak-medium *** since early 1990s,dry conditions have markedly strengthened and continued due to uneven temporal distribution of rainfall and climate warming.

关键词： dry-wet climate factor analysis dry season Yunnan

A three-dimensional vortex microsystem designed and fabricated for controllable mixing

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Science China Chemistry 2009年第8期52卷 1080-1084页

作者： LIN JinMing huang LiZhang CHEN GuoNan Key Laboratory of Analysis and Detection Technology for Food Safety Ministry of EducationFuzhou UniversityFuzhou 350002China

A three-dimensional micromixer is designed and fabricated by using glass-poly(dimethylsiloxane)(PDMS) hybridized *** improvement of the fabrication process makes the micromixer endure much higher flow *** on the self-rotation effect of the fluid,the fast mixing can be *** mixing process is evaluated by connecting the micromixer to a UV-Vis *** results show that by adjusting the infuse flow rate,the mixing process can be accurately controlled.

关键词： microfluidic device three-dimension vortex micromixer

Quadratic stabilisation of switched affine systems

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Journal of Control and Decision 2020年第1期7卷 1-23页

作者： Minqing Xiao guisheng Zhai Chi huang College of Mathematics and Informatics Fujian Key Laboratory of Mathematical Analysis and ApplicationFujian Normal UniversityFuzhouPeople’s Republic of China Department of Mathematical Sciences College of Systems Engineering and ScienceShibaura Institute of TechnologyTokyoJapan Department of Computer Science and Technology School of Economic Information EngineeringSouthwestern University of Finance and EconomicsChengduPeople’s Republic of China

Minqing Xiao received the *** from chongqing University,chongqing,China,in *** is currently a Professor with the College of Mathematics and Informatics,Fujian Normal University,Fuzhou,*** current research interests include robust control/filter theory,delta operator systems,networked control systems,and switched systems;guisheng Zhai received his *** from Fudan University,China,in 1988,and he received his *** ***,both in system science,from Kobe University,Japan,in 1993 and 1996,*** two years of industrial experience,*** moved to Wakayama University,Japan,in 1998,and then to Osaka Prefecture University,Japan,in *** held visiting professor positions at University of Notre Dame from August 2001 to July 2002,and at Purdue University from March 2016 through February *** April 2010,he joined the faculty board of Shibaura Institute of Technology,Japan,where he currently is a full Professor of Mathematical *** research interests include large scale and decentralised control systems,robust control,switched systems and switching control,networked control and multi-agent systems,neural networks and signal processing,*** is on the editorial board of several academic journals including IET Control Theory&Applications,International Journal of Applied Mathematics and Computer Science,Journal of Control and Decision,and Frontiers of Mechanical *** is a Senior Member of IEEE,a member of ISCIE,SICE,JSST and JSME.

关键词： Switched affine systems(SAS) switched uncertain affine systems(SUAS) quadratic stabilisation convex combination state-dependent switching output-dependent switching convergence set LMIs norm bounded uncertainties

Piecewise Acoustic Source Imaging with Unknown Speed of Sound Using a Level-Set Method

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1070-1095页

作者： Guanghui huang Jianliang Qian Yang Yang Petroleum Geo-Services HoustonTX 77079USA Department of Mathematics Michigan State UniversityEast LansingMI 48824USA Department of Computational Mathematics Science and EngineeringMichigan State UniversityEastLansingMI48824USA

We investigate the following inverse problem:starting from the acoustic wave equation,reconstruct a piecewise constant passive acoustic source from a single boundary temporal measurement without knowing the speed of *** the amplitudes of the source are known a priori,we prove a unique determination result of the shape and propose a level set algorithm to reconstruct the *** the singularities of the source are known a priori,we show unique determination of the source amplitudes and propose a least-squares fitting algorithm to recover the source *** analysis bridges the low-frequency source inversion problem and the inverse problem of *** proposed algorithms are validated and quantitatively evaluated with numerical experiments in 2D and 3D.

关键词： Inverse gravimetry Acoustic source imaging Inversion of sound speed Level-set method Inverse problem

Simplified single-end Rayleigh and Brillouin hybrid distributed fiber-optic sensing system

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Science China(Information Sciences) 2023年第2期66卷 291-292页

作者： Linjing huang Zuyuan HE Xinyu FAN State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong University Peng Cheng Laboratory

Dear editor,Distributed fiber-optic sensing(DFOS) technology has been widespread applications in many fields. It is mainly realized by analyzing three kinds of backscattering in optical fibers: Rayleigh, Brillouin, and Raman [1]. Conventionally,the sensing system can only measure one type of parameter:a static one like temperature and strain or a dynamic one like vibration. However, for several applications, such as railway safety monitoring systems, both static and dynamic parameters must be measured simultaneously not only for early warning applications but also for collecting static signals to perform long-term analysis.

关键词： Hybrid systems

Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear

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Railway Engineering Science 2022年第1期30卷 96-116页

作者： Yunguang Ye Ping huang Yongxiang Zhang Institute of Land and Sea Transport Systems Technical University of BerlinBerlin 10587Germany National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong UniversityChengdu 610031China Institute for Transport Planning and Systems ETH Zurich8093 ZurichSwitzerland

Fault detection and isolation of high-speed train suspension systems is of critical importance to guarantee train running safety. Firstly, the existing methods concerning fault detection or isolation of train suspension systems are briefly reviewed and divided into two categories, i.e., model-based and data-driven approaches. The advantages and disadvantages of these two categories of approaches are briefly summarized. Secondly, a 1D convolution network-based fault diagnostic method for highspeed train suspension systems is designed. To improve the robustness of the method, a Gaussian white noise strategy(GWN-strategy) for immunity to track irregularities and an edge sample training strategy(EST-strategy) for immunity to wheel wear are proposed. The whole network is called GWN-EST-1 DCNN method. Thirdly, to show the performance of this method, a multibody dynamics simulation model of a high-speed train is built to generate the lateral acceleration of a bogie frame corresponding to different track irregularities, wheel profiles, and secondary suspension faults. The simulated signals are then inputted into the diagnostic network, and the results show the correctness and superiority of the GWN-EST-1DCNN method. Finally,the 1DCNN method is further validated using tracking data of a CRH3 train running on a high-speed railway line.

关键词： High-speed train suspension system Fault diagnosis Track irregularities Wheel wear Deep learning Literature review

V_(2)CT_(X) MXene Sphere for Aqueous Ion Storage

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Energy Material Advances 2023年第1期4卷 512-521页

作者： Xinliang Li Mian Li Wenyu Xu Zhaodong huang Guojin Liang Qi Yang Qing huang Chunyi Zhi Key Laboratory of Material Physics Ministry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450052China Department of Materials Science and Engineering City University of Hong Kong83 Tat Chee AvenueKowloonHong Kong 999077China Engineering Laboratory of Advanced Energy Materials Ningbo Institute of Industrial TechnologyChinese Academy of SciencesNingboZhejiang 315201China Centre for Functional Photonics City University of Hong KongKowloonHong Kong 999077China

Despite the remarkable ion-hosting capability of MXenes,their electrochemical performance is restricted to the ion shuttle barrier stemming from the capacious surface and the sluggish chemical activity of intrinsic transition metal ***,we construct a vertically aligned array of V_(2)CT_(X) flakes utilizing a carbon sphere template(V_(2)CT_(X)@CS),with the interlayer galleries outward facing the external electrolyte,to shorten the diffusion length and mitigate the ion shuttle ***,we leverage the high sensitivity of V_(2)CT_(X) flakes to the water-oxygen environment,fully activating the masked active sites of transition metal layers in an aqueous environment via continuous electrochemical *** V_(2)CT_(X)@CS/Zn battery delivers a novel capacity enhancement over 42,000 cycles at 10 A g^(−1).After activation,the capacity reaches up to 409 mAh g^(−1) V_(2)CT_(X) at 0.5 A g^(−1) and remains at 122 mAh g^(−1) V_(2)CT_(X) at 18 A g^(−1).With a 0.95-V voltage plateau,the energy density of 330.4 Wh kg^(−1) V_(2)CT_(X) surpasses previous records of aqueous MXene electrodes.

关键词： utilizing battery template

纳米成核点辅助结晶对钙钛矿光电探测器性能的影响

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物理学报 2022年第17期71卷 365-373页

作者：孙雪黄锋刘桂雄苏子生华南理工大学机械与汽车工程学院广州510006 广州计量检测技术研究院广州510663 泉州师范学院物理与信息工程学院福建省先进微纳光子技术与器件重点实验室泉州362000

有机无机杂化钙钛矿材料因具有可调节的带隙宽度、优异的载流子传输性能、可低温溶液法制备等优点,近年来在光电器件的应用研究上受到了广泛的关注.对于平面光电导型探测器,电荷在两电极之间需横穿钙钛矿层,由于钙钛矿晶体的形成能较低... 详细信息

有机无机杂化钙钛矿材料因具有可调节的带隙宽度、优异的载流子传输性能、可低温溶液法制备等优点,近年来在光电器件的应用研究上受到了广泛的关注.对于平面光电导型探测器,电荷在两电极之间需横穿钙钛矿层,由于钙钛矿晶体的形成能较低,在晶界和薄膜表面易产生缺陷,光生载流子被缺陷阻挡而加剧激子的非辐射复合,造成器件光电性能下降.本文通过在钙钛矿界面层下方引入微量的氧化石墨烯纳米片作为钙钛矿晶体的有效成核点,使得钙钛矿晶体可依附于氧化石墨烯形核,降低钙钛矿晶体成核势垒的同时与钙钛矿形成铅-氧键,最终获得晶体颗粒增大、晶界数量减少、薄膜致密的钙钛矿层.由于氧化石墨烯在玻璃基底上的含量极低,大片玻璃基底裸露并与钙钛矿直接接触,因此钙钛矿层应视为制备在玻璃基底上.在氧化石墨烯纳米片的影响下钙钛矿与玻璃基底的接触更为紧密,有效降低界面间的激子非辐射复合概率,提高了界面间电荷传输性能.最终,在氧化石墨烯纳米片最优制备参数的影响下,钙钛矿光电探测器光电流相比空白对照器件提高了1个数量级,在3 V偏压下的开关电流比为5.22×10^(3),并且最优的光电探测器的光响应速度明显提高,上升时间为9.6 ms,下降时间为6.6 ms.

关键词：钙钛矿光电探测器有效成核点钙钛矿结晶

Microwave Through Wall Imaging via An Induced Current Learning Method

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Journal of Beijing Institute of Technology 2024年第3期33卷 248-254页

作者： Pengjin Lan Jianguo huang Tianyi Zhou Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China

In this paper,an induced current learning method(ICLM)for microwave through wall imaging(TWI),named as TWI-ICLM,is *** the inversion of induced current,the unknown object along with the enclosed walls are treated as a combination of ***,a non-iterative method called distorted-Born backpropagation(DB-BP)is utilized to generate the initial *** the training stage,several convolutional neural networks(CNNs)are cascaded to improve the estimated induced *** addition,a hybrid loss function consisting of the induced current error and the permittivity error is used to optimize the network ***,the relative permittivity images are conducted analytically using the predicted current based on *** the numerical and experimental TWI tests prove that,the proposed method can achieve better imaging accuracy compared to traditional distorted-Born iterative method(DBIM).

关键词： through wall imaging inverse scattering problem convolutional neural network(CNN)