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    题名 作者 年代 出处 被引量
1Quantifying driving forces of urban wetlands change in Beijing City显示文摘决定树和阀值方法被采用了描出从 LANDSAT 图象的水身体的边界和特征。在空间覆盖分析以后并且用在北京的一种遥感技术和沼泽地库存数据,水身体视觉上在 1986 在北京的城市的沼泽地上被分类进城市的沼泽地,和数据的不同类型, 1991 , 1996 , 2000 , 2002 , 2004 和 2007 被获得。影响沼泽地变化的 13 辆开车因素被选择,并且灰色的关联分析被采用计算在每个开车因素和城市的沼泽地的全部的区域之间的关联。然后,六个主要开车因素基于关联系数被选择,并且贡献这六个开车因素评价到各种各样的城市的沼泽地的区域变化基于正规关联分析被计算。在那以后,这研究分析了在主要开车因素和沼泽地的各种各样的类型之间的关系和机制。五个结论能被得出。(1 ) 在北京的表面水身体的全部的区域从 1986 ~ 1996 增加了,并且逐渐地从 1996 ~ 2007 减少了。(2 ) 河沼泽地,水存储区域和水池的区域和文化区域逐渐地减少了,并且它的变化趋势与沼泽地的全部的区域的一致。采矿水区域和废水处理植物的区域稍微增加了。( 3 )驱动力的六个因素是年度降雨,蒸发,流入水的数量,可得到的地下水的体积,都市化率和废水的每天平均的分泌物是在沼泽地区域影响变化的主要因素,并且他们与沼泽地的全部的区域相关很好。(4 ) 象流入水和地下水的体积的数量那样的水资源的 hydrologic 指示物是影响沼泽地区域的变化的最重要、直接的驱动力。这些因素有 43.94% 的联合贡献率。(5 ) 象降雨和蒸发那样的气候因素是在沼泽地区域影响变化的外部因素,并且他们有 36.54% 的贡献率。(6 ) 象都市化率和废水的每天平均的数量那样的人的活动是主要人工的开车因素。他们有 19.52% 的影响率。JIANG Weiguo WANG Wenjie CHEN Yunhao LIU Jing TANG Hong HOU Peng 2012Journal of Geographical Sciences2012,22,2:25
2Three-dimensional crustal velocity structure model of the middle-eastern north China Craton (HBCrust1.0)显示文摘Lithosphere thinning and destruction in the middle-eastern North China Craton(NCC), a region susceptible to strong earthquakes, is one of the research hotspots in solid earth science. All 42 seismic wide-angle reflection/refraction profiles have been completed in the middle-eastern NCC. We collect all the 2-D profiling results and perform gridding of the velocity and interface depth data, building a 3-D crustal velocity structure model for the middle-eastern NCC, named HBCrust1.0, by using the Kriging interpolation method. Our result shows that the first-arrival times calculated by HBCust1.0 fit well with the observations. The result demonstrates that the upper crust is the main seismogenic layer, and the brittle-ductile transition occurs at depths near interface C(the interface between upper and lower crust). The depth of interface Moho varies beneath the source area of the Tangshan earthquake, and a low-velocity structure is found to extend from the source area to the lower crust. Based on these observations, it can be inferred that stress accumulation responsible for the Tangshan earthquake may have been closely related to the migration and deformation of the mantle materials. Comparisons of the average velocities of the whole crust, the upper and the lower crust show that the average velocity of the lower crust under the central part of the North China Basin(NCB) in the east of the craton is obviously higher than the regional average. This high-velocity probably results from long-term underplating of the mantle magma.DUAN YongHong WANG FuYun ZHANG XianKang LIN JiYan LIU Zhi LIU BaoFeng YANG ZhuoXin GUO WenBin WEI YunHao 2016Science China Earth Sciences2016,59,7:24
3Scalable preparation of porous silicon nanoparticles and their application for lithium-ion battery anodes显示文摘Mingyuan Ge Jiepeng Rong Xin Fang Anyi Zhang Yunhao Lu Chongwu Zhou 2013Nano Research2013,6,3:16
4水流和电解质对黏性泥沙絮凝沉降影响试验显示文摘为探索河口海岸地区水流和盐度共同作用对黏性泥沙絮凝沉降的影响,以泥沙浓度和絮团粒径为参数,采用自制的同轴旋转双筒产生运动水流和外加电解质的方法,研究6个水流强度(0 s^(-1)、1.38 s^(-1)、2.54 s^(-1)、4.67 s^(-1)、7.19 s^(-1)、13.2 s^(-1)和20.3 s^(-1))和3种电解质(NaCl、CaCl_2、AlCl_3)作用下的黏性泥沙絮凝沉降过程。试验结果表明:1水流对黏性泥沙絮凝沉降的影响与其强度相关。低强度水流(水流强度小于4.67 s^(-1))表现为初期促进、中后期阻碍的规律;高强度水流则由于强水流剪切力和自上而下的紊动掺混作用始终起阻碍作用。2电解质的存在将分别增强和减弱高、低强度水流所起作用;相同浓度下,当阳离子化合价从+1价变成+3价时,水流的影响作用更明显,尤其体现在稳定段。柴朝晖 方红卫 王茜 刘同宦 SONG Yunhao 2017水科学进展2017,28,2:14
5Vitamin B2 functionalized iron oxide nanozymes for mouth ulcer healing显示文摘Mouth ulcer is associated with inflammation and high risk of bacterial infection, which aggravates the patient's condition.Currently, there is no effective treatment for mouth ulcer. Herein, we report that vitamin-modified iron oxide nanoparticles improve the healing of mouth ulcer through anti-inflammation and antibacterial activities. We discovered that vitamin B2(VB2)modified iron oxide nanoparticles performed enhanced peroxidase-like, catalase-like, and superoxide dismutase(SOD)-like activities, acting as typical iron oxide nanozymes(IONzymes) with triad activities. In particular, VB2 modification significantly improved the SOD-like activity, thus providing a reactive oxygen species(ROS)-scavenging ability. Cellular antioxidant experiments showed that vitamin B2 modified IONzymes(VB2-IONzymes) protect human oral keratinocytes(HOK) and BALB/3 T3 cells from hydrogen peroxide(H2O2), and these cells have high biocompatibility to eukaryotic cells. In addition, VB2-IONzymes exerted an antibacterial activity against Streptococcus mutans, Staphylococcus aureus, and Escherichia coli. Importantly, VB2-IONzymes accelerated the recovery of mouth ulcer and reduced the local secretion of inflammatory factors in mouse ulcer model via ROS scavenging and antibacterial activity. Taken together, our work demonstrates that vitamin B2 modification endows iron oxide nanoparticles with enhanced enzyme-like activities and VB2-IONzymes may be a promising reagent in the treatment of mouth ulcer because of their intrinsic anti-inflammation and antibacterial capabilities.Yunhao Gu Yixin Huang Zhiyue Qiu Zhuobin Xu Dandan Li Lei Chen Jing Jiang Lizeng Gao 2020Science China(Life Sciences)2020,63,1:10
6Microbial aerosol characteristics in highly polluted and nearpristine environments featuring different climatic conditions显示文摘There is an increasing interest in understanding ambient bioaerosols due to their roles both in health and in climate. Here, we deployed an Ultraviolet Aerodynamic Particle Sizer to monitor viable(fluorescent) bioaerosol concentration levels at city centers(highly polluted) and their corresponding suburbs(near pristine)(total 40 locations) in 11 provinces featuring different climate zones in China between July 16 and 28, 2013. The concentration levels of viable bioaerosol particles(Bio PM) of [0.5 lm were measured, and corresponding percentages of Bio PM%(biological fraction of total PM) and Bio PM2.5%(biological fraction of PM2.5) in particulate matter(PM)and Bio PM, respectively, were determined. For some key cities, indoor viable bioaerosol levels were also obtained.In addition, bacterial structures of the air samples collected across these monitoring locations were studied using pyrosequencing. Bio PM concentration levels ranged from2.1 9 104 to 2.4 9 105/m3 for city centers [Bio PM% =6.4 %(±6.3 %)] and 0.5 9 104 to 4.7 9 105/m3 for suburbs [Bio PM% = 10 %(±8.7 %)]. Distinctive bioaerosol size distribution patterns were observed for different climate zones, e.g., some had fluorescence peaks at 3 lm, while the majority had peaks at 1 lm. Ambient bacterial aerosol community structures were also found different for different geophysical locations. Results suggest that there was a poor overall relationship between PM and Bio PM across 40 monitoring locations(R2= 0.081, two-tailed P value =0.07435). Generally, city centers had higher PM concentrations than suburbs, but not Bio PM and Bio PM%. Indoor bioaerosol levels were found at least tenfold higher than those corresponding outdoors. Bacillus was observed to dominate the bacterial aerosol community in the air sample.Kai Wei Yunhao Zheng Jing Li Fangxia Shen Zhuanglei Zou Hanqing Fan Xinyue Li Chang-yu Wu Maosheng Yao 2015Science Bulletin2015,60,16:10
7Hydrogen Sulfide Activates S-Type Anion Channel via OST1 and Ca^2+ Modules显示文摘Dear Editor, Hydrogen sulfide (H2S),a colorless gas with a foul odor,has been known for hundreds of years as a toxic environmental pollutant.Recently,H2S has been recognized as the third gasotransmitter after nitric oxide and carbon monoxide,with similar biological functions.The endogenous production of H2S and its physiological functions have been initially revealed in mammalian systems,which are mediated by various molecular targets including different ion channels and signaling proteins.Similarly,H2S can be produced enzymatically in plants.H2S has been reported to have multiple functions in alleviating abiotic stresses such as improving plant tolerance to drought,salt,and heat.It has also been shown to improve plant resistance to heavy metal stresses.Lei Wang Renjing Wan Yunhao Shi Shaowu Xue 2016Molecular Plant2016,9,3:9
8High-resolution Surface Relative Humidity Computation Using MODIS Image in Peninsular Malaysia显示文摘Forest fire is a serious disaster all over the world. The Fire Weather Index (FWI) System can be used in ap- plied forestry as a tool to investigate and manage all types of fire. Relative humidity (RH) is a very important parameter to calculate FWI. However, RH interpolated from meteorological data may not be able to provide precise and confident values for areas between far separated stations. The principal objective of this study is to provide high-resolution RH for FWI using MODIS data. The precipitable water vapor (PW) can be retrieved from MODIS using split window tech- niques. Four-year-time-series (2000-2003) of 8-day mean PW and specific humidity (Q) of Peninsular Malaysia were analyzed and the statistic expression between PW and Q was developed. The root-mean-square-error (RMSE) of Q es- timated by PW is generally less than 0.0004 and the correlation coefficient is 0.90. Based on the experiential formula between PW and Q, surface RH can be computed with combination of auxiliary data such as DEM and air temperature (Ta). The mean absolute errors of the estimated RH in Peninsular Malaysia are less than 5% compared to the measured RH and the correlation coefficient is 0.8219. It is proven to be a simple and feasible model to compute high-resolution RH using remote sensing data.PENG Guangxiong LI Jing CHEN Yunhao Abdul Patah NORIZAN Liphong TAY 2006Chinese Geographical Science2006,16,3:9
9Sensorless Sensing with WiFi显示文摘Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing without wearable sensors, simultaneous perception and data transmission without extra communication infrastructure, and contactless sensing in privacy-preserving mode. Due to the popularity of WiFi devices and the ubiquitous deployment of WiFi networks, WiFi-based sensing networks, if fully connected, would potentially rank as one of the world's largest wireless sensor networks. Yet the concept of wireless and sensorless sensing is not the simple combination of WiFi and radar. It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life. Despite increasing research interest, wireless sensing is still in its infancy. Through introductions on basic principles and working prototypes, we review the feasibilities and limitations of wireless, sensorless, and contactless sensing via WiFi. We envision this article as a brief primer on wireless sensing for interested readers to explore this open and largely unexplored field and create next-generation wireless and mobile computing applications.Zimu Zhou Chenshu Wu Zheng Yang Yunhao Liu 2015Tsinghua Science and Technology2015,20,1:9
10A Simple Deep Learning Network for Classification of 3D Mobile LiDAR Point Clouds显示文摘Automatic and accurate classification is a fundamental problem to the analysis and modeling of LiDAR(Light Detection and Ranging)data.Recently,convolutional neural network(ConvNet or CNN)has achieved remarkable performance in image recognition and computer vision.While significant efforts have also been made to develop various deep networks for satellite image scene classification,it still needs to further investigate suitable deep learning network frameworks for 3D dense mobile laser scanning(MLS)data.In this paper,we present a simple deep CNN for multiple object classification based on multi-scale context representation.For the pointwise classification,we first extracted the neighboring points within spatial context and transformed them into a three-channel image for each point.Then,the classification task can be treated as the image recognition using CNN.The proposed CNN architecture adopted common convolution,maximum pooling and rectified linear unit(ReLU)layers,which combined multiple deeper network layers.After being trained and tested on approximately seven million labeled MLS points,the deep CNN model can classify accurately into nine classes.Comparing with the widely used ResNet algorithm,this model performs better precision and recall rates,and less processing time,which indicated the significant potential of deep-learning-based methods in MLS data classification.Yanjun WANG Shaochun LI Mengjie WANG Yunhao LIN 2021Journal of Geodesy and Geoinformation Science2021,4,3:8
11Measures for controlling large deformations of underground caverns under high in-situ stress condition--A case study of JinpingⅠhydropower station显示文摘The Jinping Ⅰ hydropower station is a huge water conservancy project consisting of the highest concrete arch dam to date in the world and a highly complex and large underground powerhouse cavern.It is located on the right bank with extremely high in-situ stress and a few discontinuities observed in surrounding rock masses.The problems of rock mass deformation and failure result in considerable challenges related to project design and construction and have raised a wide range of concerns in the fields of rock mechanics and engineering.During the excavation of underground caverns,high in-situ stress and relatively low rock mass strength in combination with large excavation dimensions lead to large deformation of the surrounding rock mass and support.Existing experiences in excavation and support cannot deal with the large deformation of rock mass effectively,and further studies are needed.In this paper,the geological conditions,layout of caverns,and design of excavation and support are first introduced,and then detailed analyses of deformation and failure characteristics of rocks are presented.Based on this,the mechanisms of deformation and failure are discussed,and the support adjustments for controlling rock large deformation and subsequent excavation procedures are proposed.Finally,the effectiveness of support and excavation adjustments to maintain the stability of the rock mass is verified.The measures for controlling the large deformation of surrounding rocks enrich the practical experiences related to the design and construction of large underground openings,and the construction of caverns in the Jinping Ⅰ hydropower station provides a good case study of large-scale excavation in highly stressed ground with complex geological structures,as well as a reference case for research on rock mechanics.Shengwu Song Xuemin Feng Chenggang Liao Dewen Cai Zhongxu Liu Yunhao Yang 2016Journal of Rock Mechanics and Geotechnical Engineering2016,8,5:5
12Towards a Full-Stack Dev Ops Environment (Platform-as-a-Service) for Cloud-Hosted Applications显示文摘If every programmer of cloud-hosted apps possessed exceptional technical capability and endless patience, the Dev Ops environment(also known as Platform-as-a-Service, or Paa S) would perhaps become irrelevant. However, the reality is almost always the opposite case. Hence, IT engineers dream of a reliable and usable Dev Ops environment that can substantially facilitate their developments and simplify their operations.Current Dev Ops environments include Google App Engine, Docker, Kubernetes, Mesos, and so forth. In other words, Paa S bridges the gap between vivid IT engineers and stiff cloud systems. In this paper, we comprehensively examine state-of-the-art Paa S solutions across various tiers of the cloud-computing Dev Ops stack. On this basis,we identify areas of consensus and diversity in their philosophies and methodologies. In addition, we explore cutting-edge solutions towards realizing a more fine-grained, full-stack Dev Ops environment. From this paper,readers are expected to quickly grasp the essence, current status, and future prospects of Paa S.Zhenhua Li Yun Zhang Yunhao Liu 2017Tsinghua Science and Technology2017,22,1:5
13Review of Power Module Automatic Layout Optimization Methods in Electric Vehicle Applications显示文摘The layout of power modules is a crucial design consideration,especially for silicon carbide devices.For electrical layout,optimizing the parasitic parameters can improving switching loss and dynamic behavior.For thermal layout,reducing the thermal resistance and controlling thermal capacitance can reduce the local hot point.Conventional layout design iterations are based on human knowledge and experience.But the major drawback of manual design methods is a limited choice of candidates,large time consumption and also the lack of consistency.With the introduce of automatic layout design,these challenges can be overcome which in the meanwhile alleviates current and temperature imbalance.By reviewing element representation,placement,routing,fitness evaluation,and the optimization algorithm approaches,a state-of-the-art power module layout design method for electric vehicle applications is introduced.Puqi Ning Huakang Li Yunhao Huang Yuhui Kang 2020Chinese Journal of Electrical Engineering2020,6,3:5
14Information asymmetry, mutual funds and earnings management: Evidence from China显示文摘This paper investigates how information asymmetry and mutual fund ownership affect listed companies' earnings management. We show that(1) reducing information asymmetry improves firms' earnings management behavior;(2)relative to short-term mutual funds, long-term mutual funds promote earnings quality by adopting a monitoring role; and(3) by dividing firms into high/low information asymmetry groups, we find that the information environment significantly increases the effect of long-term mutual funds on firms' earnings management. In this paper, we provide new evidence for the role that institutional investors play in a typical emerging capital market. Our results have clear policy implications: to increase earnings quality, it is essential to improve information transparency and develop long-term institutional investors.Yunhao Dai Dongmin Kong Li Wang 2013China Journal of Accounting Research2013,,3:5
15LANDMARC: Indoor Location Sensing Using Active RFID显示文摘Lionel M. Ni Yunhao Liu Yiu Cho Lau Abhishek P. Patil 2004Wireless Networks2004,,6:4
16Optimal bulk-heterojunction morphology enabled by fibril network strategy for high-performance organic solar cells显示文摘A bicontinuous network formed spontaneously upon film preparation is highly desirable for bulk-heterojunction(BHJ) organic solar cells(OSCs). Many donor-acceptor(D-A) type conjugated polymers can self-assemble into polymer fibrils in the solid state and such fibril-assembly can construct the morphological framework by forming a network structure, inducing the formation of ideal BHJ morphology. Our recent works have revealed that the fibril network strategy(FNS) can control the blend morphology in fullerene, non-fullerene and ternary OSCs. It has been shown that the formation of fibril network can optimize phase separation scale and ensure efficient exciton dissociation and charge carriers transport, thus leading to impressive power conversion efficiencies(PCEs) and high fill factor(FF) values. We believe that FNS will provide a promising approach for the optimization of active layer morphology and the improvement of photovoltaic performance, and further promote the commercialization of OSCs.Tian Xia Yunhao Cai Huiting Fu Yanming Sun 2019Science China Chemistry2019,62,6:4
17Electric-field control of the activity of the graphene-based catalyst显示文摘Effects of an electric field on CO oxidation of Au-embedded graphene are investigated using first-principles method. Results of our calculations show that the initial step of the reaction is more likely to proceed via the Langmuir-Hinshelwood mechanism in the presence of the field, and the reaction barrier can be tuned continuously by the electric field. However, the applied electric field makes it more difficult for the product of the reaction, CO2, to desorb from the reaction site. These two competing effects make an electric field not entirely advantageous in controlling the activity of Au-embedded graphene for CO oxidation reaction. Nevertheless, the findings of our study provide a basis for further investigation on control of chemical reactions by electric fields.LU YunHao FENG YuanPing 2011Science China(Physics,Mechanics & Astronomy)2011,54,5:3
18The construction of personalized virtual landslide disaster environments based on knowledge graphs and deep neural networks显示文摘Virtual Landslide Disaster environments are important for multilevel simulation,analysis and decision-making about Landslide Disasters.However,in the existing related studies,complex disaster scene objects and relationships are not deeply analyzed,and the scene contents are fixed,which is not conducive to meeting multilevel visualization task requirements for diverse users.To resolve the above issues,a construction method for Personalized Virtual Landslide Disaster Environments Based on Knowledge Graphs and Deep Neural networks is proposed in this paper.The characteristics of relationships among users,scenes and data were first discussed in detail;then,a knowledge graph of virtual Landslide Disaster environments was established to clarify the complex relationships among disaster scene objects,and a Deep Neural network was introduced to mine the user history information and the relationships among object entities in the knowledge graph.Therefore,a personalized Landslide Disaster scene data recommendation mechanism was proposed.Finally,a prototype system was developed,and an experimental analysis was conducted.The experimental results show that the method can be used to recommend intelligently appropriate disaster information and scene data to diverse users.The recommendation accuracy stabilizes above 80%–a level able to effectively support The Construction of Personalized Virtual Landslide Disaster environments.Yunhao Zhang Jun Zhu Qing Zhu Yakun Xie Weilian Li Lin Fu Junxiao Zhang Jianmei Tan 2020International Journal of Digital Earth2020,13,12:3
19Sliding Mode Control Approach with Integrated Disturbance Observer for PMSM Speed System显示文摘The research on high-performance vector control of permanent magnet synchronous motor(PMSM)drive system plays an extremely important role in electrical drive system.To further improve the speed control performance of the system,a fast non-singular end sliding mode(FNTSM)surface function based on traditional NTSM control is developed.The theoretical analysis proves that the FNTSM surface function has a faster dynamic response and more finite-time convergence.In addition,for the self-vibration problem caused by high sliding mode switching gain,an FNTSM control method with anti-disturbance capability was designed based on the linear disturbance observer(DO),i.e.the FNTSMDO method was employed to devise the PMSM speed regulator.The comparative simulation and experiment results with traditional PI control and NTSM control methods indicate that the FNTSMDO method could improve the dynamic performance and anti-interference of the system.Lei Yuan Yunhao Jiang Lu Xiong Pan Wang 2023CES Transactions on Electrical Machines and Systems2023,7,1:3
20Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction显示文摘Zhangyan Jiang Alfredo R. Huete Jin Chen Yunhao Chen Jing Li Guangjian Yan Xiaoyu Zhang 2006Remote Sensing of Environment2006,,3:3
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