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| 1 | Construction of an ecological resistance surface model and its application in urban expansion simulations显示文摘城市的扩大模型是有用工具理解都市化过程并且被给了许多注意。然而,城市的扩大是被在大无常包含的复杂、不稳定的因素影响的复杂社会经济的现象。因此,城市的扩大过程的精确模拟仍然保持挑战性。在这份报纸,我们尝试通过一个颠倒过程解决如此的无常并且把城市的扩大看作城市的风景从另外的风景克服抵抗的一个过程。我们开发了从在城市的扩大上为不同来源层次和僵硬限制的考虑包含了一个相对抵抗因素的介绍的模型由生态的障碍引起了的最小的累积抵抗(宏) 导出的一条创新途径。用这条途径,城市的扩大生态的抵抗(UEER ) 模型被创造描述对模仿城市的扩大合适、使用的生态的抵抗表面在广州模仿城市的扩大。学习结果证明 UEER 模型包括地产生的生态的抵抗表面反映生态的抵抗到城市的扩大并且在城市的扩大显示空间趋势。从基于 UEER 的模型的模拟结果比传统的基于宏的模型是更现实主义、更精确地反映的生态的保护要求。这些调查结果能提高城市的扩大模拟方法。 | YE Yuyao SU Yongxian ZHANG Hong-ou LIU Kai WU Qitao | 2015 | Journal of Geographical Sciences2015，25，2： | 15 |
| 2 | Impact of the Built Environment on the Spatial Heterogeneity of Regional Innovation Productivity:Evidence from the Pearl River Delta,China显示文摘With the global economy increasingly dependent on innovation,urban discourse has shifted to consider what kinds of spatial designs may best nurture innovation.We examined the relationship between the built environment and the spatial heterogeneity of regional innovation productivity(RIP)using the example of China's Pearl River Delta(PRD).Based on a spatial database of 522546 patent data from 2017,this study proposed an innovation-based built environment framework with the following five aspects:healthy en-vironment,daily interaction,mixed land use,commuting convenience,and technology atmosphere.Combining negative binomial regression and Geodetector to examine the impact of the built environment on RIP,the results show that the spatial distribution of innovation productivity in the PRD region is extremely uneven.The negative binomial regression results show that the built environment has a significant impact on the spatial differentiation of RIP,and,specifically,that healthy environment,mixed land use,commuting convenience,and technology atmosphere all demonstrate significant positive impacts.Meanwhile,the Geodetector results show that the built environment factor impacts the spatial heterogeneity of RIP to varying degrees,with technology atmosphere demonstrating the greatest impact intensity.We conclude that as regional development discourse shifts focus to the knowledge and innovation economy,the innovation-oriented design and updating of built environments will become extremely important to policymakers. | WU Kangmin WANG Yang ZHANG Hong’ou LIU Yi YE Yuyao | 2021 | Chinese Geographical Science2021，31，3： | 5 |
| 3 | Research on the influence of site factors on the expansion of construction land in the Pearl River Delta, China: By using GIS and remote sensing显示文摘 | Yuyao Ye Hongou Zhang Kai Liu Qitao Wu | 2013 | International Journal of Applied Earth Observations and Geoinformation2013，，： | 1 |
| 4 | Research on the influence of site factors on the expansion of construction land in the Pearl River Delta, China: By using GISand remote sensing显示文摘 | Yuyao Ye Hongou Zhang Kai Liu Qitao Wu | 2013 | International Journal of Applied Earth Observation sand Geoinformation2013，21，： | 1 |
| 5 | Ecological and environmental characteristics and management planning of Mawei Economic Development District显示文摘The natural and social background of the district was described, and the major ecological and environmental problems were analysed. The measures and planning for the ecological and environmental protection were recommended. Systematic analysis method and environmental mathematical models were suggested to be used for the ecological and environmental general planning in this paper. | Ye Changming, Wei Aixue, Huang Yuyao, Zhang Xifu, Chen Qihao and Liu JifengResearch Center for Eco-Environmental Sciences,Acadcmis Sinica,Beijing 100083,ChinaInstitute of Zoology,Academia Sinica,Beijing 100080,ChinaInstitute of Atmospheric Physics,Academia Sinica,Beijing 100083,ChinaFuzhou Municipal Institute of Environmental Sciences,Fuzhou 350005,ChinaFuzhou Municipal Environmental Monitoring Station,Fuzhou 350005,China | 1991 | Journal of Environmental Sciences1991，3，2： | 0 |
| 6 | Prediction of fiber Rayleigh scattering responses based on deep learning显示文摘Distributed acoustic sensing(DAS) is a fiber sensing technology based on Rayleigh scattering,which transforms optical fiber into a series of sensing units. It has become an indispensable part in the field of seismic monitoring, vehicle tracking, and pipeline monitoring. Fiber Rayleigh scattering responses lay at the core of DAS. However, there are few in-depth studies on the purpose of acquiring fiber Rayleigh scattering responses. In this paper, we establish a deep learning framework based on the bidirectional gated recurrent unit, which is the first time to predict the fiber Rayleigh scattering responses, to the best of our knowledge. The deep learning framework is trained with a numerical simulation dataset only, but it can process experimental data successfully. Moreover, since the responses could have a wider effective bandwidth than the experimental probing pulses, a finer spatial resolution could be obtained after demodulation. This work indicates that the deep learning framework can capture the characteristics of the fiber Rayleigh scattering responses effectively, which paves the way for intelligent DAS. | Yongxin LIANG Jianhui SUN Jialei ZHANG Yuyao WANG Anchi WAN Shibo ZHANG Zhenyu YE Shengtao LIN Zinan WANG | 2023 | Science China(Information Sciences)2023，66，12： | 0 |
| 7 | Fast and flexible stack‐based inverse tone mapping显示文摘Inverse tone mapping technique is widely used to restore the lost textures from a single low dynamic range image.Recently,many stack‐based deep inverse tone mapping networks have achieved impressive results by estimating a set of multi‐exposure images from a single low dynamic range input.However,there are still some limitations.On the one hand,these methods usually set a fixed length for the estimated multi‐exposure stack,which may introduce computational redundancy or cause inaccurate results.On the other hand,they neglect that the difficulties of estimating each exposure value are different and use the identical model to increase or decrease exposure value.To solve these problems,the authors design an exposure decision network to adaptively determine the number of times the exposure of low dynamic range input should be increased or decreased.Meanwhile,the authors decouple the increasing/decreasing process into two sub‐modules,exposure adjustment and optional detail recovery,based on the characteristics of different variations of exposure values.With these improvements,this method can fast and flexibly estimate the multi‐exposure stack from a single low dynamic range image.Experiments on several datasets demonstrate the advantages of the proposed method compared to state‐of‐the‐art inverse tone mapping methods. | Ning Zhang Yuyao Ye Yang Zhao Xufeng Li Ronggang Wang | 2023 | CAAI Transactions on Intelligence Technology2023，8，4： | 0 |
| 8 | Robust Joule-heating ceramic reactors for catalytic CO oxidation显示文摘Joule-heating reactors have the higher energy efficiency and product selectivity compared with the reactors based on radiative heating.Current Joule-heating reactors are constructed with electrically-conductive metals or carbon materials,and therefore suffer from stability issue due to the presence of corrosive or oxidizing gases during high-temperature reactions.In this study,chemicallystable and electrically-conductive(La_(0.80)Sr_(0.20))_(0.95)FeO_(3)(LSF)/Gd_(0.1)Ce_(0.9)O_(2)(GDC)ceramics have been used to construct Joule-heating reactors for the first time.Taking the advantage of the resistance decrease of the ceramic reactors with temperature increase,the ceramic reactors heated under current control mode achieved the automatic adjustment of heating to stabilize reactor temperatures.In addition,the electrical resistance of LSF/GDC reactors can be tuned by the content of the highconductive LSF in composite ceramics and ceramic density via sintering temperature,which offers flexibility to control reactor temperatures.The ceramic reactors with dendritic channels(less than 100μm in diameter)showed the catalytic activity for CO oxidation,which was further improved by coating efficient MnO_(2)nanocatalyst on reactor channel wall.The Joule-heating ceramic reactors achieved complete CO oxidation at a low temperature of 165℃.Therefore,robust ceramic reactors have successfully demonstrated effective Joule heating for CO oxidation,which are potentially applied in other high-temperature catalytic reactions. | Fangsheng LIU Zhibo ZHAO Yuyao MA Yi GAO Jiajie LI Xun HU Zhengmao YE Yihan LING Dehua DONG | 2022 | Journal of Advanced Ceramics2022，11，7： | 0 |
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