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Emergent Geometry of KP Hierarchy

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Acta Mathematica Sinica,English Series 2024年第1期40卷 3-25页

作者： Jian zhou Department of Mathematical Sciences Tsinghua UniversityBeijng 100084P.R.China

We explain how to construct a quantum deformation of a spectral curve associated to a tau-function of the KP *** construction is applied to Witten-Kontsevich tau-function to give a natural explanation of some earlier ... 详细信息

关键词： KP hierarchy tau-functions spectral curves

基于AHP-GIS的内涝灾害风险评价研究--以揭阳市榕城区为例

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广东水利水电 2023年第8期 104-110页

作者：周佳麒广东省水利电力勘测设计研究院有限公司广州510635

基于内涝风险理论和内涝灾害成因机制,采用集成的AHP-GIS法,从区域的危险性、易损性、防灾减灾能力三方面选取考虑因子来构建风险评价模型,采用聚类和定性相结合的分析方法,对揭阳市榕城区进行洪涝灾害风险评价;研究结果表明,榕城区西... 详细信息

基于内涝风险理论和内涝灾害成因机制,采用集成的AHP-GIS法,从区域的危险性、易损性、防灾减灾能力三方面选取考虑因子来构建风险评价模型,采用聚类和定性相结合的分析方法,对揭阳市榕城区进行洪涝灾害风险评价;研究结果表明,榕城区西北部是本区内涝灾害风险等级较高的区域,内涝灾害易发区主要分布在中西部区域,东部及东南部的风险等级总体较低。经验证,研究结果客观反映了榕城区内涝灾害风险分布情况,可为灾害防御工作提供技术支撑。

关键词：内涝灾害风险评价层次分析法空间分析榕城区

The dry-hot feedback between soil moisture and atmosphere and the accelerated global warming

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Science China Earth Sciences 2024年第3期67卷 890-891页

作者： Tianjun zhou State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Greenhouse gas (GHG) emissions have been increasing due to human activities since the Industrial Revolution, resulting in continuous warming of the global climate system and significant drought over a large parts of global land, both have shown a non-linear growth trend in recent decades(Berg et al., 2017;zhou et al., 2019;IPCC, 2021).

关键词： warming moisture drought

Individualized coefficient of variability cut-off values for reducing the risk of hypoglycemia in Chinese type 1 diabetes mellitus(T1DM)patients

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Chinese Medical Journal 2024年第2期137卷 244-246页

作者： jiaqi Li Keyu Guo Liyin Zhang Jianan Ye Xia Li Zhiguang zhou Lin Yang National Clinical Research Center for Metabolic Diseases Key Laboratory of Diabetes Immunology(Central South University)Ministry of Educationand Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaHunan 410011China

To the Editor:Type 1 diabetes mellitus(T1DM)is a progressive disease caused by severe islet b-cell function impairment,resulting in high glucose variability(GV)in patients.[1]While intensive insulin treatment enabled T1DM patients to achieve near-normal glucose,reflected by reduced hemoglobin A1c(HbA1c)levels,stricter HbA1c targets were associated with an increased risk of hypoglycemia,which would compromise patients’quality of life and survival.[2]Recent studies suggest that GV reflects hypoglycemia better than HbA1c alone,and continuous glucose monitoring(CGM)provides a more comprehensive glycemic profile for better glucose indices assessment.[3]Therefore,we aimed to explore the relationship between the coefficient of variability(CV)of blood glucose and hypoglycemia in T1DM patients with different HbA1c levels and to identify the optimal cut-off values of CV for reducing the hypoglycemia risk in Chinese T1DM patients.

关键词： T1DM patients mellitus

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X 波段双栅场效应晶体管混频器

西北电讯工程学院学报 1987年第2期 92-98页

作者：周嘉祺西北电讯工程学院电磁场工程系

本文分析了双栅场效应晶体管的混频机理,讨论了低噪声混频模式混频器的设计方法,给出了用国产双栅场效应晶体管制作的 X 波段混频器测试结果。

关键词：场效应晶体管混频器 FET 双栅变频增益波段

Inverse aerodynamic design for distributed propulsion wing with expected circulation distribution

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CHINESE JOURNAL OF AERONAUTICS 2024年第9期37卷 206-223页

作者： Sun, Pengbo zhou, zhou Li, Xu Wang, Kelei Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China

Distributed Propulsion Wing (DPW) technology offers significant advantages in terms of flight energy savings, but the strong aerodynamic coupling between the propulsive internal flow and aerodynamic external flow brings significant design challenges. As the primary DPW profile design is of great significance, this paper proposes a hybrid method to solve the inverse problem mainly based on the formula relationship between the required aerodynamic loads and the profile shape, which is more direct and instructive compared with traditional parametric iterative methods. The aerodynamic characteristics are described by the circulation distribution in the Fourier series form, then the mean camber line of the profile is solved through the re-derived airfoil theory considering disk's influence. Further CFD correction methods are also proposed. To validate the effectiveness and feasibility of the proposed hybrid inverse method, several DPW profile design tests are then conducted. Finally, the relationship between 2D and realistic 3D unit shape is also researched. The results show that the proposed inverse design method has great accuracy and convergence speed in the design tests, and shows good robustness against changes of the design parameters. The 2D profile shape and the actual 3D shape of DPW unit can establish an aerodynamicpropulsion equivalent relationship based on the same internal mass fluxes. (c) 2024 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics. This is an open access article under the CC BY-NC-ND license (http://***/ licenses/by-nc-nd/4.0/).

关键词： Inverse problem Aerodynamic load Fourier series Flux FLOW SIMULATION SHAPE DESIGN HYBRID OPTIMIZATION

Surface wave inversion with unknown number of soil layers based on a hybrid learning procedure of deep learning and genetic algorithm

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Earthquake Engineering and Engineering Vibration 2024年第2期23卷 345-358页

作者： Zan zhou Thomas Man-Hoi Lok Wan-Huan zhou Department of Civil and Environmental Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina

Surface wave inversion is a key step in the application of surface waves to soil velocity ***,a common practice for the process of inversion is that the number of soil layers is assumed to be known before using heuristic search algorithms to compute the shear wave velocity profile or the number of soil layers is considered as an optimization ***,an improper selection of the number of layers may lead to an incorrect shear wave velocity *** this study,a deep learning and genetic algorithm hybrid learning procedure is proposed to perform the surface wave inversion without the need to assume the number of soil ***,a deep neural network is adapted to learn from a large number of synthetic dispersion curves for inferring the layer ***,the shear-wave velocity profile is determined by a genetic algorithm with the known layer *** applying this procedure to both simulated and real-world cases,the results indicate that the proposed method is reliable and efficient for surface wave inversion.

关键词： surface wave inversion analysis shear-wave velocity profile deep neural network genetic algorithm

基于Hysys和Matlab的天然气脱酸处理工艺优化

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世界石油工业 2023年第2期30卷 50-56页

作者：周嘉琦中国石油天然气股份有限公司华北油田分公司第四采油厂河北廊坊065000

目前,天然气脱酸工艺采用人为优化调整少量关键参数的模式很难达到全局最优。通过Aspen Hysys软件搭建了典型脱酸工艺流程,采用接口技术将Hysys软件和Matlab软件交互连接,以Hysys软件作为模拟平台,Matlab软件作为优化和数据库存储平台,... 详细信息

目前,天然气脱酸工艺采用人为优化调整少量关键参数的模式很难达到全局最优。通过Aspen Hysys软件搭建了典型脱酸工艺流程,采用接口技术将Hysys软件和Matlab软件交互连接,以Hysys软件作为模拟平台,Matlab软件作为优化和数据库存储平台,在目标函数和约束条件的限制下,通过粒子群算法和径向基神经网络实现对多个决策变量的优化和自动调整。结果表明,所建的Hysys模型可以很好地反映脱酸工艺生产规律;在净化气达到二类指标的基础上,优化后MDEA循环量、MDEA溶液质量分数、原料气温度、再生塔塔板数等均有所下降,单位综合能耗值较优化前下降22.9%;再生塔回流比从3.5降至3.2,优化后回流比可保证再生塔的各层塔板工作在最优区间。HYSYS与MATLAB联用的模式可为天然气处理工艺参数的实时调整和优化提供参考。

关键词：天然气脱酸工艺 Hysys Matlab 粒子群算法优化调整

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基于GAN的光伏逆变器数据异常检测技术

电力系统保护与控制 2022年第1期50卷 133-140页

作者：周嘉琪毕利宁夏大学信息工程学院宁夏银川750021

随着实际环境中实时传感器数据的增加,定位异常情况变得越来越困难。同时,在基于图像的异常检测领域,生成对抗网络因其能够对复杂的高维图像分布进行建模而得到发展。为了能够精准快速地定位光伏发电系统中光伏逆变器的异常,提出了一种... 详细信息

随着实际环境中实时传感器数据的增加,定位异常情况变得越来越困难。同时,在基于图像的异常检测领域,生成对抗网络因其能够对复杂的高维图像分布进行建模而得到发展。为了能够精准快速地定位光伏发电系统中光伏逆变器的异常,提出了一种新的基于GAN的异常检测和定位框架。并将多变量时间序列利用角场转换为一系列二维图像,以此利用编码器和解码器的结构。特别是在一系列图像中采用卷积长短期记忆网络的编码器,保证了对每个时间序列数据的时间信息以及各变量之间的相关信息进行提取。最后通过执行异常评分函数来检测和定位异常,并通过相关实验证明了此方法在实际光伏逆变器数据异常检测任务中的有效性。

关键词：异常检测光伏逆变器生成对抗网络卷积长短期记忆神经网络