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Global Existence of Strong Solutions of Navier-Stokes-Poisson Equations for One-Dimensional Isentropic Compressible Fluids

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Chinese Annals of Mathematics,Series B 2008年第4期29卷 441-458页

作者： junping yin Zhong TAN Department of Mathematics Xiamen University Xiamen 361005 Fujian China.

The authors prove two global existence results of strong solutions of the isentropic compressible Navier-Stokes-Poisson equations in one-dimensional bounded intervals. The first result shows only the existence. And the second one shows the existence and uniqueness result based on the first result, but the uniqueness requires some compatibility condition. In this paper the initial vacuum is allowed, and T is bounded.

关键词： Global strong solutions Navier-Stokes-Poisson equations Existence and uniqueness

Research on Multi-Scale Feature Fusion Network Algorithm Based on Brain Tumor Medical Image Classification

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Computers, Materials & Continua 2024年第6期79卷 5313-5333页

作者： Yuting Zhou Xuemei Yang junping yin Shiqi Liu Graduate School China Academy of Engineering PhysicsBeijing100000China Department of Computational Mathematics Beijing Institute of Applied Physics and Computational MathematicsBeijing100000China National Key Laboratory of Computational Physics Beijing100088China Shanghai Zhangjiang Institute of Mathematics Shanghai201203China

Gliomas have the highest mortality rate of all brain *** classifying the glioma risk period can help doctors make reasonable treatment plans and improve patients’survival *** paper proposes a hierarchical multi-scale attention feature fusion medical image classification network(HMAC-Net),which effectively combines global features and local *** network framework consists of three parallel layers:The global feature extraction layer,the local feature extraction layer,and the multi-scale feature fusion layer.A linear sparse attention mechanism is designed in the global feature extraction layer to reduce information *** the local feature extraction layer,a bilateral local attention mechanism is introduced to improve the extraction of relevant information between adjacent *** the multi-scale feature fusion layer,a channel fusion block combining convolutional attention mechanism and residual inverse multi-layer perceptron is proposed to prevent gradient disappearance and network degradation and improve feature representation *** double-branch iterative multi-scale classification block is used to improve the classification *** the brain glioma risk grading dataset,the results of the ablation experiment and comparison experiment show that the proposed HMAC-Net has the best performance in both qualitative analysis of heat maps and quantitative analysis of evaluation *** the dataset of skin cancer classification,the generalization experiment results show that the proposed HMAC-Net has a good generalization effect.

关键词： Medical image classification feature fusion transformer

Proteins Associated with the Termination of Ocular Dominance Column Plasticity in Long Evans Rats

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眼科学报 2007年第3期23卷 143-152页

作者： junping Yao Zhengqin yin Shijun Wang Southwest Eye Hospital/Southwest Hospital The Third Military Medical University Chongqing 400038 China

Purpose:To investigate the mechanism of the termination of ocular dominance column plasticity by electrophysiologic analysis and 2-dimensional electrophoresis-mass spectrography(2-DE/MS).Methods:The changes in ocular dominance columns following monocular deprivation were electrophysiologically detected in 22-day-old,100-day-old and chondroitinase-perfused 100-day-old *** protein of grey matter of the primary visual cortex was extracted and studied by 2-DE/MS from the three groups of ***:Monocular deprivation may lead to shifts in ocular dominance columns in 22-day-old and chondroitinase-perfused 100-day-old rats,but not in 100-day-old *** protein spots present in grey matter of the primary visual cortex in 100-day-old,but not in that of 22-day-old and chondroitinase-perfused rats,and mass spectrography identified two of these ***:The electrophysiologic results show that ocular dominance column plasticity presents in 22-day-old rats,ends up in 100-day-old rats and restored in chondroitinase-perfused 100-day-old rats.2-DE/MS results show that phosphatidylethanolamine binding protein and glial fibrillary acidic protein delta may be associated with the termination of ocular dominance column plasticity in the rat,but need more evidence to confirm it.

关键词：二维电泳蛋白质视皮层软骨素硫酸盐 Long Evans鼠可塑性眼优势柱

Frame Construction and Task Analysis of Smart Energy in the Construction of Smart City

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Energy and Power Engineering 2020年第4期12卷 25-36页

作者： Linyu Wang Jiawei Zhou Hui Qi Yifan Ding junping yin State Grid (Suzhou) City & Energy Research Institute Suzhou China State Grid Energy Research Institute Beijing China State Grid Taizhou Power Supply Company Taizhou China

Smart energy is the foundation and important component of smart cities, and it is the source of energy that guarantees the efficient and reliable operation of each subsystem of the city. Based on the practical experience in the exploration of the construction of smart energy at home and abroad, and the goal of achieving “three transformations and one center”, the basic principles of the frame construction as well as display construction and physical construction of smart energy have been proposed. Four main tasks of the construction of smart energy have been discussed: infrastructure, energy supply, energy consumption, and management services.

关键词： Smart Energy Smart City Display Construction Physical Construction

等熵可压Navier-Stokes-Poisson方程局部强解适定性

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数学物理学报（A辑） 2009年第4期29卷 985-1000页

作者：尹俊平谭忠厦门大学数学科学学院福建厦门361005 北京应用物理与计算数学所北京100088

该文得到了三维情形等熵可压Navier-Stokes-Poisson方程局部强解的存在性、唯一性及稳定性.重要的是,该文允许初始密度真空的存在.首先用推广形式的Gronwall不等式得到了强解的局部存在性,然后得到了较弱条件下的唯一性,在证明唯一性的... 详细信息

该文得到了三维情形等熵可压Navier-Stokes-Poisson方程局部强解的存在性、唯一性及稳定性.重要的是,该文允许初始密度真空的存在.首先用推广形式的Gronwall不等式得到了强解的局部存在性,然后得到了较弱条件下的唯一性,在证明唯一性的同时得到了稳定性.

关键词：局部强解 Navier—Stokes—Poisson方程存在性唯一性稳定性.

基于非参数方法的频率密度分布计算及其并行优化

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强激光与粒子束 2014年第7期26卷 239-242页

作者：宋磊尹俊平沈卫超北京应用物理与计算数学研究所北京100094 中国工程物理研究院复杂电磁环境实验室四川绵阳621900

跳频序列预测是信息对抗的关键问题之一。基于跳频序列具有的伪随机特性和数据之间连续分布的相似性,采用非参数密度估计方法计算并预测出频率的大概率分布区间,进而用于引导通信的梳状灵巧干扰。针对实际应用对实时性的要求,在多结点... 详细信息

跳频序列预测是信息对抗的关键问题之一。基于跳频序列具有的伪随机特性和数据之间连续分布的相似性,采用非参数密度估计方法计算并预测出频率的大概率分布区间,进而用于引导通信的梳状灵巧干扰。针对实际应用对实时性的要求,在多结点多核平台上实现了基于消息传递机制的可扩展计算。测试表明,并行程序计算结果正确,并且具有较好的可扩展性。

关键词：复杂电磁环境跳频序列预测非参数密度估计 R 消息传递并行优化

Frame Construction and Task Analysis of Smart Energy in the Construction of Smart City

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Frame Construction and Task Analysis of Smart Energy in the ...

可压缩Navier-Stokes方程组球对称弱解的大时间行为

作者： Linyu Wang Jiawei Zhou Hui Qi Yifan Ding junping yin State Grid(Suzhou) City & Energy Research Institute State Grid Energy Research Institute State Grid Taizhou Power Supply Company

Smart energy is the foundation and important component of smart cities, and it is the source of energy that guarantees the efficient and reliable operation of each subsystem of the city. Based on the practical experience in the exploration of the construction of smart energy at home and abroad, and the goal of achieving "three transformations and one center", the basic principles of the frame construction as well as display construction and physical construction of smart energy have been proposed. Four main tasks of the construction of smart energy have been discussed: infrastructure, energy supply, energy consumption, and management services.

关键词： Smart Energy Smart City Display Construction Physical Construction

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数学年刊（A辑） 2012年第6期33卷 727-740页

作者：江飞许建开尹俊平福州大学数学与计算机科学学院福州361000 湖南农业大学理学院长沙410128 北京应用物理与计算数学研究所北京100088

研究了可压缩Navier-Stokes方程组球对称弱解的大时间行为．假设压强P（Q）=Qγ，绝热指数γ〉1，外力是球对称的．证明了假如外力满足一定的正则性及某种结构性条件，则当时间趋于无穷大时，密度将趋于其对应的静止问题的唯一解．

关键词：可压缩Navier-Stokes方程组球对称弱解静止问题

基于鲁棒损失函数的标签有噪信号调制方式识别

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计算物理 2022年第4期39卷 386-394页

作者：王晓波尹俊平徐岩北京应用物理与计算数学研究所北京100094 北京科技大学信息与计算科学系北京100083

针对现实信号调制方式标注易发生错误,即训练数据集中信号调制方式标签存在噪声情形,我们选取l模损失函数及其推广形式作为对标签噪声具有鲁棒性的损失函数,结合深度卷积神经网络优良的自动特征提取能力,提出一种针对信号调制方式存在... 详细信息

针对现实信号调制方式标注易发生错误,即训练数据集中信号调制方式标签存在噪声情形,我们选取l模损失函数及其推广形式作为对标签噪声具有鲁棒性的损失函数,结合深度卷积神经网络优良的自动特征提取能力,提出一种针对信号调制方式存在误判噪声的深度学习算法。该算法在训练数据集合标签噪声率达50%情形下,对信号调制方式的识别准确率依然保持较高水平。相反,对于采用通常的交叉熵作为损失函数的深度卷积神经网络,其已无法对信号调制方式进行分类识别。在公开的数据集上的数值实验表明,所提算法对于标签有噪信号调制方式识别具有较强的鲁棒性。

关键词： l1模损失函数 q损失函数信号调制有噪标签信号识别