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Two-phase clustering algorithm with density exploring distance measure

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CAAI Transactions on Intelligence Technology 2018年第1期3卷 59-64页

作者： Jingjing Ma xiangming jiang Maoguo Gong Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University PO Box 224 Xi'an 710071People's Republic of China

Here, the authors propose a novel two-phase clustering algorithm with a density exploring distance （DED） measure. In the first phase, the fast global K-means clustering algorithm is used to obtain the cluster number and the prototypes. Then, the prototypes of all these clusters and representatives of points belonging to these clusters are regarded as the input data set of the second phase. Afterwards, all the prototypes are clustered according to a DED measure which makes data points locating in the same structure to possess high similarity with each other. In experimental studies, the authors test the proposed algorithm on seven artificial as well as seven UCI data sets. The results demonstrate that the proposed algorithm is flexible to different data distributions and has a stronger ability in clustering data sets with complex non-convex distribution when compared with the comparison algorithms.

关键词：密度探索距离聚类算法计算方法人工智能

An enriched environment improves cognitive performance in mice from the senescence-accelerated prone mouse 8 strain Role of upregulated neurotrophic factor expression in the hippocampus

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Neural Regeneration Research 2012年第23期7卷 1797-1804页

作者： Zhenyun Yuan Mingwei Wang Baoyong Yan Ping Gu xiangming jiang Xiufen Yang Dongsheng Cui First Hospital of Hebei Medical University Brain Aging and Cognitive Neuroscience Laboratory of Hebei ProvinceShijiazhuang 050031 Hebei ProvinceChina

In this study,we examined 3-month-old female mice from the senescence-accelerated prone mouse 8 strain and age-matched homologous normal aging female mice from the senescence accelerated-resistant mouse 1 *** from each strain were housed in an enriched environment（including a platform,running wheels,tunnel,and some toys）or a standard environment for 3 *** mice housed in the enriched environment exhibited shorter escape latencies and a greater percentage of time in the target quadrant in the Morris water maze test,and they exhibited reduced errors and longer latencies in step-down avoidance experiments compared with mice housed in the standard ***,brain-derived neurotrophic factor mRNA and protein ex- pression in the hippocampus was significantly higher in mice housed in the enriched environment compared with those housed in the standard environment,and the level of hippocampal brain-derived neurotrophic factor protein was positively correlated with the learning and memory abilities of mice from the senescence-accelerated prone mouse 8 *** results suggest that an enriched environment improved cognitive performance in mice form the senescence-accelerated prone mouse 8 strain by increasing brain-derived neurotrophic factor expression in the hippocampus.

关键词： Alzheimer’s disease enriched environment cognition brain-derived neurotrophic factor neurotrophic factor senescence-accelerated prone mouse hippocampus neural regeneration

A multi-objective optimization framework for ill-posed inverse problems

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CAAI Transactions on Intelligence Technology 2016年第3期1卷 225-240页

作者： Maoguo Gong Hao Li xiangming jiang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education International Research Center for Intelligent Perception and Computation Xidian University No. 2 South TaiBai Road Xian 710071 China

Many image inverse problems are ill-posed for no unique solutions. Most of them have incommensurable or mixed-type objectives. In this study, a multi-objective optimization framework is introduced to model such ill-posed inverse problems. The conflicting objectives are designed according to the properties of ill-posedness and certain techniques. Multi-objective evolutionary algorithms have capability to optimize multiple objectives simultaneously and obtain a set of trade-off solutions. For that reason, we use multi-objective evolutionary algorithms to keep the trade-off between these objectives for image ill-posed problems. Two case studies of sparse reconstruction and change detection are imple- mented. In the case study of sparse reconstruction, the measurement error term and the sparsity term are optimized by multi-objective evolutionary algorithms, which aims at balancing the trade-off between enforcing sparsity and reducing measurement error. In the case study of image change detection, two conflicting objectives are constructed to keep the trade-off between robustness to noise and preserving the image details. Experimental results of the two case studies confirm the multi-objective optimization framework for ill-posed inverse problems in image processing is effective.

关键词： Ill-posed problem Image processing Multi-objective optimization Evolutionary algorithm

Hydrogen sulfide defends against the cardiovascular risk of Nw-nitro-L-argininemethyl ester-induced hypertension in rats via the nitric oxide/endothelial nitric oxide synthase pathway

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Chinese Medical Journal 2014年第21期127卷 3751-3757页

作者： Ji Wenqiang Liu Shangyu Dai Jing Yang Tao jiang xiangming Duan Xiaocui Wu Yuming Department of Emergency First Hospital of Hebei Medical University Shijiazhuang Hebei 050030 China Department of Physiology Institute of Basic Medicine Hebei Medical University Shijiazhuang Hebei 050017 China Department of Cadres Health Care Third Hospital of Shijiazhuang Shijiazhuang Hebei 050011 China

Background Dyslipidemia caused by liver injury is a significant risk factor for cardiovascular *** studies have shown that hydrogen sulfide （H2S） protects against multiple cardiovascular disease states in a similar manner as nitric oxide （NO）,and NO/endothelial nitric oxide synthase （eNOS） pathway is the key route of NO *** purpose of this study was to investigate whether H2S can ameliorate the high blood pressure and plasma lipid profile in Nw-nitro-L-argininemethyl ester （L-NAME）-induced hypertensive rats by NO/eNOS *** Thirty-six 4-week old Sprague-Dawley （SD） male rats were randomly assigned to 6 groups （n=6）：control group,L-NAME group,control ＋ glibenclamide group,control ＋ NaHS group,L-NAME ＋ NaHS group,and L-NAME ＋ NaHS ＋ glibenclamide *** were made of plasma triglycerides （TG）,low-density lipoprotein （LDL）,high-density lipoprotein （HDL）,total cholesterol （CHO）,glutamic-pyruvic transaminase （ALT） levels after 5 *** measurements of NO level and proteins expression of eNOS,P-eNOS,AKT,P-AKT were made in liver *** After 5 weeks of L-NAME treatment,the blood pressure,plasma TG （（1.22±0.12） mmol/L in L-NAME group vs.（0.68±0.09） mmol/L in control group; P ＜0.05） and LDL （（0.54±0.04） mmol/L in L-NAME group vs.（0.28±0.02） mmol/L in control group; P ＜0.05） concentration were significantly increased,and the plasma HDL （（0.26±0.02） mmol/L in L-NAME group vs.（0.69±0.07） mmol/L in control group; P ＜0.05） concentration significantly *** the rats treated with L-NAME exhibit dysfunctional eNOS,diminished NO levels （（1.36±0.09） mmol/g protein in L-NAME group vs.（2.34±0.06） mmol/g protein in control group; P ＜0.05） and pathological changes of the liver.H2S therapy can markedly decrease the blood pressure （（37.25±4.46） mmHg at the fifth week; P ＜0.05）,and ameliorate the plasma TG （（0.59±0.06） mmHg）,LDL （（0.32±0.04） mmHg）,and HDL （（0.46±0.03） mmHg） concentration in L-NAME ＋ NaHS group （all

关键词： hydrogen sulfide Nw-nitro-L-argininemethyl ester nitric oxide KATP channel

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淮南煤田陷落柱型暗构造的形成机理

中国矿业 2024年第S2期33卷 296-300页

作者：蒋向明中煤地华盛水文地质勘察有限公司河北邯郸056004

岩溶陷落柱是华北型煤田主要突水通道。本文运用大地构造理论研究了淮南煤田陷落柱形成的演化规律,建立了地质和数值模型,运用FLAC3D软件模拟了岩溶陷落柱形成过程。认为固结程度较低的寒武-奥陶系加里东-海西期古岩溶风化沉积物为印支... 详细信息

岩溶陷落柱是华北型煤田主要突水通道。本文运用大地构造理论研究了淮南煤田陷落柱形成的演化规律,建立了地质和数值模型,运用FLAC3D软件模拟了岩溶陷落柱形成过程。认为固结程度较低的寒武-奥陶系加里东-海西期古岩溶风化沉积物为印支-燕山期岩溶空洞的形成提供了物质条件;印支-燕山期古岩溶地下水系统强径流带的地下水径流作用为印支-燕山期岩溶空洞形成提供了动力条件;印支-燕山期岩溶空洞形成的卸压作用为淮南煤田岩溶陷落柱形成提供了动力条件;因而,固结程度较低的加里东-海西期古岩溶风化沉积物、印支-燕山期古岩溶地下水系统的强径流作用、石炭二叠系煤系地层的地应力是淮南岩溶陷落柱形成的机理。解决了淮南岩溶陷落柱型暗构造出现沿断层呈带状分布或陷落柱长轴平行断层的现象,对于淮南煤田煤炭资源安全开发利用具有重要的指导意义。

关键词：印支期燕山期古岩溶地下水系统强径流带地应力

“双碳”背景下煤炭行业与地热产业双重发展机遇

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中国煤炭地质 2022年第S1期34卷 1-6页

作者：蒋向明中国煤炭地质总局水文地质局河北邯郸056004

“碳达峰、碳中和”背景下,煤炭服务行业如何转型升级,如何创新发展已成为不可回避的问题。在综合分析国内外相关研究成果的基础上,提出了服务于煤炭基础能源的3个创新发展方向和4个转型升级创新发展机遇。研究成果对于正确认识“双碳... 详细信息

“碳达峰、碳中和”背景下,煤炭服务行业如何转型升级,如何创新发展已成为不可回避的问题。在综合分析国内外相关研究成果的基础上,提出了服务于煤炭基础能源的3个创新发展方向和4个转型升级创新发展机遇。研究成果对于正确认识“双碳”目标下煤炭行业历史责任,把握创新发展的新机遇具有重大意义。

关键词： “双碳”背景梯级利用综合再造技术

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基于协同稀疏解混的高光谱图像变化检测方法

中国科学：信息科学 2023年第11期53卷 2283-2300页

作者：蒋祥明高天启公茂果蒋汾龙范晓龙西安电子科技大学电子工程学院协同智能系统教育部重点实验室西安710071

高光谱图像变化检测可以考察地物随时间的变化,而高光谱图像解混可以分析地物的物质(亚像元级)构成.因此,将高光谱图像解混引入到高光谱图像变化检测中,不仅可以考察地物发生变化与否,还能利用地物成分随时间的演变信息得到更精准的检... 详细信息

高光谱图像变化检测可以考察地物随时间的变化,而高光谱图像解混可以分析地物的物质(亚像元级)构成.因此,将高光谱图像解混引入到高光谱图像变化检测中,不仅可以考察地物发生变化与否,还能利用地物成分随时间的演变信息得到更精准的检测结果.本文首先从高光谱图像的线性混合模型出发,利用稀疏解混的思想对解混模型进行简化,进而采用直观的变化向量分析思路,逐步建立了基于协同稀疏解混的无约束高光谱变化检测模型.其次,本文基于子空间匹配的思想构造了匹配光谱库,以增加解混过程中光谱库和像元光谱的匹配程度.然后,本文设计了交替方向乘子法对所建立的无约束变化检测模型进行求解.最后,本文设计了自适应的丰度截断策略对解混结果进行集成以得到最终的变化检测结果.在仿真及真实数据集上的对比实验结果表明:本方法不仅可以得到高精度的变化检测结果,还可以在虚检和漏检之间寻求良好的平衡.

关键词：协同稀疏解混变化检测匹配光谱库交替方向乘子法自适应丰度截断

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太阳系公转与地球的构造运动和气候

中国煤炭地质 2020年第S1期32卷 1-4页

作者：蒋向明中国煤炭地质总局水文地质局河北邯郸056004

分析研究地球构造运动、气候变化、生物演化、磁场变化规律,结合天体运动周期性规律的对应关系,提出了地壳运动、地球气候、磁场变化等是太阳系公转周期性变化的结果,地球气候变化也存在大周期性“春夏秋冬”规律,地壳运动、气候变化是... 详细信息

分析研究地球构造运动、气候变化、生物演化、磁场变化规律,结合天体运动周期性规律的对应关系,提出了地壳运动、地球气候、磁场变化等是太阳系公转周期性变化的结果,地球气候变化也存在大周期性“春夏秋冬”规律,地壳运动、气候变化是长达2.25Ma周期变化,不是突变过程,全球性突发性灾难是不可能事件。

关键词：公转构造气候

综合勘查方法在超深水位岩溶区供水勘查中的应用——以娘子关泉域寿阳岩溶区供水勘查为例

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中国煤田地质 2007年第2期19卷 30-34页

作者：蒋向明中国煤炭地质总局水文地质局河北邯郸056004

在阳泉矿区寿阳区超深水位岩溶区,采用遥感、地震、地下水动态综合监测、抽水试验等综合勘查方法,基本查明了岩溶含水层段的空间分布特征及补径排条件,岩溶地下水的水化学特征及变化规律。在充分利用各种水文地质信息资料的基础上,对超... 详细信息

在阳泉矿区寿阳区超深水位岩溶区,采用遥感、地震、地下水动态综合监测、抽水试验等综合勘查方法,基本查明了岩溶含水层段的空间分布特征及补径排条件,岩溶地下水的水化学特征及变化规律。在充分利用各种水文地质信息资料的基础上,对超深水位岩溶区进行了地下水资源评价,节约了近30%的钻探工程量,缩短了勘探周期,取得了良好的经济效益和社会效益。

关键词：供水勘查综合勘查手段岩溶地下水超深水位寿阳区