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Colour Variation Minimization Retinex Decomposition and Enhancement with a Multi-Branch Decomposition Network

Chinese Journal of Electronics 2023年第4期32卷 908-919页

作者： deng jiawei YU Zhenming PANG Guangyao Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University School of Information and Communication Guilin University of Electronic Technology

This paper proposes a colour variation minimization retinex decomposition and enhancement with a multi-branch decomposition network(CvmD-net)to remove single image darkness. The network overcomes the problem that retinex deep learning model relies on matching bright images to process dark images. Specifically, our method takes two stages to light up the darkness in initial images: image decomposition and brightness optimization. We propose an input constant feature prior mechanism(ICFP) based on reflection constant features. The mechanism extracts structure and colour from the input images and constrains the reflected images output from the decomposition model to reduce color distortion and artifacts. The noise amplification during decomposition is addressed by a multi-branch decomposition network. Sub-networks with different structures are employed to focus on different prediction tasks. This paper proposes a reference mechanism for input brightness. This mechanism optimizes the output brightness distribution by calculating the reference brightness of the dark *** results on two benchmark datasets, namely,LOL and ZeroDCE, demonstrate that the proposed method can better balance dense noise interference and colour restoration. For the evaluation on real images, we collect Skynet images at night to verify the performance of the proposed approach. Compared with the state-of-the-art non-reference retinex decomposition-enhancement models,this paper has the best brightness optimization.

关键词： Reflectivity Image color analysis Brightness Interference Feature extraction Minimization Reflection

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Molecular insights on Ca^(2+)/Na+separation via graphene-based nanopores:The role of electrostatic interactions to ionic dehydration

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Chinese Journal of Chemical Engineering 2022年第1期35卷 220-229页

作者： Yumeng Zhang Yingying Zhang Xueling Pan Yao Qin jiawei deng Shanshan Wang Qingwei Gao Yudan Zhu Zhuhong Yang Xiaohua Lu College of Chemical Engineering State Key Laboratory of Materials-oriented Chemical EngineeringNanjing Tech UniversityNanjing 211816China College of Chemical Engineering Nanjing Forestry UniversityNanjing 210037China School of Chemical Engineering State Key Laboratory of Chemical EngineeringEast China University of Science and TechnologyShanghai 200237China

Ca^(2+)/Na+separation is a common problem in industrial applications,biological and medical ***,Ca^(2+)and Na+have similar ionic radii and hydration radii,thus Ca^(2+)/Na+separation is *** by biological channels,group modification is one of the effective methods to improve the separation *** this work,molecular dynamics simulations were performed to investigate the effects of different functional groups(COO,NH3+)on the separation performance of Ca^(2+)and Na+through graphene nanopores under an electric *** pristine graphene nanopore was used for *** showed that three types of nanopores preferred Ca^(2+)to Na+,and Ca^(2+)/Na+selectivity followed the order of GE-COO(4.06)>GE(1.85)>GE-NH3+(1.63).Detailed analysis of ionic hydration microstructure shows that different nanopores result in different hydration factors for the second hydration layer of Ca^(2+)and the first layer of Na+.Such different hydration factors corresponding to the dehydration ability can effectively evaluate the separation *** addition,the breaking of hydrogen bonds between water molecules due to electrostatic effects can directly affect the dehydration ***,the electrostatic effect generated by group modification will affect the ionic hydration microstructure,thus reflecting the differences in dehydration *** in turn affects the permeable and separation performance of *** results of this work provide perceptive guidelines for the application of graphene-based membranes in ion separation.

关键词： Separation Microstructure Molecular simulation Modified graphene nanopores Metal-ions Nanoconfinement

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Non-conjugated terpolymer acceptors for highly efficient and stable lager-area all-polymer solar cells

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Journal of Energy Chemistry 2022年第8期31卷 631-638,I0017页

作者： Jiabin Liu Jinliang Liu jiawei deng Bin Huang Jiyeon Oh Lin Zhao Liang Liu Changduk Yang Dong Chen Feiyan Wu Lie Chen College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry(IPEC) Nanchang UniversityNanchang 330031JiangxiChina Institute of Advanced Scientific Research(iASR)/Key Laboratory of Functional Organic Small Molecules for Ministry of Education Jiangxi Normal UniversityNanchang 330022JiangxiChina Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and Technology 156 Ke Jia AvenueGanzhou 341000JiangxiChina Department of Energy Engineering School of Energy and Chemical EngineeringPerovtronics Research CenterLow Dimensional Carbon Materials CenterUlsan National Institute of Science and Technology(UNIST)50 UNIST-gilUlju-gunUlsan 44919South Korea

All-polymer solar cells(all-PSCs)have made significant progress recently,but few studies have been conducted to investigate the lab-to-manufacturing translation from the spin-coating method to the printing ***,the random copolymerization method and non-conjugated backbone approach are integrated to manipulate the morphology and photoelectric properties of the active layer for large-area printed all-PSCs.A series of non-conjugated terpolymer acceptors PYSe-TC_(6)T(x)(x=5,10,and 20,refers to the molar ratio of TC_(6)T unit)are developed by covalently introducing non-conjugated unit TC_(6)T into the PYSe host bipolymer by random *** spin-coated PYSe-TC_(6)T(10)-based all-PSC demonstrates the best power conversion efficiency(PCE)of 13.54%,superior to the PYSe-based one(12.45%).More intriguingly,morphological studies reveal that a combination of the random polymerization and non-conjugated backbone strategy can effectively prevent the active layer from overaggregation and improve the film quality during the printing process,thereby minimizing the efficiency and technology gap between spin-coated small-area devices and blade-coated large-area *** directly using the same preparation condition of spin-coating,the blade-coated small-area(0.04 cm^(2))delivers a PCE of 12.83%and the large-area(1.21 cm^(2))device achieves a PCE of 11.96%with a small PCE *** PCE value and PCE loss are one of the most outstanding performances of the bladecoated *** findings reveal that a combination of the non-conjugated flexible backbone with random copolymerization to develop non-conjugated terpolymers is an attractive design concept to smoothly realize the lab-to-manufacturing translation.

关键词： All-polymer Non-conjugated Large area Blade-coating Lab-to-manufacturing translation

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基于双层局部KPCA的非线性过程微小故障检测方法

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化工学报 2018年第7期69卷 3092-3100页

作者：邓晓刚邓佳伟曹玉苹王磊中国石油大学(华东)信息与控制工程学院山东青岛266580

针对传统核主元分析(KPCA)方法难以有效检测微小故障的问题,提出一种基于双层局部核主元分析(double-level local kernel principal component analysis,DLKPCA)的非线性过程微小故障检测方法。该方法从变量和样本两个角度来挖掘数据内... 详细信息

针对传统核主元分析(KPCA)方法难以有效检测微小故障的问题,提出一种基于双层局部核主元分析(double-level local kernel principal component analysis,DLKPCA)的非线性过程微小故障检测方法。该方法从变量和样本两个角度来挖掘数据内部的局部信息,以提高故障检测能力。首先,利用变量分块思想,基于不同变量与核主元之间互信息相关度的相似性,将所有过程变量划分多个局部变量块。然后,构建基于得分向量和特征值的残差函数以挖掘样本局部信息。最后利用贝叶斯融合策略对各块的结果进行融合。在田纳西-伊斯曼基准过程的仿真结果表明,在微小故障检测方面,本文所提方法具有比传统KPCA方法更好的故障检测性能。

关键词：微小故障检测核主元分析局部信息变量分块贝叶斯融合策略

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Role of myeloid differentiation factor 88 in HSP60 signal transduction in dendritic cells

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Journal of Nanjing Medical University 2007年第1期21卷 36-41页

作者： Jiajun Chen Zongquan Sun Gang Su Chao Liu Jinping Liu Yongzhi deng jiawei Shi Department of Cardiovascular Surgery Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430022 China.

To explore the role and mechanism of myeloid differentiation factor88 （MyD88） in HSP60 signal transduction in dendritic cells. Methods：Mouse DCs were cultured from murine bone marrow cells. The DC marker CDllc was detected by flow cytometry, then DCs were divided into control group, HSP60 groupand RNA interference group. Control group was cultured under normal condition, and HSP60 group was cultured with 10 μg/ml of HSP60. RNA interference group was first cultured with MyD88 siRNA for12 hours and then HSP60 was added into the culture mixture. All groups were cultured for 48 hours. Immunochemistry was used to detect the concentration of MyD88 and NF- κB. Western blot was used to detect the concentration of MyD88. Flow cytometry and mixed lymphocyte reaction （MLR） were used to detect the phenotype and functional properties of DCs. ELISA was used to detect the concentration of TNF-α, IFN-γ and IL-12 in the supernatant. Results：The expression of CDllc in murine bone marrow DCs was 88.76%. HSP60 stimulation increased the expression of CD80, CD86, MHC-Ⅱ in DCs and TNF-α, IFN-7, IL-12 secretion in the supernatant. HSP60 stimulation also increased the level of MyD88 in the cytoplasm and promoted the shift of NF-κB to karyon and the proliferation of allogeneic T cells. MyD88 siRNA could decreaseMyD88 and inhibit these effects induced by HSP60. Conclusion：HSP60 activates DCs through MyD88-dependent pathway. MyD88 plays a critical role in HSP60 signal transduction. Inhibition of MyD88 may be a novel way for treating disease correlated with HSP60.

关键词： dendritic cells MyD88 heat-shock proteins signal transduction

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基于加权统计局部核主元分析的非线性化工过程微小故障诊断方法

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化工学报 2019年第7期70卷 2594-2605页

作者：邓佳伟邓晓刚曹玉苹张晓玲中国石油大学(华东)信息与控制工程学院山东青岛266580 中国石油大学胜利学院山东东营257061

传统统计局部核主元分析(statistical local kernel principal component analysis, SLKPCA)在构造改进残差时未考虑样本的差异性,使得故障样本信息易于被其他样本所掩盖,针对该问题,提出一种基于加权统计局部核主元分析(weighted stati... 详细信息

传统统计局部核主元分析(statistical local kernel principal component analysis, SLKPCA)在构造改进残差时未考虑样本的差异性,使得故障样本信息易于被其他样本所掩盖,针对该问题,提出一种基于加权统计局部核主元分析(weighted statistical local kernel principal component analysis, WSLKPCA)的非线性化工过程微小故障诊断方法。该方法首先利用KPCA获取过程的得分向量和特征值并构建初始残差。然后设计了一种基于测试样本与训练样本之间距离的加权策略构建加权改进残差,对含有较强微小故障信息的样本赋予较大权值,以增强故障样本的影响。最后,采用基于测量变量与监控统计量之间的加权互信息构建贡献图以识别故障源变量。在连续搅拌反应釜和田纳西伊斯曼(Tennessee Eastman, TE)化工过程上的仿真结果表明,所提方法具有良好的微小故障检测与识别性能。

关键词：化工过程微小故障核主元分析统计局部方法故障诊断

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基于WPRKPCA的非线性化工过程微小故障检测

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化工进展 2019年第12期38卷 5247-5256页

作者：蔡配配邓晓刚曹玉苹邓佳伟中国石油大学(华东)控制科学与工程学院

传统核主元分析法(KPCA)是一种广泛应用的非线性化工过程故障检测方法,但是其未充分利用过程数据的概率分布信息,往往难以有效检测过程中的微小故障。针对传统KPCA方法的局限性,本文提出了一种基于加权概率相关核主元分析(WPRKPCA)的非... 详细信息

传统核主元分析法(KPCA)是一种广泛应用的非线性化工过程故障检测方法,但是其未充分利用过程数据的概率分布信息,往往难以有效检测过程中的微小故障。针对传统KPCA方法的局限性,本文提出了一种基于加权概率相关核主元分析(WPRKPCA)的非线性化工过程微小故障检测方法。与传统KPCA方法监控核成分的变化不同,该方法利用Kullback Leibler散度(KLD)度量核成分的概率分布变化,进而建立基于KLD成分的统计监控模型,以充分挖掘过程数据所包含的概率信息。进一步考虑到不同KLD成分承载故障信息的差异性,该方法设计了一种基于核密度估计的指数加权策略,根据KLD成分描述故障信息程度的差异分配相应的权值,以加强监控模型对微小故障检测的灵敏性。在一个数值例子和连续搅拌反应器(CSTR)系统上的仿真结果表明,本文所提方法具有比传统KPCA方法更好的微小故障检测性能。

关键词：过程系统微小故障核主元分析 KL散度化学反应器数值模拟

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东北经济存在的问题与“二次振兴”东北的对策研究

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工业经济论坛 2016年第6期3卷 702-711页

作者：邓嘉纬吉林财经大学经济学院吉林长春130117

2014年以来,东北经济再次失速,人口持续外流,社会上出现了"二次振兴"东北的提法。影响东北经济的因素包括文化和社会意识、所有制结构、产业结构、金融资源利用能力、人口等多方面,其中社会意识落后是重要原因。地方政府首先要转变观念... 详细信息

2014年以来,东北经济再次失速,人口持续外流,社会上出现了"二次振兴"东北的提法。影响东北经济的因素包括文化和社会意识、所有制结构、产业结构、金融资源利用能力、人口等多方面,其中社会意识落后是重要原因。地方政府首先要转变观念,以吸收东南沿海民营上市公司的资本为抓手,依托现有的经济开发区和高新区,发挥产业优势和资源优势,通过引入外部资本、外部冲击来扭转东北地区的社会意识,使其符合现代市场经济要求,从而形成长期稳定的内生动力。

关键词：东北振兴对策

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A Study on Polyp Dataset Expansion Algorithm Based on Improved Pix2Pix

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Computers, Materials & Continua 2025年第2期82卷 2665-2686页

作者： Ziji Xiao Kaibo Yang Mingen Zhong Kang Fan jiawei Tan Zhiying deng Fujian Key Laboratory of Advanced Bus&Coach Design and Manufacture Xiamen University of TechnologyXiamen361024China School of Aerospace Engineering Xiamen UniversityXiamen361102China

The polyp dataset involves the confidentiality of medical records, so it might be difficult to obtain datasets with accurate annotations. This problem can be effectively solved by expanding the polyp data set with algorithms. The traditional polyp dataset expansion scheme usually requires the use of two models or traditional visual methods. These methods are both tedious and difficult to provide new polyp features for training data. Therefore, our research aims to efficiently generate high-quality polyp samples, so as to effectively expand the polyp dataset. In this study, we first added the attention mechanism to the generation model and improved the loss function to reduce the interference caused by reflection in the image generation process. Meanwhile, we used the improved generation model to remove polyps from the original image. In addition, we used masks of different shapes generated by random combinations to generate polyps with more characteristic information. The same generation model was used for the removal and generation of polyps. The generated polyp image has its own annotation, which is conducive to us directly using the expanded data set for training. Finally, we verified the effectiveness of the improved model and the dataset expansion scheme through a series of comparative experiments on the public dataset. The results showed that using the dataset we generate for training can significantly optimize the main performance indicators.

关键词： Polyp formation polyp detection image synthesis generative adversarial network Pix2Pix

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家长陪同对青少年中国画教学影响分析

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科技资讯 2020年第32期18卷 130-132页

作者：邓佳炜广州美术学院广东广州520000

通过实地调查及案例分析,研究在当前学校美术教育缺少中国画实践课程,越来越多对中国画感兴趣的青少年选择校外中国画培训教学现状下,分析中国画培训教学中家长陪同主要是出于安全考虑的原因,小部分家长与学生共同参与学习,家长的批评... 详细信息

通过实地调查及案例分析,研究在当前学校美术教育缺少中国画实践课程,越来越多对中国画感兴趣的青少年选择校外中国画培训教学现状下,分析中国画培训教学中家长陪同主要是出于安全考虑的原因,小部分家长与学生共同参与学习,家长的批评与指责有可能会浇灭学生学习中国画的兴趣,赞赏与鼓励能让学生坚持学习中国画,以及在教学过程中如何处理家长陪同带来的影响教师采取的应对方法。

关键词：家长陪同青少年中国画教学影响分析

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