检索结果-南通市图书馆

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

基于矿工的改进哈希时间锁定协议

应用科学学报 2023年第3期41卷 431-447页

作者：左宇轩强振平代飞苏世琪梁志宏西南林业大学大数据与智能工程学院云南昆明650224

针对哈希时间锁定协议无法实现跨链资产转移的问题,提出一种基于矿工的改进哈希时间锁定跨链交互协议。首先,在原子交换过程中加入了椭圆曲线加密算法,该算法使矿工在目标链上安全的生成与锁定交易,以完成用户的跨链资产转移;然后,在协... 详细信息

针对哈希时间锁定协议无法实现跨链资产转移的问题,提出一种基于矿工的改进哈希时间锁定跨链交互协议。首先,在原子交换过程中加入了椭圆曲线加密算法,该算法使矿工在目标链上安全的生成与锁定交易,以完成用户的跨链资产转移;然后,在协议中加入了矿工节点的竞争选取算法与奖惩算法,以实现一种新的币信证明共识机制;最后,对协议中的智能合约及其功能函数进行了详细阐述。在以太坊私链平台上进行仿真实验,结果表明该协议可安全地完成跨链资产转移,有效地激励矿工积极参与跨链交易。

关键词：区块链跨链哈希时间锁定协议资产转移椭圆曲线加密共识机制

江苏高校专利申请与授权量的综合考察——以2006-2017江苏高校专利申请与授权量为分析样本

在线全文

学校读者我要写书评

暂无评论

时代经贸 2019年第13期17卷 85-86页

作者：左宇轩鲁琪琪王玉佳南京邮电大学江苏南京210046

高校专利申请与授权量是检验高校专利转化成果的重要因素,也是我国技术创新体系中的重要组成部分。本文以2006-2017年江苏高校专利申请与授权量为分析样本,对江苏省的专利申请与授权量进行综合考察,发现江苏高校专利申请与授权量近十几... 详细信息

高校专利申请与授权量是检验高校专利转化成果的重要因素,也是我国技术创新体系中的重要组成部分。本文以2006-2017年江苏高校专利申请与授权量为分析样本,对江苏省的专利申请与授权量进行综合考察,发现江苏高校专利申请与授权量近十几年来不断增加、专利质量逐步提高,但是还有较大上升空间,且不同类型、不同地区高校的科技创新能力尚存在一定差距。

关键词：江苏高校专利申请授权

在线全文

学校读者我要写书评

暂无评论

自适应模糊控制在制冷系统中的应用

仪器仪表用户 2023年第10期30卷 52-55,68页

作者：段鹏斌左裕轩王旻张圣杰中广核研究院有限公司广东深圳518000 大亚湾核电运营管理有限责任公司广东深圳518000

在制冷系统中,由于其系统组成复杂,被控对象存在强非线性和大滞后特性,常规的PID控制系统无法满足控制要求。本文提出了一种自适应模糊控制算法,通过增加自适应调整因子和积分项提高制冷系统的控制性能。试验箱低温控制实验表明,自适应... 详细信息

在制冷系统中,由于其系统组成复杂,被控对象存在强非线性和大滞后特性,常规的PID控制系统无法满足控制要求。本文提出了一种自适应模糊控制算法,通过增加自适应调整因子和积分项提高制冷系统的控制性能。试验箱低温控制实验表明,自适应模糊控制在制冷系统中控制效果优异。

关键词：制冷系统模糊控制自适应环境试验箱

Tributyltin causes generational neurodevelopmental toxicity and the protective effect of folic acid in zebrafish

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2024年第3期137卷 615-625页

作者： Haoxing Cai Naying Zheng Chen Tang yuxuan Zhang Zhenghong zuo Chengyong He State Key Laboratory of Cellular Stress Biology School of Life SciencesFaculty of Medicine and Life SciencesXiang’an Hospital of Xiamen UniversityXiamen UniversityXiamen 361005China

Tributyltin(TBT),a common organotin environmental pollutant,may pose a threat to human development during critical early-life *** aimed to assess the neurodevelopmental intergenerational toxicity of early-life exposure to TBT and the protective effect of DNA methyl donor folic acid(FA).Specifically,after early-life exposure(1–21 days postfertilization,dpf)to TBT(0,1,10 and 100 ng/L),zebrafish(Danio rerio)were cultured in clean medium until sexual *** exposed females were mated with unexposed males to produce embryos(F1).The F1 generation were cultured(4–120 hours post-fertilization,hpf)with and without 1 mmol/L *** neurotoxic effects of early-life TBT exposure for zebrafish and their offspring(F1)were significantly enhanced anxiety and reduced aggression,decreased gene expression of DNA methyltransferase in the brain and increased serotonin levels in the ***,the intergenerational neurodevelopmental toxicity,as manifested in the F1 generation,was attenuated by FA *** summary,early-life TBT exposure led to intergenerational neurodevelopmental deficits in zebrafish,and DNA methyl donors had a protective effect on F1 neurodevelopment,which can inform the prevention and treatment of intergenerational neurotoxicity due to organotin pollutants.

关键词： Tributyltin Neurodevelopment Intergeneration DNA methylation Folic acid Zebrafish

典型分形结构光栅的Fraunhofer衍射数值模拟

在线全文

学校读者我要写书评

暂无评论

物理与工程 2024年第4期34卷 176-182页

作者：曹本澍左宇轩贺禹哲张博宇喻有理王小力西安交通大学航天航空学院西安交通大学电气工程学院西安交通大学物理学院陕西西安710049

本文旨在研究Cantor条幅、Cantor地毯、Sierpinski垫片三种自相似分形结构的Fraunhofer衍射场在屏上的光强分布以及自相似分形结构的几何规律.通过复数积分法和位移相移定理,得到了屏幕上不同位置相对光强的数学表达式。随后,使用MATLA... 详细信息

本文旨在研究Cantor条幅、Cantor地毯、Sierpinski垫片三种自相似分形结构的Fraunhofer衍射场在屏上的光强分布以及自相似分形结构的几何规律.通过复数积分法和位移相移定理,得到了屏幕上不同位置相对光强的数学表达式。随后,使用MATLAB进行数值计算和后处理,以直观的方式呈现出衍射图案.结果显示:衍射光强分布主体对称性由母代衍射图样的对称性确定;随着分形子代的增多,衍射图样在母代对称结构图样上逐渐分支复杂,最终收敛于类母代衍射图样,并满足衍射反比律.内容为光栅衍射和位移相移定理的教学拓展提供参考案例。

关键词：分形光栅分形结构 Fraunhofer衍射位移相移定理

Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions

在线全文

学校读者我要写书评

暂无评论

Acta Geochimica 2019年第4期38卷 541-554页

作者： Wei zuo Chunlai Li Lingjie Yu Zhoubin Zhang Rongwu Wang Xingguo Zeng yuxuan Liu Yaying Xiong Key Laboratory of Lunar and Deep Space Exploration National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Sciences University of Chinese Academy of SciencesBeijing 100049China School of Textile Science and Engineering Xi'an Polytechnic UniversityXi'an 710048China College of Textiles Donghua UniversityShanghai 200051China

This paper introduces a new method of small lunar craters’ automatic identification, using digital orthophoto map(DOM) data. The core of the approach is the fact that the lunar exploration DOM data reveal contrasting highlight and shadow characteristics of small craters under sunlight irradiation. This research effort combines image processing and mathematical modeling. Overall it proposes a new planetary data processing approach, to segment and extract the highlight and shadow regions of small craters,using the image gray frequency(IGF) statistical *** can also be applied to identify the coupling relationships between small craters’ shape and their relative features. This paper presents the highlight and shadow pair matching(HSPM) model which manages to perform highprecision automatic recognition of small lunar *** was performed using the DOM data of Chang’E-2(CE-2). The results have shown that the proposed method has a high level of successful detection rate. The proposed methodology that uses DOM data can complement the drawbacks of the digital elevation model(DEM) that has a relatively high false detection rate. A hybrid fusion model(FUM) that combines both DOM and DEM data, was carried out to simultaneously identify small, medium, and large-sized craters. It has been proven that the FUM generally shows stronger recognition ability compared to previous approaches and it can be adapted for high precision identification of craters on the whole lunar *** results meet the requirements for a reliable and accurate exploration of the Moon and the planets.

关键词： Moon Crater recognition Image processing Space exploration

A review on ultra-small undoped MoS_(2) as advanced catalysts for renewable fuel production

在线全文

学校读者我要写书评

暂无评论

Carbon Energy 2024年第2期6卷 92-112页

作者： Guoping Liu Lingling Ding yuxuan Meng Ahmad Ali Guifu zuo Xianguang Meng Kun Chang Oi Lun Li Jinhua Ye Hebei Provincial Laboratory of Inorganic Nonmetallic Materials College of Materials Science and EngineeringNorth China University of Science and TechnologyTangshanChina College of Materials Science and Technology Nanjing University of Aeronautics and AstronauticsNanjingChina School of Materials Science and Engineering Pusan National UniversityBusanKorea International Center for Materials Nanoarchitectonics(WPIMANA) National Institute for Materials Science(NIMS)1-1 NamikiTsukubaIbarakiJapan

Molybdenum disulfide(MoS_(2))has garnered significant attention in the field of catalysis due to the high density of active sites in its unique two-dimensional(2D)structure,which could be developed into numerous high-performance *** synthesis of ultra-small MoS2 particles(<10 nm)is highly desired in various experimental *** ultra-small structure could often lead to a distinct S-Mo coordination state and nonstoichiometric composition in MoSx,minimizing in-plane active sites of the 2D structure and making it probable to regulate the atomic and electronic structure of its intrinsic active sites on a large extent,especially in MoSx *** article summarizes the recent progress of catalysis over ultra-small undoped MoS_(2) particles for renewable fuel *** a systematic review of their synthesis,structural,and spectral characteristics,as well as the relationship between their catalytic performance and inherent defects,we aim to provide insights into catalysis over this matrix that may potentially enable advancement in the development of high-performance MoS_(2)-based catalysts for sustainable energy generation in the future.

关键词： applications catalytic MoS_(2) structure synthesis

Physics-informed deep learning for fringe pattern analysis

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Opto-Electronic Advances 2024年第4期7卷 4-15页

作者： Wei Yin yuxuan Che Xinsheng Li Mingyu Li Yan Hu Shijie Feng Edmund Y.Lam Qian Chen Chao zuo Smart Computational Imaging Laboratory(SCILab) School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing 210094China Smart Computational Imaging Research Institute(SCIRI)of Nanjing University of Science and Technology Nanjing 210019China Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing 210094China Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong SAR 999077China

Recently,deep learning has yielded transformative success across optics and photonics,especially in optical *** neural networks (DNNs) with a fully convolutional architecture (e.g.,U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks,such as fringe denoising,phase unwrapping,and fringe ***,the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive,as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning *** this end,we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (Le FTP) *** parameterizing conventional phase retrieval methods,the Le FTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples,while circumventing the requirement of collecting a large amount of high-quality data in supervised learning *** by the initial phase from Le FTP,the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end *** results demonstrate that PI-FPA enables more accurate and computationally efficient single-shot phase retrieval,exhibiting its excellent generalization to various unseen objects during *** proposed PI-FPA presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches,opening new avenues to achieve fast and accurate single-shot 3D imaging.

关键词： optical metrology deep learning physics-informed neural networks fringe analysis phase retrieval

同方期刊数据库

在线全文

学校读者我要写书评

暂无评论

内螺纹低频振动冷挤压试验研究

航空学报 2013年第2期34卷 442-450页

作者：梁瑜轩黎向锋左敦稳黄小龙缪宏南京航空航天大学机电学院江苏南京210016

内螺纹低频振动冷挤压加工是通过挤压丝锥棱齿的振动挤压,将传统内螺纹冷挤压加工中的干摩擦状态转变为更有利的边界摩擦状态,从而改善传统内螺纹冷挤压加工过程中冷却润滑液不易进入挤压区的严重缺陷。通过试验可知:随着激振频率的不... 详细信息

内螺纹低频振动冷挤压加工是通过挤压丝锥棱齿的振动挤压,将传统内螺纹冷挤压加工中的干摩擦状态转变为更有利的边界摩擦状态,从而改善传统内螺纹冷挤压加工过程中冷却润滑液不易进入挤压区的严重缺陷。通过试验可知:随着激振频率的不断增大,挤压扭矩呈不断增大趋势;随着激振力的不断增大,挤压扭矩呈现为先减小后增大的趋势;随着激振力臂长度的不断增大,挤压扭矩总体呈不断增大的趋势。在其他工艺参数相同条件下,低频振动冷挤压可以进一步提高传统内螺纹的牙高率和改善牙顶处凹陷的缺陷,从而提高冷挤压内螺纹的抗疲劳强度及获得更好的表面形貌。

关键词：内螺纹冷挤压低频振动挤压扭矩摩擦