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碳化处理含钢渣建筑材料的体积安定性研究进展

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施工技术（中英文） 2024年第16期53卷 1-10页

作者：邵旭阳贺智敏陈鑫宁波大学土木工程与地理环境学院浙江宁波315211 宁波大学滨海城市轨道交通协同创新中心浙江宁波315211

钢渣是炼钢排出的固体废渣,我国钢渣产量巨大,但综合利用率低,占用土地且污染环境,迫切需实现钢渣的资源化利用。近年来已开始将钢渣作为胶凝材料或骨料应用在建筑材料中,已有研究和工程实践表明,钢渣中f⁃CaO和f⁃MgO在服役期间遇水会造... 详细信息

钢渣是炼钢排出的固体废渣,我国钢渣产量巨大,但综合利用率低,占用土地且污染环境,迫切需实现钢渣的资源化利用。近年来已开始将钢渣作为胶凝材料或骨料应用在建筑材料中,已有研究和工程实践表明,钢渣中f⁃CaO和f⁃MgO在服役期间遇水会造成体积膨胀,引发建筑材料的体积安定性不良问题,故解决钢渣的体积安定性问题是实现钢渣资源化利用的关键。研究发现钢渣具有较高的碳化反应活性,碳化反应可消耗钢渣中的f⁃CaO和f⁃MgO,通过碳化处理可改善含钢渣建筑材料的体积安定性不良问题,为钢渣的推广应用提供新途径。基于已有研究,综述了碳化处理含钢渣建筑材料的体积安定性研究进展,介绍了钢渣的组成和分类,探讨了钢渣的膨胀机理,综述了碳化温度、水固比、湿度、粒径和级配、CO_(2)浓度和压力、碳化时间、外加剂等碳化因素对含钢渣建筑材料体积安定性的影响,针对研究现状和存在的问题提出了碳化钢渣建筑材料进行工程应用的研究方向。

关键词：钢渣体积安定性游离氧化钙游离氧化镁 RO相碳化

A deep Q-learning network based active object detection model with a novel training algorithm for service robots

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Frontiers of Information Technology & Electronic Engineering 2022年第11期23卷 1673-1683页

作者： shaopeng LIU Guohui TIAN Yongcheng CUI xuyang shao School of Control Science and Engineering Shandong UniversityJinan 250061China

This paper focuses on the problem of active object detection(AOD).AOD is important for service robots to complete tasks in the family environment,and leads robots to approach the target ob ject by taking appropriate moving *** of the current AOD methods are based on reinforcement learning with low training efficiency and testing ***,an AOD model based on a deep Q-learning network(DQN)with a novel training algorithm is proposed in this *** DQN model is designed to fit the Q-values of various actions,and includes state space,feature extraction,and a multilayer *** contrast to existing research,a novel training algorithm based on memory is designed for the proposed DQN model to improve training efficiency and testing *** addition,a method of generating the end state is presented to judge when to stop the AOD task during the training *** comparison experiments and ablation studies are performed based on an AOD dataset,proving that the presented method has better performance than the comparable methods and that the proposed training algorithm is more effective than the raw training algorithm.

关键词： Active object detection Deep Q-learning network Training method Service robots

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资产证券化“产权炼金术”

产权导刊 2006年第8期 27-28页

作者：邵绪阳中央财经大学金融学院

一、资产证券化,“产权炼金术”随着国家开发银行、中国建设银行的信贷资产证券化产品在银行间债券市场挂牌,中国联通和东莞控股的两个企业资产证券化产品也在上海证券交易所和深圳证券交易所挂牌上市。“资产支持证券”这

关键词：资产证券化发起人金融财政金融产权资产池炼金术

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中国与南亚国家金融监管合作研究

南亚研究季刊 2021年第1期 77-94,157页

作者：蒋瑛陈钰晓邵旭阳四川大学经济学院

随着中国与南亚国家在货币市场、银行市场和证券市场等金融领域的合作不断深入,金融监管合作偏少的问题日渐暴露。为此,与南亚国家开展有效的金融监管合作,以适应地区性金融服务不断发展的需要,成为下一阶段亟待完善的国际性合作议题。... 详细信息

随着中国与南亚国家在货币市场、银行市场和证券市场等金融领域的合作不断深入,金融监管合作偏少的问题日渐暴露。为此,与南亚国家开展有效的金融监管合作,以适应地区性金融服务不断发展的需要,成为下一阶段亟待完善的国际性合作议题。本文选取2000—2019年中国与南亚国家的面板数据,测算中国与南亚各国的金融监管合作水平,研究发现双方的金融合作程度、双边贸易往来、金融市场发展水平、金融市场监管差异、信息共享基础等都是影响金融监管合作的重要因素。基于此,本文进一步对中国与南亚国家金融监管合作面临的机遇和挑战进行更全面的梳理总结,并提出实现路径。

关键词：中国-南亚金融监管合作实现路径

HiFAST:An HIdata calibration and imaging pipeline for FAST

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 182-199页

作者： Yingjie Jing Jie Wang Chen Xu Ziming Liu Qingze Chen Tiantian Liang Jinlong Xu Yixian Cao Jing Wang Huijie Hu Chuan-Peng Zhang Qi Guo Liang Gao Mei Ai Hengqian Gan xuyang Gao Jinlin Han Ligang Hou Zhipeng Hou Peng Jiang Xu Kong Fujia Li Zerui Liu Li shao Hengxing Pan Jun Pan Lei Qian Jinghai Sun Ningyu Tang Qingliang Yang Bo Zhang Zhiyu Zhang Ming Zhu National Astronomical Observatories Chinese Academy of SciencesBeijing 100012China Institute for Frontiers in Astronomy and Astrophysics Beijing Normal UniversityBeijing 02206China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China Guizhou Radio Astronomical Observatory Guizhou UniversityGuiyang 55000China Max Planck Institute for Extraterrestrial Physics Garching 85748Germany Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China Institute of Computational Cosmology Department of PhysicsUniversity of DurhamDurham DHI 3LEUK CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China Deep Space Exploration Laboratory/Department of Astronomy University of Science and Technology of ChinaHefei 230026China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China Astrophysics Department of PhysicsUniversity of OxfordOxford OX/3RHUK College of Earth Sciences Guilin University of TechnologyGuilin 541004China Department of Physics Anhui Normal UniversityWuhu 241002China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Key Laboratory of Modern Astronomy and Astrophysics Nanjing UniversityNanjing 20023China

The Five-hundred-meter Aperture Spherical radio Telescope(FAST)has the largest aperture and a 19-beam L-band receiver,making it powerful for investigating the neutral hydrogen atomic gas(HI)in the *** present HiFAST(https://***),a dedicated,modular,and self-contained calibration and imaging pipeline for processing the H?data of *** pipeline consists of frequency-dependent noise diode calibration,baseline fitting,standing wave removal using an FFT-based method,flux density calibration,stray radiation correction,and gridding to produce data *** modules can be combined as needed to process the data from most FAST observation modes:tracking,drift scanning,On-The-Fly mapping,and most of their *** HiFAST,the root-mean-square(RMS)noises of the calibrated spectra from all 19 beams were only slightly(~5%)higher than the theoretical *** results for the extended source M33 and the point sources are consistent with the results from *** moment maps(0,1 and 2)of M33 agree well with the results from the Arecibo Galaxy Environment Survey(AGES)with a fractional difference of less than 10%.For a common sample of 221 sources with signal-to-noise ratio S/N>10 from the Arecibo Legacy Fast ALFA(ALFALFA)survey,the mean value of fractional difference in the integrated flux density,Sint,between the two datasets is approximately 0.005%,with a dispersion of 15.4%.Further checks on the integrated flux density of 23 sources with seven observations indicate that the variance in the flux density of the source with luminous objects(Sint>2.5 Jy km s-1)is less than 5%.Our tests suggest that the FAST telescope,with the efficient,precise,and user-friendly pipeline HiFAST,will yield numerous significant scientific findings in the investigation of the H?in the universe.

关键词： fractional luminous correction

塔里木盆地西北缘早寒武世玉尔吐斯组硅质岩成因

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西北大学学报（自然科学版） 2024年第4期54卷 715-728页

作者：曹旭阳韩以贵鞠鹏程鲁立辉邵东石震西北大学地质学系/大陆动力学国家重点实验室陕西西安710069 中国科学技术大学地球和空间科学学院/中国科学院壳幔物质与环境重点实验室安徽合肥230026

对塔里木盆地西北缘下寒武统玉尔吐斯组硅质岩开展岩石学以及元素与硅同位素地球化学研究,探讨硅质岩的成因及沉积模式。岩石学观察表明,玉尔吐斯组中段硅质岩主要由隐晶硅质和微晶石英组成,未见碎屑石英,排除了陆源输入对硅质岩沉积的... 详细信息

对塔里木盆地西北缘下寒武统玉尔吐斯组硅质岩开展岩石学以及元素与硅同位素地球化学研究,探讨硅质岩的成因及沉积模式。岩石学观察表明,玉尔吐斯组中段硅质岩主要由隐晶硅质和微晶石英组成,未见碎屑石英,排除了陆源输入对硅质岩沉积的影响。玉尔吐斯组下段硅质岩相对富Fe且具有显著的Eu正异常,反映了硅质岩可能主要来源于海底热液;而中段硅质岩显示Y/Ho比值较高、中等Ce负异常、LREE亏损和Y正异常,说明硅质来源主要为海水,这也符合中段硅质岩具有总体偏向热水来源的δ^(30)Si值。此外,氧化还原敏感元素指标表明,玉尔吐斯组硅质岩的沉积环境为表层海水氧化,而底层海水缺氧甚至硫化。研究认为,玉尔吐斯组硅质岩的沉积模式为:下段硅质岩由大量富硅热液在上升流作用下直接沉积,之后热液活动减弱,氧化还原分层海洋促进海水中溶解的硅和铁循环耦合,硅质以Fe^(3+)-Si胶体形式共沉积,当硫化水域盛行时铁和硅循环解耦,沉积黑色页岩,形成中段硅质岩和黑色页岩互层。

关键词：塔里木盆地早寒武世玉尔吐斯组硅质岩沉积环境

混杂合成粗纤维及钢纤维对盾构管片混凝土性能的影响

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施工技术(中英文) 2023年第17期52卷 123-130页

作者：刘畅贺智敏邵旭阳陈鑫巴明芳宁波大学土木工程与地理环境学院浙江宁波315211

为提升盾构管片质量,优选合成粗纤维,将4种性能的高强合成粗纤维分别与钢纤维混杂制备盾构管片混凝土,研究其强度、抗渗性和收缩变形,并通过孔结构和电镜观测分析微观结构。结果表明,对比钢纤维混凝土,钢⁃合成粗纤维混凝土的56d劈裂抗... 详细信息

为提升盾构管片质量,优选合成粗纤维,将4种性能的高强合成粗纤维分别与钢纤维混杂制备盾构管片混凝土,研究其强度、抗渗性和收缩变形,并通过孔结构和电镜观测分析微观结构。结果表明,对比钢纤维混凝土,钢⁃合成粗纤维混凝土的56d劈裂抗拉强度提升32.7%,氯离子抗渗性提高37.3%,达到标准规定的良好水平。混杂合成粗纤维增强了混凝土限制收缩的能力,早龄期的收缩变形降低约23%。毛细水吸附系数有所增大,总孔隙率增大4.9%,且主要增加了孔径>30nm的大孔,无论钢纤维还是合成粗纤维,纤维混凝土过渡区均较致密,纤维与水泥黏结良好。

关键词：盾构管片混凝土钢纤维合成粗纤维力学性能抗渗性收缩微观结构

HiFAST:An H?data calibration and imaging pipeline for FAST

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Science China(Physics,Mechanics & Astronomy) 2024年第5期Mechanics & Astronomy) .卷 186-203页

作者： Yingjie Jing Jie Wang Chen Xu Ziming Liu Qingze Chen Tiantian Liang Jinlong Xu Yixian Cao Jing Wang Huijie Hu Chuan-Peng Zhang Qi Guo Liang Gao Mei Ai Hengqian Gan xuyang Gao Jinlin Han Ligang Hou Zhipeng Hou Peng Jiang Xu Kong Fujia Li Zerui Liu Li shao Hengxing Pan Jun Pan Lei Qian Jinghai Sun Ningyu Tang Qingliang Yang Bo Zhang Zhiyu Zhang Ming Zhu National Astronomical Observatories Chinese Academy of Sciences Institute for Frontiers in Astronomy and Astrophysics Beijing Normal University School of Astronomy and Space Science University of Chinese Academy of Sciences Guizhou Radio Astronomical Observatory Guizhou University Max Planck Institute for Extraterrestrial Physics Kavli Institute for Astronomy and Astrophysics Peking University Institute of Computational Cosmology Department of PhysicsUniversity of Durham CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of Sciences Deep Space Exploration Laboratory/Department of Astronomy University of Science and Technology of China School of Astronomy and Space Science University of Science and Technology of China Astrophysics Department of PhysicsUniversity of Oxford College of Earth Sciences Guilin University of Technology Department of Physics Anhui Normal University School of Astronomy and Space Science Nanjing University Key Laboratory of Modern Astronomy and Astrophysics Nanjing University

The Five-hundred-meter Aperture Spherical radio Telescope（FAST） has the largest aperture and a 19-beam L-band receiver,making it powerful for investigating the neutral hydrogen atomic gas（H?） in the *** present HiFAST（https://***）,a dedicated,modular,and self-contained calibration and imaging pipeline for processing the H?data of *** pipeline consists of frequency-dependent noise diode calibration,baseline fitting,standing wave removal using an FFT-based method,flux density calibration,stray radiation correction,and gridding to produce data *** modules can be combined as needed to process the data from most FAST observation modes:tracking,drift scanning,On-The-Fly mapping,and most of their *** HiFAST,the root-mean-square（RMS） noises of the calibrated spectra from all 19 beams were only slightly（～5%） higher than the theoretical *** results for the extended source M33 and the point sources are consistent with the results from *** moment maps（0,1 and 2） of M33 agree well with the results from the Arecibo Galaxy Environment Survey（AGES） with a fractional difference of less than 10%.For a common sample of 221 sources with signal-to-noise ratio S/N>10 from the Arecibo Legacy Fast ALFA（ALFALFA） survey,the mean value of fractional difference in the integrated flux density,Sint,between the two datasets is approximately 0.005%,with a dispersion of 15.4%.Further checks on the integrated flux density of 23 sources with seven observations indicate that the variance in the flux density of the source with luminous objects(Sint>2.5 Jy km s-1) is less than 5%.Our tests suggest that the FAST telescope,with the efficient,precise,and user-friendly pipeline HiFAST,will yield numerous significant scientific findings in the investigation of the H? in the universe.

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智能多载波波形调制系统:信号的产生与识别

电子与信息学报 2021年第11期43卷 3096-3104页

作者：邵凯付旭阳王光宇重庆邮电大学通信与信息工程学院重庆400065 移动通信技术重庆市重点实验室重庆400065 移动通信教育部工程研究中心重庆400065

移动通信应用场景逐渐呈现复杂化和多变化趋势,很难有一种普适性传输波形满足所有通信需求,这对多种波形的配合与协作提出了较高的要求。该文提出一种适用于复杂场景下的智能化多载波波形调制系统,发送端可通过波形激活因子选择产生合... 详细信息

移动通信应用场景逐渐呈现复杂化和多变化趋势,很难有一种普适性传输波形满足所有通信需求,这对多种波形的配合与协作提出了较高的要求。该文提出一种适用于复杂场景下的智能化多载波波形调制系统,发送端可通过波形激活因子选择产生合适的传输波形,接收端将不同波形信号的I/Q分量作为自适应因子,使用主成分分析法处理数据后送入智能波形识别网络(IWR-Net)完成信号的识别。所提系统融合深度学习网络,具有较为统一的硬件架构。仿真结果表明,所提方案在5G多场景下对不同发送波形识别准确率最高可达98.2%,并且在不同测试环境中具有良好的泛化性能。

关键词：智能化多载波波形调制系统多载波波形识别深度学习智能波形识别网络