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Direct solution for fixed source location using well-posed TDOA and FDOA measurements

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Journal of Systems Engineering and Electronics 2020年第4期31卷 666-673页

作者： LIU Congfeng yun jinwei SU Juan Research Institute of Electronic Countermeasure Xidian UniversityXi’an 710071China

Based on the time differences of arrival(TDOA) and frequency differences of arrival(FDOA) measurements of the given planar stationary radiation source, the joint TDOA/FDOA location algorithm which solves the location of the target directly is proposed. Compared with weighted least squares(WLS) methods,the proposed algorithm is also suitable for well-posed conditions,and gets rid of the dependence on the constraints of Earth's surface. First of all, the solution formulas are expressed by the radial range. Then substitute it into the equation of the radial range to figure out the radial range between the target and the reference station. Finally use the solution expression of the target location to estimate the location of the target accurately. The proposed algorithm solves the problem that WLS methods have a large positioning error when the number of observation stations is not over-determined. Simulation results show the effectiveness of the proposed algorithm, including effectively increasing the positioning accuracy and reducing the number of observatories.

关键词： passive location joint time differences of arrival/frequency differences of arrival(TDOA/FDOA)location direct solution stationary emitter well-posed equations

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多层隔热下工作面进风巷围岩传热特性

中国矿业 2024年第5期33卷 143-151页

作者：吕逸飞邱进伟邹云安徽理工大学煤炭安全精准开采国家地方联合工程研究中心安徽淮南232001 安徽理工大学安全科学与工程学院安徽淮南232001

深部矿井热害问题日益凸显,严重威胁作业人员生命健康,进一步影响矿井生产效益。本文通过围岩钻孔实验方法,研究了门克庆煤矿2102工作面、3100工作面、3106工作面及3107工作面进风巷围岩温度随径向深度变化规律;基于ANSYS软件,对膨胀玻... 详细信息

深部矿井热害问题日益凸显,严重威胁作业人员生命健康,进一步影响矿井生产效益。本文通过围岩钻孔实验方法,研究了门克庆煤矿2102工作面、3100工作面、3106工作面及3107工作面进风巷围岩温度随径向深度变化规律;基于ANSYS软件,对膨胀玻化微珠水泥隔热材料与空气夹层协同隔热效果进行研究。研究结果表明:围岩温度与径向深度之间的关系符合ExpAssoc模型,相关系数R2为0.99106;膨胀玻化微珠水泥隔热材料与空气夹层厚度均为3 cm、6 cm、9 cm、12 cm、15 cm、18 cm时,材料-空气协同隔热顺序与空气-材料协同隔热顺序相比,原巷道壁面温度更高,调热圈半径更小,隔热效果更好;材料-空气协同隔热时,空气夹层厚度在12 cm内对隔热效果影响更大,材料层厚度在6~18 cm内对隔热效果影响更大;对流换热系数与隔热层厚度呈反比,空气夹层厚度在12 cm内其变化幅度大,而受材料层厚度影响较小。本文研究结果可为矿井多层隔热降温提供参考。

关键词：矿井热害围岩钻孔围岩温度场对流换热协同隔热

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车间层信息集成系统开发

机械管理开发 2010年第2期25卷 198-200页

作者：韩云彪经纬纺织机械股份有限公司榆次分公司山西晋中030601

提出了一个典型实用的车间层信息集成系统的框架结构,分析了集成系统的关键技术,介绍了以车间层控制器为核心的车间层-制造控制层-设备层三层控制结构的数控车间集成方式。

关键词：信息集成数控机床车间层控制器

云边协同背景下基于融合RF算法的电网数据资产综合处理技术

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沈阳工业大学学报 2024年第1期46卷 54-59页

作者：陈浩敏梁锦照马赟李晋伟南方电网数字电网研究院有限公司技术标准服务中心广东广州510663

针对现有大多数方法难以充分挖掘出电网数据潜在价值的问题,提出了一种云边协同背景下基于随机森林算法结合BP神经网络的电网数据资产综合处理技术。该技术在靠近电网数据源一侧部署边缘计算节点,以构建云边协同环境下的电网数字化资产... 详细信息

针对现有大多数方法难以充分挖掘出电网数据潜在价值的问题,提出了一种云边协同背景下基于随机森林算法结合BP神经网络的电网数据资产综合处理技术。该技术在靠近电网数据源一侧部署边缘计算节点,以构建云边协同环境下的电网数字化资产管理系统。利用随机森林算法设计分类器完成电网数据类型的划分,并将各类型数据输入至BP神经网络中进行学习,通过不断地迭代优化输出相应的综合处理结果。基于Python平台进行的实验分析结果表明,所提技术的分类准确率均超过了90%,能够有效提升电网数据资产的处理效率。

关键词：云边协同随机森林算法 BP神经网络电网数据资产电网数字化分类器数据处理负荷预测

Semilinear automorphisms of classical groups and quivers

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Science China Mathematics 2019年第11期62卷 2355-2370页

作者： jinwei Yang Zhiwei yun Department of Mathematical and Statistical Sciences University of AlbertaEdmontonAB T6G 2G1Canada Department of Mathematics Massachusetts Institute of TechnologyCambridgeMA 02139USA

For a classical group G over a field F together with a finite-order automorphism θ that acts compatibly on F, we describe the fixed point subgroup of θ on G and the eigenspaces of θ on the Lie algebra g in terms of cyclic quivers with involution. More precise classification is given when g is a loop Lie algebra, i.e.,when F = C((t)).

关键词： semilinear automorphisms classical groups quiver

Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI yun LIANG jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

Mechanism of the Selective Catalytic Reduction of NOx with NH3 over W-Doped Fe/TiO2 Catalyst

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Chemical Research in Chinese Universities 2014年第6期30卷 1005-1010页

作者： SHU yun WANG Hongchang ZHU jinwei ZHANG Fan Research Center of Air Pollution Control Technology Chinese Research Academy of Environmental Sciences Beijing 100012 P. R. China

The W-doped Fe/TiO2 catalyst prepared by an impregnation method exhibited a good NH3-selective cata- lytic reduction（SCR） activity and N2 selectivity with broad operation temperature window. The interaction between Fe and W could increase the amount of surface chemisorbed oxygen, and thus enhances the low temperature SCR activity by facilitating the fast SCR of 2NH3＋NO＋NO2 →2N2＋3H2O. The NH3-SCR reaction mechanism over the W-Fe/TiO2 was fully investigated via in situ diffuse reflectance infrared Fourier transform spectroscopy（in situ DRIFTS）. In the low temperature range（〈250 ℃）, the reactive surface species were mainly coordinated NH3, ionic NH~ and adsorbed NO2 species, and the SCR mainly followed the Langmuir-Hinshelwood mechanism, during which the adsorbed NO2 species became the important active sites. In the high temperature range（〉250 ℃）, the reactive surface species were mainly NH2, and the SCR mainly followed the Eley-Rideal mechanism, during which the for- mation of NH2NO intermediate species after H-abstraction of NH3 was the rate-determining step.

关键词： Selective catalytic reduction Iron Tungsten Reaction mechanism

小鼠细小病毒NS1蛋白的原核表达、多克隆抗体制备及其免疫原性评价

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中国畜牧兽医 2024年第11期51卷 4923-4931页

作者：张旭亮陈莉赵志刚马畅尤金炜董敏恽时锋中国人民解放军东部战区总医院实验动物室南京210000

【目的】通过原核表达系统表达小鼠细小病毒(Minute virus of mice,MVM)的非结构蛋白1(nonstructural protein 1,NS1),并制备其多克隆抗体,为MVM NS1蛋白生物学功能研究及相关检测方法的建立提供研究材料。【方法】通过同源重组将MVM N... 详细信息

【目的】通过原核表达系统表达小鼠细小病毒(Minute virus of mice,MVM)的非结构蛋白1(nonstructural protein 1,NS1),并制备其多克隆抗体,为MVM NS1蛋白生物学功能研究及相关检测方法的建立提供研究材料。【方法】通过同源重组将MVM NS 1基因与质粒pET-N-His-C-His进行连接构建重组质粒,将其转化大肠杆菌BL21(DE3)感受态细胞进行诱导表达,通过不同诱导条件筛选并纯化出无需复性的可溶性蛋白。将纯化后的重组蛋白NS1免疫新西兰大白兔制备多克隆抗体,通过间接ELISA法测定抗体效价。采用Western blotting和间接免疫荧光试验(IFA)鉴定重组蛋白的表达及免疫原性。【结果】SDS-PAGE分析显示,诱导表达的重组蛋白大小为76 ku,在诱导剂(IPTG)浓度为0.6 mmol/L、诱导温度为28℃条件下表达效果最佳。间接ELISA结果显示,制备的多克隆抗体效价为1∶32000。Western blotting和IFA检测结果显示,制备的NS1多克隆抗体可与NS1蛋白及MVM特异性结合。【结论】本研究成功表达并纯化获得MVM NS1重组蛋白,并制备了免疫原性良好的多克隆抗体,为进一步研究NS1蛋白生物学功能及其在MVM复制感染机制中的作用、MVM临床诊断方法的建立奠定了基础。

关键词：小鼠细小病毒非结构蛋白1 多克隆抗体免疫原性

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Active oxygen species and oxidation mechanism over Ce-doped LaMn_(0.8)Ni_(0.2)O_(3)/hierarchical ZSM-5 in pentanal oxidation

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Journal of Rare Earths 2021年第9期39卷 1062-1072页

作者： Jian Li Yingjie Shi Xiaoheng Fu yun Shu Jiayu Huang jinwei Zhu Gang Tian Jingnan Hu Research Center of Air Pollution Control Technology Chinese Research Academy of Environmental SciencesBeijing 100012China School of Chemical and Environmental Engineering China University of Mining and Technology(Beijing)Beijing 100083China

Hierarchical ZSM-5(HZ)molecular sieves based on fly ash were synthesized using a method combining water heat treatment with step-by-step *** coupling catalysts between La_(1-x)Ce_(x)Mn_(0.8)-Ni_(0.2)O_(3)(x≤0.5)perovskites and HZ were prepared through the impregnation method,which were characterized by X-ray diffraction(XRD),scanning electron microscopy(SEM),high-resolution transmission electron microscopy(HRTEM),N_(2)adsorption,X-ray photoelectron spectroscopy(XPS),NH3-temperature programmed desoprtion(NH3-TPD),H_(2)-temperature programmed reduction(H_(2)-TPR)and O_(2)-TPD techniques and investigated regarding pentanal oxidation at 120-390℃to explore the effects of Ce doping on the catalytic activity and the active oxygen species of the coupling catalysts,meanwhile,the reaction mechanism and pathway of pentanal oxidation were also *** results reveal that Ce substitution at La sites can change the electronic interactions between all the elements and promote the electronic transfer among La,Ce,Ni,Mn and HZ,influencing directly the physicochemical characteristics of the ***,the amount and transfer ability of surface adsorbed oxygen(O_(2)-and O-)regarded as the reactive oxygen species and the low temperature reducibility are the main influence factors in pentanal ***,La_(0.8)Ce_(0.2)Mn_(0.8)Ni_(0.2)O_(3)/HZ exhibits the best catalytic activity and deep oxidation capacity as well as a better water resistance due to its larger amount of surface adsorbed oxygen species and higher low temperature ***’s more,appropriate Ce substitution can significantly enhance the amount of O_(2)-ions,which can distinctly enhance the catalytic activity of the catalyst,and moderate acid strength and appropriate acid amount can also facilitate the improvement of the pentanal oxidation *** is found that there is a synergic catalytic effect between surface acidity and redox ability of the *** to the in s

关键词： Hierarchical ZSM-5 molecular sieve Catalytic oxidation Active oxygen species Perovskite Ce doping Rare earths