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Dative B–N bonds weaven toward two-dimensional purely organic materials for single crystals

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Science China Chemistry 2025年第1期68卷 12-14页

作者： Wei-Lei zhou Siwei Wang Yong Chen College of Chemistry and Materials Science Inner Mongolia Key Laboratory of Chemistry for Nature Products and Synthesis for Functional Molecules Innovation Team of Optical Functional Molecular Devices Inner Mongolia Minzu University College of Chemistry Nankai University

Molecular topology is one of the important topics to study and understand the relationship between molecular structure and properties [1]. Particularly, two-dimensional (2D) materials with extremely high surface area and ultra-thin morphology have attracted considerable attention due to their unexpected properties in materials and chemistry [2,3].

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基于CEEMDAN-FastICA算法的非接触心率检测

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安徽理工大学学报（自然科学版） 2021年第2期41卷 1-8页

作者：凌六一汪晴晴周孟然安徽理工大学电气与信息工程学院安徽淮南232001 安徽理工大学人工智能学院安徽淮南232001

为了降低照明变化、相机内部等噪声干扰对远程光电容积描记法检测心率的误差,提出基于自适应噪声完备集合经验模态分解(CEEMDAN)与快速独立成分分析(FastICA)相结合的去噪方法,实现非接触式心率准确检测。首先对视频图像中人脸68个关键... 详细信息

为了降低照明变化、相机内部等噪声干扰对远程光电容积描记法检测心率的误差,提出基于自适应噪声完备集合经验模态分解(CEEMDAN)与快速独立成分分析(FastICA)相结合的去噪方法,实现非接触式心率准确检测。首先对视频图像中人脸68个关键点进行检测,获得感兴趣区域(ROI)并得到源信号;然后通过CEEMDAN对源信号进行分解并选取合适频段内的固有模式函数(IMF)进行重构,对重构信号进行FastICA盲源分离后将RGB各通道信号进行快速傅里叶变换,最终利用频谱峰值对应频率计算得到心率。对10名不同性别和年龄的人员进行了实验测量,并将测量结果与脉搏血氧检测参考仪器进行了对比分析,测量均方根误差和平均绝对误差分别为0.72bpm和0.60bpm。实验结果表明,所提方法能够有效去除心率检测源信号中的噪声,提高心率检测的准确性。

关键词：远程光电容积描记法心率检测 CEEMDAN FastICA

Fine-tuning the spatial allocation of phytohormones for smart canopy, smart breeding, and smart agriculture

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Science China Life Sciences 2025年第1期68卷 309-310页

作者： Tao zhou Lin Li National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University HuBei HongShan Laboratory

The dual challenges of global climate change and population growth have increased demand for higher crop yields per unit area. The innovative technology of smart agriculture aims to synergize breeding, cultivation, and production through the application of biological and informatics technologies. Historically, the “Green Revolution” introduced semidwarf varieties of certain key crops by utilizing mutations affecting gibberellin pathways, which significantly increased planting densities and yields.

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井下矿工多目标检测与跟踪联合算法

工矿自动化 2022年第10期48卷 40-47页

作者：周孟然李学松朱梓伟黄凯文安徽理工大学电气与信息工程学院安徽淮南232001

针对现有的煤矿井下矿工多目标跟踪算法检测速度慢、识别精度低等问题,提出了一种基于改进YOLOv5s模型与改进Deep SORT算法的多目标检测与跟踪联合算法。多目标检测部分,在YOLOv5s的基础上进行改进,得到YOLOv5s-GAD模型:引入幻象瓶颈卷... 详细信息

针对现有的煤矿井下矿工多目标跟踪算法检测速度慢、识别精度低等问题,提出了一种基于改进YOLOv5s模型与改进Deep SORT算法的多目标检测与跟踪联合算法。多目标检测部分,在YOLOv5s的基础上进行改进,得到YOLOv5s-GAD模型:引入幻象瓶颈卷积(GhostConv)模块和深度可分离卷积(DWConv)模块,分别替换YOLOv5s模型骨干网络和路径聚合网络中的BottleneckCSP模块,以提高特征提取速度;针对井下光线暗、图像噪点多等特点,在最小特征图中引入高效通道注意力神经网络(ECA-Net)模块,以提高模型整体精度。多目标跟踪部分,使用全尺度网络(OSNet)替换Deep SORT中的浅层残差网络进行全方位特征学习,以更好地实现行人重识别,提高目标跟踪的准确性。实验结果表明:在自定义数据集Miner21上,YOLOv5s-GAD模型的平均精度(交并比为0.5时)达97.8%,帧率达140.2帧/s,多目标检测效果优于常用的Faster RCNN,YOLOv3,YOLOv5s模型;在公开行人数据集MOT17上,多目标检测与跟踪联合算法的速度与准确率等综合性能优于IOU17,Deep SORT等常用多目标跟踪算法,人员身份转换次数最少,行人重识别效果最好;采用井下矿工多目标检测与跟踪联合算法能够及时检测并跟踪井下矿工,多目标跟踪效果良好。

关键词：煤矿安全多目标检测与跟踪行人重识别 YOLOv5s YOLOv5s-GAD Deep SORT 全尺度网络

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Microstructure and Wear/corrosion Resistance of Stainless Steel Laser-alloyed with Mn+W_(2)C, Mn+NiWC and Mn+SiC

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 283-294页

作者： zhou Rui DIAO Xiaogang SUN Yixin School of Metallurgical Engineering Jiangsu University of Science and TechnologyZhangjiagang 215600China CITIC Heavy Cast Iron Industry Co. Ltd.Luoyang 417039China

In-situ formed high Mn steel coating reinforced by carbides was formed by laser surface alloying(LSA).Laser alloyed layers on 1Cr18Ni9Ti steel with Mn+W_(2)C(specimen A),Mn+NiWC(specimen B)and Mn+SiC(specimen C)powders were fabricated to improve the wear and corrosion behavior of 1Cr18Ni9Ti steel blades in high speed *** evolution,phases,element distribution,microhardness,wear and corrosion behavior of the laser alloyed layers were *** indicated that high Mn steel matrix composites with undissolved W_(2)C,WC and other in-situ formed carbides were formed by LSA with Mn+W_(2)C and Mn+NiWC while SiC totally dissolved into the high Mn matrix when adding Mn+*** as the binding phase in Ni-WC powder decreased the crack sensitivity of the alloyed layer as compared with the addition of W_(2)C *** improvement in average microhardness was achieved in the matrix in specimen A,B and C,with the value of 615,602 and 277 HV_(0.5),while that of the substrate was 212 HV_(0.5).The increase of microhardness,wear and corrosion resistance is highly corelated to microstructure,formed phases,type and content of carbides,micro-hardness and toughness of the alloyed layers.

关键词： laser surface alloying stainless steel carbide type microstructure wear and corrosion resistance

基于FPGA的直流电动机伺服系统的PWM波模块设计

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科技信息 2008年第16期 39-40页

作者：王林周孟然齐刘宇安徽理工大学安徽淮南232001

提出的直流电动机伺服系统设计方案综合了EDA技术,单片机和模糊控制技术,采用模糊比例算法,即大范围内采用模糊控制,以提高系统的动态响应速度,在小范围内采用比例控制,以提高系统的稳态控制精度。试验证明:该系统细分精度高,可维护性强... 详细信息

提出的直流电动机伺服系统设计方案综合了EDA技术,单片机和模糊控制技术,采用模糊比例算法,即大范围内采用模糊控制,以提高系统的动态响应速度,在小范围内采用比例控制,以提高系统的稳态控制精度。试验证明:该系统细分精度高,可维护性强,响应速度快,控制效果理想。

关键词： FPGA 伺服系统模糊比例控制 PWM波

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智能化血压检测系统的研究

淮南工业学院学报 1999年第2期19卷 45-49页

作者：周孟然周绩贤崔北名淮南工业学院电气工程系淮南市建管处

介绍一种以８０９８单片机作下位机控制的智能化血压计，利用远程通讯由５８６上位机进行管理的系统。

关键词： 8098单片机远程通讯血压检测信号平均技术

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非本征F-P传感器在瓦斯检测系统中的应用

工矿自动化 2014年第8期40卷 91-94页

作者：戴婳周孟然王波徐彦东付学强安徽理工大学电气与信息工程学院 73682部队

详细介绍了非本征F-P光纤传感器的结构、特点和工作原理,阐述了非本征F-P光纤传感器在瓦斯检测系统中的应用。该传感器采用空芯光子晶体光纤作为载体,不受环境温度的影响,具有灵敏度高、抗干扰能力强、传输损耗小的特点,可显著提高瓦斯... 详细信息

详细介绍了非本征F-P光纤传感器的结构、特点和工作原理,阐述了非本征F-P光纤传感器在瓦斯检测系统中的应用。该传感器采用空芯光子晶体光纤作为载体,不受环境温度的影响,具有灵敏度高、抗干扰能力强、传输损耗小的特点,可显著提高瓦斯浓度检测的准确性和精度。

关键词：瓦斯浓度检测非本征F-P传感器空芯光子晶体单模光纤

Distributed fiber optic sensing system for vibration monitoring of 3D printed bridges

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Optoelectronics Letters 2025年第1期21卷 28-34页

作者： ZHAO Shuai zhou Ran LUO Mingming LIU Jianfei LIU Xiongfei zhou Tao School of Electronic Information Engineering Hebei University of Technology Tianjin Key Laboratory of Electronic Materials and Devices School of Civil Engineering and Transportation Hebei University of Technology Tianjin Jinhang Institute of Technical Physics

The fiber optic sensing technology provides data support in structural health monitoring of the macro facilities, including design, construction, and maintenance of bridges, tunnels, ports and other infrastructures. In this paper, a distributed vibration sensing system is proved to be responsive to a single touch over a 1.8-m-long equivalent fiber segment, covering a vibration frequency from 5 Hz to 25 kHz. The sensing fiber was arranged as an S type layout on the bridge to recognize the standing state, windblown disturbance, and walking vibration. Moreover, the knocking and climbing events are recognized fiber laying spinning lines and hanging on the fences, respectively. The demonstration shows an accurate positioning and sensitive vibration monitoring applied on the automated three-dimensional(3D) printed bridge, which is applicable to all kinds of 3D printed facilities as intelligent sensory neuro-networks.

关键词： Spinning (fibers)