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2002—2021年北半球中高纬度典型山脉积雪的时空变化对比分析

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冰川冻土 2024年第2期46卷 475-488页

作者：孙成杰王剑庚张永宏王雯皎朱灵龙田丰宋凯达南京信息工程大学大气物理学院中国气象局气溶胶与云降水重点开放实验室江苏南京210044 无锡学院物联网工程学院江苏无锡214105 南京信息工程大学自动化学院江苏南京210044

积雪是冰冻圈的重要组成部分,其对气候变化的响应存在明显的空间差异。阿尔泰山脉、阿尔卑斯山脉和喀斯喀特山脉分别是亚洲、欧洲和北美洲最重要的山脉之一,三条山脉同处于北半球中高纬度,具有丰富的积雪资源。本文基于MODIS每日积雪产... 详细信息

积雪是冰冻圈的重要组成部分,其对气候变化的响应存在明显的空间差异。阿尔泰山脉、阿尔卑斯山脉和喀斯喀特山脉分别是亚洲、欧洲和北美洲最重要的山脉之一,三条山脉同处于北半球中高纬度,具有丰富的积雪资源。本文基于MODIS每日积雪产品,获得阿尔泰山脉、阿尔卑斯山脉和喀斯喀特山脉的积雪覆盖率、积雪日数、积雪初日和积雪终日四个积雪参数,对比分析了三条山脉2002—2021年积雪的时空变化,并研究了气候因子对积雪参数的影响。结果表明,三条山脉积雪参数的空间分布差异明显。阿尔泰山脉积雪覆盖率最大,积雪日数最长,积雪初日最早,积雪终日最晚,分别为38.00%、141 d、66 d、207 d;阿尔卑斯山脉的积雪覆盖率、积雪日数、积雪初日、积雪终日分别为21.68%、79 d、97 d、194 d;喀斯喀特山脉的积雪覆盖率最小,积雪日数最短,积雪初日最晚,积雪终日最早,分别为15.18%、56 d、103 d、183 d。就趋势而言,阿尔泰山脉积雪覆盖率增大,更早的积雪和更晚的融雪使积雪日数增加;阿尔卑斯山脉积雪覆盖率减小,更早的融雪使得积雪日数减少;喀斯喀特山脉积雪覆盖率增大,更晚的融雪使得积雪日数增加。各气候因子中,地表温度对三条山脉积雪的影响比降水大。对三条山脉积雪时空变化的一致性对比分析,有助于全面了解北半球中高纬度山区积雪对气候变化响应的时空差异。

关键词：积雪阿尔泰山脉阿尔卑斯山脉喀斯喀特山脉 MODIS 时空变化趋势分析

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谷物冷却机的发展及创新

粮食储藏 2024年第1期53卷 21-26,I0005页

作者：杨冬平石翠霞纪佳璐王金营陈建赓谢刚北京东孚久恒仪器技术有限公司 102629

作为低温绿色储粮的关键设备,谷物冷却机采用机械制冷的方式,克服了自然通风及风机通风严重依赖环境条件的问题,可随时为粮堆提供设定温湿度的冷空气。我国粮食行业使用的谷物冷却机经历了完全进口、引进吸收、自主创新的过程,经过20多... 详细信息

作为低温绿色储粮的关键设备,谷物冷却机采用机械制冷的方式,克服了自然通风及风机通风严重依赖环境条件的问题,可随时为粮堆提供设定温湿度的冷空气。我国粮食行业使用的谷物冷却机经历了完全进口、引进吸收、自主创新的过程,经过20多年的发展,已经研制出多种制冷量规格的产品,满足不同类型的粮仓不同粮种制冷通风的需求,其COP值也从当初进口设备不足1.3^([1]),提高到2.0以上。近些年,谷物冷却机在单机产品技术方面不断提升,同时在信息化方面也通过电脑端软件和手机端APP实现了远程控制、无人值守,但是在集成化联动控制作业方面还需继续研究,才能真正实现智能化通风作业。本文介绍了我国谷物冷却机在功能、结构、性能、控制等方面的发展历程,分析研究当前研究的制冷新技术,并基于新技术的发展和行业需求提出谷物冷却机研究创新方向展望,以期为谷物冷却机的应用和研究发展提供参考。

关键词：低温绿色储粮谷物冷却机制冷技术信息化

Threshold-Based Adaptive Gaussian Mixture Model Integration(TA-GMMI)Algorithm for Mapping Snow Cover in Mountainous Terrain

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Computer Modeling in Engineering & Sciences 2020年第9期124卷 1149-1165页

作者： Yonghong Zhang Guangyi Ma Wei Tian jiangeng Wang Shiwei Chen School of Automation Nanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China School of Atmospheric Physics Nanjing University of Information Science&TechnologyNanjing210044China

Snow cover is an important parameter in the fields of computer modeling,engineering technology and energy *** the extensive growth of novel hardware and software compositions creating smart,cyber physical systems’(CPS)efficient end-to-end *** order to provide accurate snow detection results for the CPS’s terminal,this paper proposed a snow cover detection algorithm based on the unsupervised Gaussian mixture model(GMM)for the FY-4A satellite *** present,most snow cover detection algorithms mainly utilize the characteristics of the optical spectrum,which is based on the normalized difference snow index(NDSI)with thresholds in different *** algorithms require a large amount of manually labeled data for statistical analysis to obtain the appropriate thresholds for the study *** must be given to both the high and low elevations in the study *** is difficult to extract all snow by a fixed threshold in mountainous and rugged *** this research,we avoid relying on a manual analysis for different ***,an algorithm based on the GMM is proposed,integrating the threshold-based algorithm and the ***,the threshold-based algorithm with transferred thresholds from other satellites’analysis results are used to coarsely classify the surface *** results are then used to initialize the parameters of the ***,the parameters of that model are updated by an expectation-maximum(EM)iteration algorithm,and the final results are outputted when the iterative conditions *** results show that this algorithm can adjust itself to mountainous terrain with different elevations,and exhibits a better performance than the threshold-based *** with orbit satellites’snow products,the accuracy of the algorithm used for FY-4A is improved by nearly 2%,and the snow detection rate is increased by nearly 6%.Moreover,compared with microwave sensors’snow products,the accuracy is increased by n

关键词： Cyber physical systems FY-4A snow cover Gaussian mixture model

An Asteroid Landing Location Algorithm Based on Image Feature

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An Asteroid Landing Location Algorithm Based on Image Featur...

Human RBCs blood group conversion from A to O using a novel α-N-acetylgalactosaminidase of high specific activity

第25届中国控制与决策会议

作者： Li jiangeng Zhang Rong Wei Ruoyan Zhang Yu College of Electronic Information and Control Engineering Beijing University of Technology

ISBN: (纸本)9781467355339

Optical navigation technology is widely used in precision guidance for autonomous landing and hazard avoidance. According to the requirements of the computer vision landing location system on a planetary lander, this paper proposed an algorithm to automatically obtain the precise landing position, which is based on optical image features. The main contents of this paper are as follows: Firstly, an integrated corner detection algorithm is firstly applied to detect the interest corners on asteroid images, which performs quite well compared with other feature extraction methods in many aspects;Secondly, the paper introduces a mutual matching method based on moment invariant and regional feature mutual information;Finally, the landing position can be established by calculating the vectors between the goal landing point and the feature points obtained on the base image and correctly matching the feature point pairs on the base image with images captured by CCD camera in real time when landing on the asteroid. The simulated experiments have been conducted using Eros Asteroid images. The results show that the algorithm can achieve high matching accuracy and is qualified for engineering application.

关键词： corner detection feature matching regional mutual information and precision landing

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Chinese Science Bulletin 2008年第13期53卷 2008-2016页

作者： YU ChengYu XU Hua WANG LiSheng ZHANG jiangeng ZHANG YangPei Department of Blood Molecular Biology Institute of Military Transfusion Academy of Military Medical Science Beijing 100850 China Shaanxi Blood Centre Xi'an 710061 China Department of Experimental Hematology Institute of Radiation Medicine Academy of Military Medical Science Beijing 100850 China

α-N-acetylgalactosaminidase (αNAGA) can convert group A human red blood cells (RBCs) to group O. One novel αNAGA gene was cloned by PCR from Elizabethkingia meningosepticum isolated from a domestic clinical sample. Pure recombinant αNAGA was obtained by genetic engineering and protein purification with a calculated molecule of 49.6 kD. αNAGA was selective for terminal α-N-acetylgalacto-samine residue with a high specific activity. αNAGA could completely remove A antigens of 1 U (about 100 mL) group A1 or A2 RBCs in 1 h at pH 6.8 and 25℃ with a consumption of 1.5 or 0.4 mg recombinant enzyme. Enzyme-converted group A RBCs did not agglutinate after being mixed with monoclonal anti-A or sera of groups A,B,AB and O. Other blood group antigens except ABO had no change. FCM analy-sis showed that A antigens and A1 antigens disappeared while H antigens increased. It indicated that αNAGA successfully converted human blood group A RBCs to universally transfusable group O RBCs without the risk of ABO-incompatible transfusion reactions. This αNAGA was suitable for producing universal RBCs to increase clinical transfusion safety,improve the RBCs supply,and to decrease transfusion cost and support transfusion service in case of emergency.

关键词：血型转换输血反应 A抗原免疫反应

Tumor-specific gene expression patterns with gene expression profiles

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Science China(Life Sciences) 2006年第3期49卷 293-304页

作者： RUAN Xiaogang LI Yingxin LI jiangeng GONG Daoxiong WANG Jinlian School of Electronic Information and Control Engineering Beijing University of TechnologyBeijing 100022China

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor ***,a variation of the Relief algorithm,"RFE_Relief algorithm"was proposed to learn the relations between genes and tissue ***,a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their *** tissue-specific genes were removed,cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor *** results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues,and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.

关键词： cancer informative gene selection gene expression profile support vector machine.

Snow Cover Mapping for Mountainous Areas by Fusion of MODIS L1B and Geographic Data Based on Stacked Denoising Auto-Encoders

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Computers, Materials & Continua 2018年第10期57卷 49-68页

作者： Xi Kan Yonghong Zhang Linglong Zhu Liming Xiao jiangeng Wang Wei Tian Haowen Tan School of Atmospheric Science Nanjing University of Information Science and TechnologyNanjing210044China School of Information and Control Nanjing University of Information Science and TechnologyNanjing210044China School of Atmospheric Physics Nanjing University of Information Science and TechnologyNanjing210044China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Department of Computer Engineering Chosun UniversityGwangju501-759South Korea

Snow cover plays an important role in meteorological and hydrological ***,the accuracies of currently available snow cover products are significantly lower in mountainous areas than in plains,due to the serious snow/cloud confusion problem caused by high altitude and complex *** at this problem,an improved snow cover mapping approach for mountainous areas was proposed and applied in Qinghai-Tibetan *** this work,a deep learning framework named Stacked Denoising Auto-Encoders(SDAE)was employed to fuse the MODIS multispectral images and various geographic datasets,which are then classified into three categories:Snow,cloud and snow-free ***,two independent SDAE models were trained for snow mapping in snow and snow-free seasons respectively in response to the seasonal variations of meteorological *** proposed approach was verified using in-situ snow depth records,and compared to the most widely used snow products MOD10A1 and *** comparison results show that our method got the best performance:Overall accuracy of 98.95%and F-measure of 73.84%.The results indicated that our method can effectively improve the snow recognition accuracy,and it can be further extended to other multi-source remote sensing image classification issues.

关键词： Snow cover remote sensing deep learning Qinghai-Tibetan Plateau MODIS L1B

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基于姿态估计的人体异常行为识别算法

北京工业大学学报 2022年第7期48卷 710-720页

作者：李建更谢海征北京工业大学信息学部北京100124

为了及时、准确地检测视频监控下人体异常行为的发生,提出一种基于姿态估计的人体异常行为识别算法.该算法首先利用基于深度学习的人体姿态估计算法提取人体的骨骼关键点坐标,组成包含空间信息和时间序列信息的时空图模型,模型中每个节... 详细信息

为了及时、准确地检测视频监控下人体异常行为的发生,提出一种基于姿态估计的人体异常行为识别算法.该算法首先利用基于深度学习的人体姿态估计算法提取人体的骨骼关键点坐标,组成包含空间信息和时间序列信息的时空图模型,模型中每个节点对应于人体的一个关节,同时包含2种类型的边,一种是符合人体关节自然连通性的空间边,另一种是跨越连续时间的时序边;然后,对时空图进行多阶段的时空图卷积操作,提取高级特征;最后,用Softmax分类器进行行为分类,得到行为结果并判断是否为异常行为.在KTH单人数据集和HMDB51多人交互数据集上进行对比实验,与当前先进的方法相比,在准确率方面取得了较好的结果.对实时视频进行测试,实时检测识别帧率达到25帧/s,可实现实时处理监控视频.

关键词：人体异常行为人体姿态估计深度学习时空图模型时空图卷积网络实时检测识别

赵建更主任医师基于肝脾同调理论应用柴平汤治疗慢性胆囊炎的经验

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光明中医 2023年第9期38卷 1670-1673页

作者：邓博文李峥李媛赵建更山西中医药大学山西太原030024 山西中医药大学附属医院外科山西太原030024

慢性胆囊炎是外科常见疾病,属中医“胆胀、胁痛、胆瘅”的范畴,病位在胆,与肝脾密切相关,赵建更主任医师基于肝脾同调理论,临床中选用柴平汤以治疗慢性胆囊炎。柴平汤能疏肝健脾,培土达木,使气机调畅,肝脾相和,临床中颇有疗效。笔者有... 详细信息

慢性胆囊炎是外科常见疾病,属中医“胆胀、胁痛、胆瘅”的范畴,病位在胆,与肝脾密切相关,赵建更主任医师基于肝脾同调理论,临床中选用柴平汤以治疗慢性胆囊炎。柴平汤能疏肝健脾,培土达木,使气机调畅,肝脾相和,临床中颇有疗效。笔者有幸跟随学习,获益匪浅,故通过此文探讨柴平汤“肝脾同调”理论治疗慢性胆囊炎的机制和应用,为临床治疗慢性胆囊炎提供一些思路。

关键词：胆瘅柴平汤慢性胆囊炎肝脾同调赵建更名医经验