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集成卷积神经网络和视觉Transformer的隧道掌子面岩性判识研究

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隧道建设（中英文） 2024年第5期44卷 1056-1067,I0078-I0089页

作者：向露露童建军王明年苗兴旺叶沛西南交通大学交通隧道工程教育部重点实验室四川成都610031 西南交通大学土木工程学院四川成都610031

为研究综合高效的隧道掌子面岩性智能分类方法,首先,通过收集高铁沿线施工隧道高清掌子面照片、地质素描图及工程地质说明,筛选并统计出灰岩、泥岩、砂岩、玄武岩4种岩性,在此基础上,采用图像增强扩充样本数量并构建岩性样本集;然后,基... 详细信息

为研究综合高效的隧道掌子面岩性智能分类方法,首先,通过收集高铁沿线施工隧道高清掌子面照片、地质素描图及工程地质说明,筛选并统计出灰岩、泥岩、砂岩、玄武岩4种岩性,在此基础上,采用图像增强扩充样本数量并构建岩性样本集;然后,基于上述样本集分别构建ResNet50V2岩性分类迁移模型及VIT岩性分类模型,对比二者岩性分类效果,并采用Stacking方法集成2种模型的分类特点;最后,通过对比3种元学习器(逻辑回归、支持向量机、决策树)对2种模型的集成融合效果来选取最适用的元学习器。结果表明:采用逻辑回归集成ResNet50V2及VIT所构建的集成模型对岩性的分类效果最好,能充分融合掌子面岩性的全、局部特征来进行分类,模型准确率达到93.8%。

关键词：隧道掌子面岩性卷积神经网络视觉Transformer 集成学习 Stacking方法

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课程思政的“术”“学”“道”及其关系分析

社会主义核心价值观研究 2024年第2期10卷 90-100页

作者：童建军韦晓英中山大学马克思主义学院

课程思政要取得立德树人的教育效果,离不开从理论上并在实践中深刻把握“术”“学”“道”的科学内涵及其辩证关系。“术”是指各类各门课程中思政元素的深度挖掘之“技术”、有机融入之“艺术”和动态发展之“战术”;“学”是指专业课... 详细信息

课程思政要取得立德树人的教育效果,离不开从理论上并在实践中深刻把握“术”“学”“道”的科学内涵及其辩证关系。“术”是指各类各门课程中思政元素的深度挖掘之“技术”、有机融入之“艺术”和动态发展之“战术”;“学”是指专业课程教学的学术性、价值引领的学理性和课程育人的学科性;“道”是指教师“明道”“信道”和“传道”。在课程思政中,既要善用“术”,也要保证“学”,更要契合“道”,并在实现“术”“学”“道”三者互构、互补、互彰的基础上,以术弘道、以学讲道、以道御术统学,从而实现课程思政与思政课程协同育人目标。

关键词：课程思政立德树人术学道

Interface bond degradation and damage characteristics of full-length grouted rock bolt in tunnels with high temperature

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第10期15卷 2639-2657页

作者： Yunpeng Hu Mingming Zheng Wenkai Feng jianjun tong Yicheng Wang Qiling Wang Kan Liu Longzhen Ye State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu610059China Key Laboratory of Geohazard Prevention of Hilly Mountains Ministry of Land and Resources(Fujian Key Laboratory of Geohazard Prevention)Fuzhou350116China School of Civil Engineering Southwest Jiaotong UniversityChengdu610031China College of Civil Engineering Tongji UniversityShanghai200092China

Full-length grouted bolts play a crucial role in geotechnical engineering thanks to their excellent ***,few studies have been concerned with the degrading performance of grouted rock bolts caused by extensive and continuous heat conduction from surrounding rocks in high-geothermal tunnels buried more than 100 m(temperature from 28C to 100C).To investigate the damage mechanism,we examined the time-varying behaviors of grouted rock bolts in both constant and variable temperature curing environments and their damage due to the coupling effects of high temperature and humidity through mechanical and micro-feature tests,including uniaxial compression test,pull-out test,computed tomography(CT)scans,X-ray diffraction(XRD)test,thermogravimetric analysis(TGA),etc.,and further analyzed the relationship between grout properties and anchorage *** order to facilitate a rapid assessment and control of the anchorage performance of anchors in different conditions,results of the interface bond degradation tests were correlated to environment parameters based on the damage model of interfacial bond stress ***,a thermal hazard classification criterion for anchorage design in high-geothermal tunnels was *** on the reported results,although high temperature accelerated the early-stage hydration reaction of grouting materials,it affected the distribution and quantity of hydration products by inhibiting hydration degree,thus causing mechanical damage to the anchorage *** was a significant positive correlation between the strength of the grouting material and the anchoring *** by the changes in grout properties,three failure patterns of rock bolts typically *** a hot-wet curing regime results in less reduction in anchorage force compared to the hot-dry curing *** findings of this study would contribute to the design and investigations of grouted rock bolts in high-geothermal tunnels.

关键词： High-geothermal tunnels Anchoring structure Coupling effect of temperature and humidity Bond degradation Interfacial damage mechanism

面向高清视频存储的无编解码快速降帧压缩方法

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计算机应用 2023年第S2期43卷 176-181页

作者：童剑军科大讯飞股份有限公司合肥230031

针对当前大规模高清(HD)视频监控系统存在的存储成本过高,只能设置7~30 d的历史视频存储时长,导致监控系统历史视频使用价值低的问题,提出一种面向高清视频存储的无编解码快速降帧压缩方法,名为“A-Jump”。首先,将准备进行前向参考编码... 详细信息

针对当前大规模高清(HD)视频监控系统存在的存储成本过高,只能设置7~30 d的历史视频存储时长,导致监控系统历史视频使用价值低的问题,提出一种面向高清视频存储的无编解码快速降帧压缩方法,名为“A-Jump”。首先,将准备进行前向参考编码的P帧分组分层;然后,定义了不同P帧所参考编码的特定前续P帧位置;最后,通过“定位-删除-重组合”的手段实现视频的快速降帧,规避了计算量非常大的“解码-抽帧-重编码”过程。数据对比分析表明,所提方法的“快速降帧存储方案”相较于全帧率存储方案,可以在相同的存储时长情况下节省70%的视频存储空间,在相同的存储空间情况下视频存储时长可达原来的329%;相较于“超级压缩方案”,在运算服务器方面仅需要27%的投入成本;相较于其他基于“解码-抽帧-重编码”方式的“降帧存储方案”,在运算服务器方面投入成本仅占23.5%。实验结果表明,所提方法可以低成本地节省历史视频存储空间,增加视频存储时长,提升监控系统使用价值。

关键词：高清视频监控系统存储无编解码降帧压缩

Convex decomposition of concave clouds for the ultra-short-term power prediction of distributed photovoltaic system

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High Technology Letters 2016年第3期22卷 305-312页

作者：蔡世波 tong jianjun Bao Guanjun Pan Guobing Zhang Libin Xu Fang Key Laboratory of E&M(Zhejiang University of Technology) Ministry of Education & Zhejiang Province

Concave clouds will cause miscalculation by the power prediction model based on cloud features for distributed photovoltaic( PV) plant. The algorithm for decomposing concave cloud into convex images is proposed. Adopting minimum polygonal approximation( MPP) to demonstrate the contour of concave cloud,cloud features are described and the subdivision lines of convex decomposition for the concave clouds are determined by the centroid point scattering model and centroid angle function,which realizes the convex decomposition of concave cloud. The result of MATLAB simulation indicates that the proposed algorithm can accurately detect cloud contour corners and recognize the concave points. The proposed decomposition algorithm has advantages of less time complexity and decomposition part numbers compared to traditional algorithms. So the established model can make the convex decomposition of complex concave clouds completely and quickly,which is available for the existing prediction algorithm for the ultra-short-term power output of distributed PV system based on the cloud features.

关键词： distributed photovoltaic(PV) system cloud features model centroid point scattering model convex decomposition

Single transmembrane GPCR modulating proteins:neither single nor simple

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Protein & Cell 2024年第6期15卷 395-402页

作者： Meng Wang jianjun Lyu Chao Zhang Department of Plastic and Reconstructive Surgery Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China Hubei Topgene Research Institute of Hubei Topgene Biotechnology Co. LtdEast Lake High-Tech Development ZoneWuhan 430205China Fundamental Research Center Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)Tongji UniversityShanghai 200092China

The discovery of G-protein coupled receptor(GPCR)accessory proteins has fundamentally redefined the pharmacological concept of GPCR signaling,demonstrating a more complex molecular basis for receptor specificity on the plasma membrane and impressionable downstream intracellular *** accessory proteins not only contribute to the proper folding and trafficking of receptors but also exhibit selectable receptor preferences.

关键词： specificity GPCR neither

Intelligent classification model of surrounding rock of tunnel using drilling and blasting method

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Underground Space 2021年第5期6卷 539-550页

作者： Mingnian Wang Siguang Zhao jianjun tong Zhilong Wang Meng Yao Jiawang Li Wenhao Yi Key Laboratory of Transportation Tunnel Engineering Ministry of EducationSouthwest Jiaotong UniversityChengdu 610031China School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China

Classification of surrounding rock is the cornerstone of tunnel design and *** traditional methods are mainly qualitative and manual and require extensive professional knowledge and engineering *** minimize the effect of the empirical judgment on the accuracy of surrounding rock classification,it is necessary to reduce human *** intelligent classification technique based on information technology and artificial intelligence could overcome these *** this regard,using 299 groups of drilling parameters collected automatically using intelligent drill jumbos in tunnels for the Zhengzhou-Wanzhou high-speed railway in China,an intelligent-classification surrounding-rock database is constructed in this *** on a machine learning algorithm,an intelligent classification model is then developed,which has an overall accuracy of 91.9%.Finally,using the core of the model,the intelligent classification system for the surrounding rock of drilled and blasted tunnels is integrated,and the system is carried by intelligent jumbos to perform automatic recording and transmission of drilling parameters and intelligent classification of the surrounding *** approach provides a foundation for the dynamic design and construction(both conventional and intelligent)of tunnels.

关键词： Drilled and blasted tunnel Drilling parameter Machine learning Intelligent classification Surrounding rock

实践智慧:中国化时代化的马克思主义行的伦理思考

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长白学刊 2023年第6期 1-8页

作者：童建军中山大学马克思主义学院广东广州510275

实践智慧是东西方自古以来就备受推崇的重要道德品质。它既关系到审慎思考善生活,又关系到实现善的手段,同时,它不是轻易可获得的道德品质。实践证明,中国共产党为什么能,中国特色社会主义为什么好,归根到底是马克思主义行,是中国化时... 详细信息

实践智慧是东西方自古以来就备受推崇的重要道德品质。它既关系到审慎思考善生活,又关系到实现善的手段,同时,它不是轻易可获得的道德品质。实践证明,中国共产党为什么能,中国特色社会主义为什么好,归根到底是马克思主义行,是中国化时代化的马克思主义行。中国化时代化的马克思主义之所以行,从伦理上来说,在于它拥有实践智慧的品格,既始终遵循着马克思主义的基本原理,深刻地把握住了实现中华民族伟大复兴的根本,又与时俱进地在革命、建设和改革的不同历史时期找到了实现善的手段。新时代的中国共产党开辟马克思主义中国化时代化新境界,以中国式现代化实现中华民族伟大复兴,离不开实践智慧,要围绕中心任务,因时而变,因势而动,顺势而为,不断书写当代中国马克思主义、21世纪马克思主义的新篇章。

关键词：中国共产党马克思主义中国化时代化实践智慧

Heterogeneity identification method for surrounding rock of large-section rock tunnel faces based on support vector machine

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Railway Sciences 2023年第1期2卷 48-67页

作者： Wenhao Yi Mingnian Wang jianjun tong Siguang Zhao Jiawang Li Dengbin Gui Xiao Zhang Southwest Jiaotong University ChengduChina

Purpose–The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed ***/methodology/approach–Relying on the support vector machine(SVM)-based classification model,the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face,and the identification calculation was carried out for the five test ***,the suggestions for local optimization of the support structures of large-section rock tunnels were put ***–The results show that compared with the two classification models based on neural networks,the SVM-based classification model has a higher classification accuracy when the sample size is small,and the average accuracy can reach 87.9%.After the samples are replaced,the SVM-based classification model can still reach the same accuracy,whose generalization ability is ***/value–By applying the identification method described in this paper,the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified,and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting,and can provide a basis for local optimization of support parameters.

关键词： Rock tunnel Surrounding rock Heterogeneity Support vector machine High-speed railway