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Stability influence factors analysis and construction of a deep beam anchorage structure in roadway roof

International Journal of Mining Science and Technology 2018年第3期28卷 445-451页

作者： Xie Shengrong Gao Mingming Chen Dongdong Sun Yanding pan Hao Su Hai Lan shizhong Faculty of Resource and Safety Engineering China University of Mining and Technology Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources China University of Mining and Technology School of Mechanics and Civil Engineering China University of Mining and Technology Yuwu Coal Industry Group Co.Ltd. Shanxi Luan Mining Group

Deep beam anchorage structures based on spatial distribution analysis of the cable prestressed field have been proposed for roadway roof support, Stability and other factors that influence deep beam structures are studied in this paper using mechanical calculations, numerical analysis and field measurements, A mechanical model of deep beam structure subjected to multiple loading is established, including analysis of roof support in the return airway of S1203 working face in the Yuwu coal mine, China, The expression of maximum shear stress in the deep beam structure is deduced according to the stress superposition criterion, It is found that the primary factors affecting deep beam structure stability are deep beam thickness, cable pre-tension and cable spacing, The variation of maximum shear stress distribution and prestressed field diffusion effects according to various factors are analyzed using Matlah and FLAC3DTM software, and practical support parameters of the S1203 return airway roof are determined, According to the observations of rock pressure, there is no evidence of roof separation, and the maximum values of roof subsidence and convergence of wall rock are 72 and 48 mm, respectively, The results show that the proposed roof support design with a deep beam structure is feasible and achieves effective control of the roadway roof,

关键词： Support structure Deep beam Maximum shear stress Influencing factors Stability control Roadway roof

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基于自适应加速前向后向匹配追踪的压缩感知重构算法

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通信学报 2020年第1期41卷 25-32页

作者：潘作舟孟宗李晶石颖燕山大学电气工程学院

针对传统前向后向匹配追踪(FBP)算法运行时间较长的问题,提出了一种自适应加速前向后向匹配追踪(AAFBP)算法。AAFBP算法的重构过程可分为2个阶段,在前向阶段利用自适应阈值来选取适量原子加入支撑集,在后向回溯过程中以原子的投影系数... 详细信息

针对传统前向后向匹配追踪(FBP)算法运行时间较长的问题,提出了一种自适应加速前向后向匹配追踪(AAFBP)算法。AAFBP算法的重构过程可分为2个阶段,在前向阶段利用自适应阈值来选取适量原子加入支撑集,在后向回溯过程中以原子的投影系数大小作为删除依据,利用自适应删除阈值来进行原子的删除,同时克服了自适应过程中存在的回溯过度现象。所提方法能够保证选入原子数量更具随机性,使每次迭代保留更多的正确原子。一维稀疏信号和二维图像的仿真结果表明,AAFBP算法在重构精度和运算时间上都更具有优势。

关键词：压缩感知匹配追踪前向后向搜索自适应阈值信号重构

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Unidirectional plasmonic Bragg reflector based on longitudinally asymmetric nanostructures

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Chinese Physics B 2019年第7期28卷 269-272页

作者： Mingsong Chen Lulu pan Yuanfu Lu Guangyuan Li School of Information and Communication Guilin University of Electronic Technology Guilin 541004 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

Plasmonic Bragg reflectors are essential components in plasmonic *** we propose a novel type of plasmonic Bragg reflector, which has very high reflectance for the right-side incidence and meanwhile has extremely large absorption for the left-side *** device is composed of longitudinally asymmetric nanostructures in a metal–insulator–metal *** order to efficiently analyze, design, and optimize the reflection and transmission characteristics of the proposed device, we develop a semi-analytic coupled-mode *** show that the reflectance extinction ratio between plasmonic modes incident from the right-side and the left-side reaches 11 *** expect this device with such striking unidirectional reflection performance can be used as insulators in nanoplasmonic circuits.

关键词： plasmonic devices Bragg reflectors unidirectional reflection asymmetric nanostructures

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STAT-3 correlates with lymph node metastasis and cell survival in gastric cancer

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World Journal of Gastroenterology 2010年第42期16卷 5380-5387页

作者： Jing-Yu Deng Xiang-Yu Liu Han Liang Dan Sun Yi pan Depar tment of Gastric Oncology Division Tianjin Medical University Cancer Hospital and City Key Laboratory of Tianjin Cance r CenterTianjin 300060China Lung Cancer Institute Tianjin Medical University GeneralHospitalTianjin 300060China Department of Pathology Tianjin Medical Unive rsityCancer HospitalTianjin 300060China

AIM:To investigate the correlation between gastric cancer growth and signal transducer and activator of transcription-3(STAT3) ***:We assessed the expressions of STAT3,phosphor-STAT3(pSTAT3),suppressor of cytokine signaling-1(SOCS-1),survivin and Bcl-2 in gastric cancer patients after gastrectomy by immunohistochemical *** addition,in situ hybridization was used to further demonstrate the mRNA expression of STAT3 in gastric ***:With the univariate analysis,expressions of STAT3,pSTAT3,SOCS-1,survivin and Bcl-2,the size of primary tumor and the lymph node metastasis were found to be associated with the overall survival(OS) of gastric cancer ***,only pSTAT3 expression and the lymph node metastasis were identified as the independent factors of OS of gastric cancer with multivariate ***3 expression was correlated with the lymph node *** were positive correlations between expressions of STAT3,survivin,Bcl-2 and pSTAT3 in gastric cancer,whereas there was negative correlation between STAT3 expression and SOCS-1 expression in gastric ***:STAT3 can transform into pSTAT3 to promote the survival and inhibit the apoptosis of gastric cancer ***-1 might be the valid molecular antagonist to inhibit the STAT3 expression in gastric cancer.

关键词： Gastric cancer Signal transducer and activator of transcription-3 Lymph node metastasis Apoptosis Survival analysis

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An Improved Deep Fusion CNN for Image Recognition

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Computers, Materials & Continua 2020年第11期65卷 1691-1706页

作者： Rongyu Chen Lili pan Cong Li Yan Zhou Aibin Chen Eric Beckman College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China China Chaplin School of Hospitality of Hospitality and Tourism Management Florida International UniversityNorth Miami33181USA

With the development of Deep Convolutional Neural Networks(DCNNs),the extracted features for image recognition tasks have shifted from low-level features to the high-level semantic features of *** studies have shown that the deeper the network is,the more abstract the features ***,the recognition ability of deep features would be limited by insufficient training *** address this problem,this paper derives an improved Deep Fusion Convolutional Neural Network(DF-Net)which can make full use of the differences and complementarities during network learning and enhance feature expression under the condition of limited ***,DF-Net organizes two identical subnets to extract features from the input image in parallel,and then a well-designed fusion module is introduced to the deep layer of DF-Net to fuse the subnet’s features in ***,the more complex mappings are created and the more abundant and accurate fusion features can be extracted to improve recognition ***,a corresponding training strategy is also proposed to speed up the convergence and reduce the computation overhead of network ***,DF-Nets based on the well-known ResNet,DenseNet and MobileNetV2 are evaluated on CIFAR100,Stanford Dogs,and *** analysis and experimental results strongly demonstrate that DF-Net enhances the performance of DCNNs and increases the accuracy of image recognition.

关键词： Deep convolutional neural networks deep features image recognition deep fusion feature fusion.

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Chemical kinetics study of hydrocarbon regeneration from organic matter in carbonate source rocks and its significance

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Science China Earth Sciences 2007年第4期50卷 536-543页

作者： LU ShuangFang ZHONG NingNing XUE HaiTao pan ChangChun LI JiJun LI HongTao Daqing Petroleum Institute Daqing 163318China China University of Petroleum Beijing 102249China Guangzhou Institute of Geochemistry Chinese Academy of SciencesGuangzhou 510640China

In the comparison research of hydrocarbon regeneration, a low maturity carbonate source rock is heated to different temperatures in a gold tube to obtain a series of samples with different maturities. Then, the heated samples, before and after extraction, are subjected to Rock-Eval pyrolysis through a thermal simulation of hydrocarbon regeneration in order to inspect pyrolysis characteristics and probe into the characteristics of the chemical kinetics of each sample. The results indicate that, whether hy- drocarbon regeneration peak is delayed or advanced, the potential of hydrocarbon regeneration is closely related to the expulsion amount and breakdown maturity of primary hydrocarbon generation. After extraction, the average activation energy of artificially maturated samples increases with the in- creasing maturity, but the chemical kinetic properties of un-extracted samples decrease. The calibrated chemical kinetic models that describe extracted and un-extracted samples are applied to the Bohai Bay and the Songliao Basin, and the results indicate that the combination of the two models can explain some contradictory conclusions previously reported. These results also facilitate the quantitative evaluation of the amount of hydrocarbon regeneration by the chemical kinetic method.

关键词： carbonate hydrocarbon regeneration chemical kinetics thermal simulation quantitative evaluation of hydrocarbon regeneration

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A passive wireless surface acoustic wave(SAW)sensor system for detecting warfare agents based on fluoroalcohol polysiloxane film

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Microsystems & Nanoengineering 2024年第1期10卷 67-78页

作者： Yong pan Cancan Yan Xu Gao Junchao Yang Tengxiao Guo Lin Zhang Wen Wang State Key Laboratory of NBC Protection for Civil Beijing 102205China Institute of Acoustics Chinese Academy of SciencesBeijing 100190China The School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China

Long-term monitoring of environmental warfare agengts is a challenge for chemical gas *** address this issue,we developed a 433 MHz passive wireless surface acoustic wave(WSAW)gas sensor for dimethyl methylphosphonate(DMMP)*** WSAW gas sensor includes a YZ lithium niobate(LiNbO_(3))substrate with metallic interdigital transducers(IDTs)etched on it,and an antenna was placed near the IDT.A DMMP-sensitive viscoelastic polymer fluoroalcoholpolysiloxane(SXFA)film was prepared on a LiNbO_(3) substrate,and mode modeling coupling was used to optimize the design *** sensor can function properly in an environments between−30℃ and 100℃ with humidity less than 60%*** the wireless transmission distance was within the range of 0-90 cm,the sensor noise increased with distance,and the stability was less than 32°/*** optimizing the film thickness of SXFA,a relationship was observed between sensor sensitivity and film *** the film thickness of SXFA reached 450 nm,the optimal value was *** a distance of 20 cm between the transmitting and receiving antennas,DMMP was detected at different concentrations with the developed WSAW gas *** lower detection limit of DMMP was 0.48 mg/m^(3),the sensitivity of the sensor was 4.63°/(mg/m^(3)),and repeatable performance of the sensor was confirmed.

关键词： film alcohol passive

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Comparison of two great Chile tsunamis in 1960 and 2010 using numerical simulation

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Earthquake Science 2011年第5期24卷 475-483页

作者： Ruizhi Wen Yefei Ren Xiaojun Li Rong pan Institute of Engineering Mechanics China Earthquake Administration Harbin 150080 China Institute of Geophysics China Earthquake Administration Beijing 100081 China Nuclear and Radiation Safety Center Ministry of Environmental Protection Beijing 100082 China

Great differences in hazard and losses were shown from two tsunamis, both generated in Chile, one in 1960 and the other in 2010. Numerical simulation was applied to the tsunami analysis. The fault dislocation of the seafioor was assumed to equal to the initial tsunami wave field, which can be calculated by the formula of fault dislocation in the elastic isotropic half-space. The linear long wave theory was used as the tsunami hydrodynamic model, and the finite difference method and leap-frog scheme were selected for solving the equations. The accuracy of the simulated results was verified by the observed data in five tide gauges. By means of two scenario tsunamis, the analytical results show that the earthquake magnitude, bathymetry in rupture zone and rapid release of warning information in 2010 tsunami are the main explanations of the aforementioned great difference.

关键词： Chile earthquake tsunami numerical simulation

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采用迭代方法设计具有再生再利用/循环的单杂质用水系统

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化工学报 2011年第5期62卷 1339-1344页

作者：潘春晖时静刘智勇河北工业大学化工学院天津300130 沧州师范学院化学系河北沧州061001

具有再生再利用/循环利用的水网络与只有再利用的水网络不同之处在于前者增加了再生水流。如能确定再生水流的浓度和流量并将之加到只考虑再利用的水网络中,即可构成具有再生再利用/循环利用的水网络。在上述思想基础上提出一种迭代法... 详细信息

具有再生再利用/循环利用的水网络与只有再利用的水网络不同之处在于前者增加了再生水流。如能确定再生水流的浓度和流量并将之加到只考虑再利用的水网络中,即可构成具有再生再利用/循环利用的水网络。在上述思想基础上提出一种迭代法设计具有再生再利用/循环利用的水网络。该方法既可以解决给定移除率(removal ratio,RR)问题,又可以解决固定再生浓度问题。对RR问题,根据水网络及再生过程的特点估算出初始再生水流浓度,再生水流的量待定。将所得再生水流加到只考虑再利用的网络中构成具有再生过程的水网络。设计上述水网络,可以得出新的再生水流的量及浓度。当相邻两次再生浓度之差小于给定值时迭代结束。对RR问题,通常只需几次迭代即可得出最终设计;对于固定再生浓度问题,只需一次迭代即可得出最终设计。设计中考虑了影响水网络设计总费用的新鲜水用量、再生水用量和杂质再生负荷3个主要参数。对文献中几个实例的研究表明,本文方法得到的设计与文献中的设计相当,而设计步骤比文献中的简单。

关键词：用水网络再生再利用/循环迭代设计废水最小排放

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融合句嵌入的VAACGAN多对多语音转换

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北京航空航天大学学报 2021年第3期47卷 500-508页

作者：李燕萍曹盼石杨张燕南京邮电大学通信与信息工程学院南京210003 金陵科技学院软件工程学院南京211169

针对非平行文本条件下语音转换质量不理想、说话人个性相似度不高的问题,提出一种融合句嵌入的变分自编码辅助分类器生成对抗网络(VAACGAN)语音转换方法,在非平行文本条件下,有效实现了高质量的多对多语音转换。辅助分类器生成对抗网络... 详细信息

针对非平行文本条件下语音转换质量不理想、说话人个性相似度不高的问题,提出一种融合句嵌入的变分自编码辅助分类器生成对抗网络(VAACGAN)语音转换方法,在非平行文本条件下,有效实现了高质量的多对多语音转换。辅助分类器生成对抗网络的鉴别器中包含辅助解码器网络,能够在预测频谱特征真假的同时输出训练数据所属的说话人类别,使得生成对抗网络的训练更为稳定且加快其收敛速度。通过训练文本编码器获得句嵌入,将其作为一种语义内容约束融合到模型中,利用句嵌入包含的语义信息增强隐变量表征语音内容的能力,解决隐变量存在的过度正则化效应的问题,有效改善语音合成质量。实验结果表明:所提方法的转换语音平均MCD值较基准模型降低6.67%,平均MOS值提升8.33%,平均ABX值提升11.56%,证明该方法在语音音质和说话人个性相似度方面均有显著提升,实现了高质量的语音转换。

关键词：语音转换句嵌入文本编码器辅助分类器生成对抗网络(ACGAN) 变分自编码器非平行文本多对多

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