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| 1 | Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations显示文摘Soil visible-near infrared diffuse reflectance spectroscopy(vis-NIR DRS)has become an important area of research in the fields of remote and proximal soil sensing.The technique is considered to be particularly useful for acquiring data for soil digital mapping,precision agriculture and soil survey.In this study,1581 soil samples were collected from 14 provinces in China,including Tibet,Xinjiang,Heilongjiang,and Hainan.The samples represent 16 soil groups of the Genetic Soil Classification of China.After air-drying and sieving,the diffuse reflectance spectra of the samples were measured under laboratory conditions in the range between 350 and 2500 nm using a portable vis-NIR spectrometer.All the soil spectra were smoothed using the Savitzky-Golay method with first derivatives before performing multivariate data analyses.The spectra were compressed using principal components analysis and the fuzzy k-means method was used to calculate the optimal soil spectral classification.The scores of the principal component analyses were classified into five clusters that describe the mineral and organic composition of the soils.The results on the classification of the spectra are comparable to the results of other similar research.Spectroscopic predictions of soil organic matter concentrations used a combination of the soil spectral classification with multivariate calibration using partial least squares regression(PLSR).This combination significantly improved the predictions of soil organic matter(R2=0.899;RPD=3.158)compared with using PLSR alone(R2=0.697;RPD=1.817). | SHI Zhou WANG QianLong PENG Jie JI WenJun LIU HuanJun LI Xi Raphael A VISCARRA ROSSEL | 2014 | Science China Earth Sciences2014，57，7： | 32 |
| 2 | Flexible and transparent graphene/silver-nanowires composite ?lm for high electromagnetic interference shielding effectiveness显示文摘Herein, an efficient approach to prepare flexible, transparent, and lightweight films based on graphene nanosheets(GNS) and silver nanowires(AgNWs) for high electromagnetic interference(EMI) shielding effectiveness(SE) has been explained. High-conductive GNS were fabricated by liquid phase stripping and composited with AgNWs by a two-step spin-coating method. Owing to the high transparency, good conductivity, and homogeneous distribution of both GNS and AgNWs, the obtained GNS/AgNWs film exhibits superb EMI SE and light transmittance, yielding a significantly high EMI SE up to 26 dB in both Ku-band and K-band and light transmittance higher than 78.4%. Moreover, this GNS/AgNWs film shows good flexibility and excellent structural stability. The obtained flexible, light and transparent film could have a great potential for transparent EMI shielding and smart electronics. | Ning Zhang Zhe Wang Rongguo Song Qianlong Wang Hongye Chen Bin Zhang Haifei Lv Zhi Wu Daping He | 2019 | Science Bulletin2019，64，8： | 12 |
| 3 | Highly sensitive wearable sensor based on a flexible multi-layer graphene film antenna显示文摘The use of advanced carbon nanomaterials for flexible antenna sensors has attracted great attention due to their outstanding electromechanical properties. However, carbon nanomaterial based composites have yet to overcome drawbacks, such as low conductivity and toughness. In this work, a flexible multi-layer graphene film(FGF) with a high conductivity of 10~6 S/m for antenna based wearable sensors is investigated. A 1.63 GHz FGF antenna sensor exhibits significantly high strain sensitivity of 9.8 for compressive bending and 9.36 for tensile bending, which is super than the copper antenna sensor(5.39 for compressive bending and 4.05 for tensile bending). Moreover, the FGF antenna sensor shows very good mechanical flexibility, reversible deformability and structure stability, and thus is well suited for applications like wearable devices and wireless strain sensing. | Danli Tang Qianlong Wang Zhe Wang Quantao Liu Bin Zhang Daping He Zhi Wu Shichun Mu | 2018 | Science Bulletin2018，63，9： | 7 |
| 4 | Auxiliary transportation mode in a fully-mechanized face in a nearly horizontal thin coal seam显示文摘On fully-mechanized faces in nearly horizontal thin coal seams(NHTCS), the selection of the auxiliary transportation mode is difficult. Generally, auxiliary transportation mainly includes trackless or rail transportation. Combined with a familiar NHTCS fully-mechanized face, a multi-attribute decisionmaking model was set up for the decision. The index weight was objectively determined with the fuzzy number and entropy method. The priority order of auxiliary transportation modes was obtained from the Preference Ranking Organization Method for Enrichment Evaluation(PROMETHEE). The results show that: the net flow of the mode can be expressed by the function of the surrounding rock deformation of the roadway, the dimension of equipment and the thickness of the coal seam; Based on the cost type index, there is a positive correlation between the net flow with the height and width of the trackless auxiliary transportation equipment, respectively. The trackless auxiliary transportation equipment selection principle should be ‘‘height first then width'. Combined with the field application of the trackless auxiliary transportation in Liangshuijing coal mine, the proper method to achieve the safe and high-efficient exploitation of a NHTCS fully-mechanized face is trackless tyred vehicle auxiliary transportation. | Wang Chen Tu Shihao Zhang Lei Yang Qianlong Tu Hongsheng | 2015 | International Journal of Mining Science and Technology2015，25，6： | 1 |
| 5 | Coronavirus Mask Protection Algorithm:A New Bio-inspired Optimization Algorithm and Its Applications显示文摘Nowadays,meta-heuristic algorithms are attracting widespread interest in solving high-dimensional nonlinear optimization problems.In this paper,a COVID-19 prevention-inspired bionic optimization algorithm,named Coronavirus Mask Protection Algorithm(CMPA),is proposed based on the virus transmission of COVID-19.The main inspiration for the CMPA originated from human self-protection behavior against COVID-19.In CMPA,the process of infection and immunity consists of three phases,including the infection stage,diffusion stage,and immune stage.Notably,wearing masks correctly and safe social distancing are two essential factors for humans to protect themselves,which are similar to the exploration and exploitation in optimization algorithms.This study simulates the self-protection behavior mathematically and offers an optimization algorithm.The performance of the proposed CMPA is evaluated and compared to other state-of-the-art metaheuristic optimizers using benchmark functions,CEC2020 suite problems,and three truss design problems.The statistical results demonstrate that the CMPA is more competitive among these state-of-the-art algorithms.Further,the CMPA is performed to identify the parameters of the main girder of a gantry crane.Results show that the mass and deflection of the main girder can be improved by 16.44%and 7.49%,respectively. | Yongliang Yuan Qianlong Shen Shuo Wang Jianji Ren Donghao Yang Qingkang Yang Junkai Fan Xiaokai Mu | 2023 | Journal of Bionic Engineering2023，20，4： | 0 |
| 6 | Full waveform inversion with spectral conjugategradient method显示文摘Spectral conjugate gradient method is an algorithm obtained by combination of spectral gradient method and conjugate gradient method,which is characterized with global convergence and simplicity of spectral gradient method,and small storage of conjugate gradient method.Besides,the spectral conjugate gradient method was proved that the search direction at each iteration is a descent direction of objective function even without relying on any line search method.Spectral conjugate gradient method is applied to full waveform inversion for numerical tests on Marmousi model.The authors give a comparison on numerical results obtained by steepest descent method,conjugate gradient method and spectral conjugate gradient method,which shows that the spectral conjugate gradient method is superior to the other two methods. | LIU Xiao LIU Mingchen SUN Hui WANG Qianlong | 2017 | Global Geology2017，20，1： | 0 |
| 7 | Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network显示文摘Based on the experimental ignition delay results of n-butane/hydrogen mixtures in a rapid compression machine,a Genetic Algorithm(GA)optimized Back Propagation(BP)neural network model is originally developed for ignition delay prediction.In the BP model,the activation function,learning rate and the neurons number in the hidden layer are optimized,respectively.The prediction ability of the BP model is validated in wide operating ranges,i.e.,compression pressures from 20 to 25 bar,compression temperatures from 722 to 987 K,equivalence ratios from 0.5 to 1.5 and molar ratios of hydrogen(X_(H2))from 0 to 75%.Compared with the BP model,the GA optimized BP model could increase the average correlation coefficient from 0.9745 to 0.9890,in the opposite,the average Mean Square Error(MSE)decreased from 2.21 to 1.06.On the other hand,to assess the BP-GA model prediction ability in the never-seen-before cases,a limited BP-GA model is fostered in the��X_(H2) range from 0 to 50%to predict the ignition delays at the cases of��X_(H2)=75%.It is found that the predicted ignition delays are underestimated due to the training dataset lacking of“acceleration feature”that happened at��X_(H2)=75%.However,three possible options are reported to improve the prediction accuracy in such never-seen-before cases. | Yanqing Cui Qianlong Wang Haifeng Liu Zunqing Zheng Hu Wang Zongyu Yue Mingfa Yao | 2020 | Energy and AI2020，2，2： | 0 |
| 8 | Research on ray tracing in VTI medium based on different models显示文摘The study on seismic anisotropy is one of the difficult problems in the field of geophysics nowadays.As a method of ray theory,the seismic anisotropy ray tracing is an important means to study the anisotropic seismic wave propagation. The traditional ray tracing system formulated in terms of elastic parameters in the anisotropy is more complicated than that in the isotropic case. Considering the difficulty,a kind of ray tracing system formulated in terms of phase velocity and group velocity is introduced. The new method is similar to the expressions for isotropic media,and avoids the trouble of determining the eigenvalue vector at each time. Besides the ray tracing numerical simulation of different models of vertical transversely isotropic( VTI) medium is carried out,in order to verify the accuracy and applicability of the method and further study the characteristics of wave field propagation in different VTI mediums. The study is certainly valuable in reference for later processing of the anisotropic seismic data. | JI Songda SUN Jianguo GAO Zhenghui SUN Hui WANG Qianlong HUANG Xinguo | 2015 | Global Geology2015，18，4： | 0 |
| 9 | Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models显示文摘A good understanding of the thermophysical properties of hydrocarbon fuels at supercritical pressure is important to research on experiment and numerical simulation of fuel supercritical spray.Experimental measurements are difficult to conduct directly because of the extremely high pressure and high temperature.In this study,back propagation(BP)neural network,BP optimized by mind evolution algorithm(MEA-BP)and BP neural network optimized by genetic algorithm(GA-BP)are established to determine the nonlinear temperature-dependent thermophysical properties of density,viscosity,and isobaric specific heat(C_(2))of hydrocarbon fuels at supercritical pressure.Meanwhile,approximate formulas for these properties prediction are primarily proposed using polynomial fitting.In this paper,models that can predict three types of physical properties of three kinds of hydrocarbon fuels and their mixtures in a wide temperature range under supercritical pressure are established.In the prediction of density and C_(2),BP neural network has a good prediction effect.The results show that the MAPE is lower than 2%in the prediction of density and C_(2),but the MAPE of viscosity prediction is slightly higher than 5%using BP.Furthermore,MEA and GA are used to optimize the prediction of viscosity.The optimization effect and computation of the MEA is better than that of GA because MEA does not have the local optimization and prematurity problems.The present work offers an efficient tool to predict the thermophysical properties of hydrocarbon fuels over a wide range of temperatures under supercritical pressure which can be easily extended to other fuels of interest.It will be beneficial to the experiment and numerical simulation studies of supercritical sprays. | MING ZhenYang LIU HaiFeng WANG QianLong YUE ZongYu CUI YanQing WEN MingSheng YAO MingFa | 2022 | Science China(Technological Sciences)2022，65，4： | 0 |
| 10 | The effect of ammonia on soot formation in ethylene diffusion flames显示文摘This paper originally investigates the effect of NH_(3) dilution on soot formation when NH_(3) is gradually added into the fuel stream in an ethylene laminar diffusion flame stabilized on a Santoro burner.The variations of flame diameter and two flame heights,i.e.,mixture-strength flame height and visible flame height are carefully documented and analyzed.Moreover,local soot volume fraction(SVF)and soot temperature fields are simultaneously measured by compact-modulated absorption and emission technique,and the corresponding measurement random errors are also provided by the error propagation calculations for the first time.All the reported measurement random errors of SVF and soot temperature fields are estimated within the range of±0.07–±0.08 ppm and±40–±91 K,respectively.As an original database,the concomitantly measured SVF and soot temperature distributions are provided as high-fidelity datasets for refining soot formation model that is overrode by NH_(3).In addition,the flame cross-section average SVF F_(soot)(z)is calculated for every NH_(3) diluted flame,and the relative contributions of NH_(3) dilution and chemical effect are quantitatively assessed in terms of F_(max)-X_(NH_(3))plotting.It is found that when X_(NH_(3))<30%,the chemical effect of ammonia is about twice that of the dilution effect.While X_(NH_(3))>30%,the chemical effect and dilution effect of ammonia are gradually equal.Eventually,through modeling of the soot formation rate V in the flames,the relative contributions of chemical effect,dilution effect and thermal effect of NH_(3)are further novelty discriminated within the X_(NH_(3))from 0 to 46%and it is shown that NH_(3) chemical effect plays the dominate role in soot suppression,then the dilution effect and the thermal one at the least. | WANG QianLong YAN ZhiWen LI ChaoMin CUI YanQing WEN MingSheng LIU HaiFeng YAO MingFa | 2023 | Science China(Technological Sciences)2023，66，12： | 0 |
| 11 | Genome-Wide Dissection of Quan 9311A Breeding Process and Application Advantages显示文摘Germplasm resource innovation is a crucial factor for cultivar development,particularly within the context of hybrid rice breeding based on the three-line system.Quan 9311A,a cytoplasmic male sterile(CMS)line,has been successfully cultivated using rice restoration materials and extensively employed as a female parent in hybrid breeding program in China.This line was developed by crossing the CMS line Zhong 9A with a two-line restorer line 93-11,with the intention of eliminating the restoring ability of 93-11 while retaining the sterility gene WA352c from Zhong 9A.Quan 9311A effectively amalgamates the most favorable agronomic traits from both parental lines.In this study,the relationship between phenotypic characteristics and the known functional genes of Quan 9311A were analyzed using the rice genome navigation technology based on whole-genome sequencing.The findings revealed that Quan 9311A harbors multiple superior alleles from both 93-11 and Zhong 9A,providing exceptional agronomic traits that are unavailable in earlier CMS lines.Despite the removal of the fertility restorer gene Rf3 from 93-11,numerous chromosomal segments from 93-11 persist in the Quan 9311A genome.Furthermore,the hybrid rice Quanyousimiao(QYSM)and the restorer line Wushansimiao(WSSM)were used as examples to illustrate the important role of Quan 9311A as the female parent in heterosis.It was found that QYSM carries a great number of superior alleles,which accounts for its high grain yield and wide adaptability.These insights not only advanced the utilization of hybrid rice pairing groups but also provided guidance for future breeding endeavors.The study introduced innovative concepts to further integrate genomics with traditional breeding techniques.Ultimately,Quan 9311A signified a significant milestone in rice breeding technology,opening up novel avenues for hybrid rice development. | LI Qianlong FENG Qi WANG Heqin KANG Yunhai ZHANG Conghe DU Ming ZHANG Yunhu WANG Hui CHEN Jinjie HAN Bin FANG Yu WANG Ahong | 2023 | Rice science2023，30，6： | 0 |
| 12 | A Method of Identifying Thunderstorm Clouds in Satellite Cloud Image Based on Clustering显示文摘In this paper,the clustering analysis is applied to the satellite image segmentation,and a cloud-based thunderstorm cloud recognition method is proposed in combination with the strong cloud computing power.The method firstly adopts the fuzzy C-means clustering(FCM)to obtain the satellite cloud image segmentation.Secondly,in the cloud image,we dispose the‘high-density connected’pixels in the same cloud clusters and the‘low-density connected’pixels in different cloud clusters.Therefore,we apply the DBSCAN algorithm to the cloud image obtained in the first step to realize cloud cluster knowledge.Finally,using the method of spectral threshold recognition and texture feature recognition in the steps of cloud clusters,thunderstorm cloud clusters are quickly and accurately identified.The experimental results show that cluster analysis has high research and application value in the segmentation processing of meteorological satellite cloud images. | Lili He Dantong Ouyang Meng Wang Hongtao Bai Qianlong Yang Yaqing Liu Yu Jiang | 2018 | Computers, Materials & Continua2018，，12： | 0 |
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