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中国化学会第28届学术年会

作者： Dong-Sheng Cao1 mao-mao zeng2 Jun Yan1 Jian-Hua Huang1 Qian-Nan Hu4 Qing-Song Xu3 Yi-zeng Liang*1 1Research center of modernization of traditional Chinese medicines Central South University Changsha 410083 P.R.China 2State Key Laboratory of Food Science and Technology School of Food Science and Technology Jiangnan Univesity Wuxi 214122 P.R.China 3School of Mathematical Sciences and Computing Technology Central South University Changsha 410083 P.R.China 4Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University) Ministry of Education and Wuhan University School of Pharmaceutical Sciences Wuhan 430071 P.R.China Research center of modernization of traditional Chinese medicines Central South UniversityChangsha 410083 P. R. China State Key Laboratory of Food Science and Technology School of Food Science and Technology Jiangnan Univesity Wuxi 214122 P.R.China Research center of modernization of traditional Chinese medicines Central South UniversityChangsha 410083 P.R. China Key Laboratory of Combinatorial Biosynthesis and Drug Discovery(Wuhan University)Ministry of Education and Wuhan University School of Pharmaceutical SciencesWuhan 430071 P.R.China School of Mathematical Sciences and Computing Technology Central South UniversityChangsha 410083 P.R.China

Large amounts of data from high-throughput metabolomics experiments become commonly more and more complex,which brings an enormous amount of challenges to existing statistical *** there is a need to develop statistically efficient approach for mining the underlying metabolite information contained by metabolomics data under *** the work,we developed a novel kernel Fisher discriminant analysis （KFDA） algorithm by constructing an informative kernel based on decision tree *** constructed kernel can effectively encode the similarities of metabolomics samples between informative metabolites/biomarkers in specific parts of the measurement ***,informative metabolites or potential biomarkers can be successfully discovered by variable importance ranking in the process of building ***,KFDA can also deal with nonlinear relationship in the metabolomics data by such a kernel to some ***,two real metabolomics datasets together with a simulated data were used to demonstrate the performance of the proposed approach through the comparison of different approaches.

关键词： metabolomics kernel methods Fisher discriminant analysis (FDA) biomarker discovery decision tree classification and regression tree (CART)

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High-precision deformation monitoring algorithm for GBSAR system: rail determination phase error compensation

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Science China(Information Sciences) 2016年第8期59卷 204-219页

作者： Cheng HU mao ZHU Tao zeng Weiming TIAN Cong mao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

In recent years, the repeat-pass GBSAR(ground based synthetic aperture radar) system has demonstrated its capacity to acquire deformation. Nevertheless, in a variety of applications, it needs to measure the deformation with the precision up to 0.1 mm, which could not be reached by utilizing the traditional PS(permanent scatterer) algorithm in most cases. Generally, one of the main reasons could be summarized into the phase error caused by the rail determination error, because the precision of rail determination might degrade during long working hours. However, the traditional PS algorithm could not compensate for the phase error caused by the rail determination error. In order to solve the problems, we modify the conventional PS ***, we deduced the transformation relationship between the rail determination error and its corresponding interferometric phase error. Then, the phase errors caused by the atmosphere and the rail determination error were jointly compensated. The experimental data, which were obtained in Fangshan District in Beijing(China), were used to test and verify the performance of the new algorithm. After the comparison between the results processed by the new algorithm and those processed by the traditional algorithm, the proposed method demonstrated its ability to obtain high-precision deformation.

关键词： permanent scatterer(PS) synthetic aperture radar(SAR) ground-based SAR deformation monitoring radar

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Forecasting complex group behavior via multiple plan recognition

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Frontiers of Computer Science 2012年第1期6卷 102-110页

作者： Xiaochen LI Wenji mao Daniel zeng State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Group behavior forecasting is an emergent re- search and application field in social computing. Most of the existing group behavior forecasting methods have heavily re- lied on structured data which is usually hard to obtain. To ease the heavy reliance on structured data, in this paper, we pro- pose a computational approach based on the recognition of multiple plans/intentions underlying group behavior. We fur- ther conduct human experiment to empirically evaluate the effectiveness of our proposed approach.

关键词： group behavior forecasting multiple planrecognition graph search

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Grating lobes suppression method for stepped frequency GB-SAR system

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Journal of Systems Engineering and Electronics 2014年第6期25卷 987-995页

作者： Tao zeng Cong mao Cheng Hu mao Zhu Weiming Tian Jingjing Ren School of Information and Electronics Beijing Institute of Technology China Academy of Space Technology (CAST)

A grating lobes suppression method for chirp-subpulse stepped frequency（CSSF） signals is proposed, which is applied to deformation monitoring using the ground based synthetic aperture radar（GB-SAR） system. This method is based on accurate estimation and correction of the phase and amplitude error along two dimensions（range and azimuth）, i.e., the error estimation inside the subpulse（in-subpulse error） and across the stepped frequency subpulses（cross-subpulse error） of transmitted CSSF signals. Validated both with simulated data and experimental data recorded in the deformation monitoring campaign, it can be seen that the method as well as the relative conclusions can be fully and effectively applied to most of the stepped frequency systems.

关键词： chirp-subpulse stepped frequency signal(CSSF) sup-pression of grating lobes ground based synthetic aperture radar differential interferometer SAR error analysis

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Interactions Between Surface Reactions and Gas-phase Reactions in Catalytic Combustion and Their Influence on Ignition of HCCI Engine

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Chemical Research in Chinese Universities 2006年第6期22卷 776-782页

作者： zeng Wen XIE mao-zhao JIA Ming Department of Power Engineering Dalian University of Technology Dalian 116024 P. R. China

The catalytic combustion of methane in a mierochannel whose surface was coated with platinum（Pt） catalyst was studied by numerical-simulation. The effects of gas-phase reactions on the whole catalytic combustion process were analyzed at a high inlet pressure. A sensitivity analysis of the detailed mechanisms of the surface reaction of methane on Pt revealed that the most sensitive reactions affecting the heterogeneous ignition are oxygen adsorption/desorption and methane adsorption, and the most sensitive reactions affecting the homogeneous ignition are OH and H2O adsorption/desorption. The combustion process of the homogeneous charge compression ignition（HCCI） engine whose piston face was coated with Pt catalyst was simulated. The effects of catalysis and the most sensitive reactions on the ignition timing and the concentration of the main intermediate species during the HCCI engine combustion are discussed. The results show that the ignition timing of the HCCI engine can be increased by catalysis, and the most sensitive reactions affecting the ignition timing of the HCCI engine are OH and H2O adsorption/desorption.

关键词： Heterogeneous ignition Homogeneous ignition Methane Homogeneous charge compression ignition (HCCI) Numerical simulation

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Decomposition of Mongolian pine litter in the presence of understory species in semi-arid northeast China

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Journal of Forestry Research 2016年第2期27卷 329-337页

作者： Bing mao Rong mao Yalin Hu Yue Huang Dehui zeng State Key Laboratory of Forest and Soil Ecology Institute of Applied EcologyChinese Academy of SciencesShenyang 110164China University of Chinese Academy of Sciences Beijing 100049China Daqinggou Ecological Station Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China Northeast Institute of Geography and Agroecology Chinese Academy of SciencesChangchun 130012China

The effects of understory plant litter on domi- nant tree litter decomposition are not well documented especially in semi-arid forests. In this study, we used a microcosm experiment to examine the effects of two understory species （Artemisia scoparia and Setaria viridis） litter on the mass loss and N release of Mongolian pine （Pinus sylvestris var. mongolica） litter in Keerqin Sandy Lands, northeast China, and identified the influencing mechanism from the chemical quality of decomposing litter. Four litter combinations were set up： one monocul- ture of Mongolian pine and three mixtures of Mongolian pine and one or two understory species in equal mass proportions of each species. Total C, total N, lignin, cel- lulose and polyphenol concentrations, and mass loss of pine litter were analyzed at days 84 and 182 of *** chemistry of pine litter not only changed with the stages of decomposition, but was also strongly influenced by the presence of understory species during decomposition. Both understory species promoted mass loss of pine litter at 84 days, while only the simultaneous presence of two understory species promoted mass loss of pine litter at 182 days. Mass loss of pine litter was negatively correlated with initial ratios of C/N, lignin/N and polyphenol/N of litter combinations during the entire incubation period; at 182 days it was negatively correlated with polyphenol concentration and ratios of C/N and polyphenol/N of litter combinations at 84 days of incubation. Nitrogen release of pine litter was promoted in the presence of understory species. Nitrogen release at 84 days was negatively correlated with initial N concentration; at 182 days it was negatively correlated with initial polyphenol concentration of litter combinations and positively correlated with lignin concentration of litter com- binations at 84 days of incubation. Our results suggest that the presence ofunderstory species causes substantial changes in chemical components of pine litt

关键词： Litter chemistry Litter mixture Mass loss Nitrogen release Understory species

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放牧对阿尔泰山哈巴河地区草地植物群落稳定性与多样性及其生物量关系的影响

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水土保持研究 2025年第1期32卷 82-91页

作者：曾国燕叶茂李苗苗陈维龙张西新疆师范大学地理科学与旅游学院新疆干旱区湖泊环境与资源实验室

[目的]研究阿尔泰山哈巴河地区草地植物的群落特征以及植物多样性、地上生物量与群落稳定性关系变化，为哈巴河地区制定合理的放牧制度提供数据支撑。[方法]2020—2022年在阿尔泰山哈巴河的夏季牧场选取18个有代表性的固定样地做调查，... 详细信息

[目的]研究阿尔泰山哈巴河地区草地植物的群落特征以及植物多样性、地上生物量与群落稳定性关系变化，为哈巴河地区制定合理的放牧制度提供数据支撑。[方法]2020—2022年在阿尔泰山哈巴河的夏季牧场选取18个有代表性的固定样地做调查，调查样地中物种数量、盖度和高度等，测定样地中的地上生物量、β多样性(Sφrensen β多样性指数和Jaccard β多样性指数)、物种多样性(Margalef丰富度指数、Simpson优势度指数、Shannon-Wiener多样性指数和Alatalo均匀度指数)和***群落稳定性，分析放牧前后群落稳定性与植物多样性及其生物量的关系。[结果](1)阿尔泰山哈巴河地区草地群落分布物种30种，隶属14科，以菊科、蔷薇科和禾本科居多；(2)放牧后哈巴河地区草地的多样性指数、盖度、植株高度和地上生物量都有明显的下降趋势；(3)放牧前哈巴河地区草地群落稳定性与Margalef物种丰富度指数、Simpson优势度指数和Shannon-Wiener多样性指数均呈极显著正相关(p<0.01)。放牧后哈巴河地区草地群落稳定性与Simpson优势度指数呈显著正相关(p<0.05);(4)放牧前哈巴河地区草地群落稳定性与地上生物量关系呈显著正相关(p<0.05),放牧后哈巴河地区草地群落稳定性与地上生物量关系不相关。[结论]放牧后草地群落稳定性与多样性、生物量关系发生了明显的变化，放牧对群落稳定性的影响较大，在一定程度上降低了群落的稳定性，但群落总体处于稳定状态。

关键词：哈巴河地区群落稳定性物种多样性生物量

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Control of fractional chaotic and hyperchaotic systems based on a fractional order controller

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Chinese Physics B 2014年第8期23卷 274-284页

作者： Li Tian-zeng Wang Yu Luo mao-Kang College of Mathematics Sichuan University Chengdu 610065 China Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing School of Science Sichuan University of Science and Engineering Zigong 643000 China

We present a new fractional-order controller based on the Lyapunov stability theory and propose a control method which can control fractional chaotic and hyperchaotic systems whether systems are commensurate or incommensurate. The proposed control method is universal, simple, and theoretically rigorous. Numerical simulations are given for several fractional chaotic and hyperchaotic systems to verify the effectiveness and the universality of the proposed control method.

关键词： fractional-order chaotic system chaos control fractional-order controller hyperchaos

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Listwise approaches based on feature ranking discovery

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Frontiers of Computer Science 2012年第6期6卷 647-659页

作者： Yongqing WANG Wenji mao Daniel zeng Fen XIA Commercial Products Development Department Alibaba Inc.Hangzhou 310052China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Management Information Systems University of ArizonaTucsonAZ 85721USA Union Research and Development Department Baidu Inc.Beijing 100085China

Listwise approaches are an important class of learning to rank, which utilizes automatic learning techniques to discover useful information. Most previous research on listwise approaches has focused on optimizing ranking models using weights and has used imprecisely labeled training data; optimizing ranking models using features was largely ignored thus the continuous performance improvement of these approaches was hindered. To address the limitations of previous listwise work, we propose a quasi-KNN model to discover the ranking of features and employ rank addition rule to calculate the weight of combination. On the basis of this, we propose three listwise algorithms, FeatureRank, BL-FeatureRank, and DiffRank. The experimental results show that our proposed algorithms can be applied to a strict ordered ranking training set and gain better performance than state-of-the-art listwise algorithms.

关键词： learning to rank listwise approach feature's ranking discovery

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Research on Cogging Force Suppression for Toroidal PMLSM Based on Disturbance Observer

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CES Transactions on Electrical Machines and Systems 2023年第2期7卷 187-192页

作者： Rongtao zeng Jinghong Zhao Sinian Yan Yinhao mao the Electrical Engineering Department Naval University of EngineeringWuhan430000China

For a new type of toroidal permanent magnet linear motor(TPMLSM), this paper analyzes the thrust fluctuation in the constant acceleration operation of the motor from the Angle of the cogging force of the linear motor. For the motor whose structure has been determined and processed, the structural parameters of the motor cannot be changed, and its performance cannot be improved from the perspective of the motor ***, this paper tries to consider the influence of the cogging force on the normal operation of the motor from the perspective of control. In this paper, starting from the body structure of motor, first on the annular linear motor of the cogging force characteristics were extracted, and its expression is obtained by Fourier decomposition, then investigated considering the cogging force and does not consider the cogging force control of motor model, it can be seen that the control performance deteriorates significantly after considering cogging force of the motor, and the acceleration fluctuation increases significantly during the operation of the motor. On this basis, disturbance observation algorithm is introduced, and feedforward compensation is carried out by extracting the characteristic values of the disturbance model. The results show that the disturbance observer can suppress the thrust fluctuation caused by the motor cogging force to a large extent, and it can reduce the peak-to-peak value of the thrust fluctuation by more than 85% during the motor acceleration operation.

关键词： TPMLSM Cogging Force Perturbation Observer Thrust Fluctuation

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