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| 1 | Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model显示文摘Drought is one of the major natural disasters causing huge agricultural losses annually. Regional agricultural drought risk assessment has great significance for reducing regional disaster and agricultural drought losses. Based on the fuzzy characteristics of agricultural drought risk, variable fuzzy sets model was used for comprehensively assessing agricultural drought risk of Liaoning Province in China. A multi-layers and multi-indices assessment model was estab-lished according to variable fuzzy sets theory, and agricultural drought risk of all 14 prefecture-level cities was respec-tively estimated in terms of dangerousness, vulnerability, exposure and drought-resistibility. By calculating the combi-nation weights of four drought risk factors, agricultural drought risk grade of each city was obtained. Based on the as-sessment results, the spatial distribution maps of agricultural drought risk were drawn. The results shows that eastern cities have lower drought dangerousness than western cities in Liaoning Province totally. Most cities are located in low drought vulnerability region and high drought exposure region. Because of frequent and severe drought since 2000, most cities are located in lower drought-resistibility region. Comprehensive agricultural drought risk presents apparent spatial characteristics, escalating from the east to the west. Drought dangerousness is the most important factor influencing comprehensive agricultural drought risk. Through the spatial distribution maps of drought risk, decision makers could find out drought situation and make decisions on drought resistance conveniently. | ZHANG Dan WANG Guoli ZHOU Huicheng | 2011 | Chinese Geographical Science2011，21，2： | 32 |
| 2 | CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach显示文摘Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools. | Jihong Chen Jianzhong Yang Huicheng Zhou Hua Xiang Zhihong Zhu Yesong Li Chen-Han Lee Guangda Xu | 2015 | Engineering2015，1，2： | 17 |
| 3 | Risk analysis of dynamic control of reservoir limited water level by considering flood forecast error显示文摘Flood control forecast operation mode is one of the main ways for determining the upper bound of dynamic control of flood limited water level during flood season. The floodwater utilization rate can be effectively increased by using flood forecast information and flood control forecast operation mode. In this paper, Dahuofang Reservoir is selected as a case study. At first, the distribution pattern and the bound of forecast error which is a key source of risk are analyzed. Then, based on the definition of flood risk, the risk of dynamic control of reservoir flood limited water level within different flood forecast error bounds is studied. The results show that, the dynamic control of reservoir flood limited water level with flood forecast information can increase the floodwater utilization rate without increasing flood control risk effectively and it is feasible in practice. | ZHANG YanPing WANG GuoLi PENG Yong ZHOU HuiCheng | 2011 | Science China(Technological Sciences)2011，54，7： | 16 |
| 4 | Toward Intelligent Machine Tool显示文摘With the development of modern information technology-and particularly of the new generation of artificial intelligence(AI)technology-new opportunities are available for the development of the intelligent machine tool(IMT).Based on the three classical paradigms of intelligent manufacturing as defined by the Chinese Academy of Engineering,the concept,characteristics,and systemic structure of the IMT are presented in this paper.Three stages of machine tool evolution-from the manually operated machine tool(MOMT)to the IMT-are discussed,including the numerical control machine tool(NCMT),the smart machine tool(SMT),and the IMT.Furthermore,the four intelligent control principles of the IMT-namely,autonomous sensing and connection,autonomous learning and modeling,autonomous optimization and decision-making,and autonomous control and execution-are presented in detail.This paper then points out that the essential characteristic of the IMT is to acquire and accumulate knowledge through learning,and presents original key enabling technologies,including the instruction-domain-based analytical approach,theoretical and big-data-based hybrid modeling technology,and the double-code control method.Based on this research,an intelligent numerical control(INC)system and industrial prototypes of IMTs are developed.Three intelligent practices are conducted,demonstrating that the integration of the new generation of AI technology with advanced manufacturing technology is a feasible and convenient way to advance machine tools toward the IMT. | Jihong Chen Pengcheng Hu Huicheng Zhou Jianzhong Yang Jiejun Xie Yakun Jiang Zhiqiang Gao Chenglei Zhang | 2019 | Engineering2019，5，4： | 12 |
| 5 | Study on reservoir operation optimization of Ertan Hydropower Station considering GFS forecasted precipitation显示文摘The medium-term runoff forecasting provided new information for forecast of medium and long term runoff and optimal hydroelectric power generation.According to the actual runoff and hydropower generating characteristics of Ertan Hydropower Station,we studied the decade runoff quantitatively and grade forecast model based on Global Forecasting System(GFS) precipitation forecast information in wet season,then used the posteriori runoff transition probability and measurable probability of runoff forecast to research the uncertain runoff description based on runoff forecast;finally on the basis of the runoff description and the grading forecast accuracy of GFS-based next 10 days'total forecast precipitation,we studied the uncertain optimal operating model of Ertan Hydropower Station considering runoff forecast.The results showed that the runoff forecast considering GFS forecast precipitation and uncertainty has significantly improved the existing runoff description and operating optimization model,and obviously raised the hydropower generation efficiency of Ertan Reservoir. | PENG Yong 1,WANG GuoLi 1,TANG GuoLei 1,ZHOU HuiCheng 1,WANG YaJun 2 & JIAN DePing 2 1 Institute of Water Resources and Flood Control,Dalian University of Technology,Dalian 116023,China 2 Ertan Hydropower Development Co.,Ltd.,Chengdu 610021,China | 2011 | Science China(Technological Sciences)2011，54，S1： | 8 |
| 6 | Multi-reservoir joint operating rule in inter-basin water transfer-supply project显示文摘The joint operation of inter-basin water transfer-supply(IBWTS)project can be more complex when there is joint water demand in multi-reservoir system and multi-importing reservoirs simultaneously transferring water from exporting reservoir.In this study,a joint operating rule is proposed for the purpose of solving such complex operation problem.This rule is composed of a set of sub-rules,including hedging rule curves of virtual aggregation reservoir(i.e.equivalent reservoir)and other individual reservoirs,water-transfer rule curves of each individual reservoir,as well as some of important assisted rules.These assisted rules refer to allocation models for water transfer-supply.In the proposed rule,an equivalent reservoir is established to determine under what condition the water supply should be reduced and specify the total supplied water for joint water demand(i.e.aggregation method).Allocation models are developed to distribute the total transferred water into each importing reservoir and determine the water releases for joint water demand by each member reservoir of the aggregation system(i.e.decomposition method).And these models are integrated with a set of influence factors such as hydrologic characteristics,reservoir storage or vacant storage,regulating ability,water-supply pressure,and so on.The aggregation of multi-reservoirs and the disaggregation of water quantities are taken into a whole consideration to reduce the complexity in reallocation of water target storage or water release.Finally,the proposed rule is applied to the North-line IBWTS Project in Liaoning Province,China.The results indicate that the proposed rule can take full advantage of hydrologic compensation in basins and capacity compensation in reservoirs.Thus it can improve the utilization efficiency of water resources in system. | PENG AnBang PENG Yong ZHOU HuiCheng ZHANG Chi | 2015 | Science China(Technological Sciences)2015，58，1： | 8 |
| 7 | Research on monthly flow uncertain reasoning model based on cloud theory显示文摘In view of the mid and long term runoff forecasting containing many uncertain factors,this paper constructs a uncertain reasoning model (UR) based on the cloud theory to solve the problem of uncertain reasoning.Firstly,in the proposed model,a classification method,i.e.,attribute oriented induction maximum variance (MaxVar),is used to divide the runoff series into different intervals,which are softened and described by the cloud membership with expected value (Ex),entropy (En) and hyper-entropy (He),then an uncertain reasoning rule set is constructed by means of the runoff value generalization and applied to monthly flow for uncertain prediction.Next,a new modification formula is used to calculate He in runoff forecasting,and a confident level probability prediction interval is obtained by statistical method.Finally,this paper takes the monthly flow of Manwan station in China as an example and uses UR model,LSSVM model,and ARMA model to calculate the monthly flow,respectively.The results show that the UR model has the highest prediction accuracy compared to other models,and that it not only provides random output but also supports probability interval prediction. | SHI YuZhi & ZHOU HuiCheng Faculty of Infrastructure Engineering,Dalian University of Technology,Dalian 116024,China | 2010 | Science China(Technological Sciences)2010，53，9： | 7 |
| 8 | Inverted Acetabular Labrum: An Analysis of Tissue Embedment in Hip Joint in 15 Patients with Developmental Dysplasia of the Hip显示文摘 | Hui-Liang Zhang Jun-Sheng Liang Li-Geno Li Dian-Zhong Luo Kai Xiao HuiCheng Hong Zhang | 2017 | Chinese Medical Journal2017，，1： | 5 |
| 9 | Research and application of flood detention modeling for ponds and small reservoirs based on remote sensing data显示文摘This paper proposes a method of small reservoir flood detention modeling that utilizes data from the American land resources satellite Landsat TM/ETM+. Precipitation and potential evapotranspiration are taken as the control conditions in this method on the basis of basin terrain classification. The objective of this method is to solve the question of a small-scale water conservancy project’s influence on flood forecasting precision, which can be used in the basin with multitudinous small reservoirs in the upstream region and can help estimate non-runoff data for small reservoir runoff. Taking the 20060826 flood as an example, the flood detention quantity of 19 small reservoirs is modeled. The results show that the absolute error of the total flood detention quantity is 0.2×10 4 m 3 , and the relative error is 0.12%. The flood detention quantity of small reservoirs in the entire basin is then modeled using this method, and the primary flood forecasting model is adjusted. After adjustment, the precision is significantly improved, with the relative error decreasing from 31.8% to 10.1%. | CAO MingLiang ZHOU HuiCheng ZHANG Chi ZHANG AiJing LI HuiYun YANG Yang | 2011 | Science China(Technological Sciences)2011，54，8： | 4 |
| 10 | Harmonic reducer in-situ fault diagnosis for industrial robots based on deep learning显示文摘The harmonic reducer is an essential kinetic transmission component in the industrial robots.It is easy to be fatigued and resulted in physical malfunction after a long period of operation.Therefore,an accurate in-situ fault diagnosis for the harmonic reducers in an industrial robot is especially important.This paper proposes a fault diagnosis method based on deep learning for the harmonic reducer of industrial robots via consecutive time-domain vibration signals.Considering the sampling signals from industrial robots are long,narrow,and channel-independent,this method combined a 1-dimensional convolutional neural network with matrix kernels(1-D MCNN)adaptive model.By adjusting the size of the convolution kernels,it can concentrate on the contextual feature extraction of consecutive time-domain data while retaining the ability to process the multi-channel fusion data.The proposed method is examined on a physical industrial robot platform,which has achieved a prediction accuracy of99%.Its performance is appeared to be superior in comparison to the traditional 2-dimensional CNN,deep sparse automatic encoding network(DSAE),multilayer perceptual network(MLP),and support vector machine(SVM). | ZHOU Xing ZHOU HuiCheng HE YiMing HUANG ShiFeng ZHU ZhiHong CHEN JiHong | 2022 | Science China(Technological Sciences)2022，65，9： | 3 |
| 11 | On the nonexistence of a global nontrivial subsonic solution in a 3D unbounded angular domain显示文摘In this paper, under some assumptions on the flow with a low Mach number, we study the nonexistence of a global nontrivial subsonic solution in an unbounded domain Ω which is one part of a 3D ramp. The flow is assumed to be steady, isentropic and irrotational, namely, the movement of the flow is described by the potential equation. By establishing a fundamental a priori estimate on the solution of a second order linear elliptic equation in Ω with Neumann boundary conditions on Ω and Dirichlet boundary value at some point of Ω, we show that there is no global nontrivial subsonic flow with a low Mach number in such a domain Ω. | Li Jun Yin HuiCheng Zhou ChunHui | 2010 | Science China Mathematics2010，53，7： | 3 |
| 12 | Long noncoding RNA(lncRNA)HOTAIR:Pathogenic roles and therapeutic opportunities in gastric cancer显示文摘Gastric cancer is one of the first malignant cancers in the world and a large number of people die every year due to this disease.Many genetic and epigenetic risk factors have been identified that play a major role in gastric cancer.HOTAIR is an effective epigenetic agent known as long noncoding RNA(lncRNA).HOTAIR has been described to have biological functions in biochemical and cellular processes through interactions with many factors,leading to genomic stability,proliferation,survival,invasion,migration,metastasis,and drug resistance.In the present article,we reviewed the prognostic value of the molecular mechanisms underlying the HOTAIR regulation and its function in the development of Gastric Cancer,whereas elucidation of HOTAIR–protein and HOTAIR–DNA interactions can be helpful in the identification of cancer processes,leading to the development of potential therapeutic strategies. | Wencheng Kong Guang Yin Sixin Zheng Xinchun Liu Akao Zhu Panpan Yu Jian Zhang Yuqiang Shan Rongchao Ying Huicheng Jin | 2022 | Genes & Diseases2022，9，5： | 3 |
| 13 | The effects of phenolic acid on nitrogen metabolism in Populus 3 euramericana ‘Neva’显示文摘The declines in soil fertility and productivity in continuously cropped poplar plantations are related to phenolic acid accumulation in the soil.Nitrogen is a vital life element for poplar and whether the accumulation of phenolic acid could influence nitrogen metabolism in poplar and thereby hinder continuous cropping is not clear.In this study, poplar cuttings of Populus × euramericana‘Neva’ were potted in vermiculite, and phenolic acids at three concentrations(0 X, 0.5 X and 1.0 X) were added according to the actual content(1.0 X) in the soil of a second-generation poplar plantation.Each treatment had eight replicates.We measured gas exchange parameters and the activities of key enzymes related to nitrogen metabolism in the leaves.Leaf photosynthetic parameters varied with the concentration of phenolic acids.The net photosynthetic rate(P_N) significantly decreased with increasing phenolic acid concentration, and non-stomatal factors might have been the primary limitation for P_N.The activities of nitrate reductase(NR), glutamine synthetase(GS) and glutamate synthase(GOGAT), as well as the contents of nitrate nitrogen, ammonium nitrogen, and total nitrogen in the leaves decreased with increasing phenolic acid concentration.This was significantly and positively related to P_N(P<0.05).The low concentration of phenolic acids mainly affected the transformation process of NO_3^- to NO_2^-, while the high concentration of phenolic acids affected both processes, where NO_3^- was transferred to NO_2^- and NH_4^+ was transferred to glutamine(Gln).Overall, phenolic acid had significant inhibitory effects on the photosynthetic productivity of Populus × euramericana‘Neva’.This was probably due to its influence on the activities of nitrogen assimilation enzymes, which reduced the amount of amino acids that were translated into protein and enzymes.Improving the absorption and utilization of nitrogen by plants could help to overcome the problems caused by continuous cropping. | Hui Li Huicheng Xie Zilong Du Xianshuang Xing Jie Zhao Jing Guo Xia Liu Shuyong Zhang | 2018 | Journal of Forestry Research2018，29，4： | 2 |
| 14 | Recent advances in wireless epicortical and intracortical neuronal recording systems显示文摘An implantable brain-computer interface(BCI)has proven to be effective in the field of sensory and motor function restoration and in the treatment of neurological disorders.Using a BCI recording system,we can transform current methods of human interaction with machines and the environment,especially to help those with cognitive and mobility disabilities regain mobility and reintegrate into society.However,most reported work has focused on a simple aspect of the whole system,such as electrodes,circuits,or data transmission,and only a very small percentage of systems are wireless.A miniature,lightweight,wireless,implantable microsystem is key to realizing long-term,real-time,and stable monitoring on freely moving animals or humans in their natural conditions.Here,we summarize typical wireless recording systems,from recording electrodes,processing chips and controllers,wireless data transmission,and power supply to the system-level package for either epicortical electrocorticogram(ECoG)or intracortical local field potentials(LFPs)/spike acquisition,developed in recent years.Finally,we conclude with our vision of challenges in next-generation wireless neuronal recording systems for chronic and safe applications. | Bowen JI Zekai LIANG Xichen YUAN Honglai XU Minghao WANG Erwei YIN Zhejun GUO Longchun WANG Yuhao ZHOU Huicheng FENG Honglong CHANG Jingquan LIU | 2022 | Science China(Information Sciences)2022，65，4： | 2 |
| 15 | On the Existence and Stability of a Global Subsonic Flow in a 3D Infinitely Long Cylindrical Nozzle显示文摘This paper is concerned with the problem on the global existence and stability of a subsonic flow in an infinitely long cylindrical nozzle for the 3D steady potential flow equation.Such a problem was indicated by Courant-Friedrichs in [8,p.377]:A flow through a duct should be considered as a steady,isentropic,irrotational flow with cylindrical symmetry and should be determined by solving the 3D potential flow equations with appropriate boundary conditions.By introducing some suitably weighted Hlder spaces and establishing a priori estimates,the authors prove the global existence and stability of a subsonic potential flow in a 3D nozzle when the state of subsonic flow at negative infinity is given. | Gang XU Huicheng YIN | 2010 | Chinese Annals of Mathematics,Series B2010，31，2： | 1 |
| 16 | Analyzing the Relation Between Earthquakes and Active Faults Based on the Parameter Optimization Model显示文摘The gestation and occurrence of strong earthquakes are closely related to fault activity, which is not only revealed by abundant experimentation and seismism but also proved by modern seismology. On the Chinese mainland, the relation between earthquake activity and active faults is one of the bases for partitioning potential seismic sources, analyzing the seismotectonics and estimating location of strong earthquakes.Due to the nonuniformity of earth media, instability of observation systems and disturbance of the environment, etc, the variety of observational data is complicated, that is, there is no absolutely 'normal' or 'abnormal', and seismic anomalies can be divided into many mutually exclusive 'abnormal states'. In different conditions of combined time-space-strength, determining seismic anomalies by different monomial forecast methods and its efficiency could be different due to the uncertainty of a precursor itself or complexity of the relationship between a precursor and earthquake gestation. It is very difficult to discover and dispose of this difference in actual application in a 'two-state' model. But in a 'multi-state' model, the difference can be easily reflected and the optimal combination of forecasting parameters for a forecast method can also be determined easily.Based on the 'multi-state' precursory model and the optimization method for parameters of earthquake forecast model under the condition of optimal forecast efficiency, the relationship of the spatial location of earthquake with M≥6.0 and active faults in three seismic belts are analyzed. The results demonstrate that in the Hetao Seismic Belt, seismicity is mostly concentrated in the range of 20 km along the fault, the optimization model can forecast the location of potential earthquakes of M≥6.0 near the faults with a relatively high accuracy and the reliability is 0.5; while in the Qilian Mt. Seismic Belt, the reliability only reaches 0.14 when we use the model to estimate earthquakes within 30 km range along the faults. The 'multi-state' precursory model, the efficiency-evaluating model and the parameter selection of individual earthquake forecast model based on optimal efficiency are of certain revelatory and practicable meanings for developing knowledge about precursors, investigating the laws of earthquake preparation and searching for optimal forecasting methods. | Shao Huicheng Liu Huafeng Yue Zhufeng | 2007 | Earthquake Research in China2007，21，2： | 1 |
| 17 | A multi-objective fuzzy recognition model for assessing groundwater vulnerability based on the DRASTIC system显示文摘 | Zhou huicheng wang guoli yangqing | 1999 | Hydrological Sciences1999，44，4： | 1 |
| 18 | Study on thermal reaction characteristics of shengli vacuum residue with hydro- gen donor and solvent显示文摘 | Que Guohe Zhang Huicheng Deng Wenan | 2000 | Preprints2000，45，4： | 1 |
| 19 | Blocking Adult Images Based on Statistical Skin Detection显示文摘 | Zheng Huicheng Daoudi M Jedynak B | 2004 | Electronic Letters on Computer Vision and Image Analysis2004，4，2： | 1 |
| 20 | Feature Setup Determination in Integrated CAD/CAM System For Concurrent Engineering显示文摘1IntroductionWiththegrowingcompetitioninthemanufactureindustry,thedevelopingperiodofproductisshorterandshorter.Soamanufacturi... | Wang Huicheng Zhou Ji CAD center, HuaZhong Univ. of .Sci.& Tech., Wuhan, 430074, P.R.China | 1998 | Computer Aided Drafting,Design and Manufacturing1998，8，1： | 1 |
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