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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 | 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | 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 |
| 12 | 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 |
| 13 | 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 |
| 14 | A NURBS interpolation algorithm with continuous feedrate显示文摘 | WU Jichun ZHOU Huicheng TANG- Xiaoqi | 2012 | The Interna- tional Journal of Advanced Manufacturing Technology2012，59，58： | 1 |
| 15 | Fast NURBS interpolation based on the biarc guide curve显示文摘 | WU Jichun ZHOU Huicheng TANG Xiaoqi | 2012 | The International Journal of Advanced Manufacturing Technolo- gy2012，58，5678： | 1 |
| 16 | Fast NURBS interpolation based on the biarc guide curve显示文摘 | WU Jichun ZHOU Huicheng TANG Xiaoqi | 2012 | The International Journal of Advanced Manufacturing Technology2012，58，58： | 1 |
| 17 | A multi2objective fuzzy recognition model for assessing groundwater vulnerability based on the DRASTIC system显示文摘 | Zhou Huicheng Wang Guoli Yang Qing | 1999 | Hydrological Sciences1999，44，4： | 1 |
| 18 | Interleukin 35 protects cardiomyocytes following ischemia/reperfusion-induced apoptosis via activation of mitochondrial STAT3显示文摘Mitochondrial reactive oxygen species(mtROS)-induced apoptosis has been suggested to contribute to myocardial ischemia/reperfusion injury.Interleukin 35(IL-35),a novel anti-inflammatory cytokine,has been shown to protect the myocardium and inhibit mtROS production.However,its effect on cardiomyocytes upon exposure to hypoxia/reoxygenation(H/R)damage has not yet been elucidated.The present study aimed to investigate the potential protective role and underlying mechanisms of IL-35 in H/R-induced mouse neonatal cardiomyocyte injury.Mouse neonatal cardiomyocytes were challenged to H/R in the presence of IL-35,and we found that IL-35 dose dependently promotes cell viability,diminishes mtROS,maintains mitochondrial membrane potential,and decreases the number of apoptotic cardiomyocytes.Meanwhile,IL-35 remarkably activates mitochondrial STAT3(mitoSTAT3)signaling,inhibits cytochrome c release,and reduces apoptosis signaling.Furthermore,co-treatment of the cardiomyocytes with the STAT3 inhibitor AG490 abrogates the IL-35-induced cardioprotective effects.Our study identified the protective role of IL-35 in cardiomyocytes following H/R damage and revealed that IL-35 protects cardiomyocytes against mtROS-induced apoptosis through the mitoSTAT3 signaling pathway during H/R. | Fengyun Zhou Ting Feng Xiangqi Lu Huicheng Wang Yangping Chen Qiuxia Zhang Xinlu Zhang Jiancheng Xiu | 2021 | Acta Biochimica et Biophysica Sinica2021，53，4： | 0 |
| 19 | Breeze-activated wind speed sensor with ultra-low friction resistance for self-powered gale disaster warning显示文摘The early warning and monitoring of gale disasters are very important for the safety of people’s lives and properties. Triboelectric nanogenerators(TENGs) are popular for wind speed sensors due to their self-powered property. However, a TENG cannot easily work at low wind speeds due to the limitation of the high frictional resistance structure. In this paper, a TENG-based breezeactivated wind speed sensor(BAWS) with an ultra-low frictional resistance is proposed. The key drive unit of the BAWS is a Savonius-like vertical axis wind turbine, which is fabricated by arrayed airfoil profile blades with excellent flow field characteristics. Here a wind turbine plays dual roles in driving the electromagnetic generator below it to supply energy and lead the TENG above it to sense the wind force. Compared to a classical turbine with a wind cup, the designed turbine has a low resistance torque. The synergistic effect of the drive unit with low-resistance and triboelectric materials with low viscosity allows the BAWS to be activated even at a wind speed of 2.9 m/s. The sensitivities of the voltage frequency and current amplitude of the TENG are used to reflect the electrical property of the BAWS. The measured values are 0.291 Hz/(m·s-1) and 0.221 μA/(m·s-1),which reflects the good sensitivity of the BAWS. Moreover, the linearity of the BAWS reaches up to 0.991, which shows an accurate output for the wind speed. In addition, the device is equipped with a combined electromagnetic-solar unit as the sole power source to meet the sensor’s all-weather operation requirements. This work expands the application prospects of selfpowered sensing technology in the field of disaster warning. | HE HuiCheng MU JiLiang MU JinBiao FENG ChengPeng ZHAO JuanHong WANG Yin ZHOU Hao ZHANG Le HE Jian CHOU XiuJian | 2023 | Science China(Technological Sciences)2023，66，1： | 0 |
| 20 | A smart nanoprobe based on luminescent terbium metal-organic framework coated gold nanorods for monitoring and photo-stimulated combined thermal-chemotherapy显示文摘Real-time monitoring and accurate treatment are of great significance for reducing the side effects during the cancer therapy.In this work,we rationally prepared a smart nanoprobe based on core-shell terbium metal-organic gramework(MOF)with highly effective photothermal conversion capacity and drug release efficiency under near-infrared light irradiation for real-time fluorescence imaging-guided multimodal therapy.The nanoprobe can achieve prominent photothermal therapy and controllable drug release,act as a fluorescence thermometer,and also real-time feedback of temperature is expected to be achieved.At the same time,the two-photon ligand design significantly improves the tissue penetration ability of the nanoprobe.Our work is expected to provide a reference for precise treatment and real-time monitoring of tumors and at the same time provide new ideas for the formulation of individualized treatment plans. | Tong Zhang Liying Qin Liangliang Liu Meina Zhang Tianyi Du Yifan Fan Huicheng Yan Pingru Su Ping Zhou Yu Tang | 2022 | Journal of Rare Earths2022，40，9： | 0 |
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