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| 1 | Free-standing porous carbon electrodes derived from wood for high-performance Li-O2 battery applications显示文摘 | Jingru Luo Xiahui Yao Lei Yang Yang Han Liao Chen Xiumei Geng Vivek Vattipalli Qi Dong Wei Fan Dunwei Wang Hongli Zhu | 2017 | Nano Research2017,10,12: | 7 |
| 2 | Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol显示文摘In this paper,an adaptive dynamic programming(ADP)strategy is investigated for discrete-time nonlinear systems with unknown nonlinear dynamics subject to input saturation.To save the communication resources between the controller and the actuators,stochastic communication protocols(SCPs)are adopted to schedule the control signal,and therefore the closed-loop system is essentially a protocol-induced switching system.A neural network(NN)-based identifier with a robust term is exploited for approximating the unknown nonlinear system,and a set of switch-based updating rules with an additional tunable parameter of NN weights are developed with the help of the gradient descent.By virtue of a novel Lyapunov function,a sufficient condition is proposed to achieve the stability of both system identification errors and the update dynamics of NN weights.Then,a value iterative ADP algorithm in an offline way is proposed to solve the optimal control of protocol-induced switching systems with saturation constraints,and the convergence is profoundly discussed in light of mathematical induction.Furthermore,an actor-critic NN scheme is developed to approximate the control law and the proposed performance index function in the framework of ADP,and the stability of the closed-loop system is analyzed in view of the Lyapunov theory.Finally,the numerical simulation results are presented to demonstrate the effectiveness of the proposed control scheme. | Xueli Wang Derui Ding Hongli Dong Xian-Ming Zhang | 2021 | IEEE/CAA Journal of Automatica Sinica2021,8,4: | 5 |
| 3 | Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources显示文摘A method based on multiple images captured under different light sources at different incident angles was developed to recognize the coal density range in this study.The innovation is that two new images were constructed based on images captured under four single light sources.Reconstruction image 1 was constructed by fusing greyscale versions of the original images into one image,and Reconstruction image2 was constructed based on the differences between the images captured under the different light sources.Subsequently,the four original images and two reconstructed images were input into the convolutional neural network AlexNet to recognize the density range in three cases:-1.5(clean coal) and+1.5 g/cm^(3)(non-clean coal);-1.8(non-gangue) and+1.8 g/cm^(3)(gangue);-1.5(clean coal),1.5-1.8(middlings),and+1.8 g/cm^(3)(gangue).The results show the following:(1) The reconstructed images,especially Reconstruction image 2,can effectively improve the recognition accuracy for the coal density range compared with images captured under single light source.(2) The recognition accuracies for gangue and non-gangue,clean coal and non-clean coal,and clean coal,middlings,and gangue reached88.44%,86.72% and 77.08%,respectively.(3) The recognition accuracy increases as the density moves further away from the boundary density. | Feiyan Bai Minqiang Fan Hongli Yang Lianping Dong | 2021 | International Journal of Mining Science and Technology2021,31,6: | 4 |
| 4 | ABO blood group, hepatitis B viral infection and risk of pancreatic cancer显示文摘 | De‐ShenWang Dong‐LiangChen ChaoRen Zhi‐QiangWang Miao‐ZhenQiu Hui‐YanLuo Dong‐ShengZhang Feng‐HuaWang Yu‐HongLi Rui‐HuaXu | 2012 | Int J Cancer2012,,2: | 4 |
| 5 | Anti-disturbance filter design for a class of stochastic systems with fading channels显示文摘Dear editor,As a significant topic in control and signal processing communities,the filtering problem has been attracting persistent research attention in the past few decades[1].In practical engineering,the parameter perturbations are unavoidable due mainly to exogenous disturbances,environmental changes and some other phenomena. | Yang LIU Zidong WANG Hongli DONG Hongjian LIU | 2020 | Science China(Information Sciences)2020,63,11: | 3 |
| 6 | Image segmentation method for coal particle size distribution analysis显示文摘Particle size distribution is extremely important in the coal preparation industry.It is traditionally analysed by a manual screening method,which is relatively time-consuming and cannot immediately guide production.In this paper,an image segmentation method for images of coal particles is proposed.It employs the watershed algorithm,k-nearest neighbour algorithm,and convex shell method to achieve preliminary segmentation,merge small pieces with large pieces,and split adhered particles,respectively.Comparing the automated segmentation using this method with manual segmentation,it is found that the results are comparable.The size distributions obtained by the automated and manual segmentation methods are nearly identical,and the standard deviation is less than 3%,indicating good reliability.This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined according to consumer requirements. | Feiyan Bai Minqiang Fan Hongli Yang Lianping Dong | 2021 | Particuology2021,19,3: | 3 |
| 7 | General formulas for drag coefficient and settling velocity of sphere based on theoretical law显示文摘The settlement of particles is of great importance in many areas.The accurate determination of drag coefficient and settling velocity in wide Reynolds number(Re)range remains a problem.In this paper,a series of new formulas for drag coefficient of spherical particles based on theoretical laws,such as the Stokes law,the Oseen law,and the Goldstein law,were developed and fitted using 480 groups of experimental data(Re<2 105).The results show that the 2nd approximation of a rational function containing only one parameter can describe CD–Re relationship accurately over the whole Re range of0–2 105.The new developed formulas containing five parameters show higher goodness over wide Re range than presently existing equations.The introduction of the Oseen law is helpful for improving the fitting goodness of the empirical formulas.On the basis of one of the Oseen-based CD–Re formulas giving the lowest sum of squared relative errors Q over the whole Re range(Re<2 105),a general formula for settling velocity utbased on dimensionless parameters was proposed showing high goodness. | Yang Hongli Fan Minqiang Liu Airong Dong Lianping | 2015 | International Journal of Mining Science and Technology2015,25,2: | 3 |
| 8 | Synergetic PM_(2.5) and O_(3) control strategy for the Yangtze River Delta,China显示文摘PM_(2.5)concentrations have dramatically reduced in key regions of China during the period 2013-2017,while O_(3)has increased.Hence there is an urgent demand to develop a synergetic regional PM_(2.5)and O_(3)control strategy.This study develops an emission-to-concentration response surface model and proposes a synergetic pathway for PM_(2.5)and O_(3)control in the Yangtze River Delta(YRD)based on the framework of the Air Benefit and Cost and Attainment Assessment System(ABaCAS).Results suggest that the regional emissions of NOx,SO_(2),NH3,VOCs(volatile organic compounds)and primary PM_(2.5)should be reduced by 18%,23%,14%,17%and 33%compared with 2017 to achieve 25%and 5% decreases of PM_(2.5)and O_(3)in 2025,and that the emission reduction ratios will need to be 50%,26%,28%,28% and 55%to attain the National Ambient Air Quality Standard.To effectively reduce the O_(3) pollution in the central and eastern YRD,VOCs controls need to be strengthened to reduce O_(3)by 5%,and then NOx reduction should be accelerated for air quality attainment.Meanwhile,control of primary PM_(2.5)emissions shall be prioritized to address the severe PM_(2.5)pollution in the northern YRD.For most cities in the YRD,the VOCs emission reduction ratio should be higher than that for NOx in Spring and Autumn.NOx control should be increased in summer rather than winter when a strong VOC-limited regime occurs.Besides,regarding the emission control of industrial processes,on-road vehicle and residential sources shall be prioritized and the joint control area should be enlarged to include Shandong,Jiangxi and Hubei Province for effective O_(3)control. | Zhaoxin Dong Jia Xing Fenfen Zhang Shuxiao Wang Dian Ding Hongli Wang Cheng Huang Haotian Zheng Yueqi Jiang Jiming Hao | 2023 | Journal of Environmental Sciences2023,,1: | 3 |
| 9 | Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda显示文摘The fall armyworm(FAW),Spodoptera frugiperda,is a destructive pest native to America and has recently become an invasive insect pest in China.Because of its rapid spread and great risks in China,understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies.Here,we assembled a chromosome-level genome of a male FAW(SFynMstLFR)and compared re-sequencing results of the populations from America,Africa,and China.Strain identification of 163 individuals collected from America,Africa and China showed that both C and R strains were found in the American pop-ulations,while only C strain was found in the Chinese and African populations.Moreover,population geno-mics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations.Taken toge-ther,FAWs invaded into China were most likely origi-nated from Africa.Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW,of which 283 genes are specific to FAW.Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles,and several detoxification genes such as AOX,UGT and GST spe-cially responded to the pesticides.These findings will be useful in developing effective strategies for manage-ment of FAW in China and other invaded areas. | Furong Gui Tianming Lan Yue Zhao Wei Guo Yang Dong Dongming Fang Huan Liu Haimeng Li Hongli Wang Ruoshi Hao Xiaofang Cheng Yahong Li Pengcheng Yang Sunil Kumar Sahu Yaping Chen Le Cheng Shuqi He Ping Liu Guangyi Fan Haorong Lu Guohai Hu Wei Dong Bin Chen Yuan Jiang Yongwei Zhang Hanhong Xu Fei Lin Bernard Slippers Alisa Postma Matthew Jackson Birhan Addisie Abate Kassahun Tesfaye Aschalew Lemma Demie Meseret Destaw Bayeleygne Dawit Tesfaye Degefu Feng Chen Paul K.Kuria Zachary M.Kinyua Tong-Xian Liu Huanming Yang Fangneng Huang Xin Liu Jun Sheng Le Kang | 2022 | Protein & Cell2022,13,7: | 2 |
| 10 | A variational successive corrections approach for the sea ice concentration analysis显示文摘The sea ice concentration observation from satellite remote sensing includes the spatial multi-scale information.However,traditional data assimilation methods cannot better extract the valuable information due to the complicated variability of the sea ice concentration in the marginal ice zone.A successive corrections analysis using variational optimization method,called spatial multi-scale recursive filter(SMRF),has been designed in this paper to extract multi-scale information resolved by sea ice observations.It is a combination of successive correction methods(SCM)and minimization algorithms,in which various observational scales,from longer to shorter wavelengths,can be extracted successively.As a variational objective analysis scheme,it gains the advantage over the conventional approaches that analyze all scales resolved by observations at one time,and also,the specification of parameters is more convenient.Results of single-observation experiment demonstrate that the SMRF scheme possesses a good ability in propagating observational signals.Further,it shows a superior performance in extracting multi-scale information in a two-dimensional sea ice concentration(SIC)experiment with the real observations from Special Sensor Microwave/Imager SIC(SSMI). | Xuefeng Zhang Lu Yang Hongli Fu Dong Li Zheqi Shen Lianxin Zhang Xuhui Hu | 2020 | Acta Oceanologica Sinica2020,39,9: | 1 |
| 11 | Separation perform- ance of a cyclone column separator with complicated positive and negative cones 显示文摘 | Dong Lianping Fan Minqiang Yang Hongli | 2013 | International Journal of Mineral Processing2013,122,: | 1 |
| 12 | Distributed H= filtering for a class of Markovian jump nonlinear time-delay systems over lossy sen- sor networks 显示文摘 | Dong Hongli Wang Zidong Gao Huijun | 2013 | IEEE Trans on Industrial Electronics2013,60,10: | 1 |
| 13 | Separation performanceof a cyclone column separator with complicated positive andnegative cones显示文摘 | Dong Lianping Fan Minqiang Yang Hongli | 2013 | International Journal of Mineral Processing2013,122,: | 1 |
| 14 | 3DRGO-NiFe2O4/NiO nanoparticles for fast and simple detection of organophosphorus pesticides显示文摘The residues of organophosphorus pesticide(OPs)on fruits and vegetables pose a threat to human health,so it is very meaningful to explore simple and fast detect methods for OPs residual.In this work,nickel ferrite/nickel oxide nanoparticles co-loaded three-dimensional reduced graphene oxide(3DRGONiFe2O4/NiO NPs),as a new low cost nanocomposite,was prepared.Based on its high performance mimetic peroxidase activity,a colorimetric method for the detection of OPs has been developed.Dichlorvos was chosen as model compounds to evaluate the detection performance.The detection linear range for dichlorvos is from 50μg/mL to 2.5×10^4μg/mL with a detection limit of 10μg/mL.Furthermore,a test paper can be developed based on the 3 DRGO-NiFe2O4/NiO NPs for visual detection of dichlorvos,and the image information of the paper sensor can be converted into digital signal and quantitative detection by a smartphone.Notably,this method can also be used to detect dichlorvos in real samples,including vegetables and fruits.Thus,the developed naked assay holds great potential in simple,inexpensive and rapid detection of OPs in fruit and vegetable samples. | Zhenni Wei Huiqing Li Jing Wu Yalei Dong Hongyi Zhang Hongli Chen Cuiling Ren | 2020 | Chinese Chemical Letters2020,31,1: | 1 |
| 15 | Changes of chemical properties of humic acids from crude and fungal transformed lignite 显示文摘 | Dong Lianhua Yuan Quan Yuan Hongli | 2006 | Fuel2006,85,1718: | 1 |
| 16 | Variance-con- strained filtering for a class of HZnonlinear time-varying systems with multiple missing measurements:the finite-hori- zon case显示文摘 | Dong Hongli Wang Zidong Ho D W C | 2010 | IEEE Transactions on Signal Processing2010,58,5: | 1 |
| 17 | Robust H∞ filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts显示文摘 | Dong Hongli Wang Zidong Gao Huijun | | 0,,04: | 1 |
| 18 | Normalizing the Mathematical Model of a Distribution Curve Based on the Power Function’s Rational Expression显示文摘 | Airong Liu Minqiang Fan Lianping Dong Hongli Yang | 2014 | International Journal of Coal Preparation and Utilization2014,,1: | 1 |
| 19 | Cognitive flexibility in internet addicts: fMRI evidence from difficult-to-easy and easy-to-difficult switching situations显示文摘 | Guangheng Dong Xiao Lin Hongli Zhou Qilin Lu | 2013 | Addictive Behaviors2013,,: | 1 |
| 20 | Prognostic value of serum leptin in advanced lung adenocarcinoma patientswith cisplatin/pemetrexed chemotherapy显示文摘 | Wenjun Mou Hui Xue Hongli Tong Shengjie Sun Zhuhong Zhang Chunyan Zhang Qiyu Sun Jing Dong Xinyu Wen Guangtao Yan Yaping Tian | 2014 | Oncology Letters2014,,6: | 1 |