|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Study on the Xenia Effect in Castanea henryi显示文摘The xenia effect results in pollen affecting the setting rate and the appearance and quality of fruits. To further understand this phenomenon,we investigated the xenia effect in Castanea henryi using the cultivars ‘Huali 1', ‘Huali 2', ‘Huali 3', and ‘Huangzhen' as materials. Twenty combinations of self-, cross-, and natural pollination were undertaken in a chestnut orchard in Chenzhou City, Hunan Province, China. Significant differences were observed among the pollination combinations in terms of the time of fruit ripening, rate of fruit setting, size of the barbed shell and nut, and content of soluble sugars, fats, proteins, amylose, and vitamin C. No significant differences were observed with regard to nut rate,content of total starch, and moisture content. The fruit quality of the 20 pollination combinations was evaluated using a subordinate function method,and showed that Huali 2 × Huali 3 was the best combination, and Huangzhen × Huangzhen was the most ineffective combination. Therefore, we recommend the combination of Huali 2 × Huali 3 for the future production of C. henryi. | ZHANG Xuhui YUAN Deyi ZOU Feng FAN Xiaoming TANG Jing ZHU Zhoujun | 2016 | Horticultural Plant Journal2016，2，6： | 9 |
| 2 | NSHV trajectory prediction algorithm based on aerodynamic acceleration EMD decomposition显示文摘Aiming at the problem of gliding near space hypersonic vehicle(NSHV)trajectory prediction,a trajectory prediction method based on aerodynamic acceleration empirical mode decomposition(EMD)is proposed.The method analyzes the motion characteristics of the skipping gliding NSHV and verifies that the aerodynamic acceleration of the target has a relatively stable rule.On this basis,EMD is used to extract the trend of aerodynamic acceleration into multiple sub-items,and aggregate sub-items with similar attributes.Then,a prior basis function is set according to the aerodynamic acceleration stability rule,and the aggregated data are fitted by the basis function to predict its future state.After that,the prediction data of the aerodynamic acceleration are used to drive the system to predict the target trajectory.Finally,experiments verify the effectiveness of the method.In addition,the distribution of prediction errors in space is discussed,and the reasons are analyzed. | LI Fan XIONG Jiajun LAN Xuhui BI Hongkui CHEN Xin | 2021 | Journal of Systems Engineering and Electronics2021，32，1： | 6 |
| 3 | Mechanical and tribological performance of CoCrNiHf_(x)eutectic medium-entropy alloys显示文摘The excellent properties of the multi-principal element alloys(e.g.,the CoCrNi medium-entropy alloy)make them a perfect candidate for structure materials.Their low strength and poor wear-resistance,however,limit considerably their applications.In this study,a lamellar eutectic microstructure was introduced by addition of Hf into CoCrNi alloy to produce a series of CoCrNiHf_(x)(x=0.1,0.2,0.3 and 0.4)eutectic medium-entropy alloys.A homogeneous eutectic microstructure with an alternate array of the soft FCC solid-solution phase and the hard Laves phase was identified for the as-cast CoCrNiHf_(0.3)alloy.After an investigation of the microstructure,mechanical and tribological properties,it was found that the hardness(plasticity)increases(decreases)with the increasing volume fraction of the Laves phase and the CoCrNiHf_(0.3)eutectic alloy exhibits both good plasticity and high strength.The wear behavior is strongly dependent on the applied normal load.For a low normal load,its tribological behavior follows the Archard's equation and a higher hardness due to Hf addition can resist plastic deformation and abrasive wear.When the normal load is high enough,the hypoeutectic or hypereutectic alloy,which possessing either high strength or good ductility but not at the same time,exhibit a poor wear resistance.In comparison,the full eutectic CoCrNiHf_(0.3)alloy with a superior combination of strength and toughness shows the best wear performance,as it can significantly reduce fracture during wear. | Yin Du Xuhui Pei Zhaowu Tang Fan Zhang Qing Zhou Haifeng Wang Weimin Liu | 2021 | Journal of Materials Science & Technology2021，，31： | 4 |
| 4 | Research Progress on Estimation of the Atmospheric Boundary Layer Height显示文摘Atmospheric boundary layer height(ABLH)is an important parameter used to depict characteristics of the planetary boundary layer(PBL)in the lower troposphere.The ABLH is strongly associated with the vertical distributions of heat,mass,and energy in the PBL,and it is a key quantity in numerical simulation of the PBL and plays an essential role in atmospheric environmental assessment.In this paper,various definitions and methods for deriving and estimating the ABLH are summarized,from the perspectives of turbulent motion,PBL dynamics and thermodynamics,and distributions of various substances in the PBL.Different methods for determining the ABLH by means of direct observation and remote sensing retrieval are reviewed,and comparisons of the advantages and disadvantages of these methods are presented.The paper also summarizes the ABLH parameterization schemes,discusses current problems in the estimation of ABLH,and finally points out the directions for possible future breakthroughs in the ABLHrelated research and application. | Hongsheng ZHANG Xiaoye ZHANG Qianhui LI Xuhui CAI Shaojia FAN Yu SONG Fei HU Huizheng CHE Jiannong QUAN Ling KANG Tong ZHU | 2020 | Journal of Meteorological Research2020，34，3： | 3 |
| 5 | Building Load Forecasting Using Deep Neural Network with Efficient Feature Fusion显示文摘The energy consumption of buildings has risen steadily in recent years. It is vital for the managers and owners of the building to manage the electric energy demand of the buildings. Forecasting electric energy consumption of the buildings will bring great profits, which is influenced by many factors that make it very difficult to provide an advanced forecasting. Recently, deep learning techniques are widely adopted to solve this problem. Deep neural network offers an excellent capability in handling complex non-linear relationships and competence in exploring regular patterns and uncertainties of consumption behaviors at the building level. In this paper, we propose a deep convolutional neural network based on Res Net for hour-ahead building load forecasting. In addition, we design a branch that integrates the temperature per hour into the forecasting branch. To enhance the learning capability of the model, an innovative feature fusion is presented. At last, sufficient ablation studies are conducted on the point forecasting, probabilistic forecasting, fusion method, and computation efficiency.The results show that the proposed model has the state-of-theart performance, which reflects a promising prospect in application of the electricity market. | Jinsong Wang Xuhui Chen Fan Zhang Fangxi Chen Yi Xin | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，1： | 3 |
| 6 | Recent developments and progress of inorganic photo-stimulated phosphors显示文摘Photo-stimulated luminescence(PSL) is the process in which trapped charges are released by photons and produce luminescence through recombination. The variegated optical characteristics of photostimulated phosphors(PSPs) have drawn increasing attention and a large body of work encompassing mechanism and application of PSPs has been addressed. The optical data storage capacity resulting from abundant defect states enables PSPs to be applied to information storage. Moreover, PSPs provide potential application for anti-counterfeiting, as color changes due to the tunneling process. Recently, near infrared(NIR) light PSPs have been developed, exhibiting enormous potential for in vivo bio-imaging, as the stable and high noise-signal ratio characteristic of PSL. In this review, we devote to introducing the development and process of PSPs, and the challenge and future advance have also been demonstrated. | Xiaotong Fan Zhichao Liu Xiuxia Yang Wenbo Chen Wei Zeng Shuyu Tian Xue Yu Jianbei Qiu Xuhui Xu | 2019 | Journal of Rare Earths2019，37，7： | 2 |
| 7 | Multi-scale synergic optimization strategy for dielectric energy storage ceramics显示文摘Dielectric capacitors,serving as the indispensable components in advanced high-power energy storage devices,have attracted ever-increasing attention with the rapid development of science and technology.Among various dielectric capacitors,ceramic capacitors with perovskite structures show unique advantages in actual application,e.g.,excellent adaptability in high-temperature environments.And the optimization of their energy storage performance has become a hot research topic recently.This review presents the basic principles of energy storage in dielectric ceramics and introduces multi-scale synergic optimization strategies according to the key factors for superior energy storage performance.By summarizing the common points in numerous works,several universal modification strategies are reviewed,and future research on fatigue fracture of ceramic capacitors under multi-field including but not limited to force,electric,and thermal coupling conditions is also anticipated. | Xuhui Fan Jing Wang Hao Yua Zehan Zheng Ji Zhang Kongjun Zhu | 2023 | Journal of Advanced Ceramics2023，12，4： | 2 |
| 8 | Hypersonic Vehicle Trajectory Prediction Algorithm Based on Hough Transform显示文摘Trajectory prediction is a prerequisite for missile and high-speed vehicle guidance interception.To address the trajectory problem for the near space hypersonic unpowered gliding vehicle.Firstly,the trajectory prediction mechanism is analyzed.Based on the existing NSHV trajectory prediction method,the key techniques of trajectory prediction are discussed from the perspectives of prediction parameter selection and prediction parameter description.Then,a trajectory prediction method based on Hough transform is proposed.The core of the method is to select the longitude latitude,and high direction positions as prediction parameters,and use the Hough transform to fit the prior basis functions.In the latitude and longitude direction,the rationality of predicting parameters is discussed from two aspects:position extreme point and lateral maneuverability.In the height direction,for the NSHV oscillation drop characteristic,two Hough transforms are used to separate the periodic term from the linear term.In addition,we give the approximate interval of the parameter values of the method,and design a parameter adaptive scheme.Finally,trajectory prediction is performed on two different control patterns.The error of the prediction time of 100 s is within 25 km,and the results show the effectiveness of the proposed method. | LI Fan XIONG Jiajun LAN Xuhui BI Hongkui TAN Xiansi | 2021 | Chinese Journal of Electronics2021，30，5： | 2 |
| 9 | Development of a high power density motor made of amorphous alloy cores显示文摘 | Tao Fan Qi Li Xuhui Wen | 2014 | IEEE Transactions on Industrial Electronics2014，61，9： | 1 |
| 10 | Development of a high power density motor made of amorphous alloy cores显示文摘 | FAN Tao LI Qi WEN Xuhui | 2014 | IEEE Transactions on In- dustrial Electronics2014，61，9： | 1 |
| 11 | A dual channel perturbation particle filter algorithm based on GPU acceleration显示文摘The particle filter(PF) algorithm is one of the most commonly used algorithms for maneuvering target tracking. The traditional PF maps from multi-dimensional information to onedimensional information during particle weight calculation, and the incorrect transmission of information leads to the fact that the particle prediction information does not match the weight information, and its essence is the reduction of the information entropy of the useful information. To solve this problem, a dual channel independent filtering method is proposed based on the idea of equalization mapping. Firstly, the particle prediction performance is described by particle manipulations of different dimensions, and the accuracy of particle prediction is improved. The improvement of particle degradation of this algorithm is analyzed in the aspects of particle weight and effective particle number. Secondly, according to the problem of lack of particle samples, the new particles are generated based on the filtering results, and the particle diversity is increased. Finally, the introduction of the graphics processing unit(GPU) parallel computing the platform, the 'channel-level' and 'particlelevel' parallel computing the program are designed to accelerate the algorithm. The simulation results show that the algorithm has the advantages of better filtering precision, higher particle efficiency and faster calculation speed compared with the traditional algorithm of the CPU platform. | LI Fan BI Hongkui XIONG Jiajun YU Chenlong LAN Xuhui | 2018 | Journal of Systems Engineering and Electronics2018，29，4： | 1 |
| 12 | Design and experiment of a subsoiling variable rate fertilization machine显示文摘In order to improve soil fertility and fertilizer utilization,a subsoiling variable rate fertilization machine based on conservation tillage and precision agriculture was designed and tested.The relationship between suspension parameters and penetrating distance was analyzed,and a matching model between fertilizing quantity and penetrating distance was established.The variable rate fertilization control machine was developed based on an Advantech PCM-9363 industrial control mainboard.The machine operates under two patterns:DGPS-based positioning and straight-line path positioning based on a planar coordinate system.This machine can perform on-demand fertilization according to the spatial differences in soil nutrients and the prescription maps pre-set before the operation.Field experiments showed the machine has a subsoiling stability of 92.5%,a soil breaking rate of 61.1%,a maximum positioning relative error of 2.68%and a maximum variable rate fertilization error of 3.89%.The subsoiling performance and variable rate fertilization indices of this machine satisfy the requirements of GB/T24675.2-2009.The tested indices meet the national and industrial standards and satisfy the design requirements.The findings of the research can be used as the structural design of the subsoiling variable rate fertilization machine. | Jiangtao Qi Xinliang Tian Yang Li Xuhui Fan Hongfang Yuan Jiale Zhao Honglei Jia | 2020 | International Journal of Agricultural and Biological Engineering2020，13，4： | 1 |
| 13 | Development of a High Power Density Motor Made of Amorphous Alloy Cores显示文摘 | Fan Tao Li Qi Wen Xuhui | 2013 | IEEE Transactions on Industrial Electronics2013，61，9： | 1 |
| 14 | Hepatic RIG-I Predicts Survival and Interferon-α Therapeutic Response in Hepatocellular Carcinoma显示文摘 | Jin Hou Ye Zhou Yuanyuan Zheng Jia Fan Weiping Zhou Irene O.L. Ng Huichuan Sun Lunxiu Qin Shuangjian Qiu Joyce M.F. Lee Chung-Mau Lo Kwan Man Yuan Yang Yun Yang Yingyun Yang Qian Zhang Xuhui Zhu Nan Li Zhengxin Wang Guoshan Ding Shi-Mei Zhuang Limin Zheng | 2013 | Cancer Cell2013，，： | 1 |
| 15 | Research on the new airplane develop system based on 3D-digital technique and multi-companies collaboration显示文摘 | WANG Qianping FAN Lin WU Xuhui | 2015 | Procedia Engineering2015，99，： | 1 |
| 16 | Expert consensus on the prevention and treatment of substance use and addictive behaviour-related disorders during the COVID-19 pandemic显示文摘In early 2020,the COVID-19 outbreak complicated the diagnosis,treatm ent and rehabilitation of patients with substance use disorders and increased the risks of substance abuse and addictive behaviours,such as online gaming disorders,in the general public.Substance use disorder is a chronic recurrent brain disease characterised by strong cravings,high recurrence rates,and a high proportion of comorbidity of mental and physical disorders.1 Therefore,regular long-term therapeutic interventions are critical to preventing dm g relapses while maintaining withdrawal. | Jiang Du Ni Fan Min Zhao Wei Hao Tieqiao Liu Lin Lu Jie Shi Haifeng Jiang Na Zhong Xiaochang Lan Shichao Xu Hongxian Chen Xiaojun Xiang Xuyi Wang Hongqiang Sun Bing Li Yu-Ping Ning Jing Li Wanjun Guo Yajuan Niu Lixia Sheng Yi Li Xuebin Liu Xuhui Zhou Mincai Qian Wenhua Zhou Ruiling Zhang Hongxing Hu Yan Xia Zhonghua Su Ruimin Zhang Mei Yang Fen Liu Wei Yuan | 2020 | General Psychiatry2020，33，4： | 1 |
| 17 | Smooth support vector machine based on circular tangent function显示文摘Support vector machines(SVMs) have been intensively applied in the domains of speech recognition, text categorization, and faults detection. However, the practical application of SVMs is limited by the non-smooth feature of objective function. To overcome this problem, a novel smooth function based on the geometry of circle tangent is constructed. It smoothes the non-differentiable term of unconstrained SVM, and also proposes a circle tangent smooth SVM(CTSSVM). Compared with other smooth approaching functions, its smooth precision had an obvious improvement. Theoretical analysis proved the global convergence of CTSSVM. Numerical experiments and comparisons showed CTSSVM had better classification and learning efficiency than competitive baselines. | Zhang Jie Fan Xuhui Ban Dengke | 2016 | The Journal of China Universities of Posts and Telecommunications2016，23，1： | 1 |
| 18 | Investigation on the Novel High-performance Copper/Graphene Composite Conductor for High Power Density Motor显示文摘High-performance Cu/Graphene composite wire synergistically strengthened by nano Cr_(3)C_(2) phase was directly synthesized via hot press sintering followed by severe cold plastic deformation, using liquid paraffin and CuCr alloy powder as the raw materials. Since graphene is in situ formed under the catalysis of copper powder during the sintering process, the problem that graphene is easy to agglomerate and difficult to disperse uniformly in the copper matrix has been solved. The nano Cr_(3)C_(2)-particles nailed at the interface favor to improve the interface bonding. The Cu/Graphene composite possesses high electrical conductivity, hardness, and plasticity. The composite wire exhibits high electrical conductivity of 96.93% IACS, great tensile strength of 488MPa, and excellent resistance to softening. Even after annealing at 400℃ for 1 h, the tensile strength can still reach 268 MPa with a conductivity of about 99.14% IACS.The wire's temperature coefficient of resistance(TCR) is largely reduced to 0.0035/℃ due to the complex structure,which leads the wire to present low resistivity at higher temperatures. Such Cu/Graphene composite wire with excellent comprehensive performance has a good application prospect in high-power density motors. | Jiaxiao Wang Tingting Zuo Jiangli Xue Yadong Ru Yue Wu Zhuang Xu Yongsheng Liu Zhaoshun Gao Puqi Ning Tao Fan Xuhui Wen Li Han Liye Xiao | 2024 | CES Transactions on Electrical Machines and Systems2024，8，1： | 0 |
| 19 | Message from Editors显示文摘THE rapid growth of new energy vehicles is accelerating the low-carbon transition in the global transportation sector. According to the international energy agency report, more than 10 million electric vehicles(EVs) including pure electric and hybrid models were sold worldwide in 2022, which means that the global share of electric vehicles in the overall automotive market has risen from less than 5% in 2020 to 14% in 2022. | Xuhui Wen Tao Fan Dong Jiang Yinye Yang Xin Zhang Yan Xu Xinhua Guo Shuangxia Niu Chaohui Liu Yihua Hu Pinjia Zhang Zhaoshun Gao Puqi Ning | 2023 | CES Transactions on Electrical Machines and Systems2023，7，3： | 0 |
| 20 | Synthesis and Catalytic Performance of Environmental Friendly Co(Salen) Complex显示文摘Schiff base was synthesized by using salicylaldehyde and ethylenediamine as raw materials,and then Co(Salen)complex was synthesized by using Schiff base and Co.The structure and purity of the samples were tested by mass spectrum.Then the orthogonal test method was used to study the catalytic performance of the complex in the reaction of benzil produced from benzoin,and the optimal reaction conditions were obtained finally.The results showed when the reaction temperature was 80℃,and the reaction time was 2h,the yield of benzil produced from benzoin by using Co(Salen)as catalyst reached the maximum 37.28%. | Fan Huiyang Gan Ning Tao Qiong Bao Xuhui Liu Yanping | 2016 | Meteorological and Environmental Research2016，7，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员