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| 1 | Preparation, characterization and electrochemical properties of mesoporous LiFe_(0.99)Mo_(0.01)PO_4/C显示文摘A mesoporous LiFe0.99Mo0.01PO4/C composite was synthesized by the sol-gel method using (NH4)2MoO4 as a doping starting material. The formation of conductive carbon, metal doping and mesopores was achieved simultaneously in the prepared material. The characterizations of crystal structures and microstructures were investigated using X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), extended X-ray-absorption fine-structure (EXAFS) and X-ray-absorption near-structure spectroscopy (XANES), while the surface area was determined using N2 adsorption techniques. Cyclic voltammetry (CV) and charge-discharge cycling performance were used to characterize its electrochemical properties. The sample possessed uniformly distributed mesopores with an average pore size of 4 nm, and the specific surface area was about 69.368 m2/g. The results show that the reversible capacity of mesoporous LiFe0.99Mo0.01PO4/C is about 160 mAh/g at 0.1C, 135 mAh/g at 1C and 90 mAh/g at 5C, respectively. The capacity fading is neglectable. | YU Chunyang WANG Zhongli CHEN Yu XIA Dingguo CHU Wangsheng WU Ziyuc | 2009 | Rare Metals2009，28，4： | 4 |
| 2 | Synthesis and study of λ-MnO_2 supported Pt nanocatalyst for methanol electro-oxidation显示文摘A λ-MnO2 supported Pt nanocatalyst(5 wt.% Pt/λ-MnO2) was synthesized using a facile approach.X-ray diffraction(XRD), X-ray photoelectron spectroscopy(XPS), scanning electronic microscope(SEM), transmission electron microscopy(TEM), and energy disperse spectroscopy(EDS) were used for catalyst structure and morphology characterization, which showed that the metallic Pt particles were attached on a λ-MnO2 surface through the interaction between Pt and λ-MnO2.Cyclic voltammetry(CV) was used to test the catalytic activity of Pt/λ-MnO2 toward methanol oxidation, which showed that Pt/λ-MnO2 catalyst has much higher catalytic activity than baseline Pt/C catalyst. | XIE Jia, LI Xiang, YU Zhihui, ZHANG Lijuan, LI Fan, and XIA Dingguo College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China | 2010 | Rare Metals2010，29，2： | 3 |
| 3 | Failure mechanisms of bolted flanges in aero-engine casings subjected to impact loading显示文摘In this paper,a failure evaluation criterion was proposed for the bolted casing-flange structure under impact loading.Subsequently,ballistic tests with eighteen bolted casing-flange structure specimens were conducted to validate the failure evaluation criterion.Parameter studies were then carried out using the validated FE models.Both the experimental and numerical results demonstrated the accuracy of the failure evaluation criterion.The failure evaluation criterion provided a quick and easy way to determine the failure mode of the casing connection area by using the materials and dimensions of the structure.Based on the failure evaluation criterion,designing the structural failure mode of the bolted casing-flange structure to be between flange failure and bolt failure can improve the impact resistance of the connection area of the aero-engine casings.This investigation revealed that the impact failure is not the unique criterion in evaluating the containment of the casing connection area,structural failure should also be involved in the evaluation criteria. | Zhenzhong CAO Fan ZHANG Dingguo ZHANG Yi YU Liang LI Xian GUO | 2021 | Chinese Journal of Aeronautics2021，34，12： | 3 |
| 4 | Bridge the Gap Between Full-Reference and No-Reference:A Totally Full-Reference Induced Blind Image Quality Assessment via Deep Neural Networks显示文摘Blind image quality assessment(BIQA)is of fundamental importance in low-level computer vision community.Increasing interest has been drawn in exploiting deep neural networks for BIQA.Despite of the notable success achieved,there is a broad consensus that training deep convolutional neural networks(DCNN)heavily relies on massive annotated data.Unfortunately,BIQA is typically a small sample problem,resulting the generalization ability of BIQA severely restricted.In order to improve the accuracy and generalization ability of BIQA metrics,this work proposed a totally opinion-unaware BIQA in which no subjective annotations are involved in the training stage.Multiple full-reference image quality assessment(FR-IQA)metrics are employed to label the distorted image as a substitution of subjective quality annotation.A deep neural network(DNN)is trained to blindly predict the multiple FR-IQA score in absence of corresponding pristine image.In the end,a selfsupervised FR-IQA score aggregator implemented by adversarial auto-encoder pools the predictions of multiple FR-IQA scores into the final quality predicting score.Even though none of subjective scores are involved in the training stage,experimental results indicate that our proposed full reference induced BIQA framework is as competitive as state-of-the-art BIQA metrics. | Xiaoyu Ma Suiyu Zhang Chang Liu Dingguo Yu | 2023 | China Communications2023，20，6： | 2 |
| 5 | On the convergence property of the DFP algorithm显示文摘 | Dingguo Pu Wenci Yu | 1990 | Annals of Operations Research1990，，1： | 1 |
| 6 | On the conuergence of the DFP algorithm (in Chines)显示文摘 | Pu Dingguo Yu Wenci | 1988 | Journal of Qufu Normal University1988，14，3： | 1 |
| 7 | On the convergence property of the DFP algorithm显示文摘 | Dingguo Pu Wenci Yu | 1990 | Annals of Operations Research1990，，1： | 1 |
| 8 | On the convergence property of the DFP algorithm显示文摘 | Dingguo Pu Wenci Yu | 1990 | Annals of Operations Research1990，，1： | 1 |
| 9 | On the convergence property of the DFP algorithm显示文摘 | Dingguo Pu Wenci Yu | 1990 | Annals of Operations Research1990，，1： | 1 |
| 10 | Design and Implementation of Se- cure SMS Messaging System 显示文摘 | Yu Dingguo Chen Nan | 2012 | Advances in Information Sciences and Service Sciences2012，23，4： | 1 |
| 11 | Toward a Neurophysiological Measure of Image Quality Perception Based on Algebraic Topology Analysis显示文摘The bandwidth of internet connections is still a bottleneck when transmitting large amounts of images,making the image quality assessment essential.Neurophysiological assessment of image quality has highlight advantages for it does not interfere with natural viewing behavior.However,in JPEG compression,the previous study is hard to tell the difference between the electroencephalogram(EEG)evoked by different quality images.In this paper,we propose an EEG analysis approach based on algebraic topology analysis,and the result shows that the difference between Euler characteristics of EEG evoked by different distortion images is striking both in the alpha and beta band.Moreover,we further discuss the relationship between the images and the EEG signals,and the results implied that the algebraic topological properties of images are consistent with that of brain perception,which is possible to give birth to braininspired image compression based on algebraic topological features.In general,an algebraic topologybased approach was proposed in this paper to analyze the perceptual characteristics of image quality,which will be beneficial to provide a reliable score for data compression in the network and improve the network transmission capacity. | Chang Liu Xiaoyu Ma Yijie Zhou Jiaojiao Wang Dingguo Yu | 2022 | China Communications2022，19，2： | 0 |
| 12 | Preparation and electrocatalytic property of Au-Pt/SnO_2/GC composite electrode显示文摘Au-Pt/SnO2/GC composite electrode was prepared by self-assembling Au-Pt nanoparticles on SnO2 film, which was deposited on actived glassy carbon (GC). Atomic force microscopy (AFM) and scanning electron microscopy (SEM) images revealed that dense and uniform Au-Pt particles with 25-nm diameter were dispersed on SnO2 film. X-ray photoelectron spectroscopy (XPS) results proved that there was an interaction between Au-Pt nanoparticles and SnO2 support. Electrochemical experiments showed that Au-Pt/SnO2/GC composite electrode had a good electrocatalytic activity to the oxidation of methanol. | YU Zhihui XIE Jia BAI Jie TIAN Mi XIA Dingguo | 2009 | Rare Metals2009，28，4： | 0 |
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