Patch size adaptive image inpainting

( Huaming Liu ),( Guanming Lu ),( Xuehui Bi ),( Weilan Wang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10

Texture synthesis technology has the advantages of repairing texture and structure at the same time. However, during the filling process, the size of the patch is fixed, and the content of the filling is not fully considered. In order to be able to adaptively change the patch size, we used the exemplar-based inpainting technique as the test algorithm, considering the image structure and texture, calculated the image structure patch size and texture patch size, and comprehensively determined the image patch size. This can adaptively change the patch size according to the filling content. In addition, we use multi-layer images to calculate the priority, so that the order of image repair was more stable. The proposed repair algorithm is compared with other image repair algorithms. The experimental results showed that the proposed adaptive image repair algorithm can better repair the texture and structure of the image, which proved the effectiveness of the proposed algorithm.

Geometry Characteristics Prediction of Single Track Cladding Deposited by High Power Diode Laser Based on Genetic Algorithm and Neural Network

Huaming Liu,Xunpeng Qin,Song Huang,Lei Jin,Yongliang Wang,Kaiyun Lei 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.7

This paper aims to establish a correlation between the process parameters and geometrical characteristics of the sectional profile of the single track cladding deposited by high power diode laser with rectangle beam spot. By applying the genetic algorithm and back propagation neural network, a nonlinear model for predicting the geometry features of the single track cladding is developed. A full factorial design method is used to conduct the experiments, and the experimental results are chosen randomly as training dataset and testing dataset for the neural network. Three main input variables such as laser power, scanning speed, and powder thickness were considered. The performance of the genetic algorithm and back propagation artificial neural network was compared to that of the standard back propagation neural network. To improve the accuracy of the neural network, one-hidden-layer and double-hidden-layer neural network with different architectures were performed. Further, one-output and multi-output neural network are also trained and tested. The results indicate that, by using genetic algorithm, the prediction accuracy of the neural network is significantly improved. Meanwhile, the double-hidden-neural network has higher prediction accuracy than the one-hidden-layer-neural network, while the one-output-neural network has higher prediction accuracy than the multi-output-neural network.

Efficient degradation of methylene blue dye by catalytic oxidation using the Na_8Nb_6O_19.13H_2O/H_2O-2 system

Chengtang Liu,Huaming Li,Hui Xu,Ling Liu,Li Xu,Zhixiang Ye 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.4

Na_8Nb_6O_19.13H_2O particles were synthesized by a simple hydrothermal method. The catalysts were characterized by X-ray diffraction (XRD), scanning electronic microscopy (SEM) and thermogravimetric and differential scanning (TG-DSC). The XRD and TG-DSC analyses indicated that Na_8Nb_6O_19.13H-2O was an intermediate hexaniobate during the preparation of NaNbO_3 powders. Methylene blue (MB) dye degradation using Na_8Nb_6O_19.13H_2O/H_2O_2,Nb_2O_5/H_2O_2 and NaNbO_3/H_2O_2 systems were investigated, respectively. Among the catalytic oxidation systems, Na_8Nb_6O_19·13H_2O showed the highest activity for degradation of MB in the presence of H_2O_2. The results indicated that the dye degradation efficiency could be 93.5% at 30 ℃ after 60 min in the presence of the Na_8Nb_6O_19·13H_2O/H_2O-2 system. It was also found that the degradation of MB over the catalytic systems followed pseudo-first-order kinetics, and the degradation rate was 0.02376 min−1 in the Na_8Nb_6O_19.13H_2O/H_2O_2 system, which was higher than that in the Nb_2O_5/H_2O_2and NaNbO_3/H_2O_2 systems. A possible mechanism for MB catalytic oxidation degradation using the Na_8Nb_6O_19.13H-2O/H_2O_2 system was proposed.

Effects of surface materials of self-draining beds on cattle behavior in a temperate climate

Liu Ping,Guo Lulu,Zhang Fulan,Li Lin,Mao Huaming,Gu Zhaobing 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.11

Objective: The objective of the present experiment was to construct self-draining beds to keep surface bedding materials clean and dry for beef cattle comfort in a temperate climate. Methods: In Experiment 1, a self-draining bed was covered with sand at depths of 10 cm (S-10a), 15 cm (S-15), and 20 cm (S-20) respectively. In Experiment 2, self-draining beds of different sizes were covered with 10 cm of sand (S-10b) and wood shavings (WS) at depths of 15 cm and 20 cm (WS-15 and WS-20). Fifteen cattle were engaged to evaluate the comfort of self-draining beds covered with different bedding materials. Results: No cattle lay in the feed alley and cattle spent more time lying on S-10a than S-15 or S-20 in Experiment 1 (p<0.01). No difference in lying time was detected between S-15 and S-20 (p>0.05). In Experiment 2, no cattle selected the feed alley as the lying area. Cattle preferred WS-15 as the lying area and time spent lying on WS-20 was slightly higher than on S-10b (p<0.05). Feces weight was higher in the feed alley than in the different bedding areas in both Experiments 1 and 2 (p<0.01). Conclusion: Sand-bedding depth at 10 cm and WSs at 15 cm above the self-draining bed can provide for the lying comfort of beef cattle. Design of a special feed alley to hold most of the feces to keep bedding materials clean and dry is desirable for organic beef cattle in a loose barn.

Photocatalytic oxidative desulfurization of dibenzothiophene catalyzed by amorphous TiO2 in ionic liquid

Wenshuai Zhu,Huaming Li,Yehai Xu,Bilian Dai,Hui Xu,Chao Wang,Yanhong Chao,Hui Liu 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.2

Three types of TiO2 were synthesized by a hydrolysis and calcination method. The catalysts were characterizedby X-ray powder diffraction (XRD), diffuse reflectance spectrum (DRS), Raman spectra, and X-ray photoelectronspectroscopy (XPS). The XRD and Raman spectra indicated that amorphous TiO2 was successfully obtained at100 oC. The results indicated that amorphous TiO2 achieved the highest efficiency of desulfurization. The photocatalyticoxidation of dibenzothiophene (DBT), benzothiophene (BT), 4,6-dimethyldibenzothiophene (4,6-DMDBT) anddodecanethiol (RSH) in model oil was studied at room temperature (30 oC) with three catalysts. The system containedamorphous TiO2, H2O2, and [Bmim]BF4 ionic liquid, ultraviolet (UV), which played vitally important roles in the photocatalyticoxidative desulfurization. Especially, the molar ratio of H2O2 and sulfur (O/S) was only 2 : 1, which correspondedto the stoichiometric reaction. The sulfur removal of DBT-containing model oil with amorphous TiO2 couldreach 96.6%, which was apparently superior to a system with anatase TiO2 (23.6%) or with anatase - rutile TiO2 (18.2%). The system could be recycled seven times without a signicant decrease in photocatalytic activity.

MECHANOCHEMICAL SYNTHESIS OF NiO NANOPARTICLES: INSIGHT INTO THE NATURE OF PREFERRED GROWTH ORIENTATION

XIAOYU LI,HUAMING YANG,LIANGJIE FU,TIANCHENG LIU 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.4

Nickel oxide (NiO) nanoparticles were synthesized by calcination at 400?C to 700?C for 8 h of theprecursor obtained via mechanochemical reaction of Ni(NO 3 ) 2 ? 6 H 2 O with citric acid as a dis-persant. The nanoparticles were characterized by thermogravimetric-diferential scanningcalorimetry (TG-DSC), X-ray difraction (XRD) and transmission electron microscopy (TEM). The kinetics of diferent surfaces of the nanocrystals under nonisothermal conditions wasinvestigated. The activation energies for diferent lattice planes of NiO nanoparticles weredetermined using the Arrhenius equation, revealing their preferred orientation. The growth ofNiO obeyed the general theory that nanoparticles with the largest surface energy tend to form. XRD data reveal that the NiO nanoparticles possess preferred (111) or (200) orientations thatre°ect their complex activity. The nature of preferred growth orientation was found to benegative difusion activity among diferent lattice surfaces, which indicates that oxygen atomsdi®use from low oxygen concentration on the lattice surface to high concentration on the latticesurface.

One-Step Synthesis of Rod-Shaped NiFe-MOF as a Highly Efficient Oxygen Evolution Catalyst

Dandan Zhang,Renxing Huang,Huaming Xie,Xingyong Liu,Ying Lei,Ming Pan 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.8

Development of low-cost, highly active catalyst for efficient oxygen evolution reaction based on earth-abundant metals is still a great challenge. Here, we report that a rod-like bimetallic NiFe metal-organic framework (NiFe-MOF) can directly act as a highly efficient oxygen evolution reaction (OER) catalyst synthesized by a convenient-to-operate hydrothermal method. The rod-like NiFe-MOF can derive 10 mA cm -2 with a low overpotential of only 26 mV, and its Tafel slope is 40.82 mV dec -1, which is superior to that of monometallic Ni-MOF or Fe-MOF, and even can be comparable to that of RuO2. To identify the origin of enhancing OER activity, we resorted to X-ray diffraction, scanning electron microscope, transmission electron microscope, high resolution transmission electron microscopy image and nitrogen adsorption–desorption techniques and various electrochemical techniques to probe it gingerly. The results indicate that its high electrochemically active area and the synergistic effect of bimetallic node could be responsible for the surprisingly high catalytic performance of the NiFe-MOF. These results suggest that this kind of bimetallic MOF (NiFe-MOF) could be a promising electrocatalyst for oxygen evolution reaction.

Facile Fabrication of Nitrogen, Phosphorus and Silicon Co-Doped Porous Carbon as an Efficient Oxygen Reduction Catalyst for Primary Zn-Air Battery

Renxing Huang,Ying Lei,Dandan Zhang,Huaming Xie,Xingyong Liu,Honghui Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.9

It is highly pleasurable but challenging to develop economical and efficient catalysts for accelerating the oxygen reduction reaction (ORR) endowed with sluggish kinetics involved in renewable energy conversion and storage systems such as Zn-air batteries. Herein, N, P and Si tri-doped porous carbon (SiN-PA900) catalysts was prepared by a simple one-step pyrolysis strategy using the mixture of the ionic liquid formed by phytic acid (PA) and N-methylimidazole and tetraethyl orthosilicate (TEOS) as N, P, Si and carbon sources, and the PA as pore-foaming agent. The resulting SiN-PA900 shows favorable catalytic activity toward ORR with an onset potential of 0.94 V versus RHE, half-wave potential of 0.81 V versus RHE, robust stability and excellent tolerance for methanol in alkaline medium, which are comparable to those of the commercial 20% Pt/C. More impressively, the assembled primary Zn-air battery employing the SiN-PA900 as cathode catalysts can achieve a peak power density of 181.4 mW/cm2. Those encouraging properties could be attributed to a synergistic effect of the doped N, P and Si atoms in the carbon matrix, good surface wettability, high surface areas and hierarchical porous structures for sufficient contact and rapid transportation of the reactants in terms of composition and structures.

Expression of Translationally Controlled Tumor Protein (TCTP) Gene of Dirofilaria immitis Guided by Transcriptomic Screening

Yan Fu,Jingchao Lan,Xuhang Wu,Deying Yang,Zhihe Zhang,Huaming Nie,Rong Hou,Runhui Zhang,Wanpeng Zheng,Yue Xie,Ning Yan,Zhi Yang,Chengdong Wang,Li Luo,Li Liu,Xiaobin Gu,Shuxian Wang,Xuerong Peng,Guangy 대한기생충학열대의학회 2014 The Korean Journal of Parasitology Vol.52 No.1