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( Xia Li ),( Guanming Lu ),( Jingjie Yan ),( Haibo Li ),( Zhengyan Zhang ),( Ning Sun ),( Shipeng Xie ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2
Recently, continuous dimensional emotion recognition from audiovisual clues has attracted increasing attention in both theory and in practice. The large amount of data involved in the recognition processing decreases the efficiency of most bimodal information fusion algorithms. A novel algorithm, namely the incomplete Cholesky decomposition based kernel cross factor analysis (ICDKCFA), is presented and employed for continuous dimensional audiovisual emotion recognition, in this paper. After the ICDKCFA feature transformation, two basic fusion strategies, namely feature-level fusion and decision-level fusion, are explored to combine the transformed visual and audio features for emotion recognition. Finally, extensive experiments are conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset. The experimental results show that the ICDKCFA method has a higher speed than the original kernel cross factor analysis with the comparable performance. Moreover, the ICDKCFA method achieves a better performance than other common information fusion methods, such as the Canonical correlation analysis, kernel canonical correlation analysis and cross-modal factor analysis based fusion methods.
Multiscale Adaptive Local Directional Texture Pattern for Facial Expression Recognition
( Zhengyan Zhang ),( Jingjie Yan ),( Guanming Lu ),( Haibo Li ),( Ning Sun ),( Qi Ge ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
This work presents a novel facial descriptor, which is named as multiscale adaptive local directional texture pattern (MALDTP) and employed for expression recognition. We apply an adaptive threshold value to encode facial image in different scales, and concatenate a series of histograms based on the MALDTP to generate facial descriptor in term of Gabor filters. In addition, some dedicated experiments were conducted to evaluate the performance of the MALDTP method in a person-independent way. The experimental results demonstrate that our proposed method achieves higher recognition rate than local directional texture pattern (LDTP). Moreover, the MALDTP method has lower computational complexity, fewer storage space and higher classification accuracy than local Gabor binary pattern histogram sequence (LGBPHS) method. In a nutshell, the proposed MALDTP method can not only avoid choosing the threshold by experience but also contain much more structural and contrast information of facial image than LDTP.
Microstructure Evolution During Continuous Cooling in Niobium Microalloyed High Carbon Steels
Zhaodong Li,Qilong Yong,Zhengyan Zhang,Xinjun Sun,Jianchun Cao,Haiquan Qi,Zhi Liao 대한금속·재료학회 2014 METALS AND MATERIALS International Vol.20 No.5
Effects of microalloyed niobium (Nb) on the austenite decomposition behaviors and microstructure evolutionduring continuous cooling in the near eutectoid steels were investigated. Compared to the Nb freesteel, the Nb microalloyed steel was refined with regard to polygonal ferrite grain, pearlite block and colonysizes. This was because its austenite grain size was smaller. The volume fraction of polygonal ferrite transformedwas more in the Nb microalloyed steels, which indicated the eutectoid carbon content exceededthat of pure carbon steel. The spheroidization of pearlite during continuous cooling was enhanced by Nbmicroalloying, mainly due to a higher critical transformation temperature and the finer pearlite structurewith smaller colony size and narrower interlamellar spacing. Hot deformation right above the equilibriumeutectoid temperature accelerated the spheroidization kinetics of pearlite, especially in the Nb microalloyedsteel.
Carbon Nanotubes Grafted with Hyperbranched Triazine Compounds
Tingting Li,HONGXIA YAN,Tianye Liu,Chao Liu,Zhengyan Chen 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.1
In order to improve the dispersibility of carbon nanotubes (CNTs) in the resin matrix, CNTs grafted with hyperbranched triazine compound (HPTC–CNTs) was produced by four generations condensation reaction using cyanuric chloride and hexamethylenediamine. Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), thermogravimetric analysis (TGA), UV-Vis spectroscopy (UV-Vis) and transmission electron microscopes (TEM) were used to characterize the obtained HPTC–CNTs. The FTIR, XPS, UV-Vis and TEM analysis showed that CNTs had been successfully grafted with HPTC. The TGA showed that the content of HPTC on the surface of CNTs was about 58 wt.%. And the HPTC–CNTs had good dispersion both in water and acetone.
Physiological responses and small RNAs changes in maize under nitrogen deficiency and resupply
Zhenchao Yang,Zhengyan Wang,Chengcheng Yang,Zhao Yang,Hongquan Li,Yongjun Wu 한국유전학회 2019 Genes & Genomics Vol.41 No.10
Background Maize is an important crop in the world, nitrogen stress severely reduces maize yield. Although a large number of studies have identified the expression changes of microRNAs (miRNAs) under N stress in several species, the miRNAs expression patterns of N-deficient plants under N resupply remain unclear. Objective The primary objective of this study was to identify miRNAs in response to nitrogen stress and understand relevant physiological changes in nitrogen-deficient maize after nitrogen resupply. Methods Physiological parameters were measured to study relevant physiological changes under different nitrogen conditions. Small RNA sequencing and qRT-PCR analysis were performed to understand the response of miRNAs under different nitrogen conditions. Results The content of chlorophyll, soluble protein and nitrate nitrogen decreased than CK by 0.52, 0.49 and 0.82 times after N deficiency treatment and increased than ND by 0.52, 1.36 and 0.65 times after N resupply, respectively. Conversely, the activity of superoxide dismutase (SOD) and peroxidase (POD) increased by 0.67 and 1.64 times than CK after N deficiency, respectively, and decreased by 0.09 and 0.35 times than ND after N resupply. A total of 226 known miRNAs were identified by sRNA sequencing; 106 miRNAs were differentially expressed between the control and N-deficient groups, and 103 were differentially expressed between the N-deficient and N-resupply groups (P < 0.05). Real-time quantitative PCR (qPCR) was used to further validate and analyze the expression of the identified miRNAs. A total of 1609 target genes were identified by target prediction, and some differentially expressed miRNAs were predicted to target transcription factors and functional proteins. Gene Ontology (GO) analysis was used to determine the biological function of these targets and revealed that some miRNAs, such as miR169, miR1214, miR2199, miR398, miR408 and miR827 might be involved in nitrogen metabolism regulation. Conclusion Our study comprehensively provides important information on miRNA functions and molecular mechanisms in response to N stress. These findings may assist to improve nitrogen availability in plants.
Gao Fan,Jun LI,Zhengyan He 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.30 No.6
Inevitable response loss under complex operational conditions significantly affects the integrity and quality of measured data, leading the structural health monitoring (SHM) ineffective. To remedy the impact of data loss, a common way is to transfer the recorded response of available measure point to where the data loss occurred by establishing the response mapping from measured data. However, the current research has yet addressed the structural condition changes afterward and response mapping learning from a small sample. So, this paper proposes a novel data driven structural response reconstruction method based on a sophisticated designed generating adversarial network (UAGAN). Advanced deep learning techniques including U-shaped dense blocks, self-attention and a customized loss function are specialized and embedded in UAGAN to improve the universal and representative features extraction and generalized responses mapping establishment. In numerical validation, UAGAN efficiently and accurately captures the distinguished features of structural response from only 40 training samples of the intact structure. Besides, the established response mapping is universal, which effectively reconstructs responses of the structure suffered up to 10% random stiffness reduction or structural damage. In the experimental validation, UAGAN is trained with ambient response and applied to reconstruct response measured under earthquake. The reconstruction losses of response in the time and frequency domains reached 16% and 17%, that is better than the previous research, demonstrating the leading performance of the sophisticated designed network. In addition, the identified modal parameters from reconstructed and the corresponding true responses are highly consistent indicates that the proposed UAGAN is very potential to be applied to practical civil engineering.
Cost-Effective Fabrication of Biomorphic Mesoporous Ni-NiO Microtube for Pseudocapacitors
Binbin Chang,Hang Yin,Zhengyan Gu,Zhikun Li,Baocheng Yang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.11
In this paper, a biomorphic mesoporous Ni-NiO microtube was successfully prepared by a facile and cost-effective synthesis strategy using cotton as a biotemplate. The morphology and textural characterization of as-obtained Ni-NiO materials were analyzed by X-ray diffraction patterns, scanning electron microscopy and nitrogen adsorption–desorption technology. The results suggested the as-prepared Ni-NiO samples owned uniform micro-tubular morphology and prominent mesoporous structure. Meanwhile, the effect of annealing temperature on morphology and porosity of Ni-NiO was also investigated. The optimal sample, Ni-NiO-4, exhibited a uniform microtube morphology with an ideal mesoporous structure of a high surface area (15.8 m2 g-1) and suitable mesopore size (9.28 nm). Furthermore, these as-obtained Ni-NiO materials showed enhanced electrochemical property as electrodes for pseudocapacitors. Especially, the Ni-NiO-4 electrode displayed the outstanding capacitive performance, including a high specific capacitance of 98.7 F g-1 at 0.5 A g-1 and satisfactory rate capacity. More importantly, Ni-NiO-4 electrode owned an excellently long-term cycling stability.