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Reinforcement Analysis of Rigid Hangers for Existing Old Arch Bridges: A Case Study of Ling Bridge
Shuai Yuan,Weizhen Chen,Fan Yang,Tiantao He,Guoxian Liu 한국강구조학회 2019 International Journal of Steel Structures Vol.19 No.6
Ling Bridge, built in 1936, is an old half-through riveted steel arch bridge with rigid hangers and a fl oating deck system. The eff ects of various factors, such as temperature, vehicle load, and crowd load, have caused large additional stresses on the rigid hangers. According to the inspection in 2011, the bridge was in a dangerous state. Therefore, improving the structural strength of the bridge and prolonging the service life for another 40 years while protecting the cultural relic were major problems. This study analyzes rigid hangers on the premise that the reinforcement schemes of other bridge components have been determined. First, the damage situation, material properties and mechanical behaviors of old hangers are evaluated. Second, an appropriate reinforcement method is proposed. Third, mechanical and fatigue analyses are conducted on the new structures to prove the rationality of the reinforcement method. For the undemolished old structures, a fracture assessment of existing damage is performed to obtain the evolution laws and ensure safety. Finite element calculations and fatigue fracture analyses show that the proposed reinforcement method for the hanger system can reduce all hangers’ stresses eff ectively to prolong service life and protect the cultural relic.
Use of Word Clustering to Improve Emotion Recognition from Short Text
Shuai Yuan,Huan Huang,Linjing Wu 한국정보과학회 2016 Journal of Computing Science and Engineering Vol.10 No.4
Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and friendly human-computer interaction. An effective approach to recognizing emotion from text is based on a machine learning technique, which deals with emotion recognition as a classification problem. However, in emotion recognition, the texts involved are usually very short, leaving a very large, sparse feature space, which decreases the performance of emotion classification. This paper proposes to resolve the problem of feature sparseness, and largely improve the emotion recognition performance from short texts by doing the following: representing short texts with word cluster features, offering a novel word clustering algorithm, and using a new feature weighting scheme. Emotion classification experiments were performed with different features and weighting schemes on a publicly available dataset. The experimental results suggest that the word cluster features and the proposed weighting scheme can partly resolve problems with feature sparseness and emotion recognition performance.
Use of Word Clustering to Improve Emotion Recognition from Short Text
Yuan, Shuai,Huang, Huan,Wu, Linjing Korean Institute of Information Scientists and Eng 2016 Journal of Computing Science and Engineering Vol.10 No.4
Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and friendly human-computer interaction. An effective approach to recognizing emotion from text is based on a machine learning technique, which deals with emotion recognition as a classification problem. However, in emotion recognition, the texts involved are usually very short, leaving a very large, sparse feature space, which decreases the performance of emotion classification. This paper proposes to resolve the problem of feature sparseness, and largely improve the emotion recognition performance from short texts by doing the following: representing short texts with word cluster features, offering a novel word clustering algorithm, and using a new feature weighting scheme. Emotion classification experiments were performed with different features and weighting schemes on a publicly available dataset. The experimental results suggest that the word cluster features and the proposed weighting scheme can partly resolve problems with feature sparseness and emotion recognition performance.
Shuai Yuan,Ruofeng Wang,Qi Zhang,Yanjun Li,Peng Gao 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.7
Suspension magnetizing roasting-magnetic separation technology was used to extract iron from fine-grainedcomplex hematite ore. The effect of roasting conditions on the magnetizing roasting-magnetic separation process wasstudied. In summary, a concentrate with TFe grade of 69.96% and Fe recovery of 79.02% could be obtained under conditionsof a roasting temperature of 500 oC, roasting time was 12 min, reductant concentration of 30%, and total gasflow of 200mL/min, while TFe grade of final tailings was 5.66%. The phase composition and X-ray photoelectronspectroscopy analysis showed that hematite in the sample was transformed into magnetite during suspension magnetizationroasting. After roasting, the proportion of Fe content in the phase of the magnetite increased from 5.91% inroasting feed to 97.96% in the roasting product. Transmission electron microscopy results also confirmed that hematitewas transformed into magnetite with spinel structure, and the newly formed magnetite had good crystallinity. Scanning electron microscopy and BET analysis showed that roasting could increase the specific surface area, total porevolume, and porosity of the roasted product, which would strengthen the internal diffusion of CO and CO2 in the particles,to improve the reduction rate of hematite. The loose internal structure of roasted particles led to the decrease ofmechanical properties, which was conducive to improving the subsequent grinding efficiency.
De Peng Yuan,Xiao Feng Xu,Hong Woo-Jong,Si Ting Wang,Xin Tong Jia,Yang Liu,Shuang Li,Zhi Min Li,Qian Sun,Qiong Mei,Shuai Li,정기홍,Song Hong Wei,Yuan Hu Xuan 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.5
Sheath blight disease (ShB) severely afects rice production; however, the details of defense against ShB remain unclear. To understand the rice defense mechanism against ShB, an RNA sequencing analysis was performed using Rhizoctonia solani inoculated rice leaves after 48 h of inoculation. Among them, 3417 genes were upregulated and 2532 were downregulated when compared with the control group (>twofold or<1/2). In addition, the diferentially expressed genes were classifed via Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and MapMan analyses. Fifty-nine GO terms and seven KEGG pathways were signifcantly enriched. A MapMan analysis demonstrated that the phytohormone and metabolic pathways were signifcantly altered. Interestingly, the expression levels of 359 transcription factors, including WRKY, MYB, and NAC family members, as well as 239 transporter genes, including ABC, MFS, and SWEET, were signifcantly changed in response to R. solani AG1-IA inoculation. Additionally, OsWRKY53 and OsAKT1 negatively regulate the defense response in rice against R. solani via gain of function study for OsWRKY53 and loss of function study for OsAKT1, respectively. Furthermore, several diferentially expressed genes contain R. solani-responsive cis acting regulatory elements in their promoter regions. Taken together, our analyses provide valuable information for the additional study of the defense mechanisms against ShB, and the candidate genes identifed in this study will be useful resource for future breeding to enhance resistance against ShB.
Three-Dimensional Periodic Structured Absorber for Broadband Electromagnetic Radiation Absorption
Shuai Xie,Liancheng Zhu,Yuan Zhang,Zhijiang Ji,Jing Wang 대한금속·재료학회 2020 ELECTRONIC MATERIALS LETTERS Vol.16 No.4
This study provides a novel broadband gypsum composite for electromagnetic (EM) radiation protection by the design of 3D circular periodic structure, and using carbon black (CB) as absorbent. The EM absorption performance was investigated by arch reflecting method in 2–18 GHz, and the obtained results indicate that the proposed gypsum absorber exhibits more than 90% absorption of EM radiation in the frequency range of 2–18 GHz. The EM wave absorption can be obviously affected by the variation of CB content, periodic cylinder height and diameter. The optimum CB content is 2 wt%, simultaneously, the absorption peak can be promoted to shift to lower frequency by the increase of periodic cylinder height and the increase of periodic cylinder diameter is beneficial to widen the effective bandwidth. The λ/4 interference of reflected waves, energy dissipation of CB particles, and multi-reflection, resonance, edge diffractions, and impedance matching caused by 3D periodic structural design work synergistically to achieve the high EM absorption efficiency and wide frequency band. It is expected that the proposed 3D circular periodic structured gypsum absorber has great potential in indoor EM radiation prevent.
Yuan, Yong-cai,Li, Shu-cai,Zhang, Qian-qing,Li, Li-ping,Shi, Shao-shuai,Zhou, Zong-qing Techno-Press 2016 Geomechanics & engineering Vol.11 No.4
A modified grey clustering method is presented to systematically evaluate the risk of water inrush in karst tunnels. Based on the center triangle whitenization weight function and upper and lower limit measure whitenization weight function, the modified grey evaluation model doesn't have the crossing properties of grey cluster and meets the standard well. By adsorbing and integrating the previous research results, seven influence factors are selected as evaluation indexes. A couple of evaluation indexes are modified and quantitatively graded according to four risk grades through expert evaluation method. The weights of evaluation indexes are rationally distributed by the comprehensive assignment method. It is integrated by the subjective factors and the objective factors. Subjective weight is given based on analytical hierarchy process, and objective weight obtained from simple dependent function. The modified grey evaluation model is validated by Jigongling Tunnel. Finally, the water inrush risk of Shangjiawan Tunnel is evaluated by using the established model, and the evaluation result obtained from the proposed method is agrees well with practical situation. This risk assessment methodology provides a powerful tool with which planners and engineers can systematically assess the risk of water inrush in karst tunnels.