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- 저자 : Guozhong Wu (검색결과 4 건)
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Risk Analysis Model of Automobile Defect Based on Weibull
Guozhong Huang,Wu Lin,Qingyuan Niu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.1
Currently, from the statistical analysis of accidents at home and abroad, the number of automobile defects and the resulting automobile accidents are very large. Obviously, the automobile defects have become one of the main factors affecting traffic safety, and risk assessment as an automobile key technical defect of risk management, the elimination of defects and reduce automobile accidents are of great significance. Through statistical study of automobile defect recall, this paper analyzes the automobile defects and its risk characteristics and the event tree analysis (ETA) method was introduced to determine the risk flow route of automobile defects. Based on thousands of automobile breakdown cases for risk probability forecast, this paper proposes a three-dimensional matrix risk assessment model of automobile defect. According to the dispersibility of automobile, a risk forecast method based on the Weibull distribution is established. The results indicate that on gathering actual failure data from after-sales service, the Weibull distribution model has a favorable applicability for forecasting risk possibility, and then apply it to auto defect in three-dimensional matrix model so as to get the overall risk level of defect automobile.
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Measurement and Analysis of Burst Topic in Microblog
Guozhong Dong,Xin Zou,Wei Wang,Yaxue Hu,Guowei Shen,Korawit Orkphol,Wu Yang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2
Microblog provides the first communication platform for burst event due to the immediacy and interactivity of microblog. In this paper, we research on user-oriented and message-oriented measurements of burst topic in Sina microblog. The measurements and analysis on large-scale Sina microblog data set show that our proposed measurement method can measure the characteristics of user and message propagation in burst topic. The measurement results in this paper can describe the formation and diffusion mechanism of burst topic which will contribute to better research of relevant issues on burst topic and ensure the well-developed of microblog.
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Industrial test on coal re-burning at a 600MW utility boiler and NOx reduction
Penghua Qiu,Shaohua Wu,Shaozeng Sun,Hui Liu,Longbin Yang,Guozhong Wang 한국화학공학회 2007 Korean Journal of Chemical Engineering Vol.24 No.4
research conducts a series of industrial tests on coal reburning of a 600 MW pulverized coal boilerfiring lignite, which is one part of a coal reburning demonstration project. When running steadily under 60 MW load,the boiler has an average NOx emission of 274 mg/m3 (O2 content in flue gas is converted to 6% ), the NOx emissionis reduced by 65.36% . In the meanwhile, loss of ignition (LOI) under coal reburning rarely increases. Three operationconditions - traditional air feeding, air staging and coal reburning - are realized, respectively, during the industrial tests,and the results indicate that coal reburning has the lowest NOx emission, while the traditional air feeding has the highestNOx x controlcan reach.
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Jiangtao Hu,Qianhong Gao,Lu Xu,Minglei Wang,Maojiang Zhang,Kuo Zhang,Xiaojing Guo,Weihua Liu,Guozhong Wu 한국섬유공학회 2018 Fibers and polymers Vol.19 No.7
Herein we report a simple and reproducible method for fabricating highly durable and robust superhydrophobic and superoleophilic cotton fabrics via simultaneous radiation-induced graft polymerization of glycidyl methacrylate and subsequent chemical modifications with aminopropyltriethoxysilane and hexamethyldisilazane. The chemical structure and the surface topography of the pristine and the modified cotton fabrics were investigated in detail by ATR-FTIR, XPS, and 29Si NMR, and a grafting layer was successfully immobilized onto the surface of the cotton fabric by forming covalent bonds. Multi-dimensional surface roughness was created by combining micro-sized fibers of the cotton fabric, nanoscaled protuberances of the grafting chain, and molecular level spherical projection points of silicon methyl. The superhydrophobic cotton fabric exhibited long-term stability, ultra-high durability and robustness, and maintained its properties even after 25 wash cycles. The fabric also showed excellent water repellency with a water contact angle of 153 o and a high efficiency of oil/water separation (98 %). The superhydrophobic/superoleophilic cotton fabric developed in the present work exhibits important potential applications in superhydrophobic textiles and oil/water separation.
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