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4篇 您的检索式:作者名="Yantong Guo"
    题名 作者 年代 出处 被引量
13D face registration based on principal axis analysis and labeled regions orientation显示文摘A novel multi-view 3D face registration method based on principal axis analysis and labeled regions orientation called local orientation registration is proposed.The pre-registration is achieved by transforming the multi-pose models to the standard frontal model's reference frame using the principal axis analysis algorithm.Some significant feature regions, such as inner and outer canthus, nose tip vertices, are then located by using geometrical distribution characteristics.These regions are subsequently employed to compute the conversion parameters using the improved iterative closest point algorithm, and the optimal parameters are applied to complete the final registration.Experimental results implemented on the proper database demonstrate that the proposed method significantly outperforms others by achieving 1.249 and 1.910 mean root-mean-square measure with slight and large view variation models, respectively.Guo Zhe Zhang Yanning Lin Zenggang Liu Yantong 2009Journal of Systems Engineering and Electronics2009,20,6:0
2Stable partial nitritation of mature landfill leachate in a continuous flow bioreactor:Long-term performance,microbial community evolution,and mechanisms显示文摘A continuous flow bioreactor was operated for 300 days to investigate partial nitritation(PN)of mature landfill leachate,establishing the long-term performance of the system in terms of the microbial community composition,evolution,and interactions.The stable operation phase(31-300 d)began after a 30 days of start-up period,reaching an average nitrite accumulation ratio(NAR)of 94.43%and a ratio of nitrite nitrogen to ammonia nitrogen(NO_(2)^(−)-N/NH_(4)^(+)-N)of 1.16.Some fulvic-like and humic-like compounds and proteins were effectively degraded in anaerobic and anoxic tanks,which was consistent with the corresponding abundance of methanogens and syntrophic bacteria in the anaerobic tank,and organic matter degrading bacteria in the anoxic tank.The ammonia-oxidizing bacteria(AOB)Nitrosomonas was found to be the key functional bacteria,exhibiting an increase in abundance from 0.27%to 6.38%,due to its collaborative interactions with organic matter degrading bacteria.In-situ inhibition of nitrite-oxidizing bacteria(NOB)was achieved using a combination of free ammonia(FA)and free nitrous acid(FNA),low dissolved oxygen(DO)with fewer bioavailable organics conditions were employed to maintain stable PN and a specific ratio of NO_(2)^(−)-N/NH_(4)^(+)-N,without an adverse impact on AOB.The synergistic relationships between AOB and both denitrifying bacteria and organic matter degrading bacteria,were found to contribute to the enhanced PN performance and microbial community structure stability.These findings provide a theoretical guidance for the effective application of PN-Anammox for mature landfill leachate treatment.Xiaoling Hu Jianyang Song Yantong Ji Chaojing Li Jia Wei Wanlin Lyu Bin Wang Wenbin Guo Rongfan Chen Hongyu Wang Dao Zhou Qian Zhang 2023Chinese Chemical Letters2023,34,11:0
3Social Security audit integration path analysis显示文摘Guo Yantong 2015International English Education Research2015,,6:0
4Crystalline covalent triazine frameworks manipulated by aliphatic amine modulator显示文摘Crystallization is an unsolved challenge in the chemistry of covalent triazine frameworks(CTFs) due to the poorly controlled simultaneous polymerization and crystallization processes. Herein, the synthesis of crystalline CTFs via the introduction of aliphatic amine as a dynamic modulator is reported. By optimizing the amount of aliphatic amine, the crystallization process can be controlled in an open system, resulting in the synthesis of crystalline CTFs. These crystalline CTFs exhibit much better photocatalytic hydrogen evolution performance, with highly ordered CTF-1-C3 demonstrating superior performance(10 mmol g^(-1)h^(-1)) compared with most reported CTF-1. This approach also allows for the preparation of various crystalline CTFs.Xunliang Hu Yantong Guo Ruixue Sun Xiaoyan Wang Bien Tan 2023Science China Chemistry2023,66,9:0
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