http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Spatial Orientation of Indoor Fire Ignition Based on Monocular Vision and Virtual Scene
Yakun Xie,Jun Zhu,Yukun Guo,Dejun Feng,Dejun Feng 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
The spatial orientation of fire ignition can support an automatic fire suppression system (AFSS). However, due to the ambiguity of 2D images, most of the existing methods tend to study fire detection and cannot carry out spatial orientation. To solve this problem, we propose a spatial orientation method of indoor fire ignition based on monocular vision and virtual scenes. First, a hierarchical virtual scene construction method is proposed to realize the rapid construction of indoor scenes. Second, the characteristics of the fire are analyzed to obtain fire ignition in a 2D image. Finally, the spatial orientation of indoor fire ignition is calculated by analyzing the characteristics of fire attachment and the principle of three-dimensional imaging. The experimental results show that the absolute error of the spatial orientation of our method is 10.27 cm, and the relative error is 4.08%, which can meet the needs of AFSS.
Mixture copulas with discrete margins and their application to imbalanced data
Liu Yujian,Xie Dejun,Edwards David A.,Yu Siyi 한국통계학회 2023 Journal of the Korean Statistical Society Vol.52 No.4
This article introduces the approach of using Bayesian sampling to estimate the mixture copula with discrete margins, we further apply our models to solve the class imbalanced problems in data science by oversampling. The methodology makes it possible to learn and sample from the data set with the discrete and continuous features exists simultaneously. On the other hand, the discreetness of factors in a data set are not naturally considered for the classic SMOTE algorithm and classic random oversampling is simply performed by generating the already existing points, which do not give any new information to the classifiers and is easy to overfit. Copula methods enable us to generate new points with the correlation structure memorized by learning from the training set. Hence, the overfitting problems are reduced. Experiments with synthetic and real data are done in the article following the introduction of the methodology. The outcomes shows the validity of the approach when compared with the benchmark methods.
The enhancement of oxygen sensitivity of ZnO macropore film by functionalizing with azo pigment
Peng, Liang,Zhai, Jiali,Wang, Dejun,Zhang, Yu,Zhao, Qidong,Wang, Ping,Pang, Shan,Fan, Zhiyong,Xie, Tengfeng Korean Society of Photoscience 2009 Photochemical & photobiological sciences Vol.8 No.6
Azo-ZnO hybrid films were prepared by functionalizing the ZnO macropore films with azo pigment (1,1'-(biphenyl-4,4'-diylbis(diazene-2,1-diyl))dinaphthalen-2-ol). Scanning electronic microscopy, current-voltage, UV-Vis absorption spectroscopy and Kelvin probe were used to characterize these films. The oxygen sensing characteristics of hybrid films and pure ZnO film were measured under the irradiation of UV light. The results show that the sensitivity of hybrid film is about 500 times higher than that of pure ZnO film. The high sensitivity to oxygen of hybrid films is mainly attributed to the increasing of the photo-generated electron concentration. Enhanced photo-induced charge separation after functionalization is confirmed by the pattern of transient photovoltage. Our results demonstrate that the functionalization with azo pigment is a promising approach to enhance the oxygen sensitivity of ZnO under the irradiation of UV light.