http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Shuang Qiao Yang (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Two-Stream Convolutional Neural Network for Video Action Recognition
( Han Qiao ),( Shuang Liu ),( Qingzhen Xu ),( Shouqiang Liu ),( Wanggan Yang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10
Video action recognition is widely used in video surveillance, behavior detection, human-computer interaction, medically assisted diagnosis and motion analysis. However, video action recognition can be disturbed by many factors, such as background, illumination and so on. Two-stream convolutional neural network uses the video spatial and temporal models to train separately, and performs fusion at the output end. The multi segment Two-Stream convolutional neural network model trains temporal and spatial information from the video to extract their feature and fuse them, then determine the category of video action. Google Xception model and the transfer learning is adopted in this paper, and the Xception model which trained on ImageNet is used as the initial weight. It greatly overcomes the problem of model underfitting caused by insufficient video behavior dataset, and it can effectively reduce the influence of various factors in the video. This way also greatly improves the accuracy and reduces the training time. What’s more, to make up for the shortage of dataset, the kinetics400 dataset was used for pre-training, which greatly improved the accuracy of the model. In this applied research, through continuous efforts, the expected goal is basically achieved, and according to the study and research, the design of the original dual-flow model is improved.
-
Orthogonal 방법을 통한 Poly(AM-DMDAAC)/MMT 고흡수성나노복합체 제조 연구
Jun Dong Yuan,Ming Zhou,Shuang Qiao Yang,Yong Guo Zhou,Nan Qin,Song Tao He,Dong Lai,Zhong Qiang Xie 한국고분자학회 2014 폴리머 Vol.38 No.1
A novel poly(AM-DMDAAC)/MMT superabsorbent nanocomposites are prepared by radical polymerizationusing ammonium persulfate (APS) and anhydrous sodium sulfite as a free radical initiator and N,N-methylene bisacrylamide(MBA) as a crosslinker. In this paper, an optimization study on the synthesis of superabsorbent nanocompositesis carried out. Orthogonal array experiment indicates that the optimized conditions is acrylamide (AM) content 23 wt%,diallyl dimethyl ammonium chloride (DMDAAAC) content 6 wt%, montmorillonite (MMT) content 4 wt%, initiatorcontent 0.2 wt% and crosslinker content 0.02 wt%. Under the optimization syntheses conditions concluded, the maximumwater absorbency in distilled water is 659.53 g·g-1 and in 2 wt% sodium chloride solution is 116.25 g·g-1. Compared withthe range values of different factors (Rj), the order of significance factors in distilled water is C (MMT) > B (DMDAAC)> A (AM) > D (crosslinker) > E (initiator). MMT is intercalated during polymerization reaction and a nanocompositestructure is formed as shown by TEM analysis and XRD analysis.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
