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 : Qingzhen Yang (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Qingzhen Yang,Jingping Rao,Shunchao Yi,Kun Meng,Jianfeng Wu,Yali Hou 한국원예학회 2012 Horticulture, Environment, and Biotechnology Vol.53 No.6
Kiwifruits (Actinidia chinensis cv. Hongyang) were treated by direct cooling and gradual cooling to investigate the effect of cooling treatment on chilling injury. The direct cooling fruits were immediately cooled at 0℃ after harvest. The gradual cooling fruits were held for 3 days at 5℃ (from 5℃ to 0℃), or for 7 days at 2℃(from 2℃ to 0℃), or decreased in temperature from 15℃ to 5℃ by 5℃ at 1 days intervals and then maintained at 5℃ for 3 days plus a subsequent period of of 7 days at 2℃ (from 15℃ to 0℃). After the above treatments, then those fruit were stored at 0 ± 0.5℃, 90% to 95% RH for 80 days. Gradual cooling (from 15℃ to 0℃) significantly maintained higher percentage of accepted fruit and lower chilling injury index and chilling injury incidence of fruit compared with the direct cooling. Some attributes were then assayed in the fruits treated with gradual cooling (from 15℃ to 0℃). Gradual cooling (from 15℃ to 0℃) inhibited increases in membrane permeability, malondialdehyde content, superoxide anion production rate, and H2O2 content. At the same time, fruit cooled gradually (from 15℃ to 0℃) exhibited higher superoxide dismutase, catalase, ascorbate peroxidase, and peroxidase activities than those treated by direct cooling during storage. The present study indicated that enhancement in antioxidant enzyme activity may be attributed to the reduction in CI symptoms by the gradual cooling treatment (from 15℃ to 0℃).
-
PLI-VIO: Real-time Monocular Visual-inertial Odometry Using Point and Line Interrelated Features
Jiahui Zhang,Qingzhen Shang,Jinfu Yang,Mingai Li 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.6
As a popular technology, visual-inertial odometry (VIO) has been widely applied in many fields such as autonomous robots and unmanned aerial vehicle (UAV). However, the trade-off between localization accuracy and real-time performance still needs to be optimized. This paper presents a real-time tightly-coupled monocular VIO system using point and line interrelated features (PLI-VIO) under the sliding window optimization framework. In line feature extraction part of PLI-VIO, a line segment extraction and coalescence algorithm based on EDlines is proposed, which extracts line features in real-time without concession on feature quality. At the same time, in order to get efficient and robust line tracking effect, PLI-VIO presents a line-to-point tracking method that fully utilizes the interrelation between point and line. Specifically, line features are divided as a group of points and tracked by pyramidal implementation of Lucas Kanade feature tracker. The proposed line feature tracking method can effectively reduce time consumption on tracking process in a robust way. Extensive evaluations on Euroc and TUM-VI public datasets are performed to demonstrate the preferable performance of our proposed system, and the results show that PLI-VIO obtains better localization accuracy with less computation cost compared against other state-of-the-art VIO algorithms.
-
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.
-
Yanxia Chen,Xuedong Liu,Xiaoguang Yang,Yuhui Liu,Xiaomeng Pi,Qingzhen Liu,Dong Zheng 한국유전학회 2015 Genes & Genomics Vol.37 No.5
Deer antlers are the only mammalian appendages subject to an annual cycle of epimorphic regeneration. Within the rapid-growth stage, they display the fastest cartilage development in the animal kingdom. To identify microRNA (miRNA) profiling in red deer (Cervus elaphus) antler cartilage, we applied deep sequencing technology to a small RNA library constructed from pooled cartilage (three antlers from three individuals). We generated 9,520,645 mappable reads with a size distribution of between 15 and 30 nucleotides (miRNAs of 18 nucleotides were the most abundant group: 31 %). Bioinformatics data mining revealed 399 miRNAs in antler cartilage, of which 345 were highly conserved and expressed in 25 other mammals, including the cattle (Bos taurus) and in humans (Homo sapiens). The remaining 54 miRNAs we identified were novel and likely to be antler-cartilage specific, but were expressed at low levels. The identification of these known and newly identified miRNAs in antler cartilage significantly enhances our understanding of the miRNA profiling of regenerating antler cartilage. Further studies are necessary to better understand miRNAs-regulated antlerogenesis.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
