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Institution

Ocean University of China

EducationQingdao, China
About: Ocean University of China is a education organization based out in Qingdao, China. It is known for research contribution in the topics: Population & Sea surface temperature. The organization has 27604 authors who have published 27886 publications receiving 440181 citations. The organization is also known as: Zhōngguó Hǎiyáng Dàxué & OUC.


Papers
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Journal ArticleDOI
Shuwei Xia1, Meng Qiu1, Liangmin Yu1, Fuguo Liu1, Haizhou Zhao1 
TL;DR: In this paper, the adsorption behavior of the two imidazoline derivatives on Fe surface has been studied using molecular dynamics (MD) method and density functional theory, and the results indicated that the two derivatives could both adsorb on the Fe surface firmly through the IMD ring and heteroatoms, the two inhibitors both have excellent corrosion inhibition performance.

283 citations

Journal ArticleDOI
TL;DR: This review discusses mainly the studies and applications about species, effects, mechanisms, problems and prospect of probiotics used in aquaculture of China, and highlighted several effective evaluation methods to control the quality of commercial probiotic products.

282 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the changing pattern of accretion and erosion of the modern Yellow River subaerial delta with GIS tools from 1976 to 2000, totaling twenty scenes, and found that the maximum erosion occurred at the head of the last two abandoned promontories, where the coastline retreated landward over − −7 and − 4.5 km, respectively, with mean net erosion rates of − 0.29 and −0.19 km/a, respectively.

281 citations

Journal ArticleDOI
TL;DR: The cobia demonstrated a high capacity to utilize phosphorus in the ingredients, and the protein and lipid from both plant and animal sources were well digested by cobia.

280 citations

Journal ArticleDOI
TL;DR: The Panoptic Studio system and method are the first in reconstructing full body motion of more than five people engaged in social interactions without using markers, and empirically demonstrate the impact of the number of views in achieving this goal.
Abstract: We present an approach to capture the 3D motion of a group of people engaged in a social interaction. The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space large enough to host a social group; (3) human appearance and configuration variation is immense; and (4) attaching markers to the body may prime the nature of interactions. The Panoptic Studio is a system organized around the thesis that social interactions should be measured through the integration of perceptual analyses over a large variety of view points. We present a modularized system designed around this principle, consisting of integrated structural, hardware, and software innovations. The system takes, as input, 480 synchronized video streams of multiple people engaged in social activities, and produces, as output, the labeled time-varying 3D structure of anatomical landmarks on individuals in the space. Our algorithm is designed to fuse the “weak” perceptual processes in the large number of views by progressively generating skeletal proposals from low-level appearance cues, and a framework for temporal refinement is also presented by associating body parts to reconstructed dense 3D trajectory stream. Our system and method are the first in reconstructing full body motion of more than five people engaged in social interactions without using markers. We also empirically demonstrate the impact of the number of views in achieving this goal.

279 citations


Authors

Showing all 27836 results

NameH-indexPapersCitations
Guangming Zeng1461676100743
Bin Wang126222674364
Simon A. Wilde11839045547
Yusuke Yamauchi117100051685
Xiaoming Li113193272445
Baoshan Xing10982348944
Peng Wang108167254529
Jun Yang107209055257
Shang-Ping Xie10544136437
M. Santosh103134449846
Qi Li102156346762
Wei Liu102292765228
Tao Wang97272055280
Wei Wang95354459660
Peng Li95154845198
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023103
2022515
20213,161
20202,814
20192,480
20182,068