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Qiusheng Li

Bio: Qiusheng Li is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Wind speed & Wind tunnel. The author has an hindex of 47, co-authored 429 publications receiving 8830 citations. Previous affiliations of Qiusheng Li include Chinese Ministry of Education & Guangzhou University.


Papers
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Journal ArticleDOI
TL;DR: Guangdong International Building has a height of approximately 200 m with 63 stories and the amplitude-dependent characteristics of damping obtained by the random decrement technique are presented and discussed in this paper, where a series of wind tunnel tests are conducted to determine the spectral model of across-wind force on rectangular tall buildings with various side and aspect ratios.

90 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the field measurement results of wind characteristics and structural responses of two super tall buildings, Central Plaza Tower (374m, 78 floors) in Hong Kong and Di Wang Tower (384 m, 78 feet) in Shenzhen during the passage of Typhoon Sally.

89 citations

Journal ArticleDOI
TL;DR: In this article, the results from a combined wind tunnel and full-scale study of wind effects on the super tall building were presented and discussed, and a detailed comparative study was conducted to investigate the influences of incident wind direction, upstream terrain conditions, and interferences from the surroundings on the wind effect on the building.

87 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper performed a 1:150 scaled wind tunnel testing to experimentally assess the wind speed amplification effects inside the four openings of the Pearl River Tower, a 71-storey tall building in Guangzhou, China.

84 citations

Journal ArticleDOI
TL;DR: In this article, a typhoon wind hazard analysis for 11 major cities, Shanghai, Ningbo, Wenzhou, Fuzhou, Xiamen, Taipei, Guangzhou, Shenzhen, Hong Kong, Zhanjiang, and Haikou, in the southeast China coastal regions, is conducted for the first time.

84 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

Book ChapterDOI
11 Dec 2012

1,704 citations

Journal ArticleDOI

1,604 citations

01 Mar 1995
TL;DR: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series and results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages.
Abstract: : This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series. Two approaches to feature selection are used. First, a subset enumeration method is used to determine which financial indicators are most useful for aiding in prediction of the S&P 500 futures daily price. The candidate indicators evaluated include RSI, Stochastics and several moving averages. Results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages. The second approach to feature selection is calculation of individual saliency metrics. A new decision boundary-based individual saliency metric, and a classifier independent saliency metric are developed and tested. Ruck's saliency metric, the decision boundary based saliency metric, and the classifier independent saliency metric are compared for a data set consisting of the RSI and Stochastics indicators as well as delayed closing price values. The decision based metric and the Ruck metric results are similar, but the classifier independent metric agrees with neither of the other metrics. The nine most salient features, determined by the decision boundary based metric, are used to train a neural network and the results are presented and compared to other published results. (AN)

1,545 citations