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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: Wang et al. as mentioned in this paper presented an observational study on the pressure fields of tropical cyclones (TCs) at a coastal meteorological station in Hong Kong, based on 17 years' measurements from sounding balloons whose detection range covered the whole tropospheric depth.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the variation of the gust factor with wind speed and observed that for 1-min mean wind speeds between 10 and 70 m/s, the gust factors initially increased with increasing wind speed, and plateaued at wind speed between 30 and 50 m /s before exhibiting a decreasing trend until 70 m / s.

7 citations

Journal ArticleDOI
TL;DR: In this article, a trigonometric series solution for bending moments of the top slab under local distributed load and concentrated load with elastically clamped boundary conditions is presented for single-cell box girders.
Abstract: A new approach is presented for the calculation of moments on top slab in single-cell box girders. Using the classic thin plate theory, trigonometric series solutions for bending moments of the top slab under local distributed load and concentrated load with elastically clamped boundary conditions are derived. A numerical example is given to demonstrate the application of the proposed method.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reproduce a realistic thousand-meter height ABL with a wind veering phenomenon by large eddy simulation, and the simulated vertical profiles of mean wind speed and twist angle are validated against field observations.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the dynamic properties of seven supertall buildings that are currently among the world's 30 tallest are evaluated using field measurements collected during tropical cyclone events, including hurricanes and floods.
Abstract: The dynamic properties of seven supertall buildings that are currently among the world’s 30 tallest are evaluated using field measurements collected during tropical cyclone events. In this ...

7 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