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113 results on '"Liang, Qianhui"'

1. Uncovering Dominant Social Class in Neighborhoods through Building Footprints: A Case Study of Residential Zones in Massachusetts using Computer Vision

Author

Liang, Qianhui and Wang, Zhoutong

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society
Abstract

In urban theory, urban form is related to social and economic status. This paper explores to uncover zip-code level income through urban form by analyzing figure-ground map, a simple, prevailing and precise representation of urban form in the field of urban study. Deep learning in computer vision enables such representation maps to be studied at a large scale. We propose to train a DCNN model to identify and uncover the internal bridge between social class and urban form. Further, using hand-crafted informative visual features related with urban form properties (building size, building density, etc.), we apply a random forest classifier to interpret how morphological properties are related with social class., Comment: Publishing as conference proceeding of 16th International Conference on Computers in Urban Planning and Urban Management

Published
2019

2. Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations

Author

Wang, Zhoutong, Liang, Qianhui, Duarte, Fabio, Zhang, Fan, Charron, Louis, Johnsen, Lenna, Cai, Bill, and Ratti, Carlo

Subjects
Computer Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition
Abstract

Legibility is the extent to which a space can be easily recognized. Evaluating legibility is particularly desirable in indoor spaces, since it has a large impact on human behavior and the efficiency of space utilization. However, indoor space legibility has only been studied through survey and trivial simulations and lacks reliable quantitative measurement. We utilized a Deep Convolutional Neural Network (DCNN), which is structurally similar to a human perception system, to model legibility in indoor spaces. To implement the modeling of legibility for any indoor spaces, we designed an end-to-end processing pipeline from indoor data retrieving to model training to spatial legibility analysis. Although the model performed very well (98% top-1 accuracy) overall, there are still discrepancies in accuracy among different spaces, reflecting legibility differences. To prove the validity of the pipeline, we deployed a survey on Amazon Mechanical Turk, collecting 4,015 samples. The human samples showed a similar behavior pattern and mechanism as the DCNN models. Further, we used model results to visually explain legibility in different architectural programs, building age, building style, visual clusterings of spaces and visual explanations for building age and architectural functions., Comment: 20 pages, 19 figures, 7 tables

Published
2019
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3. Difficulty Within Deep Learning Object-Recognition Due to Object Variance

Author

Liang, Qianhui Althea, Wan, Tai Fong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Haiqin, editor, Pasupa, Kitsuchart, editor, Leung, Andrew Chi-Sing, editor, Kwok, James T., editor, Chan, Jonathan H., editor, and King, Irwin, editor

Published
2020
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6. Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams

Author

Li, Peipei, Wu, Xindong, Liang, Qianhui, Hu, Xuegang, Zhang, Yuhong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Huang, Joshua Zhexue, editor, Cao, Longbing, editor, and Srivastava, Jaideep, editor

Published
2011
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7. Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees

Author

Li, Peipei, Hu, Xuegang, Liang, Qianhui, Gao, Yunjun, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, and Perner, Petra, editor

Published
2009
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8. Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data

Author

Li, Peipei, Liang, Qianhui, Wu, Xindong, Hu, Xuegang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Theeramunkong, Thanaruk, editor, Kijsirikul, Boonserm, editor, Cercone, Nick, editor, and Ho, Tu-Bao, editor

Published
2009
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9. Ontology-Based Compatibility Checking for Web Service Configuration Management

Author

Liang, Qianhui, Huhns, Michael N., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bouguettaya, Athman, editor, Krueger, Ingolf, editor, and Margaria, Tiziana, editor

Published
2008
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27. Responses of nutrient elements of two grasses to the decline of soil thickness and/or water under different planting patterns

Author

李周 Li Zhou, 宋海燕 Song Haiyan, 梁千慧 Liang Qianhui, 李素慧 Li Suhui, 张静 Zhang Jing, 刘锦春 Liu Jinchun, and 赵雅洁 Zhao Yajie

Subjects
Nutrient, Ecology, Agronomy, 020209 energy, 0202 electrical engineering, electronic engineering, information engineering, Sowing, Environmental science, 02 engineering and technology, Ecology, Evolution, Behavior and Systematics
Published
2018

33. A rule-based approach for availability of service by automated service substitution

Author

Liang, Qianhui, Lee, Bu-Sung, Hung, Patrick C. K., and School of Computer Engineering

Subjects
Engineering::Computer science and engineering [DRNTU]
Abstract

High availability of software components has long been studied. For a software system, when unavailability of a component has caused a suspension of the system, the system has to be recovered or resumed as soon as possible. To substitute an unavailable software component with a backup copy is therefore unavoidable in achieving high availability of software systems. In this paper, in comparison with using redundancies, we take an alternative approach that steps away from the physical code equivalence of the software but focuses more on the equivalence in using the function unit without concerning about the implementation itself. We investigate the problem of Web service availability in service-oriented software systems and then report a framework for Web service availability in such systems using automated and rule-based Web service substitution. The framework takes a novel approach to manage the runtime replacement of services, combining (i) an approach that classifies services using co-occurrence of terms in various tags of the service descriptions, (ii) an approach to establish the compatibility and substitution of service operation interfaces and (iii) a middleware for handling service replacements. Our approach is designed to address the problem of Web service availability from the client side and assumes that the client has no control of the Web service providers. This is a completely distributed approach in comparison with other related work and presents a valuable benefit of client orientation. As two additional distinguishing characteristics, our framework also meets the challenges of (i) semantic heterogeneity of Web services in identifying substitute service and (ii) transparency and independence in handling unavailability at the level of Web services. We show in our experiments that the service substitute identification based on the proposed framework achieves a best precision of 85%. We demonstrate our implementation of the middleware for service unavailability handling in the framework. We also present experiments on service substitution within a demo business application in the presence of unavailability.

Published
2012

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