Bingquan Huang

Bingquan Huang

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37
Publications
14,703
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1,287
Citations

Publications

Publications (37)
Conference Paper
Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn prediction is necessary and valuable to retain the customers and reduce the losses. Recently rule-based classification methods designed transparently interpreting the classification results are pr...
Conference Paper
Full-text available
The paper is focused on key points and lessons learned from LRFD calibration of simple limit state functions for the internal stability of metallic reinforced soil walls. The example used in the paper is the ultimate pullout limit state for ribbed steel strip reinforced mechanical stabilized earth (MSE) walls and a single load due to soil self-weig...
Article
Full-text available
Abstract: The results of load and resistance factor design (LRFD) calibration are reported for the pullout limit state in geogrid reinforced soil walls under self-weight loading and permanent uniform surcharge. Bias statistics are used to account for the prediction accuracy of the underlying deterministic models for load and pullout capacity and th...
Article
Full-text available
Abstract: The paper reports the results of load and resistance factor design (LRFD) calibration for pullout and yield limit states for steel strip reinforced soil walls under self-weight loading. An important feature of the calibration method is the use of bias statistics to account for prediction accuracy of the underlying deterministic models for...
Article
Full-text available
ABSTRACT: Load and resistance factor design (LRFD) is now recommended in North American design codes for reinforced-soil structures, including internal stability limit states. The selection of load and resistance factors that appear in limit state equations is best carried out using reliabilitybased analysis. In this paper the conventional approach...
Article
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc. Then the seven prediction techniques (Logistic Regressions,...
Article
Full-text available
This paper reports the results of load and resistance factor design (LRFD) calibration for pullout and yield limit states for steel grid reinforced soil walls owing to soil self-weight loading plus permanent uniform surcharge. The calibration method uses bias statistics to account for prediction accuracy of the underlying deterministic models for r...
Article
North American design codes are now committed to the development of load and resistance factor design (LRFD) for reinforced soil structures including internal stability limit states. Reliability-based analysis is required to carry out these calibrations. A framework for LRFD calibration has been proposed by the writers that requires bias statistics...
Conference Paper
Rule-based classification methods, which provide the interpretation of a classification, are very useful in churn prediction. However, most of the rule-based methods are not able to provide the prediction probability which is helpful for evaluating customers. This paper proposes a rule induction based classification algorithm, called CRL. CRL appli...
Article
There is little literature to introduce the approaches for the feature selection, which plays an important role in the customer churn prediction. In addition, due to the imbalanced data classification problem occurring, most of the traditional approaches ineffectively select the important features for the churn prediction. This paper proposes a new...
Conference Paper
Failure to identify potential churners affects significantly a company revenues and services that can provide. Imbalance distribution of instances between churners and non-churners and the size of customer dataset are the concerns when building a churn prediction model. This paper presents a local PCA classifier approach to avoid these problems by...
Conference Paper
Imbalance distribution of samples between churners and non-churners can hugely affect churn prediction results in telecommunication services field. One method to solve this is over-sampling approach by PCA regression. However, PCA regression may not generate good churn samples if a dataset is nonlinear discriminant. We employed Genetic K-means Algo...
Article
We focus on the method of image registration and fusion and introduce all kinds of existing registration and fusion algorithm based on lifting wavelet in detail in this paper. Based on the characteristics of the infrared and visible images, this paper presents a registration approach using lifting wavelet transform to extract edge feature points, a...
Conference Paper
The customer churn problem affects hugely the telecommunication services in particular, and businesses in general. Note that in majority of cases the number of potential customer churn is much smaller than the non-churners. Therefore, the imbalance distribution of samples between churners and non-churners is a concern when building a churn predicti...
Article
Full-text available
A verified fast Lagrangian analysis of continua (FLAC) numerical model is used to investigate the influence of horizontal toe stiffness on the performance of reinforced soil segmental retaining walls under working stress (operational) conditions. Results of full-scale shear testing of the interface between the bottom of a typical modular block and...
Article
This paper proposes a new multiobjective feature selection approach for churn prediction in telecommunication service field, based on the optimisation approach NSGA-II. The basic idea of this approach is to modify the approach NSGA-II to select local feature subsets of various sizes, and then to use the method of searching nondominated solutions to...
Article
In order to improve the prediction rates of churn prediction in land-line telecommunication service field, this paper proposes a new set of features with three new input window techniques. The new features are demographic profiles, account information, grant information, Henley segmentation, aggregated call-details, line information, service orders...
Article
Full-text available
ABSTRACT: A test protocol for the quantification of creep between modular block (segmental) facing units and geosynthetic reinforcement can be found in a Federal Highway Administration guidance document first published in 2001. However, to date the utility of the proposed method has not been examined in a systematic manner nor have test results bee...
Article
In order to improve the prediction rates of churn prediction in land-line telecommunication service field, this paper proposes a new set of features with three new input window techniques. The new features are demographic profiles, account information, grant information, Henley segmentation, aggregated call-details, line information, service orders...
Article
Full-text available
ABSTRACT: The accuracy of the current Federal Highway Administration (FHWA) in-soil geogrid pullout model was examined using a statistical approach applied to a large database of pullout test results. The accuracy of data interpretation and model type was quantified using the mean and coefficient of variation (COV) of model bias values and possible...
Article
Full-text available
A numerical finite-difference method FLAC model was used to investigate the influence of constitutive soil model on predicted response of two full-scale reinforced soil walls during construction and surcharge loading. One wall was reinforced with a relatively extensible polymeric geogrid and the other with a relatively stiff welded wire mesh. The b...
Conference Paper
Although churn prediction has been an area of research in the voice branch of telecommunications services, more focused studies on the huge growth area of Broadband Internet services are limited. Therefore, this paper presents a new set of features for broadband Internet customer churn prediction, based on Henley segments, the broadband usage, dial...
Article
Full-text available
Linear Principal Components Analysis (LPCA) is known for its simplicity to reduce the features dimen-sionality. An extension of LPCA, Kernel Principal Components Analysis (KPCA), outperforms LPCA when applied on non-linear data in high dimensional feature space. However, on large datasets with high input space, KPCA deals with a memory issue and im...
Chapter
As a general first step in a recognition system, preprocessing plays a very important role and can directly affect the recognition performance. This Chapter proposes a new preprocessing technique for online handwriting. The approach is to first remove the hooks of the strokes by using changed-angle threshold with length threshold, then filter the n...
Article
It has been generally observed that the measured preconsolidation pressure values for glaciated soils are not compatible with the measured effective pressure values at the bed of the glacier if one-dimensional consolidation alone is considered as the formation process for these soils. In this paper, a new model for the process of formation of glaci...
Conference Paper
Many feature selection models have been proposed for online handwriting recognition. However, most of them require expensive computational overhead, or inaccurately find an improper feature set which leads to unacceptable recognition rates. This paper presents a new efficient feature selection model for handwriting symbol recognition by using an im...
Article
Full-text available
this paper presents a multi-context recurrent network for time series analysis. While simple recurrent network (SRN) are very popular among recurrent neural networks, they still have some shortcomings in terms of learning speed and accuracy that need to be addressed. To solve these problems, we proposed a multi-context recurrent network (MCRN) with...
Conference Paper
This paper presents a combined approach for online handwriting symbols recognition. The basic idea of this approach is to employ a set of left-right HMMs as a feature extractor to produce HMM features, and combine them with global features into a new feature vector as input, and then use SVM as a classifier to finally identify unknown symbols. The...
Conference Paper
This paper presents a combined approach for online handwriting symbols recognition. The basic idea of this approach is to employ a set of left-right HMMs to generate a new feature vector as input, and then use SNN as a classifier to finally identify unknown symbols. The new feature vector consists of global features and several pairs of maximum pro...
Conference Paper
Full-text available
This paper presents an innovative hybrid approach for online recognition of handwritten symbols. The approach is composed of two main techniques. Firstly, fuzzy rules are used to extract a meaningful set of features from a handwritten symbol, and secondly a recurrent neural network uses the feature set as input to recognise the symbol. The extracte...
Conference Paper
This paper presents an innovative hybrid approach for online recognition of handwritten symbols. This approach is composed of two main techniques. The first technique, based on fuzzy logic, deals with feature extraction from a handwritten stroke and the second technique, a recurrent neural network, uses the features as an input to recognise the sym...
Conference Paper
Full-text available
Simple recurrent networks have been used in simulations and modelling of many real-world applications. Usually these networks deal with tasks of temporal sequences. In this paper, we introduce a new SRN based on Elman network. The new model is introduced in order to improve the speed and accuracy of SRNs. The new model is studied using different tr...
Article
Studies of the living embryo sacs of Torenia fournieri reveal that the actin cytoskeleton undergoes dramatic changes that correlate with nuclear migration within the central cell and the primary endosperm. Before pollination, actin filaments appear as short bundles randomly distributed in the cortex of the central cell. Two days after anthesis, the...

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Project (1)
Project
To develop PBD for steel strip, geogrid, multi-anchor walls.