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2012 7th International Conference on Computer Science & Education (ICCSE)

14-17 July 2012

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  • [Front and back cover]

    Publication Year: 2012, Page(s):c1 - c4
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  • [CD booklet cover]

    Publication Year: 2012, Page(s): 1
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  • [Final program book CD cover]

    Publication Year: 2012, Page(s): 1
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  • [Front matter]

    Publication Year: 2012, Page(s):1 - 2
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  • [Copyright notice]

    Publication Year: 2012, Page(s): 1
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  • Welcome

    Publication Year: 2012, Page(s): 1
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  • Table of contents

    Publication Year: 2012, Page(s):i - xx
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  • Author index

    Publication Year: 2012, Page(s):2013 - 2023
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  • Committees

    Publication Year: 2012, Page(s): 1
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  • Keynote addresses: Keynote address I: Interaction between computer control design and its implementation

    Publication Year: 2012, Page(s):1 - 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (82 KB)

    These keynote speeches discuss the following: interaction between computer control design and its implementation; super-resolution through sub-pixel motion prediction and bilateral filtering; and the Melbourne engineering and IT education. View full abstract»

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  • Introduction of oral/poster presentation

    Publication Year: 2012, Page(s): 1
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  • Program at a glance

    Publication Year: 2012, Page(s):1 - 2
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  • Hidden Markov Model for hard-drive failure detection

    Publication Year: 2012, Page(s):3 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    This paper illustrates the use of Hidden Markov Model (HMM) to model hard disk failure. The reason we use HMM is because HMM is a formal foundation for making probabilistic models of linear sequence `labeling' problem. We use the database provided by University of California, San Diego for detection of hard-drive failure. We have selected 24 attributes and obtain accuracy of about 90%. We compare ... View full abstract»

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  • Emotional prediction using time series multiple-regression genetic algorithm for autistic syndrome disorder

    Publication Year: 2012, Page(s):9 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1059 KB) | HTML iconHTML

    Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial market forecasting over the past three decades. Recent research activities in time series forecasting indicate that two basic limitations detract f... View full abstract»

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  • Probabilistic neural network based tolerance-circuit diagnosis

    Publication Year: 2012, Page(s):13 - 16
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (99 KB) | HTML iconHTML

    An approach to fault diagnosis for analog circuits with tolerance is presented based on probabilistic neural networks. In order to overcome the difficulties in BP network based diagnosis such as slow learning speed for convergence and easily falling into local minimum value, probabilistic neural network is introduced to tolerance-circuit diagnosis. Fault samples including soft faults and hard faul... View full abstract»

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  • Analog fault diagnosis using decision fusion

    Publication Year: 2012, Page(s):17 - 20
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (110 KB) | HTML iconHTML

    An approach to analog fault diagnosis for circuits with tolerance is presented based on data fusion. The proposed strategy consists of preliminary diagnosis and decision fusion. Preliminary diagnosis is performed separately by using one kind of fault signatures from multiform circuit responses. The preliminary diagnosis results are aggregated using an evidential reasoning algorithm and fault locat... View full abstract»

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  • A novel tongue segmentation approach utilizing double geodesic flow

    Publication Year: 2012, Page(s):21 - 25
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (725 KB) | HTML iconHTML

    Tongue diagnosis is one of the most important instruments in traditional Chinese medicine (TCM). While the tongue body segmentation acts an indispensable role in the automatic tongue diagnosis system. This study utilizes geodesic active contour model (level set function) to forward a novel segmentation approach. The tongue image is firstly divided into two parts according to the prior knowledge of... View full abstract»

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  • NG2CE: Double neural gas based cluster ensemble framework

    Publication Year: 2012, Page(s):26 - 31
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (131 KB) | HTML iconHTML

    Though there exist different kinds of cluster ensemble methods, few of them consider how to process the dataset with noisy attributes. In this paper, we design a double neural gas based cluster ensemble framework, named as NG2CE, which is a new cluster ensemble framework to process the dataset with noisy attributes. Compared with traditional cluster ensemble methods, the cluster framewo... View full abstract»

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  • Import iron ore price forecasting based on PSO-SVMs model

    Publication Year: 2012, Page(s):32 - 35
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    According to the nonlinear series characteristic of the price of imported iron ore, this paper proposes a support vector machines (SVMs) model for import iron ore price forecasting. But parameters of SVMs model are very difficult to determined, particle swarm optimization (PSO) algorithms are used to search these parameters and make sure the accuracy of SVMs model. Compared with autoregressive int... View full abstract»

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  • Underwater target tracking based on particle filter

    Publication Year: 2012, Page(s):36 - 40
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (365 KB) | HTML iconHTML

    Swimming pool is a dynamic scene with great changes. It is affected by bubbles, light intensity, wave and other factors. In this paper, a new algorithm of underwater moving target tracking is proposed. At first, building the moving target model in underwater video based on RGB histogram. Then particle filter algorithm is adopted to track moving target in view of the complex features of the swimmin... View full abstract»

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  • Research of multi-scales Gabor uncertainty in face recognition

    Publication Year: 2012, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB) | HTML iconHTML

    In face recognition multi-scales Gabor features contain a large amount of redundant information and the value of the features are different from each other. The paper proposes multi-scales Gabor uncertainty weighted fusion algorithm in face recognition, multi-scales Gabor features were used to show facial features firstly, and then weights and uncertainties were calculated to get the last facial f... View full abstract»

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  • Detection of small leakage from pipeline based on improved harmonic wavelet

    Publication Year: 2012, Page(s):45 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (145 KB) | HTML iconHTML

    In detection and localization of leakage from pipeline, as the signal of pressure is usually mixed with noise, the singularity of the negative pressure wave generated by a small leakage can not be accurately extracted by using conventional methods and thus the leakage can not be accurately located. For the above reasons, a practical method based on improved harmonic wavelet was used. This method i... View full abstract»

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  • The research on user interest model based on quantization browsing behavior

    Publication Year: 2012, Page(s):50 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (112 KB) | HTML iconHTML

    The constructing and updating of user interest model, determines the accuracy of the user information representation, and directly influences the service quality for the users. This paper will show you by introducing some browsing action data into user interest model updating strategy, carrying on the experiment by using the designed system, and obtaining the reasonable values of browsing behavior... View full abstract»

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  • Adaptive foreground edge extraction from video stream

    Publication Year: 2012, Page(s):55 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (141 KB) | HTML iconHTML

    We propose a new method to extract foreground edges in a video streams taken from a stationary camera. Our background model is based on the fact that a background pixel's gradient components follow Gaussian mixture model(GMM). GMM is performed on the initial group of video frames to obtain the initial pixel gradient component distribution information at each pixel. Then each of the current Canny e... View full abstract»

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  • A method of constructing user interest model based on semantics

    Publication Year: 2012, Page(s):59 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (115 KB) | HTML iconHTML

    In this paper, the representation method of user interest model is a combination of vector space model with Ontology. It introduces the algorithm of semantic similarity when calculating the term weight, and considers the semantic similarity of words, and then the term weight is updated through the Bayesian network. This paper focuses on the steps of building and updating the user interest model, a... View full abstract»

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