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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

共 1846 条记录，以下是1661-1670 订阅

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A Resource-based Approach to Formalize Use Case Specification for Web Applications

A Resource-based Approach to Formalize Use Case Specificatio...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Weifeng Xu,Lin Deng,Yunkai Liu Department of Computer and Information Science Gannon University Erie,Pennsylvania,USA

Web applications under attack may perform undesirable behaviors against their use case specification. These attacks exploit web vulnerabilities which are usually considered as consequences of abusing web *** paper proposes a resource-based approach to formalize use case specification for web *** goal of the research is to identify and organize web resources,and to integrate web resources into use cases in a structured way. First,we filter web resource information based on the lexical analysis of the original use case ***,we identify hidden web resources that are not listed in the event flow but required during the realization of the *** that,we organize these web resources into a web resource ***,the formalized use case specification is constructed into a tree structure along with a defined event flow *** resource-based use case specification enables security analysts to analyze the web vulnerabilities in terms of the resources required by each *** is helpful to elicit security requirements.

关键词： requirement engineering security requirements web resources categorization use case formalization event flow tree

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Statistical Consensus Method for Cluster Ensembles

Statistical Consensus Method for Cluster Ensembles

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Clement Deus School of Information Science and Engineering Central South University Changsha China

In Data mining and Knowledge discovery,clustering is one of the most important techniques in the process of discovering salient structures from the *** paper explores the idea of statistical consensus method for combining results from multiple clustering or *** explored this idea when working with customs data from Revenue *** partitions are generated by running k-means algorithm several times which produces diverse clustering results with different parameter initializations or subspaces in each time from the same *** achieve the combination for the final clustering result,our algorithm first selects a Reference partition with best clustering results among created *** it selects partitions which are consistent by employing the Mutual Information between partitions as the selection *** partitions with mutual information less than a set threshold value are discarded from the ensemble. Finally the selected partitions that create the ensemble are combined by the consensus function to achieve the final clustering *** consensus function uses the original features of the dataset in collaboration with the partitions results to attain the final *** shows that our algorithm achieves better clustering results than the classical k-means algorithm in terms of accuracy from both synthetic and real datasets.

关键词： Clustering Data Mining Ensembles Statistical Consensus Unsupervised learning

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Product Image Search with Regional Evidences

Product Image Search with Regional Evidences

引用

2016 ieee international conference on progress in informatics and computing

作者： Guixuan Zhang Shuwu Zhang Zhi Zeng Hu Guan Xiaoqian Li Institute of Automation Chinese Academy of Sciences

In the task of product image search, the database consists of clean versions of product images, while the query photos are often captured from mobile phone cameras under uncontrolled conditions. Conventional methods usually adopt the SIFT based bag-of-words（BoW） representation of the whole query image, which suffers from the interference of background noise. To address the problem, we extract multiple candidate regions from the query image and compute the regional similarity to database images individually. Then a verification strategy is proposed to evaluate the similarity based on regional semantic evidences. With the proposed method, we can not only improve the search accuracy, but also obtain the location of the product in the query image. Extensive experiments on two public datasets demonstrate the effectiveness of our method.

关键词： product image search bag-of-words regional semantic evidences similarity verification

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A Time Series Clustering Method Based on Hypergraph Partitioning

A Time Series Clustering Method Based on Hypergraph Partitio...

引用

2016 ieee international conference on progress in informatics and computing

作者： Zhibo Zhu Qinke Peng Xinyu Guan Systems Engineering Institute Xi'an Jiaotong University

Time series clustering has been applied in many scientific domains and has attracted much attention in recent years. In this paper, a novel hypergraph based clustering method for time series is proposed, combining multiple similarity measures and hypergraph partitioning. We firstly build the hypergraph for time series dataset using multiple similarity measures, where each time series is represented by vertex and hyperedge is formed based on the similarity relation among time series. Then, the vertices in the constructed hypergraph are grouped by the hypergraph partitioning method to identify the clusters of time series. Two different strategies for hypergraph construction are presented in detail, resulting in two specific methods. Empirical experiments of time series clustering with the UCR archive are conducted for the purpose of evaluation. The results demonstrate that the proposed methods outperform contrast clustering methods in most of the tested datasets and also achieve better performance than the network based methods under consideration, owe to the combination of advantages of hypergraph and various similarity measures.

关键词： Data mining Multiple similarity measures Time series clustering Hypergraph partitioning

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An Integration Profile of Rule Engines for Clinical Decision Support Systems

An Integration Profile of Rule Engines for Clinical Decision...

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2016 ieee international conference on progress in informatics and computing

作者： Yinsheng Zhang Haomin Li Huilong Duan Qian Shang School of Computer Science and Information Engineering Zhejiang Gongshang University Children's Hospital Institute of Translational Medicine School of Medicine Zhejiang University College of Biomedical Engineering and Instrument Science Zhejiang University Management School Hangzhou Dianzi University

Rule engine has become an indispensable component for many clinical decision support systems. Due to the complexity and heterogeneity of clinical data, one big challenge for rule-based clinical applications is mapping the data from various data sources to rule variables. This paper proposed a rule engine integration profile that uses a shared ontology between the rule engine and external systems to facilitate data acquisition. Based on the integration profile, a diagnostic clinical decision support application was successfully deployed in a Chinese hospital.

关键词： clinical decision support rule engine domain ontology integration profile

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Key-frame Extraction Based on Clustering

Key-frame Extraction Based on Clustering

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Rong Pan,Yumin Tian,Zhong Wang Institute of Computer Peripherals Xidian University Xi'an,China

The emphasis is on the key-frame extraction technique in content-based video *** with problems existed in the traditional clustering algorithms,an improved shots keyframe extraction algorithm based on fuzzy C-means clustering is *** the color feature information in the video frames,and then through the improvement of the clustering algorithm of video sequences to acquire the center value of various classes and the membership degree of every frame relative to the classes,finally the shots will be clustered into several *** to the relatively uniform of the contents in the sub-shots and the large differences between different classes,as well as the value of the maximum image entropy corresponds to the maximum amount of information in the information theory,the value of maximum entropy frame is extracted as the key-frame from each *** method overcomes the shortcomings of the traditional key-frame extraction methods that the numbers of the key-frame are fixed. Experiments based on various video sequences show that the algorithm is more reasonable.

关键词： video retrieval key-frame extraction image entropy cluster fuzzy C-means

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Iris Localization Algorithm Based on Gray Distribution Features

Iris Localization Algorithm Based on Gray Distribution Featu...

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The 2010 ieee international conference on progress in informatics and computing

作者： Fei Tan,Zhengming Li and Xiaoqin Zhu School of Electrical and Information Engineering Jiangsu University Zhenjiang,China

Influenced by the noises,for example,eyelid and eyelash occlusions,iris localization algorithms are difficult to keep a right balance between real-time quality and accuracy. Therefore,a novel iris localization method with effective noise eliminating is proposed in this *** the iris' inner edge location,morphological open is used to eliminate noise based on separating pupil region by *** the pupil's center and radius are located accurately by gray *** the iris' outer edge location,morphological close is proposed to eliminate the rich texture within the iris *** on this method,an edge detection template to search four directional points within a small scope of the probable boundary is designed and thus the iris's centre and radius can be *** results show that,compared with the pre-algorithms,the new algorithm not only greatly improves the accuracy and the speed, but also shows good robustness.

关键词： iris localization gray projection edge detection template

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Production Estimates of Coalbed Methane by Type-2 Fuzzy Logic Systems

Production Estimates of Coalbed Methane by Type-2 Fuzzy Logi...

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2016 ieee international conference on progress in informatics and computing

作者： Meiyi Yang Lei Xu College of Mathematics and Information Science Neijiang Normal University Data Recovery Key Laboratory of Sichuan Province Neijiang Normal University

Reasonable prediction estimates of coalbed methane(CBM) has important significance for economic development. Production estimates of CBM had recognized to be complex, nonlinear, and adherent with uncertainty, so it is necessary to analyze accurately coalbed gas potential production capacity by adopting other mathematics methods. In this paper, the using of type-2 fuzzy logic system(T2FLS) as a novel approach for forecasting production of CBM has been investigated and implemented. Considering there are a lot of parameters that affect the model's performance, the authors adopted RBF neural network combined with the algorithm of Mean Impact Value to select the effect parameters.T2FLS production forecast method was applied to CBM wells of Hancheng mine. Comparative studies have been carried out to compare the performance of the proposed method with those earlier used methods. Empirical results show the proposed method has notable advantage in generalization, stability and consistency.

关键词： coalbed methane production prediction type-2 fuzzy logic system

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Automatic detection of Retinal Capillary Nonperfusion via a new active contour model

Automatic detection of Retinal Capillary Nonperfusion via a ...

引用

2016 ieee international conference on progress in informatics and computing

作者： Huanxi Zhao Xuan Li Yao Xiang Beiji Zou Ling Gao School of Information Science and Engineering Central South University The Second Hospital Central South University

Capillary nonperfusion（CNP）,which is one of characteristic features in diabetic retinopathy patients,is an important judgement of the appearance of retinal *** paper presents a novel,fast and hybrid method to detect *** model combines region-based active contour model（ACM）,Graph-Cut and Fuzzy Possibilistic C-Means（FPCM）.We modify ACM with a new energy function to reduce suspicious pixels,and employ Graph-Cut to replace the level set method to get a faster arithmetic speed,which also make our method insensitive to the initial *** FPCM is applied to average grey levels over different clusters instead of the grey levels of the pixel in order to alleviate the influence caused by noise and *** results demonstrate that the proposed method outperforms other ACM methods in detecting CNP with better accuracy and sensitivity.

关键词： non-perfusion active contour model Graph Cut Fuzzy Possibilistic C-Means

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FTIR Micro-spectroscopic Imaging Analysis Based on PCA and LS-SVM

FTIR Micro-spectroscopic Imaging Analysis Based on PCA and L...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Xiukun Yang,Tingting Sun,Xuezhi Xiang dept.Information and Communication Engineering Harbin Engineering University Harbin,China

FTIR micro-spectroscopic imaging analysis is a new and potential tool for subtle changes detection in biochemical *** excellent performance and limitation of FTIR technique are briefly discussed in this *** order to explore an automatic and efficacious method for chemical composition distinction,principal component analysis(PCA) and least square support vector machine(LS-SVM) is *** this work,the unsupervised algorithm PCA is used to reduce dimension,extract linear features of original data set,and speed up the convergence in the training of *** linear features are sent to LS-SVM classifier to distinguish one ingredient out of blends,in which linear inseparable ingredients can be properly adjusted by changing kernel function and parameters of *** experimental results indicate that this method achieves high classification accuracy and low dependence on the experience and capacity of scientific researchers.

关键词： FTIR micro-spectoscopic imaging principal analysis(PCA) least square support vector machine(LS-SVM) feature extraction classification

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