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2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)最新文献

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Robust stabilization for uncertain fuzzy singular systems with interval time-varying delay 区间时变时滞不确定模糊奇异系统的鲁棒镇定
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980845
Feng Hu, Rui Yang
{"title":"Robust stabilization for uncertain fuzzy singular systems with interval time-varying delay","authors":"Feng Hu, Rui Yang","doi":"10.1109/FSKD.2014.6980845","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980845","url":null,"abstract":"This paper focuses on the robust stabilization for uncertain fuzzy singular systems with interval time-varying delay. First, the uncertainties are converted to disturbance input, the conditions to enable the closed-loop system to be stable are established and a state feedback controller which guarantees that the closed-loop system will be regular, impulse free and robust stable is presented in terms of the solutions to linear matrix inequalities (LMIs). Finally, the effectiveness of the developed approach is illustrated by a numerical example.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An improved parallel association rules algorithm based on MapReduce framework for big data 基于MapReduce框架的大数据并行关联规则改进算法
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980847
Xinhao Zhou, Yongfeng Huang
{"title":"An improved parallel association rules algorithm based on MapReduce framework for big data","authors":"Xinhao Zhou, Yongfeng Huang","doi":"10.1109/FSKD.2014.6980847","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980847","url":null,"abstract":"Association rules mining is one of the most popular and significant issue in data mining and intends to discovery interest relations between variables in database. In our paper, we implemented an improved parallel Apriori algorithm which realized both count and candidate generation steps under MapReduce framework, while existing parallel Apriori algorithm only considered count step. We analyzed the time complexity of our improved parallel algorithm and compared to the original parallel algorithm, which indicates advantages of our algorithm with massive candidate item sets. Based on our experiment result, we proved that our algorithm performs better under big data situation and achieves excellent speedup feature.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
A knowledge-based procedure for remote sensing image classification 基于知识的遥感图像分类程序
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980809
Limin Zhang, Tao Xu, Jianting Zhang, Yingfu Yu
{"title":"A knowledge-based procedure for remote sensing image classification","authors":"Limin Zhang, Tao Xu, Jianting Zhang, Yingfu Yu","doi":"10.1109/FSKD.2014.6980809","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980809","url":null,"abstract":"Object-based image analysis (OBIA) in combination with domain knowledge is an important methodology for remote sensing image interpretation. It can deal with semantic gap effectively. In this paper, a knowledge-based procedure for remote sensing image classification is presented. Domain knowledge is represented with semantic network, which guides the initial classification of the image. A quantitative matching degree is used in the modification of the initial classification. The proposed procedure is much more efficient compared with method in literature.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction Takagi-Sugeno型直觉模糊推理系统的去模糊化方法——以公司破产预测为例
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980838
P. Hájek, V. Olej
{"title":"Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction","authors":"P. Hájek, V. Olej","doi":"10.1109/FSKD.2014.6980838","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980838","url":null,"abstract":"Recently, an intuitionistic fuzzy inference system (IFIS) of Takagi-Sugeno type has been proposed. Previous results have shown that by adding non-membership functions, the average errors may be significantly decreased compared with FISs. In this paper, we design defuzzification methods for this class of systems. The methods are based on weighted average and weighted sum of the consequents of rules in IFIS. The empirical comparison of the methods is carried out on a dataset for corporate bankruptcy prediction.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 35
Enterprise knowledge cooperation network based on business time-sequence relationship 基于业务时序关系的企业知识合作网络
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980869
Zeqing Liu, H. Zhan, Junhe Yu
{"title":"Enterprise knowledge cooperation network based on business time-sequence relationship","authors":"Zeqing Liu, H. Zhan, Junhe Yu","doi":"10.1109/FSKD.2014.6980869","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980869","url":null,"abstract":"Enterprise knowledge cooperation network is established as an integration of knowledge nodes and cooperation connection links among those nodes. The nodes represent knowledge used in enterprise business process. The links represent cooperation connections based on analysis of business time-sequence relation. Gantt chart is applied to describe the time-sequence relation of knowledge nodes during their interaction and cooperation in enterprise business process. The knowledge cooperation network is established based on numerous past business cases. It can be used to analyze the knowledge status of the enterprise. Dynamic calculation method of knowledge node betweenness is also proposed. It can be applied to identify the key knowledge in the network to help enterprises promote their practical ability on knowledge management.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129930231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Radial fourier analysis (RFA) image descriptor 径向傅里叶分析(RFA)图像描述符
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980942
Stephen Ching-Feng Lin, Chin Yeow Wong, G. Jiang, Md. Arifur Rahman, N. Kwok
{"title":"Radial fourier analysis (RFA) image descriptor","authors":"Stephen Ching-Feng Lin, Chin Yeow Wong, G. Jiang, Md. Arifur Rahman, N. Kwok","doi":"10.1109/FSKD.2014.6980942","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980942","url":null,"abstract":"This article presents a spectrum-based local image descriptor, namely, Radial Fourier Analysis (RFA) image descriptor. The RFA descriptor uses Fourier transform to convert the image gradients in the local region of a keypoint from spatial domain to frequency domain. The transformed gradient frequencies are then analysed to obtain the principle description within the local region. The principle description is represented by low frequency Fourier coefficients and they are directly used in the descriptor to represent the keypoint. Experimental results using a series of performance evaluation procedures showed that RFA descriptor demonstrates higher performances against different image variations comparing to benchmark local image descriptors. The results also indicated that the RFA descriptor is particularly reliable when used on the images, which are degraded by blurring and JPG compression. According to the performance evaluations presented in this paper, spectral analysis shows strong potential for local image description. It paves the way for future research in alternative spectrum-based techniques such as Wavelet transform to precisely analyse local image patches.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Daily sound recognition for elderly people using ensemble methods 用合奏法进行老年人日常声音识别
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980871
A. Shaukat, Muhammad Ahsan, Ali Hassan, F. Riaz
{"title":"Daily sound recognition for elderly people using ensemble methods","authors":"A. Shaukat, Muhammad Ahsan, Ali Hassan, F. Riaz","doi":"10.1109/FSKD.2014.6980871","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980871","url":null,"abstract":"This paper presents our investigations on automatic daily sound recognition using ensemble methods. Two benchmark datasets RWCP-DB and Sound Dataset are utilized for this purpose. A set of acoustic features for daily sound recognition is identified and used. First, sound classification is carried out using individual classifiers on both datasets. As the classification accuracy comes out lower with base classifiers as compared to the results reported in literature, ensemble methods are then employed for classification task. The ensemble methods prove to be effective and robust in recognizing daily sounds as they yield high recognition rates. The classification accuracies achieved by our proposed setup of ensemble methods are higher than those mentioned in literature for the two daily sound datasets.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126272074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Optimized multi-task sparse representation based classification method for robust face recognition 基于多任务稀疏表示的鲁棒人脸识别优化分类方法
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980940
Bo Sun, Feng Xu, Dongyang Liu, Qi Kuang, Jun He
{"title":"Optimized multi-task sparse representation based classification method for robust face recognition","authors":"Bo Sun, Feng Xu, Dongyang Liu, Qi Kuang, Jun He","doi":"10.1109/FSKD.2014.6980940","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980940","url":null,"abstract":"Sparse representation based classification (SRC) method has become a hot topic in recent years. To address the alignment problem, feature-based (such as SIFT) SRC method has been proposed. But it always works not ideally for the contiguously occluded face images. After analyzing, we point it to the issue of features' reliability for multi-task recognition. Through the theoretical analysis on the sparsity of SR coefficient, a formula for evaluating features' representation reliability (RR) is proposed to optimize the multi-task feature-based SRC. In this paper, firstly, we present the main thought of the proposed formula of RR. Then it is introduced to the feature-based SRC method. Finally, experiments on Yale and AR database are performed. The proposed method is compared with the methods of MKD-SRC, SIFT-matching and original SRC. Experimental results show that the proposed method is more robust for simultaneously handling the variations in illumination, alignment, expression, and occlusion.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115955786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A novel method for diagnosing premature ventricular contraction beat based on chaos theory 基于混沌理论的室性早搏诊断新方法
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980884
Haiman Du, Yang Bai, Suiping Zhou, Hongrui Wang, Xiuling Liu
{"title":"A novel method for diagnosing premature ventricular contraction beat based on chaos theory","authors":"Haiman Du, Yang Bai, Suiping Zhou, Hongrui Wang, Xiuling Liu","doi":"10.1109/FSKD.2014.6980884","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980884","url":null,"abstract":"Premature Ventricular Contraction (PVC) is a common type of abnormal heartbeat. Without early diagnosis and proper treatment, PVC may result in more serious harms. Diagnosis of PVC is of great importance in goal-directed treatment and preoperative prognosis. In this paper, we propose a novel diagnostic method for PVC based on chaos theory, where classification of PVC from other types (normal(N), premature atrial contractions(PAC), right bundle branch block(RBBB)) of ECG beats can be done through chaotic feature extraction. To verify the effectiveness of the proposed method, a series of experiments have been conducted with data from MIT-BIH database.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Evaluation of multi-cloud computing TMR-based model using a cloud simulator 基于云模拟器的多云计算tmr模型评估
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2014-12-11 DOI: 10.1109/FSKD.2014.6980798
M. Alzain, B. Soh, E. Pardede
{"title":"Evaluation of multi-cloud computing TMR-based model using a cloud simulator","authors":"M. Alzain, B. Soh, E. Pardede","doi":"10.1109/FSKD.2014.6980798","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980798","url":null,"abstract":"Security of data in cloud computing environment is considered to be critical issue because of the importance and sensitivity of the outsourced data in the cloud, as is the trustworthiness of the cloud service provider. The failure of cloud services and the danger of malicious insiders in the cloud have received intense awareness by cloud users. The aim of this work is to analyse and evaluate an existing MCDB model (Multi-clouds Databases) that utilizes multi-clouds providers. The model adopted a triple modular redundancy (TMR) technique as well as sequential method to develop data trustworthiness of cloud system and after that to improve the data security feature. Also, it. incorporated Shamir's sharing algorithm. The evaluation is done through simulation using cloud computing simulator toolkit.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123862659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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