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[求助] 请帮忙查下两篇文章的检索情况,谢谢!

1. 题目:Generalization of Label Propagation Algorithm in
Complex Networks
作者:Ai ping Zhang, Guang Ren, Hui Cao, Bao zhu Jia,Shu bin Zhang
论文集:2013 25th Chinese Control and Decision Conference (CCDC)
页码:1306-1309

2.题目: Fault Diagnosis for Marine Diesel Engine Based on Class Label
Probability and Random Walk
作者:Aiping Zhang, Guang Ren , Baozhu Jia , Yejin Lin , Jundong Zhang
论文集卷期:Applied Mechanics and Materials Vols. 333-335 (2013)
页码:1777-1781


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fallsoft

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微型控制器(杈杈代发): 金币+10, 谢谢,很有帮助! 2013-09-13 19:53:48
Accession number:       
20133516668203
        Title:        Generalization of label propagation algorithm in complex networks
        Authors:         Ping Zhang, Ai1 ; Ren, Guang1; Cao, Hui1; Zhu Jia, Bao1; Bin Zhang, Shu2
        Author affiliation:        1 College of Marine Engineering, Dalian Maritime University, Dalian, China
                2 Department of Architectural Engineering, Jilin Province Economic Management, Cadre College, Changchun, China
        Source title:        2013 25th Chinese Control and Decision Conference, CCDC 2013
        Abbreviated source title:        Chin. Control Decis. Conf., CCDC
        Monograph title:        2013 25th Chinese Control and Decision Conference, CCDC 2013
        Issue date:        2013
        Publication year:        2013
        Pages:        1306-1309
        Article number:        6561127
        Language:        English
        ISBN-13:         9781467355322
        Document type:        Conference article (CA)
        Conference name:        2013 25th Chinese Control and Decision Conference, CCDC 2013
        Conference date:        May 25, 2013 - May 27, 2013
        Conference location:        Guiyang, China
        Conference code:         98686
        Publisher:        IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
        Abstract:        We generalize the label propagation algorithm in complex networks to weighted networks by weighting the label propagation rule and the termination condition of label propagation algorithm. Experiments on computer-generated networks and real-world networks are carried out to compare the generalized algorithm with original algorithm. The results show the generalized algorithm is accurate, and the number of iteration is less. The weighed label propagation algorithm is applied to fault classification, and the good classification results are obtained. © 2013 IEEE.
        Number of references:        10
        Main heading:         Iterative methods
        Controlled terms:         Algorithms  -  Complex networks
        Uncontrolled terms:         Classification results  -  Fault classification  -  Generalized algorithms  -  Label propagation  -  Number of iterations  -  Original algorithms  -  Real-world networks  -  Termination condition
        Classification code:         722 Computer Systems and Equipment -  723 Computer Software, Data Handling and Applications -  921 Mathematics -  921.6 Numerical Methods
        DOI:        10.1109/CCDC.2013.6561127
        Database:        Compendex
                Compilation and indexing terms, © 2013 Elsevier Inc.
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fallsoft

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Accession number:       
20133516681205
        Title:        Fault diagnosis for marine diesel engine based on class label probability and random walk
        Authors:         Zhang, Aiping1 ; Ren, Guang1 ; Jia, Baozhu1 ; Lin, Yejin1 ; Zhang, Jundong1
        Author affiliation:        1 College of Marine Engineering, Dalian Maritime University, Dalian, China
        Source title:        Applied Mechanics and Materials
        Abbreviated source title:        Appl. Mech. Mater.
        Volume:        333-335
        Monograph title:        Measurement Technology and Engineering Researches in Industry
        Issue date:        2013
        Publication year:        2013
        Pages:        1777-1781
        Language:        English
        ISSN:         16609336
        E-ISSN:         16627482
        ISBN-13:         9783037857502
        Document type:        Conference article (CA)
        Conference name:        2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013
        Conference date:        April 23, 2013 - April 24, 2013
        Conference location:        Guilin, China
        Conference code:         99005
        Sponsor:        Korea Maritime University; Hong Kong Industrial Technology Research Centre; Inha University
        Publisher:        Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
        Abstract:        Cluster methods can be used for fault diagnosis of marine diesel engine. We propose a cluster method by assigning a class label to each sample and updating it according to the class label probability. Due to the random walk process in cluster process, multiple results are obtained, and some classes can be found more easily. Fault diagnosis simulation experiment is executed on a self-manufactured marine engine room simulator to verify the method performance, and we obtain the correct graphical and number results. Both fault patterns in fault history and new fault pattern can be recognized. © (2013) Trans Tech Publications, Switzerland.
        Number of references:        7
        Main heading:         Random processes
        Controlled terms:         Failure analysis  -  Marine engines
        Uncontrolled terms:         Class labels  -  Cluster method  -  Cluster process  -  Fault patterns  -  Marine Diesel Engines  -  Marine engine room simulators  -  Random Walk  -  Random walk process
        Classification code:         421 Strength of Building Materials; Mechanical Properties -  612 Engines -  921 Mathematics -  922.1 Probability Theory
        DOI:        10.4028/www.scientific.net/AMM.333-335.1777
        Database:        Compendex
                Compilation and indexing terms, © 2013 Elsevier Inc.
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