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Hadoop Based Data Processing Method and Its Application on Braille Identification.

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Název: Hadoop Based Data Processing Method and Its Application on Braille Identification.
Autoři: Li, Nian-Feng, Wang, Li-Rong, Zhang, Meng, Zhang, Hua-Xun
Zdroj: 2012 Fifth International Conference on Intelligent Networks & Intelligent Systems; 1/ 1/2012, p329-332, 4p
Abstrakt: It is not so efficient to store and manage massive data with traditional distributed database architecture. Hadoop, as an open source framework, is suitable for data distributed storage and management on a group of cheap machines. Based on the research of open source frameworks of Hadoop, a kind of massive data processing model based on Hadoop is provided in this paper, and its application on Braille identification is introduced. The paper also provides a test scheme for I/O performance of this data processing model under different numbers of data node and different copy coefficient and block size. The test results show that, the model provides high efficiency for large scale of data processing. [ABSTRACT FROM PUBLISHER]
Copyright of 2012 Fifth International Conference on Intelligent Networks & Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Hadoop Based Data Processing Method and Its Application on Braille Identification.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Nian-Feng%22">Li, Nian-Feng</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Li-Rong%22">Wang, Li-Rong</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Meng%22">Zhang, Meng</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hua-Xun%22">Zhang, Hua-Xun</searchLink>
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  Data: 2012 Fifth International Conference on Intelligent Networks & Intelligent Systems; 1/ 1/2012, p329-332, 4p
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: It is not so efficient to store and manage massive data with traditional distributed database architecture. Hadoop, as an open source framework, is suitable for data distributed storage and management on a group of cheap machines. Based on the research of open source frameworks of Hadoop, a kind of massive data processing model based on Hadoop is provided in this paper, and its application on Braille identification is introduced. The paper also provides a test scheme for I/O performance of this data processing model under different numbers of data node and different copy coefficient and block size. The test results show that, the model provides high efficiency for large scale of data processing. [ABSTRACT FROM PUBLISHER]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of 2012 Fifth International Conference on Intelligent Networks & Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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