| Autor: |
Doung Chankhihort, Byung-Muk Lim, Gyu-Jung Lee, Sungsu Choi, Sun-Ock Kwon, Sang-Hyun Lee, Jeong-Tae Kang, Aziz Nasridinov, Kwan-Hee Yoo |
| Předmět: |
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| Zdroj: |
International Journal of Contents; Jun2017, Vol. 13 Issue 2, p21-28, 8p |
| Abstrakt: |
Abnormal data in the manufacturing process makes it difficult to find useful information that can be applied in data management for the manufacturing industry. It causes various problems in the daily process of production. An issue from the abnormal data can be handled by our method that uses big data and visualization. Visualization is a new technology that transforms data representation into a two-dimensional representation. Nowadays, many newly developed technologies provide data analysis, algorithm, optimization, and high efficiency, and they meet user requirements. We propose combined production of the data visualization approach that uses integrative visualization of sources of abnormal pattern analysis results. The perceived idea of the proposed approach can solve the problem as it also works for big data. It can also improve the performance and understanding by using visualization and solving issues that occur in the manufacturing process with a calendar heat map. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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