| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
Big data is becoming a key issue for the research of next generation information system. Real time processing of big data on a conventional system is difficult because of huge amount of data. This research aims to provide a platform for real time big data processing.
Our approach is to realize real time big data processing by implementing several real applications. They are classified into two groups. The first group of applications uses real time image processing and deep learning. They are recognition for oracle bone inscriptions, fall detection for elderly persons using a depth camera, and underwater-drone with panoramic camera for automatic fish recognition. The second group of applications are extension of real time burst analysis algorithm. They are extracting traffic phenomena with real time keywords using social networking service, and analysis of purchase possibility by access log of EC site.
The result of this research gives a perspective for real time platform of big data.
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