Presentation 2011-12-15
Automatic Prediction of Supply Goods Consumption based on Sensor Data
Shuhei YAMAGUCHI, Jin MITSUGI, Mamoru YOSHIDA, Osamu NAKAMURA, Jun MURAI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Automatic consumption prediction method based on a combination of most likelyhood estimation in two different history data is presented. Numerical simulations based on measured data of printers reveals that the proposed method successfully predict the consumption trend change. We also showed our method improves the amount of inventy by 12.5%.
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Keyword(in English) consumntion estimate / gamma distribution / maximum likelihood estimation
Paper # SIS2011-47
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Committee SIS
Conference Date 2011/12/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Automatic Prediction of Supply Goods Consumption based on Sensor Data
Sub Title (in English)
Keyword(1) consumntion estimate
Keyword(2) gamma distribution
Keyword(3) maximum likelihood estimation
1st Author's Name Shuhei YAMAGUCHI
1st Author's Affiliation AutoID Lab., Keio University()
2nd Author's Name Jin MITSUGI
2nd Author's Affiliation AutoID Lab., Keio University
3rd Author's Name Mamoru YOSHIDA
3rd Author's Affiliation AutoID Lab., Keio University
4th Author's Name Osamu NAKAMURA
4th Author's Affiliation AutoID Lab., Keio University
5th Author's Name Jun MURAI
5th Author's Affiliation AutoID Lab., Keio University
Date 2011-12-15
Paper # SIS2011-47
Volume (vol) vol.111
Number (no) 342
Page pp.pp.-
#Pages 4
Date of Issue