| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Research Abstract |
The study has developed and improved an automatic fatigued bill classification system for banking machines, based on acoustic signal information of passing bills. The classification resolution of fatigued bills is improved by introducing the fatigue level estimation method with the supervised self-organizing map. Furthermore, feature selection methods based on correlation information between fatigue levels and acoustic signal information of banking machines led the performance of the proposed method to practical level, by reducing classification time and improving classification accuracies of fatigue levels of bills.
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