| Budget Amount *help |
¥14,820,000 (Direct Cost: ¥11,400,000、Indirect Cost: ¥3,420,000)
Fiscal Year 2017: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
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| Outline of Final Research Achievements |
Accurate identification of complex smell/odor (e.g. exhaled breath) composed of diverse molecules requires optimization of both hardware (multiple sensors with diverse chemical selectivity) and software (multidimensional data analysis). In this study, sensor system components including receptor materials have been developed together with the detailed investigation into basic analytical methods of sensing data. Further, significant enhancement of predication accuracy of complex smell/odor has been demonstrated through the optimization of sensors based on machine learning of multidimensional sensing data. These studies provide a guideline for hardware-software mutual optimization of sensors.
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