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Ç¥ÁعøÈ£ TTAK.KO-10.1298 ±¸Ç¥ÁعøÈ£
Á¦°³Á¤ÀÏ 2021-12-08 ÃÑÆäÀÌÁö 15
ÇѱÛÇ¥Áظí ÀüÀÚÄÚ¿¡¼­ µå¸®ÇÁÆ® Çö»ó º¸»óÀ» À§ÇÑ ±â°èÇнÀ Àû¿ë ¼³°è Áöħ
¿µ¹®Ç¥Áظí Design Guidelines for Machine Learning for Compensation of Drift at Electronic Nose
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØÀº µå¸®ÇÁÆ® Çö»ó º¸»óÀ» À§ÇÑ ±â°èÇнÀ Àû¿ëÀ» À§ÇÑ Ç¥ÁØÈ­µÈ ÀýÂ÷, µ¥ÀÌÅÍ ±¸¼º ¹æ¹ý, ±â°èÇнÀ¿¡ Àû¿ëÇϱâ À§ÇÑ ¿ä±¸»çÇ×À» Á¤ÀÇÇÔÀ¸·Î½á È¿À²ÀûÀÌ°í ȣȯÀÌ °¡´ÉÇÑ ¼ÒÇÁÆ®¿þ¾î °³¹ßÀÌ ¿ëÀÌÇϵµ·Ï ÇÑ´Ù.
°¡½º ¼¾¼­¿¡¼­ »ç¿ëµÇ´Â °¡½º ¼¾¼­ÀÇ µå¸®ÇÁÆ® Çö»ó º¸»ó ¹æ¹ýÀº Á¦Á¶¾÷üº°·Î Á¦°øµÇ°í ÀÖ¾î, ÀüÀÚÄÚ ¹× °¡½º ¼¾¼­ ¾î·¹ÀÌ ½Ã½ºÅÛÀ» À§ÇÑ ¼ÒÇÁÆ®¿þ¾î °³¹ß¿¡ ¾î·Á¿òÀÌ Á¸ÀçÇÑ´Ù.

À̸¦ À§ÇØ ´ÙÀ½°ú °°Àº ³»¿ëÀ» Á¤ÀÇÇÑ´Ù.

a µå¸®ÇÁÆ® Çö»ó º¸»óÀ» À§ÇÑ ±â°èÇнÀ Àû¿ëÀ» À§ÇÑ Ç¥ÁØÈ­µÈ ÀýÂ÷
b) µ¥ÀÌÅÍ ±¸¼º ¹æ¹ý
c) ±â°èÇнÀ¿¡ Àû¿ëÇϱâ À§ÇÑ ÀýÂ÷ ¹× ¿ä±¸»çÇ×
¿µ¹®³»¿ë¿ä¾à he standard makes it easy to develop efficient and compatible software by defining standardized procedures for applying machine learning for compensation of drift phenomenon, data composition method, and requirements for application to machine learning. Currently, a method of compensating for a drift phenomenon of a gas sensor used in a gas sensor is provided for each manufacturer, and thus, it is difficult to develop software for an electronic nose and a gas sensor array system.

For this purpose, the following content is defined.

a) Standardized procedure for applying machine learning to compensate
for drift phenomenon
b) How to organize data
c) Procedures and requirements for application to machine learning
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°ü·ÃÆÄÀÏ TTAK.KO-10.1298.pdf TTAK.KO-10.1298.pdf            

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