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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 34 / 37

ÇѱÛÁ¦¸ñ(Korean Title) Áú·®ºÐ¼®±â¸¦ À§ÇÑ ½ºÆåÆ®·³ °ËÃâ ¾Ë°í¸®ÁòÀÇ °³¼±
¿µ¹®Á¦¸ñ(English Title) Improvement of Spectrum Detection Algorithm for Mass Spectrometer
ÀúÀÚ(Author) ÀÌ¿µÇР  ÃÖ ÈÆ   Young Hawk Lee   Hun Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 23 NO. 01 PP. 0047 ~ 0054 (2019. 01)
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(Korean Abstract)
Áú·® ½ºÆåÆ®·³ ºÐ¼® ½Ã½ºÅÛÀ» À§ÇÑ ½ºÆåÆ®·³ °ËÃâ ¾Ë°í¸®ÁòÀÇ °³¼± ¹æ¹ýÀ» Á¦¾ÈÇÏ¿´´Ù. Áú·®Áö¼öº° À̿½ÅÈ£ºí·Ï¿¡ ´ëÇÑ ¼±Çü ±Ù»ç ¹× 2Â÷ Ä¿ºêÇÇÆÃÀÇ °á°ú¸¦ È°¿ëÇÑ ±âÁ¸ÀÇ ½ºÆåÆ®·³ °ËÃâ ¾Ë°í¸®Áò¿¡¼­ ¹«È¿ À̿½ÅÈ£ Á¦°ÅÁ¶°ÇÀ» Ãß°¡ °³¼±ÇÔÀ¸·Î½á Áú·® ½ºÆåÆ®·³ °ËÃ⠽à ¹ß»ýÇÏ´Â ¿À°ËÃâÀ» °³¼±ÇÒ ¼ö ÀÖ´Ù. ¶ÇÇÑ Á¦¾ÈÇÑ ¹æ¹ýÀº ÇÇÅ©À§Ä¡¿ÀÂ÷°¡ º¸Á¤µÈ À¯È¿À̿½ÅÈ£ºí·Ï¿¡ ´ëÇÑ 2Â÷ ÇÇÆà Ŀºê ÀÇ °á°ú¸¦ »ç¿ëÇÏ¿© Áú·® ½ºÆåÆ®·³ÀÇ ÇÇÅ©°ª ÃßÁ¤¿ÀÂ÷¸¦ ÁÙÀÏ ¼ö ÀÖ´Ù. Á¦¾ÈÇÑ ¹æ¹ýÀÇ À¯È¿¼ºÀ» º¸À̱â À§ÇØ ½ÇÁ¦ ÃëµæÇÑ À̿½ÅÈ£¸¦ ÀÔ·ÂÀ¸·Î ¾Ë°í¸®Áò ´Ü°èº° ÄÄÇ»ÅÍ ½Ã¹Ä·¹À̼ÇÀ» ¼öÇàÇÏ¿´´Ù. ¶ÇÇÑ ´Ù¼öÀÇ ÀԷ¿¡ ´ëÇÑ ¿À°ËÃâ À²À» ºñ±³ÇÔÀ¸·Î½á Á¦¾ÈÇÑ ¹æ¹ýÀÌ ±âÁ¸ ¹æ¹ý¿¡ ºñÇØ °ËÃâ ¼º´ÉÀÌ ¿ì¼öÇÔÀ» º¸¿´´Ù.
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(English Abstract)
An improved method of spectrum detection algorithm for mass spectrum analysis system is proposed. In the conventional spectrum detection algorithm that utilizes the results of the linear approximation and quadratic curve fitting on the ion signal block of each mass index, it is possible to reduce the detection error in the mass spectrum detection by further improving the condition of eliminating the invalid ion signals. Also, the proposed method can reduce the estimation error of the peak value of the mass spectrum by using the result of quadratic curve fitting for the effective ion signal block in which the peak position error is corrected. To evaluate the effectiveness of the proposed method, computer simulations were carried out step by step using the measured ion signal. Also, by comparing the rate of false detection for several inputs, the proposed method showed better detection performance than the conventional method.
Å°¿öµå(Keyword) Áú·® ½ºÆåÆ®·³ ºÐ¼®±â   ½ºÆåÆ®·³ °ËÃâ   2Â÷ Ä¿ºê ÇÇÆà  ¼±Çü ÇÇÆà  ÇÇÅ©À§Ä¡¿ÀÂ÷   Mass Spectrum Analyzer   Spectrum Detection   Quadratic Curve Fitting   Linear Fitting   Peak Position Error  
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