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[ÀÚ¿¬°úÇÐ] »ýÈÇнÇÇè - Siderophore type detection ¹× ¹ß»ö¹ÝÀÀÀ» ÅëÇÑ siderophoreÀÇ ÀÛ¿ë±â È®ÀÎ / Title - Siderophore type detection ¹× ¹ß»ö¹ÝÀÀÀ» ÅëÇÑ siderophoreÀÇ ÀÛ¿ë±â È®ÀÎ Purpose - Siderophore typeÀÌ ¹«¾ùÀÎÁö È®ÀÎÇÏ°í, column ÈÄ ±× ŸÀÔÀÌ ¹ß»öÇÑ ½Ã·á¸¦ ¸ð¾ÆSilicagel TLC¸¦ ÅëÇØ ³ªÅ¸³ ½ºÆÌÀÇ ¹ß»ö¹ÝÀÀÀ» ÅëÇÑ siderophoreÀÇ ÀÛ¿ë±â¸¦ È®ÀÎÇÑ´Ù. Principl¡¦ |
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¡¥ Á¤¸® 5. ½ÇÇè °á°ú ¹× ÀÀ¿ë ºÐ¾ß 28DNAdetection / 1. ½ÇÇèÀÇ µ¿±â, ÀÇÀÇ 2. Background Knowledge 3. ½ÇÇè ¹æ¹ý ¹× °á°ú 4. ¿ä¾à ¹× Á¤¸® 5. ½ÇÇè °á°ú ¹× ÀÀ¿ë ºÐ¾ß / ½ÇÇèÀÇ µ¿±â ¹× ÀÇÀÇ PCRº¸¡¦ |
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³ª³ë¼ÒÀç¼³°èÀÔ¹® ¹ßÇ¥ ÇÁ·ÎÁ§Æ® - LSPRÀ» ÀÌ¿ëÇÑ DNA detection (¹ÙÀÌ¿À ¼¾¼ or ¹ÙÀÌ¿ÀĨ ¿¡°üÇÑ Àü¹ÝÀûÀÎ ³»¿ë) Label-Free Detection of PNA-DNA Reaction Using Localized Surface Plasmon Resonance¡¦ |
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À½¼º¿¡¼ Pitch detection (ÇÇÄ¡ °è»ê, ÇÇÄ¡ ã±â)¿¡ ´ëÇÑ ¾Ë°í¸®ÁòÀ» ¿ÀÅä ÄÚ¸±·¹À̼Ç( Auto correlation) À» ÀÌ¿ëÇÏ¿© ±¸Çö. 3°³ÀÇ ½ÇÇè wav ÆÄÀÏÀÌ µ¿ºÀ. ÁÖ¼®À¸·Î ÇÁ·Î±×·¥ÀÌ ¼³¸íµÇ¾î ÀÖ°í, Á¢±Ù¹æ½Ä°ú °á°ú¿¡ ´ëÇÑ ºÐ¼® µîÀÌ º¸°í¼¿¡ ÷°¡µÇ¾î ÀÖ´Ù. º»ÀÎÀÌ Á÷Á¢ ³ìÀ½ÇÑ wav ÆÄÀϵµ Àû¿ëÇÒ ¼ö ÀÖ´Ù. 10 / 10 Á¡ ¹ÞÀº ¼Ò(á³)ÇÁ·ÎÁ§Æ®. / À½¼º¿¡¼ Pitch detection (ÇÇÄ¡ °è»ê, ÇÇ¡¦ |
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¹Ì±¹´ëÇÐ ºòµ¥ÀÌÅÍ ¿¢½º·¹ÀÌ »çÁø Æó·Å ŽÁö ¸ðµ¨ ÇÁ·ÎÁ§Æ® ¹ßÇ¥ÀÚ·á Kaggle Competition RSNA Pneumonia Detection Project Presentation / RSNA Pneumonia Detection Competition Problem / Object¡¦ |
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¡¥ È帧µµ Scale-space extrema detection Accurate Keypoint Localization Orientation assignment Keypoint de½ºÅ©¸³Æ®or Detector De½ºÅ©¸³Æ®or Scale-space extrema detection Accurate Keypoi |
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¡¥rensic diagnostics µî¿¡¼ ƯÁ¤ ¹°ÁúÀ» detectionÇÏ´Â µ¥¿¡ ÁÖ·Î È°¿ëµÈ´Ù. °¡Àå ¸ÕÀú È°¿ëµÈ ¿¹´Â glucose¿Í proteinÀÇ ³óµµ¸¦ ¾Ë¾Æ³»±â À§ÇÑ urine analysis¿´´Ù. (Fig.1.) Fig.1. Urine analysis with paper-based microfluidics 1.1.3 Analysis method AnalyteÀÇ detection, quantificationÀ» À§ÇØ colorimetric, electrochemical, chemiluminescence, electro chemiluminescence¡¦ |
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¡¥ ´Ù½Ã ºñÁ¤»óÀûÀÎ ÇàÀ§¿¡ ´ëÇÑ Ä§ÀÔŽÁö(anomaly detection)¿Í ¿À¿ëħÀÔŽÁö(misuse detection)·Î ³ª´¶´Ù. ºñÁ¤»óÀûÀÎ ÇàÀ§¿¡ ´ëÇÑ Ä§ÀÔŽÁö(anomaly detection)´Â ½Ã½ºÅÛ ¶Ç´Â »ç¿ëÀÚÀÇ ÇàÀ§°¡ Á¤»óÀûÀÎ ÇàÀ§·ÎºÎÅÍ ¹þ¾î³µÀ» ¶§¸¦ ŽÁöÇÏ´Â ¹æ¹ýÀ¸·Î Á¤»óÀûÀÎ ÇàÀ§¿¡ ´ëÇÑ ºÐ¼® ¹× ÆÇÁ¤À» À§ÇØ Åë°èÀû ¹æ¹ýÀ̳ª ½Å°æ¸Á(Neural Network) ½Ã½ºÅÛ µîÀ» »ç¿ëÇÏ°Ô µÈ´Ù. ¸¸¾à ħÀÔÀÌ À߸ø Ž¡¦ |
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¡¥ayer Nanochip (LSPRÀ» ÀÌ¿ëÇÑ ´Ü¹éÁú detection) - ¹ÙÀÌ¿ÀĨ¿¡ °üÇÑ Àü¹ÝÀûÀÎ / ¸ñÂ÷ Introduction Experimental Results & Discussion Conclusion & Future direction º»¹®ÀϺΠIntroduction LS¡¦ |
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1) IDS(Intrusion Detection System) »ç¿ëÀÚ¼ö Áõ°¡ : ÀÀ´äÀÚ Áß IDS »ç¿ëÀÚ¼ö´Â 98³â 35%¿¡¼, 9... / 1) IDS(Intrusion Detection System) »ç¿ëÀÚ¼ö Áõ°¡ : ÀÀ´äÀÚ Áß IDS »ç¿ëÀÚ¼ö´Â 98³â 35%¿¡¼, 99³â 42%, 2000³â 50%, 2001³â 61%·Î Á¡Â÷ Áõ°¡ÇÏ¿´´Ù. ÀÌ´Â ¿ÜºÎ·ÎºÎÅÍÀÇ ½Ã½ºÅÛħÇظ¦ ŽÁöÇϰųª ÀÎÅͳÝÁ¢¼ÓÀ¸·Î ÀÎÇÑ ÇÇÇØ Áõ°¡¸¦ ÁöÀûÇÑ ÀÀ´äÀÚ°¡ °è¼Ó ´Ã¾î³ª°í ÀÖ´Â Á¡°ú¡¦ |
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