Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Data Digest: µ¥ÀÌÅÍ À̹ÌÁöÈ¿Í ÀÀ¿ë |
¿µ¹®Á¦¸ñ(English Title) |
Data Digest: Data Imagification and Application |
ÀúÀÚ(Author) |
ÀÌÃæÇå
ÃÖ¿øÀÍ
Àü¿µÁØ
Chungheon Yi
Wonik Choi
Youngjun Jeon
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¿ø¹®¼ö·Ïó(Citation) |
VOL 24 NO. 11 PP. 0614 ~ 0622 (2018. 11) |
Çѱ۳»¿ë (Korean Abstract) |
µö ·¯´×°ú ºòµ¥ÀÌÅÍ ±â¼úÀÌ ¹ßÀüÇÔ¿¡ µû¶ó ´ë·®ÀÇ ¿ø½Ã µ¥ÀÌÅ͸¦ Àüó¸®ÇÏ¿© ºÐ¼®À» ¿ëÀÌÇÏ°Ô ÇÒ ¼ö ÀÖ´Â ±â¼úµéÀÌ ¸¹Àº ÁÖ¸ñÀ» ¹Þ°í ÀÖ´Ù. ÀÌ¿¡ º» ³í¹®¿¡¼´Â ÀÌÁúÀûÀÎ °íÂ÷¿ø µ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î Àüó¸®ÇÏ°í ÅëÇÕÇϱâ À§ÇÑ ¹æ¹ýÀ¸·Î¼ µ¥ÀÌÅ͸¦ À̹ÌÁöÀÇ ÇüÅ·Πº¯È¯ÇÏ´Â Data Digest ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀÌ ±â¹ýÀ» ÀÌ¿ëÇÏ¸é ¼·Î ´Ù¸¥ Á¾·ùÀÇ µ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î Àüó¸®ÇÏ°í ÅëÇÕÇÒ ¼ö ÀÖÀ¸¸ç, ÀÌ·¯ÇÑ À̹ÌÁö µ¥ÀÌŸ´Â Àß ¾Ë·ÁÁø µö·¯´× ±â¼ú¿¡ ½±°Ô Àû¿ëµÉ ¼ö ÀÖ´Ù. º» Á¦¾È ¹æ¹ýÀÇ À¯È¿¼ºÀ» º¸À̱â À§ÇÑ ½ÇÁúÀûÀÎ ÀÀ¿ë¿¹·Î¼ µ¥ÀÌÅÍ À̹ÌÁöÈ ±â¹ýÀ» ½Ç³»¿Ü ÃøÀ§ ±â¼ú°ú ÃÖ´ëÀü·Â¼ö¿ä ¿¹Ãø ±â¹ý¿¡ Àû¿ëÇÑ °á°ú¸¦ Á¦½ÃÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
As deep running and big data technologies evolve; technologies that pre-process a huge amount of raw data and thus facilitate the analysis of such data have started receiving much attention. In this paper, we propose a novel method called Data Digest, which transforms heterogeneous and multidimensional data into an image. Using our proposed method, we are able to easily pre-process and integrate different types of data, resulting in creating the possibility for the application of such transformed images in well-known deep learning techniques. To demonstrate the validity of our proposed method, in the present work, we present practical applications such as the internal and outdoor positioning system and the peak power consumption prediction problem using data imagification.
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Å°¿öµå(Keyword) |
µ¥ÀÌÅÍ À̹ÌÁöÈ
µ¥ÀÌÅÍ º¯È¯
½Ç³»ÃøÀ§
Àü·Â¼ö¿ä¿¹Ãø
data imagification
data transformation
indoor positioning system
power consumption prediction
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