|
 |
留덊쓷�쓣 �쐞�븳 湲곗뼲�닔�뾽 |
|
| 저자 | ����떎 �엳�뜲�궎(�뿭�옄: �옣���二�) |
| 출판사 | �떆�뱶�럹�씠�띁 |
|
 |
嫄곗쓽 紐⑹쟾�뿉 �떦�룄�븳 5G�쓽 誘몃옒 |
|
| 理쒓렐 5G�쓽 �떆���媛� �뿴由щ㈃�꽌, �씠 遺꾩빞�뿉 ����븳 �쟾 �꽭怨꾩쟻�씤 �������쟻 �닾�옄�뒗 臾댁꽑 �넻�떊湲곗닠�씠 蹂댁뿬以� 誘몃옒�뿉 ����븳 �솗�떊�씠�떎. 2019�뀈 �꽑吏� 寃쎌젣�뿉�꽌 �떆�옉�릺�뼱 媛쒕컻�룄�긽援��쑝濡� 踰덉쭏 �씠 �븘�씠�뀥�씠 鍮꾩쫰�땲�뒪��� �냼鍮꾩옄�뱾�뿉寃� �겮移� �쁺�뼢��� 臾댁뾿�씪源�? �넻�떊 �쉶�궗�뱾�뿉寃뚮뒗 �뼱�뼡 湲고쉶瑜� �젣怨듯븯�뒗媛�? |
|
|
 |
Biometrics Brings a |
|
| Every individual has a set of unique characteristics that can be used to confirm his identity. Fingerprints, the pattern of the iris, and DNA can all be captured, filed, and then compared at a later date. |
|
|
 |
Human + Machine |
|
| 저자 | Paul R. Daugherty �쇅 |
| 출판사 | Harvard Business Review Press |
|
 |
�꽭�씪利덈㎤�씠 �븘�땲�씪 �긽�떞媛�媛� �릺�뼱�씪 |
|
| 저자 | 吏� 罹먯떆移대Ⅴ�듃(�뿭�옄: �씠醫낆쿋) |
| 출판사 | 吏��썕 |
|
[321]권 
