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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö > Çѱ¹°ø°£Á¤º¸ ÇÐȸÁö

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Current Result Document : 6 / 11 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) À¥¼­ºñ½º¿Í ½º¸¶Æ®Æù¾ÛÀ» ÀÌ¿ëÇÑ ¿¬¾ÈÇؾç¸ðµ¨ ¿¹ÃøÀÚ·áÀÇ ½Ã°¢È­½Ã½ºÅÛ ±¸Çö
¿µ¹®Á¦¸ñ(English Title) Geovisualization of Coastal Ocean Model Data Using Web Services and Smartphone Apps
ÀúÀÚ(Author) ³²Çö¿ì   °û¼ö¿µ   Àüö¹Î   Hyunwoo Nam   Suyeong Kwak   Chulmin Jun   ±èÇü¿ì   ±¸º»È£   ¿ì½Â¹ü   ÀÌÈ£»ó   À̾ç¿ø   Hyung-Woo Kim   Bon-Ho Koo   Seung-Buhm Woo   Ho-Sang Lee   Yang-Won Lee  
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 02 PP. 0063 ~ 0071 (2014. 04)
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(Korean Abstract)
ÃÖ±Ù Çؾ緹Æ÷Ã÷ »ê¾÷ÀÌ ºí·ç¿À¼ÇÀ¸·Î ¶°¿À¸£°í Àִµ¥, Çؾ緹Æ÷Ã÷´Â Á¶·ù, ¼ö¿Â, ¿°µµ µî°ú °°Àº ´Ù¾çÇÑ È¯°æÁ¶°Ç¿¡ ¿µÇâÀ» ¹Þ±â ¶§¹®¿¡ °üÃøÀÚ·á »Ó¸¸ ¾Æ´Ï¶ó ¸ðµ¨ ¿¹ÃøÀÚ·áµµ ¸Å¿ì ÇÊ¿äÇÑ Á¤º¸ÀÌ´Ù. º» ¿¬±¸¿¡¼­´Â ¿¬¾ÈÇؾç¸ðµ¨ÀÎ FVCOM(Finite Volume Coastal Ocean Model)¿¡¼­ »êÃâµÈ ¿¹ÃøÀڷḦ À¥ ¹× ½º¸¶Æ®ÆùÀ» ÅëÇØ Á¦°øÇÏ´Â ½Ã°¢È­½Ã½ºÅÛÀ» ±¸ÇöÇÏ¿´´Ù. À̸¦ À§ÇÏ¿© FVCOM ÀÚ·á¿¡ ³»»ð°ú »ùÇøµ µîÀÇ Àü󸮸¦ ÇÏ¿©, Á¶À§, ¼ö¿Â, ¿°µµÀÇ ·¡½ºÅÍ À̹ÌÁö¿Í Á¶·ù(À¯¼Ó, À¯Çâ)ÀÇ º¤ÅÍ µ¥ÀÌÅͺ£À̽º¸¦ ±¸ÃàÇÏ¿´°í, ½ºÇÁ¸µ ÇÁ·¹ÀÓ¿öÅ©(Spring Framework)¸¦ È°¿ëÇÏ¿© REST (Representational State Transfer) ±â¹ÝÀÇ API(Application Programming Interface)¸¦ Á¦°øÇÏ´Â À¥¼­ºñ½º¸¦ ±¸ÃàÇÏ¿´´Ù. ¶ÇÇÑ µ¥ÀÌÅͺ£À̽º ÀڷḦ µ¥½ºÅ©Åé ¹× À̱âÁ¾ÀÇ ½º¸¶Æ®Æù¿¡ žÀç½ÃÅ´À¸·Î½á Å©·Î½ºÇ÷§Æû(cross-platform) ½Ã°¢È­ ȯ°æÀ» ½ÇÇöÇÏ¿´´Ù.
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(English Abstract)
Ocean leisure sports have recently emerged as one of so-called blue ocean industries. They are sensitive to diverse environmental conditions such as current, temperature, and salinity, which can increase needs of forecasting data as well as in-situ observations for the ocean. In this context, a Web-based geovisualization system for coastal information produced by model forecasts was implemented for use in supporting various ocean activities. First, FVCOM(Finite Volume Coastal Ocean Model) was selected as a forecasting model, and its data was preprocessed by a spatial interpolation and sampling library. The interpolated raster data for water surface elevation, temperature, and salinity were stored in image files, and the vector data for currents including speed and direction were imported into a distributed DBMS(Database Management System). Web services in REST(Representational State Transfer) API(Application Programming Interface) were composed using Spring Framework and integrated with desktop and mobile applications developed on the basis of hybrid structure, which can realize a cross-platform environment for geovisualization.
Å°¿öµå(Keyword) ¹Ì½ÃÀû º¸Çà¸ðµ¨   Floor Field Model   Cellular Automata   Microscopic Pedestrian Model   Floor Field Model   Cellular Automata   ¿¬¾ÈÇؾç¸ðµ¨   À¥¼­ºñ½º   ½º¸¶Æ®Æù¾Û   ºÐ»êµ¥ÀÌÅͺ£À̽º   °úÇÐÀû½Ã°¢È­   Coastal information   Web service   Mobile application   Distributed DBMS   Geovisualization  
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