Publications

T.-Y. Lee, S.-B. Jeon, and M.-H. Jeong. Marine Debris Detection Using Optimized You Only Look Once Version 5 . Sensors and Materials, 35(9:3): 3441-3450, 2023. [doi:10.18494/SAM4477]

S.-B. Jeon, M.-H. Jeong, T.-Y. Lee, and D. Cho. Enhancing Vessel Trajectory Prediction via Novel Loss Function in Deep Learning Model. Sensors and Materials, 35(9:3):3393-3404, 2023. [doi:10.18494/SAM4437]

G. Kim, M.-H. Jeong, S.-B. Jeon and, and MS Khan. Time-Series Analysis of Ship Movements Using Community Detection and Functional Data Analysis across the East Coast of the Republic of Korea. Journal of Coastal Research, 39(2): 360-365, 2023. [doi.org/10.2112/JCOASTRES-D-22TM-00011.1]

H.Y. Oh, and M.-H. Jeong. Grid-based Urban Fire Prediction Using Extreme Gradient Boosting (XGBoost). Sensors and Materials, 34(12): 4879-4890, 2022. [doi.org/10.18494/SAM4194]

H.Y. Oh, MS Khan, S.-B. Jeon and, M.-H. Jeong. Automated Detection of Greenhouse Structures Using Cascade Mask R-CNN. Applied Sciences, 12(11): 5553, 2022. [doi.org/10.3390/app12115553]

T.-Y. Lee, M.-H. Jeong, and A. Peter. Object Detection of Road Facilities Using YOLOv3 for High-definition Map Updates. Sensors and Materials, 34(1): 251-260, 2022. [doi:10.18494/SAM3732]

MS Khan, SB Jeon, and M.-H. Jeong. Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four Machine Learning Model Predictions and Uncertainties in Forest Ecosystem. Remote Sensing, 13(24):4976, 2021. [doi:10.3390/rs13244976]

H.Y. Oh, M.-H. Jeong, S.-B. Jeon, T.-Y. Lee, G. Kim and M. Youm. Sea water quality estimation using machine learning algorithms. Journal of Coastal Research, 114 (SI): 424-428, 2021. [doi:10.2112/JCR-SI114-086.1]

G. Kim, M.-H. Jeong, S.-B. Jeon, T.-Y. Lee, H.Y. Oh and C.S. Park. Determination of optimal locations for offshore wind farms using the analytical hierarchy process. Journal of Coastal Research, 114 (SI): 439-443, 2021. [doi:10.2112/JCR-SI114-089.1]

M.-H. Jeong, T.-Y. Lee, S.-B. Jeon, and M. Youm. Highway speed prediction using gated recurrent unit neural networks. Applied Sciences, 11(7):3059, 2021. [doi:10.3390/app11073059]

Y. Kim, M.-H. Jeong, M. Youm, J. Kim, and J. Kim. Recovery of forest vegetation in a burnt area in the Republic of Korea: A perspective based on Sentinel-2 data. Applied Sciences, 11(6):2570, 2021. [doi:10.3390/app11062570]

M.-H. Jeong, S.-B. Jeon, T.-Y. Lee, M.K. Youm, and D.-H. Lee. Vessel trajectory reconstruction based on functional data analysis using automatic identification system data. Applied Sciences, 10(3):881, 2020. [doi:10.3390/app10030881]

S.-B. Jeon, M.-H. Jeong, T.-Y. Lee, J.-H. Lee, and J.-M. Cho. Bus travel speed prediction using long short-term memory neural network. Sensors and Materials, 32(12:4):4441-4447, 2020. [doi:10.18494/SAM.2020.3111]

T.-Y. Lee, M.-H. Jeong, S.-B. Jeon, and J.-M. Cho. Location optimization of bicycle-sharing stations using multiple-criteria decision making. Sensors and Materials, 32(12:4):4463-4470, 2020. [doi:110.18494/SAM.2020.3125]

M.-H. Jeong, C. J. Sullivan, Y. Gao, and S. Wang. Robust abnormality detection methods for spatial search of radioactive materials. Transactions in GIS, 23(4):860-877, 2019. [doi:10.1111/tgis.12533, pdf]

B. Lu, L. Wang, J. Liu, W. Zhou, L. Guo, M.-H. Jeong, S. Wang, and G. Han. LaSa: Location aware wireless security access control for IoT systems. Mobile Networks and Applications, 24(3):748-760, 2019. [doi:10.1007/s11036-018-1088-x]

M.-H. Jeong, S.B. Jeon, S. Park, and S. Kang. Anomaly detection in taxi flow by a projection method. Sensors and Materials, 31(11:4):3827-3834, 2019. [doi:10.18494/SAM.2019.2565]

S. Park, and M.-H. Jeong. Development of transit bus idling control strategies using geospatial information. Sensors and Materials, 31(10:3):3383-3395, 2019. [doi:10.18494/SAM.2019.2557]

M.-H. Jeong, D.H. Lee, T.Y. Lee, and J.H. Lee. Robust local spatial autocorrelation analysis of massive vessel movements. Journal of Coastal Research, 91(sp1):306-310, 2019. [doi.org/10.2112/SI91-062.1]

H. Huang, K. Qiu, M.-H. Jeong, S.B. Jeon, and W.P. Lee. Detecting anomalous vessel dynamics with functional data analysis. Journal of Coastal Research, 91(sp1):406-410, 2019. [doi.org/10.2112/SI91-082.1]

Y. Gao, T. Li, S. Wang, M.-H. Jeong, and K. Soltani. A multidimensional spatial scan statistics approach to movement pattern comparison. International Journal of Geographical Information Science, 32(7):1304-1325, 2018. [doi:10.1080/13658816.2018.1426859]

M.-H. Jeong, M. Duckham, and S. Bleisch. Graphical aids to the estimation and discrimination of uncertain numerical data. PLoS ONE, 10(10): e0141271, 2015. [doi:10.1371/journal.pone.0141271, pdf]

M.-H. Jeong, and M. Duckham. Decentralized detection of qualitative spatial events in a dynamic scalar field. Sensors, 15(9):21350-21376, 2015. [doi:10.3390/s150921350, pdf]

M.-H. Jeong, M. Duckham, A. Kealy, H. Miller, and A. Peisker. Decentralized and coordinate-free computation of critical points and surface networks in a discretized scalar field. International Journal of Geographical Information Science, 28(1):1-21, 2014. [doi:10.1080/13658816.2013.801578, pdf]

M.-H. Jeong, M. Duckham. Decentralized querying of topological relations between regions monitored by a coordinate-free geosensor network. Geoinformatica, 17(4):669-696, 2013 [doi:10.1007/s10707-012-0174-7, pdf]

Peer-reviewed conference

M.-H. Jeong, J. Yin, and S. Wang. Outlier Detection and Comparison of Origin-Destination Flows Using Data Depth. In Proc. of 10th International Conference on Geographic Information Science (GIScience 2018), volume 114, pages 6:1--6:14, Melbourne, Australia, 2018. [doi:10.4230/LIPIcs.GISCIENCE.2018.6, pdf]

M.-H. Jeong, Y. Cai, C. J. Sullivan, and S. Wang. Data depth based clustering analysis. In Proc. of 24th ACM SIGSPATIAL International Conference on Geographic Information Systems, GIS'16, pages 29:1--29:10, ACM, Burlingame, California, USA, November 2016. [doi:10.1145/2996913.2996984, pdf]

M.-H. Jeong, C. J. Sullivan, and S. Wang. Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. In Proc. IEEE Nuclear Science Symposium & Medical Imaging Conference, France, accepted 2016. [doi:10.1109/NSSMIC.2016.8069703]

M.-H. Jeong, S. Wang, and C. J. Sullivan. Density maps based on data depth. In Proc. of 3rd International Conference on CyberGIS and Geospatial Data Science, Urbana, Illinois, USA, accepted 2016.

M.-H. Jeong, C. J. Sullivan, and S. Wang. Urban search of radioactive materials enhanced by mobile sensor networks and geospatial methods. In IEEE Symposium on radiation measurements and applications, San Francisco, California, USA, accepted 2016.

M.-H. Jeong, C. J. Sullivan, and S. Wang. Complex radiation sensor networks analysis with big data analytics. In Proc. IEEE Nuclear Science Symposium & Medical Imaging Conference, pages 1-4, San Diego, California, USA, 2015. [doi:10.1109/NSSMIC.2015.7581760]

M.-H. Jeong, M. Duckham. A coordinate-free, decentralized algorithm for monitoring events occurring to peaks in a dynamic scalar field. In Proc. of 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pages 437-442, IEEE, April 2013. [doi:10.1109/ISSNIP.2013.6529830, pdf]

M. Duckham, M.-H. Jeong, S. Li, J. Renz. Decentralized querying of topological relations between regions without using localization. In A. Abbadi, D. Agrawal, M. Mokbel, P. Zhang, editors, Proc. of 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'10, pages 414-417, ACM, November 2010. [doi:10.1145/1869790.1869850]

Book chapters

M.-H. Jeong, S. Wang, and C. J. Sullivan. Analysis of dynamic radiation level changes using surface networks. In H. J. Onsrud, and W. Kuhn (Eds.), Advancing Geographic Information Science: The past and Next Twenty Years, Needham, MA: GSDI Association Press, pp. 199-212, 2016. [pdf]

S. Winter, F. Harvey, B. D. Hennig, M.-H. Jeong, T. Trainor, and S. Timpf. Technological and Societal Influences on GIScience. In H. J. Onsrud, and W. Kuhn (Eds.), Advancing Geographic Information Science, Needham, MA: GSDI Association Press, pp. 35-44, 2016.

Other articles

S.B. Jeon, T.Y. Lee, and M.-H. Jeong. Short-term Traffic Speed Prediction of Urban Road Networks using the Integration of Spatio-Temporal Graph Convolutional Networks and Convolutional Neural Networks. In The Association of American Geographers at the AAG Annual Meeting, Denver, Colorado, USA, 2023.

T.Y. Lee, S.B. Jeon, and M.-H. Jeong. Marine Debris Detection Using the Optimized YOLOv5. In International Conference on Aquatic Science & Technology, Jeju, Republic of Korea, 2023.

S.B. Jeon, M.-H. Jeong and T.Y. Lee. Enhancing vessel trajectory prediction by a novel loss function in a deep learning model. In International Conference on Aquatic Science & Technology, Jeju, Republic of Korea, 2023.

G. Kim, H.Y. Oh and M.-H. Jeong. Maritime network analysis based on a community detection method and functional data analysis. In International Multi-Conference on Engineering and Technology Innovation, Taoyuan (Online), Taiwan, 2021.

H.Y. Oh , M.-H. Jeong and G. Kim. Greenhouse detection In aerial photographs using Mask R-CNN . In International Multi-Conference on Engineering and Technology Innovation, Taoyuan (Online), Taiwan, 2021.

M.-H. Jeong, T.Y. Lee, S.B. Jeon, and M. Y. Highway Speed Prediction Using Gated Recurrent Units Neural Networks. In International Multi-Conference on Engineering and Technology Innovation, Taichung (Online), Taiwan, 2020.

G. Kim, M.-H. Jeong, S.B. Jeon, T.Y. Lee, H.Y. Oh and C.S. Park. Development of the optimal locations for offshore wind farms using the analytical hierarchy process. In International Conference on Aquatic Science & Technology, Busan, Republic of Korea, 2020.

H.Y. Oh, M.-H. Jeong, S.B. Jeon, T.Y. Lee and G. Kim. Sea surface temperature prediction using long short-term memory recurrent neural network. In International Conference on Aquatic Science & Technology, Busan, Republic of Korea, 2020.

M.-H. Jeong, T.Y. Lee, and D.H. Lee. Efficient data depth clustering algorithm with Spark. In International Multi-Conference on Engineering and Technology Innovation, Kaohsiung, Taiwan, 2019.

M.-H. Jeong, S.B. Jeon, and D.H. Lee. Vessel trajectory reconstruction based on the data depth of Automatic Identification System data. In International Multi-Conference on Engineering and Technology Innovation, Kaohsiung, Taiwan, 2019.

M.-H. Jeong, D.H. Lee, S. Jeon, and W. Lee. Detecting anomalous vessel dynamics with functional data analysis. In Proc. of 3rd International Water Safety Symposium, Incheon, Republic of Korea, 2018.

M.-H. Jeong, D.H. Lee, T. Lee, and J. Lee. Robust local spatial autocorrelation analysis of massive vessel movements. In Proc. of 3rd International Water Safety Symposium, Incheon, Republic of Korea, 2018.

M.-H. Jeong, S. Kang, S. Jeon, and J. Lee. Detecting taxi trajectory anomalies between regions of interest. In Joint International Symposium of GISUP and KOGSIS, Chuncheon, Kangwon, Republic of Korea, 2018.

M.-H. Jeong, and S. Wang. A robust spatiotemporal hypothesis testing using data depth. In The Association of American Geographers at the AAG Annual Meeting, Boston, Massachusetts, USA, 2017.

M.-H. Jeong, and S. Wang. Robust cluster analysis using data depth. In The Association of American Geographers at the AAG Annual Meeting, San Francisco, California, USA, 2016.

M.-H. Jeong, A. Padmanabhan, and S. Wang. Monitoring radiation level changes with surface networks. In The Association of American Geographers at the AAG Annual Meeting, Chicago, Illinois, USA, 2015.

Articles in Korean

À̶̹õ, ¹®Áö¿ø, Á¤¸íÈÆ. ´ÙÁß¹ÐÁý½Ã¼³ ´ëÇü È­Àç Àç³­À§ÇèºÐ¼®À» À§ÇÑ ÀÌÁ¾ µ¥ÀÌÅÍ À¶ÇÕ ºÐ¼®±â¹ý ¿¬±¸. ´ëÇÑ°ø°£Á¤º¸ÇÐȸÁö, 30(4):95-102, 2022

¿ÀÇà¿­, Àü½Â¹è, ±è°Ç, Á¤¸íÈÆ. ¿µ»ó ±â¹Ý Semantic Segmentation ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ µµ·Î ÃßÃâ. Çѱ¹Ãø·®ÇÐȸÁö, 40(3):239-247, 2022

Àü½Â¹è, ±è°Ç, Á¤¸íÈÆ. Åýà À̵¿ µ¥ÀÌÅÍ ±â¹Ý COVID-19 È®ÁøÀÚ ¼ö¿Í ±³Åë·® °£ÀÇ »ó°ü°ü°è ¹× °ø°£ºÐ¼®. Çѱ¹Ãø·®ÇÐȸÁö, 39(6):609-618, 2021

Àü½Â¹è, Muhammad Sarfraz Khan, ÀÌÁ¤È¯, Á¤¸íÈÆ. ResNetÀ» ÀÌ¿ëÇÑ µµ·Î ³×Æ®¿öÅ© ±³Åë µ¥ÀÌÅÍ ¿¹Ãø. ´ëÇÑ°ø°£Á¤º¸ÇÐȸÁö, 29(2):75-84, 2021

Àü½Â¹è, ¿ÀÇà¿­, Á¤¸íÈÆ. ¸Ó½Å·¯´×À» ÀÌ¿ëÇÑ Çؾç¼öÁú µî±Þ ÃßÁ¤. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ, 28(4):145-152, 2020

ÀÌÅ¿µ, Àü½Â¹è, Á¤¸íÈÆ, ÃÖ¿¬¿õ. Åýà ±âÁ¾Á¡ ºó¹ø ¼øÂ÷ ÆÐÅÏ ºÐ¼®. ´ëÇÑÅä¸ñÇÐȸ, 39(3):461-467, 2019

Á¤¿îö, À±È«½Ä, Á¤¸íÈÆ. Àç³­º° ÇÇÇØ¿¹Ãø°á°ú¿Í ¿¬°èÇϱâ À§ÇÑ °ÇÃ๰ Àκ¥Å丮 ±¸Ãà ¹æ¾È¿¡ ´ëÇÑ ¿¬±¸. Çѱ¹¹æÀçÇÐȸ, 18(3):117-123, 2018

Á¤¸íÈÆ, ÀÌÁ¤È¯, À±È«½Ä, Á¤¿îö. ÇÁ·ÎÁ§¼Ç ±â¹ÝÀÇ µ¥ÀÌÅÍ ½Éµµ¸¦ ÀÌ¿ëÇÑ ±ºÁýºÐ¼®. Çѱ¹ÁöÇü°ø°£Á¤º¸ÇÐȸ, 25(4):89-95, 2017

M.-H. Jeong, Y. Suh. A Study on high resolution image tile map service using open source GIS. The Korea Society for GeoSpatial Information System, 17(1):167-174, 2009.

M.-H. Jeong, Y. Suh. A study on improving the performance of high resolution image web GIS system. The Korean Association of Geographic Information Studies, 11(4):161-171, 2008.

Y.-S. Choi, J.-H. Koh, M.-H. Jeong. The present status of GIS master plans implemented by municipal government and strategy for reforming them in Korea. Journal of Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 19(2):189-198, 2001.

M.-H. Jeong, H.-S. Yun, G.-J. We. Blunder detection by matching strength measurement in digital photogrammetry. Journal of Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 18(2):191-198, 2000.

Conference in Korean

Àü½Â¹è, Á¤¸íÈÆ. µö·¯´× ¸ðµ¨À» È°¿ëÇÑ À§¼º¿µ»ó ¹× AIS µ¥ÀÌÅÍ ±â¹Ý ÇØ¾ç ¸ð´ÏÅ͸µ. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¼­¿ï, ´ëÇѹα¹, 2023

À̹μº, ±èÁÖ¿Ï, ±è±Ô»ó, Àü½Â¹è, Á¤¸íÈÆ. À¯µ¿Àα¸ ±â¹Ý ÇÖ½ºÆÌ ºÐ¼®À» ÅëÇÑ µµ½Ã ¼èÅðºÐ¼®. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¼­¿ï, ´ëÇѹα¹, 2023

ÀÌÅ¿µ, Àü½Â¹è, ÀÌÈñ¿µ, Á¤¸íÈÆ. Generative Adversarial Network¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Áõ°­ ±â¹Ý ¸Ó½Å·¯´× ¿¹Ãø ¸ðµ¨ ¼º´É Çâ»ó. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ¿©¼ö, ´ëÇѹα¹, 2023

Àü½Â¹è, Á¤¸íÈÆ, ÀÌÅ¿µ. ¼±¹Ú ±ËÀû ¿¹Ãø µö·¯´× ±â¹Ý ¸ðµ¨ÀÇ ¼º´É Çâ»óÀ» À§ÇÑ ¼Õ½Ç ÇÔ¼ö Á¦¾È. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ´ëÀü, ´ëÇѹα¹, 2023

ÀÌÅ¿µ, Àü½Â¹è, Á¤¸íÈÆ. Çؾ羲·¹±â ½Ç½Ã°£ °ËÃâÀ» À§ÇÑ Object Detection ¾Ë°í¸®Áò ¼º´É Çâ»ó ¿¬±¸. Çѱ¹Ãø·®ÇÐȸ Ãá°èÇмú´ëȸ, °­ÃÌ, ´ëÇѹα¹, 2023

Àü½Â¹è, ±è°Ç, Á¤¸íÈÆ. Spatial Temporal-Graph Convolutional Networks¸¦ ÀÌ¿ëÇÑ ´ÙÁß µ¥ÀÌÅÍ ±â¹Ý µµ·Î³×Æ®¿öÅ© ±³Åë¼Óµµ ¿¹Ãø. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2022

±è±¤¹è, ¿ìâ¿í, Á¤¸íÈÆ, À±È«½Ä. ÀΰøÁö´É ±â¼úÀ» ÀÌ¿ëÇÑ µ¿ÇØ ¿ï¸ªºÐÁö¿¡¼­ ÀÜ¿© Áß·ÂÀÌ»ó ÃßÁ¤. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2022

±è°Ç, ¿ÀÇà¿­, Àü½Â¹è, Á¤¸íÈÆ. ST-GCNÀ» È°¿ëÇÑ ±¹³» Ç׸¸ ±³Åë·® ¿¹Ãø. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2022

Àü½Â¹è, Á¤¸íÈÆ, ±è°Ç, ¿ÀÇà¿­. µµ·Î³×Æ®¿öÅ© ±³Åë¼Óµµ ¿¹ÃøÀ» À§ÇÑ ´ÙÁß µ¥ÀÌÅÍ ±â¹Ý Convolutional Neural Network ¸ðµ¨. ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2022

¿ÀÇà¿­, Á¤¸íÈÆ, Àü½Â¹è, ±è°Ç. Semantic segmentationÀ» ÀÌ¿ëÇÑ À§¼º ¿µ»óÀÇ µµ·Î °ËÃâ. Çѱ¹Ãø·®ÇÐȸ Ãá°èÇмú´ëȸ, °­ÃÌ, ´ëÇѹα¹, 2022

¿ÀÇà¿­, Á¤¸íÈÆ, ±è°Ç, À̶̹õ, Á¶Á¤È£. XGBoost¸¦ ÀÌ¿ëÇÑ °ÝÀÚ±â¹Ý ´ÙÁß¹ÐÁý½Ã¼³ È­Àç¹ß»ý ¿¹Ãø. Çѱ¹Ãø·®ÇÐȸ Ãß°èÇмú´ëȸ, Á¦ÁÖ, ´ëÇѹα¹, 2021

±è°Ç, ¿ÀÇà¿­, Á¤¸íÈÆ. Functional Data Analysis¸¦ È°¿ëÇÑ Ç׸¸³×Æ®¿öÅ© ºÐ¼®. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ±¤ÁÖ, ´ëÇѹα¹, 2021

Àü½Â¹è, Muhammad Sarfraz Khan, Á¤¸íÈÆ. »ê¸²»ýÅ°èÀÇ ¸Ó½Å ·¯´× ±â¹ýÀ» ÀÌ¿ëÇÑ ÁöÇ¥ ¿¡³ÊÁö Ç÷°½º °áÃø°ª º¸Á¤. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ±¤ÁÖ, ´ëÇѹα¹, 2021

¿ÀÇà¿­, ±è°Ç, Á¤¸íÈÆ, °­ÁöÈÆ. Mask R-CNNÀ» ÀÌ¿ëÇÑ µå·Ð ¿µ»ó¿¡¼­ÀÇ ºñ´ÒÇϿ콺 ŽÁö. 2021 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2021

ÀÌÅ¿µ, Àü½Â¹è, Á¤¸íÈÆ. µö·¯´× ±â¹Ý °´Ã¼°ËÃâ±â¹ýÀ» È°¿ëÇÑ µµ·Î½Ã¼³¹° º¯È­Å½Áö. 2021 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2021

Àü½Â¹è, ÀÌÅ¿µ, Khan Muhammad Sarfraz, Á¤¸íÈÆ. ResNetÀ» ÀÌ¿ëÇÑ µµ·Î ³×Æ®¿öÅ© ±³Åë µ¥ÀÌÅÍ ¿¹Ãø. 2021 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2021

±è°Ç, ¿ÀÇà·Ä, Á¤¸íÈÆ. AIS µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ ´ëÇѹα¹ Ç׸¸ ³×Æ®¿öÅ© ºÐ¼®. 2021 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2021

ÀÌÅ¿µ, ¿ÀÇà¿­, ±è°Ç, Àü½Â¹è, Á¤¸íÈÆ. GRU¸¦ ÀÌ¿ëÇÑ °í¼Óµµ·Î ±¸°£¼Óµµ ¿¹Ãø. 2020 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2020

¿ÀÇà¿­, Àü½Â¹è, ÀÌÅ¿µ, ÀÌ»óÈ£, Á¤¸íÈÆ. ¸Ó½Å·¯´×À» È°¿ëÇÑ ÇØ¾ç ¼öÁú ¿¹Ãø. 2020 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2020

±è°Ç, Àü½Â¹è, ÀÌÅ¿µ, Á¤¸íÈÆ. Analytical Hierarchy Process¸¦ ÀÌ¿ëÇÑ ÇØ»ó dz·Â ¹ßÀü ´ÜÁöÀÇ ÃÖÀû À§Ä¡ ¼±Á¤. 2020 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2020

Àü½Â¹è, ¿ÀÇà¿­, ÀÌÅ¿µ, ±è°Ç, Á¤¸íÈÆ. LSTM ¼øȯ ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ µµ·Î ±³Åë ¼Óµµ ¿¹Ãø. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, Á¦ÁÖ, ´ëÇѹα¹, 2020

Àü½Â¹è, Á¤¸íÈÆ, ÀÌÅ¿µ, ¿ÀÇà¿­, ±è°Ç, Á¶Á¤È£. LSTM ¼øȯ ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ DTG µ¥ÀÌÅÍÀÇ ½Ã°è¿­ ¿¹Ãø. 2020 Çѱ¹Ãø·®ÇÐȸ Á¤±âÇмú¹ßǥȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2020

ÀÌÅ¿µ, Àü½Â¹è, ±è°Ç, ¿ÀÇà¿­, Á¤¸íÈÆ. PS-InSAR µ¥ÀÌÅÍÀÇ ½Ã°è¿­ ±ºÁýºÐ¼®°ú ÀÌ»óÄ¡ ŽÁö. 2020 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ¿Â¶óÀÎ, ´ëÇѹα¹, 2020

¿ÀÇà¿­, ±è°Ç, Àü½Â¹è, ÀÌÅ¿µ, Á¤¸íÈÆ. Functional Data Analysis¸¦ ÀÌ¿ëÇÑ Ç×Àû µ¥ÀÌÅÍ ÀÌ»óÄ¡ ŽÁö. 2019 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãß°èÇмú´ëȸ, ¼­¿ï, ´ëÇѹα¹, 2019

ÀÌÅ¿µ, ±è°Ç, ¿ÀÇà¿­, Á¤¸íÈÆ. °ø°£ÀÚ±â»ó°ü ºÐ¼®À» ÀÌ¿ëÇÑ °í·ÉÀα¸À̵¿¿¡ µû¸¥ Áö¿ªÀû Àα¸±¸Á¶ º¯È­°¨Áö. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, Æòâ, ´ëÇѹα¹, 2019

ÀÌÅ¿µ, Àü½Â¹è, Á¤¸íÈÆ. Embarrassingly parallel µ¥ÀÌÅÍ ½Éµµ ±â¹Ý ±ºÁý ºÐ¼® ¾Ë°í¸®Áò. 2019 ´ëÇÑ°ø°£Á¤º¸ÇÐȸ Ãá°èÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2019

Àü½Â¹è, ÀÌÅ¿µ, Á¤¸íÈÆ. Projection method¸¦ ÀÌ¿ëÇÑ Åýà À̵¿µ¥ÀÌÅÍ È帧¿¡ ´ëÇÑ outlier ŽÁö¿¡ °üÇÑ ¿¬±¸. 2019 Çѱ¹Ãø·®ÇÐȸ Á¤±âÇмú¹ßǥȸ, ±¤ÁÖ, ´ëÇѹα¹, 2019

Àü½Â¹è, ÀÌÅ¿µ, Á¤¸íÈÆ. Minimum generalized variance¸¦ ÀÌ¿ëÇÑ ºñÁ¤»óÀûÀÎ Åýà À̵¿°æ·Î ŽÁö. 2018 °øµ¿Ãß°èÇмú´ëȸ (Çѱ¹Áö¸®Á¤º¸ÇÐȸ, Çѱ¹ÁöÇü°ø°£Á¤º¸ÇÐȸ, Çѱ¹°ø°£Á¤º¸ÇÐȸ), Á¦ÁÖ, ´ëÇѹα¹, 2018

ÀÌÅ¿µ, Àü½Â¹è, Á¤¸íÈÆ. Åýà ±âÁ¾Á¡ ºó¹ø ¼øÂ÷ ÆÐÅÏ ºÐ¼®. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, °æÁÖ, ´ëÇѹα¹, 2018

Á¤¸íÈÆ, ÀÌÅ¿µ, ÀÌÁ¤È¯, ÀÌ¿ìÆò. Robust statistics ±â¹ýÀ» ÀÌ¿ëÇÑ ´ë¿ë·® °ø°£ µ¥ÀÌÅÍ ¹Ðµµ ¸Ê Çâ»ó¿¡ °üÇÑ ¿¬±¸. Çѱ¹Ãø·®ÇÐȸ Á¤±âÇмú¹ßǥȸ, ¿ëÀÎ, ´ëÇѹα¹, 2018

Á¤¸íÈÆ, ÀÌÁ¤È¯, °­¼º¼ö. °ß°íÇÑ Åë°èÄ¡ ±â¹ýÀ» »ç¿ëÇÑ ÀÚ±â°ø°£»ó°ü ±â¹ý ¾Ë°í¸®Áò ¼º´É Çâ»ó. Çѱ¹°ø°£Á¤º¸ÇÐȸ °øµ¿Ãß°èÇмú´ëȸ, ÀüÁÖ, ´ëÇѹα¹, 2017

Á¤¸íÈÆ, ÀÌÁ¤È¯. ÇÁ·ÎÁ§¼Ç ±â¹ÝÀÇ µ¥ÀÌÅÍ µª½º¸¦ È°¿ëÇÑ ±ºÁý ºÐ¼®. ´ëÇÑÅä¸ñÇÐȸ Á¤±âÇмú´ëȸ, ºÎ»ê, ´ëÇѹα¹, 2017

Thesis

M.-H. Jeong. Qualitative characteristics of fields monitored by a resource-constrained geosensor network. Ph.D dissertation, University of Melbourne, 2014. [pdf]