Publications

Journal articles

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

M.-H. Jeong, T.Y. Lee, S.B. Jeong, 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

전승배, 오행열, 정명훈. 머신러닝을 이용한 해양수질 등급 추정. 대한공간정보학회, 28(4):145-152, 2020

이태영, 전승배, 정명훈, 최연웅. 택시 기종점 빈번 순차 패턴 분석. 대한토목학회, 39(3):461-467, 2019

정운철, 윤홍식, 정명훈. 재난별 피해예측결과와 연계하기 위한 건축물 인벤토리 구축 방안에 대한 연구. 한국방재학회, 18(3):117-123, 2018

정명훈, 이정환, 윤홍식, 정운철. 프로젝션 기반의 데이터 심도를 이용한 군집분석. 한국지형공간정보학회, 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

이태영, 오행열, 김건, 전승배, 정명훈. GRU를 이용한 고속도로 구간속도 예측. 2020 대한공간정보학회 추계학술대회, 온라인, 대한민국, 2020

오행열, 전승배, 이태영, 이상호, 정명훈. 머신러닝을 활용한 해양 수질 예측. 2020 대한공간정보학회 추계학술대회, 온라인, 대한민국, 2020

김건, 전승배, 이태영, 정명훈. Analytical Hierarchy Process를 이용한 해상 풍력 발전 단지의 최적 위치 선정. 2020 대한공간정보학회 추계학술대회, 온라인, 대한민국, 2020

전승배, 오행열, 이태영, 김건, 정명훈. LSTM 순환 신경망을 이용한 도로 교통 속도 예측. 대한토목학회 정기학술대회, 제주, 대한민국, 2020

전승배, 정명훈, 이태영, 오행열, 김건, 조정호. LSTM 순환 신경망을 이용한 DTG 데이터의 시계열 예측. 2020 한국측량학회 정기학술발표회, 온라인, 대한민국, 2020

이태영, 전승배, 김건, 오행열, 정명훈. PS-InSAR 데이터의 시계열 군집분석과 이상치 탐지. 2020 대한공간정보학회 춘계학술대회, 온라인, 대한민국, 2020

오행열, 김건, 전승배, 이태영, 정명훈. Functional Data Analysis를 이용한 항적 데이터 이상치 탐지. 2019 대한공간정보학회 추계학술대회, 서울, 대한민국, 2019

이태영, 김건, 오행열, 정명훈. 공간자기상관 분석을 이용한 고령인구이동에 따른 지역적 인구구조 변화감지. 대한토목학회 정기학술대회, 평창, 대한민국, 2019

이태영, 전승배, 정명훈. Embarrassingly parallel 데이터 심도 기반 군집 분석 알고리즘. 2019 대한공간정보학회 춘계학술대회, 부산, 대한민국, 2019

전승배, 이태영, 정명훈. Projection method를 이용한 택시 이동데이터 흐름에 대한 outlier 탐지에 관한 연구. 2019 한국측량학회 정기학술발표회, 광주, 대한민국, 2019

전승배, 이태영, 정명훈. Minimum generalized variance를 이용한 비정상적인 택시 이동경로 탐지. 2018 공동추계학술대회 (한국지리정보학회, 한국지형공간정보학회, 한국공간정보학회), 제주, 대한민국, 2018

이태영, 전승배, 정명훈. 택시 기종점 빈번 순차 패턴 분석. 대한토목학회 정기학술대회, 경주, 대한민국, 2018

정명훈, 이태영, 이정환, 이우평. Robust statistics 기법을 이용한 대용량 공간 데이터 밀도 맵 향상에 관한 연구. 한국측량학회 정기학술발표회, 용인, 대한민국, 2018

정명훈, 이정환, 강성수. 견고한 통계치 기법을 사용한 자기공간상관 기법 알고리즘 성능 향상. 한국공간정보학회 공동추계학술대회, 전주, 대한민국, 2017

정명훈, 이정환. 프로젝션 기반의 데이터 뎁스를 활용한 군집 분석. 대한토목학회 정기학술대회, 부산, 대한민국, 2017

Thesis

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