Won Kyung Lee

ORCID: 0000-0003-3465-6094
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Research Areas
  • Psychology of Social Influence
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Telomeres, Telomerase, and Senescence
  • Urban Transport and Accessibility
  • Human-Automation Interaction and Safety
  • Human Mobility and Location-Based Analysis
  • Genomics and Chromatin Dynamics
  • Time Series Analysis and Forecasting
  • Intellectual Property and Patents
  • Migration, Ethnicity, and Economy
  • Complex Network Analysis Techniques
  • Traffic control and management
  • Evacuation and Crowd Dynamics
  • Data Management and Algorithms
  • Chromosomal and Genetic Variations
  • Emotions and Moral Behavior
  • Plant Molecular Biology Research
  • Law, AI, and Intellectual Property
  • Technology and Data Analysis
  • Integrated Circuits and Semiconductor Failure Analysis
  • Interdisciplinary Research and Collaboration
  • Metallurgy and Material Science
  • Advances in Cucurbitaceae Research
  • Behavioral Health and Interventions

Yonsei University
2012-2025

Daresbury Laboratory
2024

Seoul National University
2021

Johns Hopkins Medicine
2007

Johns Hopkins University
2007

Because of the remarkable developments in robotics recent years, technological convergence has been active this area. We focused on finding patterns within robot technology using network analysis patents both USPTO and KIPO. To identify variables that affect convergence, we used quadratic assignment procedures (QAP). From our analysis, observed patent ecology related to found technologies have great potential converge with other technologies. The results study are expected contribute setting...

10.1371/journal.pone.0165091 article EN cc-by PLoS ONE 2016-10-20

Solving the supply-demand imbalance is most crucial issue for stable implementation of a public bike-sharing system. This gap can be reduced by increasing accuracy demand prediction considering spatial and temporal properties bike demand. However, only few attempts have been made to account both features simultaneously. Therefore, we propose framework based on graph convolutional networks. Our reflects not dependencies among stations, but also various patterns over different periods....

10.1371/journal.pone.0220782 article EN cc-by PLoS ONE 2019-09-16

Both genomes in chloroplasts and mitochondria of plant cell are usually inherited from maternal parent, with rare exceptions. To characterize the inheritance patterns organelle cucumber (Cucumis sativus var. sativus), two inbred lines their reciprocal F1 hybrids were analyzed using an next generation whole genome sequencing data. Their complete chloroplast sequences de novo assembled, a single SNP was identified between parental lines. Two have same parents. Meanwhile, 292 polymorphic sites...

10.1038/s41598-021-81988-w article EN cc-by Scientific Reports 2021-01-28

Telomeres are nucleoprotein complexes at the end of eukaryotic chromosomes. Many telomere-binding proteins bind to telomeric repeat sequences and further generate T-loops in animals. However, it is not clear if they regulate telomere organization using epigenetic mechanisms how molecules involved regulating telomeres. Here, we show direct interactions between protein, AtTRB2 histone deacetylases, HDT4 HDA6, vitro vivo. mediates associations HDA6 with repeats. Telomere elongation found...

10.1093/nar/gkw067 article EN cc-by-nc Nucleic Acids Research 2016-02-08

Taxi vacancy duration is a major efficiency measure for taxi services. A clear understanding of the various factors and their effect on necessary optimal operational management taxis. Previous research has only dealt with by assuming probability distributions not investigated heterogeneity in data caused factors. We develop parametric model using new characteristics but also variables associated demand, such as weather, land use, demographics, socioeconomic variables, accessibility public...

10.1080/03081060.2017.1340025 article EN Transportation Planning and Technology 2017-06-16

Other SectionsABSTRACTINTRODUCTIONFUNCTION OF EPIGENETIC REGULATORS AND REGULATORY FACTORS TELOMERIC CHROMATIN IN ARABIDOPSISPERSPECTIVESACKNOWLEDGEMENTSREFERENCES

10.5483/bmbrep.2019.52.3.047 article EN cc-by-nc BMB Reports 2019-03-31

A multivariate time-series forecasting has great potentials in various domains. However, it is challenging to find dependency structure among the variables and appropriate time-lags for each variable, which change dynamically over time. In this study, I suggest partial correlation-based attention mechanism overcomes shortcomings of existing pair-wise comparisons-based mechanisms. Moreover, propose data-driven series-wise multi-resolution convolutional layers represent input data domain...

10.1609/aaai.v34i10.7132 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2020-04-03

Technology leakage in small and medium enterprises (SMEs) is a critical issue because while the number of main technologies SMEs small, these are crucial to their survival. Related factors must be identified prevent technology from SMEs. In this paper, we use logistic regression find significant Korean SMEs, focusing on three aspects: characteristics technology, prevention strategy, firm’s R&D characteristics. We survey conducted by related national institutions. According results our...

10.1080/09537325.2016.1181746 article EN Technology Analysis and Strategic Management 2017-04-02

The particulate matter (PM)2.5 forecasting has been being advanced with the development of deep learning methods. However, most them do not consider active population exposed to air pollution. We propose apply a population-based centrality weight cost function model, reflecting both residential and changes in populations. This gives higher penalties for prediction errors more densely populated areas terms Also, are applied population. proposed was two types models, long-and-short term...

10.1186/s40537-024-01012-6 article EN cc-by-nc-nd Journal Of Big Data 2024-11-05

This study investigates recommendations for interdisciplinary research collaboration based on the weak ties theory. Contents-based features are proposed to recommend considering that some researchers who have shown a preference could be connected even if they dissimilar profiles. Therefore, we inferred of every researcher, and considered such as highlighting depending their preferences. The designed typical similarity measures when do not prefer collaboration. We evaluated our with baseline...

10.1145/3110025.3120990 article EN 2017-07-31

미국 대통령 예선은 선거인단이 시차를 두고 여러 회에 걸쳐 진행되는 특징이 있음에도 많은 연구가 진행되지 않았다. 본 연구에서는 다양한 자기로지스틱 모형을 통해 예비선거 결과와 사회경제적 변수간의 시공간 의존성의 관계를 파악하고자 한다. 2016년 데이터에 적용한 분석결과 각 카운티의 노년층, 흑인, 여성 그리고 히스패닉 인구 비율이 높은 지역일수록 힐러리 클린턴을 지지할 확률이 것으로 나타났다. 또한, 주변 카운티에서 지지를 받은 후보가 이웃 지역에서도 많이 받을 높고 이전 선거에서 받는 것과 다음 선거 지역의 결과 간의 상관관계도 확인되었다. 의존성을 알아보기 위한 모형 중에서 슈퍼화요일의 결과가 이후 선거와 관련이 있다고 가정한 모형의 설명력이 가장 판명되었다. The US presidential primaries take place sequentially in different places with a time lag. However, they have not...

10.5351/kjas.2017.30.2.215 article EN Korean Journal of Applied Statistics 2017-04-30
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