Jiyeong Lee
Biographic Data
| ID | 3934237 |
|---|---|
| NAME | Jiyeong Lee |
| GIVEN NAMES | Jiyeong |
| FAMILY NAME | Lee |
| SIGNATURE | LEE J |
| AFFILIATIONS | University of Seoul |
| ORCID | 0000-0001-6586-8802 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Toward Multimodal Seamless Navigation in Smart Cities: A Critical Review of Positioning, Navigation Data, Route Planning, and Guidance
With the advancement of smart city technologies and the proliferation of Mobility as a Service (MaaS), realizing seamless navigation that continuously connects heterogeneous mobility modes and indoor–outdoor spaces has emerged as a critical challenge. However, existing navigation services operate in a fragmented, siloed manner, segmented by transport mode and spatial environment, and thus possess fundamental limitations in supporting continuous m…
A Voxel-Based Optimal Path Planning Method for UAV Navigation in Smart Cities
Smart mobility has emerged as a sustainable solution to the challenges of traffic congestion and environmental pollution in cities. Within this concept, Urban Air Mobility (UAM) offers a promising approach to three-dimensional (3D) urban transportation. However, existing UAV path planning studies have primarily focused on obstacle avoidance in low-altitude airspace for small UAVs, with limited consideration of continuous and dynamic risks such as…
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
Developing a Model to Express Spatial Relationships on Omnidirectional Images for Indoor Space Representation to Provide Location-Based Services
The unavailability and fragmentation of spatial data are challenges in creating realistic representations of objects and environments in the real world, especially indoors. Among the numerous methods for representing indoor space, the existing research has shown the efficiency and effectiveness of using omnidirectional images. However, they lack information on spatial relationships, so spatial datasets such as the Node-Relation Structure (NRS) mu…
Spatio-Temporal Variability of the Impact of Population Mobility on Local Business Sales in Response to Covid-19 in Seoul, Korea
Social distancing is an effective method for controlling the COVID-19 pandemic by decreasing population mobility, but it has also negatively affected local business sales. This paper explores the spatio-temporal impact of population mobility on local business sales in response to COVID-19 in Seoul, South Korea. First, this study examined the temporal variability by analyzing statistical interaction terms in linear regression models. Second, the s…
An Indoor Space Subspacing Framework for Implementing a 3D Hierarchical Network-Based Topological Data Model
Because requirements for establishing spatial data for location-based services (LBS) have increased in demand together with an increase in the number of complex structures, especially in urban areas, research has revisited the limitations of data models in representing space. Though research and corresponding applications continue to explore indoor spaces, their complete and accurate representation remains a challenge. Indoor space presents a hie…
Discovery and validation of acetyl-L-carnitine in serum for diagnosis of major depressive disorder and remission status through metabolomic approach
Major depressive disorder (MDD) is one of the most common psychiatric disorders that accompany psychophysiological and mood changes. However, the pathophysiology-based disease mechanism of MDD is not yet fully understood, and diagnosis is also conducted through interviews with clinicians and patients. Diagnosis and treatment of MDD are limited due to the absence of biomarkers underlying the pathophysiological mechanisms of MDD. Although various a…
Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications
Spaces are continuous realms where human beings freely navigate, such as from indoor to outdoor and optionally to another indoor space. However, currently available data models to represent space for navigation do not entirely reflect this continuity of freedom and movement. Data conversion or complications in implementation hinder current approaches to link indoor space with outdoor space due to the variety of present data models. Furthermore, t…
A Three-Dimensional Navigable Data Model to Support Emergency Response in Microspatial Built-Environments
Since the 11 September 2001 attacks in the United States and the 7 July 2005 London bombings, geospatial researchers have attempted to utilize GIScience technologies in response to disasters occurring in the microspace of multilevel structures (such as the interior of buildings) in urban areas. Such applications require 3D geographic information systems (GIS) functionalities to represent the three-dimensional structures of urban environments and …
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
A Three-Dimensional Navigable Data Model to Support Emergency Response in Microspatial Built-Environments
Since the 11 September 2001 attacks in the United States and the 7 July 2005 London bombings, geospatial researchers have attempted to utilize GIScience technologies in response to disasters occurring in the microspace of multilevel structures (such as the interior of buildings) in urban areas. Such applications require 3D geographic information systems (GIS) functionalities to represent the three-dimensional structures of urban environments and …
A Three-Dimensional Navigable Data Model to Support Emergency Response in Microspatial Built-Environments
Since the 11 September 2001 attacks in the United States and the 7 July 2005 London bombings, geospatial researchers have attempted to utilize GIScience technologies in response to disasters occurring in the microspace of multilevel structures (such as the interior of buildings) in urban areas. Such applications require 3D geographic information systems (GIS) functionalities to represent the three-dimensional structures of urban environments and …
Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications
Spaces are continuous realms where human beings freely navigate, such as from indoor to outdoor and optionally to another indoor space. However, currently available data models to represent space for navigation do not entirely reflect this continuity of freedom and movement. Data conversion or complications in implementation hinder current approaches to link indoor space with outdoor space due to the variety of present data models. Furthermore, t…
Spatio-Temporal Variability of the Impact of Population Mobility on Local Business Sales in Response to Covid-19 in Seoul, Korea
Social distancing is an effective method for controlling the COVID-19 pandemic by decreasing population mobility, but it has also negatively affected local business sales. This paper explores the spatio-temporal impact of population mobility on local business sales in response to COVID-19 in Seoul, South Korea. First, this study examined the temporal variability by analyzing statistical interaction terms in linear regression models. Second, the s…
An Indoor Space Subspacing Framework for Implementing a 3D Hierarchical Network-Based Topological Data Model
Because requirements for establishing spatial data for location-based services (LBS) have increased in demand together with an increase in the number of complex structures, especially in urban areas, research has revisited the limitations of data models in representing space. Though research and corresponding applications continue to explore indoor spaces, their complete and accurate representation remains a challenge. Indoor space presents a hie…
Discovery and validation of acetyl-L-carnitine in serum for diagnosis of major depressive disorder and remission status through metabolomic approach
Major depressive disorder (MDD) is one of the most common psychiatric disorders that accompany psychophysiological and mood changes. However, the pathophysiology-based disease mechanism of MDD is not yet fully understood, and diagnosis is also conducted through interviews with clinicians and patients. Diagnosis and treatment of MDD are limited due to the absence of biomarkers underlying the pathophysiological mechanisms of MDD. Although various a…
Developing a Model to Express Spatial Relationships on Omnidirectional Images for Indoor Space Representation to Provide Location-Based Services
The unavailability and fragmentation of spatial data are challenges in creating realistic representations of objects and environments in the real world, especially indoors. Among the numerous methods for representing indoor space, the existing research has shown the efficiency and effectiveness of using omnidirectional images. However, they lack information on spatial relationships, so spatial datasets such as the Node-Relation Structure (NRS) mu…
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
A Voxel-Based Optimal Path Planning Method for UAV Navigation in Smart Cities
Smart mobility has emerged as a sustainable solution to the challenges of traffic congestion and environmental pollution in cities. Within this concept, Urban Air Mobility (UAM) offers a promising approach to three-dimensional (3D) urban transportation. However, existing UAV path planning studies have primarily focused on obstacle avoidance in low-altitude airspace for small UAVs, with limited consideration of continuous and dynamic risks such as…
Toward Multimodal Seamless Navigation in Smart Cities: A Critical Review of Positioning, Navigation Data, Route Planning, and Guidance
With the advancement of smart city technologies and the proliferation of Mobility as a Service (MaaS), realizing seamless navigation that continuously connects heterogeneous mobility modes and indoor–outdoor spaces has emerged as a critical challenge. However, existing navigation services operate in a fragmented, siloed manner, segmented by transport mode and spatial environment, and thus possess fundamental limitations in supporting continuous m…
Computer Science (5 works) · 3D Modeling in Geospatial Applications (4 works) · Geographic Information Systems Studies (3 works) · Geography (3 works) · Mathematics (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Automated Road and Building Extraction (2 works) · COVID-19 epidemiological studies (2 works) · Data Management and Algorithms (2 works)