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Heo, Jeongyun,Lim, Chang-Keun,Kim, Youngsun,Cho, Hong-Jun,Lee, Yong-Deok,Maeng, Joon-ho,Ahn, Dae-Ro,Lee, Sangyoup,Bang, Joona,Park, Soo Young,Kim, Sehoon The Royal Society of Chemistry 2016 Chemical communications Vol.52 No.6
<P>The precise detection of endogenous H2O2 has been considered to be a useful tool for understanding cell physiology. Here, we have developed a nanoreactor co-incorporated with a H2O2-responsive fluorogenicmolecule and a catalytic additive. The fast sensing kinetics allows us to visualize a subcellular response in real-time.</P>
Analysis of Impact Between Data Analysis Performance and Database
민경주,Jeongyun Cho,Manho Jung,Hyangbae Lee 한국정보통신학회 2023 Journal of information and communication convergen Vol.21 No.3
Engineering or humanities data are stored in databases and are often used for search services. While the latest deep-learningtechnologies, such like BART and BERT, are utilized for data analysis, humanities data still rely on traditional databases.Representative analysis methods include n-gram and lexical statistical extraction. However, when using a database, performancelimitation is often imposed on the result calculations. This study presents an experimental process using MariaDB on a PC,which is easily accessible in a laboratory, to analyze the impact of the database on data analysis performance. The findingshighlight the fact that the database becomes a bottleneck when analyzing large-scale text data, particularly over hundreds ofthousands of records. To address this issue, a method was proposed to provide real-time humanities data analysis web servicesby leveraging the open source database, with a focus on the Seungjeongwon-Ilgy, one of the largest datasets in the humanitiesfields.
Automatic wall slant angle map generation using 3D point clouds
Kim, Jeongyun,Yun, Seungsang,Jung, Minwoo,Kim, Ayoung,Cho, Younggun Electronics and Telecommunications Research Instit 2021 ETRI Journal Vol.43 No.4
Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.
Optimization for Large-Scale n-ary Family Tree Visualization
민경주,Jeongyun Cho,Manho Jung,Hyangbae Lee 한국정보통신학회 2023 Journal of information and communication convergen Vol.21 No.1
The family tree is one of the key elements of humanities classics research and is very important for accurately understanding people or families. In this paper, we introduce a method for automatically generating a family tree using information on interpersonal relationships (IIPR) from the Korean Classics Database (KCDB) and visualize interpersonal searches within a family tree using data-driven document JavaScript (d3.js). To date, researchers of humanities classics have wasted considerable time manually drawing family trees to understand people’s influence relationships. An automatic family tree builder analyzes a database that visually expresses the desired family tree. Because a family tree contains a large amount of data, we analyze the performance and bottlenecks according to the amount of data for visualization and propose an optimal way to construct a family tree. To this end, we create an n-ary tree with fake data, visualize it, and analyze its performance using simulation results.