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Akademický článek

Adsorption-enhanced sonophotocatalytic removal of tetracycline from water using ceria-zirconia (x)CeO2-(1-x)ZrO2 binary oxide nanocatalyst

Autor: Gyuri Kim, Yeonji Yea, Sejoon Park, Seongjun Byeon, Seungbeom Seo, Junhyeong Cho, Chang Min Park

Publikováno v: 대한환경공학회지, Vol 44, Iss 6, Pp 213-215 (2022)

Objectives Tetracycline (TC) antibiotics have a risk of causing gastrointestinal and hepatic disorders and, in rare cases, photosensitivity and deposition in bone tissue. Methods Therefore, it is urgent to develop a technology that can completely rem

Externí odkaz: https://doaj.org/article/2ba86356984c44f1b70c754b8f72578a

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Akademický článek

Development of a Prediction Model for Daily PM2.5 in Republic of Korea by Using an Artificial Neutral Network

Autor: Jin-Woo Huh, Jong-Sang Youn, Poong-Mo Park, Ki-Joon Jeon, Sejoon Park

Publikováno v: Applied Sciences, Vol 13, Iss 6, p 3575 (2023)

This study aims to develop PM2.5 prediction models using air pollutant data (PM10, NO2, SO2, O3, CO, and PM2.5) and meteorological data (temperature, humidity, wind speed, atmospheric pressure, precipitation, and snowfall) measured in South Korea fro

Externí odkaz: https://doaj.org/article/58ae4bbd242f4e7abd1dacf85179f510

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Akademický článek

Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches

Autor: Zeinab Shahbazi, Debapriya Hazra, Sejoon Park, Yung Cheol Byun

Publikováno v: Symmetry, Vol 12, Iss 9, p 1566 (2020)

With the spread of COVID-19, the “untact” culture in South Korea is expanding and customers are increasingly seeking for online services. A recommendation system serves as a decision-making indicator that helps users by suggesting items to be pur

Externí odkaz: https://doaj.org/article/2dfc3fd22bcf4083af91ff836a9853d4

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Akademický článek

Development of a Conjunctivitis Outpatient Rate Prediction Model Incorporating Ambient Ozone and Meteorological Factors in South Korea

Autor: Jeong-Won Seo, Jong-Sang Youn, SeJoon Park, Choun-Ki Joo

Publikováno v: Frontiers in Pharmacology, Vol 9 (2018)

Ozone (O3) is a commonly known air pollutant that causes adverse health effects. This study developed a multi-level prediction model for conjunctivitis in outpatients due to exposure to O3 by using 3 years of ambient O3 data, meteorological data, and

Externí odkaz: https://doaj.org/article/880b5b1fc0224c6a9af212aaab7d8f7a

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Akademický článek

Optimal factory operation planning using electrical load shifting under time-based electric rates

Autor: Jaeil PARK, SeJoon PARK, Changsoo OK

Publikováno v: Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 10, Iss 6, Pp JAMDSM0085-JAMDSM0085 (2016)

The summer season witnesses a tremendous rise in electrical power consumption. To meet this electric demand, the reduction of electrical power demand in summer by improving the efficient utilization of facilities is critical. Currently, power managem

Externí odkaz: https://doaj.org/article/7f2261a4128b484ea49f5425fd8a78b2

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Akademický článek

Reinforced PEI/PVdF Multicore-Shell Structure Composite Membranes by Phase Prediction on a Ternary Solution

Autor: Jihye Chae, Sejoon Park, Dong Young Kim, Han-Ik Joh, Jong Man Kim, Sungho Lee, Seong Mu Jo

Publikováno v: Polymers, Vol 10, Iss 4, p 436 (2018)

To construct a polyetherimide (PEI)-reinforced polyvinylidene fluoride (PVdF) composite membrane with multicore-shell structure, a ternary solution was prepared and electrospun by single-nozzle electrospinning. A theoretical prediction was made for t

Externí odkaz: https://doaj.org/article/67bca4c614ec4836bb26adf9cb18ea07

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Configuration Method of AWS Security Architecture That Is Applicable to the Cloud Lifecycle for Sustainable Social Network

Autor: PARK WONHYUNG, SEJOON PARK, YongJoon Lee

Publikováno v: Security and Communication Networks, Vol 2022 (2022)

Recently, due to the many features and advantages of cloud computing, “cloud service” is being introduced to countless industries around the world at an unbelievably rapid pace. However, with the rapid increase in the introduction of cloud comput

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b2a9bb3d126564bc3a600bc0787f7e
https://doi.org/10.1155/2022/3686423

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DAG-GCN: Directed Acyclic Causal Graph Discovery from Real World Data using Graph Convolutional Networks

Autor: SeJoon Park, Jihie Kim

Publikováno v: 2023 IEEE International Conference on Big Data and Smart Computing (BigComp).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e96f821b5367b7a28252c3222d540d4
https://doi.org/10.1109/bigcomp57234.2023.00065

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Improving Recommendation Accuracy based on Machine Learning using Multi-Dimensional Features of Word2Vec

Autor: Sejoon Park, Byun，Yung-Cheol

Publikováno v: The Journal of Korean Institute of Information Technology. 19:9-14

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38fff4eb6d10a679c685f5fe78a12f69
https://doi.org/10.14801/jkiit.2021.19.3.9

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Analysis of system parameters for one-way carsharing systems

Autor: Wooyeon Yu, SeJoon Park

Publikováno v: Transportation Letters. 14:535-545

Recently, carsharing has emerged as an alternative to vehicle ownership in many countries worldwide. This study examines the system parameters of one-way carsharing systems to determine a trade-off...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5092ca2ed98c573977249eeb8bf6ca2a
https://doi.org/10.1080/19427867.2021.1906476

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