Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Sebeom Park"'
1
Akademický článek
Review of Microsoft HoloLens Applications over the Past Five Years
Autor: Sebeom Park, Shokhrukh Bokijonov, Yosoon Choi
Publikováno v: Applied Sciences, Vol 11, Iss 16, p 7259 (2021)
Since Microsoft HoloLens first appeared in 2016, HoloLens has been used in various industries, over the past five years. This study aims to review academic papers on the applications of HoloLens in several industries. A review was performed to summar
Externí odkaz: https://doaj.org/article/ab61c36175ca4cfab9a33e3672b3bd1e
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2
Akademický článek
Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers
Autor: Sebeom Park, Yosoon Choi
Publikováno v: Applied Sciences, Vol 11, Iss 10, p 4525 (2021)
In this study, we developed a system to collect and analyze log data related to truck travel times in underground mines using Bluetooth beacons and tablet computers. When a signal from beacons installed at a major underground mine is received by a tr
Externí odkaz: https://doaj.org/article/a0315be7f5604d448d58eda5f312c874
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3
Akademický článek
Design and Simulation of a New Intermodal Automated Container Transport System (ACTS) Considering Different Operation Scenarios of Container Terminals
Autor: Sung-Ho Hur, Chaeyoung Lee, Hong-Seung Roh, Sebeom Park, Yosoon Choi
Publikováno v: Journal of Marine Science and Engineering, Vol 8, Iss 4, p 233 (2020)
In this study, we have designed a new intermodal automated container transport system (ACTS) via a roll-on/roll-off method that connects a logistics hub between a port and inland. Further, we have presented the development of a simulation model and t
Externí odkaz: https://doaj.org/article/1d5c7de8e9db4b41aef0dbd3ea268bc3
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4
Akademický článek
Review of GIS-Based Applications for Mining: Planning, Operation, and Environmental Management
Autor: Yosoon Choi, Jieun Baek, Sebeom Park
Publikováno v: Applied Sciences, Vol 10, Iss 7, p 2266 (2020)
In this study, geographic information system (GIS)-based methods and applications utilized for mine development were reviewed. Three types of GIS-based studies, namely studies on mine planning, operation, and environmental management, were examined t
Externí odkaz: https://doaj.org/article/37337bd8799949eea0d53331098ac83a
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5
Prediction of Ore Production in a Limestone Underground Mine by Combining Machine Learning and Discrete Event Simulation Techniques
Autor: Choi, Sebeom Park, Dahee Jung, Yosoon
Publikováno v: Minerals; Volume 13; Issue 6; Pages: 830
This study proposes a novel approach for enhancing the productivity of mining haulage systems by developing a hybrid model that combines machine learning (ML) and discrete event simulation (DES) techniques to predict ore production. This study utiliz
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::a088c219a16b476a2544e640e6f46257
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8
Estimating Ore Production in Open-pit Mines Using Various Machine Learning Algorithms Based on a Truck-Haulage System and Support of Internet of Things
Autor: Hoang Nguyen, Trung Nguyen-Thoi, Sebeom Park, Yosoon Choi, Xuan-Nam Bui
Publikováno v: Natural Resources Research. 30:1141-1173
This study aimed to develop and assess the feasibility of different machine learning algorithms for predicting ore production in open-pit mines based on a truck-haulage system with the support of the Internet of Things (IoT). Six machine learning alg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc7a2756ea34401ec3804b86c3024b05
https://doi.org/10.1007/s11053-020-09766-5
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9
Diagnosis of Problems in Truck Ore Transport Operations in Underground Mines Using Various Machine Learning Models and Data Collected by Internet of Things Systems
Autor: Hoang Nguyen, Dahee Jung, Sebeom Park, Yosoon Choi
Publikováno v: Minerals, Vol 11, Iss 1128, p 1128 (2021)
Minerals
Volume 11
Issue 10
This study proposes a method for diagnosing problems in truck ore transport operations in underground mines using four machine learning models (i.e., Gaussian naïve Bayes (GNB), k-nearest neighbor (kNN), support vector machine (SVM), and classificat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8275591f6baac863057d3133f00b2c98
https://www.mdpi.com/2075-163X/11/10/1128
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10
Bluetooth Beacon-Based Mine Production Management Application to Support Ore Haulage Operations in Underground Mines
Autor: Yosoon Choi, Sebeom Park
Publikováno v: Sustainability
Volume 13
Issue 4
Sustainability, Vol 13, Iss 2281, p 2281 (2021)
In this study, a mine production management application (app) using a Bluetooth beacon and tablet PC was developed to support the efficient operation of an underground mine loading-transport system. The app receives signals from the Bluetooth beacons
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d0d214db45bc4e422b23e6e249c7e4
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