Search Results - "Jinwoo, Song"

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  1. 1

    Augmented reality and digital twin system for interaction with construction machinery by Hasan, Syed Mobeen, Lee, Kyuhyup, Moon, Daeyoon, Kwon, Soonwook, Jinwoo, Song, Lee, Seojoon

    “…Smart construction utilizes the latest IoT "smart" technologies, such as Cyber-Physical Systems, to aid in construction processes. A Cyber-Physical System…”
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    Journal Article
  2. 2

    Delamination Detection Framework for the Imbalanced Dataset in Laminated Composite Using Wasserstein Generative Adversarial Network-Based Data Augmentation by Kim, Sungjun, Azad, Muhammad Muzammil, Song, Jinwoo, Kim, Heungsoo

    Published in Applied sciences (01-11-2023)
    “…As laminated composites are applied more commonly, Prognostics and Health Management (PHM) techniques for the maintenance of composite systems are also…”
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    Journal Article
  3. 3

    Smart Facility Management System Based on Open BIM and Augmented Reality Technology by Chung, Suwan, Cho, Chung-Suk, Song, Jinwoo, Lee, Kyuhyup, Lee, Seojoon, Kwon, Soonwook

    Published in Applied sciences (01-11-2021)
    “…With the wave of the Fourth Industrial Revolution, the construction industry is also witnessing the application of numerous state-of-the-art technologies…”
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    Journal Article
  4. 4

    Advances in Fault Detection and Diagnosis for Thermal Power Plants: A Review of Intelligent Techniques by Khalid, Salman, Song, Jinwoo, Raouf, Izaz, Kim, Heung Soo

    Published in Mathematics (Basel) (01-04-2023)
    “…Thermal power plants (TPPs) are critical to supplying energy to society, and ensuring their safe and efficient operation is a top priority. To minimize…”
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    Journal Article
  5. 5

    A Fault Detection System for Wiring Harness Manufacturing Using Artificial Intelligence by Song, Jinwoo, Kumar, Prashant, Kim, Yonghawn, Kim, Heung Soo

    Published in Mathematics (Basel) (01-02-2024)
    “…Due to its simplicity, accuracy, and adaptability, Crimp Force Monitoring (CFM) has long been the standard for fault detection in wiring harness manufacturing…”
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    Journal Article
  6. 6

    Non-Contact Detection of Delamination in Composite Laminates Coated with a Mechanoluminescent Sensor Using Convolutional AutoEncoder by Park, Seogu, Song, Jinwoo, Kim, Heung Soo, Ryu, Donghyeon

    Published in Mathematics (Basel) (01-11-2022)
    “…Delamination is a typical defect of carbon fiber-reinforced composite laminates. Detecting delamination is very important in the performance of laminated…”
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    Journal Article
  7. 7

    Prognostics and Health Management of the Robotic Servo-Motor under Variable Operating Conditions by Lee, Hyewon, Raouf, Izaz, Song, Jinwoo, Kim, Heung Soo, Lee, Soobum

    Published in Mathematics (Basel) (01-01-2023)
    “…A robot is essential in many industrial and manufacturing facilities due to its efficiency, accuracy, and durability. However, continuous use of the robotic…”
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    Journal Article
  8. 8

    A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency by Song, Jinwoo, Cho, Seong Hee, Kim, Seokgoo, Choi, Joo-Ho

    Published in Aerospace (01-09-2024)
    “…In industrial system health management, prognostics play a crucial role in ensuring safety and enhancing system availability. While the data-driven approach is…”
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    Journal Article
  9. 9

    Synthetic Data and Computer-Vision-Based Automated Quality Inspection System for Reused Scaffolding by Kim, Alexander, Lee, Kyuhyup, Lee, Seojoon, Song, Jinwoo, Kwon, Soonwook, Chung, Suwan

    Published in Applied sciences (01-10-2022)
    “…Regular scaffolding quality inspection is an essential part of construction safety. However, current evaluation methods and quality requirements for temporary…”
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    Journal Article
  10. 10

    Augmented Reality-Based BIM Data Compatibility Verification Method for FAB Digital Twin implementation by Song, Jinwoo, Park, Sanghyeon, Lee, Kyuhyup, Bae, Jinhyun, Kwon, Soonwook, Cho, Chung-Suk, Chung, Suwan

    Published in Buildings (Basel) (01-11-2023)
    “…With the advancement of state-of-the-art technologies, the semiconductor industry plays a key role as an essential component in the manufacture of various…”
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    Journal Article
  11. 11

    Analysis of accuracy factor and pre-processing methodology of image compensation for 3D reconstruction using 2D image obtained from unmanned aerial vehicle (UAV) by Moon, Daeyoon, Lee, Kyuhyup, Ko, Hyunglyul, Kwon, Soonwook, Lee, Seojoon, Song, Jinwoo

    “…Unmanned aerial vehicles (UAVs) are widely utilized in civil engineering due to the ease of use of UAVs in aerial monitoring tasks. A UAV-based mapping system…”
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    Journal Article
  12. 12

    Improvement of Fuel Economy and Greenhouse Gases Reduction in Gasoline Powered Vehicles Through the TWC-NOx Trap Catalyst by Song, Jinwoo, Choi, Muyoung, Lee, Jun, Kim, Ji Man

    “…The three way catalyst NOx trap catalyst (TWC-NT) is consisted of a conventional three way catalyst (TWC) compositions and NOx storage material (NSM) to…”
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    Journal Article
  13. 13

    A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management by Khalid, Salman, Song, Jinwoo, Azad, Muhammad Muzammil, Elahi, Muhammad Umar, Lee, Jaehun, Jo, Soo-Ho, Kim, Heung Soo

    Published in Mathematics (Basel) (01-09-2023)
    “…This review paper addresses the critical need for structural prognostics and health management (SPHM) in aircraft maintenance, highlighting its role in…”
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    Journal Article
  14. 14

    A fast browsing model for web contents on wearable devices by Jinwoo Song, Ming Jin, Honguk Woo

    “…In this paper, we revisit the Web browser model and propose the notion of fast-access browsing that incorporates lightweight, always-on Web snippets, namely…”
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    Conference Proceeding
  15. 15

    Multi-size wide kernel convolutional neural network for bearing fault diagnosis by Kumar, Prashant, Raouf, Izaz, Song, Jinwoo, Prince, Kim, Heung Soo

    Published in Advances in engineering software (1992) (01-12-2024)
    “…•Bearing fault diagnosis is done by a multi-size convolutional neural network.•Multi-size wide-kernel design enabled effective local and global feature…”
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    Journal Article
  16. 16

    Mitigating Insider Threat Risks in Cyber-Physical Manufacturing Systems by Song, Jinwoo

    Published 01-01-2021
    “…Cyber-Physical Manufacturing System (CPMS)—a next generation manufacturing system—seamlessly integrates digital and physical domains via the internet or…”
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    Dissertation
  17. 17

    Detecting clusters and tracing management of water distribution system using space–time scan statistics and utility network modeling by Lee, Juwon, Nam, Sook-Hyun, Koo, Jae-Wuk, Shin, Yonghyun, Kim, Eunju, Song, Jinwoo, Hwang, Tae-Mun

    “…Water-quality incidents in the water supply can occur because of errors in pressurization plant operations, leaks, and pollutant infiltration. They lead to…”
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    Journal Article
  18. 18

    Real-time fatigue crack prediction using self-sensing buckypaper and gated recurrent unit by Hwang, Hyeonho, Song, Jinwoo, Kim, Heung Soo, Chattopadhyay, Aditi

    “…Aircraft is regarded as a collection of modern technologies from throughout all industries. However, it is inevitable to develop defects during its service…”
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    Journal Article
  19. 19

    Rapidly Grown Hexagonal Organic Microtubes Using Ionic Liquids for an Enhanced Optical Waveguide Effect (Advanced Optical Materials 22/2024) by Kim, Do Wan, Kim, Jongchan, Baek, Yongmin, Choi, Kyusung, Kim, Jiyoun, Yoo, Sung Ho, Song, Jinwoo, Choi, Jihoon, Noh, Heesoh, Lee, Kyusang, Jang, Jae‐Won, Park, Dong Hyuk

    Published in Advanced optical materials (05-08-2024)
    “…Hexagonal Organic Microtubes for Optical Waveguide Effect One‐dimensional waveguides are critical components for various optoelectronic applications. In this…”
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    Journal Article
  20. 20

    Depression Detection via Influence-based Relabeling for Resolving Training Set Noise by Tu, Mei, Zhao, Ziang, Wu, Jinting, Lee, Jaehun, Lee, Hwangrae, Song, Jinwoo

    “…Early depression detection research employs machine learning models trained on crowd-sourcing data. The training data easily suffer from label noise due to…”
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    Conference Proceeding