Project in Progress

Project1 : 승강기 가용시간 증가를 위한 운영 및 관리 기술 개발(Development of Operation and Management Service Technology to Increase The Available Elevator Time)
[Sponsorship : Korea Evaluation Institute of Industrial Technology]


Elevators are the main means of transportation in buildings, and sudden breakdowns cause considerable inconvenience to the movement of people and cargo, and can threaten the safety of users due to inability to cope with emergency situations or causing safety accidents. It is very important to maintain and manage. Foresight-based elevator maintenance and maintenance collects and analyzes various elevator operation data and sensor data to predict the possibility of failure of each elevator according to usage conditions and frequency of use.Therefore, inspections and repairs can be performed before the predicted failure occurs. The purpose of this study is to predict the time of occurrence of hazardous failure.



Project2 : 보행 분석을 통한 퇴행성 관절염 진행 단계 예측 알고리즘 개발(Development of an Algorithm to Predict the Progression of Degenerative Arthritis through Gait Analysis
[Sponsorship : TIPS Institute]


Parkinson's syndrome is a progressive neurodegenerative disease characterized by symptoms such as slow movement, tremors at rest, muscle stiffness, dragging walking, and a bent posture. . The selection of the stage of Parkinson's syndrome is determined by the in charge of the patient based on external symptoms and various types of test results. The cost of the test is high and it acts as a burden to patients. Therefore, this study aims to alleviate the burden by developing a diagnostic reference program for Parkinson's syndrome that converts data to be used for diagnostic evaluation by medical staff through a 3D depth camera, and lowering the test price.



Project3 : 빅데이터 기반 사출공정 불량률 개선 알고리즘 개발(Development of Big Data-based Injection Process Defect Rate Improvement Algorithm
[Sponsorship : LG Electronics]


Injection molding is one of the plastic molding methods, and is a method of manufacturing a molded article corresponding to a cavity of a mold by heating a thermoplastic resin and injecting the thermoplastic resin into a cavity of a mold in a flow state to cool the same in a mold. In injection molding, molding conditions that affect various molding defects include temperature, injection speed, pressure, and cooling speed. Since various molding conditions affect defective products, detailed analysis is difficult and partial analysis takes a lot of time. Therefore, this study aims to increase the yield of AI-based anomaly detection models and injection molding processes through data collected from injection machines and sensors mounted on injection molds.



Project4 : AI 기반 OLED 시뮬레이션(AI Based Organic Light Emitting Diode(OLED) Simulation)
[Sponsorship : LG Display]


In OLED, the color and intensity of the device vary depending on the thickness and material of the structure. In particular, the color sensitively acts on the EML layer, which is a light-emitting body, and the ETL and HTL layers attached to the EML layer. By implementing OLED of various structures without conducting actual experiments, users can explore the optimal structure, color and intensity.



Completed Project

빅데이터 기반 발전설비 고장정지 예측 알고리즘 개발(Development of Big Data-based Power Generation Facility Failure Stop Prediction Algorithm)
[Sponsorship : Korea Midland Power Co.,Ltd.]

열화상 카메라를 활용한 원자력 발전소 발전설비 진단(Diagnosis of Nuclear Power Plant Power Generation Facilities using Thermal Imaging Camera)
[Sponsorship : Korea Hydro & Nuclear Power Co.,Ltd]

공유 모빌리티를 활용한 스마트 경로 추천 알고리즘 개발(Development of Smart Route Recommendation Algorithm using Shared Mobility)
[Sponsorship : National Research Foundation of Korea]

인천광역시 버스 노선 관리 시스템 개편 및 효율성 연구(Incheon Metropolitan City Bus Route Management System Reorganization and Efficiency Research)
[Sponsorship : Incheon Metropolitan City]

자산관리를 적용한 스마트 조선소 구현(Implementation of Smart Shipyard with Asset Management)
[Sponsorship : Ministry of Trade, Industry and Energy]

소셜 미디어 데이터를 활용한 영화 관객 수 예측 알고리즘 개발(Development of an Algorithm for Predicting the Number of Movie Audiences using Social Media Data)
[Sponsorship : National Research Foundation of Korea]

ResearchTeam


Paper

    2021
  1. Analysis of Success and Failure Factors of OTT Service Contents According to the Rating: Focus on Netflix / ( Ji Soo Hong, Jin Soo Park, Sung Woo Kang) / J. Soc. Korea Ind. Syst. Eng. Vol.44 No.4 December 2021
  2. A Study on Machine Failure Improvement Using F-RPN(Failure-RPN): Focusing on the semiconductor etching process / ( Hyung Geun Lee, Yong Min Hong, Sung Woo Kang ) / J. Korea Saf. Manag.Sci. Vol.23 No.3 September 2021
  3. Identifying Process Capability Index for Electricity Distribution System through Thermal Image Analysis / ( Hyung Geun Lee, Yong Min Hong, Sung Woo Kang ) / J Korea Soc Qual Manag Vol. 49, No.3: 327-340 September 2021
  4. Infrared Thermal Image-Based Sustainable Fault Detection for Electrical Facilities / ( Ju Sik Kim, Kyu Nam Choi, Sung Woo Kang ) / Sustainability 2021, 13, 557.

    5. 2020
  5. Exploring correlation between micro-blog posts and domestic box-office grosses from Large-scale Twitter Data / (Under Review)

    6. 2018
  6. Location Analysis and Selection of Power Plants for Effective Production of Solar Energy / ( Lee GiHyun, Lee GeonJu, Kang SungWoo ) / Korea Energy Economics Institute Vol. 17 No.2 September 2018

    7. 2017
  7. A Study of Correlation Analysis between Increase / Decrease Rate of Tweets Before and After Opening and a Box Office Gross / (Ji-Yun Park, In-Hyeok Yoo, Sung-Woo Kang ) / J. Korea Saf. Manag.Sci. Vol. 19 No.4 December 2017
  8. A case study for analyzing the optimal location for a solar power plant via AHP analysis with fine dust and weather information / (Geon Ju Lee, Gi Hyun Lee, Sung Woo Kang) / J. Korea Saf. Manag.Sci. Vol. 19 No.4 December 2017

Prize