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리튬-이온전지 팩을 이용한 자립형 발전 시스템 설계 및 구현
이원곡(Won-Gok Lee),백지훈(Ji-Hun Back),최진구(Jin-Ku Choi) 한국정보기술학회 2012 한국정보기술학회논문지 Vol.10 No.3
In this paper, a stand-alone power system with energy storage using both renewable energy sources and lithium-ion battery has been proposed. Photovoltaic array and wind turbine have been used as renewable energy sources, and the battery pack of 500W power has been implemented as connecting the lithium-lion battery cells in series/parallel. As implementing the cell balancing in order to protect battery in the battery pack, safety was tested by measuring temperature, voltage and current of battery pack. DC/DC converter and DC/AC inverter to be used as AC power have been also designed for renewable energy sources as well as battery pack. The capacity of the system suggested in this paper has been proved by comparing the system using AC power and SMPS(switching mode power supply). Experimental results proved that the suggested system reduced electric energy consumption by approximately 20%.
이원곡(Won-Gok Lee),백지훈(Ji-Hun Back),안준(June Ahn),최진구(Jin-Ku Choi) 한국정보기술학회 2011 한국정보기술학회논문지 Vol.9 No.8
As developing Information Technology, various industries applied IT are appearing. Similarly, it’s developing to apply IT in the motor vehicle industry. In this paper, the Real Time Vehicle Tracking & Management System using GPS, WCDMA module and Bluethooth has been implemented. As this system sends the real-time vehicle location information to web-server via TCP/IP using WCDMA, users can get real time information onto web. Besides, when a vehicle is stolen, user can control his/her stolen vehicle with application service as sending the vehicle control order through web-server. When driving, this system can receive the exact vehicle status information through CAN communication of OBD-II and send the information to user’s smart phone via Bluetooth. Users can get vehicle information for management & information for indicating eco-driving to save fuels through application on smart phone. The Vehicle Location Tracking Service and the Vehicle Antitheft Service have been implemented in this system as web services. The Eco-driving Indicating Function as well as the Vehicle Management Service on smart phone have been also implemented. Hereafter, these technologies can be used as Telematics and Infortainment with smart phone.
백지훈 ( Ji-hun Back Won ),이원곡 ( Gok Lee ),최진구 ( Jin-ku Choi ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1
본 논문에서는 차량의 네트워크를 통해서 차량의 상태를 확인하고 관리하는 것과 차량에 대한 위치를 실시간으로 추적하는 원격에서 차량을 제어하는 시스템을 설계하고 구현하였다. 차량의 상태는 CAN 네트워크를 통해서 차량의 정보를 획득하였으며, 실시간 추적을 위해서 GPS 기반으로 WCAMA 이용하여 구현하였다. 설계에서 구현한 시스템을 테스트를 하였으며 차량 관리 및 도난 방지 시스템 및 텔레매틱스를 서비스 활용이 가능하다.
소성가공 분야에서 인공지능 적용을 위한 절단면 이미지 동기화 기법
박정민(Jeong-min Park),김성규(Seong-kyu Kim),이원곡(Won-gok Lee),배유석(You-seok Bae) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
뿌리산업(소성 가공업)의 노후화된 업무 운영방식으로 인해 전문인력의 고령화, 생산현장 노하우 전수의 어려움, 작업 보조 미숙련 작업자의 생산성 저하 등의 문제 등이 발생한다. 4차 산업혁명에 발맞춰 뿌리산업 분야에서도 인공지능기술을 적용하여 위의 문제를 해결하는 것이 트랜드이다. 본 논문에서는 소성가공분야에서 인공지능에 적용할 수 있는 이미지 전처리 기법을 영상처리를 통해 구현한다.
영상처리 및 딥러닝을 이용한 레미콘 슬럼프 질기 식별 및 분석
최근오(Geun-Oh Choi),김성규(Seong-Kyu Kim),이원곡(Won-Gok Lee),이종세(Jong-Se Lee),배유석(You-Suk Bae) 한국정보기술학회 2022 한국정보기술학회논문지 Vol.20 No.1
The quality management of the slump of ready-mixed concrete is currently inspected by sampling, which is less accurate than the full-scale inspection, and it takes longer to use the current method. In this paper, instead of the current method using a slump cone, a method of grasping the toughness of a concrete slump based on video images acquired through a camera was described. This method was implemented using basic image processing and Optical Flow of Local Binaray Pattern (LBP) and Gray-Level Co-occurrence Matrix (GLCM), and then a long short-term memory current neural network (LSTM) was used to analyze the slump.
소성가공 분야에서 인공지능을 이용한 절단면 이물질 검출
김대철(Dae-Cheol Kim),박정민(Jeong-Min Park),이수민(Su-Min Lee),홍인희(In-Hee Hong),김성규(Seong-Kyu Kim),이원곡(Won-Gok Lee),배유석(You-Seok Bae) 한국정보기술학회 2022 한국정보기술학회논문지 Vol.20 No.2
The aging operation method of the root industry (plastic processing industry) causes problems such as aging of professional personnel, difficulty in transferring know-how at production sites, decreasing productivity of unskilled workers, inaccuracy and quality of visual inspection-based systems. In line with the fourth industrial revolution, it is a trend to solve the above root industry problems by establishing a smart factory applying artificial intelligence technology. In this paper, cutting surfaces foreign material detection techniques are implemented through artificial intelligence object detection to reduce the occurrence of defects in forging processes in the plastic processing field. In addition, acurancy and mean Average Precision (mAP) were compared with the detection results of Fast-RCNN, SSD, and Yolo to prove the possibility of establishing a smart factory optimized for the plastic processing industry.