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개방형 구조의 실시간 고속 영상 압축 및 복원 시스템의 개발 및 성능 최적화
정영훈(Young Hoon Jeong),전진웅(Jin Woong Jun),홍상기(Sang Gi Hong),김재호(Jae Ho Kim) 한국화상학회 2000 한국화상학회지 Vol.6 No.1
This paper, we implemented a high-speed image processing system based on the open architecture which can compress the still image at the rate of 30 frames a second, and it can also store, transmit and decompress the data at the same rate. This system can be used for not only image compression and decompression system but also general-purpose image processing system with the extensibility and the flexibility in high speed processing. In the view of hardware, we used the excellent performance fixed point DSP TMS320C6201 and also designed an efficiency architecture which shares continuous input data into the related devices on the system. For the purpose of the various performances and the extensibilities, we used several FPGAS on this system; which are to get the variable environments and specifications - inspection system, image (do)compression system, identification system, object tracking system. In a software viewpoint, we adopt software pipelining and intrinsic techniques based on efficiency data allocation in 8 units of VLIW architecture. Finally, we verify the H/w and S/W performances by the implementation of JPEG system.
3D Printing Monitoring System Based on Supervised Machine Learning
송호종,김태성,정구상,전진웅 사단법인 한국융합기술연구학회 2023 아시아태평양융합연구교류논문지 Vol.9 No.3
One of the additive manufacturing processes that is quickly evolving is metal 3D printing. Selective laser melting (SLM) is one of the popular methods for metal 3D printing. Although it has many advantages and capabilities, there are still unsolved problems like process monitoring and printing reliability. Printing high-quality robust products require appropriate parameter settings and real-time monitoring. In order to satisfy the requirement, we propose a new monitoring system based on multiple sensors that can measure the index of different quality affecting parameters of SLM 3D printing. The system serves to improve printing quality; it involves supervised machine learning to predict the expected tensile strength of the printed product. We trained the machine learning model on our new “tensile strength” dataset which includes multiple sensing data and indexes of tensile strength. While collecting data we printed products that have a tensile strength between 449 and 506 MPa. A number of SLM 3D printing tests are carried out to show the viability of the proposed approach. After testing the tensile strength of the printed product, test results were compared to the results of the tensile strength predicting model. According to experiments, the monitoring system showed satisfactory results predicting expected tensile strength. The highest accuracy has been achieved with Multiple Linear Regression, recording 97%. The monitoring system helps not only to predict the tensile strength of the printing product but also to find optimal parameter settings of the SLM printer.
Interlock 기능이 있고, 차폐성능이 우수한 전기자동차用 100A급 커넥터 개발
이봉이(Bongyi Lee),장문규(Moonkyu Jang),전진웅(Jinwoong Jeon),김대기(Daegee Kim) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
Recently, a development of electric vehicle is being accelerated. Electric vehicles use high-voltage/high-current for power source. Accordingly, electric reliability and safety of connector is very important. Two for them are EMI performance and Interlock. We developed 100A high-voltage connector with interlock and outstanding shielding performance for EV. Developed connector is tested by PHSA(Power Harness Screening Attenuation) test method that can be used for testing high-voltage connector and reflect real car conditions.