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실시간 임베디드 시스템에서의 YOLO 네트워크를 위한 필터 가지치기 기법 연구
고현준(Hyunjun Ko),김재명(Jaemyung Kim),박현재(Hyunjae Park),강진구(Jin-Ku Kang),김용우(Yongwoo Kim) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Recently, object detection networks using Convolutional neural networks (CNNs) have shown outstanding performance in the field of computer vision. However, these networks consist of a large number of parameters and floating-point operations(FLOPs). Therefore, it is difficult to implement the CNN networks to real-time embedded systems such as cars or drones. In this paper, we implement target capacity filter pruning (TCFP) on YOLOv7 and YOLOv8 to reduce the number of parameters and FLOPs. In addition, we analysis networks performance on NVIDIA Jetson Xavier NX. As a result, inference time of YOLOv7 and YOLOv8 is improved about 11.4% and 19.2% on each networks and mAP(0.5:0.95) decreased only about 3.8% and 7% when pruning rate is 50% on COCO dataset.
한국어 읽기 텍스트 분류를 위한 오픈소스 인공지능 기술 성능 평가
김형민 ( Kim Hyeongmin ),고현준 ( Ko Hyunjun ) 국제한국어교육학회 2022 한국어 교육 Vol.33 No.2
The purpose of this study is to evaluate the level of technical completeness of classifying text by subject through analysis of Korean natural language processing(NLP) open-source software related to the currently developed text classification. To this end, after searching for the released NLP software, the accuracy was evaluated using Naver news articles. As a result, it was analyzed that Simple RNN had an accuracy of 78% and LSTM of 80%. In addition, the model was evaluated using < Cyber Korean Intermediate 1&2 >, and it was difficult to determine the accuracy because the training data was different from the evaluation data. However, if text classification technology is applied to Korean language education based on this study, the significance of this study can be found in that it is possible to efficiently manage vast amounts of Korean reading materials and provide texts tailored to learners’ interests. (Korea University·Igalia)
신동신(Dongshin Shin),고현준(Hyunjun Ko),김세형(Sehyung Kim),선지형(Jihyung Seon),윤상민(Sangmin Yoon),이진영(Jinyoung Lee) 대한설비공학회 2015 설비공학 논문집 Vol.27 No.12
This study reviews the discharge coefficient for thermal buoyancy natural ventilation through experimentation. We measure the air velocity at the outlet, which is needed to derive the discharge coefficient and to compare with the theoretical value. When a temperature difference exists between the inside and outside of the building, the measured discharge coefficient differs from the theoretical value with a maximum difference of 12%. The size and position of the openings have little effect on the discharge coefficient. For practical application, the theoretical discharge coefficient can be used with little modification.
효모에 발현된 북방수염하늘소(Monochamus saltuarius) Cellulase gene MsGHF45의 특성에 관한 연구
고현진 ( Hyeon Jin Ko ),고현준 ( Hyunjun Ko ),홍순관 ( Soon Kwan Hong ),박용철 ( Yong Chul Park ) 한국임학회 2016 한국산림과학회지 Vol.105 No.2
화석연료의 고갈 문제로 인하여 다양한 대체에너지가 개발 중이며 본 연구에서는 바이오에탄올 연구의 초석으로 사용하기 위해 곤충의 효소를 연구하였다. 북방수염하늘소(Monochamus saltuarius Gebler)가 지닌 cellulase (MsGHF45) 유전자를 Kluyveromyces lactis에 형질전환 시켰다. 형질전환 된 효모는 활성이 있는 cellulase 효소를 성공적으로 생산하였다. 재조합 MsGHF45의 분자량은 SDS-PAGE와 western blot을 통하여 확인하였다. 효소의 활성은 기질로써 carboxymethyl cellulose를 첨가한 native-PAGE를 통해서 검증하였다. 효소 활성의 최적조건을 알아본 결과, pH는 5에서, 온도는 40℃에서 나타났다. 바륨이온(Ba2+)과 철이온(Fe2+)은 효소활성을 저해하지 않았으나, 칼슘이온(Ca2+), 코발트이온(Co2+), 구리이온(Cu2+), 수은이온(Hg2+), 마그네슘이온(Mg2+), 망간이온(Mn2+) 그리고 아연이온(Zn2+)은 활성을 저해하였다. 특히, 수은이온은 효소활성을 66.5% 감소시켰다. 본 연구는 다양한 효소를 이용한 biofuel 연구에 참고자료로 사용될 것이다. In this study, the cellulase of Monochamus saltuarius (MsGHF45) gene was introduced in Kluyveromyces lactis, successfully. The molecular weight of recombinant enzyme was determined by SDS-PAGE and western blotting. The enzymatic activity was confirmed by native-PAGE containing carboxymethyl cellulose as a substrate. The optimul pH and temperature of recombinant MsGHF45 was pH5 and 40℃. The barium (Ba2+) and ferrous (Fe2+) enhanced enzyme activity, and the mercuty (Hg2+) inhibited its activity.