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사이드 스캔 소나 영상에서 수중물체 자동 탐지를 위한 컨볼루션 신경망 기법 적용
김정문,최지웅,권혁종,오래근,손수욱,Kim, Jungmoon,Choi, Jee Woong,Kwon, Hyuckjong,Oh, Raegeun,Son, Su-Uk 한국음향학회 2018 韓國音響學會誌 Vol.37 No.2
본 논문은 사이드 스캔 소나 영상을 컨볼루션 신경망으로 학습하여 수중물체를 탐색하는 방법을 다루었다. 사이드 스캔 소나 영상을 사람이 직접 분석하던 방법에서 컨볼루션 신경망 알고리즘이 보강되면 분석의 효율성을 높일 수 있다. 연구에 사용한 사이드 스캔 소나의 영상 데이터는 미 해군 수상전센터에서 공개한 자료이고 4종류의 합성수중물체로 구성되었다. 컨볼루션 신경망 알고리즘은 관심영역 기반으로 학습하는 Faster R-CNN(Region based Convolutional Neural Networks)을 기본으로 하며 신경망의 세부사항을 보유한 데이터에 적합하도록 구성하였다. 연구의 결과를 정밀도-재현율 곡선으로 비교하였고 소나 영상 데이터에 지정한 관심영역의 변경이 탐지성능에 미치는 영향을 검토함으로써 컨볼루션 신경망의 수중물체 탐지 적용성에 대해 살펴보았다. In this paper, we have studied how to search an underwater object by learning the image generated by the side scan sonar in the convolution neural network. In the method of human side analysis of the side scan image or the image, the convolution neural network algorithm can enhance the efficiency of the analysis. The image data of the side scan sonar used in the experiment is the public data of NSWC (Naval Surface Warfare Center) and consists of four kinds of synthetic underwater objects. The convolutional neural network algorithm is based on Faster R-CNN (Region based Convolutional Neural Networks) learning based on region of interest and the details of the neural network are self-organized to fit the data we have. The results of the study were compared with a precision-recall curve, and we investigated the applicability of underwater object detection in convolution neural networks by examining the effect of change of region of interest assigned to sonar image data on detection performance.
윤길원(Gilwon Yoon),추현호(Hyunho Chu),김정문(Jungmoon Kim),김철우(Chulwoo Kim) 대한전자공학회 2007 대한전자공학회 학술대회 Vol.2007 No.11
In this paper, digitally controlled DC-DC buck converter for DVFS(dynamic voltage frequency scaling) in embedded CPU is presented. The proposed DC-DC converter is designed in a 0.18㎛ CMOS process. VCDL instead of commonly-used A/D converters. Dual VCDLs cancel the temperature variation of VCDLs. The DC-DC converter’s PWM frequency is 1㎒ with 6-bit at the supply voltage of 1.4V to 1.8V and cancels the temperature variation by about 85% between 0℃ and 85℃. Maximum efficiency is 91% at 1.4V with 350㎃.
조향계의 중간축어셈블리 형식 및 조건에 따른 조향 감성품질평가
구광모(Kwangmo Koo),이종화(Jonghwa lee),김정문(Jungmoon kim),박종남(Jongnam park) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
Emotional Quality Criteria of steering system in vehicle is more important and required from customer. Intermediate Shaft Assembly is not only simple design and also, easily mounting to the vehicle. Therefore, purpose of this study is to improve the product engineering of Intermediate shaft assembly by evaluated and analyzed the related quality factors with each type of Intermediate shaft. This study is verified the 5types of Intermediate shaft assembly with following items; noise, torsional stiffness, FFT analysis and emotional quality with looseness grade in bench and vehicle. The results are followings; First, vibration value is small when sti ffness is high in bench and vehicle. Especially, ball-slider type is best stiffness and quality. Second, Vibration value is small when an gle variation is small with lash. For example, Vibration value is increased with minimum lash for 23’and emotional level is evaluate d for 6+.In conclusion, to meet the emotional level for 7-, accepted lash criteria of Intermediate shaft assembly may be considered the maximum lash for 14’ under the loaded the torque for 4N.m when tested.