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구본화,이영현,박정민,정석문,홍우영,김우식,임묘택,고한석,Ku, Bon-Hwa,Lee, Young-Hyun,Pak, Jung-Min,Chung, Suk-Moon,Hong, Woo-Young,Kim, Woo-Shik,Lim, Myo-Taeg,Ko, Han-Seok 한국군사과학기술학회 2009 한국군사과학기술학회지 Vol.12 No.1
This paper proposes robust ship wake search method in the target evasion environment. Moving surface ships generate a long trailing wake in the rear of a surface ship. Wake homing torpedo sensing this wake can detect the surface target and engage it automatically. In wake homing torpedo, wake search method is important element to maximize effectiveness of wake homing torpedo. This paper proposes one-side, two-side and centering mode according to passing wake boundary scenarios. Also, wake deflection angle is deduced by using the principle of deflection angle of acoustic torpedo. The representative experimental results using monte-carlo simulation demonstrate that the searching method using one-side mode is superior to two-side and centering mode in the target evasion environment.
Bon-Hwa Ku(구본화),Gwan-Tae Kim(김관태),Jeong-Ki Min(민정기),Hanseok Ko(고한석) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.1
In this paper, we propose deep convolutional neural network(CNN) with bottleneck structure which improves the performance of earthquake classification. In order to address all possible forms of earthquakes including micro-earthquakes and artificial-earthquakes as well as large earthquakes, we need a representation and classifier that can effectively discriminate seismic waveforms in adverse conditions. In particular, to robustly classify seismic waveforms even in low snr, a deep CNN with 1x1 convolution bottleneck structure is proposed in raw seismic waveforms. The representative experimental results show that the proposed method is effective for noisy seismic waveforms and outperforms the previous state-of-the art methods on domestic earthquake database.
이영현,구본화,정석문,홍우영,고한석,Lee, Young-Hyun,Ku, Bon-Hwa,Chung, Suk-Moon,Hong, Woo-Young,Ko, Han-Seok 한국음향학회 2010 韓國音響學會誌 Vol.29 No.3
This paper proposes a robust detection method for ship wake search using two wake sensors. A long trailing wake in the rear of a surface ship is generated along the track of surface ships. In this paper, we assume that the nearer the surface ship, the stronger wake strength is and a two-sensor based wake homing torpedo can sense for the wake strength. On this assumption we propose a simple wake detection and search method using information of wake strength. Experimental results using monte-carlo simulation demonstrate that the proposed method yields better performance in search time than previous method, which uses a single sensor. Our method is shown faster by about 45 seconds than previous method to achieve the same performance. Also, it can improve the detection performance of torpedo in the case of short wake length. 본 논문에서는 두 개의 항적 센서를 이용한 수상함 항적 탐색 방법을 제안한다. 수상함의 항적은 수상함 후면의 수면 위에 그 이동 자취에 따라 생성된다. 본 논문에서는 항적 반향 강도가 수상함에 가까울수록 강하며 항적 탐지 센서는 항적 반향 강도를 탐지할 수 있다는 가정 아래, 항적 반향 강도를 이용한 효과적인 항적 탐색 방법을 제안하였다. 제안한 탐색 방법의 성능 평가를 위해 몬테카를로 시뮬레이션을 적용하였으며, 실험 결과 제안한 탐색 방법이 기존의 단일 항적 센서를 이용한 탐색 방법에 비해 평균 탐색 시간 측면에서 약 45초 정도의 성능 향상을 나타내었다. 또한, 항적 길이가 짧은 경우에 본 논문에서 제안한 탐색 방법이 기존의 방법에 비해 효율적임을 알 수 있었다.
장재훈,구본화,홍우영,김인익,고한석,Jang, Jae-Hoon,Ku, Bon-Hwa,Hong, Woo-Young,Kim, In-Ik,Ko, Han-Seok 한국군사과학기술학회 2006 한국군사과학기술학회지 Vol.9 No.1
This paper is to analyze the effectiveness of multistatic sonar network based on detection performance. The multistatic sonar network is a distributed detection system that places a source and multi-receivers apart. So it needs a detection technique that relates to decision rule and optimization of sonar system to improve the detection performance. For this we propose a data fusion procedure using Bayesian decision and optimal sensor arrangement by optimizing a bistatic sonar. Also, to analyze the detection performance effectively, we propose the environmental model that simulates a propagation loss and target strength suitable for multistatic sonar networks in real surroundings. The effectiveness analysis on the multistatic sonar network confirms itself as a promising tool for effective allocation of detection resources in multistatic sonar system.
표적 회피기동과 어뢰음향대항체계를 고려한 경어뢰의 효과도 분석
박정민,구본화,이영현,류동기,홍우영,고한석,임묘택,Pak, Jung-Min,Ku, Bon-Hwa,Lee, Young-Hyun,Ryu, Dong-Gi,Hong, Woo-Young,Ko, Han-Seok,Lim, Myo-Taeg 한국시뮬레이션학회 2011 한국시뮬레이션학회 논문지 Vol.20 No.4
어뢰 개발 단계에서는 어뢰의 성능 예측과 운용 방법 습득을 위해 효과도 분석이 실시되고 있다. 이 때 신뢰성 있는 데이터를 획득하기 위해서는 전술 상황을 실제에 가깝게 모델링한 시뮬레이션 프로그램이 필요하다. 경어뢰의 경우 잠수함을 주요표적으로 삼고 있는데, 잠수함의 어뢰 대항 수단인 회피 기동이나 어뢰음향대항체계(TACM)를 상세히 모델링해야 신뢰성 있는 효과도 분석 결과를 획득할 수 있다. 본 논문에서는 잠수함의 운동 특성을 반영하여 회피기동을 모델링하였으며 부유식 기만기, 자항식 기만기, 재머(jammer) 등 다양한 음향대항체계를 고려하여 잠수함 표적을 모델링하였다. 그리고 이러한 모델링을 통해 개발한 시뮬레이션 프로그램을 이용하여 경어뢰의 효과도를 측정하고 분석하였다. In the development phase of a torpedo, the effectiveness analysis is carried out to predict the performance and to learn how to use the torpedo. In order to obtain reliable data, it is required to model the tactical situation closely to the actual one. Because the submarine is a target of a lightweight torpedo, the anti-torpedo countermeasures of a submarine such as evasive maneuvering and TACM (Torpedo Acoustic Counter Measure) should be modeled in detail. In this paper, the evasive maneuvering is modeled reflecting the movement characteristics of the submarine. Furthermore various TACMs such as a floating-type decoy, a self-propelled decoy and jammers are also modeled. Then, effectiveness of a lightweight torpedo is measured and analyzed using the simulation program which is developed through the above modeling procedure.
향상된 초기화 구조를 이용한 측면주사소나 영상 초해상도 영상복원
이준엽,구본화,김완진,고한석,Lee, Junyeop,Ku, Bon-hwa,Kim, Wan-Jin,Ko, Hanseok 한국음향학회 2021 韓國音響學會誌 Vol.40 No.2
This paper deals with a super-resolution that improves the resolution of side scan sonar images using learning-based compressive sensing. Learning-based compressive sensing combined with deep learning and compressive sensing takes a structure of a feed-forward network and parameters are set automatically through learning. In particular, we propose a method that can effectively extract additional information required in the super-resolution process through various initialization methods. Representative experimental results show that the proposed method provides improved performance in terms of Peak Signal-to-Noise Ratio (PSNR) and Structure Similarity Index Measure (SSIM) than conventional methods.
04 포스터 발표 : 환경 화학 분야(PC) ; PC-10 : 농경지 토양 중 PCB의 분포
전황주 ( Hwang Ju Jeon ),구본화 ( Bon Hwa Ku ),남태훈 ( Tae Hun Nam ),김용찬 ( Yong Chan Kim ),이지형 ( Ji Hyoung Lee ),최재일 ( Jae Il Choi ),이성은 ( Sung Eun Lee ) 한국환경농학회 2015 한국환경농학회 학술대회집 Vol.2015 No.-
Polychlorinated biphenyl (PCB) compounds are persistent and hazardous to the environment. They are frequently found in industrial areas because their uses were bound to industrial purposes. However, it has been reported that PCBs can be translocated to agricultural soils via various ways. Therefore, PCBs are also found in agricultural foods including crops. PBCBs are consisted of 209 congeners and analyzed by GC-ECD, GC-MS and HRGC-HRMS. In this study, 27 PCB congeners were used to monitor PCBs in agricultural soil samples collected in Chungcheong and Gyeonggi Provinces. Prior to analyze soil samples, method validations were undertaken to know precision, accuracy, and recovery using #209 PCB congener (DeCB1, decachlorobiphenyl) followed by a method certified Environment Protection Agency. Those validation results were acceptable and all procedures containing soxhlet extractions and column chromatography for clean-up were adopted for analysis. All soil samples were analyzed for their basic properties including soil organic contents and soil pH. All soil samples were undertaken by soxhlet extraction for 16 h. Silicagel column chromatography was employed to clean up the samples and the final eluate was evaporated and then redissolved in toluene after complete dryness. The samples were analyzed using GC-ECD. Some of PCB congeners were found in these analyses and finally needs to be confirmed by GC-Ms and HRGC-HRMS.
번호판 인식 향상을 위한 번호판 검출과 초해상도 융합 방법
송태엽(Tae-Yup Song),이영현(Young-Hyun Lee),김민재(Min-Jae Kim),구본화(Bon-Hwa Ku),고한석(Han-Seok Ko) 한국컴퓨터정보학회 2011 韓國컴퓨터情報學會論文誌 Vol.16 No.4
본 논문에서는 저해상도 영상에서 번호판 인식 성능 향상을 위해 번호판 검출 기술과 초해상도 복원 기술의 융합 방법을 제안한다. 제안된 알고리즘에서 번호판 검출 부분은 구조적 패턴 특징을 기반으로 하였으며, 초해상도 부분은 칼만 필터 기반 순차적 데이터 방법으로 구성된다. 제안한 융합 방법은 입력 영상에서 번호판 검출 여부에 따라 (i) 전체 영상에 대한 초해상도 복원 과정을 거친 후 고해상도 번호판 영상을 얻는 방법과, (ii) 번호판 검출 후 검출된 번호판 영역에 대해 초해상도 복원을 수행하여 고해상도 번호판 영상을 얻는 방법으로 나뉜다. 다양한 환경에서의 모의 실험을 통해 제안된 융합 방법의효용성을 입증하였다. 다양한 환경에서의 모의 실험을 통해 제안된 융합 방법의 효용성을 입증하였다. This paper proposes fusion methods of license plate detection and super-resolution for improving license plate recognition in low-resolution images. In the proposed method, we apply the license plate detection based on local structure pattern feature and the sequential super-resolution based on Kalman filter. The proposed fusion methods are divided into two according to whether the license plate is detected or not in the input image : (i) performing license plate detection after restoring whole image through super resolution, and (ii) restoring only the detected region through super-resolution after detecting the license plate. We demonstrated effectiveness of the proposed methods in various environments.