도입 Shallot(Allium cepa var. ascalonicum Backer)의 정식기 및 재식거리가 생육 및 수량에 미치는 영향

류영우,서전규,황해준,정희돈 한국원예학회 1999 원예과학기술지 Vol.17 No.2

뉴 바우하우스(New Bauhaus)의 寫眞 敎育이 現代寫眞에 끼친 影響

劉永祐 국민대학교 1987 造形論叢 Vol.6 No.1

선저고정형 소나의 탐지성능 향상을 위한 빔 안정화 빔형성 기법

류영우,Ryu, Young-Woo 한국군사과학기술학회 2008 한국군사과학기술학회지 Vol.11 No.3

Hull-Mounted Sonar(HMS) has been the main equipment to detect and track underwater threats like torpedoes and enemy submarines. The HMS has short warming-up time and is employable independently with sea-state and weather condition. But these bad environmental condition and ship maneuvering make ship's roll and pitch. Ship's roll and pitch make unstability of sensor position, then cause degradation of the HMS performance. In this paper, we will show how the unstability influences the HMS performance, propose the 'Beam Stabilization Beamforming Technique' to overcome these phenomenon. And present the effectiveness of proposed technique by comparing with conventional beamforming result.

다큐멘타리 寫眞의 樣式에 관한 事例硏究

劉永祐 국민대학교 1986 造形論叢 Vol.5 No.1

사과박 , 참깨박 및 계분 혼합 볏짚 Silage 급여가 한우의 육성율 , 채식행동 및 경제성에 미치는 영향

류영우,고영두,이상무 ( Y . W . Ryu,Y . D . Ko,S . M . Lee ) 한국축산학회 1998 한국축산학회지 Vol.40 No.3

This study was conducted to determine the effects of roughages types of R(rice straw), RAS silage[apple pomace 40% + rice straw 60% + sesame oil meal 15%(DM 15% addition of apple pomace + rice straw)] and RAC silage[apple pomace 40% + rice straw 60% + cage layer excreta 30%(DM 30% addition of apple pomace + rice straw)] on daily gain, eating behavior, economical efficiency and carcass characteristics of Korean Native Cattle. The results obtained were as follows: Body weight gain was high in the order of RAC silage $gt; RAS silage $gt; R treatment. Daily gain was the highest at RAC silage treatment as 1.36㎏, but R treatment was the lowest as 1.27㎏. Eating time, ruminating time and bolus number were high in the order of R $gt; RAS silage $gt; RAC silage treatment at 7 months(P$lt;0.05, 0.01), and chewing number was high in the order of R $gt; RAC silage $gt; RAS silage treatment(P$lt;0.05). Eating time, ruminating time, blows number, urinating number and excreting number were lower RAC silage treatment than R and RAS silage treatment at 11 months(P$lt;0.01). Eating time and ruminating time at 15 months were higher RAS silage and RAC silage treatment than R treatment(P$lt;0.01), but bolus number, chewing number urinating number and excreting number were not significantly affected by the treatments. Net income according to the treatments was high in the order of RAC silage(476,498 won) $gt; RAS silage(447,139 won) $gt; R treatment(304,332 won). As mentioned above the results, RAS and RAC silage feeding were highly evaluated about improvement of body weight gain, raughage cost and quantity grade for Korean native cattle.

사과박 , 참깨박 및 계분 혼합비율이 볏짚 사일리지의 품질에 미치는 영향

류영우,고영두,이상무 ( Y . W . Ryu,Y . D . Ko,S . M . Lee ) 한국축산학회 1998 한국축산학회지 Vol.40 No.3

An experiment was conducted to determine the effects of mixing ratio of rice straw(R), apple pomace(A), sesame oil meal(S) and cage layer excreta(C) on feed quality of rice straw silage. Various mixing ratios of the ingedients into silage were used in this study. There were 3 RA silages with mixing ratios of R and A; RA1 of 50 and 50?g RA2 of 40 and 60%, RA3 of 30 and 70%, respectively. The RAS silages 1 through 9 contained R, A and S with mixing ratios of 50+50+10, 50+50+15, 50+50+20, 60+40+10, 60+40+15, 60+40+20, 70+ 30+10, 70+30+15 and 70+30+20, respectively. On the other hand, the RAC silages 1 through 9 consisted of R, A and C with the mixing ratios of 50+50+10, 50+50+20, 50+50+30, 60+40+10, 60+40+20, 60+40+ 30, 70+30+10, 70+30+20 and 70+30+30. The average crude protein and crude fat contents of RAS silage were higher than the other ones(P$lt;0.01). Especially, crude protein content of RAS silages 3 was the highest (14.26%). The crude protein and crude fat contents of RAS silages increased by the addition of sesame oil meal. Crude fiber content was the highest at RA silage 3 (30.14%), but RAC silage 9 was the lowest (20.99%). Crude ash content was the highest at RAC silage 9 (17.72%), but RA silage 1 was the lowest (5.68%). The average NDF, ADF and cellulose contents of RA silages were higher than those of RAS and RAC silages. the average hemicellulose content was the lowest at RAC silage(P$lt;0.01), but its ligin content was the highest. The average pH value of silage was high in the order of RAC $gt; RAS $gt; RA. Acetic acid was high in the order of RAS $gt; RA $gt; RAC. Propionic acid was not detected at RA and RAS silages, but was at the RAC silages. Especially, the 7 and 8 silages of RAS were higher than the others. Lactic acid was high in the order of RAC $gt; RA $gt; RAS. Especially, RAC silage 9 was the highest (6.318%), but RAS silage 4 was the lowest (0.357%).

한국 풍경사진의 사례연구

劉永祐 국민대학교 2002 造形論叢 Vol.21 No.-

다큐멘타리 寫眞의 事例硏究 -미중서부풍경

劉永祐 국민대학교 1988 造形論叢 Vol.7 No.1

소수 불균형 데이터의 심층학습을 통한 능동소나 다층처리기의 표적 인식성 개선

류영우,김정구 한국음향학회 2024 韓國音響學會誌 Vol.43 No.2

능동소나는 은밀하게 기동하는 수중 물체를 탐지하기 위해 음파를 송신하여 표적에서 반사되어 돌아오는신호를 탐지한다. 그러나 능동소나의 수신 신호에는 표적의 반향음 외에도 해저면/해수면의 잔향, 생물 소음 및 기타잡음 등이 섞여 있어 표적 인식을 어렵게 한다. 기존의 문턱값 이상의 신호를 탐지하는 기법은 설정한 문턱값에 따라오탐지가 발생하거나 표적을 놓치는 경우가 발생할 뿐 아니라 다양한 수중환경마다 적절한 문턱값을 설정해야하는문제가 있다. 이를 극복하기 위해 Constant False Alarm Rate(CFAR) 등의 기법을 이용한 문턱값의 자동산출과 진보된 형태의 추적 필터 및 연계 기법을 적용한 연구가 수행되었지만, 상당수의 탐지가 발생하는 환경에서는 그 한계가있다. 최근 심층학습 기술이 발달함에 따라 수중 표적 탐지분야에도 이를 적용하기 위한 노력이 있었으나, 분류기 학습을 위한 능동소나 데이터의 획득이 매우 어려워 데이터가 희소할 뿐 아니라, 극소수의 표적과 상대적 다수의 비표적으로 인한 데이터의 불균형성으로 어려움이 있다. 본 논문에서는 탐지 신호의 에너지 분포 영상을 이용하되, 데이터의불균형성을 고려한 방식으로 분류기를 학습하여 표적과 비표적을 구분하는 기법을 기존 소나처리 기법에 추가하여표적의 오분류를 최소화하면서 비표적을 제거하여 능동소나 운용자의 표적 인식을 용이하게 하였다. 그리고 동해에서수행한 해상실험에서 획득한 능동소나 데이터를 통해 제안 기법의 유효성을 검증하였다. Active sonar transmits sound waves to detect covertly maneuvering underwater objects and detects the signals reflected back from the target. However, in addition to the target's echo, the active sonar's received signal is mixed with seafloor, sea surface reverberation, biological noise, and other noise, making target recognition difficult. Conventional techniques for detecting signals above a threshold not only cause false detections or miss targets depending on the set threshold, but also have the problem of having to set an appropriate threshold for various underwater environments. To overcome this, research has been conducted on automatic calculation of threshold values through techniques such as Constant False Alarm Rate (CFAR) and application of advanced tracking filters and association techniques, but there are limitations in environments where a significant number of detections occur. As deep learning technology has recently developed, efforts have been made to apply it in the field of underwater target detection, but it is very difficult to acquire active sonar data for discriminator learning, so not only is the data rare, but there are only a very small number of targets and a relatively large number of non-targets. There are difficulties due to the imbalance of data. In this paper, the image of the energy distribution of the detection signal is used, and a classifier is learned in a way that takes into account the imbalance of the data to distinguish between targets and non-targets and added to the existing technique. Through the proposed technique, target misclassification was minimized and non-targets were eliminated, making target recognition easier for active sonar operators. And the effectiveness of the proposed technique was verified through sea experiment data obtained in the East Sea.

초등학교 고학년생의 체격수준에 따른 체력요인의 특성

류영우,예종이 한국교원대학교 학교체육연구소 2004 학교체육연구소지 Vol.11 No.1

This study aims at identifying the correlation between physique factors and physical fitness test items of primary school student, and supplying a basic data for setting up of scientific examination criteria of individual evaluation through the result ana