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검색결과 537건 처리시간 0.024초

딥 러닝 기반의 잡음 모델링을 이용한 전력선 통신에서의 잡음 제거 (De-noising in Power Line Communication Using Noise Modeling Based on Deep Learning)

  • 선영규;황유민;심이삭;김진영
    • 한국인터넷방송통신학회논문지
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    • 제18권4호
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    • pp.55-60
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    • 2018
  • 본 논문은 전력선 통신에서 딥 러닝 기술 적용시킨 연구의 초기 결과를 보여준다. 본 논문에서는 전력선 통신의 성능을 감소시키는 원인인 잡음을 제거하기 위해 딥 러닝 기술을 적용시켜 효과적인 잡음 제거를 목표로 하고 수신 단에서 딥 러닝 모델을 추가하여 잡음을 효과적으로 제거하는 시스템을 제안한다. 딥 러닝 모델을 학습시키기 위해서는 데이터가 필요하므로 기존의 데이터들을 저장하고 있다고 가정하고 제안하는 시스템에 대해 시뮬레이션을 진행하여 부가 백색 가우시안 잡음 채널의 이론적 결과와 비트 에러률을 비교하여 제안하는 시스템 모델이 잡음을 제거하여 통신 성능을 향상시킨 것을 확인한다.

GAP 군집화에 기반한 필기 한글 단어 분리 (Word Segmentation in Handwritten Korean Text Lines based on GAP Clustering)

  • 정선화;김수형
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제27권6호
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    • pp.660-667
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    • 2000
  • 본 논문에서는 필기 한글 문자열 영상에 대한 단어 분리 방법을 제안한다. 제안된 방법은 gap 의 크기 정보를 사용하여 단어를 분리하는데, 이때 gap은 문자열 영상을 수직방향으로 투영한 후 흰-런 (white-run)을 찾음으로써 구할 수 있다. 문자열 영상으로부터 얻어지는 gap들의 크기를 측정한 후, 각각의 gap을 단어와 단어사이에 존재하는 gap과 문자와 문자사이에 존재하는 gap 중 하나로 분류한다. 본 논문에서는 필기 영문 문자열의 단어 분리를 위해 제안된 기존의 세 가지 거리 척도를 채택하고 군집화에 기반한 세 가지 분류방법을 적용하여 한글 문자열의 단어 분리를 위한 최적의 조합을 선정하였다. 우편봉투 상에 작성된 주소열로부터 수작업으로 추출한 305 개의 문자열 영상을 사용하여 실험한 결과 BB(bounding box) 거리를 사용하여 순차적 군집 방법을 적용하는 경우 3 순위까지의 누적 단어 분리 성공률이 88.52% 로서 가장 우수한 성능을 보여 주었다. 또한 하나의 문자열 영상에 대한 단어 분리 속도는 약 0.05초이다.

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전력선 통신 시스템을 위한 머신러닝 기반의 원신호 예측 기법 (Machine Learning-Based Signal Prediction Method for Power Line Communication Systems)

  • 선영규;심이삭;홍승관;김진영
    • 한국위성정보통신학회논문지
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    • 제12권3호
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    • pp.74-79
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    • 2017
  • 본 논문에서는 머신러닝 알고리즘 중 하나인 다층 퍼셉트론을 기반으로 전력선통신 시스템에서의 수신 신호를 이용하여 송신단에서 전송한 원신호를 예측하는 시스템 모델을 제안한다. 전력망을 활용한 통신 방식을 사용하는 전력선통신 시스템은 일반적인 통신설로를 활용하는 통신 방식에 비해 잡음이 많다. 이 때문에 전력선통신 시스템의 성능이 저하가 되는 문제가 발생한다. 이를 해결하기 위해 본 논문에서 제안하는 통신 시스템 모델을 이용하면 원신호 예측을 통해 잡음의 영향이 최소화되어 전력선통신 시스템의 성능저하를 완화시킨다. 본 논문에서는 제안한 통신 시스템 모델을 백색 잡음 환경에 적용하여 시뮬레이션을 해봄으로써 원신호가 예측 되는지를 입증한다.

Design of On-line Process Control with Variable Measurement Interval

  • Park, Changsoon
    • Journal of the Korean Statistical Society
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    • 제29권3호
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    • pp.319-336
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    • 2000
  • A mixed model with a white noise process and an IMA(0,1,1) process is considered as a process model. It is assumed that the process is a white noise in the absence of a special cause and the process changes to an IMA(0,1,1) due to a special cause. One useful scheme in measuring the process level is to use the variable measurement interval (VMI) between measurement times according to the value of the previous chart statistic. The advantage of the VMI scheme is to measure the process level infrequently when in control to save the measurement cost and to measure frequently when out of control to save the off-target cost. This paper considers the VMI scheme in order to detect changes in the process model from a white noise to an IMA(0,1,1). The VMI scheme is shown to be effective compared to the standard fixed measurement interval (FMI) scheme in both statistical and economic contexts.

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A Synthetic Method for Generating Texture Patterns Similar to a Selected Original Texture Image

  • Shinji, Ohyama;Hong, Keum-Shik
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.35.5-35
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    • 2001
  • The purpose of the study is to develop a synthetic method for generating arbitrary number of not the same but similar texture images. The method includes processes to extract basic shape elements from texture images originating in actual objects, to select them to reappear the image features and to arrange them in a image plane. The authors have already proposed the shape-pass type filter bank assuming that the sensual impression mainly depends on minute shapes existing in the texture images. By use of nine basic shape elements, namely black/white-roof, black/white-line, black/white-snake, black/white-pepper, and cliff, natural texture images originating in actual objects have been characterized by feature vectors in a nine dimensional space. To generate arbitrary number of similar texture images, minute shape pieces ...

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인공 재배버섯에 질병을 일으키는 Pseudomonas속 병원세균에 관한 연구 1. 인공 재배버섯의 부패 변성 원인세균에 대하여 (Studies on the Pathogenic Pseudomonas Causing Bacterial Disease of Cultivated Mushroom in Korea)

  • 김종완;김근희;강희진
    • 한국식물병리학회지
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    • 제10권3호
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    • pp.197-210
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    • 1994
  • This experiment was carried out to study the cause of degeneration and rot of cultivated mushroom. Among 597 bacterial isolates derived from the rots of Button mushroom (Agaricus bisporus), Oyster mushroom (Pleurotus ostreatus) and Oak mushroom (Lentinus edodes) collected from markets of 5 cities (Seoul, Suwon, Taegu, Pohang and Pusan) in Korea (1991~1993), 111 bacterial isolates (18.5%) were proved as pathogenic bacteria. These pathogenic bacteria causing bacterial rots of cultivated mushrooms were identified as Pseudomonas tolasii, P. agarici, and Eriwinia sp., and the main causal bacteria were P. tolaasii. P. fluorescens and Klebsiella plenticola were confirmed as saprophytic non-pathogenic bacteria. One hundred fifty nine isolates (Group No. 39) of the 486 saprophytic bacterial isolates were classified as P. fluorescens, and this species was most often found rot area of cultivated mushrooms. P. tolaasii, the causal organism of bacterial blotch, was classified into two groups; One group can be differentiated from the other by the formation of white precipitation band by white line reacting organisms of Pseudomonas Agar F media. P. tolaasii attacked the cultivated mushrooms relatively well at lower incubation temperature such as 5$^{\circ}C$, but P. agarici rarely attack at below 1$0^{\circ}C$. The temperature for the infection commercial cultivated mushrooms by P. agarici was higher than that of P. tolaasii. Optimum temperature for the infection of mushrooms by P. tolaasii and P. agarici were 2$0^{\circ}C$ and $25^{\circ}C$, respectively.

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문어흘림낚시용 친환경 봇돌의 색 효과 (Color effect of the environment-friendly sinker for octopus drift-line)

  • 안영일
    • 수산해양기술연구
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    • 제45권3호
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    • pp.144-150
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    • 2009
  • The choice behavior of the octopus in response to the environment-friendly colored sinker for octopus driftline and the sinker's fishing effect were studied under experimental conditions in the water tank and the field. The colors of the sinkers used for the experiment are white, black, yellow and green. Artificial baits are attached to the sinkers in order to attract the octopuses in the experiment. In the water tank experiment, two sinkers of two different colors are placed in a compartmentalized corner of the rectangular tank, and a CCD camera records the choice behaviors of the octopuses to the colored sinkers. In the field experiment, the catch investigation of octopus for each colored sinker was conducted 14 times in total by using 2(A, B) commercial fishing boats at the coast of Gangneung within 30m of depth in 2006. The number of colored sinkers per operation was a total of 24-40 pieces with the same number of sinkers individually for four colors. As a result, it was found that the octopus selected white the most followed by black and yellow in their choice of colored sinkers in the water tank experiment, and green was the lowest in their choice. Even in the field experiment, the sinkers of white and black showed a higher catch of octopus than the sinkers of yellow and green.

디지털 색채 분석을 이용한 보구치(Pennahia argentatus) 생식소의 성숙도 판정 (Determination of Maturity Gonads for White Croaker Pennahia argentatus Using Digital Color Analysis)

  • 정재묵;김영혜;문경진;최석진
    • 한국수산과학회지
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    • 제57권2호
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    • pp.145-152
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    • 2024
  • The present study investigated the digital color characteristics corresponding to different maturity stages and maturation levels of white croaker Pennahia argentatus specimens collected from the Southern Sea of South Korea. Maturity stages were determined using photomicrographs depicting ovarian developmental phases and compared with digital color values. The specimens ranged in body length from 21-36 cm, with mature ovaries observed within the 24-30 cm length range. To differentiate the maturing, mature, spawning, and post-spawning stages of the gonads, boundary lines were established based on specific coordinates. For the ovaries, a dividing line was drawn through (-10, -10) and (15, 5), described by the equation Y=3/5X-4; while for the testes, the line passed through (20, 0) and (0, 15), indicated by the equation Y=-3/4X+15. However, the visual determination of the maturity stages proved challenging due to overlapping color values. Consequently, this study underscores the efficacy of employing digital color measurements over subjective visual assessments to evaluate the maturity of white croaker gonads and offers more quantitative insights.

복식디자인 요소가 얼굴지각에 미치는 영향 (Effects of Clothing Design Factors on the Perception of Face)

  • 이미정;이인자
    • 복식
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    • 제44권
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    • pp.104-116
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    • 1999
  • This study was intended to make an inquiry into the effect of lines, shapes and colors (achromatic colors) as apparel design elements on the perceptions of facial size, brightness and shape through an empirical research based on the theories of visual perception and optical illusion that have been studied in Gestalt Psychology, which becomes the basis of apparel design principles. It was shown that the facial size was influenced by the collar size, the degree of neckline cut, and the thickness of the trimming line. The white scarf with the white jacket made the face look darkest while the black scarf with the black jacket made the face look brightest. When the neckline had the characteristic of the line contrasted with the facial shape, the oval-shaped face was perceived to be the most ideal. When the facial shape and the neckline shape were similar, the facial shape was perceived to be more highlighted.

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4가지 무채색 의복의 형태변화에 따른 시각적 이미지 (The Visual Image of Clothing Shape)

  • 박종희;최재란;류숙희
    • 한국의류학회지
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    • 제24권8호
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    • pp.1177-1186
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    • 2000
  • The Study was consist of clothing shape(H-line, A-line, V-line, X-line, O-line) and color(Blace, Grey1, Grey2, White). The main purpose of this study is to analyze image differences due to shape variation, image differences due to observers characteristic differences. The main findings can be summarized as follow. First, image differences due to shape variation are statistically significant ar five factors - the maturity level, the degree of softness, attractiveness, the degree of recognition, and the activity. But the degree of recognition is found out to be the least significant factor. H-line is estimated the mature image, A·X-line is estimated young, feminine and active image. Second, image differences by observers characteristics are various depending on the shape of clothing.

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