• Title/Summary/Keyword: 부류

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Phonetic Similarity Meausre for the Korean Transliterations of Foreign Words (외국어 음차 표기의 음성적 유사도 비교 알고리즘)

  • Gang, Byeong-Ju;Lee, Jae-Seong;Choe, Gi-Seon
    • Journal of KIISE:Software and Applications
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    • v.26 no.10
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    • pp.1237-1246
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    • 1999
  • 최근 모든 분야에서 외국과의 교류가 증대됨에 따라서 한국어 문서에는 점점 더 많은 외국어 음차 표기가 사용되는 경향이 있다. 하지만 같은 외국어에 대한 음차 표기에 개인차가 심하여 이들 음차 표기를 포함한 문서들에 대한 검색을 어렵게 만드는 원인이 되고 있다. 한 가지 해결 방법은 색인 시에 같은 외국어에서 온 음차 표기들을 등가부류로 묶어서 색인해 놓았다가 질의 시에 확장하는 방법이다. 본 논문에서는 외국어 음차 표기들의 등가부류를 만드는데 필요한 음차 표기의 음성적 유사도 비교 알고리즘인 Kodex를 제안한다. Kodex 방법은 기존의 스트링 비교 방법인 비음성적 방법에 비해 음차 표기들을 등가부류로 클러스터링하는데 있어 더 나은 성능을 보이면서도, 계산이 간단하여 훨씬 효율적으로 구현될 수 있는 장점이 있다.Abstract With the advent of digital communication technologies, as Koreans communicate with foreigners more frequently, more foreign word transliterations are being used in Korean documents more than ever before. The transliterations of foreign words are very various among individuals. This makes text retrieval tasks about these documents very difficult. In this paper we propose a new method, called Kodex, of measuring the phonetic similarity among foreign word transliterations. Kodex can be used to generate the equivalence classes of the transliterations while indexing and conflate the equivalent transliterations at the querying stage. We show that Kodex gives higher precision at the similar recall level and is more efficient in computation than non-phonetic methods based on string similarity measure.

Procurement Pricing Strategy for Remanufacturing System under Uncertainty in Quality of Used Product (회수 품질이 불확실한 재제조 시스템의 회수 가격 결정 모형)

  • Lee, Ji Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.691-697
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    • 2016
  • Remanufacturing refers to restoring a used product to an acceptable condition for resale in the market of remanufactured items. In this paper, we deal with the acquisition price and remanufacturing decision for remanufacturing systems in the case where the demand for the remanufactured product in a single period is known and the return quantity of the used product is determined by its acquisition price. The quality of the acquired used product is categorized into two classes, high and low, through inspection and different qualities incur different remanufacturing costs. The probability that the acquired used product is categorized as high class can be a constant or random variable. We derive the expected total cost functions, obtain the optimal solutions, and interpret the managerial meaning of the optimal solution for each case. The sensitivity of the optimal solution with respect to the variation of the inspection cost and uncertainty of the quality of the used product is investigated through numerical examples.

A Image Post-processing Method using Modified MSDS (수정된 MSDS를 이용한 영상의 후처리 기법)

  • 김은석;채병조;오승준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.8B
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    • pp.1480-1489
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    • 1999
  • In this paper, we propose a new post-processing method which can solve a problem of MSDS(Mean Squared Difference of Slope) method. Using that method the blocking artifacts can significantly be reduced without any restriction, which is a major drawback of block-based DCT compression method. In this approach, the OSLD(Overlapped Sub-Laplacian Distribution) of dequantized block boundary pixel difference values is defined and used to categorize each block of an image into one of four types. Those types are also classified into one of two classes: an edge and a non-edge classes. A slope across the block boundary is used to quantify discontinuity of the image. If an absolute estimated quantization error value of a DCT coefficient is greater than the corresponding quantization step size, it is saturated to the step size in the edge class. The proposed post-processing method can improve not only the PSNR value up to 0.1~O.3 dB but visual quality without any constraints determined by ad-hoc manner.

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Time delay estimation algorithm using Elastic Net (Elastic Net를 이용한 시간 지연 추정 알고리즘)

  • Jun-Seok Lim;Keunwa Lee
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.4
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    • pp.364-369
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    • 2023
  • Time-delay estimation between two receivers is a technique that has been applied in a variety of fields, from underwater acoustics to room acoustics and robotics. There are two types of time delay estimation techniques: one that estimates the amount of time delay from the correlation between receivers, and the other that parametrically models the time delay between receivers and estimates the parameters by system recognition. The latter has the characteristic that only a small fraction of the system's parameters are directly related to the delay. This characteristic can be exploited to improve the accuracy of the estimation by methods such as Lasso regularization. However, in the case of Lasso regularization, the necessary information is lost. In this paper, we propose a method using Elastic Net that adds Ridge regularization to Lasso regularization to compensate for this. Comparing the proposed method with the conventional Generalized Cross Correlation (GCC) method and the method using Lasso regularization, we show that the estimation variance is very small even for white Gaussian signal sources and colored signal sources.

유기 박막 트랜지스터 (Organic TFT)의 유기 활성층 기술 동향

  • 장상웅;최준환;윤호규;이주원;주병권;김재경
    • Electrical & Electronic Materials
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    • v.17 no.8
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    • pp.3-12
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    • 2004
  • 유기 박막 트랜지스터 (Organic Thin film Transistors ; 이하 OTFT)는 1986년부터(1) 반도체 장치의 새로운 부류로 급속하게 발전해 오고 있다. 반도체 산업에 있어 이러한 유기물질의 큰 발전은 1947년에 있었던 최초의 inorganic FET (Field Effect Transistor) 탄생에 버금갈 만한 성과라고 여겨진다.(중략)

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Technology utilizing electro-rheological fluids for automotive industries (자동차 산업관련 전기점성유체 이용기술)

  • 최승복;민수홍;정재천
    • Journal of the korean Society of Automotive Engineers
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    • v.13 no.4
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    • pp.1-10
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    • 1991
  • 본 글에서는 지금까지 알려진 SMS 부류에 속하는 것으로서 가장 잠재적 응용가치가 큰 것으로 인식되며 특히 자동차 산업과 관련하여 미국, 일본 등에서 활발히 연구 개발중에 있는 전기점성(electro-rheological : ER) 유체의 전반적인 세계연구동향, 이론적 배경 그리고 응용성에 관하여 소개하고자 한다.

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Technics of the cave explration (2) "camping" (동굴탐사 기술 2 : 막영)

  • 김건철
    • Journal of the Speleological Society of Korea
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    • v.42 no.43
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    • pp.21-31
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    • 1995
  • 막영이란 동굴 탐사에서 빼놓을 수 없는 즐거움이며, 자연 기상조건으로부터 탐사가를 보호해 주고 피로를 회복시켜주는 중요한 구실을 한다. 동굴탐사를 위한 막영 생활 기술은 하루 이틀의 탐사로부터 장기간의 탐사에 이르기까지 탐사의 중심이 되며, 원동력이 된다. 이는 보다 합리적으로 탐사를 하기 위한 컨디션을 마련하는 생활기술이라고 볼 수 있으며 천막을 치는 법, 취사, 위생등이 이 부류에 속한다.(중략)

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수돗물 '수질'에 관한 괜한 의심

  • Park, Jae-Gwang
    • 한국상하수도협회지
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    • s.14
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    • pp.8-9
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    • 2006
  • 한국에 만연하는 불신 중 가장 두드러진 것 중의 하나가 수돗물이 아닐까 싶다. 정부나 지자체에서 수돗물이 안전하니 안심하고 마시라고 해도 굳이 비싼 정수기를 사용하거나 생수를 사 마시고 있다. 한국과 같이 투명하게 수질평가위원의 참석 하에 시료를 채취하고 제 3기관에 의뢰하여 분석을 하며 이것을 공개하는 곳은 거의 없다. 그런데도 일반 국민들은 아직도 수질검사를 속인다거나 평가위원들도 다 같은 부류의 사람들이라고 오해하는 분위기가 팽배한 것 같다.

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A Class of Median Filters and Its Properties (중앙값 여파기의 한 부류와 그 성질)

  • 한영옥;송익호;박양수
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.4
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    • pp.402-406
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    • 1991
  • In this paper, we find a set of conditions on weights under which a recursive weighted median filter preserves monotone or localy monotone sequence and under which any input sequence converges to a locally monotone sequence after a finite number of passes.

Segmentation-free Recognition of Touching Numeral Pairs (두자 접촉 숫자열의 분할 자유 인식)

  • Choi, Soon-Man;Oh, Il-Seok
    • Journal of KIISE:Software and Applications
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    • v.27 no.5
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    • pp.563-574
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    • 2000
  • Recognition of numeral fields is a very important task for many document automation applications. Conventional methods are based on the two-steps process, segmentation of touching numerals and recognition of the individual numerals. However, due to a large variation of touching types this approach has not produced a robust result. In this paper, we present a new segmentation-free method for recognizing the two touching numerals. In this approach, two touching numerals are regarded as a single pattern coming from 100 classes ('00', '01', '02', ..., '98', '99'). For the test set, we manually extract two touching numerals from the data set of NIST numeral fields. Due to the limitation of conventional neural network in case of large-set classification, we use a modular neural network and Drove its superiority through recognition experimen.

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