• 한국복식학회:학술대회논문집
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• 한국복식학회 2001년도 19th International Costume Association Congress
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• pp.34-36
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• 2001

Chirimen (silk crepe) has been one of Japan's most distinctive textiles since times and has gained a reputation worldwide as the supreme example of Japanese costume. It is because of its distinctive quality and features, transcending the history, lacation and lacal of the people who wear this form of clothing, that chirimen has continued to highly valued over a long historical period. There is a wide range of literature on the subject of chirimen written from the standpoints of introducing the various types of material, discussing its history, and looking at the origins of the textile unions. However, most such writings are little more than fragmentary attempts to describe these matters from an empirical and publicity-oriented position. Very little serious research has ever been published in this area. In the present study I examine the features of chirimen. I began by directly interviewing kimono wholesalers, kimono stores and Western-style clothing stores on the subject of chirimen in order to establish a clear image of this fabric. I then went on to examine the subject experimentally in terms of the physical properties of the fabric in connection with the features of this image. In the study of the physical properties of the material, I selected habutae as a silk fabric to offer comparisons with chirimen. Habutae is used frequently together with chirimen in garments such as semi-formal visiting kimono (homongi), kimono in non-color fabric (ironashiji), mouming kimono (mofuku), broad-sleeved kimono (tomesode and furisode), and undergarments such ad juban.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 B
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• pp.813-815
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• 1998

Engineered Safety Features-Component Control Systems(ESF-CCS) are those I&C systems that control safety equipment used to maintain the integrity of reactor coolant pressure boundary. This paper illustrates distinctive features and improved design concepts of Korea Next Generation Reactor(KNGR) based on the experience obtained through prototyping of ESF-CCS.

• 인터넷정보학회논문지
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• 제10권4호
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• pp.45-54
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• 2009

본 논문에서는 영상 내 객체들의 카테고리 분석을 위해 연구된 PLSA를 기반으로 특이점에 가중치를 부여하여 보다 유사한 카테고리 간에 인식 성능을 향상시키는 접근법에 대하여 연구하였다. PLSA는 문서기반의 정보검색 분야로부터 소개된 기법으로, 약한 수준의 비감독 방법임에도 불구하고 인상적인 인식성능을 보여준다. 그러나 비슷한 특징점 분포를 보이는 유사한 카테고리 간의 객체 카테고리 인식에 대해서는 비교적 낮은 성능을 보인다. 본 연구에서는 카테고리간의 비교실험을 통해 각 특징점에 대하여 가중치를 부여한 PLSA를 적용하여 유사한 객체 간의 카테고리 인식 가능성을 살펴보았다. 실험에서는 기존의 PLSA 기법과 제안한 가중치를 부여 PLSA 기법을 각각 적용하여 그 성능을 비교하였다. 본 연구에서는 기존 PLSA 기법에서는 비교적 낮은 인식률을 보인 유사한 카테고리 인식에 대하여 실험 결과를 통해 가중치를 부여한 PLSA 기법이 보다 향상된 성능을 보임을 확인하였다.

• 대한세포병리학회지
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• 제18권1호
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• pp.62-68
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• 2007

Invasive micropapillary carcinoma (IMPC) of the breast is recently described rare variant of invasive ductal carcinoma. This variant has a distinctive histological features and aggressive biological behavior. We reviewed the cytologic features of eight cases of IMPC. The cytologic smears showed moderate to high cellularity and the tumor tissue was composed of atypical, angulated, cohesive clusters of neoplastic cells with a papillary to tubuloalveolar architecture, and a morular growth pattern without fibrovascular cores was seen on the histopathology. IMPC of the breast has distinctive cytologic features and it is important to make an early diagnosis via fine needle aspiration cytology due to this tumor's aggressive behavior.

• 음성과학
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• 제11권1호
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• pp.65-72
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• 2004

The force of articulation is different between voiced and voiceless consonants in the binary opposition system. However, the Korean voiceless stop consonants have a triple opposition system: lenis, aspirated, and glottalized. The aim of this study is to find the primary distinctive feature between the force of articulation and the aspiration for the three different types of Korean stops. Two native speakers of the Seoul dialect participated to this study. The corpus was composed of less than eight syllabic words containing consonants in word-initial position and intervocalic position. Radiocinematography and Mingography were used to analyze the articulatory tension and acoustic characteristics. Korean stops have independent features of articulatory tension and aspiration, in which the indices are different according to position. However, in this system which does not have the opposition of sonority, the force of articulation is the primary distinctive feature and the feature of aspiration is subsidiary.

• 한국동물학회지
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• 제36권4호
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• pp.476-486
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• 1993

From a population in Kang-Nae, Cheong-won, Chung-Buk, acoustic behaviours of Gray-headed Bunting (Emberizo fucata) were obsenred. The singing of males was classified into two major types, stereotyped song and squeaky song. The stereotyped songs of eight territorial males were recorded Intraindividual and individually distinctive features were studied. Individuals produced their song in distinctive ways in terms of song duration and the number of syllables. Gray-headed Buntings sang various syllable types. We found that a male produced more constant syllables in anterior group than those in posterior group. Males sang distinctive syllables among them. Some syllable types which were frequently appeared in an anterior group. In these analyses, we suggest that the anterior groups in songs of a Gray-headed Bunting express the constant information and the posterior groups contribute to situational communication.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권1호
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• pp.45-50
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• 2003

Texture analysis has been efficiently utilized in the area of terrain classification. In this application features have been obtained in the 2D image domain. This paper suggests 3D co-occurrence texture features by extending the concept of co-occurrence to 3D world. The suggested 3D features are described using co-occurrence histogram of digital elevations at two contiguous position as co-occurrence matrix. The practical construction of co-occurrence matrix limits the number of levels of digital elevation. If the digital elevation is quantized into the number of levels over the whole DEM(Digital Elevation Map), the distinctive features can not be obtained. To resolve the quantization problem, we employ local quantization technique which preserves the variation of elevations. Experiments has been carried out to verify the proposed 3D co-occurrence features, and the addition of the suggested features significantly improves the classification accuracy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 B
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• pp.807-809
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• 1998

Plant Protection Systems(PPS) are those systems that initiate safety actions to mitigate the consequences of design basis events by sending signals to Reactor Trip Switch Gear System(RTSS) and Engineered Safety Features-Component Control Systems(ESF-CCS). This paper illustrates distinctive features and improved design concepts of Korea Next Generation Reactor(KNGR) based on the experience obtained through prototyping of PPS.

• 한국컴퓨터정보학회논문지
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• 제5권3호
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• pp.215-219
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• 2000

The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.

• 말소리와 음성과학
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• 제8권4호
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• pp.103-113
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• 2016

This paper aims to propose articulatory features as novel predictors for automatic pronunciation assessment of English produced by Korean learners. Based on the distinctive feature theory, where phonemes are represented as a set of articulatory/phonetic properties, we propose articulatory Goodness-Of-Pronunciation(aGOP) features in terms of the corresponding articulatory attributes, such as nasal, sonorant, anterior, etc. An English speech corpus spoken by Korean learners is used in the assessment modeling. In our system, learners' speech is forced aligned and recognized by using the acoustic and pronunciation models derived from the WSJ corpus (native North American speech) and the CMU pronouncing dictionary, respectively. In order to compute aGOP features, articulatory models are trained for the corresponding articulatory attributes. In addition to the proposed features, various features which are divided into four categories such as RATE, SEGMENT, SILENCE, and GOP are applied as a baseline. In order to enhance the assessment modeling performance and investigate the weights of the salient features, relevant features are extracted by using Best Subset Selection(BSS). The results show that the proposed model using aGOP features outperform the baseline. In addition, analysis of relevant features extracted by BSS reveals that the selected aGOP features represent the salient variations of Korean learners of English. The results are expected to be effective for automatic pronunciation error detection, as well.