• 제목/요약/키워드: morphological processing

검색결과 525건 처리시간 0.032초

프랙탈 차원을 이용한 유압구동 습동면의 형상해석 (Morphological Analysis of Hydraulic Driving Surface using Fractal Dimension)

  • 전성재;배효준;김동호;서영백;박흥식
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 2000년도 제32회 추계학술대회 정기총회
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    • pp.23-28
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    • 2000
  • The determination of surface morphology is believed to be extremely important in the areas of contact mechanics, adhesion and friction. In order to describe morphology of various rubbed surface, the wear test was carried out under different experimental conditions in lubricating wear. And fractal descriptors was applied to rubbed surface of hydraulic driving material with image processing system. These descriptors to analyze surface structure are fractal dimension. Surface fractal dimension can be determined by sum of intensity difference of surface pixel. Morphology of rubbed surface can be effectively obtained by fractal dimensions.

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Distancing the Constraints on Syntactic Variations

  • Choi, Hye-Won
    • 한국언어정보학회지:언어와정보
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    • 제11권1호
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    • pp.77-96
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    • 2007
  • This paper investigates syntactic variations in English such as Dative Alternation, Particle Inversion, and Object Postposition (Heavy NP Shift) within the framework of Optimality Theory, and shows that the same set of morphological, informational, and processing constraints affect all these variations. In particular, it shows that the variants that used to be regarded as ungrammatical are in fact used fairly often in reality, especially when processing or informational conditions are met, and therefore, grammatical judgment may not be always categorical but sometimes gradient. It is argued that the notion of distance in constraint ranking in stochastic OT can effectively explain the gradience and variability of grammaticality in the variation phenomena.

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금석문 영상의 계층적 분할 (Hierarchical Segmentation of Monumental Inscription Image)

  • 최호형;박영식;김기석
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2002년도 춘계학술발표논문집(상)
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    • pp.315-319
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    • 2002
  • The study on shilla monumental inscription has been accomplished by many historians. However, the research on segmentation of monumental inscription image using digital image processing technique is not sufficient. The preprocessing using computer is needed for accurate interpretation of history. In this paper, A morphological filtering using directional information is presented. Directional filtering is effective in reducing noises and preserving edges. The opening and closing operations in the 1st stage are performed for the pixel is aligned to the vertical, horizontal and two diagonal directions. The Opening operation supresses the positive impulse noise while the closing operation the negative ones. Then Directional filter and post-processing are applied to the image. Experimental result shows outstanding performance for interpretation.

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문화재의 문자 복원을 위한 전문가 시스템 개발: 영상처리 및 컴퓨터 그래픽스 활용을 중심으로 (Developing Expert System for Restoration to the Original Character Form of Ancient Relics Based on Image Processing and Computer Graphics)

  • 문호석;손명호
    • 한국IT서비스학회지
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    • 제7권4호
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    • pp.139-149
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    • 2008
  • We propose expert system for restoration the original character form of ancient relics based on image processing and computer graphics. Letters engraved in relief like relics and intaglio like curved tombstones and letters engraved in plane or curved part of cultural asset may have been broken by a lot of rubbed copy, a long time and tide. In this paper, we suggest a new method for extracting and recovering the broken letters of cultural asset into an original form by using Z-map, morphological filter, and high frequency filter. Based on the suggested method. we develop the character recovering system.

문장패턴을 활용한 형태소 분석기의 설계 (The Design of morphological analyzer using a sentence-patterns)

  • 홍성웅;연제용;박찬곤
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 춘계학술발표대회
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    • pp.681-684
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    • 2004
  • 본 논문에서는 한국어의 문장패턴을 활용한 형태소 분석기를 설계하였다. 어절기반의 형태소 분석기들이 갖는 형태소 분석 정보는 어절의 품사 등의 기초적 정보만을 포함한다. 본 논문에서 제안하는 문장패턴을 활용한 형태소 분석기는 문장단위의 형태소 분석을 제안하였고 형태소 분석단계에서 구문분석과 문장패턴이 갖는 의미정보를 포함함으로서 분석결과의 활용도를 높이도록 하였다. 제안된 형태소 분석기의 결과를 활용하여 질의 응답시스템, 정보 검색 등의 분야에서 구문분석, 의미분석의 단계를 최소화 하여 결과를 얻을 수 있을 것으로 기대한다.

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Effect of oxygen working pressure on morphology and luminescence properties of SnO2 micro/nanocrystals formed by thermal evaporation method

  • Kim, Min-Sung
    • Journal of Ceramic Processing Research
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    • 제19권5호
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    • pp.424-427
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    • 2018
  • The effect of oxygen pressure in the synthesis of $SnO_2$ micro/nanocrystals through thermal evaporation of Sn powder was investigated. The thermal evaporation process was performed at $1000^{\circ}C$ for 1 hr under various oxygen pressures. The pressure of oxygen changed from 10 to 500 Torr. The morphology of $SnO_2$ crystals changed drastically with oxygen pressure. $SnO_2$ nanoparticles with an average diameter of 120 nm were formed at oxygen pressure lower than 10 Torr. $SnO_2$ nanowires were grown under an oxygen pressure of 100 Torr. The nanowires have diameters in the range of 100 ~ 500 nm and lengths of several tens of micrometers. As increasing the oxygen pressure to 500 Torr, the sizes of wires increased. A strong visible emission peak centered at about 500 ~ 600 nm was observed in the room temperature cathodoluminescence spectra of all the products.

구조 텐서와 모폴로지 연산을 이용한 유방 MR 영상의 흉근분할 (Pectoral Muscle Segmentation of Breast MRI using Structure Tensor and Morphological Operation)

  • 이명은;진연연;김수형;김종효
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.416-417
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    • 2011
  • 본 논문에서는 구조텐서와 모폴로지 연산을 이용한 유방 MR 영상에서 흉근을 제거하기 위한 분할 방법을 제안한다. 제안하는 방법은 영상의 그레디언트 정보를 나타내는 구조텐서와 복잡한 구조텐서를 평활화하기 위한 모폴로지 연산을 적용하여 영상 진단 및 영상 정합시 불필요한 흉근부분을 자동으로 분할하고자 한다. 실험결과에서 확인할 수 있듯이 정확한 분할의 결과는 향후 컴퓨터 보조 진단 시스템에 유용하게 사용할 수 있을 것으로 기대된다.

Low-Resource 환경에서 Multi-Task 학습을 이용한 카자흐어 형태소 분석 (Low-Resource Morphological Analysis for Kazakh using Multi-Task Learning)

  • ;박성배
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2021년도 춘계학술발표대회
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    • pp.437-440
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    • 2021
  • 지난 10년 동안 기계학습을 통해 자연어 처리 분야에서 많은 발전이 있었다. Machine translation, question answering과 같은 문제는 사용 가능한 데이터가 많은 언어에서 높은 정확도 성능 결과를 보여준다. 그러나 low-resource 언어에선 동일한 수준의 성능에 도달할 수 없다. 카자흐어는 형태학적 분석을 위해 구축된 대용량 데이터셋이 없으므로 low-resource 환경이다. 카자흐어는 단일 어근으로 수백 개의 단어 형태를 생성할 수 있는 교착어이다. 그래서 카자흐어 문장의 형태학적 분석은 카자흐어 문장의 의미를 이해하는 기본적인 단계이다. 기존에 존재하는 카자흐어 데이터셋은 구체적인 형태학적 분석의 부재로 모델이 충분한 학습이 이루어지지 못하기 때문에 본 논문에서 새로운 데이터셋을 제안한다. 본 논문은 low-resource 환경에서 높은 정확도를 달성할 수 있는 신경망 모델 기반의 카자흐어 형태학 분석기를 제안한다.

A Reconsideration of Asymmetries of Bracketing Paradoxes in English Derivation: a Corpus-based Approach

  • Kim, Jin-hyung
    • 영어영문학
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    • 제55권3호
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    • pp.475-495
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    • 2009
  • In this paper, I discuss some asymmetries of bracketing paradoxes from a corpus-based perspective. Through a critical examination of previous analyses of bracketing paradoxes, it is demonstrated that the cases of apparent asymmetries of bracketing paradoxes are consistently accounted for when combined with the frequency-based parsability in morphological processing. Based on the relative frequency, this paper argues that bracketing paradoxes are well-atttested when their immediate bases are frequent and productive enough to be accessed as a unit and stored as such in memory. This is an extension of Hay 2002 which conducted a comprehensive survey of differential frequency effects in suffix pairs. A frequency-based approach to bracketing paradoxes adopted in this paper can be a challenge to the conventional formal theory by assuming a major role of language use and have the potential to significantly advance our understanding of the asymmetries observed in the real language world.

KOREAN TOPIC MODELING USING MATRIX DECOMPOSITION

  • June-Ho Lee;Hyun-Min Kim
    • East Asian mathematical journal
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    • 제40권3호
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    • pp.307-318
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    • 2024
  • This paper explores the application of matrix factorization, specifically CUR decomposition, in the clustering of Korean language documents by topic. It addresses the unique challenges of Natural Language Processing (NLP) in dealing with the Korean language's distinctive features, such as agglutinative words and morphological ambiguity. The study compares the effectiveness of Latent Semantic Analysis (LSA) using CUR decomposition with the classical Singular Value Decomposition (SVD) method in the context of Korean text. Experiments are conducted using Korean Wikipedia documents and newspaper data, providing insight into the accuracy and efficiency of these techniques. The findings demonstrate the potential of CUR decomposition to improve the accuracy of document clustering in Korean, offering a valuable approach to text mining and information retrieval in agglutinative languages.