• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.547-551
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• 2009

최근, 필름복원은 다양한 멀티미디어 출현과 영상보존의 중요성으로 많은 연구자들로부터 관심을 받고 있다. 블로치(blotch)는 오래된 영상에서 나타나는 대표적인 손상요인이다. 따라서 본 논문에서는 객체의 컬러특징과 방향분포 변화를 이용한 블로치 검출방법을 제안한다. 제안된 방법은 두가지 모듈로 구성 된다. 블로치의 불연속적인 특징을 이용한 SROD 검출기로 불로치의 후보지를 검출하고, 후보지로부터 블로치의 컬러와 형태 특징을 이용한 신경망으로 블로치 영역을 검출한다. 제안된 방법을 평가 하기 위해 실제 오래된 영상으로부터 실험 하였다.

• 만화애니메이션 연구
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• 통권29호
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• pp.61-75
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• 2012

The essay explores the narrative structure of the classical Chinese feature animation, (a.k.a. Da Nao Tian Gong, 1964). The film is presented with a modular structure which is quite unique compared with the storytelling in feature animated films from other cultures, but could be connected with the tradition narrative structure in Chinese Zhanghui style novels in Ming and Qing Dynasty. By relating the original text of the story, the 16th century novel Journey to the West (a.k.a. Xi You Ji), with the film , the essay addresses the question of how the narrative tradition in Chinese classical literature influenced the Uproar in Heave for its segment narrative structure, character driven storytelling strategy and mirrored repetitive 2 plot lines. The subject of this essay is even more significant after the restored 3D version of was re-released in the spring of 2012 and became one of the best-selling animated feature film in the history of the country.

• 한국진공학회지
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• 제4권S1호
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• pp.190-195
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• 1995

The feature scale model for selective chemical vapor deopsition process was proposed and the simulation was performed to study the selectivity and uniformity of deposited thin film using Monte Carlo method and string algorithm. The effect of model parameters such as sticking coefficient, aspect ratio, and surface diffusion coefficient on the deposited thin film pattern was improved for lower sticking coefficient and higher aspect ratio. It was revealed that the selectivity loss ascrives to the surface diffusion. Different values of sticking coefficients on Si and on SiO2 surface greatly influenced the deopsited thin film profile. In addition, as the lateral wall angle decreased, the selectively deposited film had improved uniformity except the vicinity of trench wall. The optimum eondition for the most flat selective film deposition pattern is the case with low sticking coefficient and slightly increased surface diffusion coefficient.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4568-4587
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• 2014

Authentication of videos and images based on the content is becoming an important problem in information security. Unfortunately, previous studies lack the consideration of Kerckhoffs's principle in order to achieve this (i.e., a cryptosystem should be secure even if everything about the system, except the key, is public knowledge). In this paper, a solution to the problem of finding a relationship between a frame's index and its content is proposed based on the creative utilization of a robust manifold feature. The proposed solution is based on a novel semi-fragile watermarking scheme for H.264/AVC video content authentication. At first, the input I-frame is partitioned for feature extraction and watermark embedding. This is followed by the temporal feature extraction using the Isometric Mapping algorithm. The frame index is included in the feature to produce the temporal watermark. In order to improve security, the spatial watermark will be encrypted together with the temporal watermark. Finally, the resultant watermark is embedded into the Discrete Cosine Transform coefficients in the diagonal positions. At the receiver side, after watermark extraction and decryption, temporal tampering is detected through a mismatch between the frame index extracted from the temporal watermark and the observed frame index. Next, the feature is regenerate through temporal feature regeneration, and compared with the extracted feature. It is judged through the comparison whether the extracted temporal watermark is similar to that of the original watermarked video. Additionally, for spatial authentication, the tampered areas are located via the comparison between extracted and regenerated spatial features. Experimental results show that the proposed method is sensitive to intentional malicious attacks and modifications, whereas it is robust to legitimate manipulations, such as certain level of lossy compression, channel noise, Gaussian filtering and brightness adjustment. Through a comparison between the extracted frame index and the current frame index, the temporal tempering is identified. With the proposed scheme, a solution to the Kerckhoffs's principle problem is specified.

• Tribology and Lubricants
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• 제16권5호
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• pp.317-323
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• 2000

The film thickness and shape of elastohydrodynamic lubrication is measured by optical interferometer, which is the most precise method for EHL film measurement. However, the interpretation of the image pattern from optical viscometer is not simple for two-dimensional shape. A newly developed method of image processing makes it possible to evaluate the film thickness and shape in every point of contact region with two dimensional aspects. In this study, we captured the film shape of EHL film by the monochromatic incident light and analyzed the film thickness with the image processing method, which uses phase shift method. From the values of intensity in fringes, the qualitative feature of film thickness in the contact area are obtained by using Zernike polynomial

• Journal of Magnetics
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• 제10권4호
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• pp.163-170
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• 2005

The RF integrated noise filters are fabricated by photolithography. The stack for the electromagnetic noise filters consists of the nano-granular ($Co_{41}Fe_{38}AI_{13}O_8$) soft magnetic film / $SiO_2$ / Cu transmission line / seed layer (Cu/Ti) / $SiO_2$-substrate. A good signal-attenuation feature along with a low signal-reflection feature is observed in the present filters. Especially in the noise filter incorporated with a $Co_{41}Fe_{38}AI_{13}O_8$ magnetic film with lateral dimensions of $2000{\mu}m$ wide, 15 mm long and $1{\mu}m$ thick, the maximum magnitude of signal attenuation reaches -55 dB, and the magnitude of signal reflection is below -10 dB in the overall frequency range. And this level of signal attenuation is much larger than that of a noise filter incorporated with a Fe magnetic film.

• 한국멀티미디어학회논문지
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• 제13권8호
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• pp.1115-1127
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• 2010

TFT-LCD 생산 과정에서 발생하는 결함을 정확하게 분류하여 결함 유형에 따라 폐기, 사용가능 등의 의사결정을 적절하게 내리는 것은 수율 증가 및 생산성 향상에 필수적인 요소이다. 본 논문에서는 TFT-LCD 생산 라인에서 획득한 결함 영상에 대하여 명암도 분포(intensity distribution) 및 결함 영상의 형태 특징(shape feature)을 분석하여 효과적으로 필름 결함 유형을 분류하는 기법을 제시한다. 본 연구에서는 먼저 필름 결함 영상을 결함 영역과 결함이 아닌 배경 영역으로 이진화하고, 결함 영역에서 결함의 선형성(linearity), 명암도 분포를 고려한 형태 특징 등의 여러 가지 특징을 분석하여 기준 영상(referential image) 데이터베이스를 구축하였으며, 분류하고자 하는 결함 영상과 데이터베이스에 저장된 기준 영상과의 매칭 비용 함수(matching cost function)를 정의하여 적절히 매칭시킴으로써 결함의 유형을 결정하였다. 제시한 기법의 성능을 검증하기 위하여 실제 TFT-LCD 생산 라인에서 획득한 결함 영상들을 대상으로 분류 실험을 수행하였으며, 실험 결과 생산 라인에서 이용할 수 있을 정도의 상당한 수준의 분류 정확도를 달성하였음을 보여주었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 추계학술발표대회
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• pp.1718-1720
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• 2013

본 논문에서는 다중 손 끝점 검출을 위해 특징 추출 기법 및 이를 기반으로 한 손 끝점 검출 알고리즘을 제안한다. 특징 추출을 위해 Local Binary Feature(LBP)을 사용하였고 특징의 차원을 축소하기 위해 Principal Component Analysis(PCA) 기법을 이용하였다. 손 끝점 판별을 위해 Reduced multivariate polynomial Model(RM) Classifier를 사용하여 실험 결과 제안된 손 끝점 검출 기법이 다양한 환경에서 동작 하는 것을 확인 하였다.

• 한국콘텐츠학회논문지
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• 제12권1호
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• pp.154-165
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• 2012

이 논문은 화면 분할의 역사적 전개 과정을 살펴보고, 극영화의 화면 분할 유형과 그 서사적 의미를 논의 한다. 그 결과, 사건과 캐릭터를 기준으로 삼되 동시에 제시되는 이미지 간의 관계와 극적 의미의 결합에 주목하여, 극영화의 화면 분할 유형에 대한 분류를 시도하고, 그 내용을 하나의 도표로 제시한다. 또한 화면 분할이 극영화의 이야기 방식을 선형적인 것에서 탈선형적인 것으로 바꾸며, 영화의 스크린 개념을 창문으로 표현되는 원심적 공간에서 캔버스로 표현되는 구심적 공간으로 전환시킴을 주장한다.