• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.551-555
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• 2010

In protein 2-DE image analysis, the accuracy of spot-matching operation which identifies the spot of the same protein in each 2-DE gel image is intensively influenced by the errors caused by the various experimental conditions. This paper proposes an efficient method to find more accurate spot-matching patterns based on multiple reference gel images in spot-matching pattern analysis in protein 2-DE image analysis. Additionally, in order to improve the reduce the execution time which is increased exponentially along with the increasing number of gel images, a "partition then extension" framework is used to find spot-matching pattern of long length and of higher accuracy. In the experiments on real 2-DE images of human liver tissue are used to confirm the accuracy and the efficiency of the proposed algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.455-458
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• 2008

단백질체학에서 2-DE는 조직내의 단백질을 규명하는 단백질 분리 기술로서 2-DE에 의하여 생성된 단백질 이미지에서 스팟 매칭을 진행하여 상이한 단백질 젤 내에 존재하는 동일한 단백질 클래스를 찾을 수 있다. 그러나 단백질 2-DE 이미지는 실험 환경의 변화에 민감하여 이미지의 위치적인 변형이나 먼지, 공기방울 등으로 인해 많은 에러 정보를 포함할 수 있다. 이러한 에러는 스팟 매칭에 치명적인 영향을 주어 낮은 정확도를 가지게 된다. 본 논문에서는 단백질 2-DE 이미지 분석을 위한 스팟 매칭에서의 정확도를 향상시키기 위하여 기준점 학습과 기준점 추출의 두 단계로 이루어진 자동화된 기준점 추출 방법을 사용하여 스팟 매칭의 정확도를 향상시킬 수 있는 최적의 기준점을 선정하는 방법을 제안하며 선정된 기준점을 기반으로 다수의 기준 이미지를 선택하여 스팟 매칭을 반복적으로 진행함으로써 확률 기반의 정확한 스팟 매칭 결과를 도출하고자 한다. 특히 데이터 마이닝 기법에서 사용되는 최소지지도 값을 적용함으로써 지지도가 높은 스팟 매칭 결과를 빈발한 스팟 매칭으로 판정한다. 제안한 스팟 매칭 정확도 향상 기법의 정확도를 평가하기 위하여 실제 단백질 2-DE 젤 이미지 데이터를 사용하여 입력 기준점의 개수와 최소 지지도의 증가에 따른 정확도의 변화를 분석하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.741-742
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• 2009

단백질 2-DE 이미지 분석은 가장 널리, 가장 오랫동안 사용되고 있는 기술로서 샘플에 들어있는 수천 개에 달하는 단백질을 저한 비용으로 효과적으로 분리하는 장점을 가지고 있다. 하지만 단백질 자체가 가지고 있는 불안정성과 2-DE 실험이 가지고 있는 근본적인 문제점으로 인하여 2-DE 이미지 분석결과는 정확도가 낮아지게 된다. 따라서 이 논문에서는 데이터마이닝 기법을 사용한 "기준점 자동 추출 모듈"과 "확률기반 매칭 조정 모듈"로 구성된 이미지 정보 분석을 위한 프레임 워크를 제안하였으며 실제 데이터에 대한 실험을 통하여 제안한 방법의 타당성을 검증하였다.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.719-728
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• 2005

2-dimensional electrophoresis(2DE) is a separation technique to identify proteins contained in a sample. However, the image is very sensitive to its experimental conditions as well as the quality of scanning. In order to adjust the possible variation of spots in a particular image, a user should manually annotate landmark spots on each gel image to analyze the spots of different images together. However, this operation is an error-prone and tedious job. This thesis develops an automated method of extracting the landmark spots of an image based on landmark profile. The landmark profile is created by clustering the previously identified landmarks of sample images of the same type. The profile contains the various properties of clusters identified for each landmark. When the landmarks of a new image need to be fount all the candidate spots of each landmark are first identified by examining the properties of its clusters. Subsequently, all the landmark spots of the new image are collectively found by the well-known optimization algorithm $A^*$. The performance of this method is illustrated by various experiments on real 2DE images of mouse's brain-tissues.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.513-516
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• 2005

단백질 2DE 이미지 분석의 주요작업은 스팟 매칭에 의한 동일한 종류의 단백질 그룹인 패어링 클래스를 구성하는 것으로서 단백질간의 상호 작용, 질병에 관련한 단백질의 변화 등을 관찰할 수 있다. 하지만 2DE 실험의 여러 가지 문제점으로 인하여 패어링 클래스는 먼지, 공기방울 등 에러를 포함하게 되며 이런 에러들은 왜곡된 분석결과를 초래한다. 따라서 본 논문에서는 동일한 조직에서 같은 종류의 단백질은 발현량이 비슷하다는 특성을 이용하여 패어링 클래스의 개개의 스팟을 참조 스팟 속성으로 나눈 값을 유사도로 정의하고, 스팟의 유사도가 사용자에 의하여 선택되는 필터링 배수에 의한 범위를 벗어날 때 에러 스팟으로 간주하여 제거되는 에러 필터링 기법을 제안한다. 실험에서는 정확도(Precision), 재현율(Recall) 및 조화평균(Harmonic-mean) 값을 사용하여 제안된 필터링 기법의 타당성을 보여준다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.201-210
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• 2023

Deep learning-based face verificattion model show high performance and are used in many fields, but there is a possibility the user's face image may be leaked in the process of inputting the face image to the model. Althoughde-identification technology exists as a method for minimizing the exposure of face features, there is a problemin that verification performance decreases when the existing technology is applied. In this paper, after combining the face features of other person, a de-identified face image is created through StyleGAN. In addition, we propose a method of optimizingthe combining ratio of features according to the face verification model using HopSkipJumpAttack. We visualize the images generated by the proposed method to check the de-identification performance, and evaluate the ability to maintain the performance of the face verification model through experiments. That is, face verification can be performed using the de-identified image generated through the proposed method, and leakage of face personal information can be prevented.

• Journal of Korean Philosophical Society
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• v.117
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• pp.355-372
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• 2011

G. Deleuze a $exerc{\acute{e}}$ sa philosophie $cin{\acute{e}}mathographique$ dans ses œuvres essentielles $Cin{\acute{e}}ma$ 1: l'Image-Mouvement(Minuit:1983) et $Cin{\acute{e}}ma$ 2: l'Image-Temps(Minuit:1985) qui n'indiquent pas l'histoire $cin{\acute{e}}mathographique$ mais la taxinomie, et par $cons{\acute{e}}quent$, de l'image et du code. Cette ${\acute{e}}tude$ consiste donc $\grave{a}$ rendre compte la de l'image que G. Deleuze touche dans cette $d{\acute{e}}finition$ et $\grave{a}$ $v{\acute{e}}rifier$ quelles images peuvent ${\hat{e}}tre$ $cat{\acute{e}}goris{\acute{e}}es$: comment. Nous distinguons l'image-mouvement et l'image-temps qui sont les $cat{\acute{e}}gories$ essentielles chez $Cin{\acute{e}}ma$. C'est surtout sur ce point que nous insistons. Dans ce cas, nous discutons aussi de la question des spectateurs du film qui conduit. Cette question permet susciter de la $mani{\grave{e}}re$ $d^{\prime}{\hat{e}}tre$ des spectateurs entre le film qui est $compos{\acute{e}}$ de l'image-mouvement dont G. Deleuze decrit comme 'classique' et le film qui est $trait{\acute{e}}$ de l'lmage-temps dont il $d{\acute{e}}finit$ comme 'moderne': quelle variation. Dans ce point $d^{\prime}{\acute{e}}tude$, G. Deuleuze ecrit cette question $mentionn{\acute{e}}e$ $\grave{a}$ travers son oeuvre $Cin{\acute{e}}ma$($\grave{a}$ voir ch.7, Volume2).

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.103-114
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• 2012

The many DE based data hiding schemes and the many data hiding schemes based on Histogram shifting are researched in spatial domain. The data hiding scheme based on Histogram shifting have an advantage of low distortion of the stego image. But the capacity is low than other schemes. On the other hands, the DE based data hiding schemes have an advantage of high capacity. But the quality of the stego image is low. In this paper, new data hiding scheme which has the similar capacity but the increased quality of the stego image is proposed. The prediction error is divided into blocks to embed the secret data in this scheme. The prediction errors in the block are scanned before the secret data is embedded. If one prediction error is low than the threshold at least, the block is changed to embed the secret data. Otherwise the secret data is not embedded. The distortion of the stego image is minimized by this method. But the block that the secret data embedded is marked in location map. So the additional information to extract the secret data and recover the cover image is needed.

• Fashion & Textile Research Journal
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• v.13 no.2
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• pp.155-161
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• 2011

This thesis, concerning Femme Fatale Images Costume Form in paintings viewed from DeLong's Theory, analyzed frequency and traits on the basis of DeLong's Form Observation Theory and drew out the result as followings. First, Costume Form was mostly open, whole, planer integration, rounded, and indeterminate. The styles were similar each other. Second, surface structure was expressed by line & shape, color, texture, and pattern of which color had the highest priority. Next, line & shape and texture had the priority in order. They were expressed through intereaction. Third, the traits of Costume Form were a similar color harmony or large light and darkness contrast+soft quality+interaction by ambiguous line & shape. So, Femme Fatale Image in paintings was expressed by soft and pure images and erotic images.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.753-758
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• 2009

Recently the high-end CMOS image sensors are developed, conforming to the SMIA CCP2 specification, which is a high-speed low-power serial interface based on LVDS technology. But this kind of technology trend makes the existing equipments are no longer useful, although their capability is still good enough to handle the recent image sensors if there was no interfacing problem. In this paper, we propose and realize a data protocol conversion system that translates the SMIA CCP2 serial signals into the existing 10-bit parallel signals. The proposed system is composed of a de-serializer and a FPCA chip, and thus can be constructed on a small PCB which enables easy integration between the existing equipments and the new high-end image sensors. Besides, the maximum transfer rate by the SMIA specification is also achieved on the implemented system. So it is expected that the implemented system can be used as a general-purpose protocol converter in a variety of sensor-related application fields.