• Proceedings of the KAIS Fall Conference
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• 2002.05a
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• pp.160-162
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• 2002

본 논문은 LCD구동 IC 패키지 제조 분야에서 사용되는 TAB IC블랭킹 금형에 대해 신속하고 합리적인 설계를 수행하기 위하여 금형설계와 관련된 다년간 축적된 경험적지식과 설계지식을 전산정보화하여 지식베이스를 구축하였고, 설계에 필요한 TAP IC 패키지의 형상정보를 제공받기 위하여 표준적인 특징형상 입력모듈을 제안하였다. 또한 지식베이스를 통해 산출된 설계 결과를 3차원 모델러와 연계하여 3차원 형상생성 및 가공도면의 자동화를 실현하여, 기존의 TAB If 블랭킹 금형설계자 뿐만 아니라 신입설계자도 바로 실무에 적용할 수 있는 시스템으로 발전시키고자 한다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 1997.11a
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• pp.12-12
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• 1997

여러 가지 형태의 연소 불안정성 중에서 50-500Hz 사이에서 발생되며 길이방향 모드(longitudinal mode)로 특징이 있는 저주파수 불안정성이 램제트 혹은 재연소기(Afterburner)의 연소 불안정성에서 가장 중요한 것이라고 여겨진다. 본 논문에서는 램제트 흑은 재연소기에서 일어날 수 있는 길이 방향의 연소 불안정성을 Modal 해석법을 사용하여 수학적인 모델로 만들었다. 특히 이 모델의 선형형태는 어떤 형태든지 선형 속도에 민감한 Burning rate 모델을 사용할 수가 있어서 보다 포괄적인 형태로 만들어져 있으며, 이 모델을 이용하여 여러 가지 연소 형상과 불완전 연소 응답 등을 연구할 수 있다. 본 논문에서는 실제 연소 형상과 유사한 삼각형 모양의 연소 형상을 사용하여 기존의 다른 모델들과 비교 분석하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.283-284
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• 2009

본 논문은 단일 카메라 환경에서 손 형상을 입력정보로 사용하여 손 영역만을 분할한 후 자기 조직화 특징 지도(SOFM: Self Organized Feature Map) 신경망 알고리즘을 이용하여 손 형상을 인식함으로서 수화인식을 위한 보다 안정적이며 강인한 인식 시스템을 구현하고자 한다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.688-691
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• 2004

본 논문에서는 메쉬, 복셀, 골격 데이터를 포함하는 복합적인 옥트리 기반의 형상 표현을 이용하여 해마의 형상을 분석하기 위한 효과적인 방법을 제공한다. 먼저, 자기공명영상으로부터 분할된 해마 영역에 마칭큐브 알고리즘을 적용하여 다단계 메쉬 데이터를 생성한다. 이렇게 생성된 메쉬 모델을 하드웨어 깊이맵을 이용한 복셀화 과정을 통하여, 중간 단계의 이진 복셀 표현으로 변환한다. 마지막으로 광선 추적 방법에 의해 추출된 샘플 메쉬들에 대하여 L2 Norm을 계산함으로써 형상 특징을 생성한다. 본 연구에서 제시한 방법은 사용자 피킹 인터페이스를 이용하여 국부적 부위에서의 계층적 형상 분석을 가능하게 한다. 또한 계층적 Level-of-Detail 접근방법은 정확도를 유지하며 형상분석의 소요 시간을 절약하도록 한다.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.319-326
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• 2014

According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

• Journal of Advanced Navigation Technology
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• v.16 no.1
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• pp.151-157
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• 2012

Recently, owing to the technology advances in computer science and image processing, age of face classification have become prevalent topics. It is difficult to estimate age of facial shape with statistical figures because facial shape of the person should change due to not only biological gene but also personal habits. In this paper, we proposed a robust age of face classification method by using Gabor feature and fuzzy support vector machine(SVM). Gabor wavelet function is used for extracting facial feature vector and in order to solve the intrinsic age ambiguity problem, a fuzzy support vector machine(FSVM) is introduced. By utilizing the FSVM age membership functions is defined. Some experiments have conducted to testify the proposed approach and experimental results showed that the proposed method can achieve better age of face classification precision.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1992.06a
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• pp.498-502
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• 1992

• Journal of Korea Multimedia Society
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• v.12 no.3
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• pp.383-396
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• 2009

Bone age assessment has been widely used in pediatrics to identify endocrine problems of children. Since the number of trained doctors is far less than the demands, there has been numerous requests for automatic estimation of bone age. Therefore, in this paper, we propose an automatic bone age assessment method that utilizes pattern classification techniques. The proposed method consists of three modules; a finger segmentation module, a normalized shape model generation module and a bone age estimation module. The finger segmentation module segments fingers and epiphyseal regions by means of various image processing algorithms. The shape model abstraction module employ ASM to improves the accuracy of feature extraction for bone age estimation. In addition, SVM is used for estimation of bone age. Features for the estimation include the length of bone and the ratios of bone length. We evaluated the performance of the proposed method through statistical analysis by comparing the bone age assessment results by clinical experts and the proposed automatic method. Through the experimental results, the mean error of the assessment was 0.679 year, which was better than the average error acceptable in clinical practice.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.453-456
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• 2009

Impact resistance of shape memory alloy hybrid composite(SMAHC) plates were experimentally investigated. Shape memory alloy(SMA) have large failure strain and failure stress and can absorb large strain energies through phase transformation. SMA wires were embedded in composite plates to improve their weak impact resistance. Tensile tests of SMA wires were performed at various temperature to investigate their thermo-mechanical properties. Low-Velocity impact tests of several types of composite plates with SMA/Al/Fe were performed. Embedding SMA wires was most effective to improve impact resistance of composite plates. The effects of SMA position on impact resistance were also investigated.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.212-227
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• 2008

Since 3D face can be rotated freely in 3D space and illumination effects can be modeled properly, 3D face modeling Is more precise and realistic in face pose, illumination, and expression than 2D face modeling. Thus, 3D modeling is necessitated much in face recognition, game, avatar, and etc. In this paper, we propose a 3D face modeling method based on 3D morphable shape modeling. The proposed 3D modeling method first constructs a 3D morphable shape model out of 3D face scan data obtained using a 3D scanner Next, the proposed method extracts and matches feature points of the face from 2D image sequence containing a face to be modeled, and then estimates 3D vertex coordinates of the feature points using a factorization based SfM technique. Then, the proposed method obtains a 3D shape model of the face to be modeled by fitting the 3D vertices to the constructed 3D morphable shape model. Also, the proposed method makes a cylindrical texture map using 2D face image sequence. Finally, the proposed method builds a 3D face model by rendering the 3D face shape model with the cylindrical texture map. Through building processes of 3D face model by the proposed method, it is shown that the proposed method is relatively easy, fast and precise than the previous 3D face model methods.