• Proceedings of the Acoustical Society of Korea Conference
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• 1995.06a
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• pp.96-99
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• 1995

본 연구는 특징 파라메터의 특성을 고려한 신경회로망에 관한 연구로서 패턴블럭 선택적 신경회로망을 제안하고, 제안한 신경회로망의 성능을 평가하기 위하여 한국어 단모음에 대한 불특정 화자 인식 실험을 하였다. 각 패턴에 따른 특징 파라메터의 변화를 고려하지 않은 기존의 패턴매칭 알고리즘에 비하여 제안된 신경회로망은 인가된 패턴을 파라메터의 특성에 맞게 몇 개의 부패턴으로 분할한 후 가장 최적의 부패턴을 선택하여 학습하고 인지하는 것이 그 특성이다.

• Elastomers and Composites
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• v.34 no.1
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• pp.45-52
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• 1999

This paper describes how the gold particles self assemble on the specific phase on the microphase separated block copolymer thin film and form a well ordered patterns. For this study, polystyrene-polybutadiene-polystyrene (PS-PB-PS) triblock copolymer (30wt % PS) thin films (${\sim}100nm$) having a cylindrical morphology were cast from 0.1wt% toluene solution to be used as polymer thin film templates. The films having either vertical PS cylinders or in-plane PS cylinders in PB matrix from each different solvent evaporation condition were obtained. Cross-sectional transmission electron microscopy(TEM) was used to study the surface and bulk morphologies of block copolymer thin films. Small amount of gold particles was evaporated on a block copolymer thin film template to obtain a nano-scale pattern. When an as-cast thin film template was used, gold particles preferentially self assemble on the low surface tension PB phase and a relatively well ordered pattern in nano-scale was produced. However, after the formation of a low surface energy PB rich layer upon annealing, a gold self-assembled pattern was not observed.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.647-656
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• 2011

Incidence matrix is a useful tool for presenting incomplete block designs; however, it is inadequate to use only an incidence matrix in examining whether a certain incomplete block design becomes a balanced incomplete block design or not. We can use a structural matrix as a useful tool to show whether a certain incomplete block design becomes a balanced incomplete block design or not. We propose an augmented incidence matrix and ${\lambda}$ matrix as another tools for evaluating incomplete block designs. Through the augmented incidenc matrix and ${\lambda}$ matrix, we can ascertain whether a certain incomplete block design becomes a balance incomplete block design or not.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.155-163
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• 2003

마이크로어레이를 이용한 발현실험이 기하급수적으로 늘어남에 따라 마이크로어레이이미지를 자동으로 처리하는 기술에 대한 요구가 커지고 있고, 이에 대한 연구도 많아지고 있다. 마이크로어레이 이미지를 자동으로 처리하기 위해서는 각 이미지가 가지고 있는 스팟 패턴를 알아보고, 자동화 정도를 측정할 수 있는 품질평가함수가 필요하다. 우리는 본 논문에서 마이크로어레이 이미지 분석의 자동화에 대한 평가를 도와주는 스팟 패턴의 품질평가함수(quality measure)를 정의하고, 각 실험이 얼마나 잘 이루어졌는지를 예측할 수 있는 품질제어평가함수(quality control measure)를 정의한다. 또한 마이크로어레이 실험과 이미지에 대한 품질을 평가하기 위해서 이미지내의 블럭들과 스팟들에 대한 통계량을 이용하고, 스팟들의 발현값에 대한 정확도를 측정하기 위한 품질평가함수들을 정의한다. 이러한 품질평가함수의 측정을 위해서 최대정규정점의 집합(maximal regular point set)과 메타그리드를 이용한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.113-116
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• 2010

본 논문은 보행중인 시각장애인에 장착된 카메라로부터 획득한 영상에서 보도와 차도 영역을 구분하기 위한 영역분할 기법과 질감 특징추출 기법에 대해 제안한다. 영상내의 허프 변환을 이용한 라인검출을 통해 도로 경계선을 검출하고, 분할된 영역을 원근에 따라 3 레벨로 구분하여 질감 특징성분을 추출함으로써 보도와 차도영역을 분리한다. 보도블럭이 가지는 복잡하고 다양한 특성의 패턴과 차도의 균일한 질감을 가진 영역의 특성을 비교하기 위하여 회전에 강건한 LBP, GLCM 질감 특징성분들을 이용함으로써 두 영역을 구분하였다. 제안된 방법은 낮과 밤 영상에 대해 실험한 결과 조도의 변화에 강건하게 영역을 분리할 수 있었고, 또한 보행자와 장애물이 많은 영상에서도 회전이나 폐색에 관계없이 영역 분리가 가능함을 검증하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.7A
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• pp.1234-1249
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• 2001

본 논문에서는 확장 가능한 병렬컴퓨터 시스템의 성능에 중요한 영향을 주는 MIN에서 통신 지연을 개선하기 위한 방법에 대해 고찰하였다. 네트워크의 트래픽이 매우 많거나 고르지 않게 분포되었을 때 개선하기 위한 효율적인 스위칭 방안으로, 본 논문에서 제안된 HWCR 스위칭 방법은 양방향 MIN 상에서 웜홀 라우팅을 수행시 라우팅 경로 상에 패킷들이 충돌이 발생하여 링크가 블럭되었을 때 VCT로 전환하는 방법이다. 각 스위치에 계층적 버퍼를 설치함으로서 더욱 효율적인 라우팅을 할 수 있도록 설계하였다. 이는 VCT 라우팅이 일률적으로 각 스테이지마다 커다란 크기의 버퍼를 부여함에 반하여 매우 Cost-Effective 한 버퍼 할당 방법이다. 이를 정당화하고 버퍼크기와 라우팅시 평균 통신 지연과의 관계를 적정화하기 위해 균일 트래픽 패턴과 여러 가지 비균일 트래픽 패턴 하에서 성능평가를 하였다. 성능결과는 부하가 0.4 일 때 제안된 HWCR 방법이 VCT 라이팅 보다 2-3배의 버퍼가 절약됨을 보여준다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.185-196
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• 1999

In this dissertation, a new off-line recognition system is proposed using a subgraph pattern, neural network. After thinning is applied to input characters, balance having a noise elimination function on location is performed. Then as the first step for recognition procedure, circular elements are extracted and recognized. From the subblock HT, space feature points such as endpoint, flex point, bridge point are extracted and a subgraph pattern is formed observing the relations among them. A region where vowel can exist is allocated and a candidate point of the vowel is extracted. Then, using the subgraph pattern dictionary, a vowel is recognized. A same method is applied to extract horizontal vowels and the vowel is recognized through a simple structural analysis. For verification of recognition subgraph in this paper, experiments are done with the most frequently used Myngjo font, Gothic font for printed characters and handwritten characters. In case of Gothic font, character recognition rate was 98.9%. For Myngjo font characters, the recognition rate was 98.2%. For handwritten characters, the recognition rate was 92.5%. The total recognition rate was 94.8% with mixed handwriting and printing characters for multi-font recognition.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.2
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• pp.180-195
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• 1991

In this paper, we studied on new method of recognition using structural information to recognize character pattern in orginal shape of Hangeul. First, for the purpose of knowing location of character in input image. it processed Making block. Second, after we investigated. whether vertical vowel exited or not in character image accordingly the center of gravity of Hangeul. each character was classified into Type of Hangeul by searching location and length for horizontal vowel and short pole. Last, we processed it by means of template matching which calculate Uclid's distance on each Jaso in accordance to type classified. This paper made an experiment on 2350 characters and obtained 98.3% classifing rate and 95.2% recognizing rate.

• The Mathematical Education
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• v.46 no.2 s.117
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• pp.227-237
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• 2007

This research analyzes students' response types in the creativity assessment by using pattern block, geoboard, and pantomino. 74 students from third grade to sixth grade participated in this research. 15 minutes were given to pattern block and geoboard questions. 74 students showed 393 answers in pattern block question and 590 answers in geoboard question. In pantomino, 20 minutes were given and 54 students showed 443 types of answers. The results are as follows: First, in the students' responses, tendency of using particular piece or figure, which presents conjoining in a piece selection and positioning, showed strongly. For example, usage of hexagon and trapezoid pieces were higer in pattern block and usage of L, P, and I pieces were higer in pentomino. Second, it is confirmed that creativity's subordinate factors, fluency, flexibility, and originality, are separate from each other. To illustrate, in pattern block, three students', who showed 11 types of responses in fluency, flexibility responses were each 5, 6, and 8 types. Specially, among those studenys, only one could achieve a point in originality. Third, students' response types categorized in this research could be used for a bae-data to mark grades on originality.

• Journal of Broadcast Engineering
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• v.5 no.2
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• pp.247-259
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• 2000

This paper introduces a new technique that reduces the search times and Improves the accuracy of motion estimation using high temporal and spatial correlation of motion vector. Instead of using the fixed first search Point of previously proposed search algorithms, the proposed method finds more accurate first search point as to compensating searching area using high temporal and spatial correlation of motion vector. Therefore, the main idea of proposed method is to find first search point to improve the performance of motion estimation and reduce the search times. The proposed method utilizes the direction of the same coordinate block of the previous frame compared with a block of the current frame to use temporal correlation and the direction of the adjacent blocks of the current frame to use spatial correlation. Based on these directions, we compute the first search point. We search the motion vector in the middle of computed first search point with two fixed search patterns. Using that idea, an efficient adaptive predicted direction search algorithm (APDSA) for block matching motion estimation is proposed. In the experimental results show that the PSNR values are improved up to the 3.6dB as depend on the Image sequences and advanced about 1.7dB on an average. The results of the comparison show that the performance of the proposed APDSA algorithm is better than those of other fast search algorithms whether the image sequence contains fast or slow motion, and is similar to the performance of the FS (Full Search) algorithm. Simulation results also show that the performance of the APDSA scheme gives better subjective picture quality than the other fast search algorithms and is closer to that of the FS algorithm.