• 한국정보통신학회논문지
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• 제8권7호
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• pp.1546-1552
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• 2004

전자 잉크 데이터는 펜 기반 컴퓨터나 PDA(Personal Digital Assistants)둥에서 자연스럽고 편리한 데이터 입력을 제공하기 위해 펜으로 입력한 데이터를 온라인 문자 인식기를 이용하여 아스키 문자로 변환하지 않고 스크립트 형태로 저장하는 데이터를 말한다. 전자 잉크 데이터를 사용하기 위해 가장 중요한 것 중 하나는 전자 잉크 데이터의 검색 문제이다. 본 연구에서는 전자 잉크 데이터를 획 특징 벡터 형태로 저장하고, 이를 이용해서 잉크 데이터를 검색하는 정합 알고리즘을 제안하고 구현하였다. 제안된 정합 알고리즘은 입력된 데이터를 곡률을 이용하여 기본획으로 분리하고 기본획의 종류를 결정한 다음 획 특징 벡터를 생성한다. 그리고 동적 프로그래밍 기법에 의해 획 특징 벡터의 거리값을 계산한다.

• 한국공작기계학회논문집
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• 제17권2호
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• pp.90-96
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• 2008

A pneumatic system was proposed to evaluate displacement accuracy of the pneumatic actuator without external load and to analyze capability of integration of the proposed valve system. The proposed pneumatic system consisted of a combination of pneumatic valves, two proximity sensors, and a programmable logic controller(PLC). The position controller is based on the PLC controller connected with the proximity sensors. Displacement accuracy of the pneumatic cylinder stroke was tested by varying air pressures of the supply and discharge-side and strokes of the pneumatic cylinder. The displacement accuracy of the pneumatic cylinder stroke increased as the supply and discharge side of air pressure increased at the stroke length of 133mm. Also the displacement accuracy increased as the stroke length increased with a fixed supply and discharge side of air pressure of the pneumatic cylinder as 3.5 and $4.5kg/cm^2$, respectively. The most accurate displacement of the pneumatic cylinder(i.e., standard deviation of 0.01 mm) was obtained at the supply and discharge side of air pressure of 4.0 and $5.0kg/cm^2$, respectively, and strokes of 170 and 190 mm among arbitrarily selected supply and discharge side air pressures and strokes.

• 대한전자공학회논문지
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• 제27권11호
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• pp.103-110
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• 1990

本 論文에서는 퍼지推論을 利用한 온라인 筆記體 한글文字의 認識에 관하여 硏究하였다. 筆記者 마다의 筆體變動으로 인한 애매성을 解決하기 위해, 각 스트로크間의 相對位置情報마다 作成되는 生成 을 퍼지推論에 適用하여 筆記體 한글을 認識하였다. 處理시간을 短縮하기 위하여, 入力文字의 스트로크 數에 따라 미리 分類한 基準文字의 小群을 선택하였고, 이 小群의 文字들과 入力文字와의 거리에 許容限果를 주어 基準文字들을 감소시켜 퍼지推論에 적용하였다. 10人으로부터 수집된 39990字의 筆記體 한글文字에 대하여 實驗한 結果, $99.5{\%}$의 認識과 0.4초/文字의 平均處理 速度를 얻었다.

• 한국통신학회논문지
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• 제15권7호
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• pp.618-627
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• 1990

본 논문은 한글문자 인식을 위하여 새로운 접촉소자의 분리 및 자획연결 특징추출 알고리즘을 제안하였다. 자소 접촉특징을 분석하여 자소접촉 형태별로 분류하고 자획연결특징 추출, 접촉자소의 분리, 문자형식 분류를 시행한다. 분리된 자소로부터 설정된 표준패턴으로 정규화하고 자소별 굴곡특징의 상대위치값으로 부터의 특징을 입력패턴으로 신경망을 이용하여 인식 실험을 하였다. 여기에서의 학습은 BEP 알고리즘을 이용하였다. 접촉자소의 분리, 형식분리, 자획연결특징 추출 및 인식 실험에서 제안된 알고리즘이 좋은 결과를 나타내었다.

• The Journal of Korean Physical Therapy
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• 제11권1호
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• pp.23-43
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• 1999

A study on severity of cerebro-vascular accident patients in Korea was conduced in order to determine the risk factors affecting the severity of stroke patients. This study was performed by interviewing a total of 477 hospitalized and ambulatory patient of CVA in Seoul, Taejon, and Taegu and Pusan areas from April 1, 1998 through June 30, 1998. The results are as follows; 1. Two hundred and sixty seven $(56\%)$ at Four hundred and seventy seven subjects were manes, md two hundred and ten $(44\%)$ were females. $28.3\%$ of the subjects' ages were 50's and $27.3\%$ were 60's and $18.5\%$ were 70's. $22.6\%$ of the subjects' occupations were home makers, $17.8\%$ were farming. $66.4\%$ of the subjects spent their childhood in urban areas and $33.1\%$in rural areas. $41.7\%$ of the subjects became violin of CVA in Spring, $35.0\%$ in Winter. 2. On physical and mental conditions of the subjects at the occurrence of CVA, $28.7\%$ of the subjects were engaged in physical activities. $22.6\%$ were in a rest stale $19.5\%$ were in sleeping and $18.9\%$ were mentally shocked. $79.4\%$ of the male subjects and $14.8\%$ of female subjects smoked cigarettes. $82\%$ of male subjects drank coffee. $81.1\%$ of the subjects did not exercise regularly. $45.9\%$ of the subjects had the systolic blood pressures in the range of 160 to 199 mmHg and $5.6\%$ of the subjects had hypertension before the occurrence of stroke and $11.7\%$ had diabetes. 3. Of the types of strokes, cerebral hemorrhage was the highest $(49.1\%)$. cerebral infarction was the second $(41.1\%)$. Severe strokes were found in cerebral hemorrhage cases $(52.0\%)$ and cerebral infarction cases $(40.1\%).\;50.9\%$. of the male subjects were moderate cases, $50.9\%$ were severe cases. In females, moderate cases were $72.4\%$, severe cases $15.2\%$. $37.5\%$ of the subjects who had preceding diseases were severe cases, and $15.6\%$ of the subjects without preceding diseases were severe cases. $50.7\%$ of the subjects whose family members had strokes had severe strokes. $34\%$ of the subjects sleeping less than 6 hours a day, $42.4\%$ of the subjects with irregular eating habits, $33.3\%$ of the subjects who liked meat, and $42.3\%$ of the subjects who liked salty foods had severe strokes. $35.9\%$ of the subjects with hot temper, $27.6\%$ of the subjects with moderate temper and $14.5\%$ of subjects with mild temper were severe cases. 4. The correlation coefficient between obesity and blood pressure was 0.094.

• 소성∙가공
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• 제18권7호
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• pp.513-518
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• 2009

Large load is required in forging of large-scale components which becomes a critical restriction in practice. In the present study, two methods of incremental forging were investigated for the purpose of reducing the load required for forging of large and thick plates. The forging was applied primarily to obtain fine grains by imposing large amount of plastic deformation to the plates. One was to use nine strokes with a flat die and the other was to use three strokes with a curved die. The die moves vertically in the former while it moves vertically as well as rolls horizontally in the latter. Deformation of the slab in each case was analyzed by rigid-plastic finite element method and as a result, variations of load and slab holding force, and distributions of effective strain and thickness were predicted.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.459-462
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• 2009

해칭은 물체의 곡률방향을 따라 평행한 선 스트로크를 그려 모양과 음영을 표현하는 효과적인 예술적 기법이다. 본 논문에서는 주어진 스트로크 방향으로 선 스트로크를 그리는 실시간 픽셀단위 영상공간 방법을 제시한다. 본 해칭 방법은 화면 위에서 직접 적용되기 때문에 복잡한 구조를 갖는 3차원 장면을 효율적으로 실시간에 그려낼 수 있다. 우리는 본 방법을 GPU의 픽셀 쉐이더를 이용하여 구현한다.

• 전자공학회논문지B
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• 제32B권1호
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• pp.147-153
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• 1995

In this paper, we propose the position- and size-independent handwritten on-line Korean character recognition system using multilayer neural networks which are trained with error back-propagation learning algorithm and the features of Hanguel consonants and vowels. Starting point, end point, and three vectors from starting point to end point of each stroke of characters inputted from mouse or tablet are applied as inputs of neural networks. If double consonants and vowels are separated by single consonants and vowels, all consonants and vowels have at most four strokes. Therefore, four neural networks learn the consonants and the vowels having each number of strokes. Also, we propose the algorithm of separating the consonants and vowels and constructing a character.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제55권9호
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• pp.449-458
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• 2006

In general, a DC solenoid valve is evaluated by the performances such as the attraction force at maximum and minimum strokes, temperature rising, power consumption and time of action. The importance of each performance may be different according to the specific application purpose. When the temperature rising and power consumption are fixed, however, the performance of DC solenoid valve is usually evaluated by the attraction force at maximum and minimum strokes and time of action. In this paper, the shape of the pole face of plunger and core is optimized to increase the attraction force at maximum stroke, and thereby to minimize the time of action. For the shape optimization, (1+1) evolution strategy is incorporated with the response surface method(RSM) and finite element method(FEM).

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1157-1160
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• 2002

This paper proposes an efficient method to recognize Hangeul in video open captions. The open captions in news video can play an important role in the video indexing. The strokes of Korean character have a very strong horizontal and vertical directionality and some strokes appear repeatedly in each character. Based on this characteristics, in this paper, we propose an efficient algorithm to extract the character regions in open caption and recognize the characters based on these characteristics of Korean character. The simulation results demonstrate the efficiency of our algorithm in terms of computation time and recognition accuracy.