• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.384-393
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• 2017

The purpose of this study was to find out the subjective cognition-patterns of school aged children with borderline intelligence function to the School using Q Methodology. Q-sample was included 21 statements obtained from literatures and in-depth interviews with 4 specialist & 4 children with borderline intelligence function. P-sample was consisted through the consent of 18 children with borderline intelligence function and their parents. The 21 selected Q-statements were classified into a normal distribution using a 5 point scale. The collected data analyzed using a Quanl PC program. This study found out two subjective cognition-patterns of school aged children with borderline intelligence function to the school. Two types were 'participatory & dependent type', and 'onlooking & atrophic type'. This research finding can be used to make clear understanding on diverse voices of school aged children with borderline intelligence function to the School. And this result will attribute to mediations of educational welfare practice for maintaining a safe & healthy learning environment.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.129-138
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• 2016

Recently, the number of children who are required to take special care are increasing because of the fast-changing society and the environment factor. Among them, most children in poor family are leading to Children with borderline intelligence, so urgent action are needed to prevent this situation. This study is conducted to establish the reason why children with borderline intelligence are taking place. In addition, this study embodies serious game as a solution which is able to prevent and cure this children with borderline intelligence problem. This game was made to improve weak memory, concentration and judgment of children with borderline intelligence and was verified in effectiveness by thirty people and experts.

• Korean Journal of Family Social Work
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• no.61
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• pp.137-168
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• 2018

The purpose of this study was to understand deeply the experience and the meaning of mother's parenting experience on borderline intellectual functioning adolescents. The collected data through an in-depth interviews with six mothers were analyzed according to the Colaizzi's 7 procedures of analysis. This study found out 7 categories, 23 clusters of themes and 92 topics of borderline intellectual functioning adolescents parenting experience of mothers. 'On the borderline, live a life wandering off uncertain course', 'Watching precarious growth of child', 'Adolescence, reachead the limit', 'Being afraid of facing the future', 'A helpless condition', 'Pushing through struggles', 'Hoping the society where my child can live together' was found as the categories of experience of the research objects. With these findings, this study makes some recommendations and suggestions for the practice.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.357-360
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• 2002

본 논문에서는 CCD 흑백 카메라를 이용하여 입력되는 인쇄체 한글 이미지의 문자를 인식하여 편집 가능한 텍스트 문서로 변환하는 시스템을 구현하였다. 문자 인식에 있어서 잡음에 강한 경계선 기울기 방법을 이용함으로써 문자의 구조적 특성에 근거한 윤곽선 정보를 추출할 수 있었다. 이를 이용하여 각 문자 이미지의 수평 및 수직 모음을 인지하고 6가지 유형으로 분류한 후, 자소 단위로 분리하고 최대 길이투영을 사용하여 모음을 인식하였다 분리된 자음은 경계선이 변화되는 위상의 형태를 미리 저장된 표준패턴과 비교하여 인식하였다. 인식된 문자는 KS 한글 완성형 코드로 문서 편집기에 출력되어 사용자에 제공되는 시스템을 구현하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.70-73
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• 2010

최근 IT 기술이 융합된 지능형 자동차 기술에 대한 관심이 높아짐에 따라 이에 대한 연구가 활발히 진행되고 있다. 차선 검출은 지능형 자동차의 주요 과제인 첨단 안전자동차 기술의 핵심적인 부분으로 국내외에서 다양한 방법들에 대한 연구가 진행되었다. 차량의 안전을 향상시키기 위해서는 충분한 제동거리 확보가 가능한 거리까지 정확하고 빠른 차선 검출이 이루어져야 한다. 기존의 경계선 검출기반 차선 검출은 소실점 근처에서 경계선 검출이 이루어지지 않았다. 이는 차선과 도로의 색이 잘 구분되지 않는 채널을 사용하는 문제에서 기인한다. 따라서 본 논문에서는 선형 판별 분석 기법을 이용하여 차선과 도로 색을 가장 잘 구분할 수 있는 RGB 가중치를 계산하여 이로부터 projection 영상을 만들고, 변환한 영상에서 경계선 검출을 수행함으로써 보다 정확한 경계선 검출 결과를 얻는 방법을 제안한다. 제안한 방법으로 얻은 영상과 기존의 흑백 영상에 동일한 경계선 검출기를 적용하여 성능을 비교하고, 이를 적용한 차선검출 실험결과를 제시한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.72-74
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• 2011

최근 IT 기술이 융합된 지능형 자동차 기술에 대한 관심이 높아짐에 따라 이에 대한 연구가 활발히 진행되고 있다. 차선 검출은 지능형 자동차의 주요 과제인 첨단 안전자동차 기술의 핵심적인 부분으로 국내외에서 다양한 방법들에 대한 연구가 진행되었다. 차량의 안전을 향상시키기 위해서는 충분한 제동거리 확보가 가능한 거리까지 정확하고 빠른 차선 검출이 이루어져야 한다. 기존의 경계선 검출기법들은 조명 변화에 따라 그 성능의 변화가 크게 발생하였다. 이는 차선과 도로의 사이의 값의 차이가 조명 조건에 따라 변하기 때문이다. 따라서 본 논문에서는 영상 분석을 통하여 경계선을 판단하는 값을 조절함으로써 환경에 적응적인 경계선 추출 방법을 제안한다. 차량 주행 영상에서 제안한 방법과 기존의 경계선 검출 기법을 적용하여 성능을 비교한다.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.25-35
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• 2018

Objective : The purpose of this study was to identify changes in reading ability among children with Borderline Intelligence by applying an electronic media reading training protocol. Methods : A picture book reading training protocol was applied to 10 childrens with borderline intelligence using electronic media to improve reading skills. This protocol was performed for 10 session once a week. After the analysis of the content validity index about the protocol presented in this study, this prococol was applied to the subjects. To analyze the changes of the reading ability for the subjects, KNISE-BAAT type A and B reading test were used. Results : According to the tests taken before and after implementing, the Application of Picture Booking Training Protocol using Electronic Media there was a significant improvement in Reading ability (Understanding words, Completion sentence, Vocabulary selection, Vocabulary arrangement, Understanding short text). However, there was no significant difference in Oral Reading. Conclusion : Application of Picture Booking Training Protocol using Electronic Media may be used as a beneficial measure to improve the reading abilities of children with Borderline Intellectual.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.672-676
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• 2010

This paper presents a learning rule that weights more on data near decision boundary. This learning rule generates better decision boundary by reducing the effect of outliers on the decision boundary. The proposed learning rule is integrated into IAFC neural network. IAFC neural network is stable to maintain previous learning results and is plastic to learn new data. The performance of the proposed fuzzy neural network is compared with performances of LVQ neural network and backpropagation neural network. The results show that the performance of the proposed fuzzy neural network is better than those of LVQ neural network and backpropagation neural network.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.21-27
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• 2018

Wearing degree and uneven wearing detection algorithm using horizontal edge information is proposed in this paper. The noise in the input image is removed by bilateral filter, and then edges are extracted from the filtered image by using the proposed mask. As the tire is worn, grooves of tire shoulder or sipes are changed more than the vertical grooves. Therefore the edges from grooves of tire shoulder or sipes have more information about the tire wearing than the edges from vertical grooves. Proposed mask that is reflected this feature is used to extract the horizontal edges. After edge extraction, the edge image is represented in two-level system. The edge pixels of the binarization image are used to decide the wearing degree and uneven wearing. This proposed method can be used easily without any other equipments. The proposed method is conducted with a real vehicle, and the experimental results show the good performance of the proposed method in detecting wearing degree and uneven wearing.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.575-581
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• 2007

Though the Hough transform is a well-known method for detecting analytical shape represented by a number of free parameters, the basic property of the Hough transform, the one-to-many mapping from an image space to a Hough space, causes the innate problem, the sensitivity to noise. To remedy this problem, Edge Strength Hough Transform (ESHT) was proposed and proved to reduce the noise sensitivity. However the performance of ESHT depends on the size of a Hough space and image and some other parameters which should be decided experimentally. In this paper, we derived formulae to decide 2 parameter values; decreasing parameter and broadening parameter, which play an important role in ESHT. Using the derived formulae, 2 parameter values can be decided only with the pre-determined values, the size of a Hough space and an image, which make it possible to decide them automatically. The experiments with different parameter values also support the result.