• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.163-167
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• 2008

본 논문에서는 자계기반 무인주행 차량용 자계위치 인식장치의 성능향상에 대하여 다룬다. 자계위치인식장치는 자석의 위치를 검출하는 센서이다. 기존의 자계위치인식장치는 센서사이에 자석이 놓여있는 경우 자석의 위치를 검출하지 못하는 단점을 지니고 있다. 이는 자석의 위치검출 정밀도가 떨어지고 차량이 무인주행 시 조향각 오차가 발생한다. 따라서 본 논문에서는 기존의 자계위치 인식장치의 문제점을 극복하고 센서사이의 자석위치도 검출할 수 있는 방법을 제안한다. 제안하는 방법의 유용성을 입증하기 위하여 실험을 행하고 결과를 분석하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.379-381
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• 2006

본 연구는 디스플레이 제품의 OSD(On Screen Display) 메뉴의 문자 오류 검사 과정을 자동화하는 방법과 FMM 신경망을 이용한 실시간 문자인식 방법을 제안한다. 이는 일반적인 문자인식 문제와는 달리 시스템 환경에 대한 몇 가지 가정과 제약조건을 고려해야 한다. 예컨대 문제의 특성상 카메라 및 TV제어 기기부의 동작과 연동하는 작업 스케줄링 기능과 실시간 분석기능 등의 요건은 시스템개발을 복잡하게 하는 반면, 주어진 OSD 메뉴 데이터로부터 검증과정은 미지 패턴에 대한 인식과정을 단순화하여 일종의 판정(decision) 문제로 고려될 수 있게 한다. 본 연구에서는 디스플레이 제품의 OSD 메뉴와 같이 특수한 구조를 갖는 문서영상에 대한 논리적인 구조분석을 통해서 연속적인 문서영상을 발생시켜서 검증과정을 자동화하는 작업스케줄링 방법을 제안하고 인식의 방법론으로서 수정된 구조의 FMM신경망을 적용한다. 또한 실제 데이터를 사용한 실험결과를 통해 시스템의 유용성을 고찰한다.

• Journal of Korean Library and Information Science Society
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• v.43 no.1
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• pp.303-319
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• 2012

At the time of operating and studying the subject special librarians of university libraries, an aim of this study is to seek the ways for the users to be aware and make the best use of them, and to receive the necessary assistance from them. To achieve this, I examined carefully the operation and management states, and surveyed and analyzed the actual users' awareness of these operations. Furthermore, I investigated the way to improve the required qualifications to be subject-special librarians and the users' awareness of them. Therefore, I finally examined the way how they reconsidered the actual users in the university libraries.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.82-86
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• 2006

The design of a pattern recognition system generally involves the three aspects: preprocessing, feature extraction, and decision making. Among them, a feature extraction method determines an appropriate subspace of dimensionality in the original feature space of dimensionality so that it can reduce the complexity of the system and help to improve successful recognition rates. Linear transforms, such as principal component analysis, factor analysis, and linear discriminant analysis have been widely used in pattern recognition for feature extraction. This paper shows that singular value decomposition (SVD) can be applied usefully in feature extraction stage of pattern recognition. As an application, a remote sensing problem is applied to verify the usefulness of SVD. The experimental result indicates that the feature extraction using SVD can improve the recognition rate about 25% compared with that of PCA.

• Journal of Nutrition and Health
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• v.47 no.6
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• pp.463-474
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• 2014

Purpose: The aim of this study was to assess the food environment, particularly focusing on restaurants in three areas (Suwon city, Hwaseong Byeongieom-dong, and Bibong-myun). Methods: A total of 662 persons were surveyed on customers' perceptions of the food environment in restaurants. A structured questionnaire composed of 30 questions on 7 factors, sanitation (4 items), displaying information (5), food quality (12), information on nutritional and healthy food choice (6), restaurant's accessibility (1), availability (1), and affordability (1) was used. In addition, an expert assessment of restaurant sanitation, and information on nutritional healthy food choice was conducted through visiting 126 restaurants. Results: Scores (range of score : 1~7) for each factors assessing the restaurant food environment were 5.06 for sanitation factors, 5.05 for displaying information factors, 5.13 for taste appearance factors, and 4.35 for healthy menu factors. Informations on nutritional healthy food choice showed a low rate: only 16.24% of the subjects answered that there is a message encouraging choice of healthy foods and 27.4% answered that menus contain nutritional information. Significant differences in food environment were observed by region (city, town, rural). The restaurants food environment in the rural area turned out to be poorer than that of the other two areas. In comparison of customer perception and expert assessment, significant differences were observed for 'Employee appearances and uniforms are clean and tidy' (p < .05), and 'There is a message encouraging the choice of healthy foods' (p < .05). Conclusion: This study provided evidence for differences of restaurant food environment by regions. In the rural area, there is a problem in restaurant's accessibility, availability, and affordability because of a lack of variety in menu items and restaurants. This results suggest that there is a need for more healthy food restaurants in the rural area.

• Journal of the Korean Society for Railway
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• v.14 no.4
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• pp.376-382
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• 2011

The service quality of website has been recognized as an important factor for business productivity and affected the customer behavior. The logistics industry is no longer exceptional for these trends. This study attempts to find out relationship between the quality of railway logistics information service (reliability, availability, appearance, convenience) and the satisfaction of shipper. In the result of regression analysis, reliability and availability have effects to shipper's satisfaction. But appearance and convenience have no effects to shipper's satisfaction. The purpose of this paper is to suggest the strategy of railway logistics information service to increase the shipper's satisfaction.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.34-36
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• 2002

의료영상 처리시스템의 자동인식 결과 등과 함께 진단 중인 의죠 영상과 유사한 영상객체를 임의로 검색하여 부가정보로 활용할 수 있는 지능적 의료정보 시스템 구현에 대하여 논한다 의료 영상객체간 유사도 계산을 위하여 각 객체로부터 추출된 특징 정보를 객체 속성으로 이용하며, 이 들 특징 값들의 빈도와 관련 분포 속성 간 관련성 등을 고려한 유사객체 분류방식을 사용한다. 이와 같이 얻어진 영상객체 간 유사도 정보는 지식베이스로 관리되어 자동 영상 인식에 사용될 뿐 아니라 유사 영상 검색 및 진단의 근거자료로 사용된다. 즉 전문의나 병리학자들은 진단 과정에서 유사영상의 판독 결과 등을 참조함으로써 영상의 정확한 판독 및 진단 확증의 객관적 근거 자료를 학보하는데 도움을 받을 수 있다. 구현된 시스템의 적용 예로 자궁경부 세포진 영상인식 시스템을 이용하여 그 유용성을 보인다.

• 한국IT서비스학회:학술대회논문집
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• 2003.11a
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• pp.433-437
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• 2003

체계를 개발하기 위한 목적뿐만이 아니라 BPR, 예산측정, 효과도 분석 등 다양한 분야에서 이용하기 위한 구조가 제안되었으며 그러한 구조를 위한 프레임워크들이 전사적 차원에서 개발되고 있다. 또한, 여러가지 프레임워크를 기반으로 특수한 목적에 따라 구조의 테일러링하여 사용하고 있다. 본 논문에서는 기존의 미 국방성 구조 프레임워크와 프레임워크의 테일러링한 방법들을 살펴보고 장단점을 분석한 후 상황인식을 위한 한국형 운용구조를 제안한다. 제안하는 운용구조는 군의 운용현황을 가장 잘 알고 있는 현 업무자가 업무를 분석하고 구조를 작성할 수 있도록 지원하며 체계를 개발하는 업체나 체계구조를 작성하는 체계전문가와의 군의 사용자들간에 의사소통을 증가시킬 수 있는 방법을 제안하였다. 제안하는 방법을 전군적인 차원에서 상황을 인식하는 업무에 적용하여 제안하는 방법의 유용성을 판단하여 보았으며 제안하는 방법에 대한 분석은 미 카네기 멜론 대학에서 제안한 ATAM(Architecture Tradeoff Analysis Method)에 따라 분석하였다.

• Korean Journal of Social Welfare
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• v.67 no.3
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• pp.107-124
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• 2015

This study started from ideas on lack of discussion regarding age integration emphasized as an alternative paradigm for aged society and exclusion of policy target from discussion on age integration. This study analyzed potentiality of age integration through comparing the perception on impacts of age integration between policy target and professional. Results showed that policy target perceived social and individual effects of age integration more sceptically than professional. Also, policy target reported higher levels of agreement on development of age friendly environment and increase in social contribution by the aged as social impacts of age integration. Otherwise policy target, professional showed higher levels of agreement on enhancement of social solidarity and increase in mutual understanding among generations. In perception on individual impacts of age integration, policy target differed from professional by emphasizing extension of self-determination and self-autonomy. Lastly, group membership of policy target or professional significantly determined levels of agreement on positive impacts of age integration.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.220-234
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• 2013

The purpose of this study is to understand the types and features of subjectivity perceptions of the police by applying Q methodology that draw upon schematic model in subjectivity study. A survey was carried out among police officers in Gangwon province, South Korea, to classify the 61 selected Q-statements into a normal distribution using a 11 point scale. The collected data was analyzed using QUANL program, and principal component factor analysis using varimax rotation was used to identify the types of perceived image of the police. Type I can be categorized by a strong concern for the education & manpower management, Type II can be categorized by advocating for duty observance, Type III can be categorized by the pursuit of publicized police image and Type IV can be categorized by the suggestions for legal improvement. The use of Q methodology provides insights into the image of the police that would not be available through traditional methodologies and offers a foundation for essential efforts to address and overcome concerns about the image of the police.