• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.50-53
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• 2003

본 논문에서는 multi-camera를 이용한 인터넷 기반의 지능적 감시 시스템을 제안한다. 제안된 시스템은 두 종류의 카메라, static camera와 pan-tilt camera, 를 이용하여 출입구를 감시하고, 비인가자를 추적한다. static camera는 출·입을 검출하고 출입자를 인가자와 비인가자로 분류하는데 이용되고, pan-tilt camera는 비인가자로 분류된 출입자를 추적하는데 이용된다. 제안된 시스템은 세 가지 단계: 출입구 감시, 출입자 검출 및 분류(인가자/비인가자), 비인가자 추적으로 구성된다 출입구 감시는 출입문의 밝기값 변화를 이용한다 출입자 검출 및 분류는 skin color 모델과 얼굴 크기, 위치와 관련된 휴리스틱을 이용하여 얼굴을 검출하고, PCA(Principal Component Analysis)를 이용한 eigenspace상에서의 유클리디언 디스턴스로 템플릿 얼굴과 입력 얼굴의 유사도를 계산하여 인가자인지 비인가자인지 분류한다. 비인가자 추적은 pan-tilt 카메라를 이용하여, static camera에서 분류된, 비인가자의 움직임을 검출하고 카메라를 제어함으로써 추적한다 제안된 시스템은 무인 감시 상황에서 비인가자의 출입시 감시자에게 경고 신호를 제공하고, 감시지역에서 사건 발생시, 사건의 개요를 파악하는 중요한 정보를 빠른 시간에 제공할 수 있다는 장점을 가진다.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.201-226
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• 2014

This study aims to develop measures to turn former users and non-users of public libraries back into users by understanding the differences between the user, former user and non-user groups in terms of their perceptions to public libraries, as well as the differences between these groups in their perceptions regarding the factors to non-use of public libraries. A literature review and statistical analysis of the results from a questionnaire survey were conducted to identify the differences. The results from the statistical analysis showed significant differences between the user, former user and non-user groups in terms of their perceptions to public libraries and the non-use factors. From the results, we could categorize the factors into common non-use factors, non-use-only factors, and use interrupt factors, and we develop suggestions to improve the factors in order to move non-users and former users to frequent users of the public libraries.

• KLA journal
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• v.37 no.1 s.296
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• pp.32-37
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• 1996

정보관리의 최종 목적은 보다 적극적인 정보 이용의 효율성을 제고하는데 있다. 이를 위한 해결 방안에는 여러 방법이 있을 수 있으나 본 연구에서는 비이용 현황을 조사하고 비이용자 집단이 갖는 특성을 분석하고 이를 통한 비이용 요인을 해소하여 결과적으로 잠재적 이용자들을 성실한 도서관 정보이용자로 전환할 수 있는 기초 자료를 제공하였다. 연구의 결과 과학기술 분야 연구자들을 대상으로 비이용자들의 분표 상태를 밝히고 이들의 비이용 요인으로서 근속 연수, 전문직 사서들의 근무 태도, 연구실과 도서관과의 거리등이 도서관 이용에 결정적 역할을 한다는 사실을 밝혔다. 이러한 비이용 요인의 규명은 현행 정보시스템을 개선하거나 새로운 정보시스템을 설계할 때 참고할 수 있는 근거가 될 수 있다.

• KLA journal
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• v.37 no.5 s.300
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• pp.32-37
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• 1996

정보관리의 최종 목적은 보다 적극적인 정보 이용의 효율성을 제고하는데 있다. 이를 위한 해결 방안에는 여러 방법이 있을 수 있으나 본 연구에서는 비이용 현황을 조사하고 비이용자 집단이 갖는 특성을 분석하고 이를 통한 비이용 요인을 해소하여 결과적으로 잠재적 이용자들을 성실한 도서관 정보이용자로 전환할 수 있는 기초자료를 제공하였다. 연구의 결과 과학기술 분야 연구자들을 대상으로 비이용자들의 분포 상태를 밝히고 이들의 비이용 요인으로서 근속 연수, 전문직 사서들의 근무 태도, 연구실과 도서관과의 거리등이 도서관 이용에 결정적 역할을 한다는 사실을 밝혔다. 이러한 비이용 요인의 규명은 현행 정보시스템을 개선하거나 새로운 정보시스템을 설계할 때 참고할 수 있는 근거가 될 수 있다.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.213-216
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• 2014

본 연구는 현재 공공도서관 비이용자이나 향후 이용할 가능성이 있는 잠재적 이용자의 공공도서관 비이용 원인이 무엇인지를 탐색하는 것을 목적으로 하며, 이를 위해 도서관 이용 중단자 및 비이용자 3명을 대상으로 한 심층면담의 내용을 분석하였다. 분석 결과, 잠재적 이용자들의 이용/비이용에 영향을 미치는 요인들로서 '동기', '도서관 지식', '만족', '접근성', '대용채널'의 5가지를 파악할 수 있었으며, 공공도서관에 대한 요구사항이 개선되었을 경우 이용할 의향이 있는 것으로 나타났다.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.101-112
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• 2017

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.249-258
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• 2019

The health care services are the most basic social institutions that are provided to citizen including disabled persons for improvement of health. However, the study of the difference of health care services according to the speech therapy use in the people with speech-language disorders was insufficient. The aim of this investigation was to compare the awareness of health care services and characteristics of people with speech-language disorders according to speech therapy use. The researchers selected 229 people with language disorder using raw data of National Survey of the Disabled Person (2017). We compared the characteristics and health care services of people with speech-language disorders by distinguishing between speech therapy non-users and speech therapy users. Among the 229 people with language disorder, speech therapy users were 37 persons (16.2%). In comparison with non-users, users were younger, more preschoolers, more family incomes, and intellectual disabilities and autistic disorder were the most common types of disability enrollment. Users had a lower proportion of unmet medical needs than non-users. For the reasons of unmet medical need, there were 6.8% and 6.3% of the "economic reasons" and "communication difficulties" Both users and non-users responded that "disability management services" need to be strengthened by the government. In conclusion, we suggest that access to health care services needs to be increased to lower the barriers of speech therapy use.

• Journal of Labour Economics
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• v.34 no.3
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• pp.119-139
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• 2011

Using a establishment-worker matched data, this paper estimates wage differentials between standard and non-standard workers. Unlike previous studies, we estimate a fixed-effect model for the tree-way error-components that control for both unobserved individual heterogeneities and unobserved firm heterogeneities. The estimation results show that standard workers earn 6.5~8.4% mire than non-standard workers. This wage premium is 30~40% of the wage differential estimated from the OLS model. The results implies that a large proportion of the wage differentials between standard and non standard workers can be explained by unobserved firm and individual characteristics.

• 한국노년학
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• v.27 no.2
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• pp.393-408
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• 2007

This study examines the impact of retirement on psychological well-being of the elderly and identifies whether associative factors of psychological well-being differ between retired and non-retired persons. Psychological well-being is measured by the PGCMS developed by Lawton. The sample includes 1,625 older adults aged 60 and over, which derived from the cross-sectional data of the "Aging and the Quality of Life of the Elderly in Korea: A Longitudinal Study" living in Seoul and Chuncheon in 2003. Multivariate OLS regression results show that retirement is not associated with psychological well-being after controlling socio-demographic characteristics, economic status, health status, family and social relations, participation in social activities, and satisfaction with hobbies and learning needs. Also, associative factors of psychological well-being differ between retired and non-retired persons. For retired persons, greater social activities and higher satisfaction with hobbies are associated with the higher level of psychological well-being whereas higher satisfaction with learning needs has a positive relationship with the higher level of psychological well-being for non-retired persons. Discussion and implications of the findings are presented, and limitations of this study are acknowledged.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.226-230
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• 2009

Intelligent Tutoring System (ITS) is a procedure of analyzing collected data for teaming, making a strategy and performing adequate service for learners. To perform suitable service for learners, modeling is the first step to collect data from the process of their learning. The model, however, cannot be authentic if collected data can contain learners' inconsistent behaviors or unpredictable learning inclination. This study focused on how to sort normal and abnormal data by analyzing collected data from learners through visualization. A model has been set up to assort unusual data from collected learner's data by using DOLLS-HI which makes possible to diagnose learner's learning propensity based on housing interior learning contents in the experiment. The created model has been confirmed its improved reliability comparing to previous one.