• 한국학교ㆍ지역보건교육학회지
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• 제9권2호
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• pp.81-90
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• 2008

Objectives: Since 80% of the information we get from the environment comes in through our eyes (Anshel JR, 1999), uncorrected visual problems negatively affect children's educational process and perceptual development. The objectives of this study were: 1st, to document the prevalence of learning related vision problem in primary school children. 2nd, to compare responses of children with those of parents on visual symptoms. Lastly, to determine if there is an association between visual symptoms and academic performance. Methods: We administered visual-symptom quality of life questionnaire developed by Oklahoma College of Optometry in Vision Development to 1031 primary school children and their parent. Visual symptoms responded by children and their parents were compared using Independent Sample t-test and the relation between visual symptoms and academic performance were calculated using Pearson Correlation tests. Results and Conclusions: The number of children who need further professional evaluation, that is visual-symptom scores were ${\geq}20$, reported by children(25%) was greater than that reported by parents(16%). And visual-symptom scores reported by children were significantly higher than those reported by parents in every grade(p<0.01, p<0.001). Visual symptoms reported by both children and parents were found to be inversely correlated to academic performance in every academic area and most of their correlations were statistically significant(p<0.05). Therefore, children with more visual-symptom reported by both group had negative effects on children's academic performance.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권2호
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• pp.95-99
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• 2006

A tape feeder of a SMD(Surface Mount Device) mounter is a device that sequentially feeds electronic components on a tape reel to the pick-up system of the mounter. As components are getting much smaller, feeding accuracy of a feeder becomes one of the most important factors for successful component pick-up. Therefore, it is critical to keep the feeding accuracy to a specified level in the assembly and production of tape feeders. This paper describes a tape feeder inspection system that was developed to automatically measure and to inspect feeding accuracy using machine vision. It consists of a feeder base, an image acquisition system, and a personal computer. The image acquisition system is composed of CCD cameras with lens, LED illumination systems, and a frame grabber inside the PC. This system loads up to six feeders at a time and inspects them automatically and sequentially. The inspection software was implemented using Visual C++ on Windows with easily usable GUI. Using this system, we can automatically measure and inspect the quality of ail feeders in production process by analyzing the measurement results statistically.

• 제어로봇시스템학회논문지
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• 제19권11호
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• pp.974-978
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• 2013

AVI (Automatic Vision Inspection) systems automatically detect defect features and measure their sizes via camera vision. AVI systems usually report different measurements on the same defect with some variations on position or rotation mainly because different images are provided. This is caused by possible variations from the image acquisition process including optical factors, nonuniform illumination, random noises, and so on. For this reason, conventional area based defect measuring methods have problems of robustness and consistency. In this paper, we propose a new defect size measuring method to overcome this problem, utilizing volume information that is completely ignored in the area based defect measuring method. The results show that our proposed method dramatically improves the robustness and consistency of defect size measurement.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.465-469
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• 2017

본 논문에서는 스마트폰 적용을 위한 휴먼 바디 추적 방법을 제안한다. 기존 휴먼 바디 추적 방법은 크게 센서 기반 방법과 비전 기반 방법으로 구분된다. 센서 기반 방법은 위치 정보의 누적 오차로 인해 추적 성능이 떨어지는 단점이 있다. 비전 기반 방법은 누적 오차가 없지만 스마트폰 적용을 위한 연산량 감소가 요구되고 있다. 본 논문에서는 스마트폰 적용을 위한 휴먼 바디 추적 방법으로 개선된 HOG 알고리즘을 이용한다. 개선된 HOG 알고리즘은 다운샘플링과 프레임 샘플링을 통해 구현된다. 다운샘플링에는 가우시안 피라미드가 적용되고, 프레임 샘플링에는 uniform sampling이 적용된다. 제안한 알고리즘을 2개 기기, 4개 해상도, 4개 프레임에서 측정하였고, 실시간으로 적용이 가능한 다운샘플링과 프레임 샘플링 파라미터 중에서 가장 검출률이 좋은 값을 도출하였다.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.135-139
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• 2016

This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

• 재활간호학회지
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• 제12권2호
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• pp.92-101
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• 2009

Purpose: This study was conducted to explore the functional status and long-term care services for the community-dwelling low-income elderly. Method: A descriptive research design was used in this study. The functional status of the participants was obtained using Minimum Data Set-Home Care Version 2.0 and the long-term care services were identified via Michigan's choice. Total of 154 persons aged 65 years or older completed Korean Minimum Data Set-Home Care Version 2.0 on the community dwelling low-income elderly. Results: The average of Activities of Daily Living was 4.19, and the range was 0-55, while the average of Instrument of Activities of Daily Living was 4.85 and the range was 0-56. Among the subjects, 46.1% belonged to the Information and Referral group and 1.3% to the Nursing Home group. Severe daily pain was reported by 14.9%, and 76.6% of the participants had impaired vision. The Activities of Daily Living was difference according to living with, education, vision, and depression. The long-term care services differed according to gender, pain, vision, hearing, and depression. Conclusion: The support policy for the elderly needed to focus on impaired visual and depression to enhance the activities of daily living. Moreover, there is a need for the Information and Referral group to arrange and develop nursing intervention resources.

• Advances in nano research
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• 제12권2호
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• pp.223-239
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• 2022

Object detection has always been to pursue objects with particular properties or representations and to predict details on objects including the positions, sizes and angle of rotation in the current picture. This was a very important subject of computer vision science. While vision-based object tracking strategies for the analysis of competitive videos have been developed, it is still difficult to accurately identify and position a speedy small ball. In this study, deep learning (DP) network was developed to face these obstacles in the study of tennis motion tracking from a complex perspective to understand the performance of athletes. This research has used CNN-VGG 16 to tracking the tennis ball from broadcasting videos while their images are distorted, thin and often invisible not only to identify the image of the ball from a single frame, but also to learn patterns from consecutive frames, then VGG 16 takes images with 640 to 360 sizes to locate the ball and obtain high accuracy in public videos. VGG 16 tests 99.6%, 96.63%, and 99.5%, respectively, of accuracy. In order to avoid overfitting, 9 additional videos and a subset of the previous dataset are partly labelled for the 10-fold cross-validation. The results show that CNN-VGG 16 outperforms the standard approach by a wide margin and provides excellent ball tracking performance.

• 경영정보학연구
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• 제6권2호
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• pp.25-45
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• 2004

정보시스템은 조직의 경영효율 향상을 위해 도입되고 있으나 현실적으로는 사용자 및 이해관계자들 사이에서 많은 저항이 발생하며 이를 극복하고 성공적인 도입을 위해서는 변화관리가 필수적이다. 본 연구에서는 문헌 조사와 전문가 포커스 그룹을 통하여 정보시스템 도입시 저항의 원인들을 두려움, 의심, 부담감, 이기심의 네 가지로 분류하고 이에 따른 변화관리 방안을 역시 문헌조사와 전문가 자문을 통하여 비전, 리더쉽, 커뮤니케이션, 교육훈련, 조직문화의 다섯 가지로 분류한 뒤, 이들 각 요소들간의 관계를 실증적으로 살펴보았다. 전문 컨설턴트들의 인식을 조사한 결과 비전과 리더쉽은 변화관리의 근간으로서 다른 변화관리활동 저변에 영향을 주는 것으로 나타났고, 두려움과 부담감에는 교육훈련, 의심에는 커뮤니케이션, 이기심에는 조직문화적인 방법이 효과적이라고 인식하는 것으로 나타났다.

• 전자공학회논문지SC
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• 제49권1호
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• pp.8-11
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• 2012

자동 결함 검사 시스템 (AVI - Automated Vision Inspection Systems)은 디지털 영상을 통하여 표면의 결함을 자동으로 검출해 주는 시스템이다. 일반적으로 AVI 시스템의 성능은 한도 결함 검출력으로 판별한다. 한도 결함이란 결함 신호가 배경신호와 매우 유사하여 명확히 결함을 검출하기 어렵다. 본 논문에서는 신호대잡음비 (SNR - Signal to Noise Ratio)를 개선할 수 있는 전처리 기법을 제안하였다. 제안된 기법은 인간 시각 시스템 (HVS - Hunman Visual System) 원리를 기반으로 하였으며 이를 RLC (Run Length Code)로 구현하였다. 실험결과 제안된 전처리 기법은 한도 결함 영상에 대해 SNR이 두 배 이상 개선되는 효과를 보였으며 이를 이용하면 AVI 시스템의 검출성능 향상을 기대할 수 있다.

• 한국안광학회지
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• 제14권1호
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• pp.23-29
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• 2009

목적: 안경광학과 재학생의 안경원 창업교육 요구도에 관한 기초 자료를 얻고자 하였다. 방법: 경기도 소재 3개 대학의 안경광학과 재학생 287명을 대상으로 설문을 실시하여 SPSS 통계분석을 하였다. 결과: 대부분의 학생들(94.4%)은 창업교육을 받아 본 경험이 없는 것으로 나타났다. 안경원 창업교육 요구도는 89.9%로 매우 높게 나타났으며 학년에 따른 유의한 차이가 나타났다(p<0.01). 창업교육 희망경로는 학교의 특강형식과 외부특강을 선호하였으며 연령에 따른 유의한 차이가 나타났다(p<0.05). 창업교육 항목의 중요도는 '안경원 장소선정을 위한 자료 및 전략'에서 가장 높게 나타났다. '안경원 장소선정을 위한 자료 및 전략'과 '안경테, 렌즈, 콘택트렌즈 구입정보'의 중요도는 시력교정의 여부(p<0.001, p<0.05)와 안경사친인척 유무(p<0.05, p<0.001)에 따른 유의한 차이가 나타났다. '안경원 고객관리 및 홍보방안'의 중요도는 시력교정의 여부에 따른 유의한 차이가 나타났다(p<0.05). 결론: 경기지역 안경광학과 학생들의 안경원 창업교육 요구도는 매우 높았으며 이들의 요구를 반영한 창업교육이 요구된다.