• The Journal of Bigdata
• /
• v.7 no.1
• /
• pp.63-73
• /
• 2022

COVID-19 has continued from 2020 to the present, and many social changes have occurred. Wearing a mask has become mandatory, and if you do not wear a mask, you cannot use public facilities or restaurants. For this reason, most public facility entrances are equipped with a mask recognition system to check whether a mask is worn. However, it is unclear whether people who cover their mouths with a scarf or who do not wear a mask properly can be identified. In this study, we proposed an embedded mask recognition system using YOLOv5. Unlike the existing mask recognition system, it was able to distinguish not only whether a mask was worn, but also whether a mask was worn in various exceptional situations, such as a person with a scarf or a person covering their mouth with their hands, and showed excellent performance when mounted on the Nvida Jetson Nano Board.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.5
• /
• pp.53-73
• /
• 2023

Although it is mandatory to wear a seat belt that can minimize human injury when traffic accident occurs, the number of traffic accident casualties not wearing seat belts still accounts for a significant proportion.The seat belt wearing detection system for all seats is a system that identifies whether all seat passengers wear a seat belt and encourages their usage, also it can be a useful technical countermeasure. Firstly, this study established the viability of system implementation by assessing the factors influencing the severity of injuries in traffic accidents through the development of an ordered probit model. Analysis results showed that the use of seat belts has statistically significant effects on the severity of traffic accidents, reducing the probability of death or serious injury by 0.054 times in the event of a traffic accident. Secondly, a meta-analysis was conducted based on prior research related to seat belts and injuries in traffic accidents to estimate the expected reduction in accident severity upon the implementation of the system.The analysis of the effect of accident severity reduction revealed that wearing seat belts would lead to a 63.3% decrease in fatal accidents, with the front seats showing a reduction of 75.7% and the rear seats showing a reduction of 58.1% in fatal accidents. Lastly, Using the results of the meta-analysis and traffic accident statistics, the expected decrease in the number of traffic accident casualties with the implementation of the system was derived to analyze the traffic safety effects of the proposed detection system. The analysis demonstrated that with an increase in the adoption rate of the system, the number of casualties in accidents where seat belts were not worn decreased. Specifically, at a system adoption rate of 60%, it is anticipated that the number of fatalities would decrease by more than three times compared to the current scenario. Based on the analysis results, operational strategies for the system were proposed to increase seat belt usage rates and reduce accident severity.

• Proceedings of the Costume Culture Conference
• /
• 2004.04a
• /
• pp.133-136
• /
• 2004

과거 산업화 이후 남성중심의 사회에서는 남성들에게 남성다움과 강인한 가부장적 모습을 요구하였으며 이는 의복을 통해 보수적이고 엄격한 태도와 함께 강건한 외형의 스타일로 나타났다. 그러나 산업화 정보화와 함께 여러 가지 사회 문화적 환경 요인은 이러한 사회구조와 남성 패션에도 커다란 변화를 주었으며, 과거 고대부터 산업화 전까지도 그들이 입었던 스커트에 대한 착용을 열망하는 남성들이 등장하고 있다. (중략)

• Proceedings of the Safety Management and Science Conference
• /
• 2013.11a
• /
• pp.449-456
• /
• 2013

• The Journal of the Korea Contents Association
• /
• v.11 no.3
• /
• pp.477-486
• /
• 2011

In this paper, I had tried to analyze the relationship between the time assigned for computer usage and weakening eyesight. First of all, students classified by gender, school year, eyesight, and wearing glasses along demographic characters took part in a poll, and The questionnaire included questions about computer time, factors of weakening eyesight, and purpose of computer use. The finding in this analysis composed of a cross-tabulations between annual eyesight change and the factors to change their eyesight is that 63.6 % of 165 students participated in this survey weakened their eyesight within a year. To show a correlation between computer usage duration and worsening eyesight in this paper, regression analysis indicated weakened vision by computer usage duration per day and week instead of a year. In addition, according to the analysis between computer usage duration and weakened vision for the people who wear glasses or not trough Independent-Samples T test, weakened vision was shown in computer usage duration per day and week, but not shown in the duration by the year. Therefore, weakening vision was also worse for the people who didn't wear glasses than the others. This study indicated 24..5% of teenagers had poor eyesight by using their computer. According to the frequency analysis on purposes of computer usage, the biggest purpose accounting for 36.4% of the total was the computer usage as a game consol, and the computer as a learning tool was the next biggest purpose at 32.1%. This paper showed the correlation between computer usage time and a factor of weakened eyesight through an analysis of the factor. Therefore, schoolchildren's parents should be more interested in their computer usage.

• Proceedings of the KAIS Fall Conference
• /
• 2009.05a
• /
• pp.231-235
• /
• 2009

본 연구는 일개 시 유치원에 입소한 아동 중 5~6세아 부모들을 대상으로 카시트 착용현황과 관련요인에 관한 실태를 파악하여 어린이 안전의식을 위한 기초자료를 제공하기 위한 연구이다. 연구대상은 2008년 09월22~09월29일까지 일개 시 유치원 5개소 입소한 아동 중 5~6세아 부모 189명을 대상으로 구조화된 설문지를 이용하였다. 연구결과 유아 연령이 낮고(p=0.128), 남자이며(p=0.474), 어머니의 연령이 30대 이하(p=0.294)일수록 유아 보호용 장구의 착용률이 높은 것으로 나타났으며, 어머니의 학력이 고등학교 이하(p=0.009), 아버지 직업(p=0.010)이 사무, 서비스직에 종사자 집단에서 유아보호용 장구 착용이 유의하게 나타났다. 또한 유아 보호용 장구 무상 대여사업에 대한 인지율 조사에서 월 평균 소득 300만원 미만(p=0.009)인 자에게서 유의하게 나타났으며, 유아 보호장구 장착에 영향을 미치는 요인으로는 카시트 관련교육 유무와 부 직업에 따라 유의하게 나타났다.

• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.175-182
• /
• 2019

We classify topics on fall incidents occurring in construction sites using topic modeling among machine learning techniques and analyze the causes of the accidents according to each topic. In order to apply topic modeling based on latent dirichlet allocation, text data was preprocessed and evaluated with Perplexity score to improve the reliability of the model. The most common falling accidents happened to the daily workers belonging to small construction site. Most of the causes were not operated properly due to lack of safety equipment, inadequacy of arrangement and wearing, and low performance of safety equipment. In order to prevent and reduce the falling accidents, it is important to educate the daily workers of small construction site, arrange the workplace, and check the wearing of personal safety equipment and device.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.2
• /
• pp.193-198
• /
• 2022

Recently, place that you need to check wearing mask and body temperature to prevent the proliferation of COVID-19 increased. But these things often measured by man manually or by machine one by one, result may be different by measuring ways, so it wastes workforce. Also, the machine generally just measures the highest temperature of the face, criteria for fever can't be trusted too. A bottleneck may occur due to crowding of people at the entrance, and because most of the measurement sites are at one entrance, it is inconvenient to track the movement of COVID-19 Confirmed cases. Thus, in this study, we intend to propose a method for suppressing the spread of infection by automatically classifying and displaying in real time using camera, thermal camera, Haar Cascade, and result selection algorithm.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.01a
• /
• pp.323-324
• /
• 2022

본 논문에서는 사람의 개입 없이 실내 환경에서 마스크 미 착용자를 스스로 발견한 후 방역수칙위반 사실에 대한 경고와 함께 마스크 착용을 권고하는 인공지능 기반의 자율주행 서비스 로봇을 개발한다. 제안한 시스템에서 로봇은 동시적 위치 추적 지도 작성 기법인 SLAM(Simultaneous Localization and Mapping)기술을 이용하여 지도를 작성한 후 사용자가 제공한 웨이포인트(Waypoint)를 기반으로 자율주행한다. 또한, YOLO(You Only Look Once) 알고리즘을 이용한 실시간 객체 인식 기술을 활용하여 보행자의 마스크 착용 여부를 판단한다. 실험을 통해 사전에 작성된 지도에 지정된 웨이포인트를 따라 로봇이 자율주행하는 것을 확인하였다. 또한, 충전소로 이동할 경우, 영상 처리 기법을 활용하여 충전소에 부착된 표식에 근접하도록 이동하여 충전이 진행됨을 확인하였다.

• The Korean Society of Law and Medicine
• /
• v.24 no.1
• /
• pp.67-98
• /
• 2023

In the early stages of the COVID-19 pandemic, Korea took the lead in implementing "social distancing" policies more strongly than other countries. In addition to making it mandatory to wear a mask according to the policy, all patients using medical institutions are tested for COVID-19 to prevent Healthcare-Associated Infections, and only those patients who test negative have been regulated to receive face-to-face medical treatment. In this process, situations such as the disabled, who have difficulty wearing masks, were not taken into account, and emergency patients did not receive timely treatment or surgery from medical personnel. In response, the National Human Rights Commission of Korea has decided that forcing everyone to wear a mask and restricting access to medical institutions constitutes discrimination against the disabled. Therefore, the purposes this study has that, the first is to review cases of human rights discrimination against persons with disabilities due to measures to prevent the transmission of infectious diseases that did not consider the characteristics of persons with disabilities in the COVID-19 situation and issues regarding the decisions of the National Human Rights Commission of Korea, the second is to find a reasonable plan and the need for measures to prevent refusal of treatment by medical institutions for the disabled who have difficulty wearing masks.