• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.137-143
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• 2020

Traffic-related environmental factors (TREF) are a major problem in developed countries, leading to increased atopic sensitivity, allergy symptoms, and diseases. This study shows an association between traffic-related pollutants, distance of road and gas station from the children's daycare center, and allergy symptoms. Data was obtained from the 2018 survey, an ongoing allergic diseases prevalence survey for children aged 4-7 (n=1175). This survey considered 36 public daycare centers, across 6 districts in Seoul. Allergic symptoms were defined as the presence of at least 1 or more allergic diseases (International Study of Asthma and Allergies in Childhood (ISAAC)). TREF was derived from the distance to the nearest main roads and gas stations. Geographic data processing and variable computation were conducted using ArcGIS version 10.2. The odds ratios for allergy symptoms increased by 1.189 (1.235-2.679) times with decreasing distance to main roads and by 1.846 (1.176-2.896) times with decreasing distance to a gas station. This study concludes that main roads and gas-stations near children's daycare centers are related to the allergy symptoms in children.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.300-306
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• 2022

Currently, Korea is building traffic infrastructure using Intelligent Transport Systems (ITS), but the pedestrian traffic accident rate is very high. The purpose of this paper is to prevent the risk of traffic accidents by jaywalking pedestrians. The development of this study aims to detect pedestrians who trespass using the public data set provided by the Artificial Intelligence Hub (AIHub). The data set uses training data: 673,150 pieces and validation data: 131,385 pieces, and the types include snow, rain, fog, etc., and there is a total of 7 types including passenger cars, small buses, large buses, trucks, large trailers, motorcycles, and pedestrians. has a class format of Learning is carried out using YOLOv5 as an implementation model, and as an object detection and edge detection method of an input image, a canny edge model is applied to classify and visualize human objects within the detected road boundary range. In this study, it was designed and implemented to detect pedestrians using the deep learning-based YOLOv5 model. As the final result, the mAP 0.5 showed a real-time detection rate of 61% and 114.9 fps at 338 epochs using the YOLOv5 model.

• Korean Journal of Culture and Social Issue
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• v.12 no.3
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• pp.23-47
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• 2006

The purpose of this research is to study the relation between the change of driver's driving confidence level in the age categories and driving behavior. To survey the driving confidence level, we used the 'Driving Confidence Scale' questionnaire and surveyed the drive career, mileage, driving days, violation of traffic regulation (drunk driving, overspeed), traffic accident experience (assaulter, sufferer) together. The subjects of investigation were from 19-year-old to 80-year-old and 1,055 persons were participated in the research totally. To examinethe structure of driving confidence level, we executed the factor analysis. We compared the driving confidence level in the age categories (under 29-year-old, 30~39, 40~49, 50~64, over 65-year-old) and studied the relation between driving confidence level and driving behavior. Driving confidence level was composed of 4 factors such as 'insensibility to situation', 'unsafe driving', 'careless concentration' and 'self-efficacy of driving', and there was decreasing tendency for driving confidence level and overall driving behavior according to increasing age. Driving confidence level had the interrelation with age range, assaulting accident, suffered accident, driving period, drunk driving, overspeed, driving career and so on. We examined the difference of driving confidence level and driving behavior by dividing the participated drivers' groups into the traffic accident experienced group, drunk driving group and overspeed driving group, and there was a significant difference on driving confidence level and driving behavior between the group who had not experienced the violation of traffic regulation or traffic accident and another group who had experienced the violation of traffic regulation or traffic accident.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.305-306
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• 2016

최근에 게임 플레이어들을 노리는 악성코드가 발견돼 사용자들의 주의가 필요하다. 게임 플레이어를 노리는 악성코드는 이전부터 존재해왔지만 이번에 발견된 악성코드는 게임 콘텐츠로 위장한 사례로, 직.간접적으로 게임을 즐기는 불특정 다수를 대상으로 하고 있다. 본 논문에서는 게임 콘텐츠를 위장하여 악성코드를 이용한 사이버 공격에 대한 사전 차단을 위하여 악성코드 탐지엔진에서 수집된 트래픽 정보로부터 악성링크를 판단할 수 있는 실시간 악성링크 탐지 기능을 제안한다.

• Transportation Technology and Policy
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• v.10 no.4
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• pp.48-53
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• 2013

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.711-718
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• 2013

Traffic pavement markings are one of primary transportation facilities that provide drivers with various road information directly. Thus, a clear understanding of traffic pavement markings is utmost important to improve traffic safety as well as to establish a proper traffic culture. However, no past studies examined drivers' understanding of traffic pavement markings in Korea. Hence, this study investigated drivers' understanding of traffic pavement markings through an elaborated administrated survey, and analyzed the relationship between various drivers' characteristics and understanding regarding pavement marking via cross-classification table and logistic model. The analysis results show that drivers have limited understanding regarding the purpose of the markings. Specifically, the average understanding of pavement markings is 57.41%: the lowest understanding is 25.88% for yield pavement marking, and the highest understanding is 91.18% for advanced pedestrian crosswalk pavement marking. This study also revealed that the understanding of some pavement markings are somewhat influenced by user group such as drivers with suspended or revoked driver licenses, but the overall understanding of pavement markings are not significantly affected by drivers' characteristics such as gender and driving experiences at ${\alpha}$=0.05. Thus, it might be desirable for policy makers to establish pavement marking-related policies for overall drivers rather than specific drivers.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.139-147
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• 2020

The number of deaths from child traffic accidents in Korea is currently higher than the average figure of OECD members, and attention needs to be paid to reduce the school zone accident rate. According to the TAAS statistics of the Traffic Accident Analysis System, the number of deaths from traffic accidents in children (under 12 years of age) in Korea has been steadily decreasing recently, but the number of accidents and injuries has been continuously increasing and decreasing. With the number of accidents and injuries of children in Korea continuing to increase and decrease, the number of traffic accidents, deaths, and injuries of children in the school zone (under 12 years of age) has also been on the rise since 2019. Therefore, we were different from the preceding study (Study on Improvement through School Zone Accident Risk Survey, Study on Improvement of Children's Traffic Safety Facilities through Simulation Program). In order to prevent traffic accidents among school zones, which have the highest accident rate among children, a survey was conducted on traffic safety facilities and safety awareness of drivers. After that, we will analyze the problems and present measures for improving traffic safety in the school zone and improving drivers' safety awareness.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.17-40
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• 2002

The purpose of this study is to investigate the differences in the traffic environments and driving behaviors in 5 regions of Korea. Data were collected through the survey research from 1387 passenger car drivers in 14 locations in Korea. The main findings of this research are as followings: First of all, There were significant differences in traffic environment factors(road topography, construction, road & safety facilities, pedestrian behaviors, surrounding drivers) among 5 regional areas. When we examined drivers factors, there were significant differences among 5 metropolitan areas on wearing seat belt, most of constructions related to drink driving, speed-limit violation. There were many differences in driving habits, intentions, behaviors including wearing seat belt, driving after drinking according to metropolitan area, and also in case of speed-limit violation and careless driving behavior. These results suggested that there are many differences in traffic environments and driver's behaviors among regional areas. These result suggests that traffic safety policy and practice should be prepared based upon the peculiarities of regional area. We discussed these resulte in terms of the regional traffic policy and the suggestions for future studies were added.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.173-179
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• 2005

The continuous development of computing technique and network technology bring the explosive growth of the Internet, it accomplished the role which is import changes the base facility in the social whole and public infra, industrial infrastructure, culture on society-wide to Internet based environment. Recently the rapid development of information and technology environment is quick repeated the growth and a development which is really unexampled in the history but it has a be latent vulnerability, Therefore the damage from this vulnerability like worm, hacking increases continually. In this paper, in order to resolve this problem, implement the analysis system for harmful traffic for defending new types of attack and analyzing the traffic takes a real-time action against intrusion and harmful information packet.

• Journal of Aerospace System Engineering
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• v.2 no.3
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• pp.7-11
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• 2008

This is a study to research the effective way to enhance the performance of safety management by gathering and analyzing the information of undesirable occurrences that may result in accident or serious incident. This includes the way to identify the potential hazards related with the proactive activities. As detailed improvements, this paper introduces the mandatory and voluntary reporting system, normal operation safety survey, ATC quality assurance and the encouragement of just culture.