• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.1
• /
• pp.63-70
• /
• 2023

Due to the spread of high-definition black boxes and the introduction of mobile applications such as 'Smart Citizens Report' and 'Safety Report', the number of public interest reports for violations of Traffic Law has increased rapidly, resulting in shortage of police personnel to handle them. In this paper, we describe the development of a system that can automatically detect lane violations which account for the largest proportion of public interest reporting videos for violations of traffic laws, using deep learning algorithms. In this study, a method for recognizing a vehicle and a solid line object using a YOLO model and a Lanenet model, a method for tracking an object individually using a deep sort algorithm, and a method for detecting lane change violations by recognizing the overlapping range of a vehicle object's bounding box and a solid line object are described. Using this system, it is expected that the shortage of police personnel in charge will be resolved.

• Journal of Digital Convergence
• /
• v.20 no.3
• /
• pp.1-8
• /
• 2022

Despite increasing damages caused by violations of COVID-19 precautions, studies on violations of precautions have not yet received much attention. This study identified antecedents that could theoretically influence the intention to violate COVID-19 precautions based on the black swan theory, and collected 215 responses by conducting an online survey from February 11, 2021 to March 10, 2021. As a result of the regression analysis, this study found that dissonance with COVID-19 preventive information, representativeness bias, and availability bias increase the intention to violate COVID-19 precautions. However, optimistic bias did not have a significant effect on the intention to violate precautions. This study not only provides new antecedents but also suggests theoretical evidence for decreasing intention to violate precautions. This study also proposes the necessity to identify differences in violation intention by regions, countries, and theories.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.146-149
• /
• 2022

With internet development, many peoples use their email to exchange documents, register for web services, and much more. Some individuals/organizations (including educational institutions) use their own domain name for email instead of a domain provided by commercial email services. However, suppose the domain used for custom email expires. In that case, other individuals/organizations can reuse the domain, and the new domain owner can send and receive all emails incoming to the domain. It makes us concerned about Privacy violations. Email that new domain owners can look into also contains sensitive emails like password reset notifications, credit card statements, order history, and more. In this research, we would like to describe the privacy violations caused by the expired domain used for email that did not remove all dependencies of email users and propose a solution.

• Korean Journal of Culture and Social Issue
• /
• v.11 no.spc
• /
• pp.117-131
• /
• 2005

The present research integrated various theoretical perspectives of human unlawful behaviors in order to clarify the psychological mechanisms that underly the changes in compliance with and attitude toward law as time goes. Most well-known theories such as classical theory of crime, biosocial and evoluationary theories, and psychological perspectives including psycho-dynamic theory, personality, intellectual/moral development theories, and decision-making were discussed in their unique points in explaining human unlawful behaviors. Finally, social-learning theory and cognitive-dissonance theory has been suggested to explain the psychological mechanism of the phenomena in which people's attitude toward law and compliance with law become weaken through violation experiences of trivial lawful regulations. Especially, the logic of cognitive-dissonance theory (that people committed violation of trivial laws should experience dissonance with their original belief of compliance with law and negative arousal and try to remove the arousal by change their belief along with their behavior) were theoretically convincing to explain the phenomenon and supported by a series of experimental studies. Several practical implications for future constitutional and political activities were discussed in the basis of the cognitive dissonance theory.

• Journal of Auto-vehicle Safety Association
• /
• v.15 no.4
• /
• pp.88-94
• /
• 2023

The seating postures of passengers in the automated driving vehicle are possible in atypical forms such as rear-facing and lying down. It is necessary to improve devices such as airbags and seat belts to protect occupants from injury in accidents of the automated driving vehicle, and collision safety evaluation tests must be newly developed. The purpose of this study is to define representative types of head-on collision accidents to develop collision standards for autonomous vehicles that take into account changes in driving behavior and occupants' postures. 150 frontal collision cases remained by filtering (accident videos, images, AIS 2+, passenger car, etc…) and random sampling from approximately 320,000 accidents claimed by a major insurance company over the past 5 years. The most frequent accident type is a head-on collision between a vehicle going straight and a vehicle turning left from the opposite side, accounting for 54.7% of all accidents, and most of these accidents occur in permissive left turns. The next most common frontal collision is the center-lane violation by drowsy driving and careless driving, accounting for 21.3% of the total. For the two types above, data such as vehicle speed, contact point/area, and PDOF at the moment of impact are obtained through accident reconstruction using PC-Crash. As a result, two types of autonomous vehicle crash safety test scenarios are proposed: (1) a frontal oblique collision test based on the accident types between a straight vehicle and a left-turning vehicle, and (2) a small overlap collision test based on the head-on accidents of center-lane violation.

• Communications for Statistical Applications and Methods
• /
• v.31 no.1
• /
• pp.1-35
• /
• 2024

The assumption of homoscedasticity is one of the most crucial assumptions for many parametric tests used in the biological sciences. The aim of this paper is to compare the empirical probability of type I error and the power of ten parametric and two non-parametric tests for homoscedasticity with simulations under different types of distributions, number of groups, number of samples per group, variance ratio and significance levels, as well as through empirical data from an agricultural experiment. According to the findings of the simulation study, when there is no violation of the assumption of normality and the groups have equal variances and equal number of samples, the Bhandary-Dai, Cochran's C, Hartley's Fmax, Levene (trimmed mean) and Bartlett tests are considered robust. The Levene (absolute and square deviations) tests show a high probability of type I error in a small number of samples, which increases as the number of groups rises. When data groups display a nonnormal distribution, researchers should utilize the Levene (trimmed mean), O'Brien and Brown-Forsythe tests. On the other hand, if the assumption of normality is not violated but diagnostic plots indicate unequal variances between groups, researchers are advised to use the Bartlett, Z-variance, Bhandary-Dai and Levene (trimmed mean) tests. Assessing the tests being considered, the test that stands out as the most well-rounded choice is the Levene's test (trimmed mean), which provides satisfactory type I error control and relatively high power. According to the findings of the study and for the scenarios considered, the two non-parametric tests are not recommended. In conclusion, it is suggested to initially check for normality and consider the number of samples per group before choosing the most appropriate test for homoscedasticity.

• Journal of the Korean Society of Safety
• /
• v.39 no.1
• /
• pp.82-95
• /
• 2024

Analyzing the aftermath of events at domestic nuclear power plants brings in the question: "Why do workers not comply with the prescribed procedures?" The current investigation of nuclear power plant events identifies their reasons considering the factors affecting the workers' behaviors. However, there are some complications to it: in addition to confirming the action such as an error or a violation, there is a limit to identifying the intention of the actor. To overcome this limitation, the study analyzed and examined the reasons for non-compliance identified in nuclear power plant events by Reason's rule-related behavior classification. For behavior analysis, I selected unit behaviors for events that are related to human and organizational factors and occurred at domestic nuclear power plants since 2017, and then I applied the rule-related behavior classification introduced by Reason (2008). This allowed me to identify the intentions by classifying unit behaviors according to quality and compliance with the rules. I also identified the factors that influenced unit behaviors. The analysis showed that most often, non-compliance only pursued personal goals and was based on inadequate risk appraisal. On the other hand, the analysis identified cases where it was caused by such factors as poorly written procedures or human system interfaces. Therefore, the probability of non-compliance can be reduced if these factors are properly addressed. Unlike event investigation techniques that struggle to identify the reasons for employee behavior, this study provides a new interpretation of non-compliance in nuclear power plant events by examining workers' intentions based on the concept of rule-related behavior classification.

• Journal of Korean Society of Transportation
• /
• v.33 no.5
• /
• pp.441-448
• /
• 2015

This study aims to suggest a reasonable signal operation method for right-turn traffic management. It was found that the right-turn vehicle supplementary signal is currently operated without clear regulations or criteria. It was also analyzed that right-turn supplementary signals are used without consistency, there is a risk of traffic accidents due to the discordance between supplementary signals and traffic signals of forward vehicles, there is a lack of basis for prohibition of a right turn when right-turn vehicle's supplementary signal is red and the flashing red signal is used in a different sense from the law. In order to see the effect of the installed right-turn vehicle supplementary signals on traffic signal violation, a field investigation was conducted. As the result, there was a high proportion of signal violation on the approach lane with right-turn supplementary signals and this means that right-turn supplementary signals hardly influenced the reduction in proportion of signal violation during a right turn. Additionally, a survey was carried out to see if there were differences in driver's interpretation of traffic signals depending on the installation of right-turn supplementary signals. As the result of the survey, there were no differences in interpretation of traffic signals depending on the installation of right-turn supplementary signals or the types of right-turn supplementary signals. A right turn when the signal was red did not lead to serious traffic accidents, so it is thought that there should be a careful consideration of a total ban on a right turn when the signal is red, in order to prevent driver's confusion due to the change of the signal system. Unless there is a disturbance to cars and pedestrians after a temporary stop when the signal is red, there is a need to specify that vehicles must stop temporarily in the Road Traffic Act to facilitate a right turn. What this study finally suggested is to use tri-colored arrow signals for right-turn car supplementary signals to convey a signal to a driver clearly.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.14 no.1
• /
• pp.112-122
• /
• 2003

Objectives：Considerable data indicate that diminished serotonergic activity is related to aggressive behavior. In order to understand the biological etiology in conduct disorder, we studied the relationships of plasma serotonin and 5-HIAA levels in conduct disorders to measures of aggression, violation of rules and oppositional defiant behavior. Methods：Subjects were selected from inpatients and outpatients department of the Division of Child and Adolescent Psychiatry of Seoul National University Hospital. 41 conduct disorders(18 childhoodonset type, 23 adolescent-onset type) and 23 normal controls were included in this study. For the assessment of aggression, rule violation and oppositional behavior, parents completed the rating scale for conduct disorder and oppositional behavior based on the DSM-IV diagnostic criteria. Plasma serotonin and 5-HIAA levels were determined by HPLC with electrochemical detection. Results：1) Plasma 5-HT and 5-HIAA levels were not significantly different among childhood-onset conduct disorder, adolescent-onset conduct disorder and normal control subjects. 2) No significant correlations were found between plasma 5-HT levels and aggression or rule violation. 3) Plasma 5-HT levels showed significant positive correlations with oppositional behavior both in childhood-onset conduct disorder and adolescent-onset conduct disorder. 4) Age-related changes were not found in plasma 5-HT and 5-HIAA levles. Conclusion：Our findings do not support the hypothesis that dysregulation of serotonergic function may be associated with aggresson. Instead, our data suggest that serotonergic function is more closely related with oppositional behavior than aggression.

• The Korean Journal of Pesticide Science
• /
• v.15 no.1
• /
• pp.36-47
• /
• 2011

This study was performed to investigate the contaminated status of endocrine disruptor-suspected pesticides in agricultural products distributed in northern Seoul in 20l0. We analyzed 33 kinds of pesticides by multiresidue analysis method in 3,081 samples. Twelve pesticidcs were detected 600 times and violated 22 times from the agricultural products. The highest frequency of detection was procymidone and that of violation was endosulfan. The highest rates of detection divided violation times as diazinon. In agricultural products, 466 samples had pesticide residues and 22 samples violated the maximum residue limits (MRLs). Agricultural products were also classified by type and red pepper powder belonged to the others was the highest detection rate at 70.7%, fruiting vegetables 35.3%, tea leaves 23.6%, stalk and stem vegetables 21.2%, fruits 14.6% and leafy vegetables 11.2%. The rates of violation sample were stalk and stem vegetables 1.1%, leafy vegetables 1.0% and roots and tubers 0.4%. Leek was to be managed primarily because it had the high detection and violation ratio and was detected together several pesticides.