• Tribology and Lubricants
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• v.36 no.3
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• pp.161-167
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• 2020

Petroleum is the most used energy source in Korea with a usage rate of 39.5% among the available 1st energy source. The price of liquid petroleum products in Korea includes a lot of tax such as transportation·environment·energy tax. Thus, illegal production and distribution of liquid petroleum is widespread because of its huge price difference, including its tax-free nature, from that of the normal product. Generally, illegal petroleum product is produced by illegally mixing liquid petroleum with other similar petroleum alternatives. In such case, it is easy to distinguish whether the product is illegal by analyzing its physical properties and typical components. However, if one the components of original petroleum product is added to illegal petroleum, distinguishing between the two petroleum products will be difficult. In this research, we inspect illegally produced gasoline, which is mixed with methyl tertiary butyl ether (MTBE) as an octane booster. This illegal gasoline shows a high octane number and oxygen content. Further, we analyze the different types of green dyes used in illegal gasoline through high performance liquid chromatography (HPLC). We conduct component analyses on the simulated sample obtained from premium gasoline and MTBE. Finally, the illegal gasoline is defined as premium gasoline with 10% MTBE. The findings of this study suggest that illegal petroleum can be identified through an analytic method of components and simulated samples.

• Journal of Fisheries and Marine Sciences Education
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• v.14 no.1
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• pp.57-73
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• 2002

Illegal fishing is often cited as a principal cause of the failure of fisheries management, expecially fishing efforts regulations in traditional fisheries management. Usually, illegal fishing problems are perceived to be equivalent to inadequate enforcement, and policy prescription then follow to strengthen enforcement programs. The purpose of this paper is to analyze the illegal fishing behavior relatively recent emphasis on fishing efforts regulations in traditional fisheries management. The analysis focuses on measuring, explaining and developing the effectiveness way of enforcement strategies responding to imperfectly managed fishing efforts regulations through illegal fishing behavior and avoid enforcement fishing efforts measures. A model of fishermen fishing behavior and profit-maximizing decision making is analyzed to determine optimal fishing at individual fisherman level in response to fishing efforts regulation. The results of economic analysis of the enforcement of illegal fishing in traditional fisheries management results are as follows: First, illegal fishing will occur only if enforcement effort is not so high as to remove the incentive to do so, and if the effectiveness of avoidance is not too great, nor its cost too low. Second, avoidance effort will occur at a level jointly proportional to the extent of illegal activity and of enforcement; for given levels of the latter, the desired avoidance effort increase with its effectiveness and decrease with its cost Third, to improve the effectiveness of enforcement, understanding avoidance behavior appears to be crucial to any efforts. Forth, enforcement and fishermen behavior interact depends strongly on characteristics of avoidance, specifically its cost and effectiveness. When avoidance is neither too cheap nor too effective, the interaction is regular. Fifth, in this case, at low levels of enforcement, fishers respond to increases in enforcement by increasing avoidance, but at higher enforcement levels, it becomes uneconomical to continue to do so, and avoidance decreases with enforcement. Sixth, illegal fishing activity decreases steadily with enforcement, so the fishery manager is able, in theory, to reduce illegal fishing toward zero by increasing enforcement. If, however, avoidance is very inexpensive and/or very efficient/ then the optimal level of avoidance will increase indefinitely with increasing enforcement. Finally, less fishery enforcement is required if fishermen have less incentive to overfish, and fishermen have less incentive to avoid fishery enforcement measures.

• The Korean Journal of Community Living Science
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• v.22 no.4
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• pp.655-668
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• 2011

Although consumer ethical behavior related with illegal copies of digital software has been considered to be an important issue, not many studies have attempted to examine the issue. Firstly, this study attemped to explain the moral judgment and intention to make illegal copies of smart phone applications for college students. Secondly, psychological factors such as moral intensity and perceived risk related to making illegal copies were tested to be significantly different in individual characteristics such as experience of ethical education and past experience of making illegal copies of software, sex, age and household income. Thirdly, the effect of related factors such as psychological factors and individual characteristics was estimated to significantly influence moral judgment and intention to make illegal copies. Two step method(using LIMDEP program) was applied to estimate the model as a structural equation model. According to the results of this study, magnitude of consequences, financial risk and performance risk were found to be significantly different in income groups(less than middle class vs more than middle class). Prosecution risk was found to be significantly different in gender groups(female vs male). In addition, social consensus, financial risk, performance risk and prosecution risk were found to be significantly different in ethical education groups(experience vs no experience). Furthermore, moral judgment for making illegal copies of smart phone applications was found to be significantly influenced by income, ethical education, magnitude of consequences, temporal immediacy and social consensus. And intention to make illegal copies of smart phone applications was found to be significantly influenced by moral judgment, age, financial risk, performance risk and prosecution risk.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.401-411
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• 2022

This study tests a model for the effect of low self-control on cyber crime and its mediating process. Intervening variables include smartphone addiction, social learning and opportunity variables. Analyzing a data from college students in Seoul, it is shown that the effect of low self-control has a significant effect on smartphone addiction. Results also show that smartphone addiction has a positive significant effect on differential association with illegal peers, illegal definition, and illegal opportunity, and in turn cybercrime. In addition, it is found that low self-control has also a direct effect on differential association with illegal peers, illegal definitions, and illegal opportunity without mediating by smartphone addiction. As a result, it is reveal that the effect of low self-control on cybercrime is indirect and its effect is mediated by smartphone addiction, differential association with illegal peers, illegal definitions, and illegal opportunity.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.41 no.5
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• pp.389-398
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• 2008

The regional characteristics of crackdown on illegal fisheries in Korea Waters are investigated using data from the Ministry of Maritime Affairs and Fisheries, local cities and Provincial governments, and the Korea Coast Guard from 1996 to 2006, focusing on the relationship between the crackdown on illegal fisheries, catches within the affected regions, and characteristics of similar crackdown in Chinese fishing vessels. Illegal fisheries in the South Sea were all strongly affected within each region, and a relationship between the crackdown and subsequent catches showed a relatively good correlation in the South Sea. As a monthly variation, a strong correlation appeared during the autumn season, but this strong correlation was not evident during the spring. This paper suggests that a relationship exists between the crackdown on illegal fisheries and subsequent catch rates, suggesting that an intensification of these efforts in the South Sea and the Yellow Sea, and attendant increases in manpower and equipment would result in a significant decrease in illegal fishing by Chinese fishing vessels from year to year.

• Journal of Korean society of Dental Hygiene
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• v.13 no.2
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• pp.211-220
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• 2013

Objectives : This study intended to figure out illegal treatment by unlicensed person in dental area and factors, which were considered as user's position on the basis of the local community investigation of health conditions in chungbuk provinces in 2008. Methods : This study used chi-square test and complex sample design of multi-variate logistic regression analysis to question 12,443 peoples who have experience on illegal dental treatment. Results : Multi-variate logistic regression analysis results showed that factors having related to illegal dental treatment are sex, age, education standards, subjective awareness of oral health condition, drinking experience of lifetime, unmet need of dental treatment, chewing difficulty, use of dentures, experience of scaling and the use of interdental care instrument. Conclusions : As a result of this study, in order to root out illegal dental treatment, we need to expand the breadth of health insurance coverage so that it can reduce the burden of dental expenses. Moreover, we need to set out health service of public oral health to inform the importances of maintaining good oral health and the problems of illegal dental treatment by unlicensed person.

• Journal of Environmental Health Sciences
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• v.1 no.1
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• pp.14-17
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• 1974

A study was carried out to detect of illegal artificial dyes, and to confirm the used rate of illegal dyes in the production process of commercial drops (candy), from Dec. 10, 1972 to Feb. 10, 1973. In this study, it was used thin layer chromatography, the samples were divided into two groups, group A of inscribed trade name and group B of not inscribed trade name. To contrast with group A and group B, 100 samples were randomly collected in the market places, 50 samples from group A and 50 samples from group B. The following conclusions were obtained: 1) used rate of illegal dyes were 2% of group A and 9% of group B. 2) used rate of illegal dyes were 2% of red, 2% of yellow, 1% of violet and 6% of green, not in blue. 3) used rate of illegal dyes 3% of Rhodamine B, 3% of Auramine and 6% of Light green S.F. Yellowish. 4) Out of 20 cases those used mixed dyes, only one case was confirmed as two illegal dyes, and 4 cases were used one illegal dye.

• Journal of Sensor Science and Technology
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• v.31 no.2
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• pp.131-137
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• 2022

Crimes related to illegal cameras are steadily increasing and causing social problems. Owing to the development of camera technology, the miniaturization and high performance of illegal cameras have caused anxiety among many people. This study is for detecting hidden cameras effectively such that they could not be easily detected by human eyes. An image sensor-based module with 940 nm wavelength infrared detection technology was developed, and an image processing algorithm was developed to selectively detect illegal cameras. Based on the Android smartphone environment, image processing technology was applied to an image acquired from an infrared camera, and a detection sensor module that is less sensitive to ambient brightness noise was studied. Experiments and optimization studies were conducted according to the Gaussian blur size, adaptive threshold size, and detection distance. The performance of the infrared image-based illegal camera detection sensor module was excellent. This is expected to contribute to the prevention of crimes related to illegal cameras.

• Information Systems Review
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• v.25 no.4
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• pp.113-130
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• 2023

Due to economic development and increasing gross national income, the number of automobiles continues to rise, leading to a serious issue of illegal parking due to limited road conditions and insufficient parking facilities. Illegal parking causes significant inconvenience and displeasure to people and can even result in accidents and loss of lives. The severity of accidents and their consequences, related to the growing number of vehicles and illegal parking, is escalating, particularly in the metropolitan areas. Consequently, efforts are being made to address this problem as a cause of social issues and come up with measures to reduce illegal parking. In particular, half of the public complaints in the metropolitan area are related to illegal parking, and the highest physical and human damage occurs in Gyeonggi. Thus, this study aims to use machine learning techniques based on data related to illegal parking in Suwon city, Gyeonggi, to categorize regional characteristics and propose effective measures to crack down on illegal parking. Additionally, practical, social, policy, and legal measures to decrease illegal parking in the metropolitan area are suggested. This study has academic significance in that it solved the problem of illegal parking, which is mentioned as one of the social problems that cause traffic congestion, by classifying regional characteristics using K-prototype, a machine learning algorithm. Furthermore, the results of this study contribute to practical and social aspects by providing measures to decrease illegal parking in the metropolitan area.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.99-102
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• 2017

illegal medical advertisement have been on the rise, and false and exaggerated medical advertising are increasing the damage to medical consumers. Therefore it is urgent to take countermeasures about this. Thus, this paper try to analyzes the characteristics of general commercial and other medical advertisements and looks for alternatives that can minimize the damage caused by illegal medical advertisements and institutional weaknesses by analyzing the regulatory trends in medical advertising.