• Korean Journal of Child Studies
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• v.30 no.6
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• pp.125-137
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• 2009

This study reviews facts and trends of harmful environments in the last decade that negatively affected children's development. Younger children have been exposed to harmful media, drugs, facilities, and objects. A matter of chemical substances contaminating in-door air has become quite controversial, recently. In order to provide a better understanding of harmful environments against children, there are great needs for a survey covering all ages based on the clear definition of the term harmful environments, research identifying its causal effects on child development in the context of both parent-child and peer relationships, and a longitudinal study processing its effects in a life-span perspective. It is suggested that by providing parent education and a plenty of cultural facilities as social efforts to create sound family culture, psycho-social and physical environments of children are improved. Furthermore, legal regulations and supervision on harmful environments are needed to be strengthened.

• Korean Journal of Health Education and Promotion
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• v.32 no.5
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• pp.83-92
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• 2015

Objectives: This study was conducted to determine the status of the awareness of "school environmental sanitation and cleanup zone system" and to identify the level of harmful perception by shops. Methods: The survey was conducted using a self-administered questionnaire method online via the homepage of the education ministry's student health information center. A total of 293 schools (126 primary schools, 62 middle schools, and 45 high schools) was selected by using a stratified probability sampling. Results: Some 32.1% of all subjects knew the law of school environmental sanitation and cleanup zone system. The mean of harmful perception was 3.01 (very harmful: 4, harmful: 3, little harmful: 2, no harmful: 1). Regarding the types of high level of harmful perception of shops, adult good shops (3.53), hostess bar (3.52), karaoke bar (3.47), Cigarette vending machines (3.47), Adult only theater (3.47) and Phone sex room (3.37) were high. Singing room (2.29), dance school (2.45), tourist hotel (2.58), comic room (2.59), mini game console (2.66), hotel (2.77), billiard hall (2.81), PC room (2.83) were relatively low in the level of harmful perception. Conclusions: National government-level management and supervision will be necessary to prevent adolescent access to harmful shops.

• Journal of information and communication convergence engineering
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• v.11 no.1
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• pp.62-68
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• 2013

This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.10a
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• pp.204-205
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• 2001

Manful algae, Cochlodinium polykrikoides has damaged to fisheries organisms by making massive blooms mainly in the South Sea during the higher water temperature season since 1995 in Korea. Ecological and hydrodynamic studies of the species offer useful information in understanding its bloom mechanism giving promising data for the modeling and prediction of the blooms. (omitted)

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.83-91
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• 2004

Through this research, it was possible to set up classification system between 'Harmful information site' and 'General site' that badly effect to teenagers emotional health. To intercept those entire harmful information sites, it using contents basis isolating. Instead of using existing methods, it picks most frequent using composed key words and adds all those harmful words' harmfulness degree point by using 'ICEC(Information Communication Ethics Committee)' suggested harmful word classification. To testify harmful information blocking system, to classify the harmful information site, set standard harmfulness degree point as 3.5 by the result of a fore study, after that pick up a hundred of each 'Harmful information site' and 'General site' randomly to classify them through new classification system. By this classification could found this new classification system classified 78% of 'Harmful Site' to "Harmful information site' and 96% of 'General Site' to 'General site'. As a result, successfully confirm validity of this new classification system.

• Journal of Korea Multimedia Society
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• v.12 no.6
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• pp.867-875
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• 2009

More and richer information sources and services are available on the web everyday. However, harmful information, such as adult content, is not appropriate for all users, notably children. Since internet is a worldwide open network, it has a limit to regulate users providing harmful contents through each countrie's national laws or systems. Additionally it is not a desirable way of developing a certain system-specific classification technology for harmful contents, because internet users can contact with them in diverse ways, for example, porn sites, harmful spams, or peer-to-peer networks, etc. Therefore, it is being emphasized to research and develop context-based core technologies for classifying harmful contents. In this paper, we propose an efficient text filter for blocking harmful texts of web documents using context-based technologies and examine which algorithms for feature selection, the process that select content terms, as features, can be useful for text categorization in all content term occurs in documents, are suitable for classifying harmful contents through implementation and experiment.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.231-236
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• 2017

This study analyzes the characteristics of mobile live streaming service, the illegal and harmful information characteristics of mobile live streaming service for the purpose of eradicating illegal and harmful broadcasting, and shows illegal and harmful broadcast on the mobile live streaming service and eradication plan. First, we reviewed the mobile live streaming service, illegal and harmful broadcasts through literature review, and secondly surveyed illegal and harmful broadcasts of mobile live streaming services and their awareness and countermeasures. As a result, it is confirmed that the mobile live streaming service is illegal, harmful broadcasting exposure frequency is high, illegal, and harmful broadcasting exposure is caused by characteristics of real time broadcasting rather than user's. In order to eradicate the illegal and mobile information about the mobile live streaming service, it is necessary to fix the illegal service and harmful broadcasting reporting system, but the government has confirmed the requirements for regulatory measures. From a microscopic point of view, it will be necessary to investigate the illegal use of mobile live streaming services and the eradication of harmful information.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2001.12a
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• pp.123-123
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• 2001

• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.85-92
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• 2009

As World Wide Web is more popularized nowadays, the environment is flooded with the information through the web pages. However, despite such convenience of web, it is also creating many problems due to uncontrolled flood of information. The pornographic, violent and other harmful information freely available to the youth, who must be protected by the society, or other users who lack the power of judgment or self-control is creating serious social problems. To resolve those harmful words, various methods proposed and studied. This paper proposes and implements the protecting system that it protects internet youth user from harmful contents. To classify effective harmful/harmless contents, this system uses two step classification systems that is harmful word filtering and SVM learning based filtering. We achieved result that the average precision of 92.1%.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.683-688
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• 2005

A huge amount of web documents, which are published on the Internet, provide to users not only helpful information but also harmful information such as pornography. In this paper we propose a method to detect the harmful web documents effectively. We first analyze harmful web documents, and extract factors to determine whether a given web document is harmful. Detail criteria are also described to assign a harmfulness score to each factor. Then the harmfulness score of a web document is computed by adding the harmfulness scores of all factors. If the harmfulness score of a web document is greater than a given threshold, the web document is detected as harmful. It is expected that this study could contribute to the protection of users from harmful web documents on the Internet.