• Journal of the Korean Society of School Health
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• v.17 no.2
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• pp.115-126
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• 2004

Purpose: The aim of the study is to provide information about selecting school sites for new schools in congested urban areas and to propose a method to manage harmful environments around primary and secondary schools. Method: Four schools were selected around Gilum New Town and Ilsan City. The problems were identified by counting the businesses classified as harmful and prohibited in a school zone through surveying, collecting reports from relevant sources, and asking questions of authorities in school districts. Results: It was found that many harmful businesses prohibited by the Law of School Health were present in the safe zone of schools in both Ilsan city and Gilum New Town. The school site of Bohyun Elementary School was classified as poor because there was a steep ascent at the entrance and the school was surrounded by a dangerous, steep boundary. We suggested that an education and environment assessment system by completed before the school site was selected. Conclusion: There is a urgent need to improve the approval and permission process of harmful businesses as well as regulatory standards of school site selection in the light of the shortage of land.

• Korean Journal of Agricultural Science
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• v.48 no.4
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• pp.761-770
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• 2021

A study was undertaken to identify variations in the level of awareness, the information collection status, the level of acceptance, and the characteristics of information collection as it pertains to agricultural biotechnology based on information collection in the field of agricultural biotechnology. When examining subjective awareness, objective awareness, and interest in agricultural biotechnology, the results showed that the levels of all three variables were higher in cases where information exploration of agricultural biotechnology had been experienced. Among the participants who have experience in voluntarily collecting information about agricultural biotechnology, helpful information at a rate of 51.6% and harmful information at a rate of 42.0% were acquired, values much higher than the 37% and 30% corresponding rates for participants who had no experience. However, it was also found that harmful information has a significantly greater impact on perceptions of the future. The characteristics of information collection for agricultural biotechnology indicated that those with experience in voluntary information collection particularly preferred the Internet, whereas those without any experience showed little difference with regard to television and/or the internet. According to a survey of participants' interest areas in agricultural biotechnology and their level of information acquisition, "Safety of human bodies" was rated the top interest area at 36.9%, which also had the highest level of information acquisition at 30.0%. In providing and sharing information in the future, this is a direct reference to the priorities and proportions of each field.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6B
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• pp.554-562
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• 2004

This paper proposes on the technical blocking method of Internet harmful pornographic sites which is the most Internet negative-function. At Present, most technical methods based on web sites back-searching or words filtering for blocking the pornographic Internet sites have limitations. For this, this paper proposes the acoustic and image based blocking method for filtering harmful Internet sites. For this, sexual main body parts are extracted by texture analysis and curve fitting. Also acoustic signals are analyzed using pratt tool and auto-correlation function is adopted for matching between prototype signals and test signals. Finally, the effectiveness of this paper is demostrated by several experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.636-639
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• 2002

This article is focused on the research for the system design that isolate noxious data from internet for juveniles Normally, by motivating this software which was designed to isolate noxious data, harmful data was deleted or graded But these normal process contains a lot of complexity, for example, essential continual upgrade, grading mistake, etc. So, to solve these fallacy, word-weighting process, where several harmful words which can be optained in internet site are discriminance and weighted, is utilized by using AC machine. At the result, the isolation rate of harmful site rose up to 90%, which means this process is greatly efficient.

• Journal of Sensor Science and Technology
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• v.17 no.6
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• pp.406-413
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• 2008

We have been implemented simple statistical pattern recognition methods for harmful gases classification using gas sensors array fabricated by MEMS (Micro Electro Mechanical System) technology. The performance of pattern recognition method as a gas classifier is highly dependent on the choice of pre-processing techniques for sensor and sensors array signals and optimal classification algorithms among the various classification techniques. We carried out pre-processing for each sensor's signal as well as sensors array signals to extract features for each gas. We adapted simple statistical pattern recognition algorithms, which were PCA (Principal Component Analysis) for visualization of patterns clustering and MLR (Multi-Linear Regression) for real-time system implementation, to classify harmful gases. Experimental results of adapted pattern recognition methods with pre-processing techniques have been shown good clustering performance and expected easy implementation for real-time sensing system.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.3
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• pp.323-331
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• 2021

With global warming and pollution problems, accurate forecasting of the harmful gases would be an essential alarm in our life. In this paper, we forecast the emission of the five gases(SOx, NO₂, NH₃, H₂S, CH₄) using the time series model of ARIMA, the learning algorithms of Random forest, and LSTM. We find that the gas emission data depends on the short-term memory and behaves like a random walk. As a result, we compare the RMSE, MAE, and MAPE as the measure of the prediction performance under the same conditions given to three models. We find that ARIMA forecasts the gas emissions more precisely than the other two learning-based methods. Besides, the ARIMA model is more suitable for the real-time forecasts of gas emissions because it is faster for modeling than the two learning algorithms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.10
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• pp.1822-1828
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• 2006

A key-frame should be efficiently selected to distinguish bad information from the videos. A previous technique selecting a key-frame mostly consists of the transformation scene-centered. In the case of harmful videos containing the quaility of continuous changes, the technique makes the total rate be reduced by an unnecessary key-frame. This thesis suggests the technique selecting a key-frame, an entry of the distinguishing system by using the quality of changes between the frames. In the experiment of this technique, it was proved that over 90% of the bad information was distinguished by the selected key frame, and also time efficiency was proved by showing 68% of decrement compared to the numbers I-frame. Therefore, This technique makes the system efficient to distinguish bad information, and efficiently can contribute to the distribution of the healthy movie information.

• MALSORI
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• no.63
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• pp.139-151
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• 2007

As the Internet becomes prevalent in our lives, harmful contents, such as phornographic videos, have been increasing on the Internet, which has become a very serious problem. To prevent such an event, there are many filtering systems mainly based on the keyword-or image-based methods. The main purpose of this paper is to devise a system that classifies pornographic videos based on the audio information. We use the mel-cepstrum modulation energy (MCME) which is a modulation energy calculated on the time trajectory of the mel-frequency cepstral coefficients (MFCC) as well as the MFCC as the feature vector. For the classifier, we use the well-known Gaussian mixture model (GMM). The experimental results showed that the proposed system effectively classified 98.3% of pornographic data and 99.8% of non-pornographic data. We expect the proposed method can be applied to the more accurate classification system which uses both video and audio information.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.10
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• pp.1701-1706
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• 2013

Domestic and overseas information with regard to harmful substances are analyzed. From the results, environmental-derived hazard chemicals, which show relatively low recognition, and hazard chemicals that occur unavoidably in food manufacturing process are selected as target harmful substances. Thus, educational leaflet contents were developed based on these substances. To find the effects of education with the above contents, this study surveyed 120 female college students living in Seoul. The purpose of the survey is to analyze the change in recognition, attitude and behavior on hazard chemicals in foods. The survey found that the recognition on harmful substance in foods increased; from 31.5~78.0% before education to 98.8% after education. It also indicates that vague anxiety in which the harmful substances may damage their health decreased by approx. 25.0%; from 77.8% before education to 52.8% after education. For the question of what they would do when government promotes to reduce harmful substances in foods, 12.3% of respondents said that they would actively follow the suggestions and 73.5% of them said that they would do their best before an education. However, 56.1% of them said that they would actively follow the suggestions after the education. It indicates that the ability to recognize harmful substances changed after the education. With regard to consumer behavior, when they knew about the harmful substances in foods, 49.6% of them said that they would select foods after investigating relevant information before the education, while 77.4% of them said that after the education; which is an increase of 27.8%. Further, 45.4% of them said that they would not purchase relevant foods before the education, while 20.9% of them said that after the education; which is a decrease of 24.5%. Therefore, it is considered that vague anxiety of consumers can be eliminated by providing persuasive information on harmful substances. To expand on the communication channel with consumers for food safety, contents development and educational promotion should be enhanced for providing food safety related information.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.207-210
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• 2007

As the Internet is prevalent in our life, harmful contents have been increasing on the Internet, which has become a very serious problem. Among them, pornographic video is harmful as poison to our children. To prevent such an event, there are many filtering systems which are based on the keyword based methods or image based methods. The main purpose of this paper is to devise a system that classifies the pornographic videos based on the audio information. We use Mel-Cepstrum Modulation Energy (MCME) which is modulation energy calculated on the time trajectory of the Mel-Frequency cepstral coefficients (MFCC) and MFCC as the feature vector and Gaussian Mixture Model (GMM) as the classifier. With the experiments, the proposed system classified the 97.5% of pornographic data and 99.5% of non-pornographic data. We expect the proposed method can be used as a component of the more accurate classification system which uses video information and audio information simultaneously.