• 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.

• The Korean Journal of Mycology
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• v.15 no.2
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• pp.92-98
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• 1987

Twelve species of fungi were isolated from rice straw media for oyster mushroom cultivation. Trichoderma, Aspergillus and Rhizopus were the predominant fungi. Seven species of Trichoderma were isolated and identified from the rice straw media and the order of their frequency in the media was pseudokonigii, aureoviride, viride, harzianum and koningii. Occurrence of harmful fungi in mushroom houses become more severe as the number of cultivation times increased, and that was more severe in spring culture than in autumn culture. Mycelial growth and sporulation of Trichoderma, Aspergillus and Rhizopus were fovorable on the media appended with extracts of rice straws and oyster mushrooms. This results indicate that the rice straw media and mushrooms give favorable conditions for the occurrence of the fungi in the mushroom houses. Mycelial growth of Trichoderma spp. was favorable on saw­dust extraction media and rice bran extraction media, and the spawns inoculated at the mushroom beds present media of the fungi.

• Korean Journal of Food Science and Technology
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• v.33 no.1
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• pp.142-145
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• 2001

The objective of this study was to evaluate the in vivo effect of Lentinus edodes on the harmful enzymes of mouse intestinal bacteria. When mouse intestinal microflora were cultured in the anaerobic media containing Lentinus edodes water extract or trehalose (LD) isolated From its extract, final pH of the cultured media was significantly decreased and the activities of harmful enzymes, particulary ${\beta}-glucuronidase$ and tryptophanase, were significantly inhibited. By orally administering Lentinus edodes water extract or LD, mouse fecal ${\beta}-glucuronidase$ and tryptophanase were also signifcantly inhibited.

• Smart Media Journal
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• v.7 no.2
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• pp.34-39
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• 2018

There are many studies on red tide due to the continuous increase in damage to domestic fish and shell farms by the harmful red tide. However, there is insufficient domestic research of identifying harmful red tide algae that automatically recognizes red tide images. In this paper, we propose a red tide image classification method using deep learning based open source. To solve the problem of recognition of various images of red tide algae, the proposed method is implemented by using tensorflow framework and Google image classification model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5834-5840
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• 2013

Along with the development of high-speed, wired and wireless Internet technology, various harmful images in a form of photos and video clips have become prevalent these days. In this paper, we suggest a method of automatically detecting adult images by extracting woman's nipple areas which represent obscenity of the image. The suggested algorithm first segments skin color areas in the $YC_bC_r$ color space from input images and extracts nipple's candidate areas from the segmented skin areas through the suggested nipple map. We then select real nipple areas by using geometrical information and determines input images as harmful images if they contain nipples. Experimental results show that the suggested nipple map-based method effectively detects adult images.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1072-1075
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• 2017

최근 국내 제품 성분의 안전과 관련된 사건들이 발생하여 국민들 사이에 많은 불안감을 불러일으켰다. 안전 정보의 분산과 용어의 어려움으로 쉽게 유해성을 확인하기 힘든 실정이다. 본 논문에서는 실시간 데이터베이스와 데이터 바인딩 기술을 이용한 유해성분 탐지 서비스 시스템의 연구 개발을 보고한다. 개발 시스템은 이미지 및 바코드를 통해 정보 검색하기 쉽고 빠르게 유해성분을 탐지하여 빠른 속도로 출력할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.403-409
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• 2016

Recently, harmful content (such as images and photos of nudes) has been widely distributed. Therefore, there have been various studies to detect and filter out such harmful image content. In this paper, we propose a new method using Haar-like features and an AdaBoost algorithm for robustly extracting navel areas in a color image. The suggested algorithm first detects the human nipples through color information, and obtains candidate navel areas with positional information from the extracted nipple areas. The method then selects real navel regions based on filtering using Haar-like features and an AdaBoost algorithm. Experimental results show that the suggested algorithm detects navel areas in color images 1.6 percent more robustly than an existing method. We expect that the suggested navel detection algorithm will be usefully utilized in many application areas related to 2D or 3D harmful content detection and filtering.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6708-6714
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• 2015

Various types of multimedia contents have been widely spread and distributed with the Internet that is easy to use. Meanwhile, Multimedia contents can bright a social problem because juveniles can access such harmful contents easily through the Internet. This paper proposes a method to determine if an input image is harmful or not, using an neural network. The proposed method first detects a face region from an input image through MCT features. The method then extracts skin color regions using color features and obtains candidate nipple areas from the extracted skin regions. Subsequently, we determine if the input image is harmful, by filtering out non-nipple regions using the artificial neural network. Experimental results show that the proposed method can effectively determine the harmfulness of input images.

• Journal of The Korean Society of Grassland and Forage Science
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• v.15 no.3
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• pp.186-191
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• 1995

This study was conducted to evaluate the effect of herbicides on weed control, growth characteristics and yield in rapes, after direct seeding it to the field. All herbicides treated had no effect on the emergence period, bolting rate of rapes. The major weeds were Cerastium holosteoides var. hallaisanense, Stellaria media Villars, Larnium ampleicaule L., Lobelia chinensis Lour., Geranium wilfordii Maxim. and Capsellu bursa-pastoris (L.) Medicus. Rapes yield were increased somewhat more with alachlor-G, herbicide than the other hehicides and by hand weeding. Alachlor-G and alachlor-Ec were had no i j u r y but butachlor- G and simajin-Wp were slightly harmful for the rapes with recommended concentration. On the other hand all hehicides were harmful in the double dosage level.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.223-226
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• 2009

유해 영상 검출은 유해 동영상을 내용 기반으로 검색하고 차단하기 위한 방법의 하나로써, 유해 동영상 추적 시스템의 전체 성능을 좌우하는 중요한 기술이다. 기존의 유해 영상 검출은 웹 사이트 내에 음란 콘텐츠를 추출함으로 유해 사이트를 차단하는데 사용되었으며, 주로 RGB 비율, Histogram 등을 이용한 Skin color와 Edge를 추적한 Texture를 기반으로 유해 영상을 검출하였다. 그러나 기존 방식은 UCC 유해 동영상과 같이 저화질 영상에서의 유해 여부를 판단하기에는 정확성이 낮다. 따라서 본 논문에서는 영상 크기에 따른 고/저화질 분류를 이용하여 동영상에서 보다 효과적인 유해 영상 검출할 수 있는 방법을 제안한다. 제안 방법의 성능을 확인하기 위해 고/저화질 분류 사용의 유/무에 따른 검출 실험을 하였으며, 그 결과 분류를 방법이 기존 방법보다 12%의 성능이 향상됨을 알 수 있었다.