• THE HEALTH and ORGANIC FARMING
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• no.219
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• pp.11.1-11.1
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• 2005

고교생 친환경농업 글짓기 작품 공모전 - 친환경인증신청, 전남도 9월 현재 11.908ha로 급증 - 화천군, 친환경농업대학 1기생 모집 - 전남도, 친환경농업육성 조례 제정

• 대학교육
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• s.129
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• pp.50-55
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• 2004

• 대학교육
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• s.66
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• pp.54-59
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• 1993

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.2
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• pp.111-116
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• 2019

The biotic stress of garlic and tobacco infected by bacteria and virus was evaluated using a thermal imaging camera in a growth chamber. The remote sensing technique using the thermal camera detected that garlic leaf temperature increased when the leaves were infected by bacterial soft rot of garlic. Furthermore, the temperature of leaf was relatively high for the leaves where the colony-forming unit per mL was large. Such temperature patterns were detected for tobacco leaves infected by Cucumber Mosaic Virus using thermal images. In addition, the crop water stress index (CWSI) calculated from leaf temperature also increased for the leaves infected by the virus. The event such that CWSI increased by the infection of the virus occurred before visual disease symptom appeared. Our results suggest that the thermal imaging camera would be useful for the development of crop remote sensing technique, which can be applied to a smart farm.

• The Science & Technology
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• v.33 no.6 s.373
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• pp.76-78
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• 2000

많은 호르몬의 작용중 동ㆍ식물의 생식과 관련된 호르몬의 작용을 규명하고 호르몬의 응용방법을 개발 연구하는 '전남대 호르몬연구센터'는 생식내분비, 분자내분비, 응용내분비 등 3개 연구부를 두고 왕성한 연구활동을 펴오고 있다. 현재 4명의 연구교수와 국내 각 대학교수 25명 그리고 박사후 연구원과 대학원생 등 모두 1백여명의 연구진으로 구성된 이 연구센터는 매년 국제생식내분비학 심포지엄과 2회의 국내 심포지엄을 개최하고 있다.

• FLOWER RESEARCH JOURNAL
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• v.16 no.1
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• pp.28-35
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• 2008

Eleven accessions of Hedera helix, three accessions of Hedera rhombea, one accession of Fatshedera lizei, and one accession of Fatsia japonica were collected and their genetic diversity was measured by using 10 RAPD primers. Approximately ninety seven percentage of polymorphism was detected, because broad germplasm, three genus, was used. Total 97 bands were scored and a dendrogram was constructed by using an UPGMA method. Accessions belonging to Hedera helix tightly clustered in one group: eight accessions showed extremely narrow genetic differences and the other three accessions also showed significant similarity. Despite of their genetic similarity, they showed morphological variations. The morphological variation with a narrow genetic differences indicated that the ivy cultivars have been indeed developed from a mutation breeding program. Genetically most unrelated Fatsia japonica showed a genetic distance of 0.63 on the average between other species. An accession from Fatshedera lizei developed by crossing between two genus, Hedera helix and Fatsia japonica, was allocated together with accessions from Hedera rhombea.

• Korean journal of applied entomology
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• v.58 no.3
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• pp.219-224
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• 2019

The super mealworm, Zophobas morio, is mainly used as food for pets, fish, reptiles, amphibians, birds, and as snacks. An experiment was conducted to investigate the effects of temperature, supplementary feeding, and spawning interval on super mealworm rearing. To efficiently rear this species, the insects were bred at a temperature of $27^{\circ}C$ or higher and reached a weight of over 0.6 g at 80 days after hatching. Supplementary feed (with high protein content: 10% of soybean meal and 10% of fish meal) enabled larvae to reach a weight of over 0.7 g at 80 days after hatching. Mass rearing of super mealworm requires increase in egg production (i.e., high yield) and uniformity of larvae. Adults were transferred to spawning bases every 5, 10, or 15 days (three treatments), which resulted in a total of 7,256, 5,439, 2,060 hatched larvae, respectively. It is possible to obtain more than 7,000 larvae by transferring the egg-laying frame to the spawning base at intervals of 5 days and with nine spawning operations; this procedure generates larvae weighing over 0.68 g each.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.180-188
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• 2010

Hanryu phenomenon, referring to the fad for "all things South Korean" from the late 1990s, gave us an opportunities to realize the value of contents and the potential in business. As the government established promotion center to boost the contents industry, the number of departments on contents in colleges increased rapidly despite short history. This time provided a great background for the development of contents industry and training students. Specifically, the training courses in colleges for the students who major in contents has been the solid foundation of the excellent results in contents industries such as game, drama, film, animation and character. As the development and production of contents have been proceeded mostly in Seoul metropolitan area. If local promotion centers and colleges cooperate with each other for training students in this field, a successful business model will be established in local community with the help of local government and businesses. The objective of this study is to make an investigation into the promotion centers and the colleges that have departments on contents in Gyeongsangnamdo and Jeollanamdo, far from Seoul metropolitan area. This study may help to make suggestions for the next study through the investigation of promotion centers and colleges related to "Contents" in Gyeongsangnamdo and Jeollanamdo including cities under the direct control of the government.

• Monthly Duck's Village
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• s.95
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• pp.80-84
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• 2011

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.25-34
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• 2022

With the development of online services, the ripple effect of negative comments is increasing, and the damage of cyber violence is rising. Various methods such as filtering based on forbidden words and reporting systems prevent this, but it is challenging to eradicate negative comments. Therefore, this study aimed to increase the accuracy of the classification of negative comments using deep learning and blur the parts corresponding to profanity. Two different conditional training helped decide the number of deep learning layers and filters. The accuracy of 88% confirmed with 90% of the dataset for training and 10% for tests. In addition, Grad-CAM enabled us to find and blur the location of swear words in negative comments. Although the accuracy of classifying comments based on simple forbidden words was 56%, it was found that blurring negative comments through the deep learning model was more effective.