• Journal of Korean Society on Water Environment
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• v.18 no.3
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• pp.229-235
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• 2002

• Journal of IKEEE
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• v.27 no.1
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• pp.116-121
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• 2023

In this paper, we develop a deep learning structure for a complex microbial incubator that applies deep learning prediction result information. The proposed complex microbial incubator consists of pre-processing of complex microbial data, conversion of complex microbial data structure, design of deep learning network, learning of the designed deep learning network, and GUI development applied to the prototype. In the complex microbial data preprocessing, one-hot encoding is performed on the amount of molasses, nutrients, plant extract, salt, etc. required for microbial culture, and the maximum-minimum normalization method for the pH concentration measured as a result of the culture and the number of microbial cells to preprocess the data. In the complex microbial data structure conversion, the preprocessed data is converted into a graph structure by connecting the water temperature and the number of microbial cells, and then expressed as an adjacency matrix and attribute information to be used as input data for a deep learning network. In deep learning network design, complex microbial data is learned by designing a graph convolutional network specialized for graph structures. The designed deep learning network uses a cosine loss function to proceed with learning in the direction of minimizing the error that occurs during learning. GUI development applied to the prototype shows the target pH concentration (3.8 or less) and the number of cells (10⁸ or more) of complex microorganisms in an order suitable for culturing according to the water temperature selected by the user. In order to evaluate the performance of the proposed microbial incubator, the results of experiments conducted by authorized testing institutes showed that the average pH was 3.7 and the number of cells of complex microorganisms was 1.7 × 10⁸. Therefore, the effectiveness of the deep learning structure for the complex microbial incubator applying the deep learning prediction result information proposed in this paper was proven.

• 보건세계
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• v.54 no.2 s.606
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• pp.40-43
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• 2007

• Korean journal of applied entomology
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• v.49 no.3
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• pp.227-232
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• 2010

Toxicity of seven environment friendly agricultural materials (EFAM), which have been used in the domestic market were evaluated on honeybee (Apis mellifera) and asian multicolored ladybird beetle (Harmonia axyridis). Three EFAMs made from plant extract agents (Wangjoongwang Eco, Bogum Eco and Bestop Eco) and four EFAMs made from microbial utilizing agents (Worldstar Eco, Goodmorning, Bluechip and Cameleon) were investigated as EFAMs. In evaluation of toxicity on honeybee, the $RT_{25}$ values of 3 EFAMs made from plant extract agents ranged from 1 to 3 days. Therefore, honeybee should be released 1-3 days after application of these EFAMs. Meanwhile, the four agricultural materials made from microbial utilizing agents did not show any mortality against honeybee. In evaluating the toxicity to adult and larva ladybird beetles, all seven EFAMs made from plant extract agents and microbial utilizing agents to show any mortality.

• Journal of the Korea Concrete Institute
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• v.21 no.4
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• pp.501-511
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• 2009

This study was conducted to develop self-healing ability of concrete so that inspection could be available even in the event of minute cracks without complex works at any time for more economic concrete structure maintenance and longevity. A completely different method has been carried out in comparison with many of similar researches on self-healing concrete. This is a basic study on the development of self-healing concrete using microbial biomineralization. Compounds were generated except for cells by precipitation reaction of CaC$O_3$ during the microbial metabolism and we examined the use as a binder that hardens the surface of sand using biomineralization that Sporosarcina pasteurii precipitates CaC$O_3$. In result, the formation of new mineral and hardening of sand surface could be verified partly, and it was available for cracks to be repaired by calcite with organic (microorganism) and inorganic (CaC$O_3$) complex structure through the basic experiment a little bit. Therefore the use of biomineralization by this sort of microbial metabolism for concrete structure helps to develop absolute repair-concrete like this concrete with microorganism. The effect of microbial application will be one of the most important research tasks having influence on not only repair for concrete structure but also development of new materials able to reduce environmental problems.

• Research in Plant Disease
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• v.26 no.4
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• pp.202-209
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• 2020

Organic farming is necessary to sustainable agriculture, preserve biodiversity and continued growth the sector in agriculture. In organic farming, reduced usage of chemical agents that adversely affect human health and environment, employing amino acids and oil cake fertilizer, plant extracts, and microbial agents are used to provide safe agricultural products to consumers. To investigation microbiome structure, we proceeded on the pepper plant with difference fertilizers and treatments in organic agriculture for three years. The microbial communities were analyzed by the next generation sequencing approach. Difference soil microbiota communities were discovered base on organic fertilizer agents. Occurrences of virus and anthracnose diseases had a low incidence in conventional farming, whereas bacteria wilt disease had a low incidence in microbial agents treated plots. Microbe agents, which applied in soil, were detected in the microbial community and the funding suggested the applied microbes successfully colonized in the organic farming environment.

• Proceedings of the KSEEG Conference
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• 2005.04a
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• pp.21-25
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• 2005

• Bulletin of Food Technology
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• v.8 no.2
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• pp.20-26
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• 1995

건강한 성인 한사람은 하루에 약 $3\ell$의 물을 외부로부터 섭취하여야 한다고 한다. 이중 약 $1-2\ell$의 물은 음료 즉, 먹는물의 형태로 외부로부터 섭취하게 되는데, 이러한 음료의 형태로 섭취되는 먹는 물이 우리의 건강을 좌우하게 된다는, 물은 많이 마실수록 건강에 좋고, 깨끗한 생수를 마시는 것이 건강의 비결이라는 말을 많이 듣게 된다. 또 환경오염으로 인한 식수의 오염문제가 심각하게 대두되고 있어 많은 사람들은 오염되지 않은 깨끗한 물, 생수 등을 찾고 있는 실정이다. 이러한 한국의 현실에서 1995. 5. 1. 부터 환경부의 "먹는물 관리법"이 새롭게 시행되기 시작하여 지금까지 사용되어오던 "광천음료수"가 "먹는샘물"이라는 용어로 변경이 되고 몇가지 품질규격에 있어 더욱 엄격하게 규제가 되기 시작하였다. 따라서 새롭게 시작되는 "먹는물 관리법"의 "먹는샘물"의 정의와 먹는샘물의 미생물학적인 품질의 설명이 필요하고, 또 "먹는물", "먹는샘물"이 환경쪽에서만 다루어야 할 문제가 아니라 먹는 물은 항상 식품과 함께 취급되기 때문에 식품연구의 일환으로서도 취급되어져야 함을 강조하고자 이글을 쓰게 되었다.

• Journal of Animal Science and Technology
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• v.53 no.5
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• pp.461-467
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• 2011

The objective of this study was to determine the shelf-life effects and residual nitrite contents of mugwort and pine needle extracts addition in emulsified sausage during cold storage. The sausages were of five types: no mugwort and pine needle extracts added (Control), mugwort water extract added (T1), mugwort ethanol extract added (T2), pine needle water extract added (T3), and pine needle ethanol extract added (T4). Each sausage type was tested in triplicate and assigned to one of four storage periods: 0, 10, 20 and 30 days. As storage time increased, the presence of mugwort and pine needle extracts resulted in decreased pH, CIE $L^*$, and residual nitrite value, but increased TBARS (thiobarbituric acid reactive substance) values, and total plate counts (TPC). Values for pH, TBARS, residual nitrite contents and total plate counts were significantly decreased by the addition of mugwort and pine needle extracts compared to the control (P<0.05). Among all treatments, T4 was more (P<0.05) effective in delaying lipid oxidation compared to other treatment groups. In conclusion, this study demonstrates that addition of pine needle ethanol extract to emulsified sausages tended to improve antioxidant and antimicrobial effects and residual nitrite contents during storage than other treatment groups.

• Applied Biological Chemistry
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• v.48 no.3
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• pp.201-206
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• 2005

The development of microbial inoculant was conducted using a by-product of oriental herbal medicine. The constituent of the by-product, which was high in organic matter, was 11.3% of crude protein, 5.1% of crude lipid, 49.7% of NDF (neutral detergent fiber), and 33.8% of ADF (acid detergent fiber). Microorganisms isolated from the by-product of oriental herbal medicine were 35 species. Among them, 6 bacterial species, 4 fungal species, 2 actnomycetes species, and 1 yeast species were effective in the utilization of the by-products. The 13 strains screened were tested for the plant growth-promoting effect in soybean seedling. BL-333 strain was found to increase the soybean yield by about 23% as compared with control. The strain BL-333 was identified as Paenibacillus marcerans. P. marcerans BL-333 showed high anti-fungal activities against virulent fungi, especially Fusarium sp. and Collectotrichum sp. Yields of plants which were inoculated with microbial inoculant prepared with P. marcerans BL-333 and by-product of oriental herbal medicine were found to be higher than control by $3{\sim}24%$. The yield was especially promoted in lettuce, radish, chinese cabbage and cucumber plants.