• Journal of Korean Society of Water and Wastewater
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• v.31 no.6
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• pp.619-628
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• 2017

As the 3D laser scanning technology capable of databaseing large sewage box culverts becomes possible, it is necessary to develop a standardization manual that can clearly distinguish the structural and operational defect types of box culver and analyze the defect data. In this study, we collected and analyzed defects in sewage box culverts of 14,827m in total by selecting three districts in Korea. The major defects were surface damages, and their defect densities were $2.17m^2/m$, $0.27m^2/m$ and $0.10m^2/m$ for aggregate exposure, Steel reinforcement exposure, and Steel reinforcement projecting. In order to support the decision of the box culverment management, it was divided into five grades and each defect code and defect score were allocated. The results of this study are useful for the diagnosis of the sewage box culverts in Korea and it is expected to support a decision making for management.

• ALGAE
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• v.21 no.1
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• pp.1-10
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• 2006

Genomic data is accumulating in public database at an unprecedented rate. Although presently dominated by the sequences of metazoan, plant, parasitic, and picoeukaryotic taxa, both expressed sequence tag (EST) and complete genomes of free-living algae are also slowly appearing. This wealth of information offers the opportunity to clarify many long-standing issues in algal and plant evolution such as the contribution of the plastid endosymbiont to nuclear genome evolution using the tools of comparative genomics and multi-gene phylogenetics. A particularly powerful approach for the automated analysis of genome data from multiple taxa is termed phylogenomics. Phylogenomics is the convergence of genomics science (the study of the function and structure of genes and genomes) and molecular phylogenetics (the study of the hierarchical evolutionary relationships among organisms, their genes and genomes). The use of phylogenetics to drive comparative genome analyses has facilitated the reconstruction of the evolutionary history of genes, gene families, and organisms. Here we survey the available genome data, introduce phylogenomic pipelines, and review some initial results of phylogenomic analyses of algal genome data.

• Plant Resources
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• v.4 no.3
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• pp.153-156
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• 2001

Today information is important for man and total fields. Science field is not exception. Currently information age things of information is only useful for man and total industry. So bioinformation is necessary of biodiversity in broadly wide and detailed information. Among information, bioinformation of biodiversity is important and utilization of living things. Among them, the mushroom(higher fungi) are an important part in ecosystem as a decomposer responsible for recycling materials. Many living things today, however, have endangered by environmental pollution and ecological destruction. The higher fungi also are not exception. Mushroom has been used for food sources, pharmacy and forests resources from ancient times. Among biodiversity, database of mushroom is very necessary for university, institute and industry. This DB contains four items of native mushroom(higher fungi) from Korea. first item contain species, genus, family, order class, ad division according to the classification. Second item contain pharmaceutical purpose, food source, culture, toxic, anti-cancer of the application. Third item contain symbiosis, rotten trees of the ecological resources. Fourth item contain geographical distribution and illustrated literature. Information system is also available using KRISTAL II for searches on the WEB in URL http://ruby. kisti. re. kr/∼mushroom.

• KSBB Journal
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• v.22 no.3
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• pp.139-145
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• 2007

An oriental medicinal database was used from medicinal plants for screening of anticancer agents. The prescription frequency and dosage of medicinal plats in 170 anticancer prescriptions were analyzed. From the total prescription score of each medical plant, it was found that high-scored medicinal plants have been widely studied in the previous research on the cancer treatment. Consequently, dangui, hwangui, banha, bachul, jinpy, insam, bacjakyak, deahwang, chungoong, jimo, chunnamsung, omija, hyunggae, huekchook, banggi, boclyung, osooyou were selected as raw materials for the screening of anticancer agents.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2001.11a
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• pp.9-14
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• 2001

Today information is important for man and total fields. Science field is not exception. Currently information age things of information is only useful for man and total industry. So bioinformation is necessary of biodiversity in broadly wide and detailed information. Among information, bioinformation of biodiversity is important and utilization of living things. Among them, the mushroom(higher fungi) are an Important part in ecosystem as a decomposer responsible for recycling materials . Many living things today, however, have endangered by environmental pollution and ecological destruction. The higher fungi also are not exception. Mushroom has been used for food sources, pharmacy and forests resources from ancient times. Among biodiversity, database of mushroom is very necessary for university, institute and industry. This DB contains four items of native mushroom(higher fungi) from Korea. first item contain species, genus, family, order class, ad division according to the classification. Second item contain pharmaceutical purpose, food source, culture, toxic, anti-cancer of the application. Third item contain symbiosis, rotten trees of the ecological resources. Fourth item contain geographical distribution and illustrated literature. Information system is also available using KRISTAL II for searches on the WEB in URL http://ruby. kisti. re. kr/～mushroom

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.18-31
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• 2023

Exploring artificial intelligence and machine learning for nuclear safety has witnessed increased interest in recent years. To contribute to this area of research, a machine learning model capable of accurately predicting nuclear power plant response with minimal computational cost is proposed. To develop a robust machine learning model, the Best Estimate Plus Uncertainty (BEPU) approach was used to generate a database to train three models and select the best of the three. The BEPU analysis was performed by coupling Dakota platform with the best estimate thermal hydraulics code RELAP/SCDAPSIM/MOD 3.4. The Code Scaling Applicability and Uncertainty approach was adopted, along with Wilks' theorem to obtain a statistically representative sample that satisfies the USNRC 95/95 rule with 95% probability and 95% confidence level. The generated database was used to train three models based on Recurrent Neural Networks; specifically, Long Short-Term Memory, Gated Recurrent Unit, and a hybrid model with Long Short-Term Memory coupled to Convolutional Neural Network. In this paper, the System Engineering approach was utilized to identify requirements, stakeholders, and functional and physical architecture to develop this project and ensure success in verification and validation activities necessary to ensure the efficient development of ML meta-models capable of predicting of the nuclear power plant response.

• Bulletin of the Korean Chemical Society
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• v.32 no.1
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• pp.201-207
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• 2011

Peroxisome proliferator-activated receptors (PPARs) are members of nuclear receptors and their activation induces regulation of fatty acid storage and glucose metabolism. Therefore, the $PPAR\gamma$ is a major target for the treatment of type 2 diabetes mellitus. In order to generate pharmacophore model, 1080 known agonists database was constructed and a training set was selected. The Hypo7, selected from 10 hypotheses, contains four features: three hydrogen-bond acceptors (HBA) and one general hydrophobic (HY). This pharmacophore model was validated by using 862 test set compounds with a correlation coefficient of 0.903 between actual and estimated activity. Secondly, CatScramble method was used to verify the model. Hence, the validated Hypo7 was utilized for searching new lead compounds over 238,819 and 54,620 chemical structures in NCI and Maybridge database, respectively. Then the leads were selected by screening based on the pharmacophore model, predictive activity, and Lipinski's rules. Candidates were obtained and subsequently the binding affinities to $PPAR\gamma$ were investigated by the molecular docking simulations. Finally the best two compounds were presented and would be useful to treat type 2 diabetes.

• Korean Journal of Plant Resources
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• v.19 no.1
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• pp.174-179
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• 2006

A cDNA library was constructed from leaf samples of 4-year-old Panax ginseng cultured in a field. 3,000 EST from a size selected leaf cDNA library were analyzed. The 349 of 2,896 cDNA clones has related with energy metabolism genes. The 349 known genes were categorized into nine groups according to their functional classification, aerobic respiration(48.4%), accessory proteins of electron transport and membrane associated energy conservation(17.2%), glycolysis and gluconeogenesis(3.4%), electron transport and membrane associated energy conservation(2.9%), respiration(2.0%), glycolysis methylglyoxal bypass(1.7%), metabolism of energy reserves(0.6%) and alcohol fermentation(0.3%).

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.93-100
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• 2004

In this study, a support system is developed for the design of facility structures. This system is called Expert System for Design Optimization of Industrial Plant Structures (EDIPS). Based on the strength assessment of steel-plate structures such as ships and off-shore structures, a detailed load calculation method is developed utilizing the database of various plant structures. The method, developed in support of design and for the assessment of strength, constitutes a part of EDIPS. By providing relevant and consistent design data and procedures to engineers, EDIPS is expected to be useful as an important development tool for maritime distribution system that is used to control the transportation by ships and loading unloading, and storage of cargo.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.131-141
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• 1993

This paper describes the development of SIMS. SIMS provides not only the basic functions, such as input and output of outside plant maps and facility status statistics report, which are the major function of TOMS, but also can manage outside plant facilities and subscriber information integrately to maximize the efficiency of large outside plant facility database and to increase the qualify of subscriber service. SIMS provides following functions: Work order generation for telephone installation; Automatic cable pair assignment; Cable tracing and unused pair management; Subscriber record management and statistics report generation; Subscriber address information management.