Since July 2021, the Korea Radioactive Waste Agency has been conducting a safety case development study for the Korean deep geological repository program. The safety case includes generating scenarios in which radioactive materials from spent nuclear fuel repository reach the human biosphere by combining selective FEPs (Features, Events, and Processes). This safety case should be able to transparently explain the process in which conclusions have been drawn not only to stakeholders but also to the public by presenting safety arguments. The scenario development stage consisting of FEP screening, scenario generation, and uncertainty analysis procedures should have a database management system. Database management system was performed in countries such as Sweden, which obtained approval for the construction of spent nuclear fuel repositories, and the United States, where various preliminary research was carried out. Korea Atomic Energy Research Institute also has experience in designing and operating its own database, which has conducted preliminary research on disposal of the spent nuclear fuel. Currently, the safety assessment of the Korean spent nuclear fuel repository is in the early stages of research, but it is necessary to set up a basic framework for database design while the collection of FEP data from domestic and international preliminary studies is under development, and it is advantageous for efficient database construction and operation. Therefore, this paper presents the current status of database design considering completeness and transparency from the FEP screening stage to the scenario development stage in the safety assessment process of the Korean spent nuclear fuel repository. In this process, the functional requirements that the database should provide, the database schema capable of implementing them, and simple examples are presented together. The objectives of this database design are flexible FEPs management, high integrity and consistency, and expandability for linking with the safety case database. The FEP data to be inputted into the database includes a list of major opened FEPs, including International FEPs from Nuclear Energy Agency, which were referred for PFEPs (Project-specific FEPs), and PFEPs applied to POSIVA's Olkiluoto repository. As an additional function, queries from the database are used to visually express the process of deriving scenarios through Rock Engineering System, a widely known scenario generation methodology.

Nuclear operators must sort out their digital assets as Critical Digital Asset (CDA) and manage their vulnerabilities. Since vulnerabilities are continually found and can be abused anytime, and the number of digital assets in nuclear facilities is increasing, it is important to collect publically-known vulnerabilities in automated mechanism to reevaluate their risks. KINAC is now in progress of establishing an automated mechanism of collecting publically-known vulnerabilities for nuclear facilities. This paper will discuss about criteria of selecting database when establishing an automated mechanism of collecting publically-known vulnerabilities for nuclear facilities. When selecting sets of vulnerability database, the characteristic of sets of digital assets need to be managed, importance of each digital asset, and where and who will use the set of digital assets should be mainly considered. Most of safety-related CDAs are made and used in the United States, and safety-related CDAs are similar to Information and Communication Technology (ICT) facilities. Therefore, the main vulnerability database used in the United States should be included when collecting the database of vulnerabilities. Especially, US government actively provides vulnerabilities of digital assets, enacting vulnerability disclosure policy to make each organization report their own potential vulnerabilities. The main vulnerability database of the US is National Vulnerability Database (NVD) of NIST. It contains over 150,000 vulnerabilities on ICT and Industrial Control System (ICS). Nuclear Energy Institute (NEI) published “Cyber Security Vulnerability and Risk Management”, Addendum 5 to NEI 08-09, and informed that US-CERT, ICS-CERT, and NVD can be used as publically-known vulnerability database, and US National Regulatory Commission (NRC) endorsed the publication. In South Korea, KrCERT and National Cyber Threat Intelligence (NCTI) share publically-known vulnerabilities, however, the number of vulnerabilities are less than those of NVD, and most of the data are duplication of those of NVD. Moreover, certain portion of information are only opened to authorized organizations, so it is unable to access those databases. Therefore, considering the fact that most information of vulnerabilities of CDAs are included in NVD and ICS-CERT, vulnerability database should also contain information from NVD and ICS-CERT. Otherwise, the database must contain equivalent information compared to NVD and ICS-CERT. Furthermore, the methodology for collecting vulnerabilities of digital assets from other countries is also required to be studied in the future research.

This study introduces the navigational environment database(DB) compiling water depth, sediment type and marine managed areas (MMAs) in coastal waters of South Korea. The water depth and sediment data were constructed by combining their sparse points of electronic navigation chart and survey data with high spatial resolution using the inverse distance weighting and natural neighbor interpolation method included in ArcGIS. The MMAs were integrated based on all shapefiles provided by several government agencies using ArcGIS because the areas should be used in an emergency case of ship. To test the validity of the constructed DB, we conducted a test application for grounding and anchoring zones using a ship accident case. The result revealed each area of possible grounding candidates and anchorages is calculated and displayed properly, excluding obstacle places.

원자력 사고 후 대기로 누출된 방사성물질이 지표 토양내 침적된 후 강우에 의하여 주변 환경으로 이동하여 지표수계를 오염시킨다. 지표 토양내 침적된 방사성핵종의 거동 평가를 위하여 수립된 지표 수계 및 토양 유실 모델의 주요 입력자료를 수 집하여 분석하였다. 월성 원전이 위치한 낙동강권역의 하천과 호수에서의 물리적 특성과 주요 생물상의 변화를 파악하기 위해서 원전 주변 수생 환경의 조사 및 분석을 수행하였다. 이를 위해 국내 여러 기관에서 제공하는 수치지도, 수문자료, 수질 및 생태환경자료 등을 수집 분석하여 자료간 상호 연계성을 갖도록 체계적인 DB를 구축하였다. 구축된 수생환경 자료는 지표수계에 흡착된 방사성물질의 중장기 거동 평가를 위하여 수립된 지표수계 유동, 토사유실 및 생태계 모델의 기본 입력자 료로 제공되어 종합적인 방사선영향평가에 활용될 예정이다.

This study was carried out to build a database system for amylose and protein contents of rice germplasm based on NIRS (Near-Infrared Reflectance Spectroscopy) analysis data. The average waxy type amylose contents was 8.7% in landrace, variety and weed type, whereas 10.3% in breeding line. In common rice, the average amylose contents was 22.3% for landrace, 22.7% for variety, 23.6% for weed type and 24.2% for breeding line. Waxy type resources comprised of 5% of the total germplasm collections, whereas low, intermediate and high amylose content resources share 5.5%, 20.5% and 69.0% of total germplasm collections, respectively. The average percent of protein contents was 8.2 for landrace, 8.0 for variety, and 7.9 for weed type and breeding line. The average Variability Index Value was 0.62 in waxy rice, 0.80 in common rice, and 0.51 in protein contents. The accession ratio in arbitrary ranges of landrace was 0.45 in amylose contents ranging from 6.4 to 8.7%, and 0.26 in protein ranging from 7.3 to 8.2%. In the variety, it was 0.32 in amylose ranging from 20.1 to 22.7%, and 0.51 in protein ranging from 6.1 to 8.3%. And also, weed type was 0.67 in amylose ranging from 6.6 to 9.7%, and 0.33 in protein ranging from 7.0 to 7.9%, whereas, in breeding line it was 0.47 in amylose ranging from 10.0 to 12.0%, and 0.26 in protein ranging from 7.0 to 7.9%. These results could be helpful to build database programming system for germplasm management.

The purpose of this study is to analyze the accuracy of cultivated crop database in agricultural farm business using UAV(Unmanned Aerial Vehicle) and field survey over Daesso-myeon, Umsung-gun, Chungbuk. When comparing with agricultural farm business and cadastral maps, Daeso-myeon crop field shows 29.8%(2,030 parcels out of 6,822 parcels) is either mismatched or missing. It covers almost 19.3%(3.4km2 of 17.6km2) of total farmland. In order to solve these problems, it is necessary to prepare a multifaceted plan including cadastral map. Comparative analysis of the cultivated crop registered in the agricultural farm business and the field survey agreed only in 3,622 parcels in total 6,822 parcels whereas 3200 parcels disagree. Among these disagreed parcels 2,030(29.8%) have been confirmed as unregistered farm business entity. Accuracy of cultivated crop registered in agricultural farm business agreed in 75.6% cases. Especially the paddy field registration is more accurate that other crops. These discrepancies can lead to false payment in agricultural farm business. For exploration and analysis of regional resources, UAV images can be used together with farm business management database and cadastral map to get a clearer grasp over on-site resources and conditions.

국내 유통중인 다양한 형태의 원료물질 또는 공정부산물들에 대한 물리적, 화학적 및 방사선적 특성을 평가하기 위해 약 220 여 개, 총 16 종의 표본 시료를 선정하였다. 해당 시료들에 대하여 LaBr3 섬광검출기를 이용한 에너지 스펙트럼 측정과 에너 지 분산형 X-선 형광 분광기를 이용한 U, Th, K와 물질의 주요 성분 분석을 수행하였다. 그리고 HPGe 검출기를 이용하여 234Th, 234mPa 및 214Bi 등의 우라늄 붕괴계열 핵종들과 228Ac, 212Pb 및 208Tl 등의 토륨 붕괴계열 핵종들 그리고 40K 등의 방사능 농도를 분석함으로써 원료물질 및 공정부산물의 특성에 관한 기초자료를 수집하였다. 추가적으로 ROI구간별 계수율과 원 소성분함량, 방사능농도와 같은 특성변수들 간의 상관관계를 분석함으로써 스크리닝 장비를 이용한 방사능 농도 분포 유추 가능성을 평가하였다. 본 연구에서 구축된 특성 데이터베이스는 천연방사성핵종 분석을 위한 절차 및 방법을 수립하는데 유 용한 정보를 제공하고, 천연방사성핵종 분석에 대한 정확성 및 재현성을 향상시킬 수 있을 것으로 판단된다

Meanwhile, reference evapotranspiration(ET0) is important information for agricultural management including irrigation planning and drought assessment, the database of reference evapotranspiration for future periods was rarely constructed especially at districts unit over the country. The Coupled Model Intercomparison Project Phase 5 (CMIP5) provides several meteorological data such as precipitation, average temperature, humidity, wind speed, and radiation for long-term future period at daily time-scale. This study aimed to build a database for reference evapotranspiration using the climate forecasts at high resolution (the outputs of HadGEM3-RA provided by Korea Meteorological Administration (KMA)). To estimate reference evapotranspiration, we implemented four different models such as FAO Modified Penman, FAO Penman-Monteith, FAO Blaney-Criddle, and Thornthwaite. The suggested database system has an open architecture so that user could add other models into the database. The database contains 5,050 regions’ data for each four models and four Representative Concentration Pathways (RCP) climate change scenarios. The developed database system provides selecting features by which the database users could extract specific region and period data.

최적의 선박 운항 항로를 찾기 위해서는 선박의 정확한 추진성능을 추정하는 것이 매우 중요하다. 본 논문은 선박 최적운항시스템 의 추진성능 데이터베이스를 생성하기 위한 전산프로그램의 개발에 대해 기술하고 있다. 실해역에서의 추진성능은 표류와 표면 거칠기 등 선 체 상태뿐 만 아니라 파랑과 바람 등 해상 상태의 영향을 받는다. 이 부가저항 추정 방법들은 ISO 15016:2002 표준의 실선 속력시운전 해석법 을 근간으로 하고 있으며, 추가로 바람과 선체 표면 거칠기에 대한 몇 가지 추정 방법이 보완되었다. 이 추정 방법들은 종합적인 전산프로그 램으로 만들어졌다. 그리고 향후 최적 운항경로 계산에 활용될 쇄빙연구선 아라온 호에 대해서 데이터베이스 계산이 수행되었다. 이 프로그램 은 모든 선박의 항로 최적화 계산에 유용하게 사용될 수 있을 것으로 판단된다.

본 연구는 국내에서 유통되고 있는 국화 147품종을 수집하 여 국화 품종의 식별을 위한 SSR 분자표지의 선발 및 이를 이용한 품종별 DNA profile 데이터베이스를 구축하기 위해 수행하였다. 품종식별에 적합한 분자표지를 선정하기 위해 20 개 품종을 대상으로 총 587개의 SSR 분자표지를 검정하여 다형성을 나타내는 27개의 분자표지를 선발하였다. 27개의 분자표지 중 다형성, 재현성, 반복성, 대립유전자 패턴 등을 종합적으로 고려하여 14개의 SSR 분자표지를 데이터베이스 구축에 활용할 마커로 최종 선발하였고 이를 이용하여 국화 147품종에 대한 SSR 분자표지 데이터베이스를 구축하였다. 국화 147 품종을 14개의 SSR 분자표지로 분석한 결과 대립 유전자 수는 79개, 마커별 대립유전자의 분포는 3 ~ 10개로 분포하였고, 분자표지 당 평균 대립 유전자의 수는 5.6개로 나타났다. PIC 값은 0.287 ~ 0.785 범위에 분포하였으며, 평 균값은 0.598로 분석되었다. 국화 147품종에 대한 덴드로그 램을 작성하였을 때 공시품종의 유전적 거리는 0.44 ~ 1.00 범위로 나타났으며, 147품종 중 143품종은 14개 SSR 분자표 지에 의해 식별이 되었으나, 돌연변이 육종법 또는 자연변이 를 통해 육성된 2품종은 원품종과 구분이 되지 않았다. 본 연구에 의해 구축된 국화 품종별 SSR 분자표지 데이터베이스 는 국화 출원품종의 대조품종 선정과 품종보호권 침해 및 종 자분쟁 발생시 유용하게 활용될 수 있을 것으로 사료된다.

Rice gene functional annotation is greatly hindered due to functional redundancy. Based on OGRO database information, function of only 1022 genes were characterized previously where estimated expressed genes is approximately 50000. TFs protein class consist of 80 families and function of only 211 were reported. To address this issue, we developed web resource using MySQL, PHP and related frame work. Database integrates expression pattern and diverse data in phylogenomic contest. Since TFs plays diverse role in plants, meta-expression analysis would provide putative function of remaining genes. Using this approach and in-house database, we have identified featured expression groups: 228 belongs to anatomy, 224 to abiotic stress, 202 to biotic stress and hormone responsive group includes 267 genes. Out of 315 known genes through loss of functional studies, 294 genes have no closely related family members. Among 12 pairs with probes in database, 6 genes have PCC value with more than 0.5 among closely related genes. These data suggest that TFs showing more than 0.5 PCC value among closely relating family members more likely have functional dominancy. This study will provide useful functional information for whole rice TFs and suggest promising functional genomic studies.

This study was conducted to construct a DNA marker database for 38 plum varieties collected in Korea using simple sequence repeat (SSR) markers. A set of 61 SSR primer pairs was tested to select polymorphic SSR markers between 8 varieties. Among the 61 primer pairs, 21 showed polymorphism, reproducibility and easy scoring. The genetic relationship between the 21 SSR markers and 38 varieties was analyzed. A total of 210 polymorphic amplified fragments were obtained with the 21 SSR markers. Three to seventeen SSR alleles were detected for each locus, with an average of 10.0 alleles per locus. Average polymorphism information content (PIC) was 0.758, with a range from 0.549 to 0.870. A total of 210 SSR marker loci were used to calculate Jaccard’s distance coefficients for cluster analysis by an unweighted pair-group method with arithmetical average (UPGMA). The genetic distance ranged from 0.06 to 1.00 in 38 varieties. Out of 38 plum varieties, 32 were identified using the 21 SSR markers. Therefore, these SSR markers may be employed to complement distinctness, uniformity, and stability (DUS) tests or as potential tools to solve seed disputes regarding plums.

In this study, we conducted a pilot basis for the census debris flow hazard zone is located on the roadside in some national road. Valley part by usage data for 154 points by calculating the risk and damage was also selected for the debris flow prevention research priorities. This databased to be able to systematically manage a debris flow that may occur on the national roadside.

To successful molecular breeding, identification and functional characterization of breeding related genes and development of molecular breeding techniques using DNA markers are essential. Although the development of a useful marker is difficult in the aspect of time, cost and effort, many markers are being developed to be used in molecular breeding and developed markers have been used in many fields. Single nucleotide polymorphisms (SNPs) markers were widely used for genomic research and breeding, but has hardly been validated for screening functional genes in olive flounder. We identified single nucleotide polymorphisms (SNPs) from expressed sequence tag (EST) database in olive flounder; out of a total 4,327 ESTs, 693 contigs and 514 SNPs were detected in total EST, and these substitutions include 297 transitions and 217 transversions. As a result, 144 SNP markers were developed on the basis of 514 SNP to selection of useful gene region, and then applied to each of eight wild and culture olive flounder (total 16 samples). In our experimental result, only 32 markers had detected polymorphism in sample, also identified 21 transitions and 11 transversions, whereas indel was not detected in polymorphic SNPs. Heterozygosity of wild and cultured olive flounder using the 32 SNP markers is 0.34 and 0.29, respectively. In conclusion, we identified SNP and polymorphism in olive flounder using newly designed marker, it supports that developed markers are suitable for SNP detection and diversity analysis in olive flounder. The outcome of this study can be basic data for researches for immunity gene and characteristic with SNP.

The purpose of this study is to investigate the entire processes of rural amenity resources survey from the beginning to the end, to discuss the results of the survey and resources information establishment, and to comprehensively analyze the status of resources information application. Rural amenity resources survey, which is aimed at finding rural amenity resources to respond to the demands of the resources and support rural development, was first conducted by National Academy of Agricultural Science under Rural Development Administration in 2005. The first survey subjects were 149 eups and myeons in Korea, expanding to the nationwide rural villages. In 2012, the rural amenity resources survey was completed. Next year, the information establishment was completely made. It is expected that the rural amenity resources information established by the survey will be more applied and used, and that with the constant addition of new analyses in line with the changing environment demands, rural amenity resources will contribute to dynamic rural development.

Molecular markers are useful for selecting to include superior character genetic like as strong immune system and rapid growth in fish. The marker is also very important part of breeding technology in Olive flounder (Paralichthys olivaceus). Single nucleotide polymorphisms (SNPs) marker is already in use widely for genomic research and breeding. But this SNPs marker hardly has been validated for screening functional genes in Olive flounder. We study identify single nucleotide polymorphisms (SNPs) on Expressed sequence tag (EST) database, develop usable SNP marker and apply to wild sample and cultured of olive flounder. As a result, Out of total 4.327 ESTs, 693contigs and 514 SNP from total contigs were detected while these substitutions include 297 transitions and 217 transversions. 144 developed markers were applied in 16 samples (wild 8, culture 8), Out of total marker, only 32 markers had detected polymorphic in sample. Polymorphism of 32 markers was observed in the variety genes region involved in immunity and protein synthesis. And the 32 marker were identified 21 transitions, 11 transversions, and indel was not detected in polymorphic SNPs. The analysis on heterozygosity by sample showed 0.34 in wild sample and 0.29 in cultured sample. In conclusion, we was identified SNP and Polymorphism by designed new marker, it supports that development marker is suitable for SNP detection and diversity analysis in Olive flounder. The outcome of this study can be basic data for researches for immunity gene and characteristic with SNP.

Seed & Variety Service for Plant Variety Protection (PVP). We previously constructed DNA profile database for identifying 159 lettuce varieties using 60 simple sequence repeat (SSR) markers. In this study, we selected optimum markers from previously applied markers and new SSR markers for the standardization of DNA profile database of 65 commercial lettuce varieties containing 18 PVP varieties distributed in Korea. Twenty-eight SSR markers from 60 SSR markers were selected for characterization with 65 commercial lettuce varieties according to the reproducibility, polymorphism, band pattern of marker and easiness of scoring. Out of 156 SSR primers, we additionally selected 11 new SSR primer pairs showed polymorphisms between 8 varieties and repetitive reproducibility on capillary electrophoresis system. Totally 127 polymorphic amplified fragments were obtained using 39 SSR markers. Two to seven SSR alleles were detected for each locus with an average of 3.3 alleles per locus. Average polymorphism information content was 0.517, ranging from 0.281 to 0.771. Genetic distance of clusters ranged from 0.29 to 0.96 by unweighted pair-group method with arithmetical average based on Jaccard’s distance coefficients. A total of 65 commercial lettuce varieties were discriminated by 39 SSR marker genotypes. These SSR profile database developed will be continually characterized for the standardization of DNA profiles for lettuce commercial varieties

Test-bed was constructed in Honam High-speed railway due to evaluate the suitable infrastructure for operation of 400km/h level speed. To evaluate performance of roadbed in test-bed, several sensors installed in the standard roadbed, soft ground, transition zone as bridge and earthwork. In contrast to existing long-term monitoring, system developed was designed and builted on site to log-time operation automatically. Therefore, the measured data collected monitoring system and analysis results can be databased continuously from construction to operation of railway for study design criteria about long-term behavior of roadbed.