The decommissioning of Korea Research Reactor Units 1 and 2 (KRR-1&2), the first research reactors in South Korea, began in 1997. Approximately 5,000 tons of waste will be generated when the contaminated buildings are demolished. Various types of radioactive waste are generated in large quantities during the operation and decommissioning of nuclear facilities, and in order to dispose of them in a disposal facility, it is necessary to physico-chemically characterize the radioactive waste. The need to transparently and clearly conduct and manage radioactive waste characterization methods and results in accordance with relevant laws, regulations, acceptance standards is emerging. For radioactive waste characterization information, all information must be provided to the disposal facility by measuring and testing the physical, chemical, and radiological characteristics and inputting related documents. At this time, field workers have the inconvenience of performing computerized work after manually inputting radioactive waste characterization information, and there is always a possibility that human errors may occur during manual input. Furthermore, when disposing of radioactive waste, the production of the documents necessary for disposal is also done manually, resulting in the aforementioned human error and very low production efficiency of numerous documents. In addition, as quality control is applied to the entire process from generation to treatment and disposal of radioactive waste, it is necessary to physically protect data and investigate data quality in order to manage the history information of radioactive waste produced in computerized work. In this study, we develop a system that can directly compute the radioactive waste characterization information at the field site where the test and measurement are performed, protect the stored radioactive waste characterization data, and provide a system that can secure reliability.

Since high-level radioactive wastes contain long-lived nuclides and emit high energy, they should be disposed of permanently through a deep geological disposal system. In Korea, the first (2016.07) and the second (2021.12) basic plans for the management of high-level disposal systems were proposed to select sites for deep geological disposal facilities and to implement business strategies. Leading countries such as Finland, Sweden and France have developed and applied safety cases to verify the safety of deep geological disposal systems. By examining the regulatory status of foreign leading countries, we analyze the safety cases ranging from the site selection stage of the deep geological disposal system to the securing of the permanent disposal system to the investigation, analysis, evaluation, design, construction, operation, and closure. Based on this analysis, we will develop safety case elements for long-term safety of deep geological disposal systems suitable for domestic situation. To systemically analyze data based on safety cases, we have established a database of deep geological disposal system regulations in leading foreign countries. Artificial intelligence text mining and data visualization techniques are used to provide database in dashboard form rather than simple lists of data items, which is a limitation of existing methods. This allows regulatory developers to understand information more quickly and intuitively and provide a convenient interface so that anyone can easily access the analyzed data and create meaningful information. Furthermore, based on the accumulated bigdata, the artificial intelligence learns and analyzes the information in the database through deep learning, and aims to derive a more accurate safety case. Based on these technologies, this study analyzed the legal systems, regulatory standards, and cases of major international leading countries and international organizations such as the United States, Sweden, Finland, Canada, Switzerland, and the IAEA to establish a database management system. To establish a safety regulation base suitable for the domestic deep geological disposal environment, the database is provided as data to refer to and apply systematic information management on regulatory standards and regulatory cases of overseas leading countries, and it is expected that it will play a key role as a forum for understanding and discussing the level of safety of deep geological disposal system among stakeholders.

Kori-1, the nuclear power plants in South Korea, first started operation in April 1978 and was suspended permanently in 2017. The saturation rate time of spent nuclear fuel generated by major nuclear power plants operating in Korea are getting closer. If we fail to dispose spent nuclear fuel, which is equivalent to high-level radioactive waste, the nuclear power plants will have to be shutdown. High-level radioactive waste is permanently disposed through a deep geological disposal system because it contains long-term half-life nuclides and emits high energy. To select the deep geological disposal site and construct the disposal facilities, it is necessary to establish appropriate regulatory policies accordingly. The status of database construction in OECD-NEA, NRC, SITEX, and IAEA, which provides safety regulations for deep geological disposal system, stipulates each requirement for dismantling nuclear power plants. However, details such as specific figures are not specified, and guidelines for the disposal of high-level radioactive wastes are not clearly distinguished. In Korea, the CYPRUS program, an integrated database system, has been developed to support comprehensive performance evaluation for high-level waste disposal. However, due to several difficult situations, maintenance and upgrades have not been performed, so the research results exist only in the form of raw data and the new research results have not been reflected. Other than that, there is no preemptive basis for regulating the deep geological disposal system. With real-time database, we can develop a regulatory system for the domestic deep disposal system by systematically analyzing the regulatory condition and regulatory case data of international organizations and foreign leading countries. The database system processed and stored primary data collected from nuclear safety reports and other related data. In addition, we used relational database and designed table to maximize time and space efficiency. It is provided in the form of a web service so that multiple users can easily find the data they want at the same time. Based on these technologies, this study established a database system by analyzing the legal systems, regulatory standards, and cases of major foreign leading countries such as Sweden, Finland, the United States, and Japan. This database aims to organize data for each safety case component and further prepare a safety regulatory framework for each stage of development of disposal facilities suitable for the domestic environment.

안전한 해양플랜트 운용을 위해 장비 성능평가를 실시하고 그 결과를 모니터링 할 수 있는 시스템이 필요하다. 현재는 육상으로부터 멀리 떨어진 해양플랜트의 특성상 장비 성능평가를 위해 정기적으로 계측 데이터를 저장매체에 저장한 후 육상으로 운반해야한다. 이로인해 성능평가 주기가 길어지고, 다음 성능평가가 시행되기 전까지의 장비의 성능 저하 정도를 알 수 없어 장비의 고장을 방지하기 어렵다. 따라서 육상이 아닌 해양플랜트 내에 온보드(on-board) 형태의 장비 성능 모니터링 시스템을 구축할 필요가 있다. 본 논문에서는 해양플랜트 내에서 장비 성능을 평가하고 그 결과를 가시화하는 장비 성능 모니터링 시스템을 개발하기 위한 초기 단계로, 장비 성능 모니터링 시스템의 데이터베이스를 설계 및 구축하고자 한다. 이를 위해 주요 장비의 태그 데이터를 선정하여 분석을 진행하였다. 최종적으로 장비 상태를 실시간으로 계측한 데이터를 해양플랜트 내에서 저장 및 관리하기 위해 온보드 형태의 장비 성능 모니터링 시스템을 위한 데이터베이스를 설계 및 구축 하였다.

본 연구에서는 국내의 공시된 545종의 위험유해물질의 국제 해상운송위험물 코드를 포함한 다양한 물질 고유번호들을 수집하고 물질정보와 위험성에 대해 조사한 후, 이미 개발된 미국, 일본, 유럽형 데이터베이스를 참고하여, 해상 운송되는 국내 HNS의 물질정보와 폭발성과 부식성을 포함한 거동특성에 대한 자료를 취합한 한국형 위험유해물질 데이터베이스를 구축하였다. 또한 기존 육상 환경위주의 위험유해물질의 데이터베이스의 문제점과 혼합물 위험유해물질의 물질정보의 부재를 포함한 해결해야할 문제점을 보고하였다. 해양유출사고에 대비한 데이터베이스의 구조를 국내 해양환경에 맞는 기본모델을 구축하고 추후 확장 데이터베이스 구성에 대한 개선안을 제시하였다.

The New Vacuum Solar Telescope (NVST) is a 1-meter vacuum solar telescope that aims to observe the ne structures of active regions on the Sun. The main tasks of the NVST are high resolution imaging and spectral observations, including the measurements of the solar magnetic eld. The NVST has been collecting more than 20 million FITS les since it began routine observations in 2012 and produces a maximum observational records of 120 thousand les in a day. Given the large amount of les, the effective archiving and retrieval of les becomes a critical and urgent problem. In this study, we implement a new data archiving system for the NVST based on the Fastbit Not Only Structured Query Language (NoSQL) database. Comparing to the relational database (i.e., MySQL; My Structured Query Language), the Fastbit database manifests distinctive advantages on indexing and querying performance. In a large scale database of 40 million records, the multi-eld combined query response time of Fastbit database is about 15 times faster and fully meets the requirements of the NVST. Our study brings a new idea for massive astronomical data archiving and would contribute to the design of data management systems for other astronomical telescopes.

This study aimed at construction of text and graphic database for moment-rotation curves of partially restrained composite beam-to-column connections. key words The M-θ data or figures under monotonic or cyclic tests are made as text files. Also, Eurocode 3 classification is added to the M-θ curve to verify as semi-rigid connections. For structural analysis, linear rotational stiffeness or nonlinear M-θ curves are transformed three-parameter power model. Although this database has some limitation, it will be used for further PRCC researches and tests.

본 연구는 국립기상연구소에서 생산한 기상자원지도 및 기상정보의 원시자료로부터 Web2.0기반의 기상자원정보시스템 설계 및 구축을 목적으로 한다. 세부 목표로는 (1)기상자원 DB의 공간정보화, 통계적 정보 제공에 적합한 DB 서비스 개발 (2)사용자 경험 중심의 RIA 서비스 개발, (3)기상자원 KML 배포 서비스 웹 제공을 통해 사용자가 참여와 기상정보 콘텐츠 창작환경 조성에 있다. 이를 위해 풍력과 태양광 관련 기상자원지도와 원시자료를 이용해 GeoDB 및 웹서비스를 설계 및 구현하였다. 결과로서 구축된 기상자원 GeoDB 및 웹서비스가 Web2.0 패러다임을 지향하는 지에 대해 그 활용성을 평가하였다. 본 연구를 통해 생산생산된 기상자원 공간/통계 정보 및 RIA서비스는 입지분석, 의사결정지원, 창작활동 등 여러 응용분야에 유용하게 활용될 것이다.

We have designed data processing server system to include data archiving, photometric processing and light curve analysis for KMTNet (Korea Microlensing Telescope Network). Outputs of each process are reported to the main photometric database, which manages the whole processing steps and archives the photometric results. The database is developed using ORACLE 11g Release 2 engine. It allows to select objects applying any set of criteria such as RA/DEC coordinate and Star ID, etc. We tested the performance of the database using the OGLE photometric data. The searching time for querying 70,000,000 records was under 1 second. The database is fully accessed using query forms via web page.

본 연구에서는 도로교의 지진피해평가체계를 구축하기 위해 필요한 정보항목들을 정의하고 우리나라 실정에 맞는 데이터 베이스 구축방법을 제시하였다. 도로교 지진피해평가를 위한 정보요소는 크게 구조물 관련 정보와 위치관련 정보로 구분하였다. 구조물 관련정보는 도로망에 위치한 교량의 지진피해를 예측하는데 필요한 도로교의 취약도 곡선 정보항목으로 구성하였다. 위치관련 정보항목인 도로망의 데이터구조는 상세한 교차로 모델링이 가능하도록 기존의 GIS 데이터구조를 보다 세분화하여 정의하였다. 고속도로망에 위치한 110개의 교량을 대상으로 시범 시스템을 개발하였으며, 제시된 데이터베이스 구축 방법은 도로망의 신속한 피해복구를 위한 의사결정 지원체계 구축에 효과적으로 활용이 가능함을 보였다.