With the increasing indroduction and spread of invasive quarantine pests, accurate diagnosis of pests detected in quarantine sites has become crucial. DNA barcoding, a standardized method that complements morphological analysis for rapid and precise species identification, is actively researched worldwide. In this study, we established a molecular biological identification system for major pests encountered during the import and export of agricultural and forestry products. By analyzing the DNA barcode sequences of pests collected domestically and those detected in quarantine inspections, we compiled genetic information for 1,292 individuals representing 472 species, 108 families across 11 insect orders. Among these, order Lepidoptera had the highest diversity, with 251 species across 27 families. We also secured barcodes for 52 species, 24 families in order Hemiptera, and 70 species, 20 families in order Coleoptera. By constructing a comprehensive biological foundation and database for various pests detected in quarantine sites, we aim to enhance the quarantine system by enabling rapid and accurate identification of invasive pests, thereby blocking early.

The Korean Ritual Studies Series is a compilation of the works about Korean ritual studies, which makes a great contribution to scholarship in this area. Relying on a number of major national programs in China and South Korea, digital collation and research the Korean Ritual Studies Series was made to create into a “literature database of Korean ritual studies” by cooperation between the Center for the Study and Application of Chinese Characters (CSACC) of East China Normal University (ECNU) which is a key research institute of humanities and social science approved by the Ministry of Education of the People’s Republic of China, and the research institutions of Kyungsung University including the Center for the Study of Chinese Characters in Korea, the Research Society of Korean Ritual Studies and the Academy of Korean Studies. The basic framework of the database contains six sub-databases, which are fully correlated with each other according to relevant attributes. The database provides search capability, with three search functions, including catalog index, full-text retrieval and a word index. It is a major achievement of an international cooperation program supported by a multilevel international platform. It provides a large sustainable development space for the “literature database of Korean ritual studies”, which is an indispensable and important part of the “public database of Chinese characters” created by the Center for the Study and Application of Chinese Characters (CSACC) of East China Normal University (ECNU). The three key breakthroughs are needed for its further development: (I) Achieving the data association, comparative research and web publishing of Chinese and Korean ritual literature, establishing an Asian big data ritual research and application platform, supporting the research of Chinese and Korean ritual cultures, the communication history of ritual culture, the development history of Chinese characters and the research of many other disciplines, and meeting the multi-functional needs of ritual research, teaching and communication while completing a comprehensive digital connection of the internal resources of the database. (II) Deeply tapping into the massive Chinese character writing and memory data to create a 21st century database for written texts in the Sinosphere on the basis of digital processing and research of Korean ritual literature. (III) Realizing the multidimensional intelligent automatic recognition and interpretation of original literature written and memorized in Chinese characters such as ancient Chinese and Korean ritual literature, family mottoes and letters of noble families and great clans as well as folk handcopied books, and opening a new era of intelligent interpretation and research of the written texts in the Sinosphere through image recognition technology.

There are a lot of problems in the existing databases of ancient characters, such as the digital processing obstacles of Gaiji (characters excluded in character sets), the defects of information technology, and a lack of completeness. The newly released “digital resource library for intelligent Internet search of ancient characters” makes the following breakthrough: it achieves full coverage of all types of ancient characters in all dynasties, and realizes the carrier conversion of character data with strict digital standards, allows the the further processing of materials and the intelligent recognition search technology, and forms the series of thematic databases. There are two major tasks for the future development of the digital resource library of Chinese characters: the development of international standards for ancient character sets, and the further processing and sorting of ancient character materials for the intelligent research of ancient characters.

In order to improve the ground-motion prediction equation, which is an important factor in seismic hazard assessment, it is essential to obtain good quality seismic data for a region. The Korean Peninsula has an environment in which it is difficult to obtain strong ground motion data. However, because digital seismic observation networks have become denser since the mid-2000s and moderate earthquake events such as the Odaesan earthquake (Jan. 20, 2007, ML 4.8), the 9.12 Gyeongju earthquake (Sep. 12, 2016, ML 5.8), and the Pohang earthquake (Nov. 15, 2017, ML 5.4) have occurred, some good empirical data on ground motion could have been accumulated. In this study, we tried to build a ground motion database that can be used for the development of the ground motion attenuation equation by collecting seismic data accumulated since the 2000s. The database was constructed in the form of a flat file with RotD50 peak ground acceleration, 5% damped pseudo-spectral acceleration, and meta information related to hypocenter, path, site, and data processing. The seismic data used were the velocity and accelerogram data for events over ML 3.0 observed between 2003 and 2019 by the Korean National Seismic Network administered by the Korea Meteorological Administration. The final flat file contains 10,795 ground motion data items for 141 events. Although this study focuses mainly on organizing earthquake ground-motion waveforms and their data processing, it is thought that the study will contribute to reducing uncertainty in evaluating seismic hazard in the Korean Peninsula if detailed information about epicenters and stations is supplemented in the future.

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.

PURPOSES : The purpose of this study is to develop a regression model to predict the International Roughness Index(IRI) and Surface Distress(SD) for the estimation of HPCI using Expressway Pavement Management System(PMS).METHODS : To develop an HPCI prediction model, prediction models of IRI and SD were developed in advance. The independent variables considered in the models were pavement age, Annual Average Daily Traffic Volume(AADT), the amount of deicing salt used, the severity of Alkali Silica Reaction(ASR), average temperature, annual temperature difference, number of days of precipitation, number of days of snowfall, number of days below zero temperature, and so on.RESULTS : The present IRI, age, AADT, annual temperature differential, number of days of precipitation and ASR severity were chosen as independent variables for the IRI prediction model. In addition, the present IRI, present SD, amount of deicing chemical used, and annual temperature differential were chosen as independent variables for the SD prediction model.CONCLUSIONS: The models for predicting IRI and SD were developed. The predicted HPCI can be calculated from the HPCI equation using the predicted IRI and SD.

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.

This study was conducted to develop a Han-sik database as well as to assess the effects of Han-sik on dietary quality among Koreans. The Han-sik database was developed by a focus group composed of food and nutrition specialists considering the results of Han-sik perception surveys conducted in previous studies for frequently consumed dishes. Among the 1,322 dish items identified in the 4th (2007-2009) Korea National Health and Nutrition Examination Survey (KNHANES), 973 items (73.6%) were classified as Han-sik. Han-sik usage was defined as the percentage of Han-sik items of all individually consumed dish items in the dietary data of 22,113 subjects who participated in a 24-hour diet recall in the 4th (2007-2009) KNHANES. Dietary quality was evaluated based on adherence to the Korean Food Guidance System (KFGS), which was calculated as the percentage of the number of servings consumed in each food group out of recommended servings according to age and sex. Mean usage of Han-sik was 80.1% and was higher in older age groups, rural areas, as well as in households at the lowest income level. Han-sik usage was also higher on weekdays as well as for breakfast. Adherence to the KFGS was significantly higher for grains, meat · fish · egg · beans, vegetables, and fruits (p<0.001) but lower for milk · dairy products and oils · fats · sugars (p<0.001) across the quartiles of Han-sik usage. The results of this study indicate that Han-sik usage is high among Koreans. Further studies are needed to update the Han-sik database as well as investigate the association between health-related factors and Han-sik use.

We constructed a photometric database system which is optimally designed for microlensing events from KMTNet (Korea Microlensing Telescope Network) observation. We developed a framework software for the convenience of archiving, uploading, searching, and downloading of processed photometric data. From various tests for optimal data archiving engines, we found that the MyISAM storage engine shows the best performance. For the high performance of database system, data types of each field are carefully suggested from various combinations of tests especially to correct round-off errors. The developed framework provides the convenience of access to the database server using query forms via web pages, and displays the light curve of selected target for a quick view.

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.

이 연구는 전자해도(ENC) 데이터를 이용한 현실감 있는 3차원 해상환경 데이터베이스를 제작하는 방법에 관한 것이다. 종이해도로부터 해안선, 등심선, 수심 및 항로표지와 같은 정보를 수작업으로 이산화해서 얻는 기존의 방법에 비해, 본 연구에서 제안하는 방법은 각종 정보를 전자해도 데이터로부터 직접 얻을 수 있기 때문에 기존의 방법보다 손쉽고 정확하게 해상환경 데이터베이스를 제작할 수 있다. 또한 국제수로기구(IHO)의 표준규격(S-57)에 따라 제작되어 전 세계적으로 통일된 규격을 가지고 있는 전자해도 데이터를 이용함으로써 국내 및 외국항에 대한 데이터베이스를 정확하게 제작할 수 있으며, 해상환경 데이터베이스 제작 이외에도 해도의 경.위도 정보를 사용하는 여러 연구 분야에 유용하게 사용될 것으로 판단된다.

본 연구에서는 중학교 및 고등학교의 지구과학 내용에 대한 멀티미디어 학습 프로그램을 개발하였다. 개발된 학습프로그램은 HTML 형식이며 텍스트, 사진, 그림, 동영상 등 다양한 내용물들로 구성되어 있다. 그리고 크게 학습 내용, 용어사전, 생활 과학, 탐구 활동, 영상 자료, 형성 평가 등 6가지 데이터베이스 요소들로 구성되어 있다. 본 연구에서 개발된 멀티미디어 학습 프로그램을 교사와 학생들에게 적용해본 결과 긍정적인 반응을 보였다. 이 프로그램은 현재 공주대학교 과학교육연구소 인터넷 흠페이지에서 무료로 제공하고 있다.

컴퓨터의 제한된 코어메모리로 대형문제를 해결하기 위하여 디스크를 마치 메모리처럼 사용할 수 있는 가상 메모리 데이타베이스 기법을 개발하였다. 이 기법과 아울러 최대 가용코어메모리를 작동시키는 방식을 사용하여 유한요소 해석시 흔히 발생하는 스카이라인 형태로 저장된 대칭통산행예(Sparse Symmetric Matrix)에 대한 매우 효과적인 코어 내 및 코어 외 직립방정식의 해법을 개발하였다. 제안된 방법은 다른 코어 외 해법에 비해 알고리즘 및 코딩이 매우 간단하여 계산효율을 상당히 향상시켰다. 해석예에서는 제안된 방법을 사용하여 대규모 구조해석 문제를 메모리 용량이 작은 소형컴퓨터에서 대단히 효율적으로 해결하였음을 보여주었다.