• 한국정보시스템학회지:정보시스템연구
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• 제12권2호
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• pp.21-39
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• 2003

Many people including teachers and students' parents must assist each student who will be a hero of future to develop their potential abilities and acquire various skills. Counseling is a fundamental thing to achieve this goal. But, in reality, it is usually difficult to do counseling which makes it possible to establish desirable self-view and world view expertly and systema tically because of burdensome task of teachers, spatial and time limit and students' extracurri cular activities. Taking advantages of computer networking, this research was designed to solve various problematic situations we can usually face with in school and home, to reduce limitations among three parties: teachers, parents and students, and to keep record continuously on the process and contents of counseling. And, also, this research is focused to web-based counseling network that makes possible to build database system easily adapts to specialty of each schools. Web based counseling system will provide these advantages: 1. Through analyzing and editing which will be done by expert In of accumulated database, to realize more systematic and expert database will be possible. 2. Owing to the physical characteristic of cyber space, counseling will be done any time and anywhere the computer is. 3. Because it is possible to minimize social limitations on physical condition, communication channel and anonymity of cyber space, counseling will be relatively easy to perform. 4. The contents of counseling will be automatically recorded on the database.

• 자동차안전학회지
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• 제14권4호
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• pp.77-83
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• 2022

Occupant behaviors and body contact with vehicle interior parts are main injury mechanism in far-side collisions. In vehicle side impact accident where the crash accident occurs on the opposite side of the vehicle from the a particular occupant, it is exposed in terms of relatively larger lateral motion to interact with the opposite side of the vehicle structure. The challenge of minimizing motions of upper body and injury risk according to a direct contact is a primary occupant protection research. This study has performed a data analysis of real-world accident database extracted from the 2016~2020 CISS database and a parametric investigation of impact angles and occupant kinematics in far-side lateral and oblique impact simulations. A detailed data analysis was conducted to reveal the relationship among the accident and injury data. Database analysis and computational far-side impact results proposed the fundamental vehicle design for safety improvement in far-side collisions.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.413-416
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• 2007

To construct road spatial information database, it is the main object of this study that an analysis of road factors and furthermore this is used to the rescue activities in case of urban disasters. When urban disasters such as earthquake or explosion cause fire and collapses people of the affected region happen to evacuate. But only to manage roads and monitor traffic volume, the road data is designed and managed using digital topographic map so it is short that the design of road spatial data to prevent disasters. In this study, we tried to suggest the evaluative factors of evacuation to design database : road width, traffic volume, the fixed or movable obstacles installed, the surrounding environments that dominate the land-use planning, the uses, materials, structures, sizes, and densities of the buildings. Thus, these could provide fundamental data to determine the disasters management planning for evacuation and rescue activities, to evaluate the riskiness, and to draw up hazard information map.

• 디자인학연구
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• 제12권4호
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• pp.283-292
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• 1999

최근 들어 네트 을 활용할 수 있는 사회기초 기반구축의 빠른 진척과 더불어 교육환경에서 네트 및 멀티미디어 서비스의 활용에 대한 대내외적 요구는 빠른 속도로 증가하고 있는 반면, 이러한 요구를 충족시켜줄 만한 디지털 시스템을 기반으로 하는 교육 시나이로에 대한 연구는 그 다지 쉽게 찾아 볼 수 없는 실정이다. 특히 시청각 교육을 위주로 하는 교육환경(미술, 디자인 등)에서의 디지털 시스템의 활용에 관한 연구는 데이터베이스의 구조에 관한 연구를 제외하고는 거의 전무한 형편이다. 21세기의 국가 디자인 경쟁력 향상을 위해서도 산재되어 있는 디자인 자료를 디지털화 하여 언제 어디서나 열람할 수 있게 하는 시스템의 개발이 시급한 때이다. 따라서 본 연구에서는 다음과 같은 세 가지의 목적을 가지고 수행되었다. 첫째, 디자인 데이터 베이스 구성요소 추출 및 분류체계 개발. 둘째, 디자인 데이터 베이스 구성요소 추출 및 분류체계 개발. 마지막으로, 디자인 데이터 베이스 활용 방법 개발. 본 목적에 의거하여 두 가지 방향성에 의하여 기초 조사가 수행되었다. 첫째는 기존의 디자인 분류 체계에 관한 체계적 분석이었으며, 둘째는 기초 조형 교육의 교육내용 및 과정분석이 이루어 졌다. 분석된 결과를 토대로 본 연구에서는 다음과 같은 결과를 얻을 수 있었다. 첫째, 디자인 데이터의 감성적 평가에 대한 교육적 요구를 수용하기 위하여 이미지 데이터에 고정적 구성요소이외에 감성요소를 수용할 수 있는 가변적 구성요소를 부가하여 구조를 설계하였다. 둘째, 디자인 데이터 베이스를 운용하여 기초 조형 교육에 활용할 수 있는 체계를 개발하였다. 그리고 마지막으로, 디자인 데이터 베이스 활용 Application의 프로세스가 시나리오 기반 디자인 방법론에 의거하여 개발되어 졌으며, 또한 그에 합당한 UI 도 개발되어졌다.

• 대한공간정보학회지
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• 제8권2호
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• pp.71-78
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• 2000

현재 지적도 전산화에 기록된 속성자료는 도형자료와의 연계를 고려하여 작성된 것이 아니고 형식면에서 자료가 기재된 상태로 사용되고 있다 따라서 다양한 공간정보의 분석과 종합도형정보의 기초 자료로 활용하기 위해서는 속성자료와 지적도가 연계되어 수치정보화가 이루어져야 한다. 본 연구는 도해지적도와의 관련 사항들을 기준으로 도형 및 속성정보를 연계하여 지적정보를 효율적으로 구축하여 활용하고자 하였다. 속성정보는 데이터 모델링을 이용하여 개체-관계 다이어그램으로 표현하므로써 관계형 데이터베이스의 형태로 구축하였다. 그리고 다양한 공간분석 및 응용방법을 제시함으로써 지적정보를 효율적으로 관리하고 지적도면의 전산화 방안을 비롯하여 각종 공공계획을 수립, 설계하는데 기초자료로 제시하고자 한다.

• 동의생리병리학회지
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• 제29권3호
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• pp.218-222
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• 2015

Facial diagnosis based on quantitative facial features has been studied in many Korean medicine fields, especially in Sasang constitutional medicine. By the rapid growing of 3D measuring technology, generic and cheap 3D sensors, such as Microsoft Kinect, is popular in many research fields. In this study, the possibility of using Kinect in facial diagnosis is examined. We introduce the development of facial feature extraction system and verify its accuracy and repeatability of measurement. Furthermore, we compare Sasang constitution diagnosis results between DSLR-based system and the developed Kinect-based system. A Sasang constitution diagnosis algorithm applied in the experiment was previously developed by a huge database containing 2D facial images acquired by DSLR cameras. Interrater reliability analysis result shows almost perfect agreement (Kappa = 0.818) between the two systems. This means that Kinect can be utilized to the diagnosis algorithm, even though it was originally derived from 2D facial image data. We conclude that Kinect can be successfully applicable to practical facial diagnosis.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2018년도 추계학술대회
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• pp.32-32
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• 2018

Flora investigations in Korea have been conducted by many researchers for diverse purposes. Accumulated flora investigation data has not been utilized efficiently because there is no accessible database for comparison. To overcome this shortcoming, we constructed web-based database of flora investigation, named as the Integrated Korean Flora Database (IKFD; http://www.floradb.net/intro.php). Until now, 284 flora references (263 papers, 14 reports and books, and 7 unpublished papers written in between 1962 and 2017) were digitalized into the database. From 134,711 records, 4,301 species belonging to 228 families and 1,079 genera were identified via mapping with two major Korean plant species lists. Polygon areas originated from references were used for distribution of plant species, identifying precise distribution area. It will be a better index to show plant ecological characteristics. Collected micro-climate data provided by Korea Meteorology Administration were also integrated in IFKD for understanding correlation between distribution of plants and micro-climate. Cold hardiness zone which has been utilized for classifying climate zones. 12 out of 26 zones identified based on micro-climate data in Korea were mapped with distribution of plants. More than half species were appeared in zone 6a, 6b, 7a, and 7b. Taken together with these results, IKFD will be a fundamental platform for understanding plants in Korea flora investigation as well as a new standard for classifying distribution of plants. Moreover, Biodiversity Observation Database (BODB; http://www.biodiversitydb.info/intro.php) which integrates plant distribution data was also integrated for further studies.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2018년도 춘계학술발표회
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• pp.16-16
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• 2018

Flora investigations have been conducted by many researchers for a long time in Korea. Even though large amount of investigation data has been accumulated, there is no accurate statistics or database because most of data were published in a printed form. We developed a web-based database of flora investigation, named as the Integrated Korean Flora Database (http://www.floradb.net/) to understand distribution patterns and habitats of plants in Korea. Till now, 480 published paper, 356 thesis, 76 reports and books, and 8 unpublished papers written in between 1962 and 2017 were collected and their species lists from 280 papers were parsed into the database. From 124,105 records, 3,100 species belonging to 206 families and 965 genera were identified via comparing with two major Korean plant species lists. 55 endangered species, 159 endemic species, and 367 rare species were identified. The most frequently surveyed species were Commelina communis in herbaceous and Rosa multiflora in woody plants. Microclimate data provided by Korea Meteorological Administration were also integrated and analyzed to assign cold hardness zones for each species. By comparing minimum temperature (<2%) acquired from automated weather stations (AWS) near by plant species, 6a to 10b zones (7b is the most frequent zone) were identified. Integrated Korean Flora Database will be a fundamental platform of korea flora investigation as well as a new standard for classifying distribution of plants based on accurate microclimate data. Moreover, it can also provide evidences of investigated plant species, such as specimen and/or pictures with connecting to the InfoBoss Cyber Herbarium (http://herbarium.infoboss. co.kr/) and Biodiversity Observation Datbase (BODB; http://www.biodiversitydb.org/).

• 정보관리학회지
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• 제22권2호
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• pp.23-39
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• 2005

본 연구의 목적은 국내에서 구축되고 있는 참고문헌 데이터베이스의 현황을 분석하여 문제점을 밝히고, 이들 문제점을 토대로 정보원으로서의 기능과 평가도구로서의 기능을 적절하게 수행할 수 있는 참고문헌 데이터베이스를 구축하기 위한 활성화 방안을 제언하는데 있다. 이를 위하여 국내에서 구축되는 참고문헌 데이터베이스 가운데 전문연구정보센터에서 구축하는 참고문헌 DB, 한국과학기술정보연구원의 KSCI, 학술진흥재단의 KCI. 대한의학회의 KoMCI를 연구대상으로 분석하였다. 이를 근거로 국내 참고문헌 데이터베이스 구축 사업을 위한 방안을 도출하여 제시하였다. 이들 자료는 참고문헌DB 구축을 위한 제도 및 정책, 기술적 방향을 제시하는데 근거자료로 활용할 수 있을 것이다.

• Journal of Computing Science and Engineering
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• 제6권3호
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• pp.193-206
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• 2012

Keys play a fundamental role in all data models. They allow database systems to uniquely identify data items, and therefore, promote efficient data processing in many applications. Due to this, support is required to discover keys. These include keys that are semantically meaningful for the application domain, or are satisfied by a given database. We study the discovery of keys from SQL tables. We investigate the structural and computational properties of Armstrong tables for sets of SQL keys. Inspections of Armstrong tables enable data engineers to consolidate their understanding of semantically meaningful keys, and to communicate this understanding to other stake-holders. The stake-holders may want to make changes to the tables or provide entirely different tables to communicate their views to the data engineers. For such a purpose, we propose data mining algorithms that discover keys from a given SQL table. We combine the key mining algorithms with Armstrong table computations to generate informative Armstrong tables, that is, key-preserving semantic samples of existing SQL tables. Finally, we define formal measures to assess the distance between sets of SQL keys. The measures can be applied to validate the usefulness of Armstrong tables, and to automate the marking and feedback of non-multiple choice questions in database courses.