• Title/Summary/Keyword: 다단 데이터베이스

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Design and Implementation of Multistage Database for Shipboard by using Data Sampling (데이터 샘플링을 이용한 선박용 다단 데이터베이스 설계 및 구현)

  • Seo, Jeong-Min;Hwang, Hun-Gyu;Lee, Seong-Dae;Lee, Jang-Se;Jang, Kil-Woong;Park, Hyu-Chan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.5
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    • pp.1111-1118
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    • 2011
  • Several data from equipments on shipboard have been used for the safe navigation of ships. Due to the varieties of data, however, there may be difficulties to manage those data separately. Therefore, it can be effective to develop database for the integrated management of ship data. However, the database may become full soon because huge amount of data are saved continuously. To cope with this problem, this paper proposes multistage database which can always keep the database under full by means of sampling mechanism. To verify the functionality of the methodology, a prototype system has been implemented and tested.

A development of video-complex remote monitoring system for offshore plant (영상복합형 해양플랜트 원격 관제 시스템 개발)

  • Kim, Hun-Ki;Hwang, Hun-Gyu;Yoo, Gang-Ju;Lee, Jang-Se;Park, Hyu-Chan;Shin, Ok-Keun;Lee, Seong-Dae
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.1
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    • pp.56-63
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    • 2014
  • An offshore plant needs costly maintenance and has difficulty coping with various accidents coming from the exposure to the environmental threats such as typhoons, tidal waves and etc., in addition to the artificial ones such as fire, collision of ships and etc. In this paper, we develop the video-complex remote monitoring system for an offshore plant, using AtoN AIS and multi-stage database to monitor an offshore plant and solve those problems. The system handles real time video cameras to collect and monitor images on an offshore plant. So, users can be exactly and quickly aware of the information on various situations with the monitoring application based on ENC.

Mining Sequential Patterns Using Multi-level Linear Location Tree (단계 선형 배치 트리를 이용한 순차 패턴 추출)

  • 최현화;이동하;이전영
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.70-72
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    • 2003
  • 대용량 데이터베이스로부터 순차 패턴을 발견하는 문제는 지식 발견 또는 데이터 마이닝(Data Mining) 분야에서 주요한 패턴 추출 문제이다. 순차 패턴은 추출 기법에 있어 연관 규칙의 Apriori 알고리즘과 비슷한 방식을 사용하며 그 과정에서 시퀀스는 해쉬 트리 구조를 통해 다루어 진다. 이러한 해쉬 트리 구조는 항목들의 정렬과 데이터 시퀀스의 지역성을 무시한 저장 구조로 단순 검색을 통한 다수의 복잡한 포인터 연산수행을 기반으로 한다. 본 논문에서는 이러한 해쉬 트리 구조의 단정을 보완한 다단게 선형 배치 트리(MLLT, Multi-level Linear Location Tree)를 제안하고, 다단계 선형 배치 트리를 이용한 효율적인 마이닝 메소드(MLLT-Join)를 소개한다.

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A Design of Vessel Traffic and Meteorological Information Management System for Korean Littoral Sea using AIS (AIS를 이용한 연근해 교통 및 기상 정보 관리 시스템 설계)

  • Hwang, Hun-Gyu;Kim, Hun-Ki;Lee, Jae-Woong;Kim, Min-Jae;Yoo, Kang-Ju;Lee, Seong-Dae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.856-859
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    • 2013
  • Ships and marine structures(lighthouses and buoys for AtoN) have AIS(Automatic Identification System) for transmission messages which include navigational and environmental information. VTS Center and surrounding ships receive and apply the information to safety navigation. A main characteristic of AIS messages is open to general people, so many researches are in progress. In this paper, we design an information management system which considers marine vessel traffic and environmental information in korean littoral sea. The system gathers and processes the information, and stores the processed data to multi-stage database. Also the system visualizes the stored data to use analysis and statistics based on ENC.

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Aerodynamic Design of EAV Propeller using a Multi-Level Design Optimization Framework (다단 최적 설계 프레임워크를 활용한 전기추진 항공기 프로펠러 공력 최적 설계)

  • Kwon, Hyung-Il;Yi, Seul-Gi;Choi, Seongim;Kim, Keunbae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.3
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    • pp.173-184
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    • 2013
  • A multi-level design optimization framework for aerodynamic design of rotary wing such as propeller and helicopter rotor blades is presented in this study. Strategy of the proposed framework is to enhance aerodynamic performance by sequentially applying the planform and sectional design optimization. In the first level of a planform design, we used a genetic algorithm and blade element momentum theory (BEMT) based on two-dimensional aerodynamic database to find optimal planform variables. After an initial planform design, local flow conditions of blade sections are analyzed using high-fidelity CFD methods. During the next level, a sectional design optimization is conducted using two dimensional Navier-Stokes analysis and a gradient based optimization algorithm. When optimal airfoil shape is determined at the several spanwise locations, a planform design is performed again. Through this iterative design process, not only an optimal flow condition but also an optimal shape of an EAV propeller blade is obtained. To validate the optimized propeller-blade design, it is tested in wind-tunnel facility with different flow conditions. An efficiency, which is slightly less than the expected improvement of 7% predicted by our proposed design framework but is still satisfactory to enhance the aerodynamic performance of EAV system.

A study on collecting representative food samples for the 10th Korean standard foods composition table (국가표준식품성분 데이터베이스 대표시료 선정을 위한 표본설계)

  • Kim, Jinheum;Hwang, Hae-Won;Cho, Yu Jung;Park, Jinwoo
    • The Korean Journal of Applied Statistics
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    • v.33 no.2
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    • pp.215-228
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    • 2020
  • Under Article 19, Paragraph 1 of the Food Industry Promotion Act, Rural Development Administration renews the Korean foods composition table every five years. Before the publication of the tenth revision of the Korean foods composition table in 2021, this paper suggests methods for collecting representative samples of 182 highly consumed foods in Korea. Food markets are categorized by their distribution channels, which are supermarkets and local markets. Eight samples are collected from each category by applying the National Food and Nutrient Analysis Program (NFNAP)'s stratified multi-stage sampling. The NFNAP was implemented in 1997 as a collaborative food composition research effort between the National Institute of Health (NIH) and the US Department of Agriculture (USDA) to secure reliable estimates for the nutrient content of food and beverages consumed by the US population. Selected supermarkets for selecting representative food samples are Emart Kayang, Homeplus Siheung, Lottemart Dongducheon, Emart Suwon, Lottemart Dunsan, Lottemart Yeosu, Emart Ulsan, and Hanaroclub Ulsan. Selected local markets also are Doksandongusijang in Geumcheon-gu and Pungnapsijang in Songpa-gu, Seoul, Ilsansijang in Ilsanseo-gu, Goyang, Unamsijang in Buk-gu, Gwangju, Beopdongsijang in Daedeok-gu, Daejeon, Bongnaesijang in Yeongdo-gu and Jwadongjaeraesijang in Haeundae-gu, Busan, and Jungangsijang in Jinhae-gu, Changwon.