• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 추계종합학술대회
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• pp.761-764
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• 2001

대양을 운항하는 선박에 해양환경정보를 제공하기 위한 MEIS(Marine Environmental Information System)의 개념설계를 수행하였다. MEIS는 해양환경 원시정보의 원격 취득시스템과 이를 가공하여 선박운항에 유용한 정보를 추출하는 처리시스템으로 구성되며, 정보의 전송을 위해 위성통신을 이용한다. 취득시스템 효율성은 활용하는 원격 해양정보의 양과 시간적 신속성에 좌우되며, 처리시스템의 효율성은 환경정보 해석기술의 다양성과 우수성에 의해 결정된다.

• Genomics & Informatics
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• 제11권4호
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• pp.191-199
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• 2013

High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification.

• 수산경영론집
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• 제48권2호
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• pp.53-66
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• 2017

More than 90% of cultured fish is consumed by sliced raw fish which is usually an eating out menu in South Korea. In order to develop the aquaculture industry in Korea, It is very important to know whether consumers can differentiate each species or not and how consumers recognize each species by certain criteria. for example taste, seasonal preference. The purpose of this study is to understand the competitive relationship through positioning studies of each species by the selection attributes. A total of 221 consumers were surveyed in korea. This study adapted multidimensional scaling(MDS) analysis to explore how consumers position sliced raw fish species based on selection attributes. This study has produced perceptual maps of sliced raw fish market. Empirical data was collected from sliced raw fish consumers in Korea. The results of MDS analysis reveal that 7 species are divided into 3 groups(flat fish, black rock fish), (red sea bream, salmon, tuna), (sea bass, gray mullet). In this study flat fish and black rock fish are perceived as safe, familiar, good value species. Red seabream, salmon, tuna are perceived as luxurious species. Sea bass and gray mullet are perceived as unfamiliar species.

• 동의생리병리학회지
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• 제36권2호
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• pp.66-72
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• 2022

Flos Lonicerae Japonicae (the flower buds of Lonicera japonica Thunberg) has been used as an antibacterial and antiviral drug in Korean Medicine. The aim of this study is to evaluate the effect of Flos Lonicerae Japonicae water extract (FL) on the production of cytokines in RAW 264.7 mouse macrophages stimulated by lipopolysaccharide (LPS). After 24 h treatment, the production of various cytokines from RAW 264.7 was measured with multiplex cytokine assay using Bio-Plex 200 suspension array system. FL at concentrations of 50, 100, and 200 ㎍/mL significantly inhibited productions of tumor necrosis factor-α, macrophage inflammatory protein (MIP)-1β, and MIP-2 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 100 and 200 ㎍/mL significantly inhibited productions of leukemia inhibitory factor, LIX (CXCL5), and RANTES in LPS-stimulated RAW 264.7 cells; FL at concentrations of 200 ㎍/mL significantly inhibited productions of granulocyte-macrophage colony-stimulating factor and macrophage colony-stimulating factor in LPS-stimulated RAW 264.7 cells; FL at concentrations of 50 and 100 ㎍/mL significantly increased productions of interleukin (IL)-10 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 50, 100, and 200 ㎍/mL significantly increased productions of IL-6 and interferon gamma-induced protein-10 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 100 and 200 ㎍/mL significantly increased productions of monocyte chemoattractant protein-1 in LPS-stimulated RAW 264.7 cells. Taken together, these data mean that FL might modulate productions of cytokines, chemokines, and growth factor in LPS-stimulated macrophages. Further study needs to verify the exact mechanism for modulatory activities of FL with macrophages.

• 대한본초학회지
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• 제37권6호
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• pp.19-28
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• 2022

Objectives : To develop natural ingredients that help prevent or treat anti-inflammatory-related diseases and use themas basic data, we investigated anti-inflammatory activity of Cynanchi Atrati Radix Et Rhizoma water extracts(CWE) in lipopolysaccharide(LPS)-induced murine macrophage cell line, RAW 264.7 cells. Methods : The cell viabilities were evaluated with RAW 264.7 cells. The production of nitric oxide(NO), prostaglandin E2(PGE2), pro-inflammatory cytokines such tumor necrotic factor(TNF)-α and interleukin(IL)-6 were assessed in LPS-induced RAW 264.7 cell treated with CWE. Furthermore, the protein expression of inducible nitric oxide synthase (iNOS), cyclooxygenase-2(COX-2), and mitogen-activated protein kinase(MAPK) were assessed by western blotting. Results : In RAW 264.7 cell, the cell viability by CWE treatment was more than 98.4% at a concentration of 100-400 ㎍/mL. At a concentration of 800 ug/ml of CWE, the cell viability was as low as 86%. At doses of 100, 200 and 400 ㎍/mL, CWE inhibited the production of NO, PGE2, TNF-𝛼 and IL-6 in a dose-dependent manner and also decreased the expression of iNOS and COX-2 from LPS-induced RAW 264.7 cells. In addition, CWE significantly inhibited the MAPK pathway including decreased the phosphorylation of the p38, c-Jun N-terminal kinase(JNK) and extracellular signal-regulated kinase(ERK1/2). Conclusions : Our study provides evidence that CWE inhibits the production of main pro-inflammatory molecules in LPS-induced RAW 264.7 cells via expression of p38, JNK, and ERK1/2 MAPK signaling pathways. Therefore, CWE is expected to be widely used as a natural ingredient for anti-inflammatory functional foods or pharmaceuticals in the future.

• 한국지리정보학회지
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• 제21권4호
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• pp.132-144
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• 2018

건설, 의료, 컴퓨터 그래픽스, 도시공간 관리 등 다양한 분야에서 3차원 공간정보 모델이 이용되고 있다. 특히 측량 및 공간정보 분야에서는 최근 고품질의 3차원 공간정보와 실내공간정보에 대한 수요가 폭발적으로 증가하고 있으나, 현재 공간정보 데이터가 다양한 형식과 저장구조로 구성되어 관리되고 있어 저비용 고효율의 3차원 공간정보 서비스가 어려운 상황이다. 실제로 활용도 높은 3차원 모델을 구축하기 위한 기술은 관측과 처리에 고액의 비용이 발생하지만, 대부분의 수요처에서는 이러한 고비용의 공간정보 구축에 어려움을 느끼는 경우가 대부분이다. 따라서 본 연구에서는 저비용의 3D 공간정보 모델을 구축하기 위한 효율적인 방안을 제시하는 것을 목적으로 하였다. 현재의 3D 모델의 구축 방법 중 가장 효율적인 방법으로는 기존에 구축되어 있는 Point Cloud, UAV 관측영상 등의 원시데이터를 활용하여 비용을 절감시키는 방법이 있지만, 이는 관리하는 기관이 분리되어 있고 사용하기 위해 요청하는 절차가 복잡하여 활용에 제한이 있었다. 본 연구에서는 이를 해결하기 위해서 도로대장 관리 분야를 대상으로 3D 구축에 필요한 기반데이터를 통합하여 연계하고 관리 할 수 있는 통합관리 시스템 개발을 수행하였으며, 다양한 형태의 원시자료를 Point Cloud 형식으로 구성하여 도로대장 관리에 적용할 경우 6개의 주요 관리항목을 효과적 구축 및 관리할 수 있을 것으로 판단되었다.

• 한국측량학회지
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• 제26권4호
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• pp.379-386
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• 2008

정확한 지오이드 결정을 위해서는 중력원시자료로부터 통일된 전처리를 수행하여 일관된 품질의 중력자료를 확보하여야 하며 또한 정확한 위치 정보를 이용하여 다양한 보정을 수행하여야 한다. 본 연구에서는 현재 우리나라에서 중력원시자료와 GPS 측량을 통한 정밀한 관측위치를 보유하고 있는 한국지질자원연구원과 부산대학교의 지상중력원시자료를 통합하고, 일관성 있는 품질검증을 수행하여 정밀 지오이드 구축의 기본 자료인 프리에어이상 값을 최종 결과물로 산출하였다. 전처리 과정에서 기계값 환산, 기계고 보정, 조석보정 등을 수행하고, 이상치 검증을 작업별로 처리하였다. 이후, 모든 자료를 이용한 교차점조정계산을 수행하여 정밀도 0.488mGal의 프리에어이상값이 구축되었다. 본 연구에서 구축된 중력자료는5cm급 정밀지오이드 개발의 기초자료로 활용될 것으로 기대된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.305-308
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• 2005

The COMS, Korea's first geostationary multipurpose satellite program will accommodate 3 kind of payloads; Ka-Band communication transponder, GOCI (Geostationary Ocean Color Imager), and MI (Meteorological Imager). MI raw data will be transferred to ground station via L-band link. The ground station will perform image data processing for raw data, generate them into the LRIT/HRIT format, the user dissemination data recommended by the CGMS. The LRIT/HRIT are disseminated via satellite to user stations. This paper shows the COMS LRIT data generation procedure based on COMS LRIT specification and its verification results using the LRIT user station.

• Corrosion Science and Technology
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• 제12권3호
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• pp.142-148
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• 2013

Safety is a major concern in Nuclear Power Plants (NPPs). Piping systems in NPPs are very complex and composed of many components such as tees, elbows, expanders and straight pipes. The high pressure and high temperature water flows inside piping components. As high speed water flows inside piping, the pipe wall thinning occurs in various reasons such as FAC (Flow Accelerated Corrosion), LDIE (Liquid Droplet Impingement Erosion) and Flashing. To inspect the wall thinning phenomenon and protect the piping from damages, piping components are checked by UT measurement in every overhaul. During every overhaul, approximately 200~300 components (40,000~60,000 UT data) are examined in NPPs. There are some methods from EPRI for evaluating wear rate of components. However, only few studies have been conducted to find out the raw data reliability for the wear rate evaluation. Securing the reliable raw data is the key factor for a reasonable evaluation. This paper suggests the reliability analysis method for the repeatedly measured data for wear rate evaluation.

• 대한산업공학회지
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• 제40권1호
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.