• International Journal of Knowledge Content Development & Technology
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• 제8권1호
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• pp.25-36
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• 2018

Research data must be testable. Science is all about verification and testing. To make data testable, tools used to produce, collect, and examine data during the research must be available. Quite often, however, these data become inaccessible once the work is over and the results being published. Hence, information and the related context must be provided on how research data are preserved and how they can be reproduced. Open Science is the international movement for making scientific research data properly accessible for research community. One of its major goals is building data repositories to foster wide dissemination of open data. The objectives of this research are to examine the features of research data, common repository platforms, and community requests for the purpose of designing functional requirements for research data repositories. To analyze the features of the research data, we use data curation profiles available from the Data Curation Center of the Purdue University, USA. For common repository platforms we examine Fedora Commons, iRODS, DataONE, Dataverse, Open Science Data Cloud (OSDC), and Figshare. We also analyze the requests from research community. To design a technical solution that would meet public needs for data accessibility and sharing, we take the requirements of RDA Repository Interest Group and the requests for the DataNest Community Platform developed by the Korea Institute of Science and Technology Information (KISTI). As a result, we particularize 75 requirement items grouped into 13 categories (metadata; identifiers; authentication and permission management; data access, policy support; publication; submission/ingest/management, data configuration, location; integration, preservation and sustainability, user interface; data and product quality). We hope that functional requirements set down in this study will be of help to organizations that consider deploying or designing data repositories.

• Journal of the Korean Statistical Society
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• 제35권4호
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• pp.377-395
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• 2006

In this paper we have suggested a family of chain estimators of the population mean $\bar{Y}$ of a study variate y using two auxiliary variates in two phase (double) sampling assuming that the coefficient of variation of the second auxiliary variable is known. It is well known that chain estimators are traditionally formulated when the population mean $\bar{X}_1$ of one of the two auxiliary variables, say $x_1$, is not known but the population mean $\bar{X}_2$ of the other auxiliary variate $x_2$ is available and $x_1$ has higher degree of positive correlation with the study variate y than $x_2$ has with y, $x_2$ being closely related to $x_1$. Here the classes are constructed when the population mean $\bar{X}_1\;of\;X_1$ is not known and the coefficient of variation $C_{x2}\;of\;X_2$ is known instead of population mean $\bar{X}_2$. Asymptotic expressions for the bias and mean square error (MSE) of the suggested family have been obtained. An asymptotic optimum estimator (AOE) is also identified with its MSE formula. The optimum sample sizes of the preliminary and final samples have been derived under a linear cost function. An empirical study has been carried out to show the superiority of the constructed estimator over others.

• Journal of Ecology and Environment
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• 제34권2호
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• pp.149-156
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• 2011

Phenological variables derived from remote sensing are useful in determining the seasonal cycles of ecosystems in a changing climate. Satellite remote sensing imagery is useful for the spatial continuous monitoring of vegetation phenology across broad regions; however, its applications are substantially constrained by atmospheric disturbances such as clouds, dusts, and aerosols. By way of contrast, a tower-based ground remote sensing approach at the canopy level can provide continuous information on canopy phenology at finer spatial and temporal scales, regardless of atmospheric conditions. In this study, a tower-based ground remote sensing system, called the "Phenological Eyes Network (PEN)", which was installed at the Gwangneung Deciduous KoFlux (GDK) flux tower site in Korea was introduced, and daily phenological progressions at the canopy level were assessed using ratios of red, green, and blue (RGB) spectral reflectances obtained by the PEN system. The PEN system at the GDK site consists of an automatic-capturing digital fisheye camera and a hemi-spherical spectroradiometer, and monitors stand canopy phenology on an hourly basis. RGB data analyses conducted between late March and early December in 2009 revealed that the 2G_RB (i.e., 2G - R - B) index was lower than the G/R (i.e., G divided by R) index during the off-growing season, owing to the effects of surface reflectance, including soil and snow effects. The results of comparisons between the daily PEN-obtained RGB ratios and daily moderate-resolution imaging spectroradiometer (MODIS)-driven vegetation indices demonstrate that ground remote sensing data, including the PEN data, can help to improve cloud-contaminated satellite remote sensing imagery.

• 천문학회보
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• 제40권2호
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• pp.52.2-52.2
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• 2015

SgrA* located in the center of the Milky Way is of great interest to understand the physics of supermassive black hole(SMBH) and the interaction of the G2 cloud around SgrA* with the accretion flow which was expected since 2013. In order to seize this rare opportunity, KVN and VERA Array (so called, KaVA) has started an intensive monitoring program of SgrA* at 22/43 GHz where scatter broadening is reduced compared to lower frequency VLBI observations. We present the results of KaVA SgrA* observation together with Takahagi (32m) and Yamaguchi (32m) telescopes at 22 GHz on March 24, 2013. We have tested both a standard amplitude calibration methods using the Tsys and antenna gain information and a template amplitude calibration method which uses a peak of H2O maser line of nearby maser source (SgrB2), and found that the latter method is useful when an accuracy of Tsys measurement or antenna gain of a telescope is poor. In our comparison, the difference between the two methods is around 20% (~5% for the KVN and ~15% for the VERA when the elevation is above $20^{\circ}$). We also imaged SgrA* with a total flux of ~0.7 Jy at 22GHz, and fitted an elliptical Gaussian model which has a size of ~2.5mas for major axis and ~1.7mas for minor axis, respectively.

• 패션비즈니스
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• 제20권6호
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• pp.79-93
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• 2016

Since the development of patterns using tessellation is applied to a wide range of fields such as clothing, architecture, environment, and products, etc. and its expression principle is also found in various fields such as mathematics and science, etc. However, this pattern is mostly used as a math material with little studies on fashion and culture. In addition, it is thought that Korean traditional culture products need more various and modern design development methods and pattern through preliminary investigation which is simple copy of traditional items, simple copy of Korean Alphabet, Chinese character, and folk paintings. Therefore, it will present the method to make more design cases using Tessellation. Tessellation that combines mathematics and art will be the infinite form of designing of designers as well as creative training way to understand the composition principles of old culture and to raise sense of modern design. Tessellation of regular triangle, regular square, and regular hexagon was performed on the patterns which have meaning of wealth and prosperity of Korean traditional patterns. As the concrete method, first, each side of the regular triangle is developed symmetrically with patterns of fish, turtle, and cicadas. Second, rotational movement after symmetry movement about middle point of one side ${\times}$ 1 symmetry movement about middle point ${\times}$ 1 using crane and cloud, of the regular triangle was performed. Third, the regular square was tessellated parallel movement ${\times}$ 2 with "Da(multi)" and dragon pattern as the source image. Fourth, the sitting tiger was tessellated with symmetry movement about middle point ${\times}$ 2 and parallel movement ${\times}$ 1. Fifth, three bat patterns are tessellated by again rotational movement of two sides after rotational movement of one side and rotational movement of the other side. In addition, It developed traditional culture product design of the scarf, umbrella, aprons, neckties.

• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.577-582
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• 2011

EMR(Electronic Medical Record) is an emerging technology that is highly-blended between non-IT and IT area. One of methodology to link non-IT and IT area is to construct databases. Nowadays, it supports before and after-treatment for patients and should satisfy all stakeholders such as practitioners, nurses, researchers, administrators and financial department and so on. In accordance with the database maintenance, DAS (Data as Service) model is one solution for outsourcing. However, there are some scalability and strategy issues when we need to plan to use DAS model properly. We constructed three kinds of databases such as plain-text, MS built-in encryption which is in-house model and custom AES (Advanced Encryption Standard) - DAS model scaling from 5K to 2560K records. To perform custom AES-DAS better, we also devised Bucket Index using Bloom Filter. The simulation showed the response times arithmetically increased in the beginning but after a certain threshold, exponentially increased in the end. In conclusion, if the database model is close to in-house model, then vendor technology is a good way to perform and get query response times in a consistent manner. If the model is DAS model, it is easy to outsource the database, however, some technique like Bucket Index enhances its utilization. To get faster query response times, designing database such as consideration of the field type is also important. This study suggests cloud computing would be a next DAS model to satisfy the scalability and the security issues.

• 대한원격탐사학회지
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• 제28권1호
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• pp.29-38
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• 2012

국내외를 막론하고 현재 대부분의 위성영상 정보처리는 클라이언트 기반 소프트웨어나 관련 시스템을 기반으로 한다. 그러나 정보기술 분야에서는 이미 웹 기반 활용 시스템이 보편화되고 더 나아가 클라우드 시스템으로 급격히 발전하고 있다. 위성영상정보 분야에서도 이러한 환경 변화에 대한 대응이 필요한 시점이다. 특히 공간자료에서 도출되는 콘텐츠 서비스와 이를 위한 대용량 정보의 공유 및 배포가 웹으로 이루어지기 때문에 원격탐사 분야에서도 웹 기반 시스템을 적용하는 경우가 있지만 이를 보다 확장할 필요성이 있다. 본 연구에서는 SAR 자료에 대한 관심이 증가하고 있는 현 상황을 반영하여 웹 기반으로 이러한 자료와 관련 정보를 처리 할 수 있는 시스템을 연구하고자 한다. 우선적으로는 웹 환경에서 SAR 자료를 다루는 기존 사례를 조사하였다. 조사한 결과를 분석한 뒤 웹 기반 SAR 자료 처리 과정 중에서 다양한 활용 분야에 직접 적용할 수 있는 InSAR 정보처리에 주안점을 두고 이를 위한 세부 기술이나 모듈을 구현하였다. 웹 기반 SAR 정보 처리 시스템의 개발 가능성을 제시하면서 설계 과정에서는 확장성을 고려하여 HTML5를 적용하였다. 이러한 시도는 실제 위성영상정보의 웹 기반 정보 처리 가능성을 제시하고, 향후 웹 기반 위성영상정보 처리 분석 시스템의 기초 연구가 될 것으로 생각한다.

• 한국측량학회지
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• 제29권5호
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• pp.459-469
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• 2011

객체의 형상을 결정할 수 있는 요소는 크기, 경사도와 경사방향, 곡률, 기복변화, 요소간의 특성관계, 선 또는 면이 이루는 각, 특징점의 분포형태 등 매우 다양하다. 객체가 존재하는 공간은 3차원이지만 대부분의 경우 2차원 공간상에서 객체를 표현하고 이를 기반으로 객체인식을 수행하고 있다. 본 연구에서는 3차원 공간에서 객체의 형태를 판단하기 위한 방법을 제안하기 위하여 기존의 체인코드를 3차원으로 확장시켜 큐브형태의 연산자의 적용을 수행하였다. 일련의 코드로 생성되는 3D 체인코드를 분석하여 객체를 정형화하여 하향식 방법에 의한 객체 모델링의 기반이 될 수 있음을 보여 주었다. 또한 점 데이터 분할에 적용할 수 있으며 이는 라이다 데이터에 의한 모델링에 사용될 수 있다.

• Wind and Structures
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• 제20권6호
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• pp.739-749
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• 2015

Field measurement of wind characteristics is of great significance for the wind engineering community. High-frequency anemometers such as ultrasonic anemometers are widely used to obtain the high-frequency fluctuating wind speed time history. However, conventional instrumentation systems may suffer from low efficiency, non-real time transmission and higher maintenance cost, and thus are not very appropriate in the field measurement of strong winds in remote areas such as mountain valleys. In order to improve the field measurement performance in those remote areas, a wireless high-frequency anemometer instrumentation system for field measurement has been developed. In this paper, the architecture of the proposed instrumentation system, and measured data transmission and treatment will be presented firstly. Then a comparison among existing instrumentation systems and the proposed one is made. It shows that the newly-developed system has considerable advantages. Furthermore, the application of this system to the bridge site located in the mountain valley is discussed. Finally, typical samples of measured data from this area are presented. It can be expected that the proposed system has a great application potential in the wind field measurement for remote areas such as the mountainous or island or coastal area, and hazardous structures such as ultra-voltage transmission tower, due to its real-time transmission, low cost and no manual collection of data and convenience.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제23권3호
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• pp.171-176
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• 2017

최근, 효율적인 위성자료처리시스템의 개발을 위해 고성능 컴퓨팅, 클라우스 서비스, 데브옵스 방법론 등의 정보기술(information technology; IT)을 활용하는 연구가 활발히 진행되고 있다. 해양의 장단기 변화를 관측하여 해양재해 재난 예측 및 어장환경 관리를 지원하기 위해 정지궤도해양관측위성-II(Geostationary Ocean Color Imager II; GOCI-II)이 2019년 3월 발사될 예정이며, 자료 수신/처리/저장/배포를 위한 지상시스템(GOCI-II Ground Segment; G2GS)이 해양위성센터에서 설계되고 있다. G2GS는 자료수신(data acquisition subsystem; DAS), 자료보정(data correction subsystem; DCS), 정밀보정(precision correction subsystem; PCS), 자료처리(ocean data processing subsystem; ODPS), 자료관리(data management subsystem; DMS), 운영및품질관리(operation & quality management subsystem ; OQMS) 등 6개의 서브시스템으로 구성되어 있다. G2GS를 이용하여 GOCI-II로부터 생산된 해양 분석 자료를 유관기관 및 일반 사용자에게 실시간으로 제공할 수 있을 것이라 기대하고 있다.