• 우주기술과 응용
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• 제3권3호
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• pp.213-228
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• 2023

무인 탐사로버는 지구가 아닌 타 행성체에서 인간을 대신해 광물자원의 조사와 채굴 또는 여러 가지 과학 미션을 진행하는 도구로써 사용되고 있다. 최근에는 미국이 아닌 일본, 인도, 중국 등 여러 국가에서 우주개발을 위한 무인 행성 탐사로버의 개발을 시도하거나 실제 타 행성체에서 주행에 성공하는 사례가 생기며 우주로 향한 개발열풍이 가속화되고 있다. 하지만 여전히 행성을 탐사하기 위한 무인 로버의 개발과 운용은 천문학적인 비용이 수반되는 위험도가 높은 계획이며, 국가나 정부차원의 주도가 아닌 대학 또는 기업에서 독자적으로 개발을 시도하기에는 현실적인 제약이 크게 따른다. 본 논문에서는 기존의 큐브위성의 개념과 정의를 계승한 큐브로버와 (초)소형 로버의 최근 개발동향을 소개하고 큐브로버 개발의 필요성과 함께 현재 진행되고 있는 행성탐사 사례를 들어 큐브로버의 가능성과 기대사항을 소개하고자 한다.

• 우주기술과 응용
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• 제4권2호
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• pp.169-183
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• 2024

한국천문연구원은 인공위성 정밀 궤도 결정, 우주 감시, 우주 측지 등 과학 연구 및 국가적 우주 미션을 수행하기 위해 거창 SLR(satellite laser ranging) 시스템을 개발하였다. 시스템을 구성하는 여러 서브시스템 중 하나인 운영 시스템은 다른 서브시스템을 제어하고 관측 알고리즘을 기반으로 수동 및 자동 관측 모드를 제공하여, 지상에서 인공위성까지의 거리를 계산하는 소프트웨어로써 네트워크 기반의 서버와 클라이언트 방식으로 개발되었다. 본 연구에서는 운영 시스템의 요구사항을 분석하고, 서버 및 클라이언트 통신을 위한 개발환경, 소프트웨어 구조 및 관측 알고리즘을 기술한다. 그리고 개발된 운영 시스템을 이용하여 지상보정 및 측지 전용 인공위성 STARLETTE에 대한 레이저 추적을 통해 취득한 관측 데이터를 처리하여 ILRS(international laser ranging service) 국제기구에서 배포한 전 세계 SLR 관측소와 거리측정 정밀도를 비교 분석하였다.

• Genomics & Informatics
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• 제12권1호
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• pp.21-34
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• 2014

A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing large and complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as an interactive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizing it in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, we have developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patient population in the similarity space to the detailed views of genes. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. We demonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.

• 천문학회지
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• 제34권1호
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• pp.47-57
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• 2001

In this paper we have reconstructed an armillary sphere based on the Method of an Armillary Sphere Making described in the Volume 1 of The Collection of Writings on the Scientific Instruments-Uigijipsol (儀器輯說, two volumes) edited in the 1850's by Nam Byong-Chul (南秉哲, 1817-1863) who was a famous Korean states-man-scientist. Nam achieved convenience and accuracy in the measurements of stellar positions in the manner of selective setting the equatorial, ecliptic and horizontal poles by adding a pole axis exchange ring called Jaigeukkwon (載極圈) between the Three Arrangers of Time and Four Displacements. We made use of 3-dimensional graphic software for modelling Nam's armillary sphere which consisted of five layers-eight rings. Results of simulation showed that the pole axis exchange ring functioned properly in setting the equatorial, ecliptic and horizontal coordinates simply by exchange of positions of specified holes on the ring. We ascertained that the invention of Jaigeukkwon solved inherent problems in the conventional Chinese armillary sphere in computation of real ecliptic coordinates. It was revealed that Nam Byong-Chul made great contributions in the East Asian history of armillary sphere making.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1673-1688
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• 2020

This paper presents a new method for improving teaching aids with the design and development of a chemistry education platform - the Mixed Reality (MR) Chemistry Lab. Our system provides a new educational experience in which students can simulate a chemistry experiment in a virtual lab and interact with objects using Oculus Helmet-Mounted Displays (HMD) and hand controller devices. The proposed system aims to familiarize students with experimental procedures and safety knowledge before conducting actual experiments. Moreover, students will be able to observe microscopic atomic structure models in three dimensions. Our research also includes a five-part, quantitative evaluation system user tests perform using a quantitative questionnaire consisting of five items, including hardware equipment, immersion, education, interaction sense of control, and degree of difficulty. The evaluation results confirm that this system will be helpful to the educational experience of conducting chemistry experiments with scientific evaluation methods, and the proposed system is also expected to have a broad range of applications in many other subjects.

• 한국측량학회지
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• 제35권5호
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• pp.423-430
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• 2017

Recently, data analysis research has been carried out using the deep learning technique in various fields such as image interpretation and/or classification. Various types of algorithms are being developed for many applications. In this paper, we propose a precipitation prediction algorithm based on deep learning with high accuracy in order to take care of the possible severe damage caused by climate change. Since the geographical and seasonal characteristics of Korea are clearly distinct, the meteorological factors have repetitive patterns in a time series. Since the LSTM (Long Short-Term Memory) is a powerful algorithm for consecutive data, it was used to predict precipitation in this study. For the numerical test, we calculated the PWV (Precipitable Water Vapor) based on the tropospheric delay of the GNSS (Global Navigation Satellite System) signals, and then applied the deep learning technique to the precipitation prediction. The GNSS data was processed by scientific software with the troposphere model of Saastamoinen and the Niell mapping function. The RMSE (Root Mean Squared Error) of the precipitation prediction based on LSTM performs better than that of ANN (Artificial Neural Network). By adding GNSS-based PWV as a feature, the over-fitting that is a latent problem of deep learning was prevented considerably as discussed in this study.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1071-1071
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• 2001

Near-infrared spectroscopy (NIRS) is potentially a powerful and revolutionary technology for environmental analysis. It is supported by a large body of scientific and experiential knowledge. The instrumentation is well-developed, with easy-to-use, highly dependable instruments, but at the same time it is still developing, particularly with the production of more portable and rapid instruments, and more powerful software. NIRS is used globally in numerous industries for commodity analysis. Yet NIRS is largely unknown in the field of environmental chemistry and monitoring, and is not even routinely used in soil analysis, where the research literature on NIRS extends over four decades. Part of the explanation for the poor visibility of NIRS is the fact that NIRS is not routinely taught in Chemistry programs in universities, where most environmental chemists and environmental technicians are trained. This presentation examines the unique capabilities of NIRS, such as rapid, real-time analysis; analysis of whole samples; simultaneous analysis of multiple constituents; cost-effectiveness, and portability, as they match needs for analysis in several environmental areas. Examples of NIRS usage and published and unpublished results will be described for such areas as soil and sediment analysis; water quality monitoring; and nutrient loading in application of manures and sewage sludge (biosolids) to land. Present barriers to the use of NIRS in environmental analysis will be discussed. It is argued that emerging environmental problems and increasing attention to some traditional problems will enhance the application of NIRS in the future.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권11호
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• pp.1519-1533
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• 2004

웹 기반의 학술분야 전문 검색 시스템은 사용자의 정보 요구 표현을 극히 제한적으로 허용함으로써 검색된 정보의 내용 분석과 정보 습득의 과정이 일관되지 못해 무분별한 정보 제공이 이루어진다. 본 논문에서는 용어의 상대적인 중요 정도를 축소용어 집합으로 구성하여 검색 시스템의 높은 시간 복잡도를 해결할 수 있도록 퍼지 검색 모델을 적용하였다. 또한 퍼지 호환관계의 특성을 만족하는 유사관계 행렬을 통해 사용자 질의를 정확하게 반영할 수 있도록 클러스터 검색을 수행하였다. 본 논문에서 제안한 퍼지 검색과 문서 클러스터 검색의 유사도 결합을 통한 순위 재조정 검색 모델은 검색 성능을 표현하는 정확률과 재현율 척도에서 향상됨을 입증하였다.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.261-270
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• 2019

The study examines the relationship between perceived mental benefits, online trust, and personal information disclosure when shopping online in Vietnam. The e-commerce market has been booming in Vietnam since 2015. The number of online transactions and e-commerce sites has increased steadily in recent years. However, the number of online sales in Vietnam is still not high, and consumers are still limited in buying from websites when they have to provide too much information during and after the shopping process. The mix-method is used to ensure the scientific nature of the study. Qualitative research method (phenomenological research) along with the quantitative research method (survey) are applied to meet the research objectives. The data in the study was collected through the group discussion with eight experts and the survey with 917 respondents. Data processing result via SmartPLS software indicate the positive relationships between the factors in the research. The perceived mental benefits have the most potent influence on the online trust of Vietnamese customers; at the same time, both the perceived mental benefits and online trust affect customers personal information disclosure in electronic commerce. Some managerial implications relating increasing the perceived mental benefits, and customers' online trust are proposed for online businesses.

• Journal of Multimedia Information System
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• 제5권1호
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• pp.27-34
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• 2018

In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer new technologies were studied. Additionally, we have been studied the use of various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, the storage, the management, the processing, and the analysis of large volumes of data. The simulation platform which have been used for our research is CloudSim, which runs on Eclipse software. Thus, after measuring the network performance with CloudSim, we also use the Cooja emulator of the Contiki OS, with the aim to confirm and access more metrics and options. More specifically, we have implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of our experimental procedure show that there are not duplicated packets received during the procedure. This research could be a start point for better and more efficient media data transmission.