• 대한인간공학회지
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• 제33권3호
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• pp.175-189
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• 2014

Objective: The goal of this research is to develop new user behavior model using user motion analysis with microscopic perspective for attracting user's participation in interactive space. Background: The interactive space is 'human's place', which is made up of complex elements of digital virtual space and traditional analog and physical environment based on human-computer interaction system. Human behavior has changed in it at the same time. If the user couldn't make participation in interaction, the purpose of the system is not met, which reduces its effect. Therefore, we need to focus on interactive space that is potential future direction from a new point of view. Method: For this research, we would discuss and study fields of interactive space; (1) finding definition of interactive space and studying background of theory about it. (2) providing base of user behavior model with study of user's context that is to be user information and motion. (3) examining user motion, classify basic motion type and making user participation behavior model in phases. Results: Through this process, user's basic twenty motions which are systematized are taken as a standard for analysis of interaction process and participation in interactive space. Then, 'NK-$I^5$ (I Five)' model is developed for user participation types in interactive space. There are five phases of user participation behavior: Imperception, Interest, Involvement, Immersion, and Influence. In this analysis, three indicators which are time, motion types, and user relationship are found to be related to participation. Conclusion: The capabilities and limitation of this research is discussed to attract user participation. This paper focuses especially on contribution of design to lead user's participation in interactive system and expectation to help adapt to user centered design of various interactive space with new aspect of user behavior research. Application: The results of the 'NK-$I^5$ (I Five)' model might help to realize successful interactive space based on user centered design.

• 디지털융복합연구
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• 제16권12호
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• pp.563-569
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• 2018

본 논고는 디자인프로세스를 활용한 공간 아이덴티티 개발 모델에 관한 것이다. 연구의 주요 내용은 다음과 같다. 첫째, 디자인프로세스의 개념을 정의하고 그 외에 다양한 디자인프로세스 모델을 연구하였다. 둘째, 공간 디자인프로세스의 의미에 대해 연구하고 개념 정의를 하였다. 셋째, 공간 아이덴티티 개발을 위한 공간디자인프로세스 개념 모델을 연구 개발하였다. 마지막으로 복합적이고 다양한 형태의 공간에 디자인프로세스를 적용해 공간 아이덴티티를 정의할 수 있는 개념모델을 연구해 제시하였다. 본 연구는 디자인프로세스와 공간 아이덴티티에 대한 연구를 위해 관련 문헌 조사 및 다양한 이론적 고찰 등 실증주의적 연구 방법을 적용하였다. 또한 공간디자인프로세스에 대한 연구는 선행 연구 자료들을 바탕으로 한 간접적인 조사방법을 채택하였다. 본 연구의 목적은 디자인프로세스의 다양한 모델들을 분석해 공간디자인 아이덴티티를 개발하는 방법과 적용 범위를 연구하는데 있다.

• 인터넷정보학회논문지
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• 제5권2호
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• pp.1-15
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• 2004

현재의 인터넷 공간은 소위 유비쿼터스 공간으로 진화해 가고 있다. 인터넷 공간과는 달리, 유비쿼터스 공간에서는 정보가 컴퓨터 메모리, 인간의 두뇌 그리고 물리적 사물에 골고루 분포하게 된다. ‘하이퍼텍스트’ 는 컴퓨터 메모리(즉, 전자 공간)를 전제로 한 정보 연결 모델로, 유비쿼터스 공간에는 잘 맞지 않는다. 이점에 착안하여, 본 논문에서는 CPM모델을 제안하였다. CPM 모델은 아날로그 컴퓨팅, 디지털 컴퓨팅, 휴먼 컴퓨팅 등 세 가지 연산 메커니즘을 포괄할 수 있도록 설계되었다. 본 논문에서는, CPM 모델이 갖는 이러한 속성이 유비쿼터스 공간에서의 정보 연결 목적에 부합됨을 보였다.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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• pp.48.1-48.1
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• 2009

In recent years, many candidates for extra-solar planet have been discovered from various measurement techniques. Fueled by such discoveries, new space missions for direct detection of earth-like planets have been proposed and actively studied. TPF instrument is a fair example of such scientific endeavors. One of the many technical problems that space missions such as TPF would need to solve is deconvolution of the collapsed (i.e. spatially and temporally) spectral signal arriving at the detector surface and the deconvolution computation may fall into a local minimum solution, instead of the global minimum solution, in the optimization process, yielding mis-interpretation of the spectral signal from the potential earth-like planets. To this extend, observational and theoretical understanding on the spectral bio-signal from the Earth serves as the key reference datum for the accurate interpretation of the planetary bio-signatures from other star systems. In this study, we present ray tracing computational model for the on-going simulation study on the Earth bio-signatures. A multi-layered atmospheric model and sea ice variation model were added to the existing target Earth model and a hypothetical space instrument (called AmonRa) observed the spectral bio-signals of the model Earth from the L1 halo orbit. The resulting spectrums of the Earth show well known "red-edge" spectrums as well as key molecular absorption lines important to harbor life forms. The model details, computational process and the resulting bio-signatures are presented together with implications to the future study direction.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2008년 추계학술발표대회 논문집
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• pp.188-192
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• 2008

The Purpose of this paper is to analyze of community space of high-rise housing as a basic research towards developing a model of spacial convergence. For this, 10 cases of high-rise housing complexes are compiled. Research methods are as follows. First, through the analysis of 10 high-rise housing complexes, the types of community space program are categorized by concepts. Second, community space plans are analyzed by floor. The results of this study are summarized as follows. First, through the analysis of 10 cases, the types of community space program are classified 8 categories : Culture, Health, Leisure, Education, Life-style Assistance, Business Assistance, Open Space, Commercial Facility. Second, community space plans are arranged at the lower floor of the building at a high ratio. Third, the types of convergence model for community programs are suggested by 4 categories : Human, Time, Experience, Local Community. Fourth, community space configuration is categorized by 4 types.

• 정보기술과데이타베이스저널
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• 제3권2호
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• pp.75-96
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• 1996

This study is intended to compare the effectiveness of the neural network inductive learning model with a vector space model in information retrieval. As a result, searches responding to incomplete queries in the neural network inductive learning model produced a higher precision and recall as compared with searches responding to complete queries in the vector space model. The results show that the hybrid methodology of integrating an inductive learning technique with the neural network model can help solve information retrieval problems that are the results of inconsistent indexing and incomplete queries--problems that have plagued information retrieval effectiveness.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2011년도 한국우주과학회보 제20권1호
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• pp.28.2-28.2
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• 2011

Coronal Mass Ejections (CMEs) are enormous eruptions of plasma ejected from the Sun into interplanetary space, and mainly responsible for geomagnetic storms and solar energetic particle events. It is very important to infer their direction of propagation, speed and their 3-dimensional configurations in terms of space weather forecast. Two STEREO satellites provide us with 3-dimensional stereoscopic measurements. Using the STEREO observations, we can determine the 3-dimensional structure and radial velocity of the CME. In this study, we applied three different methods to the 2008 April 26 event: (1) Ice cream Cone Model by Xue (2005) using the SOHO/LASCO data, (2) Flux rope model by Thernisien (2009) using the STEREO/SECCHI data, (3) Flux rope model with zero angle using the STEREO/SECCHI data. The last method in which separation angle of flux rope is zero, is similar to the ice cream cone model morphologically. The comparison shows that the radial speeds from three methods are estimated to be about 750km/s and are within ${\pm}120km/s$. We will extend this comparison to other CMEs observed by STEREO and SOHO/LASCO.

• 한국공간구조학회논문집
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• 제1권2호
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• pp.59-66
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• 2001

This paper describes three modules for development of the Space Frame Integrated Design System(SFIDS). The Control Module is implemented to control the developed system. The Model Generation Module based on PATRAN user interface enables users to generate a complicated finite element model for space frame structures. The Optimum Design Module base on a branch of combinatorial optimization techniques which can realize the optimization of a structure having a large number of members designs optimum members of a space frame after evaluating analysis results. The Control Module and the Model Generation Module Is implemented by PATRAN Command Language(PCL) while C++ language is used in the Optimum Design Module. The core of the system is PATRAN database, in which the Model Generation Module creates information of a finite element model. Then, PATRAN creates Input files needed for the analysis program from the information of the finite element model in the database, and in turn, imports output results of analysis program to the database. Finally, the Optimum Design Module processes member grouping of a space frame based on the output results, and performs optimal member selection of a space frame. This process is repeated until the desired optimum structural members are obtained.

• Communications for Statistical Applications and Methods
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• 제29권6호
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• pp.695-708
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• 2022

Recently, several studies have been conducted using state space model. In this study, a dynamic linear model with state space model form is applied to stock data. The monthly returns for 135 Korean stocks are fitted to a dynamic linear model, to obtain an estimate of the time-varying 𝛽-coefficient time-series. The model formula used for the return is a capital asset pricing model formula explained in economics. In particular, the transition equation of the state space model form is appropriately modified to satisfy the assumptions of the error term. k-shape clustering is performed to classify the 135 estimated 𝛽 time-series into several groups. As a result of the clustering, four clusters are obtained, each consisting of approximately 30 stocks. It is found that the distribution is different for each group, so that it is well grouped to have its own characteristics. In addition, a common pattern is observed for each group, which could be interpreted appropriately.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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• pp.33.2-33.2
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• 2008

Korea Astronomy and Space Science Institute (KASI) is developing an empirical model for Korean Space Weather Prediction Center (KSWPC). This model predicts the geomagnetic storm strength (Dst minimum) by using only CME parameters, such as the source location (L), speed (V), earthward direction (D), and magnetic field orientation of an overlaying potential field at CME source region. To derive an empirical formula, we considered that (1) the direction parameter has best correlation with the storm strength (2) west $15^{\circ}$ offset from the central meridian gives best correlation between the source location and the storm strength (3) consideration of two groups of CMEs according to their magnetic field orientation (southward or northward) provide better forecast. In this talk, we introduce current status of the empirical storm prediction model development.