• 로봇학회논문지
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• 제4권3호
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• pp.210-217
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• 2009

This paper introduces a design of multi-dimensional complex emotional model for various complex emotional expression. It is a novel approach to design an emotional model by comparison with conventional emotional model which used a three-dimensional emotional space with some problems; the discontinuity of emotions, the simple emotional expression, and the necessity of re-designing the emotional model for each robot. To solve these problems, we have designed an emotional model. It uses a multi-dimensional emotional space for the continuity of emotion. A linear model design is used for reusability of the emotional model. It has the personality for various emotional results although it gets same inputs. To demonstrate the effectiveness of our model, we have tested with a human friendly robot.

• Spatial Information Research
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• 제19권5호
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• pp.75-86
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• 2011

실세계의 도시에 대한 3차원 모델링은 도시계획과 의사결정을 하기 위하여 필수적인 작업이다. 또한 무선인터넷 발달과 함께 이용자의 위치를 파악하여 정보를 제공하는 위치기반서비스에 대한 소비자 증가로 많은 3차원 도시모델이 개발되고 있다. 특히 우리나라 도심지역의 경우에는 초고층 건물들의 밀집으로 실외뿐만 아니라 실내공간 모델링에 대한 연구가 필요하며, 공간 모델을 통해서 최단경로 등의 공간 분석이 통한 위치기반서비스가 제공될 수 있어야 한다. 지금까지 많은 연구가 진행된 3차원 도시모델들은 피처 모델로, 기본요소들(primitives)을 조합하여 공간을 표현하고, 관계성은 공유하는 기본요소들을 찾아야지만 표현할 수 있기 때문에 복잡한 3차원 공간 객체들 사이에서는 관계성을 정의하기 힘들다. 따라서 최단경로와 같이 공간간의 관계성을 기반으로 도출되는 공간 분석을 하기 위해서는 공간간의 관계성 표현이 필요하다. 본 연구에서는 복잡한 3차원 실내공간간의 관계성을 효율적으로 표현하는 네트워크 기반의 위상학적 데이터 모델인 보행 공간 관계 모델을 개발하였다.

• Journal of the Korean Data and Information Science Society
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• 제17권2호
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• pp.475-486
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• 2006

Space time series data can be viewed either as a set of time series collected simultaneously at a number of spatial locations or as sets of spatial data collected at a number of time points. The major purpose of this article is to formulate a class of space time autoregressive moving average (STARMA) model, to discuss some of the their statistical properties such as model identification approaches, some procedure for estimation and the predictions. For illustration, we apply this STARMA model to the mumps data. The data set of mumps cases consists of the number of cases of mumps reported from twelve states monthly over the years 1969-1988.

• 천문학회보
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• 제36권2호
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• pp.89.2-89.2
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• 2011

The geometry of an MC (magnetic cloud) in the interplanetary space can be estimated by the magnetic flux rope model. But the single point observation in the interplanetary space near the Earth is scanty to comprehend the global configuration of MC because the MC is considered a huge loop extending from the Sun with both legs rooted on the Sun. If the MC is observed at two different locations sufficiently far away from each other, it may provide the global configuration of the MC. In this study, we model the MC which is observed two different locations using a simple straight cylinder model. The MC model fit parameters are the flux rope axis orientation (${\Theta}$, ${\phi}$), the intensity of the magnetic field at the flux rope axis ($B_0$), the radius of the MC ($R_0$), and the impact parameter (p), etc. With the MC model fit parameters we look into the difference between two observed MC geometries and also calculate the magnetic flux and helicity of the MC.

• 천문학회보
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• 제44권2호
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• pp.54.1-54.1
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• 2019

We use iterative smoothing reconstruction method along with exploring in the parameter space of the light curves of the JLA supernova compilation (Joint Light-curve Analysis) to simultaneously reconstruct the expansion history of the universe as well as putting constrains on the light curve parameters without assuming any cosmological model. Our constraints on the light curve parameters of the JLA from our model-independent analysis seems to be closely in agreement with results assuming ΛCDM cosmology or using Chevallier-Polarski-Linder (CPL) parametrization for the equation of state of dark energy. This implies that there is no hidden significant feature in the data that could be neglected by cosmology model assumption. The reconstructed expansion history of the universe and properties of dark energy seems to be in good agreement with expectations of the standard ΛCDM model. Our results also indicate that the data allows a considerable flexibility for expansion history of the universe.

• 한국실내디자인학회논문집
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• 제13권2호
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• pp.184-191
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• 2004

The purpose of this study is to suggest designing goals and directions in the lobby area of obstetric hospitals by constructing a space evaluation structure model, which is made by image evaluation structure model used by SD method and Advanced Repertory Grid Technique. As a result of the image evaluation used by SD method, it turned out 4 factors which are related to recognizing and evaluating the space formativeness, openness, decorativeness, sensitiveness. I found out the relationship between space evaluation structure and the element of interior space. I also suggested detailed designing method based on this relationship. Space evaluation structure model can be applied to designing lobby areas of obstetric hospitals to reconstruct more specific and objective designing goals and standards rather simply designer's sensitive and abstract designing approach.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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• pp.24.3-24.3
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• 2008

The signals transmitted from satellites of Global Navigation Satellite System (GNSS) interact with the plasma of the ionosphere. To study the impact of the ionospheric plasma on GNSS applications a comprehensive knowledge of the ionosphere is required. Especially the correct measurement of the ionosphere such as the peak height of the F2 layer peak electron density (hmF2) is important for the GNSS ionospheric model. Anyang ionosonde station ($37.39^{\circ}N$, $126.95^{\circ}E$) has been operating from October 2000 and the accumulated data for 8 years may allow us to obtain climatological characteristics of middle latitude ionospheric F region for GNSS application. We analyzed the variations of the hmF2 and NmF2 over Anyang station for different conditions of solar activity, geomagnetic activity, season, and local time, and we compared our results with the IRI model.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.169-172
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• 2006

Most studies using state-space models have been conducted under the assumption of independently distributed noises in measurement and state equation without adequate verification of the assumption. To avoid the improper use of state-space model, testing the assumption prior to the parameter estimation of state-space model is very important. The purpose of this paper is to investigate the general relationship between parameters of state-space models and those of ARIMA processes. Under the assumption, we derive restricted parameter spaces of ARIMA(p,0,p-1) models with mutually different AR roots where $p\;{\le}\;5$. In addition, the results of ARIMA(p,0,p-1) case can be expanded to more general ARIMA models, such as ARIMA(p-1,0,p-1), ARIMA(p-1,1,p-1), ARIMA(p,0,p-2) and ARIMA(p-1,1,p-2).

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.246-252
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• 2005

Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. It is desirable for a mobile robot to carry out human affinitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible. In order to follow a human, control law is derived from the assumption that a human and a mobile robot are connected with a virtual spring model. Input velocity to a mobile robot is generated on the basis of the elastic force from the virtual spring in this model. And its performance is verified by the computer simulation and the experiment.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.868-871
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• 2009

21세기를 본 논문에서는 칼라분포에 기반한 적응 외형 모델을 파티클 필터에 적용한 이동물체 추적방법을 제시하였다. 칼라 기반의 추적은 서로 다른 외형의 변화에 따라 빠르게 움직이는 이동물체를 다중 관측 모델을 결합하여 추적할 수 방법을 제시하고 있다.