• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.461-467
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• 2002

Signals produced from the brain had been considered as a noise that is caused by the stochastic process until 1980. The recent non-linear dynamic theory researches, however, reported that these signals are meaningful and deterministic chaos signals in which they show how the brain deals with various information Since this report a wide range of researches has been carried out and still in progress. Thus, by using the correlational dimension, one of the non-linear analytical methods, the characteristics of the brain signals can be analyzed. In this thesis, the scent of lavender, which stimulates the olfactory sense, is introduced to measure EEG with the International 10-20 electrode system on 16 channels, and to analyze the interrelationship between the original signals before the stimulation and the changed signals after the stimulation. Finally, the effect of the scent stimulation to the brain is analyzed. The purpose of this thesis is to apply these analyzed results to the computerized mapping of the brain signals and possible ways of specifying the source of the brain signals through various medical applications.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.5
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• pp.442-450
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• 2002

In measuring EEG, which is widely used for studying brain function, EEG is frequently mixed with noise and artifact. In this study, the signals relevant to the artifact were distracted by applying ICA to EEG signal. First, each independent component which was assumed to be the source was separated by applying ICA to EEG which involved artifact relevant to the eye movement of a normal person. Next, the signal which was assumed to be artifact was removed from the separated 18 independent components, and the nonlinear analysis method such as correlation dimension and the Iyapunov exponent was applied to each reconstructed EEG signal and the original signal including artifact in order to find meaningful difference between the two signals and infer the anatomical localization of its source and distribution. This study shows it is possible not only to analyze the brain function visually and spatially for visually complex EEG signal, but also to observe its meaningful change through the quantitative analysis of EEG by means of the nonlinear analysis.

• Journal of Broadcast Engineering
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• v.2 no.2
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• pp.136-145
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• 1997

As a 3D mesh model consists of a lot of vertices and polygons and each vertex position is represented by three 32 bit floating-point numbers in a 3D coordinate, the amount of data needed for representing the model is very excessive. Thus, in order to store and/or transmit the 3D model efficiently, a 3D model compression is necessarily required. In this paper, a 3D model compression method using PRVQ (predictive residual vector quantization) is proposed. Its underlying idea is based on the characteristics such as high correlation between the neighboring vertex positions and the vectorial property inherent to a vertex position. Experimental results show that the proposed method obtains higher compression ratio than that of the existing methods and has the advantage of being capable of transmitting the vertex position data progressively.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.3
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• pp.120-126
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• 2005

This paper presents the 3D wavelet based video compression system using quad-tree algorithm. The 3D wavelet based video compression system removes the temporal correlation of the input sequences using the motion compensation filter and decomposes the spatio-temporal subband using the spatial wavelet transform. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.64dB PSNR performance of the reconstructed image in comparison with that of H.263. In addition to the limitation on the propagation of the motion compensation error by the 3D wavelet transform, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.123-143
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• 2009

This study examined factors of presence using the experimental method. The design of this study was to analyze presence through the dimensions of character agents(text, voice, 2D, 3D, reality character dimension and gender) for e-learning platforms that used new technology-based content. There were 232 experimental participants in the study. This study was designed to measure their cognitive awareness of presence by agent dimensions in the first level to measure the presence level in the types of users. The results showed that there were significant correlation between types of users and presence. However there were no statistically significant results on dimensions. In addition, there were significant differences on character gender, voice or non-voice, text or non-text and character dimensions.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.15-27
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• 2019

The reliability of the data means the overall consistency of the measurement results. Methods for evaluating reliability have been continuously studied because it affects the results of the statistical analysis. Cronbach's ${\alpha}$ coefficient or intraclass correlation coefficient is used for reliability evaluation; however, these measures cannot be applied to data consisting of three-dimensional coordinates to represent an object. In this study, we propose a measure to evaluate the reliability of three dimensional shapes based on statistical shape analysis that is made possible by extracting the shape information from the measured three dimensional coordinates and decomposing the shape variation.

• Asia Marketing Journal
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• v.3 no.1
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• pp.1-29
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• 2001

본 연구는 가족의 구매의사결정에 대한 실증조사로서 성별역할관념론 및 자원이론과 가족구성원의 지각된 영향 간의 관계를 규명하였다. 영향을 주는 구성원은 남편과 아내와 자녀로 한정했으며, 영향을 지각하는 가족구성원은 남편과 아내로 제한하였다. 성별역할관념변수는 Scanzoni Sex-Role Scale(SSRS)로 측정하였으며, 자원변수는 남편과 아내 각자의 수입과 교육수준으로 측정하였다. SSRS 는 요인분석을 사용하여 차원(요인)을 파악한 후 자원변수와 함께 지각된 영향 간의 관계를 규명하기 위하여 다변량 회귀분석을 사용하였다. 요인분석 결과는 Scanzoni(1975)의 분석 결과와 요인구조 면에서 차이가 있었다. SSRS 는 아내의 척도 2 개 차원과 남편의 척도 3 개 차원으로 구성되어 있다. 그러나 본 연구에서 남편의 척도는 1 개의 차원으로 나타났다. 조사대상이 된 제품은 TV, 냉장고, 세탁기, 침대, 장롱, 식탁, 자동차, 남성정장, 여성정장, 여행지로 모두 10 개 였다. 성별역할관념변수의 영향을 분석한 결과는 "제품 특이적"이거나, 영향을 지각하는 "지각주체 특이적"이거나, 성별역할관념의 "차원 특이적" 현상을 보였다. 또한 우리나라의 남편들은 성별역할관념변수에 상관없이 자기의 영향을 더욱더 크게 지각하는 반면, 아내의 영향을 더욱더 적게 지각하는 경향이 있었다. 아내들도 남편보다는 자기의 영향을 더욱더 크게 지각하는 경향이 있으나 남편만큼 강한 것은 아니었다. 이 결과를 분석하면 남편들은 남성우월의 전통을 유지하려는 경향이 높은 반면 아내들은 이런 전통에 변화를 기대하는 진보적 성향을 띠고 있는 것으로 해석된다. 본 연구의 결과 자원이론은 지지를 받지 못하는 것으로 나타났다. 다시 말해 자원이론은 부부사이에서 기대했던 영향과 반대 방향으로 나타났을 뿐만 아니라 부모와 자식 간에도 기대했던 것과 반대 방향으로 나타났다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.77-80
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• 2009

3차원 영상 처리 기술과 3차원 디스플레이의 발전은 3차원 영상 시장의 빠른 발전을 가져왔고 차세대 방송 기술로 큰 관심을 받고 있다. 하지만 3차원 영상은 시청할 때 눈의 피로, 어지럼증과 같은 현상이 일어날 수 있으며, 왜곡된 3차원 영상이 인체에 해로운 영향을 미칠 수도 있다. 이는 3차원 영상 산업의 활성화를 위해서 가장 시급히 해결되어야 할 문제이다. 현재 3차원 디스플레이는 스테레오 방식과 함께 1view 1depth 다시점 방식이 개발되었다. 특히 1view 1depth 다시점 디스플레이에서 깊이 영상의 공간적/시간적으로 복잡한 정도는 피로감을 일으키는 주요 요소이며 이는 1view 1depth 영상을 통해 직접 연구할 수 있다. 본 논문에서는 1view 1depth 디스플레이에서 주관적인 피로도와 큰 상관도를 가지는 깊이 영상의 특성 측정 방법을 제안한다. 1view 1depth 디스플레이에서 view 영상은 양호한 화질을 가정하였으며 피로감에 큰 영향을 미치는 깊이 영상 정보만 사용하여 공간적, 시간적인 특성을 분석한다. 공간적 복잡도는 각 프레임에 대하여 깊이 영상 내 화소 값의 분산 값을 취하여 공간적으로 깊이 값의 분포와 구조의 복잡한 정도를 측정하고, 시간적 복잡도는 연속적인 프레임에 대하여 동일한 화소위치에서 화소 값 차이의 분산 값을 사용한다. 또한 공간적/시간적 평균값의 측정하여 피로감에 영향을 주는 요인으로 사용하였다. 결과적으로 측정한 값들을 바탕으로 주관적인 피로도 평가와 유사성을 가지도록 모델링하여 3차원 영상의 피로도를 예측한다.

• Journal of Broadcast Engineering
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• v.7 no.3
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• pp.248-261
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• 2002

In this paper, we proposed a new 3-dimensional(3-D) object-tracking algorithm that can control a stereo camera using a variable window mask supported by which uses ,B-D information and an optical BPEJTC. Hence, three-dimensional information characteristics of a stereo vision system, distance information from the stereo camera to the tracking object. can be easily acquired through the elements of a stereo vision system. and with this information, we can extract an area of the tracking object by varying window masks. This extractive area of the tracking object is used as the next updated reference image. furthermore, by carrying out an optical BPEJTC between a reference image and a stereo input image the coordinates of the tracking objects location can be acquired, and with this value a 3-D object tracking can be accomplished through manipulation of the convergence angie and a pan/tilt of a stereo camera. From the experimental results, the proposed algorithm was found to be able to the execute 3-D object tracking by extracting the area of the target object from an input image that is independent of the background noise in the stereo input image. Moreover a possible implementation of a 3-D tele-working or an adaptive 3-D object tracker, using the proposed algorithm is suggested.

• Journal of Biomedical Engineering Research
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• v.19 no.2
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• pp.189-198
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• 1998

3D medical image reconstruction techniques are useful to figure out complex 3D structures from the set of 2D sections. In the paper, 3D medical image reconstruction system is constructed under PC environment and programmed based on modular programming by using Visual C++ 4.2. The whole procedures are composed of data preparation, gradient estimation, classification, shading, transformation and ray-casting & compositing. Three speed optimization techniques are used for accelerating 3D medical image reconstruction technique. One is to reduce the rays when cast rays to reconstruct 3D medical image, another is to reduce the voxels to be calculated and the other is to apply early ray termination. To implement 3D medical image reconstruction system based on PC, speed optimization techniques are experimented and applied.