• 한국의류학회지
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• 제22권5호
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• pp.628-638
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• 1998

This study, the second in two part series, focuses on effect of product involvement and consumer knowledge on consumers' perceptions of six dimensions of clothing price: price -quality schema, prestige sensitivity: sale proneness, price mavenism, value consciousness, and price consciousness. Additionally, correlation between product involvement and consumer knowledge was examined. Multi-item measures of six dimensions of price, product involvement, and consumer knowledge were included in the questionnaires. The subjects were 264 college students living in Seoul, Korea. The data were collected by self-administered questionnaires and analyzed by factor analysis, regression analysis, and correlation analysis using SPSS PC. In addition, two focus group interviews were conducted to obtain qualitative data for the result interpretation. Results of this study showed that the degree of consumers' product involvement significantly affects consumers' perceptions of each price dimension except price consciousness dimension. Consumers' knowledge about clothing has a significant effect on consumers' perceptions of all price dimensions. Dimensions of product involvement and consumer knowledge were partially correlated. Marketing implications based on these results were suggested.

• Imaging Science in Dentistry
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• 제33권2호
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• pp.113-119
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• 2003

Purpose : To evaluate the relationship between morphometric analysis of bone microstructure from digital radiographic image and trabecular bone strength. Materials and Methods : One hundred eleven bone specimens with 5 mm thickness were obtained from the mandibles of 5 pigs. Digital images of specimens were taken using a direct digital intraoral radiographic system. After selection of ROI (100 × 100 pixel) within the trabecular bone, mean gray level and standard deviation were obtained. Fractal dimension and the variants of morphometric analysis (trabecular area, periphery, length of skeletonized trabeculae, number of terminal point, number of branch point) were obtained from ROI. Punch sheer strength analysis was performed using Instron (model 4465, Instron Corp., USA). The loading force (loading speed 1 mm/min) was applied to ROI of bone specimen by a 2 mm diameter punch. Stress-deformation curve was obtained from the punch sheer strength analysis and maximum stress, yield stress, Young's modulus were measured. Results: Maximum stress had a negative linear correlation with mean gray level and fractal dimension significantly (p<0.05). Yield stress had a negative linear correlation with mean gray level, periphery, fractal dimension and the length of skeletonized trabeculae significantly (p < 0.05). Young's modulus had a negative linear correlation with mean gray level and fractal dimension significantly (p < 0.05). Conclusions : The strength of cancellous bone exhibited a significantly linear relationship between mean gray level, fractal dimension and morphometric analysis. The methods described above can be easily used to evaluate bone quality clinically.

• 수면정신생리
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• 제6권1호
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• pp.52-60
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• 1999

목 적 : 임상 뇌파의 비선형 분석시, 분석시간을 단축시킬 수 있는 방법과 보다 정확한 상관차원을 얻기 위한 새로운 알고리즘 고안을 시도하였다. 또 뇌파신호 분석을 위한 적절한 신호획득 조건을 결정하는 방법을 제시하기 위하여 여러 상이한 실험조건에서 상관차원을 계산하였으며, 여기서 얻은 결과를 이용하여 각 실험실마다 공통적으로 적용할 수 있는 표준화된 실험 조건을 결정하고자 하였다. 방 법 : 임의의 한 개인을 대상으로 13개의 두피전극에서 얻은 뇌파신호를 대상으로 하였다. 12비트 해상도에서 1000 헤르츠로 32초간 얻은 뇌파신호를 디지털화 하여 각 전극당 32000개의 시계열자료를 얻었다. 이 자료를 10, 20, 30초 간격의 시간단위로 나누고, 각각에 대해 1000, 500, 250, 125, 62.5 Hz 등 5가지 신호추출조건을 달리 하여 각 전극마다 총 15개의 시계열 자료를 만들었다. 여기에 상관차원 계산시간 단축을 위해 고안된 계산 알고리듬 및 상관차원 추정 정확도를 개선하기 위해 적용한 최소절단자승기법을 적용하여 상관 차원을 계산하였다. 이렇게 얻은 상관차원 결과를 신호획득시간과 신호추출빈도에 따라 비교하였다. 또 로그연산을 비트 연산으로 바꾸어 계산시간 단축의 효과를 평가하였으며, 최소 절단자승기법과 최소자승추정기법을 비교하였다. 결 과 : 신호추출시간이 증가함에 따라 상관차원의 값도 통계적으로 유의하게 증가하는 양상을 보였다. 신호추출빈도가 62.5Hz일때는 신호추출시간에 무관하게 높은 상관차원값을 나타냈으나 그밖의 빈도에서는 유사한 상관차원값을 보였다. 본 연구에서 고안된 계산 알고리듬은 종래 사용하던 알고리듬에 비해 통계적으로 유의한 계산시간 단축효과를 보였다. 또 종래의 방법인 최소자승추정에 의한 상관차원에 비하여 본 연구에 적용된 최소절단자승추정법은 보다 안정된상관차원 값을 추정하였다. 결 론 : 본 연구는 다량의 뇌파 시계열 자료를 분석하는데 신속하고 보다 정확한 상관차원 추정에 알맞는 분석방법을 제공하였다. 또한 뇌파 시계열 자료의 상관차원 계산시 12비트의 해상도에서 125Hz의 신호추출빈도로 20초간 뇌파신호를 획득하면 적정한 수준의 상관차원을 계산할 수 있음을 보였다.

• 기본간호학회지
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• 제6권3호
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• pp.369-381
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• 1999

The purpose of this study was to determine the predictors of health promoting lifestyles(Health Promoting Lifestyle Profile HPLP) of Koreans in the Philippines. The sample consisted of 100 Koreans who have lived in Manila, Philippines. Data were collected for two months from Feb, 1 to March 30, 1998. Analysis of the data was done by use of percentage, t-test, ANOVA, Pearson's Correlation Coefficients, and Stepwise Multiple Regression. The results of this study were summarized as follows : 1. The range of total HPLP score was from 73 to 175 and the mean score of that was 117.23. In comparison of mean scores depending on each item of six dimensions, self-actualization dimension tended to show the hightest score(2.98) and responsibility for health dimension, the lowest score(1.83). 2. The HPLP score showed a positive correlation with age(r=.19), social support (r=.39), self-efficacy(r=.52) and perceived health status(r=.27), but a inverse correlation with perceived health care service utilization barriers(r=-.20). 3. By using stepwise multiple regression analysis it was determined that the main influencing factors on the HPLP score were self-efficacy(27.2%), social support(5.3%), age(5.3%) and perceived health status(2.9%). These variables made it possible to explain 40.7% of variance in HPLP score.

• 복식
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• 제23권
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• pp.183-196
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• 1994

The purpose of this study is , by analyze the relationship among clothing involvement which is major expanatory variable in the stage of product purchase and consumption, evaluation criteria of housewives, to help to give understanding the concept of involvement and to supply the fundamental data for constructing marketing stratege. The subject of this study was a 510 housewives and the items of study were three such as suit , one piece dress, blouse, skirt , and blue jean, T-shirt. For analyzing data frequency analysis, percent , mean , standard deviation , factor analysis. F-test, Duncan -test , MANOVA, t-test , and Pearson's product -moment correlation coefficient were used. The results are as follows. 1. Clothing involvement was divided into 4 dimensions such as fashion, pleasure, symbolism, and perceived risk. Evaluative criteria had 5 dimensions such as harmony , dignity , practicality , price, and fashion. 2. There was significant difference in the occupaton of working housewives and the expenditure of money on clothing concerning clothing involvement. 3. There was significant difference in items concerning the degrees of importance of each evaluation factor. Harmony was the first important dimension and practicality was the second by housewives. The degree of clothing involvement has a significant positive correlation with the factors of evaluation on each item. Each dimension of clothing involvement had a significant positive correlation with the factors of evaluation.

• 지역사회간호학회지
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• 제13권4호
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• pp.648-667
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• 2002

This was a descriptive study designed to identify the level of coping method and its influencing factors on the family caregivers of demented patients, and resolve the family caregivers' level of stress. The data were collected from September 10 to October 10, 2001. Subjects for this study were recruited from four clinics, which were chosen from 15 clinics located in Chunbuk-Do as the study sites because of their cooperation for the study. They were similar in terms of size, the characteristics of the local community. and the population and registration status of the demented patients. The instruments used for the study were as follows: 1. Problematic behaviors of demented patients are measured by the Memory and Behavior Problem Checklist (Zarit, 1980), and the Linguistic Communication Symptoms Questionnaire (Bayles and Tomoeda, 1991) 2. The ability to carry out daily activities was measured using the Barthel Index (1965) and Katz Index (1963), which as well-known ADL assessment methods. 3. Burden was measured using Cost of Care Index by the Kosberg and Cairl (1986). 4. Coping strategy was measured Bell's 18 methods (1977). The data were analyzed using SPSS/PC. The study results were as follows: 1. The total stress score was 2.90 out of a maximum score of 5. The highest score reported was 3.09 on the dimension of restriction of individual and social activities, and the lowest region reported was 2.58 on the dimension of mental and physical health. 2. The total score of the coping method was 2.65 out of a maximum score of 5. The highest score reported was 4.01 on the dimension of thinking that includes an ideation such that it is better than any possible worst case, and the lowest score reported was 1.45 on the dimension of the self-image as a scapegoat. 3. There were significant differences in coping method among the subjects by age (F=2.752 p=0.04), caregiver (F=4.33 p=0.003), care-giving period (F=2.68 p=0.049), and dementia stage (F=2.87 p=0.034). 4. There were highly negative correlations ($\gamma$=-0.301 p=0.000) between problematic behaviors of demented patients and the coping method of their family caregivers. The highest correlation coefficient ($\gamma$=-0.339 p=0.000) was found between aggressive behaviors of the demented patients and the coping method of their family caregivers. 5. There was a low negative correlation ($\gamma$=-0.201 p=0.019) between the ADL of the demented patients and the coping method of their family caregivers. 6. There were highly negative correlations ($\gamma$=-0.213 p=0.005) between stress and the coping method of the family caregivers. The highest correlation was found between financial burden ($\gamma$=-.327 P=.000) and the coping method of the family caregivers. There was no significant correlation among unpleasant aspects of the demented patients, willingness to the demented patients, and the coping method of the family caregivers.

• 한국생산제조학회지
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• 제9권2호
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• pp.45-51
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• 2000

This study proposes that analysis and evaluation method of time series ultrasonic signal using the chaotic feature extrac-tion for degradation extent. Features extracted from time series data using the chaotic time series signal analyze quantitatively material degradation extent. For this purpose analysis objective in this study if fractal dimension lyapunov exponent and strange attractor on hyperspace. The lyapunov exponent is a measure of the rate at which nearby trajectories in phase space diverge. Chaotic trajectories have at least one positive lyapunov exponent. The fractal dimension appears as a metric space such as the phase space trajectory of a dynamical syste, In experiment fractal(correlation) dimensions and lyapunov experiments showed values of mean 3.837-4.211 and 0.054-0.078 in case of degradation material The proposed chaotic feature extraction in this study can enhances ultrasonic pattern recognition results from degrada-tion signals.

• Journal of Welding and Joining
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• 제16권6호
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• pp.86-96
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• 1998

This study proposes the analysis method of time series ultrasonic signal using the chaotic feature extraction for degradation extent evaluation. Features extracted from time series data using the chaotic time series signal analyze quantitatively degradation extent. For this purpose, analysis objective in this study is fractal dimension, lyapunov exponent, strange attractor on hyperspace. The lyapunov exponent is a measure of the rate at which nearby trajectories in phase space diverge. Chaotic trajectories have at least one positive lyapunov exponent. The fractal dimension appears as a metric space such as the phase space trajectory of a dynamical system. In experiment, fractal correlation) dimensions, lyapunov exponents, energy variation showed values of 2.217∼2.411, 0.097∼ 0.146, 1.601∼1.476 voltage according to degardation extent. The proposed chaotic feature extraction in this study can enhances precision ate of degradation extent evaluation from degradation extent results of the degraded materials (SA508 CL.3)

• Communications for Statistical Applications and Methods
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• 제31권2호
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• pp.247-262
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• 2024

In this paper, we explore nonlinear sufficient dimension reduction (SDR) methods, with a primary focus on establishing a foundational framework that integrates various nonlinear SDR methods. We illustrate the generalized sliced inverse regression (GSIR) and the generalized sliced average variance estimation (GSAVE) which are fitted by the framework. Further, we delve into nonlinear extensions of inverse moments through the kernel trick, specifically examining the kernel sliced inverse regression (KSIR) and kernel canonical correlation analysis (KCCA), and explore their relationships within the established framework. We also briefly explain the nonlinear SDR for functional data. In addition, we present practical aspects such as algorithmic implementations. This paper concludes with remarks on the dimensionality problem of the target function class.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1994년도 추계학술대회
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• pp.142-146
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• 1994

This paper proposes an fill-factor algorithm that determines embedding parameters which are needed in optimal attractor reconstruction. For reliability test, using this algorithm, we reconstructs the attractor of numerical chaotic data such as Duffing equation, Lorenz equation and Rossler equation whose embedding parameters are known. Also we reconstructs the attractor of experimental data and evaluates correlation dimension. Experimental data used in this paper are 38 ECG data of AHA(American Heart Association) ECG database. For numerical chaotic data, correlation dimension and Lyapunov exponent of reconstructed attractor are very close to those of attractor using original coordinate system.