• 복식
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• 제10권
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• pp.51-62
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• 1986

The purpose of this study was to investigate the relationships among Clothing Satisfaction, Social approval, Psychological dependence, and Social security-insecurity and to determine the difference of clothing behaviors by the demographic variables such as age, socioeconomics status, education, religion, and material status. Clothing Satisfaction was measured by Rim's Questionnaire(1974) moditide and supplemented for this study. For the measurement of Social approval and Psychological dependence, the Clothing Interest Inventory developed by Creekmore (1971) was adapted for this story. The measurement for the Social security-insecurity was adapted from Lapitsky's (1961) Social Security Inventory. Data were collected from 322 purposively selected elderly women over sixty dwelling in Seoul by means of interviews. For statistical analysis, frequency distribution, one-way analysis of variance, Pearson's correlation coefficients were used. The results were as follows: 1. There were significant relationships among Clothing satisfaction, Social approval, and Psychological dependence. Negative significant relaionships were found between Clothing satisfaction and Social approval and between Clothing satisfaction and Psychological dependence. 2. There was negative significant relationship between Social security-insecurity and Clothing satisfaction, while positive significant relationships were found between Social security-insecurity and Social approval, and between Social security- insecurity and Psychological dependence. 3. There was significant difference in Clothing satisfaction according to socioeconomic status and education. 4. There was significant difference in Social approval according to socioeconomic statusand education. 5. There was significant difference in Psychological dependence according to education and religion.

• Journal of Information Processing Systems
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• 제10권4호
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• pp.523-542
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• 2014

One-dimensional arrays with subscripts formed by induction variables in real programs appear quite frequently. For most famous data dependence testing methods, checking if integer-valued solutions exist for one-dimensional arrays with references created by induction variable is very difficult. The I test, which is a refined combination of the GCD and Banerjee tests, is an efficient and precise data dependence testing technique to compute if integer-valued solutions exist for one-dimensional arrays with constant bounds and single increments. In this paper, the non-continuous I test, which is an extension of the I test, is proposed to figure out whether there are integer-valued solutions for one-dimensional arrays with constant bounds and non-sing ularincrements or not. Experiments with the benchmarks that have been cited from Livermore and Vector Loop, reveal that there are definitive results for 67 pairs of one-dimensional arrays that were tested.

• Human Ecology Research
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• 제54권3호
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• pp.321-332
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• 2016

This study clarified the maintenance of relationship between children and teachers based on longitudinal data and explored the latent classes. It clarified the latent classes connection with the children's peer play interaction. The subjects of this study were 194 children (aged 3) who attended 11 different kindergartens and daycare centers. We collected data three times (once every 6 months) until they reached age 4. The results of this study were: first, closeness, conflict, and dependence of child-teacher relationship that showed a continuous short-term connection. Second, we classified the child-teacher relationship into three groups according to longitudinal data. Those groups were, 'low level maintenance group' which had the lowest conflict and dependence compared to the highest closeness with teacher, 'middle level maintenance group' which had the teacher relationship in the middle level of the sub element area, and 'high level maintenance group' which showed high conflict and dependence compared to low closeness with the teacher. Third, the group which maintains a longitudinal high conflict.dependence showed more interruption and disruption behavior than the group which maintained a low conflict and dependence. In conclusion, the child-teacher relationship seemed to be the steady characteristic because it showed the early formation of a stable relationship. It was possible to predict the child's peer interaction through an early child-teacher relationship. Teachers need to be educated by the kindergarten and daily care center because the early formation of a child-teacher relationship can be the foundation of child's later peer and teacher relationships.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.65-65
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• 2002

In remote sensing, images are acquired over the same area by sensors of different spectral ranges (from the visible to the microwave) and/or with different number, position, and width of spectral bands. These images are generally partially redundant, as they represent the same scene, and partially complementary. For many applications of image classification, the information provided by a single sensor is often incomplete or imprecise resulting in misclassification. Fusion with redundant data can draw more consistent inferences for the interpretation of the scene, and can then improve classification accuracy. The common approach to the classification of multisensor data as a data fusion scheme at pixel level is to concatenate the data into one vector as if they were measurements from a single sensor. The multiband data acquired by a single multispectral sensor or by two or more different sensors are not completely independent, and a certain degree of informative overlap may exist between the observation spaces of the different bands. This dependence may make the data less informative and should be properly modeled in the analysis so that its effect can be eliminated. For modeling and eliminating the effect of such dependence, this study employs a strategy using self and conditional information variation measures. The self information variation reflects the self certainty of the individual bands, while the conditional information variation reflects the degree of dependence of the different bands. One data set might be very less reliable than others in the analysis and even exacerbate the classification results. The unreliable data set should be excluded in the analysis. To account for this, the self information variation is utilized to measure the degrees of reliability. The team of positively dependent bands can gather more information jointly than the team of independent ones. But, when bands are negatively dependent, the combined analysis of these bands may give worse information. Using the conditional information variation measure, the multiband data are split into two or more subsets according the dependence between the bands. Each subsets are classified separately, and a data fusion scheme at decision level is applied to integrate the individual classification results. In this study. a two-level algorithm using hierarchical clustering procedure is used for unsupervised image classification. Hierarchical clustering algorithm is based on similarity measures between all pairs of candidates being considered for merging. In the first level, the image is partitioned as any number of regions which are sets of spatially contiguous pixels so that no union of adjacent regions is statistically uniform. The regions resulted from the low level are clustered into a parsimonious number of groups according to their statistical characteristics. The algorithm has been applied to satellite multispectral data and airbone SAR data.

• Child Health Nursing Research
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• 제26권1호
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• pp.47-54
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• 2020

Purpose: The purpose of this study was to identify the smartphone use patterns of smartphone-dependent children. Methods: The study design was a cross-sectional descriptive study. The data were derived from the 2017 survey on smartphone over-dependence conducted by the Ministry of Science and ICT and the National Information Society Agency. The study sample was 595 elementary school students identified as being smartphone-dependent. The data were analyzed by frequency, percentage, mean, standard deviation, the independent t-test, the x² test, the Pearson correlation coefficient, and multiple regression analysis. Results: The frequency of smartphone use was the factor strongly associated with more severe smartphone dependence in participants. Games were the most commonly used application type among participants, regardless of their degree of dependence. More severe smartphone dependence was associated with greater use of applications such as learning and television/video. Conclusion: As smartphone dependence becomes more severe, children tend to use their smartphones more frequently and to use applications that involve solitary play for the purposes of entertainment and pleasure. The findings suggest that the parents should attentively monitor their children's smartphone use patterns and provide consistent discipline in a way that ensures appropriate smartphone use.

• 산경연구논집
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• 제8권5호
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• pp.53-63
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• 2017

Purpose - The main feature of this study is understanding of the vendor's opportunism on the collaboration context between buyer and vendor from the buyer's viewpoint with resource dependence theory. A number of studies on opportunism have focused on opportunistic definitions and its theoretical studies. Other researches emphasize the importance of governance in ways that reduce opportunism. We think that this research could be filled with the lack of previous studies. Research design, data, and methodology - In order to accomplish research purpose, four hypotheses have been established based on the framework of resource dependence theory and previous studies. And we have used 599 survey data jointly collected by Korea Productivity Center and the Ministry of Trade, Industry and Energy. To verify these hypothesis, we have conducted multiple regression analysis with SPSS 23.0. Results - The vendor 's opportunism decreases as mutual trust with buyer becomes higher. However, as the degree of dependence of buyers on vendor resources increases, vendor's opportunism increases. And monitoring vendor's capacity has a moderating effect with buyer resource dependency to vendor's opportunism. Conclusions - This study suggest there are two options to decrease vendor's opportunism. Increasing mutual trust or decrease dependence on vendor's resources. Also, monitoring suppler's capacity could be effective when vendor's resource dependence is high.

• 한국군사과학기술학회지
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• 제12권6호
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• pp.727-732
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• 2009

In this paper, the dependence of the Kalman filter-based emitter location algorithm on the initial estimate is investigated. Given all the LOB data, the initial estimate of the emitter location is obtained from the linear LSE algorithm with the former LOB data. Using the initial estimate, the Kalman filter algorithm is applied with the remaining LOB data to update the initial estimate. It is shown that as the number of data used in the calculation of the initial estimate increases, the accuracy of the final estimate is improved and the total computational complexity of obtaining the initial estimate and the final estimate increases. In addition, the dependence of the performance of the Kalman filter algorithm on the predefined constant is illustrated.

• Asian Pacific Journal of Cancer Prevention
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• 제13권6호
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• pp.2663-2667
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• 2012

Objectives: An attempt was made to understand the nicotine dependence of smokers selected for an ongoing smoking cessation intervention programme in rural Kerala, India. Methods: Data were collected from resident males in the age group of 18 to 60 years from 4 randomly allocated community development blocks of rural Thiruvananthapuram district (2 intervention and 2 control groups). Trained accredited social health activist workers were utilised to collect data from all groups through face to face interview. Nicotine dependence among participants was assessed by means of the six-item Fagerstrom Test for Nicotine Dependence (FTND) translated into the local language. The internal consistency of FTND was computed using Cronbach's alpha coefficient. Criterion validity (concurrent) was assessed by correlations of nicotine dependence scores with age at initiation of smoking and cumulative smoking volume in pack-years. Results: Among the 928 smokers identified, 474 subjects were in the intervention area (mean age = 44.6 years, SD = 9.66 years) and 454 in the control area (mean age = 44.5 years, SD = 10.30 years). The overall FTND score among current daily smokers was 5.04 (SD: 5.05). FTND scores in the control and intervention areas were 4.75 (SD: 2.57) and 4.92 (SD: 2.51) respectively. The FTND scores increased with age and decreased with higher literacy and socioeconomic status. The average FTND score was high among smokers using both bidi and cigarettes (mean 6.10, SD 2.17). Internal consistency analysis yielded a Cronbach's alpha coefficient of 0.70 in a subsample of 150 subjects, a moderate result. The association of the scale was strongest, with the number of pack-years smoked (rho = 0.677, p < 0.001). Conclusion: A moderate level of nicotine dependence was observed among smokers in the current study. Tobacco cessation strategies could be made more cost effective and productive if a baseline assessment of nicotine dependence is completed before any intervention.

• 보건의료산업학회지
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• 제9권3호
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• pp.145-157
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• 2015

Objectives : This study identified factors that influenced social nicotine dependence in university students using descriptive methods. Methods : Data were collected 429 university students from 2 universities in B metropolitan city. The analytical methods were the t-test, ANOVA, Scheffe's test, Pearson's Correlation Coefficient and multiple regression analysis. Results : There were significant differences in social nicotine dependence according to gender (t=3.359, p=.001), smoking status (t=8.915, p=.000), religion (t=3.841, p=.022), economic status (t=3.632, p=.027) and grade (t=8.466, p=.000). Social nicotine dependence was weakly correlated with anxiety (r=.113, p<.05). Meaningful variables that explain social nicotine dependence were anxiety, self-efficacy self-esteem, female, smokers and no religion. Conclusions : It is necessary to develop a comprehensive smoke-free policy that considers social nicotine dependence to improve the cultural and social awareness of the associated health hazards of smoking, and to develop smoking cessation education and smoking prevention programs that improve the self-efficacy and self-esteem of university students.

• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.79-95
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• 2020

The globalization of financial markets has broadened investment opportunities. International investors' investment portfolios consist of financial instruments from various countries; consequently, the risks associated with economic dependence among countries should be carefully considered. Step-down equity-linked securities (ELS) are a structured financial product that have recently become popular among Korean investors. Payoffs are based on two or three stock indices from different regions; therefore, dependence between the indices should be reflected in the risk analysis. In this study, we consider a regime-switching copula model to describe the joint behavior of two stock indices- the Eurostoxx50 and the Hang Seng China Enterprises Index (HSCEI). These indices are commonly used as underlying assets of step-down ELS. Using historical data, we analyze the risk associated with step-down ELS through the probabilities of early redemption. A regime-switching copula model can accommodate complicated dependence. Thus, it should be considered in the risk analysis of step-down ELS.