• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.3
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• pp.15-28
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• 2008

According to the accident statistics published by the National Police Agency in 2006, it can be recognized that drivers' characteristics and driving behaviors are the most causational factors on the traffic accidents. At present, although many recording tools such as digital speedometer or black box are distributed in the market to meet social requests of decreasing traffic accidents and increasing safe driving behaviors, it is also true that it still lacks in obvious categories for dangerous driving types and then, the efficiency of the categories to be studied has been low. In this study, dangerous driving types are redefined. They are grouped into 7 classifications in the first level, and the seven classifications are regrouped into 16 in more detail. To verify the redefined dangerous driving types, a Data-logger is developed to receive and analyze the data that occur from the driving behaviors of the test vehicle. The developed Data-logger can be used to construct a real time warning system and safe driving management system with dangerous driving patterns based on acceleration, deceleration, Yaw rate, image data, etc.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.5 no.3
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• pp.76-85
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• 2024

The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R²) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.14 no.2
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• pp.104-109
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• 2003

The purpose of this study is to analyze the EGG measures from Lx Speech Studio program (Laryngograph Ltd, UK) in patient with vocal nodule. Thirty female adults (15 patient with vocal nodule, 15 normal speaker) produced sustained vowel and read the passage. They were grouped into three groups based on Grade (GRBAS) : normal-G0, nodule-Gl, nodule-G2. Estimates of Fx (Hz), Qx(%), Jitter, Shimmer, and HNR were made from a 500msec midportion of vowel. In addition, DFx(Hz), DQx(%), CFx(%) and CAx(%) were obtained from reading the passage. These data were compared among groups. The results were as follow Jitter, Shimmer, HNR were significantly higher in nodule-G2 group than in normal-G0 & patient-Gl group. In nodule-G2 group, CFx and CAx from reading passage were significantly higher. For patients with nodule, asymmetry or irregularity were observed in graphs of QxFx ＆ CFx provided by Quantitative Analysis.

• International Journal of Reliability and Applications
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• v.2 no.3
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• pp.189-197
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• 2001

The estimation of mean lifetimes in presence of interval censoring with mixed replacement procedure is examined when the distributions of lifetimes are exponential. It is assumed that, due to physical restrictions and/or economic constraints, the number of failures is investigated only at several inspection times during the lifetime test; thus there is interval censoring. The maximum likelihood estimator is found in an implicit form. The Cramor-Rao lower bound, which is the asymptotic variance of the estimator, is derived. The estimation of mean lifetimes for competing failures model has been expanded.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.6
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• pp.898-908
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• 1999

This paper was aimed to identify the hand and sensibility of silk woven fabrics for neckties to find their relationships to the hand and purchasing preferences and to make their image scale. 56 male and female students evaluated 20 specimens with semantic differential scale of 21 hand and 25 sensibility adjectives. Data were analyzed through factor analysis pearson correlational coefficient t-test using PC SAS package. the hand adjectives were grouped as 4 surface property thermal property flexibility and dryness. The sensibility adjectives were modern classic character and natural,. The flat fabrics with warm hand displayed 'modern' sensibility but those with col hand show 'classic' The rough fabrics with warm hand showed 'natural' but those with cool hand showed 'character' The fabrics rated as high hand preference and purchasing preference showed soft and flat hand occuring 'modern' and 'classic' sensibility.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.6
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• pp.641-652
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• 2012

This study took the conceptual framework of acculturation styles into the empirical investigation of international students in Korea. This research identifies the differences in acculturation styles, the characteristics of each segment, the effect of acculturation styles on clothing involvement (clothing involvement and risk probability), and the effect of cultural orientation values (individualism and collectivism) as covariates. The participants were international students attending a university located in Seoul. Data from 153 international students were used for statistical analysis. Respondents were grouped into four acculturation styles (integration, assimilation, separation, and marginalization). The assimilation group had the highest mean score of clothing interest. Cultural orientation values showed a significant covariate effect. With individualism as covariates, the main effect of acculturation styles on clothing interest was significant. In clothing product evaluation criteria, the integration group regarded design, fit and trend as most important. The marginalization group showed a mean score that was significantly lower in brand preference and satisfaction; however, the assimilation group had a mean score that was significantly higher.

• Journal of the Korean Home Economics Association
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• v.43 no.4 s.206
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• pp.203-223
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• 2005

This study investigated the leisure constraints and leisure life satisfaction of the institutional elderly. The respondents were 302 elderly people residing in 5 free institutionalized elderly homes in Seoul. The data were analyzed by frequency analysis, factor analysis, One-way ANOVA, Duncan's post hoc test and regression analysis using SPSS WIN 12.0 program. Exploratory factor analysis revealed that the 10 items in the proposed scale could be grouped into four factors of constraint on leisure:'physical constraint','psychological constraint','interpersonal constraint', and 'structural constraint 'There were differences in leisure constraints according to sex, age, education degree, interaction with facility colleagues, and interaction with facility staff. There were differences in leisure life satisfaction according to sex, age, having religion or not, interaction with facility colleagues, interaction with facility staff and leisure constraints. Regression analysis results indicated that the main effective factors of leisure life satisfaction were leisure constraints.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.115.1-115
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• 2003

Post-harvest decay, caused by Penicillium spp. is a serious problem of fruits worldwide. Morphological characteristics and molecular markers were used to characterize 22 Penicillium isolates from apples, 18 isolates from pears, 60 from oranges and 18 from grapes and 23reference isolates representing related Penicillium spp. to assess their diversity and resolve their taxonomy. Based on morphological and physiological characteristics, the isolates were grouped as identical or very similar to P. digitatum, P. italicum, P. ulaiense or very similar to P. crustosum, P. expansum, P. solitum and unidentified Penicillium spp. Based on sequence comparisons of ITS region, variable site were presented within and among the species, but there variation were not correlated with the species. Cluster analyses of AP-PCR fragment patterns using UP and L45 primer and the -tubulin gene sequence, the Penicillium species were segregated into distinct groups. Particularly. the -tubulin partial sequence data provided support for species concepts based on morphological and physiological characteristics.

• Journal of the Korean Society of Costume
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• v.54 no.1
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• pp.37-51
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• 2004

The purpose of this study is to measure middle-aged men's bodies around the ages of thirty-five through fifty-five, whose age-group undergoes drastic changes on their body shapes, and to reveal their physical characteristics by comparing the measurements. Sixty Body measurements were taken on 168 subjects. Statistics analysis of data used Oneway Anova, Correlation, Fator Analysis, Cluster Analysis, Crosstabs. Body shapes are grouped based on the measurements, and TypeI is characterized by small and middle-sized body shapes. Tall and obese body shapes belong to TypeII. Lastly, TypeIII is characterized by body shapes with very tall height and obesity, especially around the abdomen area.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.170-175
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• 2001

The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative subcycles. In analyzing or optimizing such a coupled system, it is essential to determine the best order of the processes within these subcycles to reduce design cycle time and cost. This is accomplished by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problems to improve design efficiency by using the multiple objective genetic algorithm (MOGA), and a sample test case is presented to show the effects of optimizing the sequence with MOGA.