• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.1 s.139
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• pp.103-113
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• 2005

This study was intended to examine factor structure of value and clothing behavior and the effects of value on clothing behavior, to investigate clothing behavior and clothing purchasing behavior of the groups segmented by the value factors and the difference of those between male group and female group and to provide useful information for establishment of marketing strategies. The subjects were 575 university students. A total of 575 questionnaires was analyzed with factor analysis, cluster analysis, ANOVA, Duncan's multiple range test, ${\chi}^2-test$, regression analysis, and correlation analysis. The results were as follows: 1. Value was composed of 2 factors: personal orientation value and social orientation value. Clothing behavior were composed of 9 factors: interest, fashion, statue symbol, individuality, psychological dependence, comfort, aesthetic sense, economical efficiency, and social approval. 2. Clothing behavior and clothing purchasing behavior were significantly different among 3 groups segmented by 2 value factors. 3. The effects of value on clothing behavior was significantly different. 4. The effects of value on clothing behavior, clothing behavior and clothing purchasing behavior between male group and female group were different.

• Journal of Fashion Business
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• v.9 no.6
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• pp.126-140
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• 2005

The main purpose of this research was to examine what were the factors of shopping value that consumers perceived, if there is any difference between male and female, and if male and female consumer group were divided into different groups according to the pursuing shopping value type. Data were solicited from convenience sample of 347 adults(156 male and 191 female) who were between 19 to 49 years of age. Sources for the sample were companies and apartment complexes and several colleges in Seoul and Chonan to diversify by such demographics as age and social status. The statistical methods used for this study are factor analysis and cluster analysis and Scheffe test using a SPSS 10.00 GLM. The main findings are as follows: First, four dimensions of clothing shopping values were identified as pleasure, planned, leisure, and convenience value. For male, it appeared in the order of pleasure, leisure, planned, and convenience shopping value and for female, it appeared in the order of pleasure, planned, leisure, and convenience shopping value. The most important subdimension of clothing shopping value was 'pursuing pleasure' and the least important one was 'convenience' regardless of gender. Second, three types of consumer groups for male & female were identified. For male consumers, it appeared as planned, leisure/convenience, and pleasure pursuing group. For female consumers, it appeared as pleasure, convenience, and leisure shopping pursuing group. Here, pleasure is a common factors to affect shopping itself free from gender, but male does shopping with plan and female with pleasure.

• Journal of The Korean Astronomical Society
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• v.44 no.5
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• pp.161-175
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• 2011

We examine the dependence of the morphology of spiral galaxies on the environment using the KIAS Value Added Galaxy Catalog (VAGC) which is derived from the Sloan Digital Sky Survey (SDSS) DR7. Our goal is to understand whether the local environment or global conditions dominate in determining the morphology of spiral galaxies. For the analysis, we conduct a morphological classification of galaxies in 20 X-ray selected Abell clusters up to z~0.06, using SDSS color images and the X-ray data from the Northern ROSAT All-Sky (NORAS) catalog. We analyze the distribution of arm classes along the clustercentric radius as well as that of Hubble types. To segregate the effect of local environment from the global environment, we compare the morphological distribution of galaxies in two X-lay luminosity groups, the low-$L_x$ clusters ($L_x$ < $0.15{\times}10^{44}$erg/s) and high-$L_x$ clusters ($L_x$ > $1.8{\times}10^{44}$erg/s). We find that the morphology-clustercentric relation prevails in the cluster environment although there is a brake near the cluster virial radius. The grand design arms comprise about 40% of the cluster spiral galaxies with a weak morphology-clustercentric radius relation for the arm classes, in the sense that flocculent galaxies tend to increase outward, regardless of the X-ray luminosity. From the cumulative radial distribution of cluster galaxies, we found that the low-$L_x$ clusters are fully virialized while the high-$L_x$ clusters are not.

• Journal of Family Resource Management and Policy Review
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• v.24 no.1
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• pp.41-53
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• 2020

The purpose of this study was to identify the factors that affect middle-old aged housewives' participation in lifelong learning as a part of human resource development. Through purposive sampling, the study recruited 163 full-time housewives over age 40 years who live in C City. As a result, first, 87.1 percent of all respondents, or 142, said they were willing to participate in lifelong learning in the future. There was no statistically significant difference in the results of cross-checking by age, educational background and monthly household income variables. Additionally, we used cluster analysis to measure differences in participation intentions according to the perception of human resource development of middle-old aged full-time housewives. The perception variable of lifelong learning is: First, Cognitive degree, second, importance, third, activation awareness. Cluster 1(n=16) was divided into generally low-perception types, such as cognitive degree, importance, and life-long learning activation of the C city, while Cluster 2(n=61) was classified as a type of person who thinks that lifelong learning is important to life and Cluster 3(n=86) was generally classified as a type with a higher lifelong learning perception. and we found that there was no difference in the intention to participate in lifelong learning by all cluster Lastly, we found that participants who valued human resource development scored significantly higher on measures of cognition than those who did not value it. Based on these results, we advocates social change that encourages the cultivation of talent through lifelong learning programs that can positively affect one's unique identity, not just wife and mother, and provide opportunities for self-development.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.147-168
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• 2019

This paper explores strategies for building an automobile logistics cluster in PyeongtaekDangjin Port, which needs to be developed and operated for automobile related value-added logistics services. The future of Korean automobile exports seems gloomy, but many domestic ports, including PyeongtaekDangjin Port, are struggling to secure a position as automobile ports by expanding port facilities to attract exports and transshipment vehicles. PyeongtaekDangjin Port is currently the best automobile port as it is under good conditions for building an automobile logistics cluster. Ssangyong Motor Co., Kia Motors Corp., Samsung Electronics Co., and LG Electronics Inc., which are located nearby, can secure enough land to build an automobile logistics cluster by developing a port distribution complex in the future. This will promote the sustainable development of PyeongtaekDangjin Port by creating a logistics hub, specifically an automobile logistics hub, which would allow diverse cultures and experiences to respond appropriately to future mobility development.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.151-161
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• 2016

ICT-convergence cluster is considered as critical policy means because it can create higher value-added products and services in the era of creative economy. Previous research has focused on comprehensive ICT-convergence cluster strategy based on Porter's diamond model. This paper adopted AIDA(Attention, Interest, Desire, Action) model and investigated a specific domain of government supporting policies related to non-R&D support. For two weeks, we gathered and analyzed 181 data from companies located in Chungbuk province. The results showed that support for technology, commercialization, and participation conditions positively leads to companies' interest in ICT-convergence cluster, which, in turn, makes positive impact on their intention to participate in it. It is significant that this paper verified AIDA model in the Government-to-Business(G2B) context. Future research will need to adapt AIDA model to national projects.

• Bulletin of the Korean Chemical Society
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• v.34 no.11
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• pp.3327-3334
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• 2013

Infrared multiphoton dissociation (IRMPD) spectra of various protonated 1,2-diaminoethane-water clusters DAE-$H^+-(H_2O)_n$ (n = 1-6) were measured in the wavelength range of 3000-3800 $cm^{-1}$. The IRMPD spectra of the well separated ionic clusters were simulated by the MP2 method employing various basis sets. Comparison of the IRMPD spectra with the theory indicates that each cluster may exist as several low-lying conformers, and the sum spectra of the various conformers reveal almost one to one correspondence between theory and experiment. Free N-H and O-H stretches are observed in the ranges of 3400-3500 and 3600-3800 $cm^{-1}$, respectively. The $O-H{\cdots}N$ and $N-H{\cdots}O$ stretches are, however, observed in the broad region of 3000-3600 $cm^{-1}$. The theoretical calculations on DAE-$H^+-(H_2O)_n$ (n = 1-4) show gradual decrease of the average binding energy between DAE-$H^+$ and $H_2O$ as the cluster size increases, attaining the lowest value of 55 kJ/mol when n = 4. We found a low energy barrier of 21 kJ/mol to the isomerization converting the lowest energy cluster of DAE-$H^+-(H_2O)_n$ to the second lowest one.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.96-107
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• 2006

This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.551-566
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• 2013

This study aims to evaluate the industrial cluster policy implemented in Korea during the last decade or so, examine whether it can still be a valid policy measure in the creative economy regime, and propose policy directions for the future. It is evaluated that the cluster policy has contributed to increasing productivity by improving networks between companies, universities and research centers and thus strengthening innovation infrastructure. The policy, however, by its characteristics of government-domination, failed to develop open-ended and flexible spontaneous clusters. Industrial clusters have the capability to contribute to the virtuous circle of creative economy by enhancing creativity and innovativeness, and subsequently by increasing value-added. In order to maximize these positive effects, a few suggestions are made, including being faithful to the very nature of clusters, e.g. geographical proximity and connectedness, intending clusters with creativity well maintained, orienting toward multi-scalar clusters with a mixture of local and global perspectives, and matching regional and industrial policies with regards to clusters.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.11
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• pp.549-560
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• 2001

Cluster system provides attractive scalability in terms of compution power and memory size. With the advances in high speed computer network technology, cluster systems are becoming increasingly competitive compared to expensive MPPs (massively parallel processors). Load balancing is very important issue since an inappropriate scheduling of tasks cannot exploit the true potential of the system and can offset the gain from parallelization. In parallel processing program, it is difficult to predict the load of each task before running the program. Furthermore, tasks are interdependent each other in many ways. The dynamic load balancing algorithm, which evaluates each processor's load in runtime, partitions each task into the appropriate granularity and assigns them to processors in proportion to their performance in cluster systems. However, if the communication cost between processing nodes is expensive, it is not efficient for all nodes to attend load balancing process. In this paper, we restrict a processor that attend load balancing by the communication cost and the deviation of its load from the average. We simulate various models of the cluster system with parameters such as communication cost, node number, and range of workload value to compare existing load balancing methods with the proposed dynamic algorithms.