• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.395-406
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• 2017

The purpose of this study is to identify the pattern of daily electricity demand through clustering and classification. The hourly data was collected by KPS (Korea Power Exchange) between 2008 and 2012. The time trend was eliminated for conducting the pattern of daily electricity demand because electricity demand data is times series data. We have considered k-means clustering, Gaussian mixture model clustering, and functional clustering in order to find the optimal clustering method. The classification analysis was conducted to understand the relationship between external factors, day of the week, holiday, and weather. Data was divided into training data and test data. Training data consisted of external factors and clustered number between 2008 and 2011. Test data was daily data of external factors in 2012. Decision tree, random forest, Support vector machine, and Naive Bayes were used. As a result, Gaussian model based clustering and random forest showed the best prediction performance when the number of cluster was 8.

• Journal of agricultural medicine and community health
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• v.36 no.1
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• pp.25-35
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• 2011

Objectives: This study aimed to compare depression and social support according to general characteristics and to investigate the influence of social support on depression. Methods: This study analyzed raw data from a project funded by Jeju Province. Data were collected through home visit interview with 750 households selected by using a randomized cluster sampling method. CES-D was used to measure depression, and the Medical Outcomes Study Social Support Survey was used to measure social support. The data of 1,155 subjects were analyzed using t-test, ANOVA, and regression. Results: The mean was 11.35 for depression and 75.53 for social support. Women showed a higher depression score and a lower social support score than men did. Older people; the divorced or the bereaved; and those in groups comprising people with lower education, lower social class, poor health, or high stress presented higher depression and lower social support. The result of stepwise regression showed that social support was one of the predictive variables of depression, and 22% of variance was explained by social support in this study. Conclusions: Social support was a powerful predictive variable of depression, and it was suggested that to prevent and manage depression, strategies that enhance social support should be developed and evaluated.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.155-171
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• 2013

This research paper is focused on a theoretical study of the influences the structural factors and social capital within an industrial cluster have on innovative performance, and expanding the understanding of the influence through positive analyses based on public surveys. The study adopts a concept of social capital that can formulate a social relationship, and maintains that the social capital either works as a mediator for structural factors or independently exerts strong influences on innovative performance. In the research, the social capital is divided into two categories, bonding social capital and bridging social capital, and their influences are analyzed separately. The result of the analyses shows that unlike the traditional perception based on Korea's unique culture, the influence of bridging social capital is stronger than that of bonding social capital. It is also found that the structural factors exert influence by themselves on the contrary the previous study, simultaneously they still have influence upon innovative performance through bridging social capital calculated via the elements such as secondary relationships, network activity support and organizational openness.

• Women's Health Nursing
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• v.21 no.3
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• pp.232-240
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• 2015

Purpose: The purpose of this descriptive survey study was designed to identify the stress coping types of married immigrant pregnant women and find out the differences in maternal-fetal attachment and maternal identity based on each types. Methods: 151 married immigrant women who visited 3 women's hospitals located in J-do for pre-pregnancy checkup were selected as study objects. Data were analyzed by dsecriptive statistics, cluster analysis, t-test, ANOVA, and $Scheff{\acute{e}}$ multiple comparison test. Results: Cluster analysis revealed 4 distinct stress coping styles; low stress-coping involvement social support-oriented type, high stress-coping involvement hopeful thinking type, low stress-coping involvement type, effective stress coping types. Women frequently using effective stress coping type among the four types reported higher maternal-fetal attachment. The group of active coping styles got significantly higher score on maternal identity. Conclusion: Proper stress coping of married immigrant pregnant women regarding pregnancies proved to result in high levels of maternal-fetal attachment and maternal identity. Studies measuring the stress coping styles that affect pregnancies should be continuously conducted.

• Journal of The Korean Astronomical Society
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• v.37 no.5
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• pp.455-460
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• 2004

There have been many speculations about the presence of cosmic ray protons (CRps) in galaxy clusters over the past two decades. However, no direct evidence such as the characteristic $\gamma$-ray signature of decaying pions has been found so far. These pions would be a direct tracer of hadronic CRp interactions with the ambient thermal gas also yielding observable synchrotron and inverse Compton emission by additionally produced secondary electrons. The obvious question concerns the type of galaxy clusters most likely to yield a signal: Particularly suited sites should be cluster cooling cores due to their high gas and magnetic energy densities. We studied a nearby sample of clusters evincing cooling cores in order to place stringent limits on the cluster CRp population by using non-detections of EGRET. In this context, we examined the possibility of a hadronic origin of Coma-sized radio halos as well as radio mini-halos. Especially for mini-halos, strong clues are provided by the very plausible small amount of required CRp energy density and a matching radio profile. Introducing the hadronic minimum energy criterion, we show that the energetically favored CRp energy density is constrained to $2\%{\pm}1\%$ of the thermal energy density in Perseus. We also studied the CRp population within the cooling core region of Virgo using the TeV $\gamma$-ray detection of M 87 by HEGRA. Both the expected radial $\gamma$-ray profile and the required amount of CRp support this hadronic scenario.

• Asian Journal of Atmospheric Environment
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• v.4 no.1
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• pp.9-19
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• 2010

The size distribution of airborne particulate matter (PM) and the concentrations of associated metallic elements were investigated in a busy urban region of a typical Korean industrial city. The PM concentrations measured during the spring, except for those in the size range of 1.1 to 2.1 ${\mu}m$, were slightly higher than the PM concentrations in the summer. Coarse particles contributed greatly to the variation in PM concentrations in the spring, while fine and submicron particles contributed largely to the variation in PM concentrations in the summer. The difference in size modes of the PM concentrations between spring and summer may be explained by the Asian dust effect and its accompanying wind direction and speed. Extremely high enrichment factors (EFs) values (6,971 to 60,966) for all of the size distributions in PM were identified for cadmium (Cd). High EFs values (12 to 907) were also identified for other heavy metals including Cr, Cu, Ni, Pb, Zn and Mn. Low EF values (0.29 to 8.61) were identified for Ca, K, Mg and Na. These results support the common hypothesis that most heavy metals in ambient PM have anthropogenic sources and most light metals have crustal sources. The results of principal components analyses and cluster analyses for heavy metals indicate that the principal sources of PM and metals were emissions from non-ferrous metal smelters, oil combustion, incinerators, vehicular traffic and road dust.

• Journal of Advanced Navigation Technology
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• v.17 no.2
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• pp.225-233
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• 2013

Recently, Cloud Computing and Big Data has become a buzzword in the field of IT. In this paper, as part of special efforts to support small businesses (SMB) in these situations, we designed the basic prototypes ver. 0.1, 0.2, and 0.5 for Hadoop cluster based on private cloud infrastructure and implemented the part of basic prototypes. And we verified the performances of the basic prototypes using ASA Dataset.

• The Bulletin of The Korean Astronomical Society
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• v.39 no.2
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• pp.83.2-83.2
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• 2014

Flare and rotational variabilities induced by stellar activity are important for studying the effect of magnetic fields on the evolution of red dwarf stars. The level and frequency of magnetic activity in these stars have a different aspect at every moment of the observations due to the effect of age-rotation relation. The use of both tracers is thus essential to have a relatively homogeneous set of stellar activity data for statistical studies. The archival light curves and imaging data of the open cluster M37 taken by MMT 6.5m telescope were used for this work. In order to achieve much more accurate photometric precisions and also to make the most efficient use of the data, the entire imaging database were re-analyzed with our new time-series photometry technique and carefully calibration procedures. Based on the new light curves, we study, for the first time, a variety of aspects of those two variabilities in red dwarfs and their relation to magnetic activity. In this talk, we present all observational evidences that support the idea that the strength of magnetic activity is closely connected with the rotation rate of a star and its evolutionary status (age-activity-rotation paradigm). In conclusion, we suggest future directions to improve our understanding of stellar activity in cool stars with photometric time-series data.

• Clean Technology
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• v.22 no.1
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• pp.62-72
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• 2016

These days, it seems to be a core time to build proactive prevention systems for small and medium sized enterprises due to the reinforced safety in the production process and the strong environmental regulations (ES) both at home and abroad. On the other hand, a network of experts that combines the industrial environment and production safety as well as even the knowledge services companies are not quite enough to prepare to support them. In this study, through a survey of experts the current statue of the convergence of industrial environment and production safety were reviewed, and the structure of knowledge ES cluster was proposed to overcome this current state. Detailed strategies such as the development and distribution of ES convergence methodology, ES efficiency analysis and an ES roundtable.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.9
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• pp.1145-1157
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• 1999

본 논문에서는 RFC 2022에서 제안한 MARS 모델을 기반으로 하여 단일 대규모 클러스터를 가지는 ATM 망에서 다중의 멀티캐스팅 서버(MCS)를 이용한 멀티캐스팅 방안을 제안하고 그 성능을 평가하였다. 클러스터 내의 한 ATM 호스트가 특정 IP 멀티캐스트 그룹에 가입할 경우 ATM 호스트의 위치와 이미 존재하는 멀티캐스팅 서버들 사이의 전송 지연을 고려하여 가능한 한 종단간 전송 지연을 최소화하는 멀티캐스팅 서버를 선택하는 방안을 기술하였다. 이 방안은 최단거리 경로 알고리즘(shortest path algorithm)에 기반하여 최적의 MCS를 선정하고 송수신자 사이의 최소 지연을 가지는 멀티캐스트 트리를 구성한다. 다양한 망 위상에서 MCS의 분포 패턴을 다르게 할 경우에도 이 방안은 멀티캐스트 트리의 평균 전달 지연을 줄이는 것을 시뮬레이션을 통하여 확인하였다.Abstract In this paper, we proposed a scheme to support multiple MCSs over a single and large cluster in ATM networks, evaluated its performance by simulation. When an ATM host requests joining into a specific multicast group, the MARS designate a proper MCS among the multiple MCSs for the group member to minimize the average path delay between the sender and the group members. This scheme constructs a multicast tree through 2-phase partial multicast tree construction based upon the shortest path algorithm.We reduced the average path delay in multicast tree using our scheme under various cluster topologies and MCS distribution scenarios.