• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.440-458
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• 2019

Based on a 3D body data and pattern comparison analysis, this study developed a formal jacket pattern for men in their late 30s. In order to select the representative type of men in their late 30s, factor analysis and cluster analysis were conducted on data form 319 men, 35 to 39 years old using the anthropometric data from The 7th Size Korea (2015) as the representative body type. The surface of the body surface was developed using a 3D human shape of a male in his 30s in The 6th Size Korea (2010). Then the shape was changed to a flat pattern that confirmed the necessary elements for setting the shape and dimension. Cluster analysis revealed type B as the representative type because it showed the best shape characteristics for men in the late 30s. The drafting method of the final research pattern is as follows. Jacket length: stature/2.5cm, back length: stature/5+8.5cm (constant)], armhole depth: [stature/ 7-1.5cm (constant)], back width: [C/9+9.5cm (constant)]+1cm (ease), front width: [C/9+8.5cm (constant)]+1cm (ease), armscye depth: C/8, front waist darts: 1cm, front closure amount: 2cm.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.11-16
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• 2019

People are subject to time sanctions in a busy modern society. Therefore, people find it difficult to eat simple junk food and even exercise, which is bad for their health. As a result, the incidence of chronic diseases is increasing. Also, the importance of making accurate and appropriate inferences to individual characteristics is growing due to unnecessary information overload phenomenon. In this paper, we propose a knowledge reasoning model using association rules and cluster analysis of multi-contexts. The proposed method provides a personalized healthcare to users by generating association rules based on the clusters based on multi-context information. This can reduce the incidence of each disease by inferring the risk for each disease. In addition, the model proposed by the performance assessment shows that the F-measure value is 0.027 higher than the comparison model, and is highly regarded than the comparison model.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.2
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• pp.42.2-43
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• 2018

When galaxy clusters interact, the intergalactic gas collides, forming shocks that are characterized by a low sonic Mach number (~3) but a comparatively high Alfvenic Mach number (~30). Such shocks behave differently from the more common astrophysical shocks, which tend to have higher sonic Mach numbers. We wish to determine whether these shocks, despite their low sonic Mach number, are capable of accelerating particles and thereby contributing to the cosmic ray spectrum. Using the PIC-MHD method, which separates the gas into a thermal and a non-thermal component to increase computational efficiency, and relying on existing PIC simulations to determine the rate at which non-thermal particles are injected in the shock, we investigate the evolution of galaxy cluster shocks and their ability to accelerate particles. Depending on the chosen injection fraction of non-thermal particles into the shock, we find that even low-Mach shocks are capable of accelerating particles. However, the interaction between supra-thermal particles and the local magnetic field triggers instabilities and turbulence in the magnetic field. This causes the shock to weaken, which in turn reduces the effectiveness of the supra-thermal particle injection. We investigate how this influences the shock evolution by reducing the particle injection rate and energy and find that a reduction of the particle injection fraction at this stage causes an immediate reduction of both upstream and downstream instabilities. This inhibits particle acceleration. Over time, as the instabilities fade, the shock surface straightens, allowing the shock to recover. Eventually, we would expect this to increase the efficiency of the particle injection and acceleration to previous levels, starting the same series of events in an ongoing cycle of increasing and decreasing particle acceleration.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.95-110
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• 2020

The purpose of this study is to empirically examine organizational change for a technological application of the fourth industrial revolution. The theoretical background of this study utilized organizational change management, the fourth industrial revolution, technological innovation, and voluntary acceptance. This research method used structural equations, cluster analysis, and analysis of variance. According to the results of the study, the organizational implement system, organizational leadership, and organizational operating system provided a positive effect on the voluntary technology acceptance of organization members. The voluntary technology acceptance provided a positive effect on the effectiveness of individual task innovation. However, organizational institutionalization among the independent variables did not affect voluntary acceptance. All independent variables except the organizational institutionalization had a partial mediating effect in the mediating effect verification. Meanwhile, The three groups by the cluster analysis were classified as new technology apathy, preference, and anxiety groups, and differences appeared among groups in the importance of organizational change variables. The organizational implement system in the technology apathy group and the organizational operating system in the technology anxiety group have a positive effect on voluntary technology acceptance. The technology preference group shows that a positive effect on organizational leadership and a negative effect on organizational institutionalization for voluntary technology acceptance. This study analyzed the technology application of the fourth industrial revolution in the organization based on the theory of organizational change. There has been reexamined the organizational change theory based on the new technology acceptance by the change of external environment in the fourth industrial revolution and the importance of technology innovation. As a practical implication, firms that are interested in a new technology of the fourth industrial revolution should prioritize preparing an implementation system when designing organizational changes.

• The Journal of Engineering Geology
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• v.33 no.1
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• pp.1-13
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• 2023

Predicting earthquakes is difficult due to the complexity of the systems underlying tectonic phenomena and incomplete understanding of the interactions among tectonic settings, tectonic stress, and crustal components. The Korean Peninsula is located in a stable intraplate region with a low average seismicity of M 2.3. As public interest in the earthquake grows, we analyzed earthquakes on the Korean Peninsula by attempting to predict spatio-temporal earthquake patterns and magnitudes using Facebook's Prophet model based on deep learning, and here we discuss seismic distribution zones using DBSCAN, a cluster analysis method. The Prophet model predicts future earthquakes in Chungcheongbuk-do, Gyeonggi-do, Seoul, and Gyeongsangbuk-do.

• Journal of the Korean Vacuum Society
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• v.7 no.s1
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• pp.57-77
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• 1998

Heteroepitaxial $Y_2O_3$ films were grown on a Si(111) substrate by ionized cluster beam deposition(ICBD) in ultra high vacuum, and its qualities such as crystllitnity, film stress, and morphological characteristics were investigated using the various measurement methods. The crystallinity was investigated by x-ray diffraction (XRD) and reflection high energy electron diffraction (RHEED). Interface crystallinity was also examined by Rutherford backscattering spectroscopy(RBS) channeling, transmission electron microscopy(TEM). The stress of the films was measured by RBS channeling and XRD. Surface and interface morphological characteristics were investigated by atomic force microscopy (AFM) and x-ray scattering method. Comparing the interface with the surface characteristics, we can conclude that many defects at the interface region were generated by interface reaction between the yttrium metal and SiO2 layer and by ion beam characteristic such as shallow implantation, so that they influenced the film qualities. The film quality was dominantly depended on the characteristic temperature range. In the temperature range from $500^{\circ}C$ to $600^{\circ}C$, the crystallinity was mainly improved and the surface roughness was drastically decreased. On the other hand, in the temperature range from $600^{\circ}C$ to $700^{\circ}C$, the compressive stress and film density were dominantly increased, and the island size was more decreased. Also the surface morphological shape was transformed from elliptical shape to triangular. The film stress existed dominantly at the interface region due to the defects generation.

• The Journal of Bigdata
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• v.7 no.1
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• pp.193-212
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• 2022

The Bass Diffusion Model is one of the most successful models in marketing research, and management science in general. Since its publication in 1969, it has guided marketing research on diffusion. This paper illustrates the usage of the Bass diffusion model, using mobile cellular subscription diffusion as a context. We fit the bass diffusion model to three large developed markets, South Korea, Japan, and China, and the emerging markets of Vietnam, Thailand, Kazakhstan, and Mongolia. We estimate the parameters of the bass diffusion model using the nonlinear least square method. The diffusion of mobile cellular subscriptions does follow an S-curve in every case. After acquiring m, p, and q parameters we use k-Means Cluster Analysis for grouping countries into three groups. By clustering countries, we suggest that diffusion rates and patterns are similar, where countries with emerging markets can follow in the footsteps of countries with developed markets. The purpose was to predict the timing and the magnitude of the market maturity and to determine whether the data follow the typical diffusion curve of innovations from the Bass model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2B
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• pp.237-248
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• 2008

Precipitation variability in Korea is mainly influenced by climate circulation such as sea surface temperature, not a local convection. Therefore, this study investigates relationship between monthly precipitation of 61 station observed by Korea Meteorological Administration and global sea surface temperatures (SSTs). The main components of monthly precipitation in Korea are extracted by a method which consists of the principal analysis combined with the cluster analysis, to examine the correlation between monthly rainfalls and SSTs. The relationships between main components of monthly precipitation and SSTs exists in Pacific Ocean. At the result of Wavelet Transform analysis, The 2-4 year band have a strong wavelet power spectrum and the low frequency. the correlation coefficient between low frequency components of monthly rainfalls and SSTs calculated bigger then correlation coefficient between main components and SSTs. Hence, these results propose a prediction possibility of monthly precipitations using the varition of SSTs.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.568-577
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• 2023

This study examined how middle-aged female consumers' environmental consciousness influences their attitudes and ethical purchasing behavior toward RUR (recycling, upcycling, and reuse) knit products. The research employs a survey method, targeting 30-40 year old women residing in Seoul and Gyeonggi-do Province. On-line and off-line data collection were conducted. The following conclusions emerged through statistical analyses, including factor analysis, cluster analysis, t-test, and regression analysis. Firstly, respondents' environmental consciousness variables were classified into two factors, delineating high and low environmental consciousness clusters, demonstrating significant differences between them. Secondly, the high environmental consciousness cluster exhibited more positive consumer attitudes and ethical purchasing behavior towards RUR knit products. Moreover, it was established that environmental pollution consciousness and eco-friendly product purchase consciousness influenced environmental consciousness on consumer attitudes and ethical purchasing behavior. Lastly, the study confirmed that consumer attitudes mediated environmental consciousness and ethical purchasing behavior. In conclusion, this research establishes a meaningful link between environmental consciousness, consumer attitudes, and ethical purchasing behavior in 30-40 year old women. Environmentally conscious groups positively influence attitudes toward RUR knitted fashion and promote ethical purchasing behavior. Consequently, it is recommended that knit fashion companies prioritize environmental consciousness and eco-friendly products in their marketing strategies. Furthermore, diversifying the application of RUR knit products, coupled with eco-friendly production techniques, can amplify their appeal and utility, ensuring a positive impact on consumer behavior.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.1067-1083
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• 2022

The objectives of this study were to classify the types of elderly households and to compare the characteristics of their dietary lifestyle. Panel data surveyed by Korea Rural Economic Institute (KREI) for Food Purchase Attitudes over three years (2019 - 2021) were utilized for the analysis. Through a factor analysis, five common factors were extracted out of 19 basic variables related to dietary style, which indicate two kinds of consumer competency index (safe diet, traditional diet) and three kinds of purchase frequency (healthy food, meat & fish, fresh seafood). Applying the cluster analysis method, by using socioeconomic variables along the five common factors, elderly households aged 60 or older were grouped into four types. As a result, Type 1 elderly households accounted for 50.8%, Type 2 for 16.2%, Type 3 for 27.8%, and Type 4 for 5.2% out of all 870 elderly households. Type 1 is characterized as a low-income vulnerable class with a poor diet, Type 2 as a middle-income class with a healthy food-oriented diet, whereas Type 3 was classified as a middle-income class with a meat-oriented diet, and Type 4 as a high-income class with diverse dietary culture. It is necessary to expand the agri-food voucher pilot project to the entire country and also increase the monthly subsidy for the Type 1 elderly households. Implementing community kitchen projects for elderly single-person households, promoting senior internships by providing incentives to companies that employ retirees, the provision of education by local governments on a safe and balanced diet for Types 2 and 3, and the promotion of an elderly-friendly social environment are also recommended.