• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.309-319
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• 2009

This study's goal is to analyze the color characteristics of Blue used in men's fashion for design developing process. First, we researched the previous studies and examined documents about color characteristics of Blue in general as well as coloration in fashion design and men's fashion. We composed color samples by collecting two-color coloration used in men's fashion collection for 5 years from 2004 S/S to 2008 F/W through a specialized fashion information web-sites. We limited the colors from Blue Green(BG) to Purple Blue(PB). Second, we analyzed the characteristics of hue combination and tone combination. A total of 351 pictures were collected and RGB and HV/C value were converted with Munsell Conversion program(ver.8.0.1). Color data has been sorted to 10 hues and 12 PCCS tones. From this, we were able to figure out that similar/same hue coloration was used more than contrary hue coloration and similar/same tone coloration was used more than contrary tone coloration for Blue. We've limited Blue coloration characteristics of men's fashion to two-color coloration for an analysis; the succeeding study will need to examine on the characteristics of multi-coloration and detailed Blue coloration image by various garments.

• Journal of Astronomy and Space Sciences
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• v.29 no.2
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• pp.97-101
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• 2012

Monitoring sunspots consistently is the most basic step required to study various aspects of solar activity. To achieve this goal, the observers must regularly calculate their own correction factor $k$ and keep it stable. Relatively recently, two observing teams in South Korea have presented interesting papers which claim that revisions that take the yearly-basis $k$ into account lead to a better agreement with the international relative sunspot number $R_i$, and that yearly $k$ apparently varies with the solar cycle. In this paper, using artificial data sets we have modeled the sunspot numbers as a superposition of random noise and a slowly varying background function, and attempted to investigate whether the variation in the correction factor is coupled with the solar cycle. Regardless of the statistical distributions of the random noise, we have found the correction factor increases as sunspot numbers increase, as claimed in the reports mentioned above. The degree of dependence of correction factor $k$ on the sunspot number is subject to the signal-to-noise ratio. Therefore, we conclude that apparent dependence of the value of the correction factor $k$ on the phase of the solar cycle is not due to a physical property, but a statistical property of the data.

• Journal of the Korean Solar Energy Society
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• v.25 no.4
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• pp.93-100
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• 2005

Character and illuminance distribution of daylighting is very important for the architectural plan in museum. Those data show bases for exhibition space design with daylighting and play a decisive role in visual perception of articles and space aesthetic. The goal of this paper was therefore to analyze the illuminance distribution in fine art museum with 3 typical girdle skylight types which are devided according to the art of protection from glare. This Experiment proved that they had a striking contrast with regard to the ratio of daylight illumination and illuminance distribution in spite of the same purpose of those development. The girdle skylight with a translucent glass showed the strongest value of the ratio of daylight illumination, but inequable illuminance distribution in space, excepting the area of the wall. However, the latticed reflector of light refracted daylight in the direction of wall and made illuminance distribution very equable in whole space. The ratio of daylight illumination at the girdle skylight which was located at the verge of the ceiling, was highest at the upper part of the wall and was reduced gradually from there, by way of the middle and under part of the wall, to the center of space.

• Journal of Agricultural Extension & Community Development
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• v.23 no.2
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• pp.157-167
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• 2016

Nowadays a sense of community based on our community further weakens due to globalization, industrialization, the development of transportation and communication, etc and the community as cultural and psychological units is focused on. In other words, the concept that emphasizes the aspect of 'we' sharing the unique value and goal of community is used. In this current situation, school as an important community organization has been in the spotlight. In particular, college compared with other communities has a special influence on the community. Therefore it is regarded as an important community organization and its importance as part of our efforts to decrease the college students wastage rates continues to grow. The study about school as an important community organization has been conducted actively. However the people in most studies are elementary, middle, and high school students, so there are limitations to what these study findings apply to college. Therefore, this study conducted factor analysis of college sense of community for local college students, categorized it, analyzed the factors having influence on each factor and then looked for suggestions of ways to strengthen college sense of community. According to study, sense of community is categorized into three factors such as 'sense of belonging', 'sense of solidarity', and 'sense of emotional closeness'. After analyzing the factors influencing types of sense of community, factors relevant to them are grades, intimate friends, subjective well-being, community volunteer work, college service satisfaction, and so on.

• Smart Structures and Systems
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• v.17 no.1
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• pp.135-147
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• 2016

This paper describes a smart structural system, which uses smart materials for real-time monitoring and active control of bolted-joints in steel structures. The goal of this research is to reduce the possibility of failure and the cost of maintenance of steel structures such as bridges, electricity pylons, steel lattice towers and so on. The concept of the smart structural system combines impedance based health monitoring techniques with a shape memory alloy (SMA) washer to restore the tension of the loosened bolt. The impedance-based structural health monitoring (SHM) techniques were used to detect loosened bolts in bolted-joints. By comparing electrical impedance signatures measured from a potentially damage structure with baseline data obtained from the pristine structure, the bolt loosening damage could be detected. An outlier analysis, using generalized extreme value (GEV) distribution, providing optimal decision boundaries, has been carried out for more systematic damage detection. Once the loosening damage was detected in the bolted joint, the external heater, which was bonded to the SMA washer, actuated the washer. Then, the heated SMA washer expanded axially and adjusted the bolt tension to restore the lost torque. Additionally, temperature variation due to the heater was compensated by applying the effective frequency shift (EFS) algorithm to improve the performance of the diagnostic results. An experimental study was conducted by integrating the piezoelectric material based structural health monitoring and the SMA-based active control function on a bolted joint, after which the performance of the smart 'self-monitoring and self-healing bolted joint system' was demonstrated.

• Journal of the Korean Society of Food Culture
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• v.36 no.4
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• pp.333-340
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• 2021

This study was performed to improve the effectiveness of dietary education using a food ethics approach. Dietary education is a way of practicing food ethics based on Korean culture. The core values of dietary education and the keywords related to food ethics can be combined into environment·life, health·wisdom, and consideration·happiness. Sustainable dietary life comprises the value system of dietary education based on core values. To reach the ultimate goal of food ethics-sustaining the survival of the human race, the coexistence of humans and nature, the coexistence of humans and humans, and the fulfillment of food requirements are needed. These needs yield certain core principles, including respect for life, environmental preservation, justice, the priority of consumers, dynamic equilibrium, and the priority of safety. The extended ethical matrix with six core principles and three interest groups can be used for an ethical analysis either qualitative or quantitative. It is believed that if food ethics are introduced into dietary education programs, the effectiveness of education can be improved.

• Journal of Distribution Science
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• v.19 no.7
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• pp.19-27
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• 2021

Purpose: Former research has argued that organizations in distribution channels face several issues to make a better team-based system. The purpose of the present research is to measure between employee's job performance and three major issues which disturb a solid team system. Research design, data and methodology: Scant past studies are available to guide for team practitioners which elements should be eliminated to improve team performance. To achieve this goal, the present authors obtained 267 US workers in distribution channels and conducted ANOVA test to measure the relationship between three team issues (Free-rider, Trust, and Communication) and job performance. Results: Our statistical findings clearly suggests that there was a statistically recognizable difference at the significance level of probability between the mean value of employees' job performance and three major issues, showing the high degree of job performance can be occurred by eliminating three major team issues. Conclusions: Therefore, the present research concludes that it is necessary that team-based management in the supply chain should focus on removing free-rider issues and also adopt open communication lines to overcome team-building challenges due to communication. Above all else, the ability to increase trust can be enhanced via task delegation and more team members' engagement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1342-1359
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• 2021

The data deduplication technique identifies the duplicates and minimizes the redundant storage data in the backup server. The chunk level deduplication plays a significant role in detecting the appropriate chunk boundaries, which solves the challenges such as minimum throughput and maximum chunk size variance in the data stream. To provide the solution, we propose a new chunking algorithm called Dynamic Prime Chunking (DPC). The main goal of DPC is to dynamically change the window size within the prime value based on the minimum and maximum chunk size. According to the result, DPC provides high throughput and avoid significant chunk variance in the deduplication system. The implementation and experimental evaluation have been performed on the multimedia and operating system datasets. DPC has been compared with existing algorithms such as Rabin, TTTD, MAXP, and AE. Chunk Count, Chunking time, throughput, processing time, Bytes Saved per Second (BSPS) and Deduplication Elimination Ratio (DER) are the performance metrics analyzed in our work. Based on the analysis of the results, it is found that throughput and BSPS have improved. Firstly, DPC quantitatively improves throughput performance by more than 21% than AE. Secondly, BSPS increases a maximum of 11% than the existing AE algorithm. Due to the above reason, our algorithm minimizes the total processing time and achieves higher deduplication efficiency compared with the existing Content Defined Chunking (CDC) algorithms.

• Geomechanics and Engineering
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• v.23 no.6
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• pp.575-585
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• 2020

In this numerical study, the 2D dynamic behavior of a clayey basin and its effect on damage pattern over basin edge are investigated. To attain this goal, a fully nonlinear time domain analysis method has been applied. Then, the fragility curves of the considered two typical industrial structures for that certain point are estimated using the acceleration time histories recorded at each surface point. The results show that the use of the damage related parameters in site effect analyses, instead of amplification curves, can yield more realistic estimation of the basin dynamic response. In a distance about 150 m from outcrop at the basin edge, the differences between fragility curves increase when increasing the distance from outcrop with respect to the reference rock site. Outside this region and towards the basin center, they tend to occur in rather single curves. Furthermore, to connect the structural damage to the basin edge effect, the earthquake demand value at different points for two typical structures was evaluated. It was seen that the probability of occurrence of damage increases over 250 m from outcrop, while the effect of the basin edge was limited to 150 m in case of the basin edge evaluation by using fragility curves.

• Smart Media Journal
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• v.11 no.5
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• pp.38-47
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• 2022

Honey is one of the most significant ingredients in conventional food production in different regions of the world. Honey is commonly used as an ingredient in ethnic food. Beekeeping is performed in various locations as part of the local food culture and an occupation related to pollinator production. It is important to conduct beekeeping so that it generates food culture and helps regulate the regional environment in an integrated manner in preserving and improving local food culture. This study analyzes different types of environmental factors of a smart bee farm. The major goal of this study is to determine the best prediction model between the linear regression model (LM) and the support vector regression model (SVR) based on the environmental factors of a smart bee farm. The performance of prediction models is measured by R² value, root mean squared error (RMSE), and mean absolute error (MAE). From all analysis reports, the best prediction model is the support vector regression model (SVR) with a low coefficient of variation, and the R² values for Farm inside temperature, bee box inside temperature, and Farm inside humidity are 0.97, 0.96, and 0.44.