• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.104-120
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• 2004

Animation character market in Korea has been dominated by licensed characters (e.g., Walt Disney′s) of which market share is 80%. While market share for Korean characters such as "Mashimaro" and "Little Dinosaur Dooly" is increasing, the application of such characters to fashion products is still limited. For the development of the Korean character market, application of original animation characters should be applied to various fashion products. The main purpose of this study was to design toddler apparel line using "Little Dinosaur Dooly," one of the most popular domestic animation characters. The design focus is the green color of Dooly because the color is the distinctive concept of the brand. Results of the study indicated that developing toddler apparel line with a Korean animation character was a meaningful attempt, as imported licensed characters were dominant in domestic fashion market. The key differentiating factor was the use of green color. In addition, use of various supporting characters, namely Dooly′s friends, demonstrated potential line extension forming animation character groups similar to Warner Brothers′"Looney Tunes."

• KIPS Transactions on Computer and Communication Systems
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• v.13 no.1
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• pp.31-37
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• 2024

Conventional secret sharing techniques often derive shares from randomly generated polynomials or planes, resulting in lengthy and complex shares that are challenging to memorize and/or manage without the aid of a separate computer or specialized device. Modifying existing secret sharing methods to use a predetermined value, such as a memorizable password or bio-metric information, offers a solution. However, this approach raises concerns about security, especially when the predetermined value lacks randomness or has low entropy. In such cases, adversaries may deduce a secret S with just (t - 1) shares by guessing the predetermined value or employing brute force attacks. In this paper, we introduce a share hardening method designed to ensure the security of secret sharing while enabling the use of memorizable passwords or biometric information as predetermined shares.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.141-142
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• 2016

Port in Northern Vietnam has been playing an important role in the logistics system the country. In recent years, the cargo throughput of the region, especially, containerized cargo has increased gradually. There are totally 11 container terminals in Northern Vietnam, concentrating in Haiphong city and Quang Ninh province. Despite of increasing demand, the competition among the terminals is becoming more and more critical. The paper, firstly, summarizes factors impacting the market share of the terminals before reveal the correlation between given factors and annual container throughput. Factor analysis will be then applied to evaluate the level of terminals' logistics infrastructure. For the conclusion, strategic thinking of terminals' logistics competitiveness will be contributed to related organizations.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.9
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• pp.78-83
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• 2006

A new measure, the distributed generation impact factor (DGIF), is used for evaluating the impact of newly introduced distributed generators on a networked distribution or a transmission system. Distribution systems are normally operated in a radial structure. But the introduction of distributed generation needs load flow calculation to analyze the networked system. In the developed framework, the potential share of every generation bus in each line flow of a networked system can be directly evaluated. The developed index does not require the solution of power flow equations to evaluate the effect of the distributed generation. The main advantage of the developed method lies in its capability of considering simultaneous outputs of multiple generation sites.

• Clinical and Experimental Reproductive Medicine
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• v.39 no.2
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• pp.41-45
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• 2012

Transcription factors govern diverse aspects of cell growth and differentiation as major switches of gene expression. Etv5, a member of the E26 transformation-specific family of transcription factors, has many stories to share when it comes to reproduction. Etv5 deficient mice show complex infertility phenotypes both in males and females. In males, the infertility phenotype exhibited by Etv5 deficiency is sexually dimorphic, and it involves both somatic cells and germ cells. In $Etv5^{-/-}$ female mice, the problem is more complicated by hormonal involvement. This review synthesizes old and new information on this versatile transcription factor-from the inadvertent discovery of its role in the testes to its newly discovered role in maintaining spermatogonial stem cells.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.860-863
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• 2002

Realizations of multirate converters are proposed using periodically time-varying (PTV) structures. By exploiting the computational redundancy of the filtering operation in a multirate filter, it is possible to implement the filter with much less hardware. In the proposed implementations, several coefficients time-share in a periodic fashion the hardware of one multiply-and-add. Therefore, each multiply-and-add circuit performs different coefficient scalings at different time instants within a period. Compared to the direct form realization, the proposed realizations reduce the hardware of an interpolator and a decimator by a factor of approximately U and M, respectively, while retaining the same processing speed, where U and M are the upsampling and downsampling factors, respectively. The approach can be used to obtain realizations for sampling rate conversion by a rational factor of U/M, where U and M are relatively prime, in which case hardware reduction by a factor of approximately UM can be achieved.

• Journal of the Ergonomics Society of Korea
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• v.24 no.1
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• pp.27-35
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• 2005

This paper describes a practical ergonomic approach for the shipbuilding industry that occupies the highest rate of work-related musculoskeletal disorders (WMSD) in Korea. Typical work processes within a shipbuilding operation were surveyed to determine the presence of risk factors associated with musculoskeletal disorders. We used interviews, document analysis, video analysis, and OWAS postural analysis to identify and quantify ergonomic risk factors that workers may be exposed to in the course of their normal work duties. Some ergonomics actions were performed to solve the problems identified in the risk factor analysis. The practical ergonomic approach has resulted in decreases in workers' accident, and increases in productivity. The ergonomic solutions developed in this study could be applied to other sectors of industry that share common features of work with shipbuilding industry.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• International Commerce and Information Review
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• v.11 no.4
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• pp.215-228
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• 2009

This research considers to analyze the importance and priority order of outsourcing partner selecting factors on plant exporters. This research deals with case study on the outsourcing in the "A" plants exporter. To obtain the goal this research, firstly, based on reviewing previous literature and taking professional advice, the selecting factors were identified and conceptualized, and we made the hierarchy model and utilized AHP in analysis method. Secondly, AHP model constructed 3 higher factors, and 9 lower factors. Thirdly, the data used for the weight values for the outsourcing partner factors were collected from outsourcing experts and officers in "A" company. The 3 higher factors were 'Firm's Competence', 'Customer/User Factor', and 'Systemic Factor', and the 9 lower factors were 'experience of outsourcing', 'competency based HR', 'market share', 'reliability', and 'communication', etc. As the results of the analysis, this research evaluated with an importance highest among selecting factors of outsourcing partner of "A" company were 'Customer/User Factor(46.5%)', 'Systemic Factor(27.8%)' and 'Firm's Competence(25.7%)'. And importance highest among lower selecting factors of outsourcing partner of "A" company were 'reliability(31.4%)', 'competency based HR(14.4%)' and 'communication(13.7%)'. The developed model and selecting factors of outsourcing partner are expected to contribute on effective decisions on plants exporters. Managerial implications and future research directions are suggested based on findings.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.197-215
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• 2015

Recently, many internet users are using cloud computing. Users can manage, store and share their data and information by using personal cloud storage. In this paper, we aim to figure out influencing factors on personal cloud storage selection. The causal relationship between factors were identified through a importance analysis by using AHP(Analytic Hierarchy Process). AHP is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. Research model consists of upper factorsincluding system factor, service factor and user factor. 12 lower factors and 6 alternatives were also analyzed. Asa result, system factor of 3 upper factors was found as the most important factor. Purpose-coincidence, security andaccessibility were top 3 factors among lower factors. N drive showed top importance value. We also conducted ANOVAby classifying 4 groups according to gender, age, currently used cloud and cloud to use. The results of this researchcan be useful guidelines for cloud computing industry.