• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.172-180
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• 2016

This study aimed to evaluate how universal design principles are embodied in the Public Service Center. It will be used for planning the basic materials of the interior environmental design for Public Service Center facilities and for developing ways to improve interior environments in order for them to be conveniently used. In studying a method, we conducted an Universal Design check list to evaluate interior environment, targeting five Public Service Center facilities located in Gwangju Metropolitan city. This study investigated the Universal Design suitability of center interior Public Service Center on the basis of the tools for Universal Design check list which was composed of supportive design, adaptable design, communicability, safety-oriented design, and accessible design. Through theoretically considering the services of Gwangju's old city hall public service center, which got divided into common space, public service space, waiting space and informative material space. Evaluation on universal design application level showed that those with best universal design application are supportiveness and safety in public service space, communication efficacy and safety in waiting space and safety and accessibility in informative material space and acceptability in waiting space had the lowest application level.

• Journal of the Korean Society of Costume
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• v.63 no.2
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• pp.1-13
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• 2013

The purpose of this study is to examine how the features of network in the Internet fashion community affect the diffusion of fashion information to members in the online community with other variables (informative features, consumer features). Communities that actively exchange fashion information among their members were selected for the social network analysis and hypothesis verification. As a result, we found that a few information activists influenced most of the information receivers in the network features of fashion communities. Also, we found that the informative features (usefulness, reliability), consumer features (NFC, innovation) as well as the network features (connectivity, power), have a significant influence on the diffusion of Internet fashion information which verified the importance of the network features in the study on the Internet.

• The Journal of Industrial Distribution & Business
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• v.10 no.8
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• pp.7-15
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• 2019

Purpose - This study aims to examine the influence of social network service (SNS) on the brand image of infant food products; highlight the effects of brand image on the purchasing and word-of-mouth intention; and explore the effects of the purchasing intention on the word-of-mouth intention. Research design, data, and methodology - Based on previous studies, it was found that the fundamental SNS characteristics for infant food products are reliability, interactivity, and informative. Using AMOS 22.0 and structural equation modeling (SEM), 288 questionnaires were surveyed as a statistical method for examining the proposed hypotheses. Results - The analysis shows that reliability and informative have significant impacts on brand image, whereas interactivity does not. Again, the effect of brand image of infant food products on the purchase and word-of-mouth intention is statistically significant. However, the results differ across the "working housewife" and the "full-time housewife" groups. The connection between reliability and brand image was found to be statistically significant in this study. Conclusions - This study analyzes the effects of SNS characteristics on the brand image of infant food products and the effect of the brand image on purchase and word-of-mouth intentions, and provides practical implications for the same.

• Archives of design research
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• v.19 no.5 s.67
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• pp.293-302
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• 2006

Since the late 20C, the development of informative electronic technology has expanded human beings' spatial recognition from three-dimension into multi-dimension. Also space has formed mutual organic relation with the human being, since they started having the image responding ability of experience and recognition. The mutual organic relation has appeared in exhibition space aggressively introduced informative electronic technology from existing physical space. Therefore, m carried out a compartive study into the status of exhibition facilities and the form of interaction focusing on exhibition facilities as a medium of interaction between information and users in experiential exhibition space to which informative electronic technology had been introduced. The ultimate purpose of the study was that the phenomena, which had been anticipated from happenings in mutual organic relation between human beings and space, was reflected on space as a place of various communication activities. Hereafter, researches and studies on further exhibition should be continued to clarify the mutual relationship between exhibition space and user trends not only through exhibition space but also through the study of user trends that are changing everyday.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.547-559
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• 2023

Proper handling of nonresponse in sample survey improves the accuracy of the parameter estimation. Various studies have been conducted to properly handle MAR (missing at random) nonresponse or MCAR (missing completely at random) nonresponse. When nonresponse occurs, the PSA (propensity score adjusted) estimator is commonly used as a mean estimator. The PSA estimator is known to be unbiased when known sample weights and properly estimated response probabilities are used. However, for MNAR (missing not at random) nonresponse, which is affected by the value of the study variable, since it is very difficult to obtain accurate response probabilities, bias may occur in the PSA estimator. Chung and Shin (2017, 2022) proposed a post-stratification method to improve the accuracy of mean estimation when MNAR nonresponse occurs under a non-informative sample design. In this study, we propose a double post-stratification method to improve the accuracy of the naive PSA estimator for MNAR nonresponse under an informative sample design. In addition, we perform simulation studies to confirm the superiority of the proposed method.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.389-394
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• 2019

The purpose of this study is to suggest guideline for better user experience of unmanned store focusing on the Seven Eleven signature. The case study was conducted to investigate the characteristics of unmanned stores in the US and China, and to conduct comparative studies with the Seven Eleven Signature Store. As a result, I was able to derive 7 items, Easy, Simplified, Accessible, Findable, Informative, Flexible, Credible that help to improve the shopping experience. We hope that the follow up study will help to improve the unmanned store in Korea and improve the experience.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.575-588
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• 2012

Exploiting unlabeled text data with a relatively small labeled corpus has been an active and challenging research topic in text mining, due to the recent growth of the amount of biomedical literature. Biomedical named-entity recognition is an essential prerequisite task before effective text mining of biomedical literature can begin. This paper proposes an Active Co-Training (ACT) algorithm for biomedical named-entity recognition. ACT is a semi-supervised learning method in which two classifiers based on two different feature sets iteratively learn from informative examples that have been queried from the unlabeled data. We design a new classification problem to measure the informativeness of an example in unlabeled data. In this classification problem, the examples are classified based on a joint view of a feature set to be informative/non-informative to both classifiers. To form the training data for the classification problem, we adopt a query-by-committee method. Therefore, in the ACT, both classifiers are considered to be one committee, which is used on the labeled data to give the informativeness label to each example. The ACT method outperforms the traditional co-training algorithm in terms of f-measure as well as the number of training iterations performed to build a good classification model. The proposed method tends to efficiently exploit a large amount of unlabeled data by selecting a small number of examples having not only useful information but also a comprehensive pattern.

• International Journal of Automotive Technology
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• v.7 no.1
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• pp.61-68
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• 2006

In design of the friction clutches of automobiles, knowledge on the thermo-elasticity a priori is very informative in the initial design stage. Especially, the precise prediction technique of maximum temperature and stress should be requested in design of mechanical clutches for their durability and compactness. In this study, an efficient and reliable analysis technique for the design of the mechanical clutches by using computer modeling and numerical method was developed. A commercial software STAR-$CD^{TM}$ was used to find the convective heat-transfer coefficients. MSC/$NASTRAN^{TM}$ software was followed to predict the temperature of clutch with utilization of estimated coefficients. Some experiments were also performed with a dynamometer to verify the procedure and calibrate the thermal load. As a conclusion, a design procedure, including numerical steps and experimental techniques for calibration, was proposed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.6
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• pp.1003-1011
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• 2008

In this paper, optimal design of interleaved boost converters is studied in order to design low ripple, size, loss and high performance converters for fuel cell applications. Also, the process of optimal design of interleaved boost converter has been performed. Input current ripple, output voltage ripple, losses and capacity of electrical components are theoretically analyzed and informative simulation and experimental results are provided.

• Journal of Electrical Engineering and Technology
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• v.5 no.4
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• pp.561-570
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• 2010

This paper presents an advanced dynamic simulation model of a proton exchange membrane fuel cell for the optimal design of a fuel cell power conditioning system (FC-PCS). For the development of fuel cell models, the dynamic characteristics of the fuel cell are considered, including its static characteristics. Then, software fuel cell simulation is realized using Matlab-Simulink. Specifically, the design consideration of PCS (i.e., power semiconductor switch, capacitor, and inductor) is discussed by comparatively analyzing the developed simulator and ideal DC source. In addition, a cosimulation between the fuel cell model and PCS realized using the PSIM software is performed with the help of the SimCoupler module. Detailed analysis and informative simulation results are provided for the optimal design of fuel cell PCS.