• Journal of the Korea Safety Management & Science
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• v.4 no.1
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• pp.37-47
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• 2002

Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment ＆ measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.57-70
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• 2010

Nowadays, medical services can be performed through online. This entails a lot of human resources and different healthcare information. The rapid changes in the healthcare environment through web should be accounted so that the information would be maximally useful. However, medical information acquired online is not regulated; it is not favorable to users because it creates doubts to its reliability and benefits. This study focuses on the online medical information. It gives help to the users through its accessibility" comprehensiveness, continuity and efficiency. An empirical analysis of research model using PLS(partial least squares) shows that the quality of medical information influences the reliability and benefit of the related medical information. If users recognize medical information to be reliable and beneficial, their intention to use the medical information becomes strong.

• The Journal of the Acoustical Society of Korea
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• v.28 no.8
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• pp.832-842
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• 2009

Automatic speech recognition (ASR) has been successfully applied to many real human computer interaction (HCI) applications; however, its performance tends to be significantly decreased under noisy environments. The invention of audio visual speech recognition (AVSR) using an acoustic signal and lip motion has recently attracted more attention due to its noise-robustness characteristic. In this paper, we describe our novel integration scheme for AVSR based on a late integration approach. Firstly, we introduce the robust reliability measurement for audio and visual modalities using model based information and signal based information. The model based sources measure the confusability of vocabulary while the signal is used to estimate the noise level. Secondly, the output probabilities of audio and visual speech recognizers are normalized respectively before applying the final integration step using normalized output space and estimated weights. We evaluate the performance of our proposed method via Korean isolated word recognition system. The experimental results demonstrate the effectiveness and feasibility of our proposed system compared to the conventional systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.1071-1092
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• 2014

Annotating images with tags that describe the content of the images facilitates image retrieval. However, this task is challenging for both humans and computers. In response, a new approach has been proposed that converts the manual image annotation task into CAPTCHA challenges. However, this approach has not been widely used because of its weak security and the fact that it can be applied only to annotate for a specific type of attribute clearly separated into mutually exclusive categories (e.g., gender). In this paper, we propose a novel image annotation CAPTCHA scheme, which can successfully differentiate between humans and computers, annotate image content difficult to separate into mutually exclusive categories, and generate verified test images difficult for computers to identify but easy for humans. To test its feasibility, we applied our scheme to annotate images of human faces with their age groups and conducted user studies. The results showed that our proposed system, called AgeCAPTCHA, annotated images of human faces with high reliability, yet the process was completed by the subjects quickly and accurately enough for practical use. As a result, we have not only verified the effectiveness of our scheme but also increased the applicability of image annotation CAPTCHAs.

• Journal of Korean Society on Water Environment
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• v.29 no.2
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• pp.165-169
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• 2013

Freshwater fish intake is a critical parameter for deriving water quality criteria and water quality standards for protection of human health based on human health risk assessment. Although the freshwater fish intake parameter should be accurate and representative of Korean fish consumption for the water quality criteria to be reliable, data are limited in Korea and have low reliability. In this study, Korean National Health and Nutrition Examination Survey data from 2008-2010 were analyzed to reevaluate freshwater fish consumption. Based on these results, an average consumption rate of 3.0 g/day per person, a $90^{th}$ percentile consumption rate of 0.0 g/day per person, an average consumption rate of 65.7 g/day per fish consumer, and a $90^{th}$ percentile consumption rate of 153.4 g/day per fish consumer were proposed for derivation of water quality criteria using a conservative approach and various exposure scenarios.

• The Journal of Korean Physical Therapy
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• v.9 no.1
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• pp.157-166
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• 1997

The purpose of this study was to determine the effects of laser Irradiation on Human plasma $\beta-endorphin$ levels, by treating with low level helium-neon (He-Ne) and Infrared(lR) laser. The Laser was fixed frequency of 2400Hz by continuous scanning and irradiating time was 8 minutes each point. Blood samples were taken at before, after, after 15min's treatment and Plasma $\beta-endorphin$ was measured by radioimmunoassay. The samples for this study were 6 normal subjects(3male, 3female). The data were analyzed by paired t-test, one-way ANOVA and simple regression. The results of this study were as follows : 1. The human plasma $\beta-endorphin$ levels were noted as significant increase in after-treatment $(22.84{\pm}10.63pg/ml)$ as compared with before-treatment $(16.96{\pm}9.23pg/ml)$ and significant increase in after 15min's $(27.27{\pm}8.81pg/ml)$ as compared with after-treatment (p<0.05). 2. There were no significant changes in plasma g-endorphin levels between male and female. 3. The human plasma $\beta-endorphin$ levels were high associated in between session reliability (p<0.05).

• Korean Journal of Human Ecology
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• v.16 no.1
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• pp.111-121
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• 2007

The purpose of this study was to examine university students' clothing and cosmetics purchasing behaviors according to gender and major. For the study, 337 university students living in Chonbuk area participated in this survey research. The data were analyzed utilizing SPSS statistics package. Exploratory factor analysis, reliability test, and t-test were used. Five factors in each clothing and cosmetics purchasing orientation were generated from the factor analysis. According to gender and major, clothing and cosmetics purchasing behavior were significantly different. Female students showed more impulsive, rational, and economical purchasing orientations than male students did. On the contrary, male students showed more independent and convenient purchasing orientations. The students with fashion design major showed higher tendency in impulsive and rational clothing purchasing orientations than non-fashion design major students. Finally, clothing and cosmetics purchasing behaviors were significantly different by gender and major in terms of information usage and expenditure for clothing and cosmetics.

• Journal of the Korea Society for Simulation
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• v.15 no.3
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• pp.61-67
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• 2006

This paper provides a systematic way of integrating human intelligence and autonomous precision of robots to achieve the highest possible performance of a cooperating robot system. Adjustable autonomy, which deals with the combination of human and robotic skills, has the potential to bridge the gap which leaves many tasks suited to robotics beyond the reach of existing technology. Especially we will show that relevant human assistance or intervention will increase system performance by improving the exception handling capability, simplifying autonomous operation, and boosting speed and reliability. To support the usefulness of our scheme, a series of experiments were conducted with three cooperating robots which work together to dock both ends of a long suspended beam into stanchions.

• Korea Journal of Hospital Management
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• v.23 no.3
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• pp.1-15
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• 2018

Purpose: This study is conducted to identify the impacts of tax exemption on community benefit, policy, human resource management, and public benefit. Based on the results of analysis, we explore several avenues to raise public benefit that is central to the value of existence of non-for-profit hospitals in Korea. Methodology: Survey was formulated referring to the US IRS tax exemption criteria, Form990/Schedule H, and Korean public hospital criteria. A total of 182 survey responses were collected and used to verify measurement validity and perform reliability analysis, confirmatory factor analysis, and path analysis. Findings: The result of this study showed positive relationships among; i) tax development and planning, ii) planning and human resource management, iii) human resource management and policy, iv) policy and community benefit, v) community benefit and public benefit. Practical Conclusion: Tax exemption affects community benefit and public benefit directly as well as indirectly. This implies that expanding tax exemption is likely to improve public benefit mediating community benefit.

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.17-25
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• 2005

In this paper, we design data transformation interface for the automation of PCB product. The data designed to CAD does not exchange itself for the assembly line, so we construct an automation system which is exchangeable. To do this, we analyze the information of PCB components and construct the Information of IC components as database. We also develope two kinds of algorithm; one is to detect human error and another is to exchange itself for the data which is suitable for PCB assembly line. We design data transformation interface to do addition and revision of the information for PCB assembly line. By automating existing manual processing, we are able to shorten access time and enhance reliability of the data and the efficient assembly line of PCB.