• Journal of Korean Academy of Nursing
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• v.52 no.2
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• pp.173-186
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• 2022

Purpose: Climate change has various negative effects on human health, which has resulted in increased burden on the health care system. Nurses contribute significantly to assessing climate-related health risks and creating a healthy environment. This study aimed to evaluate the reliability and validity of the Korean version of the Climate, Health, and Nursing Tool (K-CHANT) to measure nurses' awareness, motivation, concern, and behaviors at work and at home regarding climate change and health. Methods: The 22 items of English CHANT were translated into Korean with forward-backward translation techniques. Internal consistency reliability, test-retest reliability, and construct validity using confirmatory factor analysis were performed using SPSS WIN (25.0) and AMOS (26.0). Survey data were collected from 220 master's, doctoral, and post-doctoral nursing students. Results: The K-CHANT consists of 20 items across 5 domains. Two items of the original CHANT were excluded because of low content validity index and standardized regression weights. The internal consistency reliability of the K-CHANT, assessed by Cronbach's α was .81, with an intraclass correlation coefficient of .66~.90. The five subscales model was validated by confirmatory factor analysis (SRMR < .08, RMSEA < .08, AGFI > .70, CFI > .70). Conclusion: The K-CHANT has satisfactory construct validity and reliability to measure nurses' awareness, motivation, concern, and behaviors at work and at home regarding climate change and health. Future research should examine nurses' perceptions and behaviors related to the health effects of climate change and develop an action plan to improve it.

• Fashion & Textile Research Journal
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• v.26 no.3
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• pp.251-264
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• 2024

This study identified the structural impact relationships, mediated by information reliability and brand authenticity, of different types of environmental messages from the perspective of luxury fashion brands, leading to formation of brand attitudes. Additionally, the study investigated how the impact of message sidedness on the formation of information reliability and brand authenticity varies according to consumers' regulatory focus tendencies. Data were collected through online surveys targeting individuals from Generation MZ, utilizing a professional research firm. A total of 300 respondents (150 for one-sided scenarios and 150 for two-sided scenarios) were selected. The collected data were validated using SPSS and AMOS. The following results were obtained. First, message sidedness influenced information reliability and brand authenticity, both of which demonstrated positive effects on brand attitude as mediating factors. However, message sidedness did not directly affect brand attitude. Second, consumers with both promotion and prevention focus tendencies perceived higher information reliability in two-sided message scenarios, and the perception difference in information reliability based on message sidedness was more pronounced among consumers with a prevention focus. Additionally, consumers with a prevention focus did not show a significant difference in brand authenticity between one- and two-sided message scenarios, while consumers with a promotion focus demonstrated an increase in brand authenticity in two-sided message scenarios compared to one-sided ones.

• Journal of the Korean Society of Safety
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• v.32 no.1
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• pp.33-40
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• 2017

This paper addresses the assessment methods used to evaluate the magnetic exposure of a human to ELF EMF (Extremely Low Frequency Electromagnetic Field) which is caused by the process of power delivery from 60 Hz commercial power. These days the main concern is primarily focused on the magnetic field. For the exposure assessment, both numerical studies and laboratory experiments were studied and the results of the two compared for methodological suitability. The numerical analyses employ the Impedance Method (IM), Boundary Element Method (BEM), and Finite Element Method (FEM) and the laboratory experiments used various human phantom models made with conductivities congruent to human organs and then exposed to uniform/non-uniform magnetic fields to produce eddy currents. Under these conditions a number of examples have been evaluated and the reliability assessed to present the pros and cons of each methodology.

• Journal of Ship and Ocean Technology
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• v.4 no.4
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• pp.19-33
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• 2000

For the prevention of marine accidents based on human factor, the risk assessment analysis procedure is proposed which consists of (1) the structural analysis of marine accident, (2) the estimation of incidence probability based on the Fault Tree analysis, (3) the prediction of ef-fectiveness to reduced the accident risk by suitable countermeasures in the specified functional system, and (4) the risk assessment by means of minimizing of the total cost expectation and the background risk. As a practical example, the risk assessment analysis for preventing is investigated using the proposed method.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.2
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• pp.178-186
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• 2003

Recently, many researchers have been interested in biometric systems such as fingerprint, handwriting, key-stroke patterns and human iris. From the viewpoint of reliability and robustness, iris recognition is the most attractive biometric system. Moreover, the iris recognition system is a comfortable biometric system, since the video image of an eye can be taken at a distance. In this paper, we discuss human iris recognition, which is based on accurate iris localization, robust feature extraction, and Neural Network classification. The iris region is accurately localized in the eye image using a multiresolution active snake model. For the feature representation, the localized iris image is decomposed using wavelet transform based on dyadic Haar wavelet. Experimental results show the usefulness of wavelet transform in comparison to conventional Gabor transform. In addition, we present a new method for setting initial weight vectors in competitive learning. The proposed initialization method yields better accuracy than the conventional method.

• Korean Journal of Human Ecology
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• v.1 no.2
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• pp.1-11
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• 1998

The purpose of this study was to develope the scale for measuring the five languages of couples. A 50 item instrument was analyzed with responses from 100 persons(50 couples) dwelling in Kwangju. Data were analyzed by the method of Pearson＇s Cronbach＇ $\alpha$ test. Items were loaded five categories such as quality time, words of affirmation, receiving gift, acts of service and physical touch. The test is shown to have internal consistency reliability and satisfactory content validity. The result proposed the 27 items constructed scale. (Korean J Human Ecology 1(2):1~11. 1998)

• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.12-24
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• 1999

This study attempts to explore the effects of personal, household, and environmental factors on household financial management in financial dimensions. Financial management behaviors are constructed with 5 dimensions : income, expenditure, debt, investment and risk management. The specific objectives of this study are : 1) to examine the level of the financial management behavior to the sub-dimensions. 2) to investigate the factors which influence on the level of financial management behavior to the dimensions. The sample consisted of 792 married women living in Seoul. The statistical methods used for analysis included Reliability, Frequencies, Percent, Mean, Standard Deviation, Multiple Regression Analysis. The major results can be summarized as following 1) Among the sub-dimensions, the score of risk management is the most high, 39.00. 2) There are statistically significant differences in the levels and factors which influence on the financial management behavior to the 5 dimensions.(Korean J of Human Ecology 2(l) : 12-24, 1999)

• Journal of the Korean Society of Safety
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• v.17 no.4
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• pp.173-177
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• 2002

THERP (Technique for Human Error Rate Prediction) methodology has been widely used for probabilistic safety assessments. The NUREG report involving this methodology is also called the HRA handbook. The THERP assumes that all actions involved in implementing a task are considered as components. In this paper human error rates associated with maintenance are evaluated by the THERP methodology. A gas governor system is used as an example which is also a risky system like nuclear power plants. It is also demonstrated that this approach is flexible in that it can be applied to any operator actions related to test and maintenance.

• Journal of the Korean Institute of Navigation
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• v.6 no.2
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• pp.57-63
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• 1982

This paper deals with a mathematical model which explains process of aquisition or skillfulness of human. Especially, in the case of determinating a ship's position, a degree of aquisitiion or skillfulness has a significant meaning in the view point of reliability of a data because it is closely connected with the position error. In this paper, the authors have obtained the following mathematical model, who analyzed quantitavely the data obtained by a process of measuring the horizontal sextant angles and extracted the factors or parameters affecting the process of aquisition or skillfulness of human. Namely, $H=Me^{-iN}$ M : the coefficiency which represent the degree of difficulty in measuring the object i : personal parameter N : the number of measurements

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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• pp.163-169
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• 2008

In this paper, we propose a real-time people tracking system with multiple CCD cameras for security inside the building. The camera is mounted from the ceiling of the laboratory so that the image data of the passing people are fully overlapped. The implemented system recognizes people movement along various directions. To track people even when their images are partially overlapped, the proposed system estimates and tracks a bounding box enclosing each person in the tracking region. The approximated convex hull of each individual in the tracking area is obtained to provide more accurate tracking information. To achieve this goal, we propose a method for 3D walking human tracking based on the IMPRESARIO framework incorporating cascaded classifiers into hypothesis evaluation. The efficiency of adaptive selection of cascaded classifiers have been also presented. We have shown the improvement of reliability for likelihood calculation by using cascaded classifiers. Experimental results show that the proposed method can smoothly and effectively detect and track walking humans through environments such as dense forests.