• Journal of the Korea Society of Computer and Information
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• v.22 no.5
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• pp.97-103
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• 2017

In this paper, we propose a method to investigate the safety consciousness of a analyst incident response. This study conducted a statistical survey on 154 analysts who hired as expert in environment monitoring organizations in South Korea. The results of the analyses showed that respondents had good awareness on the equipment incident response and complied with laboratory safety regulations very well. Secondly, respondents were aware of the importance in the order of equipment incident response, an analytical laboratory incident response, and the cause of a chemical substance associated incident in an analytical laboratory in regarding the regulation compliance for creating a safe laboratory environment and the securement of laboratory safety. Therefore, (it was identified that) it would be necessary to create a safe environment and integrate a safety management system.

• YAKHAK HOEJI
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• v.51 no.6
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• pp.389-401
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• 2007

To investigate effect of alcohol consumption characteristics on the body mass index (BMI) and blood pressure (BP), we performed statistical analyses of data from questionnaire survey among adults over 20 years old, using SPSS WIN program. Alcohol consumption characteristics such as frequency of drinking, amount and toxic degree of alcohol didn't show a significant correlation with BP. Amount of alcohol consumption and BMI showed a positive correlation (r=.264, p<.01). Waist circumference and BMI had the highest correlations with amount of alcohol consumption, which increased with aging.

• Journal of the Ergonomics Society of Korea
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• v.16 no.1
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• pp.47-61
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• 1997

A statistical method was developed to examine the US navy women's sizing system. Subjects including 906 navy female personnels were classified into seven groups based on the body type. Regression analyses were performed within seven groups to determine the sizing system maximizing the fitness of clothing in each group. New parameters were developed and used to statistically investigate the fitness level based upon boty navy sizing system and regression based system in this study. A customizef SAS program was used to compute the fitness levels. Results indicated that the navy sizing system showed lower fitness level in most groups except Juniour than the regression based system. It was concluded that the current method with new parameters could be used as an objective tool to evaluate the existing or new sizing system. This method can be further validated in other sample populations.

• The Journal of Information Systems
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• v.15 no.4
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• pp.55-72
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• 2006

The total market capacities of our domestic on-line shopping malls had reached over one billion wons in 2005. They are also estimated to reach 1.8 billion wons in 2008. In order to reveal some relationships between six antecedent variables and intention-to-use of online shooing malls, this study has extended the original TAM2 model using these variables obtained from (1) perceived usefulness and perceived ease of use from TAM2 model, (2) compatibility from IDT theory, (3) perceived enjoyment from Flow theory, and (4) others (perceived risk and self efficacy). Two statistical packages such as SPSS 12.0 and Lirel 8.70 were used for data analyses. Among these seven proposed hypotheses, six hypotheses were accepted while one hypothesis regarding perceived risk was rejected. As perceived risk hypothesis concerning the intention-to-use was rejected, the perceived risk did not show the support of the intention-to-use.

• Journal of Industrial Technology
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• v.31 no.A
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• pp.3-9
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• 2011

Simulation plays an important role for system analysis. In this study, a manufacturing system has been analyzed through computer simulation. We first briefly explain the considered system with prevailing problems. We then build a simulation model using ARENA simulation language. Based on two selected performance measures, material transporter load and hourly throughput, explicit system analyses have been performed. We addressed four parameters - variation of the processing time, number of raw material transporters, quality failure rate, and machine failures - as the input parameters affecting the output measures selected. We adopted Taguchi's orthogonal array in statistical experimental design and drew meaningful results from the analysis. The results given in the study may provide a good guidance for practical applications.

• Korean Journal of Child Studies
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• v.16 no.2
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• pp.113-124
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• 1995

The objective of this study was to clarify the relations among mothers' self-esteem and facilitative communication, to children's self-esteem, and facilitative communication and then to inquire into how these relationships relatively contribute to children's self-esteem. Subjects were 206 elementary school children and their mothers in Anjang. Two types of instruments were used in this study. To measure the children's and mothers' self-esteem, SEI(Self-Esteem Inventory) was to used. To measure mothers' facilitative communication levels, "Mothers' Facilitative Communication Scales" was constructed by the researcher. The statistical procedures used for collected data analyses were correlation, one-way ANOVA, multiful regression. The findings are as following: 1. A significant static correlation was found between mothers' self-esteem and children's self-esteem. 2. Also, a significant static correlation was revealed between mothers' facilitative communication level and children's self-esteem. 3. The level of mothers' facilitative communication discloses a significant difference depending upon the mothers' self-esteem. 4. Mothers' level of facilitative communication affected children's self-esteem rather than the mothers' self-esteem.

• Journal of the Korean Chemical Society
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• v.57 no.3
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• pp.370-376
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• 2013

A back propagation artificial neural network model with one hidden layer is established to correlate the liquid-liquid equilibrium data of hydrocarbon-water systems. The model has four inputs and two outputs. The network is systematically trained with 48 data points in the range of 283.15 to 405.37K. Statistical analyses show that the optimised neural network model can yield excellent agreement with experimental data(the average absolute deviations equal to 0.037% and 0.0012% for the correlated mole fractions of hydrocarbon in two coexisting liquid phases respectively). The comparison in terms of average absolute deviation between the correlated mole fractions for each binary system and literature results indicates that the artificial neural network model gives far better results. This study also shows that artificial neural network model could be developed for the phase equilibria for a family of hydrocarbon-water binaries.

• The Korean Journal of Rehabilitation Nursing
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• v.13 no.2
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• pp.105-113
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• 2010

Purpose: The purpose of this study was to examine symptoms, mood and sleep disturbance in patients with hemodialysis. Method: A sample of 96 hemodialysis patients participated. Data were collected using symptom scale of hemodialysis patients, profile of mood state and the sleep scale. Statistical analytic methods included t-tes, ANOVA and Pearson correlation analyses. Results: Patients with spouse/partners experienced significantly less symptoms than those with no spouse (F=6.29, p=.003). Mood disturbance was not significantly correlated with age; but older patients experienced higher sleep disturbance (F=4.88, p=.010). Symptoms, mood and sleep disturbance are significantly related with each other. Conclusion: It is important to assess symptoms, mood and sleep disturbance in older hemodialysis patients with no spouse. It is needed to repeat extensive study and comparative study with other population in order to define clearly.

• International Journal of Naval Architecture and Ocean Engineering
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• v.6 no.3
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• pp.700-714
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• 2014

This study aims to identify the relations between seakeeping characteristics and hull form parameters for YTU Gulet series with cruiser stern. Seakeeping analyses are carried out by means of a computer software which is based on the strip theory and statistical short term response prediction method. Multiple regression analysis is used for numerical assessment through a computer software. RMS heave-pitch motions and absolute vertical accelerations on passenger saloon for Sea State 3 at head waves are investigated for this purpose. It is well known that while ship weight and the ratios of main dimensions are the primary factors on ship motions, other hull form parameters ($C_P$, $C_{WP}$, $C_{VP}$, etc.) are the secondary factors. In this study, to have an idea of geometric properties on ship motions of gulets three different regression models are developed. The obtained outcomes provide practical predictions of seakeeping behavior of gulets with a high level of accuracy that would be useful during the concept design stage.

• The Korean Journal of Zoology
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• v.39 no.2
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• pp.147-158
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• 1996

Since the floating goby, Choenogobius onnuloris, has intricate and diverse morphological variations, allozymic analysis at 25 loci was carried out for their populations in Korea to clarify its taxonomic status. A genetic assay carried out revealed that the floating gobies were clearly divided into three genetic groups (Tvpe-A, Tvpe-B and Tvpe-C) in Korea. Alternative alleles were fated at six loci (Aco, 6pgd, Ldh-1, Got-1, Gpf, Gp3l. Some loci had considerable heterogeneitv among three types and no evidence of gene exchange in slunpatric populations was found from statistical analyses. The genetic similarity (Rogers'S) among three types was lower than 0.80 and divergent time estimate indicates that they were speciated during 1.2-1.8 million year before present (WBP). ASso, these three types of C. unnuluris were distinguished morpholosicallv from each other by several characters such as band ornamentations. In conclusion, the evidences presented here support recognition of three types of Chuenogobius annularis as typical discrete species.