• Journal of the Korean Applied Science and Technology
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• v.41 no.1
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• pp.138-148
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• 2024

The purpose of this study is a descriptive research study to confirm the relationship between perception of strength, academic self-efficacy and major satisfaction of nursing college students and to identify factors influencing major satisfaction. The subjects of this study were 172 nursing college students located in G City, and data collection was conducted from November 7 to December 21, 2022. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis using SPSS/WIN 28.0 program. As a result of the study, major satisfaction had a significant positive correlation with perception of strength (r=.31, p<.001) and academic self-efficacy (r=.62, p<.001). Factors affecting major satisfaction of nursing college students were academic self-efficacy (𝛽=.53, p<001.) and advice from others as motivation of choosing major (𝛽=-.20, p=.002), which explained 42.6% of variance. The results of this study will be useful used to develop strategies to improve the major satisfaction of nursing college students. In the future, a follow-up study that can expand the subjects and explain the major satisfaction of nursing college students is suggested.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.694-704
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• 2024

This study selected domestic winter and summer sports instructors as the population and used convenience sampling among non-probability sampling methods to investigate the relationship between Work-Life Balance and turnover intention among seasonal sports instructors' job insecurity. A total of 200 questionnaires were distributed using . Of these, excluding 46 questionnaires that were judged to have been answered insincerely, a total of 154 questionnaires were used as a valid sample. Data processing methods included frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, simple regression analysis, and multiple regression analysis using the SPSS 27.0 program. The results of this study are as follows. First, as a result of analyzing the relationship between job insecurity and work-life balance, it was found that job insecurity did not affect work-leisure balance, but did affect work-family balance, work-growth balance, and an overall evaluation. Second, as a result of analyzing the relationship between job insecurity and turnover intention, it was found that job insecurity had an effect on turnover intention. Third, as a result of analyzing the relationship between work-life balance and turnover intention, it was found that only work-growth balance affected turnover intention.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.721-732
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• 2024

This study is a descriptive research to determine the mediating effect of Positive Psychological Capital on the relationship between Job Stress and Retention Intention among nurses working at blood centers in the metropolitan area. Data were collected from 167 nurses using a structured questionnaire between May 2021 and April 2022, and analyzed by SPSS ver.25. General characteristics were analyzed through frequency, percentage, mean, and standard deviation. The relationship between Job Stress and Retention Intention was analyzed using independent samples t-test, ANOVA, and Pearson's correlation. Hypotheses were tested using hierarchical multiple regression analysis and PROCESS macro model 4. The results substantiated the hypotheses: Hypothesis 1 proposed that higher Retention Intention and Positive Psychological Capital were associated with lower Job Stress. Hypothesis 2 suggested that Positive Psychological Capital significantly partially mediates the relationship between Retention Intention and Job Stress. To promote Retention Intention among blood center nurses, it is crucial to implement human resource management systems aimed at alleviating Job Stress and enhancing Positive Psychological Capital. Specifically, enhancing Positive Psychological Capital within blood centers is particularly significant. This study contributes empirical evidence necessary for efficient personnel management and competency enhancement programs to reduce Job Stress, thereby enhancing the quality of nursing care among blood center nurses. Furthermore, it is recommended to develop intervention programs for Positive Psychological Capital to enhance Retention Intention and reduce Job Stress among blood center nurses.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.586-598
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• 2024

This study aimed to improve the service quality of the ski rental industry and provide basic data to satisfy customers' needs by investigating how the service quality of ski rental shops affects consumers' perceived value and purchasing behavior. Therefore, a survey was conducted on users visiting rental shops at six ski resorts in Korea (High1 Resort, Yongpyeong Resort, Jisan Resort, Gonjiam Resort, Phoenix Park, and Welli Hilli). The collected data was conducted by using SPSS (B. 25.0) program, visual factors analysis, and multivariate distributed analysis, simple, simple and multivariate variance analysis, simple and multivariate analysis. The results derived from this study are as follows. First, it was found that the service quality of ski resort rental shops had a significant effect on perceived value in the order of convenience, empathy, service, and facility environment. Second, it was found that the perceived value of purchasing behavior of purchase behavior and recommendations. Third, it was found that the service quality of ski resort rental shops had a significant effect on purchase intention and recommendation intention of purchase behavior in the order of empathy, facility environment, convenience, and service.

• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.1-11
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• 2018

The purposes of this study were to examine the depression level of sales workers at a cosmetics company in South Korea and investigate the effects of emotional labor, job stress, and resilience on their depression symptoms. A structured questionnaire was distributed to 189 workers at the cosmetics company to assess their general characteristics, diseases diagnosed by the doctor, depression, emotional labor, job stress, and resilience. Univariate analysis and multiple logistic regression analysis was conducted to examine connections among depression symptoms, emotional labor, job stress, and resilience. The findings show that the depression symptom rate of the cosmetics sales workers was 32.3%. The multiple logistic regression analysis results of the high risk group in depression symptoms show that depression had significant relations with resilience(OR : 3.84, CI : 1.68-8.77), diseases diagnosed by the doctor(OR : 3.82, CI : 1.73-8.47), emotional disharmony(OR : 2.51, CI : 1.06-5.96), and job demand(OR : 2.12, CI : 0.93-4.85). The low risk group of emotional labor was corrected in age, doctor's diagnosis, and job stress with the reference value to analyze connections with depression symptoms according to the degree of resilience. The analysis results show that depression symptoms increased by 2.35 times(CI : 0.73-7.53) when they had high emotional labor and good resilience, by 3.74 times(CI : 1.17-11.97) when they had low emotional labor and bad resilience, and by 10.39 times(CI : 3.34-32.28) when they had high emotional labor and bad resilience. These findings raise a need to run a program to increase resilience, reduce emotional disharmony through emotional labor management, and take health management measures to control physical illness and lower job stress so that cosmetics sales workers can manage their depression symptoms.

• Geophysics and Geophysical Exploration
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• v.11 no.1
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• pp.26-33
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• 2008

The analysis of wide-angle seismic reflection and refraction data plays an important role in lithospheric-scale crustal structure study. However, it is extremely difficult to develop an appropriate velocity structure model directly from the observed data, and we have to improve the structure model step by step, because the crustal structure analysis is an intrinsically non-linear problem. There are several subjective processes in wide-angle crustal structure modelling, such as phase identification and trial-and-error forward modelling. Because these subjective processes in wide-angle data analysis reduce the uniqueness and credibility of the resultant models, it is important to reduce subjectivity in the analysis procedure. From this point of view, we describe two software tools, PASTEUP and MODELING, to be used for developing crustal structure models. PASTEUP is an interactive application that facilitates the plotting of record sections, analysis of wide-angle seismic data, and picking of phases. PASTEUP is equipped with various filters and analysis functions to enhance signal-to-noise ratio and to help phase identification. MODELING is an interactive application for editing velocity models, and ray-tracing. Synthetic traveltimes computed by the MODELING application can be directly compared with the observed waveforms in the PASTEUP application. This reduces subjectivity in crustal structure modelling because traveltime picking, which is one of the most subjective process in the crustal structure analysis, is not required. MODELING can convert an editable layered structure model into two-way traveltimes which can be compared with time-sections of Multi Channel Seismic (MCS) reflection data. Direct comparison between the structure model of wide-angle data with the reflection data will give the model more credibility. In addition, both PASTEUP and MODELING are efficient tools for handling a large dataset. These software tools help us develop more plausible lithospheric-scale structure models using wide-angle seismic data.

• Applied Biological Chemistry
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• v.48 no.2
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• pp.183-188
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• 2005

This study was conducted to develop a method for the quantitative determination of soil clay content by spectophotometry. The optimum wavelength obtained with reference clay minerals for spectrophotometry was 500 nm. For the proposed spectrophotometry, 0.5 g of soil sample was put in the 250 ml Erlenmeyer flask and 100 ml dispersing agent was added. After shaking the flask at 130 rpm with a mechanical shaker overnight, the flask was removed from the shaker and was shaken up-and-down for 30 seconds. With a micro-pipet, 4 ml of the suspension was transferred into the previously-inserted cell and the absorbance was measured instantly. Results by the spectrophotometry for clay content analysis were compared with those by the conventional sedimentation technique (the pipet method). The proposed equation was $y\;=\;38.03x_1-0.17x_2-1.17$, where y, $x_1$, and $x_2$ were clay content (%) by the pipet method, water content corrected clay content (%) by spectrophotometry, and organic matter content ($g{\cdot}kg^{-1}$), respectively. The regression coefficient for the equation was $r\;=\;0.984^{**}$, indicating highly significant correlation between the results of the two methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.189-193
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• 2003

금형가공에 있어서 밀링머신의 가공에서는 절삭가공의 잔유물인 버(Burr)가 생성되고, 이러한 버는 가공의 정밀도를 감소시킬 뿐만 아니라 후처리과정(Deburring)을 야기시킴으로 인해서 작업효율의 감소 및 생산성의 비효율적 낭비를 가져오게 된다. 따라서, 정밀도와 작업효율을 극대화하긴 위해서는 버의 생성원리를 파악하고, Exit Burr의 생성부분을 미리 예측하여 버의 생성을 최소화 할 수 잇는 작업 가공계획을 설계하여야 한다. (1)기존의 Burr Exit System에서는 피삭재의 단면형상인 Line과 Are처럼 단순한 형상뿐만 아니라, Line과 Are가 연결되어있는 복잡란 형상에 대해서도 버를 판별한다. 그리고, 가공 후 버가 생성되는 부분을 예측하고, 이때의 Exit Angle을 계산하여 이에 해당하는 기 실험결과 DataBase와 연동하여 생설될 버의 형상과 크기 등의 결과를 제공하여 준다. 더불어, 피삭재의 단면형상이 여러 가지 복합적인 형상으로 이루어져 있는 경우와 다양한 공구 경로까지 고려하여 실제가공과 거의 유사란 상황을 적용할 수 잇는 알고리즘으로 개발하였다. 본 논문에서는 이제까지 개발된 다양한 형상에 대한 Exit Burr 판별 알고리즘을 이용하여 임의형상을 가진 피삭재의 다중가공경로 상에서 발생 가능한 버를 예측하고, 버의 길이나 가공시간 들을 정?화 하여 최적화하는데 필요란 요소를 추출해 보고자 한다. 또한, 이를 인용하여 Face Windows에서의 버의 발생을 최소화 할 수 있는 최적 절삭가공 공구경로를 제시하여, 작업 효율성을 극대화하는 알고리즘을 Windows 응용 프로그램으로 구현하고자 한다.생성하기보다는 기존에 발생된 구매 지시의 우선적 사용과 기존 구매 지시의 납기 일자를 고객 납기에 가장 잘 맞출 수 있도록 변경하는 방안을 제시한다. 이렇게 함으로써 최대한 고객 납기를 만족하도록 계획을 수립할 수 있게 된다. 본 논문에서 제시하는 계획 모델을 사용함으로써 고객 주문에 대한 대응력을 높일 수 있고, 계획의 투명성으로 인한 전체 공급망의Bullwhip effect를 감소시킬 수 있는 장점이 있다. 동시에 이것은 향후 e-Business 시스템 구축을 위한 기본 인프라 역할을 수행할 수 있게 된다. 많았고 년도에 따른 변화는 보이지 않았다. 스키손상의 발생빈도는 초기에 비하여 점차 감소하는 경향을 보였으며, 손상의 특성도 부위별, 연령별로 다양한 변화를 나타내었다.해가능성을 가진 균이 상당수 검출되므로 원료의 수송, 김치의 제조 및 유통과정에서 병원균에 대한 오염방지에 유의하여야 할 것이다. 확인할 수 있었다. 이상의 결과에 의하면 고농도의 유기물이 함유된 음식물쓰레기는 Hybrid Anaerobic Reactor (HAR)를 이용하여 HRT 30일 정도에서 충분히 직접 혐기성처리가 가능하며, 이때 발생된 $CH_{4}$를 회수하여 이용하면 대체에너지원으로 활용 가치가 높은 것으로 판단된다./207), $99.2\%$(238/240), $98.5\%$(133/135) 및 $100\%$ (313)였다. 각각 두 개의 요골동맥과 우내흉동맥에서 부분협착이나 경쟁혈류가 관찰되었다. 결론: 동맥 도관만을 이용한 Off pump CABG를 시행하여 감염의 위험성을

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.109-125
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• 2004

In recent decades, microscopic simulation models have become powerful tools to analyze traffic flow on highways and to assist the investigation of level of service. The existing microscopic simulation models simulate an individual vehicle's speed based on a constant free-flow speed dominantly specified by users and driver's behavior models reflecting vehicle interactions, such as car following and lane changing. They set a single free-flow speed for a single vehicle on a given link and neglect to consider the effects of highway design elements to it in their internal simulation. Due to this, the existing models are limitted to provide with identical simulation results on both curved and tangent sections of highways. This paper presents a model developed to estimate the change of free-flow speeds based on highway design elements. Nine neural network models were trained based on the field data collected from seven different freeway curve sections and three different locations at each section to capture the percent changes of free-flow speeds: 100 m upstream of the point of curve (PC) and the middle of the curve. The model employing seven highway design elements as its input variables was selected as the best : radius of curve, length of curve, superelevation, the number of lanes, grade variations, and the approaching free-flow speed on 100 m upstream of PC. Tests showed that the free-flow speeds estimated by the proposed model were statistically identical to the ones from the field at 95% confidence level at each three different locations described above. The root mean square errors at the starting and the middle of curve section were 6.68 and 10.06, and the R-squares at these points were 0.77 and 0.65, respectively. It was concluded from the study that the proposed model would be one of the potential tools introducing the effects of highway design elements to free-flow speeds in simulation.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.6
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• pp.476-487
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• 2009

The virtual memory system in 4.4 BSD operating systems exploits a clustering scheme to reduce disk I/Os in paging out (or flushing) modified pages that are intended to be replaced in order to make free rooms in memory. Upon the page out of a victim page, the scheme stores a cluster (or group) of modified pages contiguous with the victim in the virtual address space to swap disk at a single disk write. However, it fails to find large clusters of contiguous pages if applications change pages not adjacent with each other in the virtual address space. To address the problem, we propose a new clustering scheme called Multiple-Object Clustering (MOC), which together stores multiple clusters in the virtual address space at a single disk write instead of paging out the clusters to swap space at separate disk I/Os. This multiple-cluster transfer allows the virtual memory system to significantly decrease disk writes, thus improving the page-out performance. Our experiments in the FreeBSD 6.2 show that MOC improves the execution times of realistic benchmarks such as NS2, Scimark2 SOR, and nbench LU over the traditional clustering scheme ranging from 9 to 45%.