• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.66-77
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• 2021

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.54-61
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• 2018

In this study, two aspects were analyzed about the robot for removal of explosive devices. First, the cost analyses were performed to provide a reasonable solution for the acquirement of the system. It is processed by an engineering estimate method and the process was consisted of two ways : a system development expense and a mass production unit price. In additions, the resultant cost analyses were compared between the cases excluding and including a mines detection system. As results, in the case of the acquirement of the robot system for removal of explosive devices, it is recommended that the performance by improving the mines detection ability should be considered preferentially rather than the cost because the material cost for the mines detection system is negligible compared to the whole system cost. Second, as a way for improving the system performance by the mine detection function, the carbon nanotube (CNT) based sensor technology was studied in terms of sensitivity and simple productivity with presenting its preliminary experimental results. The detection electrodes were formed by a photolithography method using a photosensitive CNT paste. As results, this method was shown as a scalable and expandable technology for the excellent mines detection sensors.

• Journal of Korean Critical Care Nursing
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• v.17 no.2
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• pp.83-95
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• 2024

Purpose : This study aimed to investigate the impact of clinical reasoning competence, positive psychological capital, and nursing work environment on nursing performance of intensive care unit (ICU) nurses in tertiary general hospitals. Methods : Data were collected from 169 ICU nurses in tertiary general hospitals in Busan, South Korea, from July 27 to August 15, 2023, using a self-report questionnaire. After excluding 12 questionnaires with insufficient responses, 157 responses were analyzed. Descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression analysis were employed. Results : Factors influencing nursing performance included clinical reasoning competence (β=.51, p <.001), hope as a subfactor of positive psychological capital (β=.31, p <.001), and the nursing foundations for quality of care in the nursing work environment (β=.21, p <.001). The explanatory power of the regression model was 62% (F=87.41, p <.001). Conclusion : The study underscores the importance of improving clinical reasoning competence among ICU nurses to enhance nursing performance and foster a hopeful attitude through reflective practices and personal growth. Organizational interventions, such as educational and psychological support programs, along with creating a supportive nursing environment, are crucial for improving nursing performance among intensive care unit nurses.

• Journal of Korean society of Dental Hygiene
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• v.20 no.2
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• pp.167-174
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• 2020

Objectives: The aim of this study was to identify causal factors for continuous innovative behavior and devise a plan for effective member management by improving continuous innovative behavior. Methods: A self-reported questionnaire was filled out by 190 clinical dental hygienists from June 1 to July 31, 2019. Data were analyzed using SPSS 22.0. The independent t-test, one-way analysis of variance, Scheffe's post-hoc test, and Pearson's correlation coefficient analysis were performed, and a stepwise multiple regression analysis was conducted. Results: Dental hygienists scored 3.43 points in innovative behavior. Variables influencing innovative behavior were emotional intelligence, self-efficacy, and educational level. These factors had a variance of 47.5% among clinical dental hygienists. Conclusions: It is necessary to develop a regular program aimed at improving the emotional intelligence and self-efficacy of clinical dental hygienists to exert a positive work effect and improve their innovative behavior rather than assigning them simple tasks.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.10
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• pp.120-129
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• 2002

An integrated structure and controller design approach for rotating cantilever beam is presented. An optimization method is developed for improving positioning performance considering the elastic deformations during high speed rotation and adopting the beam shape and the control gains as design variables. For this end, a dynamic model is setup by the finite element method according to the shape of the beam. The mass and stiffness of the beam are distributed in such a way that the closed-loop poles of the control system should be located leftmost in the complex s-plane. For optimization method, the simulated annealing method is employed which has higher probability to find the global minimum than the gradient-based down-hill methods. Sequential design and simultaneous design methods are proposed to obtain the optimal shape and controller. Simulations are performed with new designs by the two methods to verify the effectiveness of the approach and the results show that the settling time is improved for point-to-point position controls.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.630-640
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• 2001

In this paper, we describe the design and implementation of ObjectPeerWork, which is a framework for the development of shared object model-based P2P(Peer-to-Peer) applications. The shared object model can prevent the computing power decrease on the way of resource management by incorporating the resource management function into resources themselves, and raise reliability on shared resources by improving the security problems. Also this model assures expandability by means of distributed component-based request broker manager and module container. The ObjectPeerWork based on this shared object model is a framework which makes the implementation of the enterprise information system possible, and makes distribution of the computing power and efficient resource management possible by improving the weakness in the general P2P model.

• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.47-59
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• 2021

Purpose: To assess levels of mental health among community health practitioners during the COVID-19 outbreak in Korea and associations between practitioner mental health and personal and psychosocial factors. Methods: Data were collected from a convenient sample of 275 community health practitioners using an online questionnaire, which included items on mental health (K-WEMWBS), psychosocial factors (COVID-19 sensitivity, COVID-19 self-confidence, social support, perceived stress), and personal characteristics. Collected data were analyzed using the t-test, one-way ANOVA, Scheffe's test, Pearson's correlation coefficients, and multiple linear regression in SPSS 25.0. Results: Mean mental health score was 51.27±8.47. Multiple linear regression revealed that time spent as a community health practitioner, COVID-19 self-confidence, social support, and perceived stress were significantly associated with mental health. Conclusion: The findings of this study suggest that comprehensive intervention with emphases on improving COVID-19 self-confidence, social support, and reducing stress is required to improve community health practitioner mental health. The results also indicate a need for educational programs aimed at improving the mental health of young community health practitioners.

• Cross-Cultural Studies
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• v.36
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• pp.241-270
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• 2014

The aim of this article is to review the traditional methodologies of teaching translation that concentrate on text-typologies and, as an alternative, to propose an eclectic multi-componential approach that involves a set of interdisciplinary skills with a view to improving the trainee translators' competences and skills. To this end, three approaches, namely a minimalist approach, a pre-transferring adjustment approach and a revision vs. editing approach are proposed to shift the focus of attention from teacher-centred approaches towards student-centred approaches. It has been shown that translator training programmes need to focus on improving the trainee translators' competences and skills, such as training them how to produce and select among the different versions they produce by themselves with justified confidence as quickly as they can (minimalist approach), adjust the original text semantically, syntactically and/or textually in a way that the source text supplely accommodates itself in the linguistic system of the target language (pre-transferring adjustment), and revise and edit others' translations. As the validity of the approach proposed relies partially on instructors' competences and skills in teaching translation, universities, particularly in the Arab world, need to invest in recruiting expert practitioners instead of depending mainly on bilingual teachers to teach translation.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.04a
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• pp.81-82
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• 2006

Doping is a well-known method for improving electroluminescent (EL) efficiency of organic light emitting diodes. In our study, doping with 2 materials simultaneously, we could achieve improved EL efficiency. The emission layer was tris-(8-hydroxyquinoline)aluminum, and the 2 dopants were N,N'-dimethyl-quinacridone (DMQA) and 10-(2-Benzothiazolyl)-2, 3, 6, 7-tetrahydro-1,1,7,7,-tetramethyl 1-1H, 5H, 11H-[1] benzopyrano [6,7,8-ij]quinolizin-11-one (C-545T). The EL intensity of co-doped device was nearly flat, it shows that co-doping technique could be a effective way to improve the EL efficiency. EL efficiency of Single-doped device based on DMQA and C-S45T were ~6.47Cd/A and ~7.45Cd/A, respectively. Co-doped device showed higher EL efficiency of ~8.30Cd/A.

• Journal of Engineering Education Research
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• v.22 no.3
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• pp.32-40
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• 2019

This paper deals with the effects of teamwork competence on problem solving ability through the mediating effect of creative personality for the engineering students. For this purpose, a regression-based statistical mediation analysis has been performed for a simple mediation model in which teamwork competence and problem solving ability were treated as independent and dependent variables respectively, and creative personality was included as a mediation variable. The analysis results showed that the teamwork competence has direct effect on the problem solving ability as well as indirect effect through the creative personality. This result implies that the problem solving ability can be improved directly by improving the teamwork competence, and moreover, it can be further improved indirectly or through the mediation effect by improving the creative personality. Thus, in order to develop excellent problem solving ability, it is necessary to form team members in a balanced way between teamwork competence and creative personality in the team-based learning.