• Journal of dental hygiene science
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• v.20 no.1
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• pp.51-58
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• 2020

Background: The present study aimed to provide basic data to establish a foundation for efficient operation of the organization by identifying the effects of factors related to moral sensitivity and psychological well-being on job engagement of clinical dental hygienists. Methods: This cross-sectional survey consisted of self-administration questionnaires. After the approval by the Institutional Review Board, a survey was conducted from September 2019 to November 2019, targeting dental hygienists with clinical experience of 1 year or more. A total of 189 questionnaires were analyzed using SPSS 18.0 for Windows. The data were analyzed using average standard deviation, t-test, one-way analysis of variance, Scheffe test, Pearson's correlation analysis, and multiple regression analysis. Results: According to job-related characteristics, higher job engagement was associated with more amount of clinical experience, less turnover intention, higher positions, and occasional job fatigue. Job engagement was improved by increasing moral sensitivity and psychological well-being of clinical dental hygienists. The factors affecting job engagement revealed that along with clinical career, the sub-areas of job engagement, namely turnover intention, moral sensitivity, and psychological well-being had statistically significant influence on job engagement and the explanatory power of the model was approximately 44.8%. Conclusion: Joy of working as a clinical dental hygienist, clinical career, turnover intention, moral sensitivity, and psychological well-being were confirmed as influencing factors that affected job engagement of clinical dental hygienists. It is necessary to establish an effective plan to improve job engagement by increasing moral sensitivity and psychological well-being of clinical dental hygienists.

• Journal of dental hygiene science
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• v.19 no.1
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• pp.60-66
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• 2019

Background: This study aimed to provide basic data to establish a foundation for efficient operation of the organization by assessing the effects of self-efficacy and job stress (measured by self-efficacy, job demand, and job autonomy) on organizational commitment among clinical dental hygienists. Methods: This was a cross-sectional survey study that used a self-administered questionnaire to collect data. After institutional review board approval, a survey was conducted from January to May 2017, targeting dental hygienists working in dental clinics and hospitals. The final 199 questionnaires were analyzed with PASW 18.0 for Windows (IBM Corp.). The data were analyzed using mean and/or standard deviation t-test, one-way ANOVA, and multiple regression analysis. Results: The means for self-efficacy, job demand, job autonomy, and organizational commitment were $55.94{\pm}9.65$, $26.55{\pm}2.29$, $20.24{\pm}3.88$, and $49.49{\pm}8.39$, respectively. Along with self-efficacy, the other factors of organizational commitment among dental hygienists that were statistically significant included job autonomy, mean salary (2,500~2,990 thousand Korean won [KRW] and ${\geq}3,000$ thousand KRW), and employee welfare (good), which are sub-areas of the surface acting. In other words, it was found that the higher the mean salary, the better the employee welfare, the higher self-efficacy, and the higher the organizational commitment, and the explanatory power of the model was approximately 42.1%. Conclusion: These results suggest that the higher the self-efficacy, job autonomy, mean salary, and employee welfare, the higher the organizational commitment. In order to improve job demand among dental hygienists, it is necessary to establish an effective plan to improve job welfare, self-efficacy, and job autonomy.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.441-451
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• 2015

The one-year onboard training, which has been implemented since 1988 according to the STCW Convention in 1978, is a crucial part of cadets' training and education. The choice of training shipping company is important that like a internship. This basic study is for the satisfaction at the shipping companies that trains cadets the Mokpo National Maritime University. The satisfaction for onboard training consists of a conscious, educational and environmental parts with six demographic characteristics and carried out the questionnaire survey of 206 cadets in shipping companies. The low parts of satisfaction are implemented cross tabulation analysis and in-depth interview for realize the reason. In this paper, the satisfaction from environmental part($3.83{\pm}0.75$) is high but conscious part($3.35{\pm}0.86$) and educational part($3.33{\pm}0.79$) are low. In demographic characteristics, male in gender, apprentice officer in duty, others in kind of crew, container in kind of vessel and 30,000~100,000 tons in size of vessel are high satisfaction in general. Specifically, feeding service($4.02{\pm}0.75$) in environment, influence on future vision($3.65{\pm}0.84$) in consciousness, goal for training($3.50{\pm}0.65$) in education showed the highest level in satisfaction.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1945-1947
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• 2004

"CRT" which had dominated the market of display until 2000 is not appropriate for information indicating media due to several limitations. Thus, TFT-LCD, PDP, OLED, etc are growing in display industry instead of CRT because they meet demands of information indicating media. OLED display which responses within 1ms fits any picture manifestation medias because it uses self radiance OLED for picture clement that has no obstacles in showing the angle of vision. OLED's characteristic of action is very sensitive to thickness of electrode so that this has been an important issue. This study tried to find the most suitable thickness of electrode using ITO, Mo, and AL. Using the results of IVL measurements, analyzed equality of electrode board. As a result, found the thickness of electrode that has high electrical efficiency and optimized it.

• Corrosion Science and Technology
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• v.18 no.6
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• pp.253-257
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• 2019

A deep learning based real-time painting surface inspection algorithm is proposed herein, designed for developing an autonomous inspection drone. The painting surface inspection is usually conducted manually. However, the manual inspection has a limitation in obtaining accurate data for correct judgement on the surface because of human error and deviation of individual inspection experiences. The best method to replace manual surface inspection is the vision-based inspection method with a camera, using various image processing algorithms. Nevertheless, the visual inspection is difficult to apply to surface inspection due to diverse appearances of material, hue, and lightning effects. To overcome technical limitations, a deep learning-based pattern recognition algorithm is proposed, which is specialized for painting surface inspections. The proposed algorithm functions in real time on the embedded board mounted on an autonomous inspection drone. The inspection results data are stored in the database and used for training the deep learning algorithm to improve performance. The various experiments for pre-inspection of painting processes are performed to verify real-time performance of the proposed deep learning algorithm.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.125-130
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• 2012

This study proposes content and instruction of leadership education based on the results of evaluation and analysis of leadership skill of present levels of students who registered for 'leadership development and training' course which is liberal arts elective course of the 'Accreditation Board of Engineering Education in Korea' and provides best practices to develop leadership skill and to attain academic achievement 2, 4, 6, 7 of 12 academic achievement required by KEC2005. To accomplish a purpose of the study, I divide leadership skill into technical skill, human skill and conceptual skill that suggested by Katz and then measure students' leadership skill. The contents of leadership education to develop and enforce three leadership skills are as follows. First, for developing technical skill, there is a need for systematic education of basic working experience relevant to a major field of study. Second, for developing human skill, there is a need for education of leadership, motivation, conflict management, communication, group dynamics and presentation etc. Third, for developing conceptual skill, there is a need for education of founding vision, business strategy and creative idea etc.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.601-604
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• 2007

In this paper dose a laver surface check using a real time image process. This system does false retrieval of a laver at a laver production line. At first, a laver image was read in real time using a CCD camera. In this paper, we use an area scan CCD camera. Image is converted into a binary code image using a high-speed imaging process board afterwards. A laver feature is extracted by a binary code image. Surface false retrieval is finally executed using a laver feature. In this paper, we use an area feature of a laver image.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.9
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• pp.179-185
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• 2001

In this study, a visual sensor system for weld seam tracking the I-butt weld joints in GMA welding was constructed. The sensor system consists of a CCD camera, a diode laser with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and arc light. In order to obtain the enhanced image, quantitative relationship between laser intensity and iris number was investigated. Throughout the repeated experiments, the shutter speed was set at 1-milisecond for minimizing the effect of spatters on the image, and therefore most of the spatter trace in the image have been found to be reduced. Region of interest was defined from the entire image and gray level of searched laser line was compared to that of weld line. The differences between these gray levels lead to spot the position of weld joint using central difference method. The results showed that, as long as weld line was within $^\pm$15$^\circ$from the longitudinal straight fine, the system constructed in this study could track the weld line successful1y. Since the processing time reduced to 0.05 sec, it is expected that the developed method could be adopted to high speed welding such as laser welding.

• Journal of Animal Environmental Science
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• v.8 no.3
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• pp.165-170
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• 2002

This study was carried out to measure the 3D-distance of a cow model teat for an application possibility on Robotic Milking System(RMS). A teat recognition algorithm was made to find 3D-distance of the model by using Gonzalrez's theory. Some of the results are as follows. 1 . In the distance measurement experiment on the test board, as the measured length, and the length between the center of image surface and the measured image point became longer, their error values increased. 2. The model teat was installed and measured the error value at the random position. The error value of X and Y coordinates was less than 5㎜, and that of Z coordinates was less than 20㎜. The error value increased as the distance of camera's increased. 3. The equation for distance information acquirement was satisfied with obtaining accurate distance that was necessary for a milking robot to trace teats, A teat recognition algorithm was recognized well four model cow teats. It's processing time was about 1 second. It appeared that a teat recognition algorithm could be used to determine the 3D-distance of the cow teat to develop a RMS.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.933-934
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• 2006

High level perceptual tasks such as context understanding, SLAM and object recognition are essential for intelligent robot to provide services for human supports. Those intelligent robots often use camera sensor for vision information, sonar or laser sensor for range information, encoder for angular velocity of wheel and so on. The information is generated at different time intervals by the different H/W devices and S/W algorithms. The generation of high level information requires the specific mixture of low level information. And the information should be represented to be useful for robots to use in their ecological niche. In conventional robot systems, perceptual module requires the resource to use by tightly coupling whenever it is needed. So the resource and information cannot be easily shared and even could be invalid for the delayed information. In this paper, we propose a synchronization system of robot-centered information for context understanding. Our system represents information for the robot capacity and synchronizes the information that is asynchronously generated, where is employed the black-board architecture.