• Journal of Korean Academy of Nursing
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• v.51 no.3
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• pp.305-319
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• 2021

Purpose: The purpose of this study was to develop a measurement tool for a positive nursing organizational culture and to verify its reliability and validity. Methods: A conceptual framework and construct factors were extracted through an extensive literature review and in-depth interviews with nurses. The final version of the preliminary tool for the main survey was confirmed by experts through a content validity test and a preliminary survey of 40 nurses. Subsequently, the final tool was developed using a validity and reliability test containing 43 preliminary items. The final version of the tool was used with 327 hospital nurses in the testing phase for the main survey to assess validity and reliability. Results: From the factor analysis, 4 factors and 26 items were selected. The factors were positive leadership of the nursing unit manager, pursuit of common values, formation of organizational relationships based on trust, and a fair management system. The entire determination coefficient was 67.7%. These factors were verified through convergent, discriminant, and concurrent validity testing. The internal consistency reliability was acceptable (Cronbach's α = .95). Conclusion: Both the validity and reliability of the scale were confirmed demonstrating its utility for measuring positive nursing organizational culture. It is expected to be used for education, research, and practical performance policies regarding the nursing organizational culture.

• Journal of the Korean Society for Precision Engineering
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• v.11 no.5
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• pp.180-188
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• 1994

Error assessment and evaluation for machine for machine tool slides have been considered as essential tools for improving accuracy. In this paper, a computer aided measurement technique is proposed using photo pin diodes of quadrant type and laser source. In thedeveloped system, three photo diodes are mounted on a sensor mounting table, and the sensored signal is processed by specially designed signal conditioner to give fine resolution with minimum noise. A micro computer inputs the processed signal, and the geometric errors of five degree of freedoms are successfully evaluated. Pitch, roll, yaw, vertical and horizontal straightness errors are thus assessed simultaneously for a machine tool slide. Calibration techniques such as optics calibration, photo diode calibration are proposed and implemented, giving precise calibration for the measurement system. The developed system has been applied to a practical machine tool slide, and has been found as one of efficient and precise technique for machine tool slide.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.10 no.3
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• pp.55-60
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• 2001

A technique on the detection of tool wear based on the ultrasonic pulse-echo method in turning process is presented. The change in amount of the reflected energy from nose and flank of the tool can be related to the level of tool wear and mechanical integrity of the tool, that is, there exists an excellent correlation between the ultrasonic measurement and tool wear. As a results, the method is very useful for the prediction of cutting tool life and the determination of tool exchange period.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.338-352
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• 2020

This study identified essential areas of student satisfaction by presenting questions concerning each educational area. The measurement tool of this study was developed based on a literature review, and its validity and reliability were verified through qualitative research and exploratory and confirmatory factor analysis. To measure student satisfaction in university, we developed a tool comprising seven areas: curriculum and instruction; student advising, educational environment, student support, campus life, university image, and administrative services. A total of 54 questions were prepared, and 7 factors were derived. Cronbach's alpha was 0.970 for all questions and ranged from 0.70 to 0.93 for each factor. The results of the confirmatory factor analysis were GFI 0.830, CFI 0.916, TLI 0.910, RMR 0.047, and RMSEA 0.047, which confirmed the suitability of the research model. Moreover, the convergent validity showed that the questions in this tool consistently described the component areas. Therefore, the research tools developed in this study were found to be suitable for measuring student satisfaction.

• Journal of Korean Academy of Nursing
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• v.21 no.3
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• pp.339-348
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• 1991

The study problem was to determine the reliability of the Stewart pain circle measurement tool with Korean subjects. The purpose was to assess the tool for potential use in research in Korea. The subjects were 95 primary school students and 103 university students in Seoul. The study was conducted from May to June 1990, using Stewart's pain color circle tool. To determine the difference in the rated intensity of the order of the pain color circles, statistical mean and standard deviation were employed. Item reliability and test - retest reliability were used to test for reliability. ANOVA and t-test were used to explore for differences in the rated intensity of the order of the pain color circles according to the subjects' general characteristics. The findings were as follows ; 1. Higher level pain intensity was assigned to color circle numbers 2, 4, and 6 (These contain large amounts of color). Lower level pain intensity was assigned to numbers 1, 3, and 5(These contain small amounts of color). Higher and lower levels of pain intensity selection patterns were the same as Stewart's but the highest rating of pain was different. The highest pain intensity rating was given to the color red in this study instead of black as in Stewart's test. 2. University students and primary school students' ratings were not very difteferent. 3. Pain color circle reliability was $\alpha$＝0.3468, Test - retest reliability was supported (t＝0.02~0.97, p＝0.337~0.988) 4. Differences in the rating of the pain intensity order were related to the subjects' age and sex, but not to religion. It was concluded that the pain color circle measurement tool is worth for further study as a research instrument with both Korean adult and child clients for validity and reliability.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.153-170
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• 2012

When companies or institutes manage data, in order to utilize it as useful resources for decision-making, it is essential to offer precise and reliable data. While most small and medium-sized enterprises and public institutes have been investing a great amount of money in management and maintenance of their data systems, the investment in data management has been inadequate. When public institutions establish their data systems, inspection has been constantly carried out on the data systems in order to improve safety and effectiveness. However, their capabilities in improving the quality of data have been insufficient. This study develops an automatic tool to diagnose the quality of data in a way to diagnose the data quality condition of the inspected institute quantitatively at the stage of design and closure by inspecting the data system and proves its practicality by applying the automatic tool to inspection. As a means to diagnose the quality, this study categorizes, in the aspect of quality characteristics, the items that may be improved through diagnosis at the stage of design, the early stage of establishing the data system and the measurement items by the quality index regarding measurable data values at the stage of establishment and operation. The study presents a way of quantitative measurement regarding the data structures and data values by concretizing the measurement items by quality index in a function of the automatic tool program. Also, the practicality of the tool is proved by applying the tool in the inspection field. As a result, the areas which the institute should improve are reported objectively through a complete enumeration survey on the diagnosed items and the indicators for quality improvement are presented quantitatively by presenting the quality condition quantitatively.

• Journal of the Korean Society of School Health
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• v.11 no.2
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• pp.279-284
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• 1998

The purpose of this study was to propose the baseline data for the development of a stress measurement tool for primary school students. The data were collected from 650 students from four primary schools in the Chon-buk area from April 1 to May 30, 1995. Through a pretest and literature review a questionaire was designed with 57 stressors experienced by school children in daily life. Reliability of the tool was tested by a Cronbach's alpha and the result was ${\alpha}=.9137$. Factor analysis was applied to organize the 57 items together. As the result, 8 factors were obtained and these factors explained 40% of the variance. The 8 factors were: 1) Life events related to family, 2) Conflict related to friend & senior or junior, 3) Educational attitude of parents, 4) Own personality, 5) School life events, 6) Scolding by teacher and parent, 7) Conflict with interpersonal relationship, and 8) Change of situation.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.4
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• pp.69-80
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• 2000

Generally, die polishing is a lime consuming process, resulting in 30∼50％ of the whole die manufacturing time. However, die polishing has not been automated yet, since it needs a great deal of experience and skill. This paper describes a new development of automated system for die polishing and focuses on the successful achievements of the element techniques to realize from hand skill to automation, as followings: (1) The 5 axes polishing system by the aid of robot with 2 degrees of freedom, is developed for the application of curved surface die. (2) The CAM system realizes a 5 axes tool path control for polishing and measuring. (3) The conductive elastic tool is able to meet curved surfaces of die and gives a high efficient and quality polishing characteristics. (4) The surface roughness measurement device with noncontact laser is developed and has a high reliability without surface damage.

• The Korean Nurse
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• v.28 no.1
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• pp.77-88
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• 1989

The purpose of this study is to propose the baseline data for -developing the occupational stress measurement tool for Psychiatric nurses Working in the hospital. 135 staff nurses in psychiatric unit of 11. hospital were participated during the period from August 1 to August 20, 1988. Though the pretest and literature review a questionnaire was coristructed with 88 stressors which were experienced by the psychiatric nurses in the hospital. Subjects were given instruction to rate 1~6 likert type scale according to the level of stress experienced by each stressor described. Reliability of the tool was tested by Cronbach's Alpha and the reasult was ${\alpha}=0.94871$. Factor analysis was applied to organize 88 items together: As the result, 14 factors were obtained. The factors were; 1) Administration problem 2) Work overload 3) Role conflict as a profession 4) Lack of professional knowledge and skill 5) Conflict with nurses 6) Conflict with other health teams 7) Conflict in nurse-clint relationship 8) Conflict with supervisor 9) Conflict with suborinate 10) Low reward 11) Scheduling probrem 12) Inappropriate physical environment 13) Staff inadequate 14) Inadequate of equipment.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2001.04a
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• pp.376-381
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• 2001

This paper presents a methodology of machining error compensation by using Artificial Neural Network(ANN) model based on the inspection database of On-Machine-Measurement(OMM) system. First, the geometric errors of the machining center and the probing errors are significantly reduced through compensation processes. Then, we acquire machining error distributions from a specimen workpiece. In order to efficiently analyze the machining errors, we define two characteristic machining error parameters. These can be modeled by using an ANN model, which allows us to determine the machining errors in the domain of considered cutting conditions. Based on this ANN model, we try to correct the tool path in order to effectively reduce the errors by using an iterative algorithm. The iterative algorithm allows us to integrate changes of the cutting conditions according to the corrected tool path. Experimentation is carried out in order to validate the approaches proposed in this paper.