• Journal of the Korean Society for Precision Engineering
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• v.28 no.3
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• pp.315-322
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• 2011

High-accuracy micropatterns such as V-shaped microgrooves are increasingly in demand for various engineering areas. And the technical trend goes for large surface areas in precision machining technology. So micropatterns with large surface areas are expected to play an increasingly important role in today's manufacturing technology In this study, we focused on developing machining technologies. First, a machine vision system for precise tool setting is developed. Second, an on-machine measurement (OMM) system for large-area measurement is implemented. And also software for tool path generation and simulation is developed. With these technologies we fabricated large-surface micropatterns in an electroless nickel-plated workpiece with single-crystal diamond tools and a 32-in, $675mm{\times}450mm$ mold with tens of V-and pyramid-shaped micropatterns.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.176-181
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• 1994

As tools for machining precesion componants, end mills and ball end mill are widely used. For the end mill have longer cylindrical shape comparing diameter, they are liable to deflect when machining and induce geometrical error and deterioration of surface roughness. To improve the stiffness and the sharpness of the cutting edge of end mill, a software for manufaturing end mills are developed. The progeam predicts the result of helical flute grinding and the configuration of cutting edge which is located in cylindrical surface. Furthermore to facilitate the manufacturing end mill using CNC grinding machine, the setting conditions which satisfy the geometrical requirments like tool rake angle and stiffness are obtained.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.5
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• pp.101-106
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• 2008

In the wire cut electrical discharge machining, the optimal machining parameters setting satisfying the requirements of both high efficiency and good quality is very difficult because its process involves a series of complex physical phenomena and the machining parameters are numerous over diverse range. In this paper, the experimental investigation has been performed to find out the influence of the machining parameters on the machining performance such as cutting speed and surface roughness. The selected experimental parameters are no load voltage, discharge peak current and pulse-off time. The experimental results give the guideline for selecting suitable machining parameters.

• The Journal of Korea Robotics Society
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• v.18 no.2
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• pp.203-215
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• 2023

Social robots, which are mainly used by individuals, emphasize the importance of human-robot relationships (HRR) more compared to other types of robots. Emotional expression in robots is one of the key factors that imbue HRR with value; emotions are mainly expressed through the face. However, because of cultural and preference differences, the desired robot facial expressions differ subtly depending on the user. It was expected that a robot facial expression customization tool may mitigate such difficulties and consequently improve HRR. To prove this, we created a robot facial expression customization tool and a prototype robot. We implemented a suitable emotion engine for generating robot facial expressions in a dynamic human-robot interaction setting. We conducted experiments and the users agreed that the availability of a customized version of the robot has a more positive effect on HRR than a predefined version of the robot. Moreover, we suggest recommendations for future improvements of the customization process of robot facial expression.

• Communications for Statistical Applications and Methods
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• v.30 no.5
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• pp.437-451
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• 2023

Generalized linear models and generalized linear mixed models (GLMMs) are fundamental tools for predictive analyses. In insurance, GLMMs are particularly important, because they provide not only a tool for prediction but also a theoretical justification for setting premiums. Although thousands of resources are available for introducing GLMMs as a classical and fundamental tool in statistical analysis, few resources seem to be available for the insurance industry. This study targets insurance professionals already familiar with basic actuarial mathematics and explains GLMMs and their linkage with classical actuarial pricing tools, such as the Buhlmann premium method. Focus of the study is mainly on the modeling aspect of GLMMs and their application to pricing, while avoiding technical issues related to statistical estimation, which can be automatically handled by most statistical software.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.56-61
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• 2023

The present study explored a comprehensive investigation of university professors' perspectives on the implementation of ChatGPT - an artificial intelligence-powered language model - in their teaching practices. A diverse group of 30 university professors responded to a questionnaire about the level of their interest in implementing the tool, willingness to apply it, and concerns they have regarding the intervention of ChatGPT in higher education setting. The results showed that the participants are highly interested in employing the tool into their teaching practice, and find that the students are likely to benefit from using ChatGPT in classroom settings. On the other hand, they displayed concerns regarding high depandency on data, privacy-related issues, lack of supports required, and technical contraints. In today's fast-paced society, educators are urged to mindfully apply this inevitable generative AI means with thoughtfulness and ethical considerations to and for their learners. Relevant topics are discussed to successfully intervene AI tools in teaching practices in higher education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4536-4544
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• 2014

This paper proposes a development tool to efficiently develop node software for various operating system platforms in a sensor network. The proposed tool consisted of several modules, such as writing graphical model diagram, PIM and PSM design, code generation, and deployment file generation. Through the proposed tool, the users can graphically draw a sensor network model and design the PIM and PSM of the node software by setting the values of the predefined attributes. The source code of the node software is generated automatically from the PSM using the code templates of the target platform. The deployment files for installing node software on each node are generated automatically. The proposed tool helps the users to develop node software easily for a range of target platforms, even though they do not have details of the low-level information for a sensor network.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.240-250
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• 2013

The early detection of suicidal ideation is essential for the prevention of suicide. This study aimed to develop a brief screening tool that can be easily administered in medical settings. The Suicide Risk Screening Tool was designed for use by physicians to provide a screening process that would be reliable, standardized, quick and feasible to implement. A 2-item screening tool was derived from the Screening for Depression and Thoughts of Suicide in the Norton Sound region of Alaska, USA. The scale was modified to reflect the current situation in Korea including the elimination of the personal identification number, and was labeled the Korean Suicide Risk Screening Tool. Its reliability and applicability for medical setting were examined by explanatory study of 7 clinicians. Its validity was examined among a further 325 patients of four different medical institutions, using the results of interviewer-administered survey included demographic, clinical characteristics, and present mental status as the external criterion. A brief 2-item suicide risk screening tool can be used by mental and non-mental health clinicians to accurately detect suicidality in patients.

• The Journal of Korean Academic Society of Nursing Education
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• v.8 no.1
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• pp.84-94
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• 2002

The purpose of this descriptive study was to identify problems and solving strategies on student evaluation of clinical nursing education. Subjects were 239 nurses in 18 hospitals from February to July, 1999. Content analysis using qualitative research method was used to analyze data taking into account the semi-structured questionnaire. The results of this study were as follows: Four categories about problems and solving strategies on the evaluation of clinical nursing education were identified: 'The environment of the clinical nursing education'; 'contents and items of evaluation tool'; 'criteria of evaluation tool'; and 'problems with evaluators in clinical settings'. The problems of the environment of the clinical nursing education were due to the lack of co-ordination between nursing schools and hospitals. In order to solve these problems, the following strategies were suggested: 'initiate a joint meeting between nursing schools and hospitals'; 'do not change the clinical settings frequently'; 'evaluate students after being familiar with them'; and 'evaluate them immediately after clinical practice was ended'. In the problems of contents and items of the evaluation tool, the contents of the tool were very abstract and general. The strategies for treating these problems were to evaluate student using the concrete evaluation items'; refrain from evaluation of nursing knowledge', develop the evaluation tools that are fit for a specific clinical setting'; develop the evaluation tools in line with students' knowledge level; and 'carry out evaluation using the proper contents of tool. The problems of criteria of the evaluation tools were the results of the lack of the clear criteria. The strategies for treating these problems were 'develop the criteria of the evaluation tool'; simplify the range of the cores or evaluate students using check-list'; to evaluate students in objective manner'. The problem of evaluators in clinical settings was due to the failure by evaluators who were not prepared for the task. The strategies were 'to educate and prepare the evaluators before evaluation'.

• Journal of Korean Academy of Nursing Administration
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• v.10 no.2
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• pp.175-184
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• 2004

Purpose: The purpose of this study was to develop a nursing organization culture measurement tool and to test the validity and reliability of the tool. Method: This study conducted in three phases. In phase 1, theoretical framework choice, Phase 2, measurement items selection, Phase 3, testing of validity and reliability. In order to test validity and reliability of the measurement, data were collected from 915 nurses, working in the 22 hospitals with more 500 beds. The data obtatined were analyzed by SPSS-Win 10.0 program using percentages, Factor Analysis, Cronbach's alpha Coefficients. Result: As a result of the study, nursing organization culture measurement scale was consisted of 20 items, 4 factors. 4 factor explained 60.54% of the total variance, and the Cronbach's alpha of this scale was .8829. Conclusions: The Study supports the validity and reliability of the scales. Therefore, this scale can be effectively utilized for the evaluation of nursing organization culture in hospital setting.