• Fourth Industrial Review
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• v.3 no.2
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• pp.19-26
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• 2023

Purpose - This study is to suggest a model of field education in the Assistant Nurses curriculum using edutech and to produce competent Assistant Nurses students reflecting the requirements of various medical fields. This model expects to upgrade the quality of the field education and to provide an Assistant Nurses school with standardized field education tools using edutech. Research design, data, and methodology - Throughout the review of the related thesis, most of them were studied on Assistant Nurses' job satisfaction, conflicts with other jobs in hospitals, and Assistant Nurses' job area in nursing hospitals. To study the current field education for Assistant Nurses students in hospitals, it used interviewing the heads of the hospital nursing department and reflecting on their interview results to develop the model of field education. Result - The field education model with edutech is processed with flipped class. Each area in flipped class is designed by applications and webs which is friendly to both teachers and students. Conclusion - This study presents a simple and easy process of field education using edutech. In the next study, it needs to find the precious results of comparison between students educated by the new model in field education in the Assistant Nurses' curriculum or not.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.4
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• pp.759-765
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• 2011

This paper proposes an effective assistant model for considering the stator slot-opening effect on air gap flux density distribution in conventional interior-type permanent magnet (IPM) motor. Different from the conventional slot-opening effect analysis in surface-type PM (SPM) motor, a composite effect of slot-opening uniquely existing in IPM motor, which additionally causes enhancement of air gap flux density due to magnet flux path distortion in iron core between the buried PM and rotor surface. This phenomenon is represented by a proposed assistant model, which simply deals with this additional effect by modifying magnetic pole-arc using an effective method. The validity of this proposed analytical model is applied to predict the air gap flux density distribution in an IPM motor model and confirmed by finite element method (FEM).

• Korean Journal of Childcare and Education
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• v.3 no.2
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• pp.123-146
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• 2007

This study has attempted to suggest an assistant model for systematic child care accreditation. This has been carried out from the current consciousness of such needs for child care accreditation as large regional disparity in assistant level, no indication to definite contents and method of assistance, demand for assistant professionals with intensified capacity and requirement for the support of financial and human resources. Six stages of assistant process: the stage of establishment and management of preparation class, the stage of application for assistance and consultation, the stage of assistant meeting, the stage of workshop and observation to exemplary institutions, and the stage of practical application and evaluation of visiting assistance have been suggested. Particularly in order to improve the efficiency of assistance, organization of a committee of expert advisors in each area has been indicated. For the guideline of assistant management, operation of preparation class for accreditation, security of assistant committee members, provision of systematic training and assistant manual, development of supervision program and financial support have been suggested. This assistant manual will contribute to systematic and efficient conduct of assistance program of child care accreditation.

• Transactions of Materials Processing
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• v.6 no.2
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• pp.161-175
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• 1997

The effects of various process paramenters on the detailed aspects of the thermo-mechanical behavior of work roll and on the roll life are investigated via a series of process simulation, using a mathematical model presented previously. The process conditions are discussed that are favorable or optimal in terms of reducing roll wear in the front finishing stands.

• The Journal of Information Systems
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• v.26 no.4
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• pp.163-188
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• 2017

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use the IPA focusing on functional characteristics. Based on the research result, this research has significance in that it not only suggested strategic guidelines for the related business operators, it also helped identify the factors that will influence the intention to use an intelligent personal assistant centering on the functional characteristics of the IPA. Design/methodology/approach Accordingly, in an attempt to identify factors that will influence the intention to use the intelligent personal assistant, we proposed a research model, together with a corresponding hypothesis, which incorporates the functional characteristics (personalization, anthropomorphism, autonomy, communication ability, contextual offer) and perceived enjoyment of the intelligent personal assistant into a technology acceptance model. To verify the research hypothesis of this research, we have conducted a questionnaire survey with individuals who have used an intelligent personal assistant as target. And with the data collected from 215 copies of the questionnaire survey, we have carried out a path analysis using the PLS structural equation. Findings As a result, it turned out that, of the IPA functional characteristics, personalization had a positive effect on perceived usefulness, autonomy had a positive effect on perceived usefulness and perceived ease of use. Also, communication ability had a positive effect on perceived ease of use and perceived enjoyment, and anthropomorphism and contextual offer had a positive effect on perceived ease of use and perceived enjoyment and turned out to be major factors that increased the use intention of intelligent personal assistant.

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.151-164
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• 2000

In this paper we consider the Bayesian hypothese testing for independence and symmetry in Freund's bivariate exponential model with censored data In Bayesian testing problem we use the noninformative priors for parameters which are improper and are defined only up to arbitrary constants. And we use the recently proposed hypotheses testing criterion called the intrinsic Bayes factor. Also we derive the arithmetic and median intrinsic Bayes factors and use these results of analyze some data sets.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.1
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• pp.113-119
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• 1991

The author is currently assistant professor of Management Science at Korea Advanced Institute of Science and Technology, following a few years as assistant professor of Industrial Engineering at Kyung Hee University, Korea. He received his doctorate from the department of Industrial Engineering and Operations Research, University of California, Berkeley. His research interests are time series and forecasting modelling, Bayesian forecasting and the related software development. He is now teaching time series analysis and econometrics at the graduate level.

• Archives of design research
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• v.20 no.1 s.69
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• pp.177-188
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• 2007

This study is about the design of teaching assistant robots that helps elementary school teachers while giving lectures. It focuses on finding images which fits the role of teaching assistant robots, not merely suggesting several designs of robots that are just preferred by children. For this study, the qualities that satisfy the role of teaching assistant were studied by literature reviewing. These qualities were grouped and prioritized to arrange them as role images of teaching assistant robot, through questionnaire to teachers and student teachers. Using the role images and basic adjectives as standards, children performed the image mapping with the pictures of existing robots. This allowed us to find out how children accept the external features of each robot, and which external feature has to be used in order to reveal the role images. And taking form of workshop, children expressed their own images of a teaching assistant robot, a robot's height and location in classroom was surveyed. Based on these studies', three design guidelines of teaching assistant robot have been suggested.

• Transactions of the Korean Society of Automotive Engineers
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• v.17 no.5
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• pp.84-90
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• 2009

The bi-modal tram is under development as a new public transportation. The features of the tram are an extended wheel base and its length. This features result in difficulties for drivers on maneuvering the tram. Therefore, the all wheel steering system is applied to the articulated vehicle. The AWS system enables the vehicle to steer all the rear wheels independently and improves its driving characteristics. However, the bi-modal tram has a problem to move backward in the limited place because of its geometric feature and the AWS system. Hence, the reverse parking assistant algorithm for articulated vehicle is developed to solve the problems of the reverse parking. Using the vehicle model which includes the reverse parking assistant algorithm, the dynamic analysis is performed for several parking cases. By the result of the analysis, the stability and validity of the reverse parking assistant algorithm is verified.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.273-283
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• 2022

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.