• The Korean Journal of Food And Nutrition
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• v.21 no.3
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• pp.374-385
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• 2008

The principal objective of this study was to determine the street-food needs of culinary major and non-major university students. University students in Daejeon were assessed by surveys conducted between November 20, 2007 and November 25, 2007. The results of the surveys were as follows; 1. The reason for street-food usage: mainly snacks(37.4%). 2. Primary factor considered when choosing street-food: taste of the food(48.52%). 3. The frequency of street-food purchase: 2 times/month(52.4%) 4. The mean cost for the one-time purchase of street-food: $1,000{\sim}2,000$ won(62.4%). The Importance-Performance Analysis(IPA) used for obtaining information from the culinary major and non-major university students suggested that the attributes of street-food with fair to poor performance but high importance were as follows: sanitary quality in chicken skewers, soondae, ddeokbokki and fried foods and price and nutrition for hamburgers.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.729-730
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• 2006

The paper is proposed maximum torque control of SynRM drive using adaptive fuzzy neural network(A-FNN) controller and artificial neural network(ANN). For each control mode, a condition that determines the optimal d-axis current $i_d$ for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled A-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the A-FNN and ANN controller.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.761-762
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• 2006

A number of techniques have been developed for estimation of speed or position in motor drives. The accuracy of these techniques is affected by the variation of motor parameters such as the stator resistance, stator inductance or torque constant. This paper is proposed a neural network based estimator for torque and stator resistance in IPMSM Drives. The neural weights are initially chosen randomly and a model reference algorithm adjusts those weights to give the optimum estimations. The neural network estimator is able to track the varying parameters quite accurately at different speeds with consistent performance. The neural network parameter estimator has been applied to slot and flux linkage torque ripple minimization of the IPMSM. The validity of the proposed parameter estimator is confirmed by the operating characteristics controlled by neural networks control.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.743-744
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• 2006

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the copper and iron losses. The design of the speed controller based on adaptive fuzzy-neural networks(AFNN) controller that is implemented using fuzzy control and neural networks. The proposed algorithm allows the electromagnetic losses in variable speed and torque drives to be reduced while keeping good torque control dynamics. The control performance of the hybrid artificial intelligent(HAI) controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.731-732
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• 2006

The paper is proposed maximum torque control of IPMSM drive using adaptive learning mechanism-fuzzy neural network (ALM-FNN) and artificial neural network(ANN). For each control mode, a condition that determines the optimal d-axis current $i_d$ for maximum torque operation is derived. The proposed control algorithm is applied to IPMSM drive system controlled ALM-FNN and ANN, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1042-1045
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• 2005

The feasibility of graphoepitaxial growth of compound semiconductor has been studied. Two kinds of substrates were prepared; one is smooth substrate, the other one is a periodic structured substrate. ZnO film was deposited on both substrates by sputtering, and thermal treatment was performed to improve the crystal quality and investigate the effect of the periodic structure. Atomic force microscopy (AFM) and photoluminescence (PL) were used to characterize the samples. As a result, very similarchange, the improvement of crystallinity, has been observed from both samples, except the sample annealed at the highest temperature. It implies the periodic structure affects the crystallinity of the films, and the graphoepitaxy of compound semiconductors is possible by using appropriate surface structure.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.85-90
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• 2022

This study aims to analyze the differences in major satisfaction among college students by gender and university type(public, private), and what are the college education service factors that affect major satisfaction. Using data from the Korean Children & Youth Panel Survey, a total of 1,220 students' data were analyzed using SPSS 23, and descriptive statistics, t-test, and multiple regression analysis were performed. As a result of the study, first, there was no significant difference in major satisfaction by gender or university type. Second, it was found that the service factors of university education had a significant influence on major satisfaction in the order of curriculum, educational content, student support system, and faculty and educational facilities had no significant effect on major satisfaction. Through this, in order to increase major satisfaction of college students, which is the competitiveness of the university, it is necessary to reorganize the curriculum and educational contents to improvement the quality of education and develop competence based on the needs of society and students.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.1
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• pp.27-36
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• 2014

Purpose: The purpose of this study was to investigate the relation between satisfaction in major, career decision-making self-efficacy and career identity of nursing students. Methods: Data were collected from 543 students by means of self reported questionnaires about satisfaction in major, career decision-making self-efficacy and career identity from November 26 to 30, 2012. Results: The average score of satisfaction in major, career decision-making self-efficacy and career identity of nursing students was 3.56 on a 5 point-scale, 3.28 on a 5 point-scale, and 2.65 on a 4 point-scale respectively. There were significant correlation between satisfaction in major, career decision-making self-efficacy and career identity of nursing students. Career identity could be explained 26.2% by satisfaction in major, career decision-making self-efficacy, admission motivation, and school grade. Conclusion: Career identity was correlated with satisfaction in major and career decision-making self-efficacy in nursing students. Therefore, it is necessary to develop an effective intervention program to improve nursing students's satisfaction in major, career decision-making self-efficacy and career identity.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.2
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• pp.48.1-48.1
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• 2013

We present galaxy luminosity functions (LFs) of subgroups in the Ursa Major cluster. The membership of galaxies is determined by radial velocities which are compiled from the SDSS and NED. We found that the faint end slope (${\alpha}$) of the LF of all sample galaxies in Ursa Major is ${\alpha}=-1.13$. This is consistent with previous result, but shallower than that of the Virgo cluster. Interestingly, the subgroups in Ursa Major show different slopes in their LFs. The NGC 3992 and NGC 4111, the massive subgroups in the Ursa Major cluster, exhibit steep slopes of their LFs comparable to that of the Virgo cluster. On the other hand, less massive group (NGC 3877) shows a very shallow slope of -0.84. Based on the results, we discuss the evolution of galaxies and the assembly history of the Ursa Major cluster.

• Journal of Adhesion and Interface
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• v.6 no.1
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• pp.19-26
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• 2005