• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.737-738
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• 2006

This paper is proposed hybrid artificial intelligent controller for high performance of induction motor drive. The design of this algorithm based on fuzzy-neural network controller that is implemented using fuzzy control and neural network. The control performance of the hybrid artificial intelligent controller is evaluated by analysis for various operating conditions. The results of experiment prove that the proposed control system has strong high performance and robustness to parameter variation, and steady-state accuracy and transient response.

• 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.

• Journal of Korean society of Dental Hygiene
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• v.12 no.3
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• pp.577-583
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• 2012

Objectives : The purpose of this study was to examine the oral health promotion behavior in dental hygiene students and other major students Methods : Questionnaire survey was carried out targeting 222 dental hygiene students and other major students. The collected data was performed frequency & percentage, chi-square test and multiple regression analysis. Results : The oral health awareness is male and female all 'unhealthy' 39.3%, 39.4%. dental hygiene students and other major students 41.9%, 38.5%(p<0.05). Oral health promotion behavior results, dental hygiene student who is higher than the other major students certificate in oral health education 66.2%, regular dental check-up 81.1%, use of oral hygiene supplies 54.1%, brushing three times a day 79.1% (p<0.05). The affecting factors on the oral health promotion behavior of dental hygiene students were use of oral hygiene supplies, explained 20.8%(p<0.001). The affecting factors on the oral health promotion behavior the other major students were regular dental check-ups, explained 20.1%(p<0.001). Conclusions : To promote the oral health of university students oral health education should be provided. Importance of dental check-up, recommendation for the use of oral hygiene supplies, etc. The findings of this study were oral health education should be strengthened for them.

• Journal of Korean society of Dental Hygiene
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• v.15 no.4
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• pp.623-629
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• 2015

Objectives: The purpose of the study is to investigate the relationships between multiple intelligence, academic self-efficacy, satisfaction with major in dental hygiene students. Methods: A self-reported questionnaire was filled out by 490 dental hygiene students in Jeonbuk from March to April, 2015. The questionnaire consisted of 119 questions of multiple intelligences, 28 questions of academic self-efficacy, 5 questions of satisfaction with major by Likert 5 scale. Data were analyzed by descriptive statistics, Pearson's correlation test, and stepwise multiple regression test using SPSS 18.0 program. Results: The students had the highest score in interpersonal intelligence(3.57) and the lowest in naturalist intelligence(2.66). There was a positive correlation between the multiple intelligences, academic self-efficacy and satisfaction with major(p<0.05). The impact of multiple intelligences on academic self-efficacy was influenced by logical-mathematical intelligence, intrapersonal intelligence, musical intelligence, bodily-kinesthetic intelligence, and linguistic intelligence(p<0.05). The variables that had an impact on multiple intelligences and satisfaction with major were interpersonal intelligence and intrapersonal intelligence(p<0.01). Conclusions: The development of multiple intelligences can enhance the satisfaction with the major, quality of education, academic self-efficacy in the dental hygiene students.

• Parasites, Hosts and Diseases
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• v.44 no.1 s.137
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• pp.43-48
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• 2006

Experimental murine models with high, intermediate and low levels of genetically based susceptibility to Leishmania major infection reproduce almost entire spectrum of clinical manifestations of the human disease. There are increasing non-comparative studies on immune responses against isolated antigens of L. major in different murine strains. The aim of the present study was to find out whether there is an antigen that can induce protective immune response in resistant and susceptible murine strains. To do that, crude antigenic extract of procyclic and metacyclic promastigotes of L. major was prepared and subjected to SDS-PAGE electrophoresis. Western-blotting was used to search for antigen(s) capable of raising high antibody level of IgG2a versus IgG1 in the sera of both infected resistant and susceptible strains. Two novel antigens from metacyclic promastigotes of L. major (140 and 152 kDa) were potentially able to induce specific dominant IgG2a responses in BALB/c and C57BU6 mice. The 2 antigens also reacted with IgG antibody of cutaneous leishmaniasis patients. We confirm that 140 and 152 kDa proteins of L. major promastigotes are inducing IgG production in mice and humans.

• Journal of Korean society of Dental Hygiene
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• v.16 no.5
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• pp.701-708
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• 2016

Objectives: The purpose of the study was to examine the level and relationship of incivility through clinical experience and major satisfaction in dental hygiene students. Methods: A self-reported questionnaire was completed by 357 dental hygiene students in six universities from November 1 to December 1, 2015. The questionnaire by five point Likert scale consisted of general characteristics of the subjects (6 items), incivility (20 items), and major satisfaction (6 items). Incivility was divided into three factors of staff, doctors, and patients & visitors. Data were analyzed with descriptive statistics of variables, multiple response cross analysis, independent t-test, one way ANOVA, and Pearson's correlation coefficient analysis. Results: The mean of incivility and major satisfaction was 2.23 and 3.29, respectively. The incivility of staff, doctors, and patients & visitors showed negative correlations with major satisfaction. Conclusions: The incivility through clinical experience is associated with major satisfaction negative. These results suggest that we need to develop remedy such as positive attitude dealing with incivility and implementing similar environment education during clinical training at school and dealing with stress.

• 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.