• Journal of Power Electronics
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• v.14 no.3
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• pp.580-591
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• 2014

This paper concerns a three-phase self-excited induction generator used for autonomous power generation. It presents a robust control strategy which makes it possible to maintain the frequency quasi constant during the voltage regulation without any control loop on this variable. This strategy, which also prevents the machine disengagement, uses as power converter a simple dimmer. The obtained theoretical and/or numerical results are validated on a laboratory test bench that allows the analysis of this control law effectiveness.

• Journal of Biosystems Engineering
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• v.37 no.3
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• pp.148-154
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• 2012

Purpose: In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.103-116
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• 2003

It's very important to control their buying impulse for consumers surrounding in the very aggressive marketing strategies and materialistic socio-economic system. This study was to explore consumer's strategies to resist their buying impulses. The results from content analysis of interview data show various strategies and very similar to the self-control strategies of literature. The pre-stage strategies to resist buying impose were avoidances marketing strategies, pre-commitments, searching informations and bringing shopping lists and etc. The post-stage strategies were suspicions about marketing messages, considerations of negative outcomes, postponements, economic cost assessments, substitutions and etc. Developments and assessments of education programs to enhance consumer's self-control were needed.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.77-85
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• 2014

This study investigate the youth perceived importance of entrepreneurship education program on the self leadership strategy. The findings are as follows: First, the creativity category of entrepreneurship education were positively related with behavior focused self leadership, natural reward self leadership strategy and constructive thought self leadership. Second, the management category of entrepreneurship education were positively related with natural reward self leadership strategy. Third, the patent category of entrepreneurship education were positively related with behavior focused self leadership and constructive thought self leadership. Consequently, when the youth recognized the importance of management, creativity and patent category, the level of self control, self reward and self efficacy were increased.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.510-523
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• 2022

Considering the problems of poor control effect, weak disturbance rejection ability and adaptive ability of two-wheeled self-balanced robot (TWSBR) systems on undulating roads, this paper proposes a fuzzy neural network active disturbance rejection controller (FNNADRC), that is based on fuzzy neural network (FNN) for online correction of active disturbance rejection controller (ADRC)'s nonlinear control rate. Firstly, the dynamic model of the TWSBR is established and decoupled, the extended state observer (ESO) is used to compensate dynamically and linearize the upright and displacement subsystems. Then, the nonlinear PD control rate and FNN are designed, and the FNN is used to modify the control parameters of the nonlinear PD control rate in real time. Finally, the proposed control strategy is simulated and compared with the traditional ADRC and fuzzy active disturbance rejection controller (FADRC). The simulation results show that the control effect of the proposed control strategy is slightly better than ADRC and FADRC.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.292-297
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• 2013

Nowadays, a strategy of the self-optimizing machining process is an imperative approach to improve the product quality and increase productivity of manufacturing systems. This paper presents a concept of self-optimizing forming system that allows the forming system automatically to adjust the forming parameters online for guarantee the product quality and avoiding the machine stop. An intelligent monitoring system that has the functions of observation, evaluation and diagnostic is developed to evaluate the pully quality during forming process. Any abnormal variation of forming machining parameters could be detected and adjusted by an intelligent control system aiming to maintain the machining stability and the desired product quality. This approach is being practiced on the pully forming machine for evaluating the efficiency of the proposed strategy.

• Journal of Korean society of Dental Hygiene
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• v.13 no.2
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• pp.343-350
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• 2013

Objectives : The objective of this study is to analyze about learning styles and self-regulated learning strategies of dental hygiene students and to find methods that may increase learning outcomes by selecting effective learning methods. Methods : The subjects of this study are 524 dental hygiene students in region of chonbuk from May, 2012 to June, 2012. collected informations are analyzed with SPSS. Results : 1. 38.1%, assimilator is most of learning styles of dental hygiene students, followed by 29.7%, converger, 16.2%, diverger, 15.8%, accommodator. 2. 28.0%, converger and diverger are most of subjects whose grade score is between 2.0-2.9, 41.50%, accommodator is most of 3.0-3.4, and 41.61% accommodator is most of 3.5-3.9, and 28.0%, converger is most of subjects whose grade score is more than 4.0. this results has statistically signification(p<0.01). 3. $8.71{\pm}1.78$, assimilation strategy is most self-regulated learning strategies of dental hygiene students, followed by $8.26{\pm}1.94$, control strategy, $7.52{\pm}2.00$, memorization strategy. accommodator is most showed $7.82{\pm}2.24$, $9.13{\pm}1.74$, $8.71{\pm}2.20$ in memorization strategy, assimilation strategy, control strategy. 4. It is showed that assimilator is significantly related with satisfaction for major(p<0.01), accommodator is significantly related with academic records(p<0.05), and diverger is significantly negative related with academic records, through the results of the analysis of factors that affects learning styles. Conclusions : Organizing above results, It is considered that instructor needs to acknowledge learning styles of students through understanding about various learning styles of students, and may has to develop suitable teaching method for students based on that.

• Proceedings of the KSME Conference
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• 2001.06b
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• pp.105-109
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• 2001

This paper discuss the real-time self-tuning learning control based on evolutionary computation, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.9
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• pp.1463-1468
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• 2003

This paper presented the real-time self-tuning learning control based on evolutionary computation, which proves its superiority in finding of the optimal solution at the off-line learning method. The individuals of the populations are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations is proposed. It is possible to control the control object slightly varied as time changes. As the state value of the control object is generated, evolutionary strategy is applied each sampling time because the learning process of an estimation, selection, mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

• English Language & Literature Teaching
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• v.13 no.3
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• pp.253-273
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• 2007

This study explores issues on how students' variables are related to their educational achievement in English subject. The National Assessment of Educational Achievement (NAEA) is conduced every year to measure educational progress and achievement, and to monitor the quality of education at the national level and appropriateness of the national curriculum. It also serves the purpose to collect background information affecting educational achievement. The background information is gathered by using questionnaires for students, teachers and school administrators. Among the student variables in the national level educational achievement assessment is self-regulated learning, which is composed of self-efficacy, self-control and learning strategy. In the NAEA in 2005 it was found that the features of self-regulated learning were significantly correlated to test scores in English. The findings from the analysis of the trends of the relationships between test scores in English and information on students' self-regulated learning provide implications for the national curriculum as well as for learning and teaching.