• Journal of the Korean housing association
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• v.25 no.4
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• pp.19-29
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• 2014

The study is aimed to suggest user-oriented improvement strategies for spatial plan of senior centers that provide the elderly with leisure and welfare functions for in rural areas. Five counties with the highest ratio of the elderly of 65 or over were selected from Gyeongsangbuk-do rural areas. The study classified the senior centers into 5 types depending on their floor plan, conducted individual interviews on the representatives and users of the centers using open-end questions through one-day observation on the spot, and performed actual measurement of the floor and analysis of current use. Based on above research, the result was drawn by physical characteristics, the current use, and requirements. The study is intended to serve as preliminary data for future plan of senior centers in rural areas.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.05a
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• pp.416-419
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• 2009

The widely used control theory based design of PI family controllers fails to perform satisfactorily under-parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of loaming through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. The paper proposes high performance speed and current control of synchronous reluctance motor(SynRM) drive using adaptive loaming mechanism-fuzzy neural network (ALM-FNN) and fuzzy logic control(FLC) controller. The proposed controller is developed to ensure accurate speed and current control of SynRM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. Also, this paper proposes the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.

• Biomedical Science Letters
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• v.30 no.2
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• pp.81-85
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• 2024

Among all subjects who participated in the survey in the 9th 1st year (2022), 2,448 men (44.0%) and 3,166 women (56.0%) aged 12 or older were identified to determine oral care behavior according to orthodontic treatment experience. The purpose was to provide basic data on the oral care of patients wearing orthodontic appliances. 1. When it comes to brushing teeth, brushing before going to bed was the highest. Regarding the use of oral care products, 3,965 people (69.1%) said they 'do not use dental floss', 4,064 people (73.2%) said they 'do not use interdental brushes', and 4,064 people (73.2%) said they used oral rinse. 'I don't do it' was the highest at 4,417 (77.7%), and electric toothbrushes were the highest at 'I don't do it' at 5,241 (93.6%). 2. In terms of the effect of orthodontic treatment experience on toothbrushing time, with orthodontic treatment experience, toothbrushing after breakfast was 0.598 times more likely (P<0.001), and toothbrushing after lunch was 1.482 times more likely (P<0.001). Toothbrushing after dinner was 0.805 times higher (P=0.049), and toothbrushing before going to bed was 1.794 times higher (P<0.001), which was statistically significant. 3. When having orthodontic treatment experience, dental floss was found to be used 1.434 times more often (P=0.002), interdental brushes were used 1.464 times more times (P<0.001), and oral rinses were found to be used 1.457 times more times (P=0.002), which was statistically significant.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.221-222
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• 2008

This paper is proposed a high performance speed control of the synchronous reluctance motor through the artificial intelligent SV-PWM. SV-PWM is controlled using fuzzy control that is artificial intelligent control. SV-PWM can be maximum used maximum dc link voltage and is excellent control method due to characteristic to reducing harmonic more than others. Fuzzy control has a advantage which can be robustly controlled. Simulation results are presented to show the validity of the proposed algorithm.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.11a
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• pp.301-305
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• 2007

This paper is proposed by fuzzy-based MPPT control of photovoltaic to drive induction motor. Design and prototype implement of a fuzzy logic(FL) controller for maxim]m power extraction from a stand-alon photovoltaic Is proposed in this paper. Error and the change of error between maximum power and real power are used by input of fuzzy controller. Moreover, it output changing of voltage from control constant. The validity of this paper is proved by comparing maximum power point tracking and performance of motor drive through comparison fuzzy and PI of tradition method.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.11a
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• pp.295-299
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• 2007

This paper presents the photovoltaic(PV) water pumping system with a maximum power point tracking(MPPT). The wale- pumping system uses a variable speed single phase induction motor(SPIM) driven a centrifugal pimp by field oriented control(FOC) inverter. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The duty cycle directly relate with a flux producing current control($i_{ds}$). The FOC inverter uses a current control voltage source inverter(CC-VSI). The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage ($V_{dq}$), current($I_{dq}$), speed of motor and torque.

• Proceedings of the KIEE Conference
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• 2008.04c
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• pp.122-124
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• 2008

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. In order to maximize the efficiency in such applications, this paper proposes the Adaptive-FNIS(Fuzzy Neural Network Inference System). The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal d-axis current $i_d$. This paper considers the parameter variation about the motor operation. The operating characteristics controlled by efficiency optimization control are examined in detail.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.463-463
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• 2005

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.245-246
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• 2008

This paper is proposed a high performance speed control of the Synchronous Reluctance Motor through the FNN(Fuzzy Neural-Network) based SV-PWM(Space Vector PWM). SV-PWM is controlled using FNN control. SV-PWM can be maximum used maximum dc link voltage and is excellent control method due to characteristic to reducing harmonic more than others. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Simulation results are presented to show the validity of the proposed algorithm.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1262_1263
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• 2009

Programmable Metallization Cell (PMC) is a memory device based on the electrolytical characteristic of chalcogenide materials. In this study, we investigate the nature of thin films formed by photo doping of Ag ions into chalcogenide materials for use in solid electrolyte of programmable metallization cell devices. We were able to do more economical approach by using copper which play an electrolyte ions role. The results imply that a Ag-rich phase separates owing to the reaction of Ag with free atoms from chalcogenide materials.