• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.455-456
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• 2015

본 논문에서는 무선전력 전송을 위한 평판 나선형 코일의 최적 형상 선정을 위해 각 코일의 형태에 따른 출력 성능을 비교 및 평가한다. 코일 간 결합계수, 각 코일의 Q-factor 측면에서 송수신 패드의 성능을 비교하며, 이를 위해 송수신 패드가 차지하는 면적을 최대한 활용하여 모델링 한다. 모델링한 코일에 대하여 수신패드의 수직 및 수평이동에 대한 성능 지표를 평가하고 코일의 최적 형상을 선정한다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.10 no.6
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• pp.763-772
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• 1998

The effects of an inserted coil on flow patterns and heat transport performance for a horizontal rotating heat pipe have been studied experimentally. Especially, the present study is to see an internally inserted helical coil inside a RHP would lead to the same kind of results as internal fins. Visualization test conducted for an acryl tube, charged water with at a volumetric rate of 20%. When the flow kept pool regime at a low RPM(less than 1,000 RPM), the movement of coil forced the water to flow in axial direction. But this pumping effect of coil disappeared, when the pool regime changed to annular one which could be created by increasing RPM. The pumping effects for RHP with an inserted coil resulted enhancement both in condensation heat transfer coefficient and heat transport limitation, as obtained in case of using internal fins. But all these effects became negligible in the range of higher RPM(above 1,000∼1,200) with the transition of flow regime to annular flow.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.10-18
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• 2010

This paper presents a optimization of sigmoid activation function parameter using genetic algorithms and pattern recognition analysis in input space of two spirals benchmark problem. To experiment, cascade correlation learning algorithm is used. In the first experiment, normal sigmoid activation function is used to analyze the pattern classification in input space of the two spirals problem. In the second experiment, sigmoid activation functions using different fixed values of the parameters are composed of 8 pools. In the third experiment, displacement of the sigmoid function to determine the value of the three parameters is obtained using genetic algorithms. The parameter values applied to the sigmoid activation functions for candidate neurons are used. To evaluate the performance of these algorithms, each step of the training input pattern classification shows the shape of the two spirals.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.2
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• pp.163-169
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• 2016

In this paper, we miniaturized the loop and coil in magnetic resonance wireless power transfer(MR-WPT) system for application to the small mobile device. The proposed disk type double coil resonator was designed to cause resonance at 6.87 MHz. It is composed of thin copper on both-side of acrylic substrate structured 2 mm width, 1 mm pitch and 8 turns. The outer radius of spiral coil pattern is 9 cm. And the proposed loop was made of the copper wire 5 mm diameter of cross-section. The size of loop is 10 cm diameter. For resonance at 6.87 MHz, the capacitor with 3,300 pF was connected in series on the loop. We rearranged the resonators and organized several WPT systems which is rearranged by resonators. The highest transfer efficiency of miniaturized WPT system was 35.67 %. This proposed design of spiral double coil will contribute to make resonator smaller for appling small and thin mobile device.

• The Journal of the Acoustical Society of Korea
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• v.12 no.6
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• pp.53-61
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• 1993

이 논문은 접은 도체박판의 단순한 구조가 전자유도형 변환기 역할을 한다는 것을 기술하고 있다. Endoh 등은 볼록한 나선코일과 동박판으로 구성된 볼록한 방사면 모양을 한 전자유도형 변환기가 시간적으로 짧은 충격파를 발생할 수 있기 때문에 뚜렷한 초음파 영상을 얻을 목적으로 Eisenmenger에 이어 전자유도형 EMAT를 보고한 바 있다. 여기서는 코일이 없는 EMAT를 소개한다. 이것은 두께 0.05mm, 폭 5cm 길이 임의의 동박판으로 구성되며 동박판은 절연도료를 칠한 종이로 절연되고 접어서 견고하게 밀착시키며, 여러번 접는 경우는 손부채처럼 접는 방향은 교대로 반대방향으로 접는다. 그리고는 엷은 고무판을 표면에 밀착시키고 연변을 실리콘 충전제등으로 고정시키거나, polyester molding을 하여 표면을 concave형으로 하여 완성하였다. 완성된 EMAT들은 수조에서 축전기방전방식으로 실험을 하였으나 EMAT에서 발생되는 으파의 진폭은 접는 회수에 비례하였으녀, 단접형 EMAT보다 다접형 EMAT의 발생음파가 보다 강력하였다. Concave형 EMAT의 음속은 예견한 바와 같이 잘 집속되었다. 그러나 평판형의 경우는 지향성은 100도로서 넓은 지향각을 나타내었다. 2μF, 600Volt의 축전기 방전에 의한 집속형 concave EMAT를 여기시키기 위한 축전기의 용량이 작을수록 대역폭은 더욱 넓었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1724-1733
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• 2014

This paper presents a pattern recognition analysis of two spirals problem and optimization of Cascade Correlation learning algorithm using in combination with a non-monotone function as CosExp(cosine-modulated symmetric exponential function) and a monotone function as sigmoid function. In addition, the algorithm's optimization is attempted. By using genetic algorithms the optimization of the algorithm will attempt. In the first experiment, by using CosExp activation function for candidate neurons of the learning algorithm is analyzed the recognized pattern in input space of the two spirals problem. In the second experiment, CosExp function for output neurons is used. In the third experiment, the sigmoid activation functions with various parameters for candidate neurons in 8 pools and CosExp function for output neurons are used. In the fourth experiment, the parameters are composed of 8 pools and displacement of the sigmoid function to determine the value of the three parameters is obtained using genetic algorithms. The parameter values applied to the sigmoid activation functions for candidate neurons are used. To evaluate the performance of these algorithms, each step of the training input pattern classification shows the shape of the two spirals. In the optimizing process, the number of hidden neurons was reduced from 28 to15, and finally the learning algorithm with 12 hidden neurons was optimized.