• The Journal of the Acoustical Society of Korea
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• v.21 no.3
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• pp.304-309
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• 2002

We propose the computation reduction method of real root method that is mainly used in the CELP (Code Excited Linear Prediction) vocoder. The real root method is that if polynomial equations have the real roots, we are able to find those and transform them into LSP. However, this method takes much time to compute, because the root searching is processed sequentially in frequency region. In this paper, to reduce the computation time of real root, we compare the real root method with two methods. In first method, we use the mal scale of searching frequency region that is linear below 1 kHz and logarithmic above. In second method, The searching frequency region and searching interval are ordered by each coefficient's distribution. In order to compare real root method with proposed methods, we measured the following two. First, we compared the position of transformed LSP (Line Spectrum Pairs) parameters in the proposed methods with these of real root method. Second, we measured how long computation time is reduced. The experimental results of both methods that the searching time was reduced by about 47% in average without the change of LSP parameters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1122-1127
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• 2007

We propose the complexity reduction algorithm of real root method that is mainly used in the Vocoder. The real root method is that if polynomial equations have the real roots, we are able to find those and transform them into LSP(Line Spectrum Pairs). However, this method takes much time to compute, because the root searching is processed sequentially in frequency region. The important characteristic of LSP is that most of coefficients are occurred in specific frequency region. So, the searching frequency region is ordered and adjusted by each coefficient's distribution in this paper. Transformation time can be reduced by proposed algorithm than the sequential searching method in frequency region. When we compare this proposed method with the conventional real root method, the experimental result is that the searching time was reduced about 48% in average.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.5
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• pp.86-92
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• 1997

An ultrasonic motor(USM) has good characteristics such as compact size, silent motion, high speed responce, low speed and high torque. The USM is driven by 2-phase AC electricity. The control parameters of USM are voltage, phase, and frequency of input powers, etc. In this paper, the fine elasticity and viscosity control with no force feedback can be implemented by a phase difference parameter. Experiment results show the change of torque with regard to elasticity and viscosity. Therefore the USM can be used as a micro-actuator in the automation field of the installation.

• Proceedings of the Acoustical Society of Korea Conference
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• 1992.06a
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• pp.54-57
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• 1992

음성합성에 있어서 음의 자연성을 합성시키는 문제는 크게 두가지로 나누어진다. 첫째는 합성음을 원음에 가깝게 구현하려는 합성방법 자체의 문제로, 언어 합성이 가지고 있는 일반적인 문제이다. 또 다른 문제는 운율에 관한 것으로 낱말 또는 문장 내에서의 운율에 따라 합성음의 자연성이 좌우된다. 이러한 운율에 따라 합성음의 자연성이 좌우된다. 이러한 운율의 조절에는 지속시간, 피치, 그리고 음의 세기 등이 이용된다. 켑스트럼을 이용하여 분석합성을 하는 경우, pole-zero 모델로 스펙트럼 포락을 근사하므로 원음에 충실하고, 필터계수와 구동정보를 분리하여 분석, 합성하므로 인위적인 운율의 조절이 용이하여 음성합성이 가지는 위의 두가지 문제를 해결하는데 적합하다고 판단된다. 본 연구에서는 켑스트럼을 이용하여 분석합성 시스템을 구성하였다. 음성 합성 과정에서, 운율 조절 파라미터중의 하나인 피치 주기의 변경에 따라 스펙트럼 포락의 왜곡에 대해 살펴보고, 왜곡을 최소화하는 방안을 제안한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.12
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• pp.1162-1169
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• 2010

The dynamic balancing of a rotor system is needed to alleviate the imbalances originating from various sources encountered during blade manufacturing processes and environmental factors. This work aims at developing a comprehensive analysis system which consists of cumulative module of test D/B and selection of optimal control parameters. This system can be used for the dynamic balancing of helicopter rotors based on tracking results from the whirl tower test. For simplicity of the analysis, a linear relation is assumed between the balancing input parameters and the blade track responses leading to influence coefficients and thereby the rotor system identification is made. In addition, the balancing parameters of the individual blades are sought using the genetic algorithm and the effectiveness of the proposed method is demonstrated in comparison with the test results.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.487-496
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• 2000

In this paper, the Multi-FNN(Fuzzy-Neural Networks) model is identified and optimized using HCM(Hard C-Means) clustering method and genetic algorithms. The proposed Multi-FNN is based on Yamakawa's FNN and uses simplified inference as fuzzy inference method and error back propagation algorithm as learning rules. We use a HCM clustering and Genetic Algorithms(GAs) to identify both the structure and the parameters of a Multi-FNN model. Here, HCM clustering method, which is carried out for the process data preprocessing of system modeling, is utilized to determine the structure of Multi-FNN according to the divisions of input-output space using I/O process data. Also, the parameters of Multi-FNN model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. A aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. The aggregate performance index stands for an aggregate objective function with a weighting factor to consider a mutual balance and dependency between approximation and predictive abilities. According to the selection and adjustment of a weighting factor of this aggregate abjective function which depends on the number of data and a certain degree of nonlinearity, we show that it is available and effective to design an optimal Multi-FNN model. To evaluate the performance of the proposed model, we use the time series data for gas furnace and the numerical data of nonlinear function.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.05a
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• pp.43.1-43.1
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• 2011

Cu(In,Ga)$Se_2$, $CuInS_2$ 등의 CIS계 화합물 박막 소재를 활용한 태양전지는 높은 광흡수 계수, 상대적으로 높은 변환 효율 및 미래의 잠재적 변환 효율, 화학적 안정성, 도시적인 미관 등의 장점으로 인하여 활발한 연구 및 양산화가 진행 중에 있다. CIGS 박막 태양전지 내에서 광생성된 캐리어들의 재결합 메커니즘을 이해하고 태양에너지의 변환 중 에너지 손실을 더욱 줄이기 위해서는 CIGS 태양전지의 결함 특성에 대한 규명이 중요하며, 이차상의 분리, 셀렌화, Na 확산 등과 같이 CIGS 화합물 박막이 성장하는 동안 일어나는 현상들과 결함발생 사이의 관계에 대한 체계적인 연구가 필수적이다. 특히, CIGS 박막 성장 공정 중 Se flux는 CIGS 막의 성장과 소자의 전기적 파라미터에 영향을 미치므로, Se 조절 및 이에 관련된 결함들을 이해하는 것은 CIGS 박막 태양전지의 전기적 특성을 향상시키는 중요한 열쇠가 된다. 본 연구에서는 3단계 동시증발공정을 이용하여 CIGS 박막 태양전지를 제조 분석하여, 공정 중기판온도 및 Se flux가 CIGS 박막 성장에 미치는 영향을 파악하고자 하였으며, 이를 통한 공정조건 최적화로 CIGS 박막 태양전지의 특성을 향상시키고 고효율을 달성할 수 있음을 확인하였다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.4
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• pp.466-473
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• 2013

In this paper, a compact planar multi-loop self-resonant coil of high quality factor with a coaxial cross section is proposed for effective wireless charging. The proposed coil has high Q-factor and a resonant frequency of a coil can be easily controlled by adjusting distributed capacitance. For designing the coil, a self-inductance and a distributed capacitance are calculated theoretically. The self-inductance is calculated from the sum of the mutual energies between small circular loops that are made by dividing the cross section of the coil. To verify its properties and calculation results, the self-resonant coils are fabricated by using a coaxial cable with characteristic impedance of $50{\Omega}$. The measured frequencies are very consistent with the calculated ones. In addition, the resonant frequency can be adjusted slightly by the tuning parameter ${\gamma}$. The resonant coils are applied to a tablet PC, the Q-factors of the Tx and Rx resonant coils are 282 and 135, respectively. As a result of measurement when height between the two resonant coils is 4.4 cm, the power transfer efficiency is more than 80 % within a radius of 5 cm.

• Applied Chemistry for Engineering
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• v.31 no.2
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• pp.208-214
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• 2020

In this study, the characteristics and mechanism of microwave-assisted drying were investigated to improve the efficiency of the storage and extraction of biomass through the removal of moisture from plant cell Taxus chinensis. The efficiency of microwave-assisted drying increased with increasing microwave power. When the experimental data were fitted to typical drying kinetic models, the page and modified Page models were the most appropriate. The microwave-assisted drying was determined to be a spontaneous endothermic process, and randomness increased during the drying process. The effective diffusion coefficient (3.445 × 10^-9~7.163 × 10^-7 ㎡/s) and mass transfer coefficient (3.1529 × 10^-5~1.2895 × 10^-2 m/s) increased with increasing microwave power. The small Biot number (0.3890~0.7198) indicated that the mass transfer process was externally controlled.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.402-410
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• 2004

In this paper, an optimal design method of clonal selection based Fuzzy-Neural Networks (FNN) model for complex and nonlinear systems is presented. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. Also Advanced Clonal Selection (ACS) is proposed to find the parameters such as parameters of membership functions, learning rates and momentum coefficients. The proposed method is based on an Immune Algorithm (IA) using biological Immune System and The performance is improved by control of differentiation rate. Through that procedure, the antibodies are producted variously and the parameter of FNN are optimized by selecting method of antibody with the best affinity against antigens such as object function and limitation condition. To evaluate the performance of the proposed method, we use the time series data for gas furnace and traffic route choice process.