• Title/Summary/Keyword: conversion coefficients

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Analysis of Transistor's Circuit Coefficients on the Performance of Active Frequency Multipliers (전력증폭기 트랜지스터 파라미터의 능동 주파수 체배기 성능 영향에 대한 분석)

  • Park, Young-Cheol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.11
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    • pp.1137-1140
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    • 2011
  • In this paper, the optimal condition for efficient active frequency multipliers is analyzed. This analysis is based on the effects from transistor nonlinear coefficients, harmonic impedances, and output parasitic components. From the analysis, normalized harmonic power is estimated with the clipping condition of a commercial transistor, and the condition for high conversion efficiency is suggested. From the analysis, a class-F frequency tripler was implemented for the output at 2.475 GHz, showing the maximum efficiency of 22.9 % and the maximum conversion gain of 9.5 dB.

Voice Conversion Using Linear Multivariate Regression Model and LP-PSOLA Synthesis Method (선형다변회귀모델과 LP-PSOLA 합성방식을 이용한 음성변환)

  • 권홍석;배건성
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3
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    • pp.15-23
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    • 2001
  • This paper presents a voice conversion technique that modifies the utterance of a source speaker as if it were spoken by a target speaker. Feature parameter conversion methods to perform the transformation of vocal tract and prosodic characteristics between the source and target speakers are described. The transformation of vocal tract characteristics is achieved by modifying the LPC cepstral coefficients using Linear Multivariate Regression (LMR). Prosodic transformation is done by changing the average pitch period between speakers, and it is applied to the residual signal using the LP-PSOLA scheme. Experimental results show that transformed speech by LMR and LP-PSOLA synthesis method contains much characteristics of the target speaker.

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Voice personality transformation using an orthogonal vector space conversion (직교 벡터 공간 변환을 이용한 음성 개성 변환)

  • Lee, Ki-Seung;Park, Kun-Jong;Youn, Dae-Hee
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.96-107
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    • 1996
  • A voice personality transformation algorithm using orthogonal vector space conversion is proposed in this paper. Voice personality transformation is the process of changing one person's acoustic features (source) to those of another person (target). In this paper, personality transformation is achieved by changing the LPC cepstrum coefficients, excitation spectrum and pitch contour. An orthogonal vector space conversion technique is proposed to transform the LPC cepstrum coefficients. The LPC cepstrum transformation is implemented by principle component decomposition by applying the Karhunen-Loeve transformation and minimum mean-square error coordinate transformation(MSECT). Additionally, we propose a pitch contour modification method to transform the prosodic characteristics of any speaker. To do this, reference pitch patterns for source and target speaker are firstly built up, and speaker's one. The experimental results show the effectiveness of the proposed algorithm in both subjective and objective evaluations.

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A Design of Two-stage Cascaded Polyphase FIR Filters for the Sample Rate Converter (표본화 속도 변환기용 2단 직렬형 다상 FIR 필터의 설계)

  • Baek Je-In;Kim Jin-Up
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8C
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    • pp.806-815
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    • 2006
  • It is studied to design a low pass filter of the SRC(sample rate converter), which is used to change the sampling rate of digital signals such as in digital modulation and demodulation systems. The larger the conversion ratio of the sample rate becomes, the more signal processing is needed for the filter, which corresponds to the more complexity in circuit realization. Thus it is important to reduce the amount of signal processing for the case of high conversion ratio. In this paper it is presented a design method of a two-stage cascaded FIR filter, which proved to have reduced amount of signal processing in comparison with a conventional single-stage one. The reduction effect of signal processing turned out to be more noticeable for larger value of conversion ratio, for instance, giving down to 72% in complexity for the conversion ratio of 32. It has been shown that the reduction effect is dependent to specific combination of conversion ratios of the cascaded filters. So an exhaustive search has been performed in order to obtain the optimal combination for various values of the total conversion ratio. In this paper every filter is considered to be implemented in the form of a polyphase FIR filter, and its coefficients are determined by use of the Parks-McCllelan algorithm.

Validation of MoCA-MMSE Conversion Scales in Korean Patients with Cognitive Impairments

  • Jung, Young Ik;Jeong, Eun Hye;Lee, Heejin;Seo, Junghee;Yu, Hyun-Jeong;Hong, Jin Y.;Sunwoo, Mun Kyung
    • Dementia and Neurocognitive Disorders
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    • v.17 no.4
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    • pp.148-155
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    • 2018
  • Background and Purpose: Two conversion scales between the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) have been validated for Korean patients with Parkinson's disease. The aim of the present study was to validate these conversion scales for all patients with cognitive impairments regardless of dementia subtype. Methods: Medical records of 323 subjects who completed both MMSE and MoCA on the same day were retrospectively reviewed. Mean, median, and root mean squared error (RMSE) of the difference between true and equivalent MMSE scores were calculated. Intraclass correlation coefficients (ICCs) between true and equivalent MMSE scores were also calculated. The validity of MoCA-MMSE conversion scales was evaluated according to educational level (low educated: ${\leq}6$ years; high educated: ${\geq}7$ years) and subtypes of cognitive impairment. Results: The difference between true and equivalent MMSE scores had a median value of 0, a mean value of 0.19 according to the van Steenoven scale, a mean value of 0.57 according to the Lawton scale, RMSE value of 2.2 according to the van Steenoven scale, and RMSE value of 0.42 according to the Lawton scale. Additionally, ICCs between true and equivalent MMSE scores were 0.92 and 0.90 on van Steenovan and Lawton conversion scales, respectively. These results were maintained in subgroup analyses. Conclusions: Findings of the present study suggest that both van Steenovan and Lawton MoCA-MMSE conversion scales are applicable to transforming MoCA scores into MMSE scores in patients with cognitive impairments regardless of dementia subtype or educational level.

Analysis of Impulse Turbine for Wave Energy Conversion Using CFD Method (수치해석을 이용한 파력발전용 임펄스 터어빈의 성능해석)

  • Hyun, Beom-Soo;Moon, Jae-Seung
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.10a
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    • pp.81-86
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    • 2003
  • This paper deals with the performance analysis and design of impulse turbine for OWC type wave energy plant. Numerical analysis was performed using a commercially-available software FLUENT. This parametric study includes the variation of several important parameters such as the number and shape of blades, hub ratio and tip clearance. Since parametric study at various flow coefficients requires considerable amount of computing tim, two-dimensional analysis was employed to find out optimum principal particulars in rather simple manner. Full three-dimensional calculation was also performed for several test cases to confirm the validity of two-dimensional approach. Up to the present stage, tentative result is well demonstrating the usefulness of 2-D analysis.

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Analysis of Impulse Turbine for Wave Energy Conversion Using CFD Method (수치해석을 이용한 파력발전용 임펄스 터어빈의 성능해석)

  • HYUN BEOM-SOO;MOON JAE SEUNG
    • Journal of Ocean Engineering and Technology
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    • v.18 no.5
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    • pp.1-6
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    • 2004
  • This paper deals with the performance analysis and design of impulse turbine for owe type wave energy plant. Numerical analysis is performed using a commercial software FLUENT. This parametric study includes the variation of several important parameters, such as the number and shape of blades, hub ratio, and tip clearance. Since parametric study at various flow coefficients requires a considerable amount of computing time, two-dimensional analysis is employed to find out optimum principal particulars. Full three-dimensional calculations are also performed for several test cases, in order to confirm the validity of the two-dimensional approach. Up to the present stage, tentative results are demonstrated the usefulness of 2-D analysis.

Effect of Capacitance Error on the A/D conversion Accuracy (커패시턴스 오차가 아날로그 디지털 변환의 정확도에 미치는 영향)

  • Lee, Yun-Tae;Kim, Chung-Gi;Gyeong, Jong-Min
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.5
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    • pp.57-61
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    • 1985
  • The e(lect of capacitance error on the A/D conversion accuracy in the A/D converter using binary-weighted capacitor array was scruntized. Besides the Monte-Carlo method considering the inter-capacitance ratios as random variables, " correlation approach" con-sidering the correlation coefficient between capacitances is proposed in this paper. Bt was observed by the measurement of capacitances of monolithic MO5 capacitors that the correla-tion coefficient between capacitors decreases as the capacitor size incrrases. It was also verified that the parallel connection of unit capacitors and the common centroid layout scheme signi(icantly increase the inter-capacitance correlation coefficients.

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Uncertainty and Sensitivity Analysis on A Biosphere Model

  • Park, Wan-Sou;Kim, Tae-Woon;Lee, Kun-Jai
    • Journal of Radiation Protection and Research
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    • v.15 no.2
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    • pp.101-112
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    • 1990
  • For the performance assessment of the radioactive waste disposal system (repository), a biosphere model is suggested. This biosphere model is intended to calculate the annual doses to man caused by the contaminated river water for eight pathways and four radionuclides. This model can also be applied to assess the radiological effects of contaminated well water. To account for the uncertainties on the model parameter values, parameter distributions are assigned to these model parameters. Then, Monte Carlo simulation method with Latin Hypercube sampling technique is used. Also, sensitivity analysis is performed by using the Spearman rank correlation coefficients. It is found that these methods are a very useful tool to treat uncertainties and sensitivities on the model parameter values and to analyze the biosphere model. A conversion factor is proposed to calculate the annual dose rate to humans arising from a unit radionuclide concentration in river water. This conversion factor allows for the substitution of the biosphere model in a probabilistic performance assessment computer code by one single variable.

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Voice conversion using low dimensional vector mapping (낮은 차원의 벡터 변환을 통한 음성 변환)

  • Lee, Kee-Seung;Doh, Won;Youn, Dae-Hee
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.4
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    • pp.118-127
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    • 1998
  • In this paper, we propose a voice personality transformation method which makes one person's voice sound like another person's voice. In order to transform the voice personality, vocal tract transfer function is used as a transformation parameter. Comparing with previous methods, the proposed method can obtain high-quality transformed speech with low computational complexity. Conversion between the vocal tract transfer functions is implemented by a linear mapping based on soft clustering. In this process, mean LPC cepstrum coefficients and mean removed LPC cepstrum modeled by the low dimensional vector are used as transformation parameters. To evaluate the performance of the proposed method, mapping rules are generated from 61 Korean words uttered by two male and one female speakers. These rules are then applied to 9 sentences uttered by the same persons, and objective evaluation and subjective listening tests for the transformed speech are performed.

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