• Journal of Sericultural and Entomological Science
• /
• v.31 no.2
• /
• pp.91-101
• /
• 1989

This experiment was carried out to analyze genetic parameters for the selection of silkworm by diallel-crossing with three Japanese and four Chiness silkworm races. Heritability, genetic correlation and path coefficient were calculated as the statistical parameters to evaluate direct or indirect effects of various gentic characters on bave weight. The heritabilities of fifth instar period, cocoon weight, cocoon layer weight, cocoon layer ration, fibroin contents, boiling off ratio and bave weight were over 76.65% in both F1 and F2 generations. There were positive coefficients in both phenotypic and genotypic correlations between male and female of both F1 and F2 generations. The latter showed greater values in general. The correlation between bave weight and the characters of cocoon weight, cocoon layer weight, cocoon layer ratio, fibroin contents were over 0.727 in both sexes of F1 and F2. Therefore, these results suggest that above characters would be useful for genetic selection of silkworms. As result of path coefficient analysis, there was a direct effect with path coefficient value of 0.991 between bave weight and F1 female cocoon layer weight, and with the value of 0.803 between bave weight and F1 male cocoon weight. In F2 the effect showed 0.938 between bave weight and male cocoon weight and cocoon layer weight had greater influence on direct or indirect effects (in path coefficient) than the others.

• Proceedings of the Korean Aquaculture Society Conference
• /
• 2003.10a
• /
• pp.151-152
• /
• 2003

물리ㆍ화학적 및 효소적 방법을 이용한 근육의 품질판정 지표로써 수분함량, 지질함량 그리고 콜라겐 함량등을 살펴보았으며, AEC 수치로써 건강도를 측정하고자 하였다. 즉, 이런 지표들을 이용하여 양식산 활어의 품질에 가장 큰 요인으로 작용하는 파괴강도와의 상관관계를 살펴보고자 하였다. 지금까지 조사된 양식산 활어성분 중 파괴강도가 어떠한 독립변수들에 의하여 크게 영향을 받으며, 파괴강도와 독립변수와의 관계식은 무엇인가를 규명하기 위하여 회귀분석을 실시하였다 여기서 독립변수로 사용된 것은 아래와 같다. X$_1$ : 수분함량(moisture content) X$_2$ : 지질함량(lipid content) X$_3$ : 콜라겐 함량(collagen content) 각 성분간의 상관관계를 피어슨 상관계수로 나타낸 것으로, 파괴강도와 수분 함량, 지질함량사이에는 상관성이 있으나(r=0.66, r=-0.69: p<0.05), 콜라겐의 함량과는 상관성을 가지지 못하였다. 또한, 콜라겐과 수분함량(r=0.19), 콜라겐과 지질함량(r=-0.29)로 각 성분간의 상관성이 존재하지 않았다. 그러므로, 파괴 강도값은 지질과 수분함량간의 상관관계가 형성된다. 즉, 수분함량이 크고 지질함량이 작아지면 파괴강도간은 커진다는 결론이다. 이 결과를 이용하여 파괴감도, 수분함량 그리고 지질함량간의 회귀분석을 실시한 결과 다음과 같다. Y = 0.74481 ＋ 0.01323 X$_1$- 0.05821 X$_2$ 이 회귀식을 이용하여, 참돔의 수분함량과 지질함량을 측정함으로써 참돔의 품질을 결정할수 있는 파괴강도값이 계산으로 얻어진다. 또한 효소적방법으로써 품질지표인 AEC수치를 측정함으로써 건강도를 판정할 수 있다. 그러므로, 파괴강도값을 이용하여 품질의 등급을 선정하며, AEC수치를 건강도의 등급을 선정하여야 된다. 파괴강도값에 의한 등급은 1.4kg이상은 상급, 1.2~l.4kg은 중급, 1.2kg이하를 하급으로 선정하며, AEC수치는 1.0~0.9는 상급, 0.9~0.8는 중급, 0.8이하를 하급으로 선정하여 등급화를 분류할 수 있을 것으로 판단된다.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.18 no.36
• /
• pp.243-251
• /
• 1995

본 연구에서는 자동상관인 공정의 변화를 빠르게 탐지할 수 있는 Special-Cause CUSUM 관리도를 사용하여 다섯가지 시계열 모델에 대해 다음과 같은 연구를 수행한다. 첫째 ACF와 PACF로 파라미터에 따른 ARL의 변화를 쉽게 해석할 수 있는 방법과 둘째로 독립인 관측값에 적용하는 Hawkins(1992)의 ARL 간략계산법을 자동상관인 공정에서도 사용할 수 있는 기법을 제시하여 기존의 시뮬레이션을 이용한 ARL 계산법에 비해 빠르고도 정확한 값을 구한다. 끝으로 두가지 유형의 평균이동에 대한 ARL 변화를 각각 계산해 보아 그 효과를 비교분석 한다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.18 no.12
• /
• pp.1797-1805
• /
• 1993

An algorithm for the threshold decision from the maximum mismatching correlation value in a direct-sequence spread-spectrum system is presented. This algorithm is named the TDMMC(Threshold Decision from the Maximum Mismatching Correlation value). The purpose of the algorithm is to set the decision threshold in the system which will provide large probability of signal detection. Using this algorithm, the proper setting of the threshold for various SNRs is possible. An additional block called the Threshold Block is used to improve the system performance. The result from the computer simmulation has shown that appling the TDMMC to the noncoherent DS/SS-CSK system can achieve performance improvement.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.9
• /
• pp.3-10
• /
• 2014

The synchronization signal in Long Term Evolution (LTE) systems contains the primary synchronization signal (PSS) and the secondary synchronization signal (SSS), and the overall synchronization performance is dominated by PSS detection. In this paper, we propose a PSS detection scheme employing three partial correlation based PSS detectors with different partial correlation lengths, in which calculated partial correlation values are reused in order to reduce computational complexity. A coherent selection scheme using tentative frequency offsets is also proposed to select one reliable result from outputs of partial correlation based PSS detectors. It is shown through computer simulation that the proposed scheme can have a robust detection performance in wide range of frequency offsets.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.293-296
• /
• 2016

Speech Signals consist of signals of consonants and vowels, but the lasting time of vowels is much longer than that of consonants. It can be assumed that the correlations between signal blocks in speech signal is very high. But the correlations between signal blocks in various frequency bands can be quite different. Each speech signal is divided into blocks which have 128 speech data. FFT is applied to each block. Various frequency areas of the results of FFT are taken and Covariance matrix between blocks in a speech signal is extracted and finally eigenvalues of those matrix are obtained. It is studied that in the eigenvalues of various frequency bands which band can be used to get more reliable result.

• Journal of Astronomy and Space Sciences
• /
• v.25 no.4
• /
• pp.383-394
• /
• 2008

We examine geoeffective directional parameters of coronal mass ejections (CMEs). We select 30 front-side halo CMEs from SOHO LASCO CMEs whose speed is larger than 1000km/s and longitude is less than ${\pm}30^{\circ}$. These are thought to be the most plausible candidate of geoeffective CMEs. We examine the relation between CMEs directional parameters (Earthward direction, eccentricity, ${\Delta}$ distance and central angle parameter) and the minimum value of the Dst index. We have found that the Earthward direction parameter has a good correlation with the Dst index, the eccentricity parameter has a much better correlation with the Dst index. The bo distance and central angle parameter has a poor correlation with the Dst index. It's, however, well correlated with the Dst index in very strong geomagnetic storms. Most of CMEs causing very strong storms (Dst ${\leq}$-200nT) are found to have large Earthward direction parameter $({\geq}0.6)$, small eccentricity, bo distance and central angle parameters $(E{\leq}0.4,\;{\Delta}X\;and\;sin\;{\theta}{\leq}0.2)$. These directional parameters are very important parameters that control the geoeffectiveness of very fast front-side halo CMEs.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.7C
• /
• pp.475-480
• /
• 2011

Ultra-wideband (UWB) signal energy spreads over multiple correlator outputs due to rich multipaths, making the output of each correlator have only a small portion of the total energy. Thus, in the proposed two-stage UWB signal detection scheme for cognitive radio communication systems, the decision variable is formed by combining multiple correlator outputs, making it possible to collect the signal energy spread by the multipaths, Simulation results show that the proposed scheme can provide a gain of about 0.6 dB over the conventional schemes in various UWB channel environments.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.10C
• /
• pp.1032-1041
• /
• 2007

The global navigation satellite system (GNSS), which is the core technique for the location based service, adopts the direct sequence/spread spectrum (DS/SS) as its modulation method. The success of a DS/SS system depends on the synchronization between the received and locally generated pseudo noise (PN) signals. As a step in the synchronization process, the tacking scheme performs fine adjustment to bring the phase difference between the two PN signals to zero. The most widely used tracking scheme is the delay locked loop with early minus late discriminator (EL-DLL). In the ideal case, the EL-DLL is the best estimator among various DLL. However, in the band-limited multipath environment, the EL-DLL has tracking bias. In this paper, the timing offset range of correlation function is divided into advanced offset range (AOR) and delayed offset range (DOR) centering around the correct synchronization time point. The tracking bias results from the following two reasons: symmetry distortion between correlation values in AOR and DOR, and mismatch between the time point corresponding to the maximum correlation value and the synchronization time point. The former and latter are named as the type I and type II tracking bias, respectively. In this paper, when the receiver has finite bandwidth in the presence of multipath signals, it is shown that the type II tracking bias becomes a more dominant error factor than the type I tracking bias, and the correlation values in AOR are not almost changed. Exploiting these characteristics, we propose a novel tracking bias mitigation scheme and demonstrate that the tracking accuracy of the proposed scheme is higher than that of the conventional scheme, both in the presence and absence of noise.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.3B
• /
• pp.259-267
• /
• 2009

Generalized Extreme Value (GEV) distribution is recommended for flood frequency and extreme rainfall distribution in many country. L-moment method is the most common estimation procedure for the GEV distribution. In this study, the relationships between the cross-site correlations between extreme events and the cross-correlation of estimators of L-moment ratios (L-moment Coefficient of Variation (L-CV) and L-moment Coefficient of Skewness (L-CS)) for data generated from GEV distribution were derived by Monte Carlo simulation. Those relationships were fit to the simple power function. In this Monte Carlo simulation, GEV+ distribution were employed wherein unrealistic negative values were excluded. The simple power models provide accurate description of the relationships between cross-correlation of data and cross-correlation of L-moment ratios. Estimated parameters and accuracies of the power functions were reported for different GEV distribution parameters combinations. Moreover, this study provided a description about regional regression approach using Generalized Least Square (GLS) regression method which require the cross-site correlation among L-moment estimators. The relationships derived in this study allow regional GLS regression analyses of both L-CV and L-CS estimators that correctly incorporate the cross-correlation among GEV L-moment estimators.