• 한국광학회지
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• 제5권1호
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• pp.138-143
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• 1994

거친 표면을 가진 물체의 미소변위를 1차원 CCD소자와 레이저 스펙클(laser speckle) 방법을 이용하여 측정하였다. 거친 표면에서 산란된 레이저 광이 이루는 스펙클 무늬를 물체의 이동 전후에 얻고, 그것의 상호상관함수(cross-correlation)를 계산하여 스펙클 변위를 계산한다. 1차원 CCD소자를 이용하여 물체이동 전후의 스펙클 무늬를 측정하고, 레이저 스펙클 변위값을 386 PC로 인터페이스하여 PC에서 계산한다. 사용한 CCD 소자의 화소 간격은 $15\mu\textrm{m}$이고, 화소의 개수는 1728개이다. 스펙클 변위와 물체의 이동거리와는 비는 레이저 빔의 파면의 곡률에따라 1.03으로부터 5.20까지 변화한다. CCD 픽셀의 간격이 $15\mu\textrm{m}$이므로 물체의 $3\mu\textrm{m}$ 이동을 감지해 낼 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.437-440
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• 2009

소프트웨어 구현을 위한 고속 스트림 암호 ASC16을 제안한다. ASC16은 ASR(Arithmetic Shift Register), NLF(Non-Linear Filter), NLB(Non-Linear Block)로 매우 간결한 구조를 이루고 있으며, 워드 단위로 연산을 수행하고, 비선형변환으로 S-박스를 사용하여 32비트 키 스트림을 만드는 무선 통신용 스트림 암호이다. Zhang, Carroll 그리고 Chan에 의해 개발된 32비트 출력 스트림 암호 SSC2와 수행 결과 비교에서 거의 동등한 결과를 보였고, 주기는 SSC2보다 더 길어 졌으며, 상관공격(Correlation attack)이 어려워 안전성은 더욱 향상 되었다. 제안한 ASC16은 무선통신 등과 같은 제한적인 환경에서 고속 암호 수행에 유용하게 사용될 수 있다.

• Animal Bioscience
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• 제37권4호
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• pp.622-630
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• 2024

Objective: Pig breeders cannot obtain phenotypic information at the time of selection for sow lifetime productivity (SLP). They would benefit from obtaining genetic information of candidate sows. Genomic data interpreted using deep learning (DL) techniques could contribute to the genetic improvement of SLP to maximize farm profitability because DL models capture nonlinear genetic effects such as dominance and epistasis more efficiently than conventional genomic prediction methods based on linear models. This study aimed to investigate the usefulness of DL for the genomic prediction of two SLP-related traits; lifetime number of litters (LNL) and lifetime pig production (LPP). Methods: Two bivariate DL models, convolutional neural network (CNN) and local convolutional neural network (LCNN), were compared with conventional bivariate linear models (i.e., genomic best linear unbiased prediction, Bayesian ridge regression, Bayes A, and Bayes B). Phenotype and pedigree data were collected from 40,011 sows that had husbandry records. Among these, 3,652 pigs were genotyped using the PorcineSNP60K BeadChip. Results: The best predictive correlation for LNL was obtained with CNN (0.28), followed by LCNN (0.26) and conventional linear models (approximately 0.21). For LPP, the best predictive correlation was also obtained with CNN (0.29), followed by LCNN (0.27) and conventional linear models (approximately 0.25). A similar trend was observed with the mean squared error of prediction for the SLP traits. Conclusion: This study provides an example of a CNN that can outperform against the linear model-based genomic prediction approaches when the nonlinear interaction components are important because LNL and LPP exhibited strong epistatic interaction components. Additionally, our results suggest that applying bivariate DL models could also contribute to the prediction accuracy by utilizing the genetic correlation between LNL and LPP.

• 보존과학회지
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• 제34권4호
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• pp.283-293
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• 2018

This study involved a comparative analysis of the correlation between meteorological elements and the concentration of airborne fungi(CFU) in relation to biological damage to two temples on piedmonts, which is a cultural heritage building. The work compared Beopjusa temple in Boeun(Chungcheongbuk-do Province) and Seonamsa temple in Suncheon(Jeollanam-do Province). Twelve meteorological elements and the CFU were measured and the Pearson correlation analysis was used to determine the degree of the relationship between them. The results showed that Beopjusa temple had high wind speed, high total horizontal radiation, high evaporation, and large number of days with precipitation. Seonamsa temple had high air temperature, high relative humidity, high dew point temperature, high sea level pressure, high precipitation, and high CFU. The CFU at Beopjusa temple did not have a linear correlation with meteorological elements, but at Seonamsa temple it was highly positive correlated with the number of days with precipitation, relative humidity, and precipitation, and was highly negative correlated with total horizontal radiation. In addition, Beopju and Seonamsa temple had a common linear relationship between factors not affected by the topographical conditions, and had a individual linear correlation between factors affected by the topographical conditions.

• 한국통신학회논문지
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• 제17권9호
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• pp.972-981
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• 1992

본 논문에서는 전력선 채널에서 DS/SSMA BPSK 통신 시스템의 전형 및 하드리미팅 상관 수신기의 성능을 분석하였다. Chan의 잡음 모델을 이용하여 전력전에서 발생하는 강한 임펄스성 잡음을 배경 잡음에 대한 임펄스성 잡음의 전력 스펙트럼 밀도비 $(N_1/N_b)$, 데이터 폭에 대한 임펄스성 잡음 폭의 비(f). 임펄스성 잡음의 발생주기에 대한 임펄스 잡음 폭 (DF)등의 파라미터로 모델링하여, 각 파라미터 변화에 따른 시스템의 성능을 분석하고, 다중접속 간섭 잡음을 가우시안 근사화하여 각 수신기의 다중접속 능력을 평가하였다. 분석 결과 $N_1/N_b$가 작고 f가 1에 가까운 경우 전형 상관 수신기의 성능이 더 우수했으나, $N_1/N_b$가 증가함에 따라 하드리미팅 상관 수신기가 비트 오율 및 다중 접속 능력면에서 전형 상관 수신기보다 더 우수한 성능을 나타냈다.

• 동의신경정신과학회지
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• 제31권1호
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• pp.1-12
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• 2020

Objectives: The purpose of this study was to evaluate the reliability and validity of the instrument on pattern identification for insomnia (PIT-Insomnia) and verify the correlation between PIT-Insomnia and psychological tests. Methods: Two evaluators examined the pattern identification of the participants who met insomnia disorder diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorder, Fifth Edition (DSM-5) and took the Insomnia Severity Index (ISI) score over 15 once manually and twice using the PIT-Insomnia to measure the inter-rater and test-retest reliability. We also conducted the following surveys: the Pittsburgh Sleep Quality Index (PSQI), the Korean version of Beck's depression inventory (K-BDI), the Korean version of the State-Trait Anxiety Inventory (STAI-K), the Korean Symptom checklist-95 (KSCL-95), and the EuroQol-5 dimension (EQ-5D), to measure concurrent validity and correlation between the PTI-Insomnia and psychological tests. Results: 1. The test-retest reliability analysis of the pattern identification results showed moderate agreement, and test-retest reliability analysis of each pattern identification score showed agreements from poor to moderate. 2. The inter-rater reliability analysis of the pattern identification results via manual showed slight agreement, when analysis was performed with calibration, the inter-rater reliability analysis of the pattern identification results via manual showed fair agreement. 3. The concordance analysis between results via manual and the PIT-Insomnia showed poor agreement, when the analysis was performed with calibration, concordance analysis showed fair agreement. 4. The concordance analysis between the PIT-Insomnia and the PSQI showed positive linear correlation. 5. The concordance analysis between the PIT-Insomnia and the PSQI, K-BDI, STAI-K, KSCL-95, and EQ-5D showed that non-interaction between the heart and kidney have positive linear correlation with the K-BDI, anxiety item of KSCL-95, dual deficiency of the heart-spleen have positive linear correlation with somatization item of KSCL-95, paranoia item of KSCL-95, heart deficiency with timidity have positive linear correlation with stress vulnerability item of KSCL-95, parania item of KSCL-95, phlegm-fire harassing the heart have positive linear correlation with K-BDI, paranoia item of KSCL-95, depressed liver qi transforming into fire have positive linear correlation with the anxiety item of KSCL-95, parania item of KSCL-95, all pattern identification have negative linear correlation with EQ-5D. Conclusions: The PIT-Insomnia has moderate agreement of reliability and reflects the severity of insomnia since it has some concurrent validity with the PSQI. There are some correlations between the PTI-Insomnia with specific psychological tests, so we could suggest it can be used appropriately in the clinical situation.

• Communications for Statistical Applications and Methods
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• 제13권2호
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• pp.219-231
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• 2006

When the correlation of two random variables is weak, the value of one variable can not be used effectively to predict the other. Even when most of the values are overlapped, it is difficult to find a linear relationship. In this paper, we propose two graphical methods of representing the measures of correlation and independence between two random variables. The first method is used to represent their degree of correlation, and the other is used to represent their independence. Both of these methods are based on the cumulative distribution functions defined in this work.

• 한국음향학회지
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• 제27권6호
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• pp.309-318
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• 2008

본 논문에서는 입력신호를 하위대역 (low-band)과 상위대역 (high-band)으로 나누어 각 대역을 개별적으로 부호화하는 대역분할 부호화 (split-band coding) 방식에 있어서, 상인대역 신호를 효율적으로 부호화하는 방법에 대해 다룬다. 일반적으로 그리고 특히, 그 동안 대역폭 확장법 (Bandwidth Extension, BWE)에 관한 연구를 통하여 두 대역 사이에 일정 정도의 상관관계가 존재한다는 사실이 밝혀져 있다. 따라서 두 대역간에 예측 부호화 기법을 도입함으로써 부호화 효율을 향상시킬 수 있다. BWE 예측기반 부호화 기법과 관련하여, 단순히 선형 BWE 함수를 이용하는 것은 두 대역간의 관계가 비선형성을 가지고 있으므로 최적의 결과를 얹기 어렵다. 따라서 비선형 BWE 함수를 포함한 다양한 예측 함수들의 성능비교를 통하여 가장 적절한 예측기를 선택하고자 하는 노력이 필요하다. 본 논문에서는 몇몇 대표적인 BWE 함수를 이용한 주파수 대역간 예측 부호화 방법에 대해 살펴 보고 각각의 성능을 평가한다. 또한 BWE 예측기반 부호화기를 (주파수)공간상의 중복제거 기술로 볼 때, 시간적 중복 제거 기술 즉, 예측 벡터 양자화기 (predictive vector quantizer)와의 결합이 부호화 효율향상에 상승효과가 있는지에 대해서도 검토한다.

• Journal of applied mathematics & informatics
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• 제9권2호
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• pp.807-815
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• 2002

We consider a more general linear regression super-population model than the one of Chaudhuri and Stronger(1992) . We can find the same type of the best linear unbiased(BLU) predictor as that of Chaudhuri and Stenger and see that the optimal design is again a purposive one which prescribes choosing one of the samples of size n which has $\chi$ closest to $\bar{X}$.

• Journal of the Korean Statistical Society
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• 제29권2호
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• pp.231-245
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• 2000

This paper considers a linear regression model with space and time data in where the disturbances follow spatially correlated error components. We provide the best linear unbiased predictor for the one way error components. We provide the best linear unbiased predictor for the one way error component model with spatial autocorrelation. Further, we derive two diagnostic test statistics for the assessment of model specification due to spatial dependence and random effects as an application of the Lagrange Multiplier principle.