• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.711-714
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• 2008

The objective of this study is to analyze the relationship between the watershed characteristics and the critical duration of design rainfall. For estimation of critical duration, adjustment Huff's method and ILLUDAS urban runoff model were applied to urban 21 areas. Watershed characteristics such as area, channel length, channel slope, shape factor, and pipe density were used to simulate correlation analysis. The conclusions of this study are as follows; it is revealed that critical duration is influenced by the watershed characteristics such as pipe density, area and channel length. Also, multiple regression analysis using watershed characteristics is carried out and the determination coefficient of multiple regression equation shows 0.972.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2815-2817
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• 2001

This study describes the emotion classification using two different feature extraction methods for four-channel EEG signals. One of the methods is linear prediction analysis based on AR model. Another method is cross-correlation coefficients on frequencies of ${\theta}$, ${\alpha}$, ${\beta}$ bands. Using the linear predictor coefficients and the cross-correlation coefficients of frequencies, the emotion classification test for four emotions, such as anger, sad, joy, and relaxation is performed with a neural network. Comparing the results of two methods, it seems that the linear predictor coefficients produce the better results than the cross-correlation coefficients of frequencies for-emotion classification.

• 환경위생공학
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• 제23권2호
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• pp.19-25
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• 2008

For measurement of tylosin, ammonia nitrogen, and glucose concentration during the culture of Streptomyces fradiae using Near Infrared Spectroscopy, the calibration using various mathematical models was performed and then, based on the linear model, the validation was carried out. In the case of sucrose concentration using the MLR method, the Standard Error of Prediction and Multiple correlation coefficient were 1.97, and 0.991, respectively. In the case of ammonia nitrogen concentration using the PLSR method, the Standard Error of Prediction and Multiple correlation coefficient were 0.13, and 0.990, respectively. In the case of tylosin concentration using the PLSR method, the standard Error of Prediction and Multiple correlation coefficient were 0.54, and 0.984, respectively.

• 한국구조물진단유지관리공학회 논문집
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• 제3권2호
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• pp.177-183
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• 1999

The major object of this study is to investigate experimentally the experimental equation by the non-destructive testing methods of ultrasonic pulse velocity, rebound number, combined method of ultrasonic pulse velocity and rebound number, maturity which are applicable to the evaluation of compressive strength of concrete at early ages. Also test result of mix are statistically analyzed to infer the correlation coefficient between the maturity and the compressive strength of concrete. The results show good application of Logistic curve for estimating strength development under various curing temperature. The relation between ultrasonic pulse velocity, rebound number, combined method of ultrasonic pulse velocity and rebound number and compressive strength of concrete have low correlation coefficient, but maturity method show good correlation coefficient.

• Bulletin of the Korean Chemical Society
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• 제18권5호
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• pp.478-484
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• 1997

In a recent paper[Bull. Kor. Chem. Soc. 17, 735 (1996)] we reported results of molecular dynamic (MD) simulations for the thermodynamic and structural properties of liquid n-alkanes, from n-butane to n-heptadecane, using three different models. Two of the three classes of models are collapsed atomic models while the third class is an atomistically detailed model. In the present paper we present results of MD simulations for the dynamic properties of liquid n-alkanes using the same models. The agreement of two self-diffusion coefficients of liquid n-alkanes calculated from the mean square displacements (MSD) via the Einstein equation and the velocity auto-correlation (VAC) functions via the Green-Kubo relation is excellent. The viscosities of n-butane to n-nonane calculated from the stress auto-correlation (SAC) functions and the thermal conductivities of n-pentane to n-decane calculated from the heat-flux auto-correlation (HFAC) functions via the Green-Kubo relations are smaller than the experimental values by approximately a factor of 2 and 4, respectively.

• Advances in aircraft and spacecraft science
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• 제6권1호
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• pp.69-86
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• 2019

This paper discusses the use of the Digital Image Correlation (DIC) technique for the displacement and strain measurements of a wet lay-up composite wing. As opposed to classical strain gages, DIC allows to conduct full field strain analysis of simple to complex structural parts. In this work, wing-up bending tests and measurements of the composite wing of the Dardo Aspect by CFM Air are carried out through an ad-hoc test rig and the Q-400 DIC system by Dantec Dynamics. Also, the results are used to validate a finite element model of the structure under investigation.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.160-167
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• 2022

In this study, an attempt was made to provide basic data for the development of programs that can improve safety care practices in the future by identifying factors that influence childcare teachers' safety care practices. 134 childcare teachers participated, and the survey results were analyzed using SPSS WIN 21.0 statistical program. As a result of this study, there was a significant positive correlation between safety knowledge and attitude. There was no significant correlation with knowledge and safety care practices. It was found that safety attitude had a significant positive correlation with safety care practice.. The factor influencing safety care practice was attitude toward safety, and the explanatory power of the model was 46.1%. In order to improve the level of safety care practices of childcare teachers, a program that can be practically utilized through customized education tailored to the needs of childcare teachers and each field rather than simply imparting knowledge is absolutely essential.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.694-696
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• 2022

본 연구에서는 KIA의 K3 중고차 가격을 예측하기 위해 2013년부터 2021년까지 K Car 사이트에 등록된 자동차의 데이터를 사용하였으며, 상관분석에서 사용할 변수는 연식, 사고유무, 주행거리, 연료, 배기량을 사용하였다. 이 데이터를 토대로 상관관계를 분석하기 위해 Google Colab 플랫폼을 사용하였으며, 분석을 통해 중고차 가격에 대해 상관관계의 여부를 알 수 있었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2021년도 추계학술대회
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• pp.176-179
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• 2021

현재 음성인식 기술은 인공지능 비서, 전화자동응답, 네비게이션 등 다양한 분야에서 사용되고 있으며 인간의 음성을 디바이스에 전달하기 위해 음성 신호를 텍스트로 변환하는 Speech-To-Text (STT) 기술을 필요로 한다. 초기의 STT 기술의 대부분은 확률 통계 방식인 Hidden Markov Model (HMM)기반으로 이루졌으며, 딥러닝 기술의 발전으로 HMM과 함께 Recurrent Nural Network (RNN), Deep Nural Network (DNN) 기법을 사용함으로써 과거보다 단어 인식 오류를 개선하며 20%의 성능 향상을 이루어냈다. 그러나 다수의 화자 혹은 생활소음, 노래 등 소음이 있는 주변 환경의 간섭 신호 영향을 받으면 인식 정확도에 차이가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위하여 음성 신호를 추출하여 주파수성분을 분석하고 오디오 신호 사이의 주파수 영역 correlation 연산을 통해 음성 신호와 노이즈 신호를 구분하는 것으로 STT 인식률을 높이고, 목소리 신호를 더욱 효율적으로 STT 기술에 입력하기 위한 방안을 제안한다.

• Journal of Animal Science and Technology
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• 제55권5호
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• pp.359-365
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• 2013

단형질 개체모형을 이용한 육종가 추정프로그램의 해를 구하는 컴퓨터 프로그램을 포트란 언어를 이용하여 자체개발하였고, 프로그램은 자료기반으로 반복적으로 계산을 해 나가는 간접법을 이용한 것으로 일반적인 알고리즘으로 프로그램을 개발하고 이의 효율을 개선한 개선알고리즘으로 프로그램을 개발하여, 두 프로그램 간 효율을 비교하였다. 기존의 전통적인 알고리즘은 순차적인 반복문을 이용하여 자료를 읽고 기록하는 방법이며, 새로운 알고리즘은 효과별로 LHS를 직접 작성하여 추정하는 방법을 사용하였다. 개발된 두 가지 프로그램으로 육종가를 추정하고, 그 추정 값이 정확하게 평가되었는지 알아보기 위하여 기존에 개발되어 사용되고 있는 BLUPF90 (Misztal, 2007)과 MTDFREML (Boldman 등, 1999)과 비교하여 보았다. 서로 다른 프로그램으로 추정된 육종가간의 상관은 전체 항목에서 99% 이상 고도의 상관이 나타났으며, 프로그램 추정치 간의 높은 상관으로 볼 때 Model I, Model II는 정확하게 개발되었고 평가된 것을 확인할 수 있었다. Solution이 수렴 될 때까지의 반복횟수는 Model I은 2,568 round, Model II는 1,038 round로 수렴되어 Model II가 Model I보다 작은 반복횟수에서 수렴이 된 것을 확인할 수 있었으며, 수렴속도는 Model I은 256.008초, Model II는 235.729초로 Model II가 Model I 보다 약 10% 정도 개선된 것을 확인할 수 있었다. 개발된 프로그램을 기존 D/B와 연계한다면 농가 및 지자체 등에 지속적인 개량 정보를 제공할 수 있으며, 농가 단위 암소 유전능력평가로 암소개량을 도모할 수 있을 것이라 사료된다.