• 한국전기전자재료학회논문지
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• 제18권5호
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• pp.484-489
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• 2005

Because of its effectiveness for the PD(Partial Discharge) pattern recognition, PSA(Pulse Sequence Analysis) has been considered as a new analytic method instead of conventional PRPDA(Phase Resolved Partial Discharge Analysis). However, it is generally thought that PSA has some possibility to misjudge patterns in case of data-missing resulting from poor sensitivity because it analyses the correlation between sequential pulses, which leads to hesitate to apply it to on-site. Therefore, in this paper, the problems of PSA such as data-missing and noise-adding cases were investigated. for the purpose, PD data obtained from various defects including noise-adding data were used and analyzed. As a result, it was shown that both cases could cause fatal errors in recognizing PD patterns. In case of the data missing, the error was dependant on the kinds of defect and the degree of degradation Also, it could be noticed that the error due to adding noises was larger than that due to some data missing.

• Journal of the Korean Data and Information Science Society
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• 제22권1호
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• pp.57-64
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• 2011

이 연구에서는 최근 체육영재선정에 공통적으로 사용되고 있는 스포츠영재성 검사 항목과 코스타스 점수간의 연관성 분석을 통해 상대적으로 중요한 검사 항목과 그렇지 않은 검사 항목을 통계적으로 밝혀내는 데 목적이 있다. 이 연구를 위해 2010년도 서울지역 (강동구, 송파구, 노원구, 광진구 등)과 경기지역 (의정부시, 가평군, 구리시 등) H대학 체육영재양성사업에 지원한 201명의 초등학교 학생들의 자료가 사용되었으며, 육상 네 종목 (투척, 도약, 단거리, 중장거리), 수영 및 체조 종목의 코스타스 점수와 1차 스포츠영재성 검사에서 얻은 기본 체격, 체력 운동능력, 생리적 기능 정보를 이용하였다. 구체적으로 순수한 연관성 분석을 위해 피어슨상관계수와 편상관계수를 사용하였으며, 중요한 검사 항목 선택을 위해 단계적 회귀분석을 이용하였다. 그 결과 골연령, 체중, 흉위와 50m달리기, 하프스쿼트점프가 6개 코스타스 점수에 미치는 영향이 상대적으로 미약한 것으로 나타났다.

• Clinical and Experimental Reproductive Medicine
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• 제50권3호
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• pp.206-212
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• 2023

Objective: The aim of the present study was to evaluate the associations between hematologic parameters related to systemic inflammation and insulin resistance-associated metabolic parameters in women with polycystic ovary syndrome (PCOS). Methods: Eighty-two women between the ages of 18 and 35 years who were diagnosed with PCOS were included in this study. A 2-hour 75-g oral glucose tolerance test (OGTT) was administered to all study participants; fasting and postprandial glucose and insulin levels were measured simultaneously during the 2-hour OGTT. Hematologic parameters were derived from a standard complete blood count and a differential count of fasting-state blood samples. The correlations between hematologic parameters and insulin resistance-associated clinical and metabolic parameters were evaluated using the Spearman rank correlation and partial correlation coefficients. Hematologic parameters related to systemic inflammation were compared between the two groups, categorized by the presence or absence of insulin resistance. Results: Significant differences in the absolute neutrophil count, absolute monocyte count, platelet count, and neutrophil-lymphocyte ratio were found between the insulin-resistant group and insulin-nonresistant group. Correlation analysis found that all hematological parameters, except for the platelet-lymphocyte ratio, were associated with at least one insulin resistance-associated metabolic parameter. However, these significant correlations between hematological and metabolic parameters were attenuated after controlling for the effects of other covariates using partial correlation analysis. Conclusion: The association between hematologic parameters indicative of systemic inflammation and insulin resistance-associated metabolic parameters seems to be strongly influenced by other anthropometric covariates in women with PCOS.

• 한국전자통신학회논문지
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• 제19권2호
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• pp.383-388
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• 2024

본 논문은 전라남도에서 측정한 태양광 발전 데이터를 기반으로 발전량 예측값을 도출하기 위한 연구이다. 발전량 측정을 위해 인버터에서 직류, 교류, 환경데이터와 같은 다변량 변수를 측정하였고, 측정값의 안정성과 신뢰성 확보를 위한 전처리 작업을 수행하였다. 상관관계 분석은 부분자기상관함수(PACF: Partial Autocorrelation Function)을 활용하여 시계열 데이터에서 발전량과 상관성이 높은 데이터만을 예측을 위해 사용하였다. 태양광 발전량 예측을 위해 딥러닝 모델을 이용하여 발전량을 측정했고, 예측 정확도를 높이기 위해 각 다변량 변수의 상관관계 분석 결과를 이용하였다. 정제된 데이터를 활용한 학습은 기존 데이터를 그대로 사용했을 때 보다 안정되었고, 상관관계 분석 결과를 반영하여 다변량 변수 중 상관성이 높은 변수만을 활용하여 태양광 발전량 예측 알고리즘을 개선하였다.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제47권6호
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• pp.445-453
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• 2021

Objectives: Periodontitis is the most common chronic disease that causes tooth loss and is related to systemic diseases such as cardiovascular disease and diabetes. An objective indicator of the current activity of periodontitis is necessary. Soluble forms of the receptor for advanced glycation end products (sRAGE) are markers that reflect the status of inflammatory diseases. In this study, the relationship between sRAGE and periodontitis was analyzed to determine whether it can be used to diagnose the current state of periodontitis. Patients and Methods: Eighty-four patients without any systemic diseases were diagnosed with periodontitis using three classifications of periodontitis. Demographics and oral examination data such as plaque index (PI), bleeding on probing (BOP) index, and probing pocket depth (PPD) were analyzed according to each classification. In addition, correlation and partial correlation between sRAGE and the values indicating periodontitis were analyzed. Results: In each classification, the level of sRAGE tended to decrease if periodontitis was present or severe, but this change was not statistically significant. sRAGE and periodontitis-related variables exhibited a weak correlation, among which the BOP index showed a relatively strong negative correlation (ρ=-0.20). Based on this, on analyzing the correlation between the BOP index and sRAGE in the group with more severe periodontitis (PPD≥5 mm group, severe group of AAP/CDC [American Academy of Periodontology/Centers for Disease Control and Prevention], periodontitis group of López), the correlation further increased (ρ=-0.23, -0.40, -0.50). Partial correlation analysis of the sRAGE and BOP index showed a stronger negative correlation (ρ=-0.36, -0.55, -0.45). Conclusion: sRAGE demonstrated a tendency to decrease upon increased severity of periodontitis according to the classifications used. Above all, the correlation with the BOP index, which reflects the current state of periodontitis, was higher in the group with severe periodontitis. This indicates that the current status of periodontitis can be diagnosed through sRAGE.

• 전기학회논문지
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• 제57권12호
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• pp.2300-2307
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• 2008

This study receives the noise transmitted in a constant audio frequency range through a microphone array in which the noise(like grease in a pan) occurs on the power supply line due to the troublesome partial discharge(arc). Then by going through a series of signal processing of removing noise, this study measures the distance and direction up to the noise caused by the troublesome partial discharge(arc) and monitors the result by displaying in the analog and digital method. After these, it determines the state of each size and judges the distance and direction of problematic part. When the signal sound transmitted by the signal source of bad insulator is received on each microphone, the signal comes only in the frequency range of 20 kHz by passing through the circuit of amplification and 6th low pass filter. Then, this signal is entered in a digital value of digital signal processing(TMS320F2812) through the 16-bit A/D conversion. By doing so, the sound distance, direction and coordinate of bad insulator can be detected by realizing the correlation method of detecting the arriving time difference occurring on each microphone and the algorithm of detecting maximum time difference.

• 대한화장품학회지
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• 제21권2호
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• pp.129-139
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• 1995

FT-IR의 정량 법 중 Partial least-squares(PLS) 방법과 Multiple scattering correction(MSC) 방법을 이용한 계면활성제 분석의 타당성을 조사하기 위하여 LAS, MES 그리고 ELA-9을 이들 방법으로 정량 하였다. 계면활성제 표준품을 각각 다른 비율로, 50% 에탄올에 가열 용해 시킨 다음, 건조 시켜 액막법으로 IR 스펙트럼을 측정하였다. 얻어진 스펙트럼으로부터 Variance(분산 ) 스펙트럼을 구하고 이를 참고하여 여러 파수 영역에서 반복하여 검량선을 작성하고 상관계수를 구하였다. 1245-1130 cm -1 의 범위와 1070-1010 cm -1 범위의 파수를 선정한 결과 상관계수의 값이 모두 1.000이었다. 또한 정량 결과, 오차가 0.32%이하로써 매우 만족할 만한 결과를 얻었다. 따라서 FT-IR을 이용한 정량 법에서 PLS 방법과 MSC 방법은 계면활성제 분석에 유효하며, 본 정량 방법이 매우 간단하므로 품질관리 목적의 분석에 적합하다는 결론에 도달하였다.

• 대한가정학회지
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• 제48권1호
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• pp.127-136
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• 2010

The purpose of this study was to investigate the relationships between the young children's creative trait and personality affecting their learning readiness. The participants were 131 young children in kindergartens or nursery schools and their mothers from Seoul, Gyeonggi and Chungnam province. The instruments were the Korea Learning Readiness Test, Young Children's Creative Traits Test, and Young Children's Personality Test. The data were analyzed by one-way ANOVA, t-test, Pearson's partial correlation, stepwise multiple regression, and Scheff$\'{e}$ test by SPSS PC(version17.0) program. The results were as follows. Firstly, there were no significant differences in young children's learning readiness, creative trait and personality by children's age, location, school type, father's age, mother's educational level and mother's job type, while there were significant differences in the creative trait and the subfactor scores of personality by children's sex, father's educational level and parents' job type. Secondly, there was a positive partial correlation(r = .20~.24) between young children's learning readiness and creative trait, while there were no correlations between their learning readiness and personality and between their personality and creative trait. Thirdly, cognitive factor of creative trait and father's educational level did not effectively explain the children's learning readiness.

• 통합자연과학논문집
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• 제7권1호
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• pp.45-49
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• 2014

The (c-Jun N-terminal kinase 3) JNK3 is a potential therapeutic target for various neurological disorders. Here, a three dimensional quantitative structure-activity relationship (3D-QSAR) study on phenoxypyridine as JNK3 inhibitors was performed to rationalize the structural requirements responsible for the inhibitory activity of these compounds. The comparative molecular field analysis (CoMFA) using different partial atomic charges, was employed to understand the structural factors affecting JNK3 inhibitory potency. The Gasteiger-Marsili yielded a CoMFA model with cross-validated correlation coefficient ($q^2$) of 0.54 and non-cross-validated correlation coefficient ($r^2$) of 0.93 with five components. Furthermore, contour maps suggested that bulky substitution with oxygen atom in $R^3$ position could enhance the activity considerably. The work suggests that further chemical modifications of the compounds could lead to enhanced activity and could assist in the design of novel JNK3 inhibitors.

• Bulletin of the Korean Chemical Society
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• 제32권5호
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• pp.1604-1612
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• 2011

We developed three-dimensional quantitative structure activity relationship (3D-QASR) models for 17 adamantyl derivatives as P-glycoprotein (P-gp) inhibitors. Eighteen different partial charge calculation methods were tested to check the feasibility of the 3D-QSAR models. Best predictive comparative molecular field analysis (CoMFA) model was obtained with the Austin Model 1-Bond Charge Correction (AM1-BCC) atomic charge. The 3D-QSAR models were derived with CoMFA and comparative molecular similarity indices analysis (CoMSIA). The final CoMFA model ($q^2$ = 0.764, $r^2$ = 0.988) was calculated with an AM1-BCC charge and electrostatic parameter, whereas the CoMSIA model ($q^2$ = 0.655, $r^2$ = 0.964) was derived with an AM1-BCC charge and combined steric, electrostatic, hydrophobic and HB-acceptor parameters. Leave-five-out (LFO) cross-validation was also performed, which yielded good correlation coefficient for both CoMFA (0.801) and CoMSIA (0.656) models. Robustness of the developed models was checked further with 1000 run bootstrapping analyses, which gave an acceptable correlation coefficient for CoMFA (BS-$r^2$ = 0.997, BS-SD = 0.003) and CoMSIA (BS-$r^2$ = 0.996, BS-SD = 0.018).