• 한국통신학회논문지
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• 제36권6C호
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• pp.384-390
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• 2011

The paper derives formulas for the mean-squared error distortion and resulting signal-to-noise (SNR) ratio of a fixed-rate scalar quantizer designed optimally in the minimum mean-squared error sense for a Gaussian density with the standard deviation ${\sigma}_q$ when it is mismatched to a Laplacian density with the standard deviation ${\sigma}_q$. The SNR formulas, based on the key parameter and Bennett's integral, are found accurate for a wide range of $p\({\equiv}\frac{\sigma_p}{\sigma_q}\){\geqq}0.25$. Also an upper bound to the SNR is derived, which becomes tighter with increasing rate R and indicates that the SNR behaves asymptotically as $\frac{20\sqrt{3{\ln}2}}{{\rho}{\ln}10}\;{\sqrt{R}}$ dB.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.206-211
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• 2024

This study used a total of 205,565 datasets of 'voltage', 'current', '℃', and 'time(s)' to systematically analyze the properties and performance of solid electrolytes. As a method for characterizing solid electrolytes, a linear regression model, one of the machine learning models, is used to visualize the relationship between 'voltage' and 'current' and calculate the regression coefficient, mean squared error (MSE), and coefficient of determination (R^2). The regression coefficient between 'Voltage' and 'Current' in the results of the linear regression model is about 1.89, indicating that 'Voltage' has a positive effect on 'Current', and it is expected that the current will increase by about 1.89 times as the voltage increases. MSE found that the mean squared error between the model's predicted and actual values was about 0.3, with smaller values closer to the model's predictions to the actual values. The coefficient of determination (R^2) is about 0.25, which can be interpreted as explaining 25% of the data.

• 한국운동역학회지
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• 제26권1호
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• pp.1-9
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• 2016

Objective: The aim of this study is to investigate the association between dance experience and smoothness of hand trajectory during dance by using three jerk-based quantitative methods (integrated squared jerk, mean squared jerk, and dimensionless jerk). Methods: Eleven Korean traditional dancers whose experience of dancing ranged from 5 years to 20 years participated in this study. Dancers performed the Taeguksun motion in Korea traditional dance. Six infrared cameras were used to capture the movement of the hands of the dancers. The smoothness of hand movement was calculated using three jerk-based methods. Results: With regard to the smoothness of the right hand, dance experience was significantly correlated with dimensionless jerk (r=0.656, p=0.028), while dance experience was not significantly correlated with integrated squared jerk (r=0.581, p=0.552) and mean squared jerk. With regard to the smoothness of the left hand, there was no correlation between dance experience and any of the three jerk values. Conclusion: Our results showed that individuals with more dance experience performed the task more smoothly. This study suggests that dimensionless jerk should be used as a predictor for smoothness in dance movement. Thus, our results support the idea that smoothness is an aspect of movement quantity distinct from speed and distance.

• 대한통합의학회지
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• 제5권3호
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• pp.91-99
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• 2017

Purpose: The purpose of this study was to examine the relationship among self-efficacy, career attitude maturity, and campus life satisfaction in nursing college students. Method: A total of 277 students agreed to participate in this study from 1 May 2016 to 31 May 2016. Data analysis included t-test, ANOVA, Scheffe's test, and multiple regression using the SPSS/WIN 18.0 program. Results: The results of the analysis revealed a positive correlation between campus life satisfaction and career attitude maturity (r=.316, p=.001); between campus life satisfaction and self-efficacy (r=.256, p=.001); and between self-efficacy and career attitude maturity (r=.469, p=.001). Career attitude maturity had the highest R-squared value of 10% (${\beta}=.22$) for campus life satisfaction, while peer relationships had an R-squared value of 2% (${\beta}=-.18$), residence type of 2% (${\beta}=.14$), and self-efficacy of 1% (${\beta}=.14$), for a total R-squared value of 15%. Discussion: Given these results, individual counseling is recommended to improve campus life satisfaction by helping college students to acquire the skills to foster good interpersonal relationships, self-efficacy, and a positive view of their future vocation. Furthermore, it is essential for an educational environment to support students to ensure that after graduation they become fully-fledged members of society with a sense of pride in their profession.

• 대한한의진단학회지
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• 제12권1호
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• pp.42-62
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• 2008

연구배경과 목적: 지첨용적맥파는 광학기술을 이용하여 손가락 끝에서 혈액용적의 변화를 측정하여 맥파를 검출하는 기술로서, 지첨용적맥파에 대한 시간영역 파형분석을 통해 혈관의 노화정도를 파악할 수 있음은 이미 잘 알려진 사실이다. 이에 본 연구자는 시간영역 파형분석을 통해 혈관노화지표를 얻을 수 있다면, 주파수영역분석법을 통해서도 혈관노화지표를 얻을 수 있을 것으로 가정하였다. 본 연구에서는 주파수영역에서 혈관노화지표를 찾기 위해 건강한 성인들을 대상으로 지첨용적맥파를 측정하고 주파수영역에서 분석하여 고조파가 혈관노화 지표로서 활용될 수 있는가 여부를 결정하고자 한다. 연구방법: 건강인 390명(남자 174명과 여자 216명)을 대상으로 안정 후 앙와위에서 30초 동안 지첨용적맥파를 검출하였다. 검출한 맥파신호에서 기저선이 비교적 안정된 5-6개의 맥파주기를 선택하여 시간영역 파형분석을 통해 얻어지는 혈관노화지표인 승각시간, 경화지수, 반사지수, 가속도맥파를 구하였다. 주파수영역분석을 위해서는 빠른 퓨리에변환(FFT)를 실시하여 고조파 성분을 추출하였다. 특정점 검출을 위해서는 AcqKnowledge software의 peak detector 기능을 이용하였다. 연구결과: 표준화된 고조파 파워는 연령증가에 따라 유의하게 감소하였다; nPWR2 (r=-0.286, p<0.0001), nPWR3 (r=-0.482, p<0.0001), nPWR4 (r=-0.564, p<0.0001), nPWRS (r=-0.467, p<0.0001) 및 nPWR6 (r=-0.263, p<0.0001). 표준화된 고조파 파워의 logarithmic scale에서 연령증가에 따라 보다 강한 선형적인 감소가 나타났다; Ln(nPWR2) (r=-0.281, p<0.0001), Ln(nPWR3) (r=-0.492, P<0.0001), Ln(nPWR4) (r=-0.621, P<0.0001), Ln(nPWRS) (r=-0.487, P<0.0001) 및 Ln(nPWR6) (r=-0.273, P<0.0001). 승각시간, 반사지수, 경화지수를 독립변수로 한 중회귀분석에서 Ln(nPWR2) (R-squared=0.451), Ln(nPWR3) (R-squared=0.471) 및 Ln(nPWR4) (R-squared=0.432)는 비교적 잘 설명되었으나, Ln(nPWRS) (R-squared=0.232) 및 Ln(nPWR6) (R-squared=0.183)는 비교적 잘 설명되지 않았다. 결론: 건강인의 지첨용적맥파에서 기준 주파수로 표준화한 고조파 파워는 연령증가에 따라 감소였으며, 주파수영역분석이 가지는 특성을 고려해 볼 때 표준화된 고조파 파워는 기존의 시간영역 파형분석을 통해 얻어지는 혈관노화지표에 비해 잡음에 의한 오차가 보다 적을 것으로 기대된다. 따라서 우리는 표준화된 고조파 파워가 간편하고 용이하게 혈관노화를 반영하는 새로운 지표로서 활용될 수 있을 것으로 생각된다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권9호
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• pp.4323-4326
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• 2016

Background: The cancer mortality-to-incidence ratio (MIR) has been established as an important measure of health disparities in local and global circumstances. Past work has corroborated a linkage between the colorectal cancer MIR and the World Health Organization (WHO) Health System ranking. The literature further documents many Asian countries having incomplete cancer registries and a lack of comprehensive colorectal cancer screening guidelines. Materials and Methods: The colorectal cancer MIR values for 23 Asian countries were calculated from data obtained from the 2012 GLOBOCAN database. The 2000 World Health Organization (WHO) Health System rankings were used as a proxy for health system infrastructure and responsiveness. A regression equation was calculated with the MIR as the dependent variable and the WHO Health System ranking as the independent variable. Predicted MIR values were next calculated based on the regression results. Actual MIR values that exceeded 0.20 from the predicted MIR were removed as 'divergent' points. The regression equation was then re-plotted. Goodness-of-fit for both regressions was assessed by the R-squared test. Results: Asian countries have a relatively wide colorectal cancer MIR range, from a minimum of 0.24 to a maximum of 0.86. For the full dataset, the adjusted R-squared value for this regression was 0.53. The equation was then used to calculate a predicted MIR, whereby two data points were identified as 'divergent' and removed. The adjusted R-squared for the edited dataset increased to 0.66. Conclusions: Asian countries have a marked range in their colorectal cancer MIR values and there is a strong correlationwith the WHO Health System ranking. These results corroborate the contribution of the MIR as a potentially robust tool in monitoring changes in colorectal cancer care for Asian nations.

• 통상정보연구
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• 제11권2호
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• pp.111-126
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• 2009

This study analysed determinants of Foreign Direct Investment to ASEAN+ 3 member nations using panel data for which cross-sectional data are combined with time series data. The data for the analysis included the amount of FDI, GDP, and indexes of economic independence. This study collected data from six nations(Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) whose data were easily available, China and Japan from 2003 to 2007 and analysed them. The results are summarized as follows: Using the pooled OLS method, we found Model 2 had the highest explanatory power whose adjusted R-squared was 89.4%, which accounted for about 89% of foreign investment. Using the fixed effect model, Model 2 had the highest explanatory power whose adjusted R-squared was 96.8%, which accounted for about 97% of foreign investment. Using the probability effect model, Model 5 had the highest explanatory power, but in respect to its statistical significance, only GDP was 1% significant and the rest variables had no significance.

• 한국재난정보학회 논문집
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• 제20권1호
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• pp.82-92
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• 2024

연구목적: 본 연구는 화재시뮬레이션 데이터를 증강현실에 연동할시 발생하는 방대한 데이터 구축과 그로 인한 데이터 과부하 문제 해결 방안을 강구하기 위함이다. 연구방법: 데이터 추정 기술인 선형 보간법의 신뢰도와 계산 복잡도를 개선하기 위한 적정 Input 데이터의 간격을 설정하기 위한 실험을 진행하였다. 또한, 선형 보간법이 화재의 동적 변화를 잘 반영하는지 확인하기 위한 타당성 검증을 진행하였다. 연구결과: 연구 대상 건축물인 지하 공동구에 적용 결과 10m 간격으로 데이터 입력시 보간법의 신뢰성과 시뮬레이션의 연산처리 속도 개선에서 높은 만족성을 보였다. 또한, 보간법을 활용한 화재시뮬레이션 데이터의 추정 방식이 높은 설명력과 신뢰성을 가진다는 것을 MAE와 R-Squared를 이용한 평가를 통해 검증하였다. 결론: 본 연구는 화재시뮬레이션에 디지털트윈 기술을 적용하면서 발생하는 데이터 과부하 문제를 보간법을 통해 해결하였으며, 이를 통한 화재 정보 예측과 시각화가 실시간 화재 예방에 크게 기여함을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.350-358
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• 2021

In modern years, the performance of the students is analysed with lot of difficulties, which is a very important problem in all the academic institutions. The main idea of this paper is to analyze and evaluate the academic performance of the college students with bipolar disorder by applying data mining classification algorithms using Jupiter Notebook, python tool. This tool has been generally used as a decision-making tool in terms of academic performance of the students. The various classifiers could be logistic regression, random forest classifier gini, random forest classifier entropy, decision tree classifier, K-Neighbours classifier, Ada Boost classifier, Extra Tree Classifier, GaussianNB, BernoulliNB are used. The results of such classification model deals with 13 measures like Accuracy, Precision, Recall, F1 Measure, Sensitivity, Specificity, R Squared, Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, TPR, TNR, FPR and FNR. Therefore, conclusion could be reached that the Decision Tree Classifier is better than that of different algorithms.

• Nuclear Engineering and Technology
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• 제52권2호
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• pp.456-460
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• 2020

In this research, a radiation detection backpack to be used discreetly or by a wide range of users was developed using array silicon-photomultiplier (SiPM) and CsI (Tl), and its characteristics were evaluated. The R-squared value, which indicates the responsiveness of a detector based on the signal intensity, was determined to be 0.981, indicating a good linear responsivity. The energy resolutions for gamma radiation energies of Co-57 (122 keV), Ba-133 (356 keV), Cs-137 (662 keV), and Co-60 (1332 keV) were found to be 13.40, 10.50, 6.77, and 3.16%, respectively. These results confirm good energy resolution characteristics. Furthermore, in the case of mixed sources, the gamma radiation peaks were readily distinguishable, and the R-squared value for energy linearity was calculated to be 0.999, demonstrating an exceptional energy linearity. Further research based on the results of this study would enable the commercialization of lightweight SiPM-based wireless radiation detection backpacks that can be used for longer durations by replacing the photomultiplier tube, which is mainly used as the optical sensor in existing radiation detection backpacks.