• 한국의류학회지
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• 제21권6호
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• pp.1031-1040
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• 1997

This study was done to analyze the body surface developments of armhole area. The major conclusions of this study are: 1. The body surface developments showed the characteristics of expansion and contraction of body at armhole area. By arm movements, front armhole lines on the body surface developments of upper arm were slow going, but back armhole lines were full and round. As a whole, armhole line of the back torso was swollen outside especially at backarmpit point area, it seemed like a line of raglan sleeve. 2. Regression Analysis was carried out to adapt armhole line on the upper arm and upper body to bodice and sleeve pattern, following the axillary circumference line and chest breadth line changed to the basic pattern form. As the result, armhole lines of 90$^{\circ}$ and 135-180$^{\circ}$ movements deviated from those of standard posture. U-type, clear armhole curve of standard posture turned to V-type, slanting line by arm movements.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.905-906
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• 2008

This paper presents a method where the best focues points are calculated using line fitting. Two datasets are selected for each pixel based on the maximum value which is calculated using Laplacian operator. Then linear regression model is used to find lines that approximate these datasets. The best fit lines are found using least squares method. After approximating the two lines, their intersection point is calculated and weights are assigned to calculate the new value for the depth map.

• 한국의류학회지
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• 제22권7호
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• pp.892-900
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• 1998

This study was done to analyze the surface development of upper arm for planning sleeve armhole line. The major conclusions of this study are: 1. The surface development by arm movements made the expansion and contraction of upper arm surface changes easily visible. Armhole lines of 90$^{\circ}$and 135$^{\circ}$~180$^{\circ}$movements deviated from those of standard posture. 2. According to regression analysis, armhole lines on the upper arm were adapted to sleeve patten, following the axillary circumference line changed to biceps line. Sleeve cap length ranged from armhole/4+2.5cm to armhole/4$\pm$0.5cm. 3. Compared to Rim's pattern method, ascending and descending amounts of armhole lines were represented as fixed values.

• 산업기술연구
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• 제34권
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• pp.53-59
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• 2014

The single regression method was used to analyze the correlationship between the compression index with mechanical properties for reclaimed marine clays in the southern coast of Korea. As results of performing regression analysis for 200 samples about reclaimed marine clays in the southern coast of Korea, linear regression lines between compression index and natural water content, void ratio in situ, and liquid limit respectively wer obtained. The changed properties of soil due to disturbance during dredging and reclaiming could be investigated by comparing with the existing empirical correlation equations for the original ground where dredging was performed. These regression equations might be rationally used in the preliminary evaluation of settlement of dredged and reclaimed marine clayey ground in the southern coast of Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권6호
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• pp.1449-1461
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• 2024

As technology advances, processor speeds are increasing at a rapid pace and digital systems require a significant amount of data bandwidth. As a result, careful consideration of signal integrity is required to ensure reliable and high-speed data processing. Crosstalk has become a vital area of research in signal integrity for electronic packages, mainly because of the high level of integration. Analytic formulas were analyzed in this study to identify the features that can predict crosstalk in multi-conductor transmission lines. Through the analysis, five variables were found and obtained a dataset consisting of 302,500, data points. The study evaluated the performance of various regression models for optimization via automatic machine learning by comparing the machine learning predictions with the analytic solution. Extra tree regression consistently outperformed other algorithms, with coefficients of determination exceeding 0.9 and root mean square logarithmic errors below 0.35. The study also notes that different algorithms produced varied predictions for the two metrics.

• Steel and Composite Structures
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• 제33권4호
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• pp.583-594
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• 2019

In the areas highly exposed to earthquakes, concrete-filled steel tube columns (CFSTCs) are known to provide superior structural aspects such as (i) high strength for good seismic performance (ii) high ductility (iii) enhanced energy absorption (iv) confining pressure to concrete, (v) high section modulus, etc. Numerous studies were reported on behavior of CFSTCs under axial compression loadings. This paper presents an analytical model to predict ultimate load capacity of CFSTCs with circular sections under axial load by using multivariate adaptive regression splines (MARS). MARS is a nonlinear and non-parametric regression methodology. After careful study of literature, 150 comprehensive experimental data presented in the previous studies were examined to prepare a data set and the dependent variables such as geometrical and mechanical properties of circular CFST system have been identified. Basically, MARS model establishes a relation between predictors and dependent variables. Separate regression lines can be formed through the concept of divide and conquers strategy. About 70% of the consolidated data has been used for development of model and the rest of the data has been used for validation of the model. Proper care has been taken such that the input data consists of all ranges of variables. From the studies, it is noted that the predicted ultimate axial load capacity of CFSTCs is found to match with the corresponding experimental observations of literature.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 가을 학술발표논문집 Vol.30 No.2 (3)
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• pp.115-117
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• 2003

ea­RED(Efficient Adaptive RED)[1][2] 라우터 버퍼 관리 알고리즘 성능 향상을 위해서 ea­RED 라우터 버퍼 사이즈 변화를 예측할 수 있는 예측 알고리즘 모듈의 추가 필요성을 느낀다. 그래서 본 논문에서는 ea­RED 라우터 버퍼 관리 알고리즘의 원형인 RED 라우터 버퍼 관리 알고리즘에 AR(AutoRegression Analysis), IIR(Infinite Impulse Response) MACD(Moving Average Convergence & Divergence), LR_Lines(Linear Regression Lines)등의 예측 알고리즘 모듈을 적용하여 변화를 살펴보고. 결과를 비교. 분석하여 ea­RED 라우터 버퍼 관리 알고리즘 성능 향상에 가장 적합한 예측 알고리즘으로 LR_Lines를 선정했다. ea­RED 라우터 버퍼 관리 알고리즘에 적합한 예측 알고리즘 선정을 위해서 RED 라우터 버퍼 관리 알고리즘을 대신 이용한 이유는 ea­RED 라우터 버퍼 관리 알고리즘의 경우 네트워크 상황에 따라, 버퍼 관련 파라미터 값을 수시로 바꾸기 때문에 예측 알고리즘의 정확성을 판단하는데 어려움이 있지만, RED 라우터의 경우는 버퍼 관련 파라미터 값을 변화시키지 않기 때문에, 좀 더 일관성 있고 정확한 분석을 수행할 수 있기 때문이다.

• 전기학회논문지
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• 제60권2호
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• pp.252-256
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• 2011

We analyze the channel capacity with considering the effect of the loading conditions of indoor PLC networks on channel state information. We consider various numbers of load for two kinds of the networks with regular length branches and a deployed network of indoor PLC. For calculating the channel capacity degradation, two noise scenarios and impedances are considered. From the simulation results, we suggest the robust regression lines for modeling the channel capacity degradation. In the cases of 0 $\Omega$ and $Z_0$ loads, natural log and linear function curve show the best goodness of fit, respectively. For the deployed indoor PLC network with 0 $\Omega$ loads, compared with the networks with regular length branches, the goodness of fit decreases by the amount of 0.12 and 0.15 for low noise and high noise scenarios, respectively. Using the regression lines, we can estimate the channel capacity degradation without measurement.

• 대한교통학회지
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• 제27권6호
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• pp.45-53
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• 2009

서울시의 버스체계개편 시행 후 약 4년이 지난 현재 대중교통 이용승객의 증가에도 불구하고 서울시의 재정부담은 크게 개선되지 못하였다. 이에 서울시는 버스의 경쟁력을 강화하고 효율성을 제고하기 위한 정책들을 수립할 계획이며, 이러한 정책의 효과를 객관적으로 평가하기 위해서는 버스수단 경쟁력의 기반이 되는 노선의 효율성 추정과 이에 영향을 미치는 요인들의 분석이 요구된다. 본 연구에서는 2008년 서울시 간선버스 노선의 자료와 DEA 모형의 하나인 BCC 모형을 이용하여 각 노선의 효율성을 추정하였다. 효율성 추정시 각 노선은 차량대수, 노선거리, 정류장개수, 배차간격, 운영비를 투입하여 승객수와 수익금을 산출하는 것으로 가정하였다. 투입지향 BCC 모형으로 분석한 결과, 평가노선 18개 중 규모수익불변(CRS)인 노선은 총 2개이며, 나머지 16개 노선은 규모수익체증(IRS)인 노선으로 분석되었다. 또한 분석에 사용된 요소들이 효율성 점수에 미치는 영향을 파악하기 위하여 토빗회귀분석을 수행한 결과, 현재 간선버스에 가장 큰 영향을 미치는 변수는 배차간격인 것으로 분석되었다.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.877-887
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• 2002

In this paper, behaviors and properties of p-values for goodness-of-fit test are investigated. With some findings on the p-values, we consider some applications to determine sample size of a survey research using the regression equation based on a pilot study data. Regression equations are obtained by the well-known least squared method, and we find that regression lines could be formulated with only two data points, alternatively. For further studies, this works might be extended to t distributions for testing hypotheses about population mean in order to determine sample size of a prospective study. Also similar arguments could be explored for F test statistics.