• 대한인간공학회지
• /
• 제28권4호
• /
• pp.117-124
• /
• 2009

To inspect the quality of data collected from a large-scale body measurement and investigation project, it is necessary to establish a proper data editing process. The three-dimensional body measurement may have measuring errors caused from measurer's proficiency or changes in the subject's posture. And it may also have errors caused in the process of algorithm expressing the information obtained from the three-dimensional scanner into numerical values, and in the course of data-processing dealing with numerous data for individuals. When those errors are found, the quality of the measured data is deteriorated, and they consequently reduce the quality of statistics which was conducted on the basis of it. Therefore this study intends to suggest a new way to improve the quality of the data collected from the three-dimensional body measurement by proposing a working procedure identifying data errors and correcting them from the whole data processing procedure-collecting, processing, and analyzing- of the 2004 Size Korea Three-dimensional Body Measurement Project. This study was carried out into three stages: Firstly, we detected erroneous data by examining of logical relations among variables under each edit rule. Secondly, we detected suspicious data through independent examination of individual variable value by sex and age. Finally, we examined scatter-plot matrix of many variables to consider the relationships among them. This simple graphical tool helps us to find out whether some suspicious data exist in the data set or not. As a result of this study, we detected some erroneous data included in the raw data. We figured out that the main errors are not because of the system errors that the three-dimensional body measurement system has but because of the subject's original three-dimensional shape data. Therefore by correcting some erroneous data, we have enhanced data quality.

• 디지털융복합연구
• /
• 제17권10호
• /
• pp.169-176
• /
• 2019

최근 한국경제는 일본의 경제보복조치와 미국과 중국 간 무역전쟁, 한국은행의 0.25% 기준금리 인하, 한국의 경제성장률 전망치 수정으로 혼잡한 상황이다. 본 연구의 목적은 한국종합주가지수와 소비자물가지수, 국고채(3년) 금리, 전산업의 매출실적을 분석하여 각 지수별로 종합주가지수에 미치는 영향을 살펴보는데 있다. 분석기간은 2003년 1월부터 2019년 6월까지이고, 각 지수별로 종합주가지수에 미치는 정도를 분석하였다. 본 연구는 수치분석에서 상관계수와 회귀분석을, 모형분석에서 분포도, 사분위도, Scatter, Box-Plot, Impulse Response를 살펴보았다. 이를 통해 각 지수별 변동성과 동행성을 찾아보았다. 분석결과 종합주가지수는 매출실적과 국고채금리 순으로 높은 동행성과 변동률을 보인 반면 소비자물가지수와는 매우 낮은 상관관계를 보여 주었다. 앞으로 종합주가지수는 매출실적과 금리의 영향을 받을 것으로 보여 꾸준한 관심이 필요해 보인다.

• 한국추진공학회지
• /
• 제24권6호
• /
• pp.78-84
• /
• 2020

본 논문에서는 Part I에 소개된 요소모델들을 통합하여 핀틀 추력기 성능 특성을 분석하였다. 성능해석 모델 검증을 위하여 케로신/과산화수소 액체 핀틀 추력기의 실험결과와 비교 분석하였다. 검증한 결과를 바탕으로 핀틀 추력기 내부의 비정상 열유동장의 물리적 특성을 분석하였으며 필름효과를 확인하였다. 또한 추력기의 형상인자와 작동인자가 성능특성에 미치는 영향을 파악하기 위하여 OAT 방법과 scatter plot 방법을 이용해 민감도 분석을 수행하였다. 액적직경, 필름유량, O/F비, 노즐목 직경의 4가지 인자를 이용해 특성속도, 연소실 압력, 비추력의 변화에 대한 영향을 관찰하였다.

• 대한수학교육학회지:수학교육학연구
• /
• 제23권4호
• /
• pp.467-490
• /
• 2013

상관관계는 두 통계적 변량 사이의 관계를 이해하는 데 필요한 핵심적인 통계의 개념이다. 우리나라의 중등교육과정에서는 제7차 교육과정까지 산점도와 분할표를 이용하여 상관관계를 비형식적으로 다루도록 하였고, 2007 교육과정 이후 상관관계에 대한 내용을 삭제하였다. 이 연구에서는 비형식적인 상관관계의 교육을 받은 고등학생들의 상관관계와 관련된 이해도 및 오개념을 조사하였다. 학생들은 상관관계가 선형적 관계성에 근접한 정도를 의미하는 것을 잘 알지 못하였고 자료의 밀집된 모양이 유발하는 시각적 오개념에 취약하였다. 또한 글로 표현된 상관관계의 강도 비교에 대한 서술문의 진위성을 잘 판단하지 못하였다. 많은 학생들이 $2{\times}2$ 분할표에 제시된 범주형 자료를 보고 상대빈도수의 개념을 이용하여 연관성을 판단하지 못하였다. 우리나라 고등학생들의 상관관계 개념의 이해도가 부족하고 오개념이 빈번한 것으로 볼 때, 통계의 기본적 소양인 두 변량 사이의 상관관계에 대한 지도가 강화되어야 할 것이다.

• 성인간호학회지
• /
• 제28권4호
• /
• pp.399-414
• /
• 2016

Purpose: The purpose of this study was to review and identify factors relevant to workplace bullying in nursing. Methods: Twenty-three studies that met the criteria were selected from a sample of twenty-six studies. These articles were retrieved from a central literature databases (N=13,241). The total correlational effect size (ESr) for each related factor was calculated from Fisher's Zr. A funnel plot inspection (similar to scatter plot) with a trim-and-fill method was used to assess the publication bias of the meta-analyzed studies. Results: From the systematic review, fifty-one factors were identified as having an influencing effect. Fourteen factors (five individual and nine organizational factors) were eligible for meta-analysis. The individual factors included, self-esteem (ESr=-.31), psychological capital (ESr=-.26), and marital status (ESr=-.06) which were significantly correlated with workplace bullying. Organizational factors included, organizational tolerance (ESr=.48), supervisor incivility (ESr=.47), job stress (ESr=.46), group morale (ESr=-.36), group support (ESr=-.35), supervisor leadership (ESr=-.35), group identity (ESr=-.33), and structural empowerment (ESr=-.27). These factors were significantly correlated with workplace bullying. There were no publication biases except for both individual and organizational factors. Conclusion: Organizational factors have more of an greater impact than individual factors on workplace bullying. The results of this study support the need for intervention at the organizational level.

• Communications for Statistical Applications and Methods
• /
• 제14권1호
• /
• pp.241-254
• /
• 2007

This paper propose a new short-term interest rate model having a different nonlinear drift function and the same diffusion coefficient with Chan et al. (1992) model. The fractional polynomial power of the drift function in our model is linked to the local volatility elasticity of the diffusion coefficient. While the nonlinear drift function estimated by $A\"{\i}t$-Sahalia (1996a) and others has a feature that higher interest rates tend to revert downward and low rates upward, the drift function estimated by our nonlinear model shows that higher interest rate mean-reverts strongly, but, medium rates has almost zero drift and low rates has a very small drift. This characteristic coincides the empirical result based on the nonparametric methodology by Stanton (1997) and the implication by the scatter plot of the short rate data.

• Communications for Statistical Applications and Methods
• /
• 제12권3호
• /
• pp.625-634
• /
• 2005

A procedure is proposed to identify multiple outliers in the logistic regression. It detects the leverage points by means of hierarchical clustering of the robust distances based on the minimum covariance determinant estimator, and then it employs a V-mask type criterion on the scatter plot of robust residuals against robust distances to classify the observations into vertical outliers, bad leverage points, good leverage points, and regular points. Effectiveness of the proposed procedure is evaluated on the basis of the classic and artificial data sets, and it is shown that the procedure deals very well with the masking and swamping effects.

• 한국항공운항학회지
• /
• 제18권2호
• /
• pp.1-8
• /
• 2010

In order to determine the possibility of using NDGPS signals for flight operations, in-flight measurements of signals transmitted from various ground reference stations(RS) were conducted along the air routes of South Korea. Signal strength and signal to noise ratio(SNR) data were collected along domestic flight routes and recorded with time. By using three-dimensional geographical position data of the aircraft, signal strength data of en-route position were calculated and used to obtain scatter-plot of signal strength. These results were used to outline the effective coverage and field strength hemispheres of the selected DGPS signals.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.172.6-172
• /
• 2001

In recent years, many attempts have been made to predict the behavior of bonds, currencies, stock, or other economic markets. Most previous experiments used multilayer perceptrons(MLP) for stock market forecasting, The Kospi 200 Index is modeled using different neural networks and fuzzy system predictions. In this paper, a multilayer perceptron architecture, a dynamic polynomial neural network(DPNN) and a fuzzy system are used to predict the Kospi 200 index. The results of prediction is compared with the root mean squared error(RMSE) and the scatter plot. The results show that the fuzzy system is performing slightly better than DPNN and MLP. We can develop the desired fuzzy system by learning methods ...

• Journal of information and communication convergence engineering
• /
• 제7권3호
• /
• pp.304-308
• /
• 2009

This paper proposes a new concept of a signal constellation of the recently introduced half-symbol-rate-carrier phase-shift keying (HSRC-PSK) modulations for bandwidth-efficient high speed data communications. Since the HSRC-PSK modulations contain different symbol energies representing the same bit sequences due to the loss of orthogonality of their HSRC signals, it is very hard to represent the symbol using the conventional signal constellation. To resolve the problem, two different energies are assigned to represent one symbol for the HSRC offset quadrature phase shift keying (OQPSK) modulation. Similarly, the different energies exist to display the different symbol for HSRC minimum shift keying (MSK) modulation. With the proposed signal space representation, HSRC-PSK symbol can easily be shown with a two-dimensional scatter plot which provides helpful information of evaluating HSRC-PSK signal's quality.