• Title/Summary/Keyword: 교차상관분석

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Development of Severity Model for Rural Unsignalized Intersection Crashes (지방부 비신호 교차로 교통사고 심각도 예측모형 개발 - 수도권 주변 및 전라북도 지역의 3지 비신호 교차로를 중심으로 -)

  • Lee, Dong-Min;Kim, Eung-Cheol;Sung, Nak-Moon;Kim, Do-Hoon
    • International Journal of Highway Engineering
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    • v.10 no.3
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    • pp.47-56
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    • 2008
  • Generally, accident exposure at intersections is relatively higher than that at roadway segments due to more possibility of merging, diverging, turning, crossing, and weaving maneuver. Furthermore, the traffic accident rate at intersections has been rapidly increasing since 1990's. Since there is more opportunity of conflict at unsignalized intersection, frequency and severity of traffic accident are more severe than signalized intersections. The purpose of the study is to analyze factors causing vehicle crashes and provide intersection design guidelines to improve intersection safety. For this study, vehicle to vehicle crash data of 116 rural 3 legs unsignalized were collected and field surveys were conducted for traffic and geometric conditions. Ordered probit models were developed to analyze the severity of crashes. It was found that weather, obstacles in minor roadsides, presence of major exclusive right lane, presence of major road crosswalk, difference between posted speed of major road and minor road, land-use around intersections, shoulder width of major road, ADT of major road are significant factors for intersection safety.

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The Estimation of Collision Speed at the Intersection using Simulation (시뮬레이션을 통한 교차로 충돌 속도 추정)

  • Han, Chang-Pyoung;Cheon, Jeong-Hwan;Choi, Hong Ju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.514-521
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    • 2021
  • When calculating an intersection collision speed using a formula, it is very difficult to grasp the degree of deceleration of a vehicle after the collision unless there is road surface trace in the entire section where each vehicle moved from the point of collision to their final positions after the collision. A vehicle's motion trajectory shows an irregular curve after a collision due to the effects of inertia based on the driving characteristics of the vehicle, the eccentric force according to the collision site, and the collision speed. Therefore, it is very important to set the appropriate departure angle after a collision for accurate collision speed analysis. In this study, based on experimental collision data using a computer simulation (PC-Crash), the correlation between an appropriate vehicle departure angle and the post-collision speed was analyzed, and then, a regression analysis model was derived. Through this, we propose a method to calculate collision speed by applying only the vehicle departure angle in some types of collisions for traffic accidents at intersections.

Transmission Effect of Price Variations (가격변동의 전이효과)

  • Kim, Tae-Ho;Ann, Ji-Hee
    • Communications for Statistical Applications and Methods
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    • v.17 no.2
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    • pp.241-253
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    • 2010
  • As standard unit root tests are empirically proved to fail to reject the null hypothesis of a unit root for many economic and business time series, it is doubtful that most of those series are informative about the existence of a unit root or that those tests are powerful against relevant alternative hypotheses. This study attempts to perform tests of the null hypothesis of stationarity as well as tests of the null hypothesis of a unit root using the time series data of housing prices in the major metropolitan areas. The results of the additional analyses such as lead-lag, cross-correlation and impulse response for testing the statistical interrelationships between the prices are generally found to be consistent.

A Cross-Temporal Meta-Analysis of Korean College Students' Self-Efficacy, 1999-2022 (한국 대학생들의 자기효능감에 대한 시교차적 메타분석, 1999-2022)

  • Sujin Cho;Hyekyung Park
    • Korean Journal of Culture and Social Issue
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    • v.29 no.3
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    • pp.361-404
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    • 2023
  • This study utilized a cross-temporal meta-analysis to explore shifts in self-efficacy levels among Korean college students from 1999 to 2022. We expected that increases in authoritative parenting styles, narcissism levels among students, and individualism in Korea might have positively influenced the self-efficacy of college students over the years. Conversely, growing economic disparities, decreasing class mobility, and the increasing instability of job markets might have had negative effects on self-efficacy. To investigate this, we analyzed 293 self-efficacy studies involving Korean college students published between 1999 and 2022, encompassing a total of 88,904 participants. Our criteria included studies that used the three most prevalent self-efficacy scales in Korea, focused solely on Korean college students, were cross-sectional with a one-time self-efficacy measurement, and provided essential statistics for our analysis. The results indicated no significant change in the self-efficacy levels of Korean college students over the observed period from 1999 to 2022. Additionally, we examined correlations between self-efficacy and various social indicators from different time points (20, 15, 10, and 5 years prior, as well as the year of data collection). Findings revealed that both birth rate and consumer price fluctuation rate were consistently negatively correlated with self-efficacy, while gross national income was positively correlated. This study is the first to assess Korean college students' self-efficacy levels using a cross-temporal meta-analysis, offering foundational knowledge for implementing such analytical methods for subsequent research and providing an indirect assessment of the generational gap theory. Finally, the limitations of the study and the direction for future research were discussed.

Landslide susceptibility mapping and validation using the GIS and Bayesian probability model in Boeun (GIS 및 원격탐사를 이용한 2002년 강릉지역 태풍 루사로 인한 산사태 연구 (II) - 확률기법을 이용한 강릉지역 산사태 취약성 분석 및 교차 검증)

  • 이명진;이사로;원중선
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.481-486
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    • 2004
  • 본 연구에서는 분석된 산사태 발생원인을 근거로 산사태 발생 가능 지역에 대한 산사태 발생원인에 대한 등급값을 이용하여, 인접한 연구지역에 교차 적용하여 위험성을 평가하여 취약성도를 작성하고 산사태 피해 예방을 위한 방재 사업, 국토개발 계획 및 건설계획을 위한 기초 자료로 적용 및 활용할 수 있도록 하였다. 연구대상 지역은 여름철 집중호우시 산사태가 많이 발생하는 지역으로 정하였으며, 행정구상으로 강원도 강릉시 사천면 사기막리와 주문진읍 삼교리에 해당한다. 산사태가 발생할 수 있는 요인으로 지형도로부터 경사, 경사방향, 곡률, 수계추출을, 정밀토양도로부터 토질, 모재, 배수, 유효토심, 지형을, 임상도로부터 임상, 경급, 영급, 밀도를, 지질도로부터 암상을, Landsat TM 영상으로부터 토지이용도와 추출하여 격자화 하였으며, 아리랑1호 영상으로부터 선구조를 추출하여 l00m 간격으로 버퍼링한 후 격자화 하였다. 이렇게 구축된 산사태 발생 위치 및 발생요인 데이터베이스를 이용, Frequence ratio를 이용하여 각 요소간의 분류를 산사태와의 상관관계를 바탕으로 취약성도를 구하였다. 그리고 계산된 산사태 취약성 지수의 기존 산사태 발생을 설명하는 능력을 정량적으로 표현하기 위하여 추정능력을 계산하였다 또한 이를 교차적용 하여 산사태 취약성도를 각각의 경우에 맞게 만들었다 이러한 평가는 산사태 피해 예방을 위한 방재 사업, 국토개발 계획, 건설계획 등에 기초자료로서 적용 및 활용될 수 있다.

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The Effects of Emotional Perception on Major Satisfaction among Students at the Department of Dental Hygiene (치위생과 학생의 정서적 인식이 전공만족도에 미치는 영향)

  • Yu, Ji-Su;Choi, Su-Young
    • Journal of dental hygiene science
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    • v.10 no.5
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    • pp.307-314
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    • 2010
  • This study aimed to measure such features of emotional responses perceived by students as learning climate, department living stress, and perceived helplessness to analyze their effects on major satisfaction among students at the department of dental hygiene; to do this, a survey was conducted with 431 students, regardless of college year, who were at the department of dental hygiene in four colleges in Gyeonggi Province, Daejeon, and Chungcheong Province. An existing emotion scale which went through the generalization process was used to draw a multiple model in the combination form in order to collect emotional factors affecting college students' satisfaction with their major, which had existed as a hypothetical proposition, and make overall interpretation of relevance through the explainable, predictable modeling process by measuring emotional factors and phenomenal description of the level of general perception. The results showed that major satisfaction was very significantly affected by emotional features among students at the department of dental hygiene, which needs to be treated as an important factor to enhance expertise related to major learning and improve students' living.

The Relation of Fracture Properties to Hydraulic Conductivity in Volcanic Rocks of the Northern Yosu Area (여수 북부지역 화산암의 단열특성과 수리전도도와의 관계)

  • 조성일;송무영;김경수;이은용
    • The Journal of Engineering Geology
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    • v.9 no.3
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    • pp.227-241
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    • 1999
  • Groundwater flow in a fractured rock mass is related to the geometric characteristics of the fracture system. The objective of this study aims to analyze the probabilistic density function of fracture properties md their relations to the hydraulic conductivity in volcanic rocks of the northern Yosu area. Fracture characteristics were investigated by core logging and acoustic televiewer logging in four boreholes and the hydraulic conductivity was obtained from the constant pressure injection and fall-off tests. The 303 fractures were grouped into three sets by their orientation and three fracture types by the degree of opening in aperture. As a result of the study, the hydraulic conductivity in the test section intersected by open and semi-open fractures, conductive fractures, and set 1 fractures was very high, while closed fractures did rarely affect the hydraulic conductivity. It was recognized that the hydraulic conductivity in a fractured rock mass was preferentially affected by the aperture size of conductive fractures and fracture intersection frequency and size, secondly.

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Time series analysis for the amount of medicine from the Korea Consumer Agency (한국 소비자원 의료분야 처리금액에 대한 시계열 분석)

  • Hee Song Kang;Sukhui Kwon;SungDuck Lee
    • The Korean Journal of Applied Statistics
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    • v.36 no.1
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    • pp.21-32
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    • 2023
  • The amount of money processed in medicine from the Korea Consumer Agency was studied by the various time series models. The medical data set from the Korea Consumer Agency were consisted of counseling, damage relief and conciliation. For the analysis of time series, autoregressive moving average model, vector autoregressive model and the transfer function model were used. We considered the stationarity and cross correlation function for the identification and fitting. As a result, the transfer function model showed a better prediction. Whereas, the vector autoregressive model also provided good information for the degree and duration of the influence of variables.

Analysis of K-ABC Profile of Young Gifted Children and Ordinary Young Children (유아영재와 일반유아의 K-ABC 프로파일 분석)

  • Oh, Mee-Hyeong
    • Journal of Gifted/Talented Education
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    • v.19 no.2
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    • pp.241-260
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    • 2009
  • The purpose of this study was to contrast young gifted children with ordinary young children in K-ABC profile. The subject were 51 young gifted children and 51 ordinary young children, 2 to 4 years of age. Data of children's K-ABC profile were analyzed by Correlation and Crosstabs. The main results of this study were as follows: First, in the case of ordinary young children, there were significant positive correlation among 'Mental Processing Composite' and all sub-tests of mental processing composite except 'face memory' test, 'Achievement Scale'. In young gifted children, there were significant positive correlation among 'Mental Processing Composite' and just four sub-tests of mental processing composite, and there were no significant correlation between 'Mental Processing Composite' and 'Achievement Scale'. Second, there were no significant differences among all sub-tests' strength and weakness in young gifted children and ordinary young children. Third, young gifted children got higher score in 'Sequential Processing Scale' and 'Mental Processing Composite' than 'Achievement Scale'. But in ordinary young children, there were no significant differences among all K-ABC' sub-scales.

Estimation of seasonal rainfall based on multiple regression analysis using ASOS data of Korea Meteorological Administration (기상청 ASOS 자료를 활용한 다중회귀분석 기반의 계절 강수량 예측)

  • Kim, Chul-gyum;Lee, Jeongwoo;Lee, Jeong Eun;Kim, Nam-won;Kim, Hyeonjun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.310-310
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    • 2019
  • 본 연구에서는 기상청 ASOS(종관기상관측장비) 자료와 통계적 기반의 다중회귀분석모형을 이용하여 경안천 유역에 대한 봄철 강수량(3~5월 누적강수량)의 예측성을 평가하였다. 예측대상기간은 2006~2018년이며 예측인자로서 전국 96개 지점의 ASOS 자료 중 35개 기상요소에 대한 월 자료를 활용하였다. 전망기간(1~12개월)에 따라 강수량 기준 최소 1개월에서 최대 24개월까지의 지체시간을 고려하여 1~24개월 선행 ASOS 기상자료와 강수량 사이의 상관성을 분석하였다. 예측대상년도를 기준으로 과거 40년간의 자료를 이용하여 상관성 분석을 수행하였으며, 상관성이 높은 상위 30개 기상인자를 조합하여 다중회귀분석모형의 예측인자(독립변수)로 활용하였다. 예측대상년도와 전망기간에 따라 최적의 예측인자를 조합하고, 교차검증을 통하여 각각 4,000개의 다중회귀모형을 도출하여 예측범위를 산출하였다. 다중회귀모형에 의한 예측범위를 분석한 결과, 2013년 자료까지는 예측범위가 관측값을 잘 포함하고 예측값의 평균이나 중간값이 관측값과 유사하게 나타난 반면, 2014년부터는 전망기간에 따라 관측값과 예측범위의 차이가 크게 나타나는 경우도 있었다. 예측치의 중간값을 기준으로 3분위(평년 이상, 평년 수준, 평년 이하) 적중률을 분석하면, 2006~2013년에 대해서는 58.3%인 반면, 2014~2018년에 대해서는 11.2% 수준으로 나타났다.

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