• Title/Summary/Keyword: exploratory

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An Exploratory Study on the Innovative Behavior of Quasi-Government Sector CEO - Focusing on the Modelling behavior - (정부산하기관 CEO의 혁신행동에 대한 탐색적 연구 : 솔선수범을 중심으로)

  • Kim, Beam-Seang
    • Journal of Digital Convergence
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    • v.5 no.1
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    • pp.77-89
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    • 2007
  • The purpose of this exploratory study is to analyze the modelling behavior of public type quasi-government sector CEO, The results of this study on the 100 CEO is as followes: 1) Such behavior as pointed by government is more frequently practiced by CEO of the quasi-government sector. 2) The general level of modelling behavior by CEO doesn't meet the general expectations in spite of the many efforts of the CEO, Lastly, the summary and implications of this study is followed.

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A Study on Road Characteristic Classification using Exploratory Factor Analysis (탐색적 요인분석을 이용한 도로특성분류에 관한 연구)

  • Cho, Jun-Han;Kim, Seong-Ho;Rho, Jeong-Hyun
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.53-66
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    • 2008
  • This research is to the establishment of a conceptual framework that supports road characteristic classification from a new point of view in order to complement of the existing road functional classification and examine of traffic pattern. The road characteristic classification(RCC) is expected to use important performance criteria that produced a policy guidelines for transportation planning and operational management. For this study, the traffic data used the permanent traffic counters(PTCs) located within the national highway between 2002 and 2006. The research has described for a systematic review and assessment of how exploratory factor analysis should be applied from 12 explanatory variables. The optimal number of components and clusters are determined by interpretation of the factor analysis results. As a result, the scenario including all 12 explanatory variables is better than other scenarios. The four components is produced the optimal number of factors. This research made contributions to the understanding of the exploratory factor analysis for the road characteristic classification, further applying the objective input data for various analysis method, such as cluster analysis, regression analysis and discriminant analysis.

Exploratory Spatial Data Analysis (ESDA) for Age-Specific Migration Characteristics : A Case Study on Daegu Metropolitan City (연령별 인구이동 특성에 대한 탐색적 공간 데이터 분석 (ESDA) : 대구시를 사례로)

  • Kim, Kam-Young
    • Journal of the Korean association of regional geographers
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    • v.16 no.5
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    • pp.590-609
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    • 2010
  • The purpose of the study is to propose and evaluate Exploratory Spatial Data Analysis(ESDA) methods for examining age-specific population migration characteristics. First, population migration pyramid which is a pyramid-shaped graph designed with in-migration, out-migration, and net migration by age (or age group), was developed as a tool exploring age-specific migration propensities and structures. Second, various spatial statistics techniques based on local indicators of spatial association(LISA) such as Local Moran''s $I_i$, Getis-Ord ${G_i}^*$, and AMOEBA were suggested as ways to detect spatial dusters of age-specific net migration rate. These ESDA techniques were applied to age-specific population migration of Daegu Metropolitan City. Application results demonstrated that suggested ESDA methods can effectively detect new information and patterns such as contribution of age-specific migration propensities to population changes in a given region, relationship among different age groups, hot and cold spot of age-specific net migration rate, and similarity between age-specific spatial clusters.

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Chinese New Generation Women's Clothing Exploratory Behavior according to their Sensitivity Pursuit Propensity (중국 신세대 여성들의 감각추구성향에 따른 의복탐색행동)

  • Wang Haiyan;Kim Yong-Sook
    • Journal of the Korean Society of Costume
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    • v.55 no.3 s.93
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    • pp.81-93
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    • 2005
  • The purpose of this study was to identify Chinese new generation women's clothing exploratory behavior according to their sensitivity pursuit propensity. The respondents were 500 Chinese new generation women residing in Soju City, China. Frequencies, percent, mean, one-way ANOVA, factor analysis, Chi-square test, and cluster analysis were done by use of SPSS PC+. The results were as follows; 1. The factors of sensitivity pursuit propensity were adventure & diversity, change, new atmosphere, and artistic sensitivity. And factors of clothing exploratory behavior were brand turnover, innovative clothing purchasing or wearing, clothing information collection through visiting store, and clothing information collection through contacting neighbors or advertisement. 2. The Chinese new generation women were classified into the creativity pursuit, the adventure & change pursuit, the multi-sensation pursuit, and the sensation retard according to their sensitivity pursuit propensity. 3. The creativity pursuit explored clothing for brand turnover and information through visiting store, communication, or advertisement, were found more among the unmarried late 20's with higher education and jobs. The adventure & change pursuit explored clothing information through visiting store, were found more among the unmarried university students in early 20's. The multi-sensation pursuit explored innovative clothing purchasing, were found more among the unmarried early 20's with jobs or students. The sensation retard explored clothing information through communication or advertisement, considered quality more, were found more among the married early 30's with lower education level and jobs.

Exploratory and Confirmatory Factor Analysis of the Korean version of the Penn State Worry Questionnaire (한글판 펜실베니아 걱정 질문지의 탐색적 및 확인적 요인 분석)

  • Jeon, Jun Won;Kim, Daeho;Kim, Eunkyung;Roh, Sungwon
    • Anxiety and mood
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    • v.13 no.2
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    • pp.86-92
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    • 2017
  • Objective : This study evaluated the factor structure of a Korean version of the Penn State Worry Questionnaire (K-PSWQ) with exploratory factor analysis in healthy adult subjects, and confirmatory factor analysis of subjects who have received psychiatric treatment. Methods : Exploratory principal component analysis was conducted with data from 318 non-psychiatric subjects, and 118 psychiatric patients were subjected to confirmatory factor analysis (maximum likelihood estimation). Participants were voluntary visitors at the booth who agreed to undergo screening for anxiety disorder at 2013 & 2014 Korea Mental Health Exhibitions. Results : Exploratory analysis revealed a two factor structure of the scale with total variance of 56.3%. Factor 1 was considered 'Worry engagement', and factor 2 was considered 'Absence of worry'. However, the results of the confirmatory factor analysis supported that both one factor model with method factor and two factor model are fit to structure of the scale considering fit indices. Internal consistency of total questions was good (Cronbach's ${\alpha}=0.899$). Conclusion : Our results supported the previously suggested factor structure of the PSWQ, and proved factorial validity of the K-PSWQ in both populations.

Anomaly Detection in Sensor Data

  • Kim, Jong-Min;Baik, Jaiwook
    • Journal of Applied Reliability
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    • v.18 no.1
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    • pp.20-32
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    • 2018
  • Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.

An Analysis of Mathematical Communication in Preliminary Application of the Revised Curriculum - Focused on 'Exploratory Activity' and 'Story Corner' in Elementary Textbooks for the First and Second Grades - (개정 교육과정의 실험 적용에서 나타나는 수학적 의사소통 분석 - 초등 1.2학년 탐구 활동과 이야기 마당을 중심으로 -)

  • Park, Mi-Hye;Pang, Jeong-Suk
    • Journal of Educational Research in Mathematics
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    • v.19 no.1
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    • pp.163-183
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    • 2009
  • The purpose of this study was to provide useful information for teachers by analyzing mathematical communication emphasized through 'exploratory activity' and 'story corner' in elementary textbooks based on the revised curriculum. Two classrooms from the first grade and second grade respectively were observed and videotaped. Mathematical communication of each classroom was analyzed in terms of questioning, explaining, and the sources of mathematical ideas. The results showed that only one classroom focused on students' thinking processes and explored their ideas, whereas the other classrooms focused mainly on finding answer. Particularly, this tendency often appeared when implementing 'story corner' than 'exploratory activity'. The reason for this was inferred that teachers were not familiar with teaching mathematics in stories and that teachers' manual did not include concrete questions and students' expected responses. This paper included implications on how to promote mathematical communication specifically in lower grades in elementary school.

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Effect of Abdominal Drawing-In Maneuver on Peak Expiratory Flow, Forced Expiratory Volume in 1 Second and Pain During Forced Expiratory Pulmonary Function Test in Patients With Chronic Low Back Pain (만성요통환자에서 복부심부근 강화 운동이 노력성 호기 폐기능 검사 동안 최대호기유량 및 1초간노력성호기량과 요통에 미치는 효과)

  • Kim, Ki-Song;Kwon, Oh-Yun;Yi, Chung-Hwi
    • Physical Therapy Korea
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    • v.16 no.1
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    • pp.10-17
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    • 2009
  • The aim of this study was to investigate the effect of abdominal drawing-in maneuver (ADIM) on peak exploratory flow (PEF), forced exploratory volume in 1 second ($FEV_1$), and low back pain during forced expiration. Twenty-two subjects (14 subjects in experimental group, 8 subjects in control group) participated in this study. The stabilizer was used for ADIM training for five consecutive days. Vitalograph PEF/$FEV_1$ DIARY and visual analogue scale (VAS) were used to determine forced expiratory pulmonary function and low back pain, respectively. Independent t-test and analysis of covariance were used for statistical analysis with a significance level of .05. The findings of this study were as follows: 1) There were no significant differences of ADIM effect on PEF and $FEV_1$ between experimental group and control group. 2) There was a significant pain reduction in experimental group with ADIM. 3) PEF and $FEV_1$ increased significantly in the fifth day compared with the first day pre-exercise baseline. Therefore, it is concluded that ADIM was effective in improving PEF and $FEV_1$, and reducing VAS during forced expiration in patients with chronic low back pain.

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Life Experiences and Prospects of Welfare/Poverty Exit of the Poor with Work Ability: Mixed Methodology using Sequential Exploratory Design (근로능력이 있는 빈곤층의 경험과 탈수급/탈빈곤 전망에 대한 연구: 순차적 탐구전략에 따른 방법론적 융합)

  • Jo, Joon-Yong
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.19-29
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    • 2016
  • This study analyzes life experiences and prospects of poverty/welfare exit of the poor with work ability utilizing Mixed methodology. Based on Sequential Exploratory Design, it qualitatively analyzes 3 waves of qualitative panel data linked to Korea Welfare Panel Study(KWPS) and presents life changes of 14 poor in the context of their prospects of welfare/poverty exit. Then it proposes hypotheses on the role of education, household economy expectation, self-esteem in the prospects of poverty/welfare exit following the sequential exploratory design to quantitatively test qualitative findings utilizing KWPS(7th). The outcomes of the Structural Equation Model(SEM) suggest that household economy expectation plays mediating role between education and the prospects of welfare/poverty exit. This implies that anti-poverty policy needs to consider a psychological approach to enhance household economy expectations of the poor as well as other material support.

Usefulness of FAST for Evaluation of Blunt Abdominal Trauma Patients (복부둔상 환자의 혈복강 진단에 있어 FAST의 유용성에 대한 고찰)

  • Chu, Yong Sik;Kim, Ok Jun;Choi, Sung Uk;Lee, Jung Han
    • Journal of Trauma and Injury
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    • v.19 no.2
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    • pp.135-142
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    • 2006
  • Purpose: We planned to determine the diagnostic capability of focused assessment with sonography for trauma (FAST) in cases of blunt abdominal injury (BAI). Methods: A retrospective analysis of FAST sheets was performed from April 2002 to December 2004. During the study period, 135 BAI patients were evaluated with FAST at the Emergency Department of Bundang CHA Hospital. Of this group, twenty-eight patients were excluded, leaving 107 patients for analysis. Abdomen CT (computerized tomography) or exploratory laparotomy confirmed the presence of hemoperitoneum. At the secondary survey, patients underwent a three-view FAST examination (LogicQ; General Electric, Waukesha, USA) by an emergency physician, followed within 2 hours by an abdomen CT or exploratory laparotomy. The FAST examination was considered positive if it demonstrated evidence of free intra-abdominal fluid. Results: There were 45 true-positive FAST examination, 57 true-negatives, 1 false-positive, and 4 false negatives (sensitivity 91.8%, specificity 98.3%, positive predictive value 97.8%, negative predictive value 93.4%). The area under the ROC curve was 0.951 for the FAST examination. Conclusion: FAST is a highly reliable method for screening patients suspected of having BAI for the presence or absence of hemoperitoneum.