• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.586-592
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• 2006

Mobile Services are that function of information system are served in mobile environment. So, Success model for the mobile services might be derived through mixing success model of information system with mobile attributes. There are many kinds of mobile services. Specially, commerce, communication entertainment and information services are representative types in mobile services. In this paper, we do not only derive important factors that influence success of mobile services, but also analyze how the factors influence the success of mobile services. We also analyze whether measures of the factors might differ significantly among the types of mobile services.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.343-343
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• 2016

기후변화에 따라 우리나라는 연안에 근접한 도시들에서 반복적으로 침수에 의한 재산 및 인명 피해가 나타나고 있다. 이러한 침수에는 크게 3가지 요인이 존재한다. 첫 번째는, 높은 강도의 폭우가 발생하고 증가와 펌프, 우수관 등의 불량으로 인하여 물이 하천으로 배수되지 못하는 내수침수이다. 두 번째는, 설계빈도를 넘는 수위가 발생하여 제방의 부실 등으로 하천이 월류하게 되는 외수범람이 있다. 마지막으로는 해수위가 상승하여 발생하는 해수침수이다. 본 연구에서는 내수침수와 외수범람에 의한 복합적인 침수해석을 하고자 한다. 기존의 연구에서는 각각의 범람요인들에 대해 독립적인 해석으로 개별적인 침수예상도가 산출되었다. 이렇게 개별 선정한 결과를 선형합으로 중첩하는 방법론의 오류 및 부적합성을 검토하고자 한다. HDM-2D(Song. 2011) 모델을 이용하여 내수침수와 외수범람을 복합적으로 모의하고 그 영향을 고려하고자 한다. ERG (Exponentially Growth Rate) 기법에 의한 생성/소멸 기작은 내수침수 해석 모듈에 적용되고 ERG항의 생성도를 범위를 변화시켜서 침수에 대한 민감도를 분석한다. 이를 통해 도시에서의 표고와 수위를 비교하여 침수지역과 비침수지역을 구분하여 침수구역 산정의 정확성을 향상시킨다. 차후에는 내수침수와 외수범람의 개별적인 모의를 통하여 개별 산정한 침수해석값과 복합요인에 의한 침수해석값을 비교하고자 한다.

• Research in Plant Disease
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• v.8 no.4
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• pp.199-206
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• 2002

It was investigated on the relationship of the rice blast epidemics and the real-time meteorological factors, at the experimental paddy field in 1997. Weather factors(temperature, relative humidity, irradiation, precipitation, the direction of wind, wind speed, soil temperature and leaf-wetness, etc) were measured by using the automated weather station. The most influenced weather factor to blast epidemics, was the average max-temp($R^2$= 0.95) during 10 days before leaf blast epidemics, while the least thing was wind speed($R^2$= 0.24). The most potential weather factors correlated with the blast epidemics were T-ave(average temperature), T-max(maximum temperature), RH(Relative Humidity) and RD(Relative Humidity > 90% hrs). A statistics model(the regression equation) of the blast epidemics with the potential weather factors, was established as tallows ; Y = -3410.91 - 23.91 $\times$ T-ave ＋ 28.56 $\times$ T-max ＋ 41.0 $\times$ RH - 3.75 $\times$ RD, ($R^2$= 0.99). (T-ave >= 19$^{\circ}C$, T-max - T-ave >= 5.2$^{\circ}C$ and RH% >= 90.4%). According to the fitness test($\chi$$^2$) of the model, the observed blast disease severity was quite close to those expected.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.223-236
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• 2015

This study dealt with regional characteristics in car insurance for reduction of traffic accidents. The objective was to establish scientifically the verification procedure in the application of regional auto insurance rate. To specify the objective, this study conducts the correlation analysis between factors which are various in each local traffic environment and the loss ratio in automobile insurance. Also, this provides a correlation and a modal in loss ratio, classifying human factors in locality in major cause result from traffic accident. Based on the results, this brings up the problems with applying a uniform criterion for automobile insurance rate although various factors have effect on traffic accidents in locality. Therefore, what stands out most from this study is that a policy on automobile insurance applied to regional factor should be introduced.

• The Journal of Society for e-Business Studies
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• v.11 no.2
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• pp.49-69
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• 2006

The virtual community has been recognized as an effective marketing tool and has been an important motive of using internet to Internet users, but very few attempts have been done for the development of virtual community success. Although many studies have been made on influencing factors of virtual community success, the comprehensive studies have never been done so far. Therefore, this study focused on developing the comprehensive model and verifying empirically. This study proposed five influencing factors(Virtual Community Operational factor, Characteristics of Users, Usefulness, Trust, Commitment) that affect virtual community success and three success factors(Sense of Virtual Community, Loyalty, Purchasing Intention) by carrying out literature review extensively and suggesting the relationship among factors. The relationship among factors were empirically validated by structural equation modeling. The data used in this study were collected from 292 users of the existing virtual communities. As the result of statistical analysis. It was found that Virtual Community Operational Factor and Characteristics of Users statistically significantly influenced Virtual Community Success. Also, it was shown that the intervening effects of Usefulness, Trust and Commitment were statistically significant, but that the relationship between commitment and Loyalty was not statistically significant. Finally, it turned out that the causality among success variables of Virtual Community was supported, but that sense of Virtual Community was required to be measured by new measurements.

• Korean Journal of School Psychology
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• v.17 no.1
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• pp.17-38
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• 2020

This study examined the factor structure of the Child Behavior Checklist Dysregulation Profile(CBCL-DP) for school-aged children in Korea identified differences in the level of maladjustment and problematic behaviors between the clinical group which had characteristics of CBCL-DP and the control group which did not. Confirmative factor analysis was performed on three alternative models from the literature to determine which was the most appropriate factor structure for the CBCL-DP. The result showed that the bi-factor model fit the sample data better than both the one and second-factor models. To confirm that the bi-factor model was the most appropriate factor structure, regression paths with relevant variables examined. The showed that CBCL-DP with the bi-factor model was associated with executive function difficulty as reported by parents and with school adjustment and all sub-factors of strength and difficulty as reported by teachers. The results also showed that this model had a different relationship with anxiety/depression, aggressive behavior, and attention problems than the other models. The clinical group was shown to have more executive function difficulty, worse adjustment of school life and to be less likely to engage in desired behaviors than the control group. These results indicate the CBCL-DP is more related to negative outcomes than any other factor, and that the bi-factor model was found to best fit the sample data, consistent with other studies. The early discovery of CBCL-DP can be used to provide interventions for high-risk children who exhibit emotional and behavioral problems, making its detection a significant diagnostic tool. The implications of these result, the limitations of this study, and areas for future research are discussed in this paper.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.764-769
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• 2009

하천과 바다가 만나는 하구는 자연적인 기능 뿐만 아니라 공학적인 측면에서도 매우 중요한 자원이다. 우리나라는 국토의 개발에 따른 용수 사용의 증가, 홍수재해대책 등으로 인해 한강을 제외한 4대강에 하구둑을 건설하였으며 강물과 바닷물을 인위적으로 차단하는 구조물이므로 하천의 생태적인 기능을 손상시키는 것은 불가피 하다. 하지만 이러한 단점에도 불구하고 하구둑이 건설되는 가장 큰 목적 중의 하나는 주변지역의 안정된 용수공급이다. 1987년에 완공된 낙동강 하구둑은 건설 이 후 약 20년 동안 안정된 용수공급과 효율적 운영으로 관리되어 왔지만 그동안 기상 및 수리 수문뿐만 아니라 환경적으로 크고 작은 변화가 있었다. 하천의 기수역인 하구에서 유체는 하구둑이라는 구조물이 존재하지 않을 때도 매우 복잡하게 거동한다. 하천의 유량, 지형학적 요소 그리고 조위의 상태 등 여러 가지 요인으로 인하여 비정상적으로 변화하며 이러한 하구에서 유체의 거동을 보다 더 정확하게 묘사하려면 흐름방향, 수심방향, 하폭방향의 3차원적인 해석이 필요하다. 하지만 하천과 바다를 밀도가 같은 하나의 상으로 가정하고 수행한 수문학적인 분석이나 1 2차원 수치모형을 활용한 수리 분석 결과는 시간적 공간적으로 경제적이고 양호한 결과를 산출해낼 수 있다. 본 연구에서는 낙동강 하구둑의 수리특성을 분석하기 위하여 미국 기상청의 홍수추적모형인 FLDWAV 모형과 미수로국(WES)의 2차원 유한요소 모형인 RMA-2 모형을 활용하였으며 낙동강유역 주요 수위관측소의 실측자료를 토대로 매개변수 검정을 실시하였다. 분석결과 조위가 고려된 2차원 유속장을 구현하였으며 하구둑 유지 관리 개선에 기여코자 하였다.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.27-35
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• 2018

This study aims to develop the scale for business effectiveness targeting microcredit users. For this, based on domestic preceding researchers empirically handling the microcredit and also focus group interviews with users and specialists, total 30 preliminary questions were composed. After that, conducting the exploratory factor analysis targeting 127 finally collected surveys, in the results of analysis, the scale validity of three factors and 24 questions was verified. Also, considering the goodness-of-fit of model through the confirmatory factor analysis, the effectiveness scale of microcredit business was determined. The concrete factors included 5 questions of the store operation, 3 questions of business start-up satisfaction, and 16 questions of management competency. Lastly, based on the effectiveness scale of business developed by this study, the research direction and the practical development direction of microcredit was suggested.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.145-155
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• 2010

As the green transportation mode, revitalization of bike usage attracts remarkable public attention. For the acquirement of effective outcome, however, the concrete and close analysis about bike utilization characteristics should be arranged first. One result by MLTM(2009) is support this opinion; the bike mode share has been decreased whereas 9,170km of the bicycle path was improved(1995~2007). This study analyzed the bike mode share classified by trip types by using the 303,308 data of Household Travel Survey of Seoul Metropolitan Area, 2006. The highest mode share rate was induced by the institute attendee and Officetel resident as 3.75% and 3.13%, respectively. Also this study established the bike mode share estimation model of Seoul by logistic regression, and analyzed related factors and level of effectiveness related bike demand by calculation of odds ratio in terms of logistic regression coefficients. In conclusion, short trips, institutes district, parks, and Officetel residential area oriented policy should be effective on the revitalization of bike usage.

• Communications of Mathematical Education
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• v.34 no.3
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• pp.325-354
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• 2020

This study utilized longitudinal data from the 2013 year (Secondary Middle School) to 2017 year (Secondary High School) of the Seoul Education Termination Study. Using the latent growth model and the piecewise growth model, we investigated the changes in mathematics academic achievement, internal factors(self-concept, self-control, self-assessment of life satisfaction), and external factors(school climate, guardians) as students' grades increased, and examined whether internal factors and external factors influence the changes in mathematics academic achievement. We examined whether internal and external factors influence the change in academic achievement. As a result of analysis, it was found that mathematics academic achievement remained unchanged from the first grade of middle school to the second grade of middle school, and steadily increased from the second grade of middle school to the first grade of high school, and then decreased slightly in the second grade of high school. The internal and external factors had little change. It has been found that self-concept, self-control as internal factors, and school climate as external factors influence changes in mathematics academic achievement.