• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.153-168
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• 2009

Many companies and governments perform information technology (IT) projections repeatedly for higher competitiveness and efficiency. Moreover, as the sizes of IT projects increase, the manpower and cost estimation of the projects are getting more important. In this research, we present a size estimation method of information system development projects on the basis of the function point method at the stage of information strategy planning(ISP), and illustrate the size calculation of an example IT project. According to the method, we first identify the types of projects, the scope and boundaries of size estimation, then count data and transaction functions from the artifacts of the ISP project. The unadjusted function points are adjusted to function point by the table of the Early Function Point. The way of calculating the sizes of IT projects will support successful IT projects by estimating reasonable manpower and cost for the projects.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.423-440
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• 2010

The purpose of this paper is to prepare the department creation and the staff increase of education institution by forecasting the demand of health and welfare workers according to execution of the elderly's long-terms treatment insurance system in July, 2008. We estimated confirmors of the elderly's long-terms treatment and the demand of professional workers of health and welfare field due to the increase of care insurance users in facilities treatment organization, care at home service facilities, and family allowance facilities for 2010-2030. The numbers of social welfare professional worker are estimated as 16,624 workers in 2020 and 24,688 workers in 2030. The numbers of nurses are forecasted as 11.287 in 2020 and 16,624 in 2030, we expect that the increase of the demand be accelerated. The demand of necessary care probation worker is 44,824 in 2009, but we already trained over around 500,000 workers in 1,078 education institutions through one year in Aug. 31, 2009, which excesses over the numbers of workers demanded as much as 10 times.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.345-345
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• 2022

기후변화의 영향으로 도시하천의 홍수피해가 증가추세이며, 여름철 돌발호우 발생으로 하천내 고립사고 피해가 빈번히 발생하고 있다. 특히 중·소규모 도시하천은 홍수유출 도달시간이 매우 짧고 수위가 급격히 상승하여 돌발호우에 매우 취약하므로, 정확한 홍수발생 가능성 및 시점 예측을 통한 신속한 홍수 예·경보가 필요하다. 따라서 본 연구에서는 강우강도, 강우시간분포, 강우지속시간 등에 따른 홍수발생여부 뿐만 아니라 홍수발생시간을 예측할 수 있는 Flooding Time Nomograph (FTN)를 개발하였다. 본 연구의 대상유역은 도림천 유역으로, FTN 개발을 위하여 도시하천의 강우-유출모의에 적합한 XP-SWMM 모형을 구축하여 활용하였다. 또한 Huff의 4분위 강우분포를 이용한 다양한 형태의 가상 강우시나리오를 설정하여 강우유출모의를 수행하였으며, 모의결과를 기반으로 강우강도와 홍수발생시간의 관계식을 산정하여 FTN을 생성하였다. 실제 호우 사상에 대한 관측 홍수발생시간과의 비교를 통해 FTN의 적용성을 평가한 결과, 상관계수 CC=0.8, NSE=0.6 이상으로 높은 정확도를 보이는 것으로 나타났으며, 강우발생 시 둔치수위 도달 홍수위 기준 최대 30분의 사전 대피시간 확보가 가능함을 확인하였다. 따라서 본 연구에서 개발한 FTN을 이용한 도시하천의 홍수 예·경보 시스템 구축의 경우, 강우정보에 따른 홍수발생여부 및 홍수발생시간을 합리적으로 판단할 수 있어, 둔치 수위 예·경보 등 보다 신속한 상황대응이 가능할 것으로 사료된다.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.301-315
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• 2019

This study's aim was to prove the mediating effects of the life satisfaction and the depression in the path which the social participant has predicted the suicide ideation of the elderly. To do so, a total of 1,429 cases above 65 years old were selected as a analysis object form the Seoul Welfare Pannel Data(2010). And this study has applied the Structural Equation Modeling of AMOS 18.0 as analysis method. The analysis results were as below through presented analysis method. Firstly, this study has proved the effect of the direct path that the social participant predicted the depression of the elderly. Secondly, this study has demonstrated the effect of the mediating paths through the life satisfaction and the depression. On the basis of presented analysis results, this study proposed the intervention plan about the suicide of the elderly and the suggestion for follow-up study.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.155-168
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• 2018

In this study, we studied the directional pattern of entering the intersection from the intersection upstream link prior to predicting short future (such as 5 or 10 minutes) intersection direction traffic volume on the interrupted flow, and examined the possibility of traffic volume prediction using traffic assignment model. The analysis method of this study is to investigate the similarity of patterns by performing cluster analysis with the ratio of traffic volume by intersection direction divided by 2 hours using taxi DTG (Digital Tachograph) data (1 week). Also, for linking with the result of the traffic assignment model, this study compares the impact area of 5 minutes or 10 minutes from the center of the intersection with the analysis result of taxi DTG data. To do this, we have developed an algorithm to set the impact area of intersection, using the taxi DTG data and traffic assignment model. As a result of the analysis, the intersection entry pattern of the taxi is grouped into 12, and the Cubic Clustering Criterion indicating the confidence level of clustering is 6.92. As a result of correlation analysis with the impact area of the traffic assignment model, the correlation coefficient for the impact area of 5 minutes was analyzed as 0.86, and significant results were obtained. However, it was analyzed that the correlation coefficient is slightly lowered to 0.69 in the impact area of 10 minutes from the center of the intersection, but this was due to insufficient accuracy of O/D (Origin/Destination) travel and network data. In future, if accuracy of traffic network and accuracy of O/D traffic by time are improved, it is expected that it will be able to utilize traffic volume data calculated from traffic assignment model when controlling traffic signals at intersections.

• Journal of Korea Spatial Information System Society
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• v.10 no.3
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• pp.93-106
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• 2008

For agriculture is very highly dependent on climate and weather condistions, global warming seems to have a great impact on it, including its productivity, cultivation condition, product quality, and optimum cultivation location. In this study, we adopted geographical information system (GIS) in order to investigate the changes of Korea's cultivation area which are caused by global warming, especially with the examples of such tropical and sub-tropical fruits as lemon, fig, kiwi, orange, pomegranate, and mandarin. In terms of GIS techniques, we utilized the interpolate function for temperature changes, surface analysis function for slope, and raster calculator. Currently, these fruits's cultivation areas are in Jeju island and southern part of Korea. But these areas will be expanded according as our GIS model assumes $3^{\circ}C$ and $4.5^{\circ}$ increases of average and lowest temperature by the global warming in Korea. Optimum cultivation areas of these six fruits have two patterns; one is expansion and the other is belt shape shift. From the results of the study, we call for an urgent need of Korea government's policy and farmers' reasonable responses about global warming, which will be able to give more opportunities and better foods to Korea society in general.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.51-61
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• 2010

According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.5
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• pp.492-501
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• 2007

Coastal disasters have become one of the most important issues in every coastal country. In Korea, coastal disasters such as storm surge, sea level rise and extreme weather have placed many coastal regions in danger of being exposed or damaged during subsequent storms and gradual shoreline retreat. A storm surge is an onshore gush of water associated with a tow pressure weather system, typically in typhoon season. However, it is very difficult to predict storm surge height and inundation due to the irregularity of the course and intensity of a typhoon. To provide a new scheme of typhoon damage prediction model, the scenario which changes the central pressure, the maximum wind radius, the track and the proceeding speed by corresponding previous typhoon database, was composed. The virtual typhoon scenario database was constructed with individual scenario simulation and evaluation, in which it extracted the result from the scenario database of information of the hereafter typhoon and information due to climate change. This virtual typhoon scenario database will apply damage prediction information about a typhoon. This study performed construction and analysis of the simulation system with the storm surge/coastal inundation model at Masan coastal areas, and applied method for predicting using the scenario of the storm surge.

• International Area Studies Review
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• v.13 no.3
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• pp.287-308
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• 2009

This article examines the distributional characteristics of the return of Chinese stock market indices. The majority of previous empirical researches have tended to focus upon the simple stock market index. However, this study focuses on the four indices which represent the characteristics of each stock market index. The empirical findings indicate that the returns of the four chinese indices are not normally distributed at conventional levels. The Ljimg-Box -statistics indicate the returns of the index of A shares are not serially autocorrelated. However, the returns of the index of B shares are serially autocorrelated. The empirical findings also indicate returns of the four chinese indices are not serially autocorrelated. The statistics of Regression Specification Error Test and ARCH indicate the returns of all four indices are not serially linear. The findings also indicate that E- GARCH model is the most fittest model for the returns of the four chinese indices and the forecast error can be reduced by using student t distribution rather normal distribution.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.1-23
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• 2021

The purpose of this study is to analyze the effects of the bestseller ranks on the book circulations in public libraries. To achieve this goal, the weekly data sets of 179 books' library circulation and bestseller list from January 1, 2018 to December 29, 2019 were constructed based on the data collected from BigData MarketC and YES24. Three methods for analyzing panel data including linear regression, fixed-effect, and random effect models were compared, and it turned out that fixed-effect model was better than other methods. The results show that the average ranks of bestsellers were associated with their public library circulations visually. Also, the analysis of fixed-effect model showed that the single rank decline of a book on the bestseller list decreases its average circulation of 0.108 while the size of effect varied depending on subject of books. The study empirically demonstrated the impact of a bestseller list on people's book circulation behavior, suggesting that public libraries need to reference sociocultural context as well as bestseller book lists to predict library user needs and to formulate collection development policy.