• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.41-46
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• 2010

The latest multi-dimension spatial information technology is emerging its importance as material for carrying out efficient facilities management's supporting business about numerous facilities inside a university, budgeting decision-making supporting business such as operating expenses' budgeting and management, etc. and admission advertisement, etc. Accordingly, the present study selected an optimal location that can maximize spatial utilization of a building to be newly built by constructing multi-dimension spatial information for facilities management of a university, and executed a site suitability analysis according to transfer of a university symbol and a landscape analysis, etc. according to external environment change. As a result, it appeared that the effects such as prevention of duplicate investment and budget saving, etc. due to university's comfortable spatial composition and systematic comprehensive development & budgeting or decision-making support in case of execution, etc. caused by rationalization of facilities plan & management can be maximized.

• Journal of the Korea Institute of Building Construction
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• v.15 no.4
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• pp.405-412
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• 2015

The procurement of public construction, which has been selected mainly on the basis of the work experience of a department of public agencies that award construction contracts or those in charge of ordering, has not been executed through an objective selection process considering the construction types or characteristics. Thus, as a preliminary study on developing a model for the selection of contract methods, this study intends to analyze and present the key factors affecting the selection of procurement methods in public construction. Through a literature review on the existing methods, foundational factors were first presented, based on the analysis of these factors, the final influence factors were proposed. As a result, 6 factors contractor's characteristics, the environment of the construction market, relevant organization, the characteristics of a project, costs, and responsibility factors were determined, and 14 sub-factors were selected. The factors presented in this study will be used as base data for developing a decision making support model for the selection of contract methods in public construction.

• Journal of Korean Public Health Nursing
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• v.24 no.2
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• pp.237-248
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• 2010

Purpose: The study assessed the effects of a 12-session empowering program to promote health quality of life, decision making self-efficacy, self-care competency, and reasonable medical care utilization among low income women households in one rural area. Methods: A quasi-experimental, one-group pre-posttest design was employed. A total of 28 women enrolled as medicaid recipients in the Public Health Center of W city agreed to participate. The empowering program consisted of 12 sessions addressing health education for self-care of disease, medication management, and counseling for psycho-social support. The intervention was delivered by five nurses and one social worker. Women completed a structured questionnaire measuring the study variables with demographic characteristic before and after the intervention. Data were analyzed by PAWS Statistics 17 utilizing descriptive statistics and paired t-test. Results: After the intervention, significant increases were evident in participant health quality of life (t=-5.83, p<.001), decision making self-efficacy (t=-4.86, p<.001), self-care competency (t=-8.16, p<.001), and reasonable medical care utilization (t=-3.97, p<.001). Conclusion: The 12-session empowering program on health quality of life as well as self-care competency was effective when delivered to low income women households. Further studies with larger numbers of participants and a control group are necessary to validate the results.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.1
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• pp.65-74
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• 2011

To establish governance, which is rising as the new urban management system, it is significant to prepare Good-Local governance model that is proper to regional conditions and characteristics. This study analyzes changes in influence of governance participants appeared during the process in ecological park in Chungju Won-heung, using new methodology comparing ideal form and real condition regarding the influence of decision making, which is the key factor of governance. The result of this study showed that influence in participation of governance decision making improved gradually and this developed as Good-Local governance decision making by developing consultation regarding the new regional issue when it comes to operation and management. For further study, general model needs to be established through applying and analyzing suggested analysis method to various governance cases to evaluate the level of influence, which is the key component.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.620-629
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• 2019

An automated minutes summary system is required to objectively summarize and classify the contents of discussions or discussions for decision making. This paper designs and implements a minutes summary system using word2vec model to complement the existing minutes summary system. The proposed system is further implemented with word2vec model to remove index words during morpheme analysis and to extract representative sentences with common opinions from documents. The proposed system automatically classifies documents collected during the meeting process and extracts representative sentences representing the agenda among various opinions. The conference host can quickly identify and manage all the agendas discussed at the meeting through the proposal system. The proposed system analyzes various agendas of large-scale debates or discussions and summarizes sentences that can be representative opinions to support fast and accurate decision making.

• The Journal of Information Systems
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• v.29 no.2
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• The Journal of Information Technology and Database
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• v.8 no.2
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• pp.137-159
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• 2001

This study provides a thorough methodology for IT Investment evaluation. A software tool to support the evaluation process was introduced along with a case study. The software supports the methodology that consists of 7 phases : Target analysis, ldentifying IT measures, Measuring IT impact, Assessing business value, Analyzing the decree of realization, Cost-benefit analysis, and Reporting. The case study showed that the software (CAFA) was a very useful tool supporting both decision-making and post-implementation reviews of IT investment.

• Proceedings of the KSR Conference
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• 2002.05a
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• pp.53-60
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• 2002

This paper introduces KTX RCM(Reliability-Centered Maintenance) project which is for development of a decision making support system on the KTX maintenance framework. The functionality of the system is composed of ( i ) Fundamental Data Management, ( ⅱ ) Maintenance Goal Management, ( ⅲ ) Maintenance Program Management, ( ⅳ ) Cost-Effect Analysis, ( v ) Parameter Management. This system may improve existing maintenance Management procedure for rolling stock of KNR.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.455-457
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• 2003

Diverse researches are working moving objects. The most important activities in a moving object database system are query and analysis of spatio -temporal data providing decision-making and problem solving support. Traditional spatial database query language and tools are inappropriate of the real world entities. This paper presents a spatio-temporal query and analysis tool with visual environment. It provides effective, interactive and user-friendly as well as statistic analysis. The moving objects database system stores plentiful moving objects data and performs spatio-temporal and nonspatio-temporal queries.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.460-461
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• 2005