• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.139-149
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• 2015

Purpose: This study aims to analyze the factors affecting the agenda-setting process and the formation process of school-based mental health policies by applying a policy stream model. Methods: For this purpose, Kingdon's policy stream model was used as the analytical framework. Results: First, when establishing a school-based mental health policy, the agenda was set going through unpredictable and nonlinear changes. Second, for the school-based mental health policy to be selected onto the agenda and to be developed and implemented as an actual policy, the role of policy makers was considered most important in the process. Third, the policy window for school-based mental health policy was closed around the year 2013. Finally, an analysis of the school-based mental health policy stream identified two key features. One is that the school-based mental health policy first emerged when school violence prevention policy expanded its scope into relevant neighboring policies. The other is that the school-based mental health policy has taken shape through a linear decision-making process (being put on the government's agenda, searching for an alternative, selection, and implementation) during the policy implementation period after it has been selected as an alternative policy. Conclusion: Conclusions can be summed up as follows. The school-based mental health policy needs continuous development and improvement in case the window for the policy may open in the coming future. The government's support is needed to draw policy makers' interest and participation who play the biggest role in establishing policies.

• Nuclear Engineering and Technology
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• v.50 no.3
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• pp.396-410
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• 2018

To assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodology should be available and used. A reliable fault diagnosis method is beneficial for the safety of nuclear power plants. The major idea proposed in this work is integrating the merits of different fault diagnosis methodologies to offset their obvious disadvantages and enhance the accuracy and credibility of on-line fault diagnosis. This methodology uses the principle component analysis-based model and multi-flow model to diagnose fault type. To ensure the accuracy of results from the multi-flow model, a mechanical simulation model is implemented to do the quantitative calculation. More significantly, mechanism simulation is implemented to provide training data with fault signatures. Furthermore, one of the distance formulas in similarity measurement-Mahalanobis distance-is applied for on-line failure degree evaluation. The performance of this methodology was evaluated by applying it to the reactor coolant system of a pressurized water reactor. The results of simulation analysis show the effectiveness and accuracy of this methodology, leading to better confidence of it being integrated as a part of the computerized operator support system to assist operators in decision-making.

• The Plant Pathology Journal
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• v.31 no.4
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• pp.350-362
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• 2015

A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named 'BGRcast', determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998-2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, $C_i$, based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of $C_i$ was calculated for the inoculum build-up phase ($C_{inf}$) and the infection phase ($C_{inc}$). The $C_{inc}$ and $C_{inf}$ were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of $C_{inc}=0.3$ and $C_{inf}=0.5$, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the preand post-heading stage.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.39-46
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• 2009

The purpose of this study is to compare and analyze the organizations for responses in disaster fields to cope with large-scaled disasters including Emergency Management Agency, Emergency Response Unit, Emergency Support Center, and Field Command Center (Field Command Office). According to the results of the analysis, the problems of the organizations for responses in local disaster fields are; 1) the scopes of roles among the organizations for responses in disaster fields are ambiguous, 2) the structures of the organizations for responses in disasters are different each other, 3) the integrated management functions among the organizations for responses in disasters are overlapped, and 4) the one who assumes the integrated command is not defined. In order to improve the problems, first, the range of working of each organization for responses in local disaster fields should be definitely established and an agreement in services among the organizations should be settled in advance. Second, similar designs in the structure among the organizations for responses in disasters are necessary for amicable communication. Third, the works for integration and management for each organization for responses should be apportioned. Fourth, the organization in charge and the one who assumes the integrated command for each type of disasters should be appointed in advance for rapid decision-making.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3058-3068
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• 2014

This experimental research is aimed to apply a health promotion program based on Cox's interaction model to such college students as are on the brink of dyslipidemia, so as to investigate the effects of the program on the subjects' blood lipid indexes including total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoproteins (LDL). The subjects are 39 in all including the experimental group comprising 20 and the control group comprising 19. The analyses applied include descriptive statistics using SPSS WIN 18.0, $X^2$-test, independent t-test, and paired t-test. By means of nursing interventions which are an element of client-professional interaction, the following were offered including health information (exercise management, dietary management, health education), emotional support (sharing of experiences, encouragement, self expression), decision-making controlling (counselling by phone), and professional/ technical abilities; and blood lipid indexes were measured before and after the interventions. The results of this research found that TC, TG and LDL decreased significantly and HDL increased significantly in the experimental group, which indicates that the health promotion program was effective.

• The Journal of Industrial Distribution & Business
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• v.5 no.4
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• pp.31-42
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• 2014

Purpose - According to the applied studies knowledge, management implementation can improve organizational performance. The main objective of this study is to develop an understanding of critical success factors that enhance the successful implementation of knowledge management. Research design, data, and methodology - This study used Analytical Hierarchy Procedure (AHP), which is a multi-criteria decision making model that works on fuzzy logic. Using this method, researchers can find the proportion of success due to the contribution of the critical success factors (CSFs). Results - The results show that more than 70% of respondents indicate the possibility of success in knowledge management implementation. Further, the results show that top management support has the greatest relationship with the success of knowledge management implementation. This was followed by information technology, performance measurement, and culture, which had a high relation with knowledge management success. Process and activities have a moderate positive relation, while education and training has a low relation with success. Because of an inappropriate p-value, knowledge management strategies show no relation to the success of knowledge management in the Iranian health Industry. Conclusions - This study was conducted because of a critical issue in the Iranian health industry that indicated that a significant portion of the workforce would retire in 5 to 10 years. Most highly experienced and knowledge oriented employees would become eligible for retirement. Therefore, knowledge management is presented as a complete solution in the Iranian health sector.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.205-211
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• 2008

The river management in Korea had been focused on line based 2D spatial data for the developing river management application system. In this study, the polygon based 3D spatial data such as aerial photos and satellite images were selected and used through comparing their resolution levels for the river environment management. In addition, 1m detailed DEM (Digital Elevation Model) was constructed to implement the real topography information around river so that the damage area scale could be extracted for flood disaster. Also, the social environment thematic maps such as a cadastral map or land cover map could be used to verify the real damage area scale by overlay analysis on aerial photos or satellite images. The construction of these spatial data makes possible to present the real surface information and extract quantitative analysis to support the scientific decision making for establishing the river management policy. For the further study, the lidar surveying data will be considered as the very useful data by offering the real height information of riverbed as the depth of river so that flood simulation can give more reality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.11-21
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• 2015

In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target's moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target's tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets' moving pattern. These move by foot and because terrain has a great effect on the target's movement, they generally travel along a constrained path. With the ideas based on the terrain's effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target's moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher's mission planning, but also to support the tactical commander's timely decision making ability and ensure the operations' success.

• STI Policy Review
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• v.8 no.2
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• pp.23-48
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• 2017

This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.241-254
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• 2013

The purpose of this study is to analyse the effects of social network service on the collaborative learning. Four groups were categorized depending on the use of different types of the social network services - Kakao Talk, Facebook, both Kakao Talk and Facebook, and unused group. A preliminary test revealed that there was no difference in mobile efficacy, career decision making self-efficacy, course interest among the four groups. In the post test, the groups that used either Kakao Talk group or the group that used both Kakao Talk and Facebook retained significantly higher average score in team collaboration scale than Facebook group and unused group. The analysis of the messages in Facebook exhibited that the group used both Kakao Talk and Facebook generated larger number of messages, read, replies, clicks of "good" than the groups used only Facebook. These results strongly support the statistical significance.