• Korea Journal of Hospital Management
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• v.20 no.2
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• pp.1-14
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• 2015

Purpose : The aim of this article is to describe the nurses' experiential learning mechanism on patient safety. Methods : To analyze nurses' learning experiences on patient safety cases, a focus-group interview method was used. The Kolb's experiential learning model was used as a reference model. Findings : Without deep reflective reasoning about specific experiences, there is no creative or innovative solutions to experiment actively. Nurses are likely to be reluctant learners when there is no systemic support from formal departments which is in charge of patient safety and quality of care. Conclusion : In order to build patient safety culture in hospital, there should be efforts to make nurses as active learners on patient safety as well as to build learning environments in medical units.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.224-225
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• 2019

Virtual reality technology can be defined as human-computer interface that makes virtual place of specific environments or situation is an interactive computer-generated experience taking place within a simulated environment. In order to combine virtual reality technology of domestic nuclear power industry, the R&D Project has been developing a virtual/augment reality system for nuclear power plant from April 2018 to March 2021. To effectively apply virtual reality technology of domestic nuclear industry, it is necessary to build virtual space similar to real environment. Therefore, This study is analysed 3d model status for nuclear power plant during the life-cycle, and suggested a method to build 3D cad model close to real environment.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.330-334
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• 2011

Build-operate-transfer (BOT) projects are privatized infrastructure undertakings that face long-term investment risks and uncertainties. To ensure these projects can be completed on time and operated according to performance specifications, governments usually require BOT concessionaires to furnish performance bonds as a security. However, in order to attract investment, governments often provide abandonment rights for concessionaires to deal with investment risks and uncertainties. In the context of real options, these abandonment rights will increase project value, but the furnish of performance bonds will reduce this value. Currently in the BOT context, there is no real option model that can handle explicitly the impact of performance bonds on project value. In this paper, a real option valuation model is derived to deal with this important issue. The Taiwan high-speed rail project is used as a case study to show the applicability of the proposed model.

• Journal of Information Technology Applications and Management
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• v.12 no.4
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• pp.133-155
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• 2005

This Paper makes an attempt to suggest a process of automatically generating application software based on the Entity-Relationship model 1. The designer develops an E-R model of an real-world system. 2. The designer inputs the entity and relationship types, and attributes shown in the E-R model, and also the basic operations of the application system to the software generator. 3. The application generator produces database schema and link information between application programs, and then automatically generates a stereo-type application system. In order for the automated application generator to build the application system in a systematic way, four basic program generation rules have been suggested. A set of computer programs have been developed in order to show the applicability of the automated software generation process suggested in this paper. By following each rule with the generator, the designer can build an application in an efficient manner compared with traditional (manual programming) approaches. It has been demonstrated from the case study that the idea of applying an automated generator in systems development based upon the E-R model is feasible.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.1-24
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• 1999

Strategic alliance between corporations is essential to build a CALS system. Specially, companies cooperate one another to accomplish the shared environment in the system. During the construction of the CALS system, we can apply the concepts of ILS and SCM to develop the breadth and depth of shared environment between firms. In order to build such intended environment in the CALS system, we propose five dimensions with 30 variables to be considered. These dimensions are Information Sharing, Task Sharing, System Sharing, Parts and Facilities Sharing, and Institution Sharing. Structured interviews were peformed to measure the degree of shared environment designed in 7 CALS pilot systems in Korea. The results show that the level of the shared environment in the context of vertical relationships between firms in the CALS systems is fairly high. In contrast, the level of the sharing between competing companies in horizontal relationships is relatively low in most of the pilot systems.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.2121-2124
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• 2008

The total length of Korean railway network is about 3,300km. Since it is of great scale in system view point, the systemization of GIS-based information system requires so much cost and time. One of the difficulties is due to the fact that GIS-based information system requires the feature database for GIS, which is generally built manually from many as-built drawing files. In order to build-up the feature database for GIS with ease, this study suggests the automatic data conversion from electronic drawings to make feature database for GIS. The proposed method can be applied to build large-scale railway facility management system at lower cost.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.498-508
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• 2007

The Build-Transfer-Lease (BTL) projects have rapidly increased under the Government support during recent years. This paper presents the risk analysis of factors affecting BTL projects in the initial phase. This study resulted in 10 significant risk factors influencing on each phase of BTL projects and then factors were grouped into each phase. The sensitivity analysis was also performed to identify risk factors with more significant influence on BTL projects. The results may useful to practitioners in order to cope with risks in initial phase of BTL projects. The paper resulted in the distribution of risks to project parties, thus it can be used as standards for risk assignment to competent authorities and private enterprises of BTL projects.

• Journal of Korea Game Society
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• v.13 no.4
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• pp.25-34
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• 2013

Spatial partitioning trees are needed for processing collision detections efficiently. In order to select split planes for spatial partitioning trees, the tree balance and the number of polygons overlapped with the split plane should be considered. In this paper, the heuristic algorithm controlling weight values of tree build criteria is proposed for spatial partitioning trees of 3D games. As the weight values are changed, tree build time, T-junction elimination time which can cause visual artifacts in splitting polygons overlapped with the split plane, rendering speed (frame per second: FPS) according to tree balance are analysed under 3D game simulations.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.136-137
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• 2009

In this paper, we introduce UFSN(Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies and propose the energy harvesting system for UFSN.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.185-189
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• 2008

Practical pattern recognition systems should overcome very large class problem. Sometimes it is almost impossible to build every model for every class due to memory and time constraints. For this case, grouping similar models will be helpful. In this paper, we propose GMC(Group Model Clustering) to build a large class Chinese character recognition system. We built hidden Markov models for 10% of total classes, then classify the rest of classes into already trained group classes. Finally group models are trained using group model clustered data. Recognition is performed using only group models, in order to achieve reduced model size and improved recognition speed.