• Journal of Industrial Convergence
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• v.22 no.5
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• pp.107-116
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• 2024

This study is a descriptive research study to determine the extent to which end-of-life care stress, death awareness, and prior decision-making attitudes of nurses at a hospice and palliative nursing institution have an impact on end-of-life care performance. The subjects of this study were 200 nurses working at a hospice and palliative nursing institution. Data collection for this study was conducted from August 9 to September 30, 2021, using two methods: written questionnaire and internet survey. The data analysis method used Pearson's correlation coefficient to analyze the relationship between the subjects' end-of-life care stress, death awareness, prior decision-making attitude, and end-of-life care performance. Hierarchical Regression was used to identify factors affecting the subject's end-of-life care performance. The results of this study showed a significant correlation between end-of-life care performance and death awareness (r=.22, p=.002), and end-of-life care performance and prior decision-making attitude (r=.20, p=.004). And prior decision-making attitude and death awareness had a significant impact on end-of-life care performance. As death awareness and prior decision-making attitudes increased, end-of-life care performance increased, and end-of-life care stress did not appear to be a statistically significant factor influencing end-of-life care performance. In order to improve hospice nurses' ability to provide end-of-life care, intervention that takes into account the influencing factors is required.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.131-140
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• 2023

This study aims to investigate the impact of pre-service early childhood teachers' civic awareness and multicultural beliefs on their ability to teach democratic citizenship education and to verify the mediating effect of multicultural beliefs in the relationship between civic awareness and the ability to teach democratic citizenship education. The subjects of the study were 226 pre-service early childhood teachers, and a survey was conducted. As a result of the study, first, the civic awareness of pre-service early childhood teachers influenced the ability to teach democratic citizenship education, and the influence of the sub-variables of civic awareness was in the order of rights awareness, responsibility, community awareness, and rational decision-making awareness. Second, the multicultural beliefs of pre-service early childhood teachers also affected the ability to teach democratic citizenship education, and multicultural understanding had the strongest influence among the sub-variables of multicultural beliefs. Thirdly, we found that multicultural beliefs partially mediated the relationship between civic awareness and the ability to teach democratic citizenship education. Additionally, the results highlight the importance of educational interventions targeting multicultural beliefs, as they partially mediate the relationship between civic awareness and the ability to teach democratic citizenship education.

• Nuclear Engineering and Technology
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• v.47 no.5
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• pp.624-632
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• 2015

A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

• International Journal of High-Rise Buildings
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• v.12 no.3
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

• Korea Science and Art Forum
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• v.23
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• pp.149-162
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• 2016

Here are background, method, scope, main contents of this research. As the interests increased in recent about the construction in complex and diverse areas, construction is locally connected to human life like to coexistence of the technology and culture. The local development should not be fragmentary construction to improve local recycling ability. Local society should be inherited by modern cultural perspective through a variety of local culture and coexistence. Effective decision making analysis is necessary to build a livable area with a combination of high-tech industry. For this reason, this paper will study the political analysis for decision making at the planning stage of construction in point of fusion of technology and culture by using unstructured data analysis. Conclusion is as in the following. Local planning stage of construction describes diverse meanings of intangible and intangible factors as political factor. Technology factors have various qualitative and quantitative factors in construction field. Understanding decision making at the planning stage of construction means not only visible 'technology factor' such as structure, method, shape, and so on, but also invisible 'culture factor' such as spirit of age, religion, learning, and life-style reflected in formation process of space, and insight of brain power about art.

• Korean Management Science Review
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• v.21 no.2
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• pp.191-213
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• 2004

This study addresses the evaluation criteria of multimedia authoring tools(MATs), the way which decision-maker can exclude outlier matrix from group using the concept of the compatibility index, and how AHP can be applied to the selection of MATs in a group decision-making environment. The AHP technique allows an evaluator to quantify the relative importance of elements at each hierarchy and to calculate the composite relative weights for each product(i.e. MATs). This decision process allows setting to priority of the MATs based on the AHP. The results indicated that technical ability of MATs was the most significant factor in affecting their decision, trailed by managerial efficiency and vendor support. To the experts, multimedia data support was the less important than development interface. Also, the results indicated that product A(0.510) was their first choice, trailed by product C(0.286) and B(0.204). Assessing the composite relative weights revealed that expert group's members were consistent with the rankings of decision variables(evaluation criteria variables) statistically in selecting their MATs. Therefore, we believed that expert group's members have achieved sufficient agreement to permit the use of geometric mean to average the group's preference without obscuring the differences of individual opinions.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.213-216
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• 2015

Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.

• Journal of muscle and joint health
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• v.29 no.2
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• pp.124-132
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• 2022

Purpose: The purpose of this study was to investigate the relationships among critical thinking disposition, problem solving ability, and triage competency in nurses working in Emergency Rooms (ERs). Methods: This cross-sectional study, conducted in August and September 2021, involved 118 ER nurses from three hospitals in the Gyeonggi-do metropolitan area. The data were analyzed using t-test, ANOVA, Scheffé test, Pearson correlation coefficients, and multiple linear regression analysis using SPSS for Windows version 25.0. Results: The mean score of triage competency among ER nurses was 87.63±15.65. In the regression model, age, ER experience, triage experience, critical thinking disposition, and problem solving ability predicted 52% of the triage competency. Both critical thinking disposition and problem-solving ability were noted to be significant (β=.32, p<.001; β=.36, p<.001, respectively). Conclusion: Critical thinking disposition and problem solving ability of ER nurses were identified as major factors in triage competency. To improve ER nurses' triage competency and enhance critical thinking disposition and problem solving ability, a systematic and ongoing program should be developed and implemented.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.187-194
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• 1999

Case-Based Reasoning(CBR) systems support ill structured decision-making. The measure of the success of a CBR system depends on its ability to retrieve the most relevant previous cases in support of the solution of a new case. One of the methodologies widely used in existing CBR systems to retrieve previous cases is that of the Nearest Neighbor(NN) matching function. The NN matching function is based on assumptions of the independence of attributes in previous case and the availability of rules and procedures for matching.(omitted)

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.144-145
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• 2010

VTM is regarded as a core element in e-Navigation under developing by IMO. IMO's e-Navigation aims for VTM which could provide more navigational information for ships and provide more active VTS services for safe and efficient marine traffic environment. To be successful for VTM under e-Navigation, VTS operator's experience and ability for carrying out VTM tasks are essential. In this study, Decision-making support system for VTS operators are designed conceptually which support VTS operators' VTM tasks by providing informations on traffic risk, and predicted behaviour of ships. This paper describes a designed system with design concept, main functions, main elements and necessary technologies to be developed.