• 산업융합연구
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• 제22권5호
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• pp.107-116
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• 2024

본 연구는 호스피스 완화의료 전문기관 간호사의 임종간호스트레스, 죽음인식, 사전의사결정 태도가 임종간호수행에 미치는 영향 정도를 규명하기 위한 서술적 조사 연구이다. 본 연구의 대상자는 보건복지부로부터 호스피스 완화의료 전문기관으로 지정된 의료기관에 근무하는 호스피스 간호사 200명이다. 본 연구의 자료수집은 서면 설문지와 인터넷 설문조사 두가지 방법을 사용하여 2021년 8월 9일부터 9월 30일까지 이루어졌다. 자료분석방법은 대상자의 임종간호스트레스, 죽음인식, 사전의사결정 태도, 임종간호수행 간의 관계를 분석하기 위해 Pearson's correlation coefficient를 사용하였고 대상자의 임종간호수행에 영향을 미치는 요인을 파악하기 위해 Hierarchical Regression을 사용하였다. 본 연구결과 임종간호수행과 죽음인식(r=.22, p=.002), 임종간호수행과 사전의사결정 태도(r=.20, p=.004)는 유의한 상관관계를 나타냈다. 그리고 독립변수를 추가한 MODEL2에서 연령, 사전의사결정 태도, 죽음인식이 유의한 임종간호수행 영향요인이었으며 이들의 설명력은 10.4%이었다(F=3.90, p<.001). 호스피스 간호사의 임종간호스행 능력을 향상시키기 위해서는 그 영향요인을 고려한 중재가 요구된다.

• International Journal of Advanced Culture Technology
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• 제11권4호
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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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• 제47권5호
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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.

• 국제초고층학회논문집
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• 제12권3호
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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).

• 한국과학예술포럼
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• 제23권
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• pp.149-162
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• 2016

본 연구의 배경 및 연구방법과 범위, 연구내용은 다음과 같다. 최근 복합적이고 다양한 지역건설의 요구와 관심이 높아짐에 따라 건설을 인간의 삶과 연결시키려는 시도, 즉 건설에서의 기술적인 요소의 바탕에 문화적인 관점을 필수적인 상호 연계 요소로서 살펴볼 필요가 있다. 지역 자정능력의 향상을 위해서 개발논리에 따른 단편적인 지역 건설이 아닌 다양한 지역 문화와의 상생을 통해 건설 문화를 현대적인 관점으로 계승하고 활용할 필요가 있다. 이에 본 연구는 첨단 산업이 접목된 살기 좋은 지역을 건설하기 위한 전략적이고 효과적인 건설기획단계 의사결정 과정에 대해서 기술과 문화의 융합적 관점의 관련 영향요소들을 도출하고자 한다. 이를 위해 본 연구는 건설기획단계의 의사결정을 수립함에 있어 지역 고유의 기술 및 문화 콘텐츠를 고려한 융합적 관점의 정책 의사결정 영향요소를 비정형 데이터 분석 방법을 활용해 분석하고자 한다. 결론은 다음과 같다. 지역 건설기획단계는 정책적 요소로서 무형(無形)과 유형(有形)의 요소들이 다양한 의미들을 내포하고 있고, 기술적인 요소들은 건설분야에서의 다양한 정성적인 요소와 정량적인 기술요소와 접목되어 있다. 건설기획단계 의사결정을 이해한다는 것은 구조, 형태, 공법 등 눈에 보이는 '기술적 요소' 뿐만 아니라, 공간이 형성되는 과정에서 투영된 삶의 방식과 시대정신, 종교와 학문 그리고 예술에 대한 지적 통찰력과 같은 눈에 보이지 않는 '문화적 요소'까지도 포함하는 총체적 접근이 필요하다.

• 경영과학
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• 제21권2호
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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.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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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.

• 근관절건강학회지
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• 제29권2호
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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.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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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)

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2010년도 추계학술대회
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• pp.144-145
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• 2010

IMO에서 개발 중인 e-Navigation 전략 이행 계획에는 VTM(Vessel Traffic Management)을 핵심 요소들 중 하나로 포함시키고 있다. E-Navigation이 지향하는 VTM은 현재 VTS보다 다양하고 정확한 항행 정보를 선박에 제공하고 적극적 관제를 통하여 안전하고 효율적인 해상교통 흐름을 유지시키는 개념을 갖고 있다. IMO에서 계획하고 있는 VTM 기능을 구현하기 위해서는 VTS 운용 요원인 관제사들의 역할 및 능력이 VTM의 성공 여부를 좌우한다. 따라서, VTM의 구현을 위해서는 VTM에 있어서 관제사들의 역할과 관제사들의 VTM 수행을 위한 자질 능력 향상을 위한 교육 훈련 방안이 함께 논의되어야 한다. 본 연구에서는 e-Navigation 환경 하에서 VTS 관제사가 안전하고 효율적인 VTM을 수행할 수 있도록 관제사를 지원하는 관제사 의사 결정 지원 시스템에 대한 개념 설계를 수행하였다. 본 논문에서는 관제사 의사결정 지원 시스템의 개념, 주요 기능, 구성 요소 및 이를 구현하기 위한 요소 기술들에 대해 기술하였다.