• 지역사회간호학회지
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• 제32권2호
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• pp.205-219
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• 2021

Purpose: This concept analysis was conducted to clarify 'parents' treatment adherence for an epileptic child or adolescent'. Methods: The analysis used a hybrid model comprising three phases: theoretical phase, fieldwork phase, and integration phase. In the theoretical phase, fifty studies were reviewed. Interviews with four parents of epileptic children or adolescents were conducted during the fieldwork phase. In the integration phase, the results derived from prior phases were synthesized and clarified. All phases were performed cyclically. Results: The concept, 'parents' treatment adherence for an epileptic child or adolescent' was defined as parents' voluntary and goal-directed behavior towards the epilepsy treatment for their children: a collaborative decision-making process with health-care providers, establishing a support system, adaptability to the treatment plans, and appraisals of the child's health condition. Conclusion: This achievement is thought to contribute to improving the accuracy and validity of the concept measurement. It has implications for additional research on how the concept 'treatment adherence' differs in diverse health problems and other population groups than parents of children and adolescents with epilepsy.

• 한국인공지능학회지
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• 제9권1호
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• pp.15-20
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• 2021

This paper was conducted to prevent and respond to crimes by predicting crimes based on artificial intelligence. While the quality of life is improving with the recent development of science and technology, various problems such as poverty, unemployment, and crime occur. Among them, in the case of crime problems, the importance of crime prediction increases as they become more intelligent, advanced, and diversified. For all crimes, it is more critical to predict and prevent crimes in advance than to deal with them well after they occur. Therefore, in this paper, we predicted crime types and crime tools using the Multiclass Logistic Regression algorithm and Multiclass Neural Network algorithm of machine learning. Multiclass Logistic Regression algorithm showed higher accuracy, precision, and recall for analysis and prediction than Multiclass Neural Network algorithm. Through these analysis results, it is expected to contribute to a more pleasant and safe life by implementing a crime prediction system that predicts and prevents various crimes. Through further research, this researcher plans to create a model that predicts the probability of a criminal committing a crime again according to the type of offense and deploy it to a web service.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.35-36
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• 2022

Recently, as the characteristics and production methods of the construction industry are changing, and women are actively entering the society, the view of women in the construction industry is also gradually changing. Although the government is currently improving the system to expand women's participation, nevertheless, women's participation in the construction industry is very low compared to other industries. The scope of this study was limited to presenting the actual working environment and improvement plans for male and female engineers in the design office. As a result of the survey on the insufficient part of the work environment, the item 'rest space such as lounge, bathroom, and conference room was narrow' was highly surveyed for men, and 'there was no rest space that required gender discrimination' was highly surveyed for women. As for the improvement measures, both men and women were surveyed highly in the category of 'My place for personal work'. In this study, the scope of the study has a limitation in that it only presents the actual situation and improvement measures for the working environment for male and female engineers in the design office.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.16-23
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• 2023

This study examines the meaning of the national education plan promotion background, focusing on the 5th Lifelong Education Promotion Basic Plan (2023-2027) and the 3rd 2023 Career Education Internalization Support Plan (2023-2027). The purpose of this study is to present future directions for lifelong education and career education. The research results indicate that The 5th Lifelong Education Promotion Basic Plan (2023-2027) and the 3rd 2023 Career Education Internalization Support Plan (2023-2027) have both been established to cope with the future social and educational environment; thus, it is necessary to realize them. For this purpose, concrete policy alternatives have been prepared. In modern society, it is vital for the state to promote basic plans related to education, particularly for developing and improving the education system. In this respect, when suggesting the direction of lifelong and career education, first, policies for social development and strengthening competitiveness are important. Second, policies are needed that respond to changes in jobs and occupations. Third, lifelong and career education are essential to ensure social inclusion and fairness. Fourth, lifelong and career education are vital in nurturing human resources for sustainable development.

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.92-99
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• 2024

To minimize the cumulative radiation dose, various path-finding approaches for single agent have been proposed. However, for emergence situations such as nuclear power plant accident, these methods cannot be effectively utilized for evacuating a large number of workers because no multi-agent method is valid to conduct the mission. In this study, a novel algorithm for solving the multi-agent path-finding problem is proposed using the conflict-based search approach and the objective function redefined in terms of the cumulative radiation dose. The proposed method can find multi paths that all agents arrive at the destinations with reducing the overall radiation dose. To verify the proposed method, three problems were defined. In the single-agent problem, the objective function proposed in this study reduces the cumulative dose by 82% compared with that of the shortest distance algorithm in experiment environment of this study. It was also verified in the two multi-agent problems that multi paths with minimized the overall radiation dose, in which all agents can reach the destination without collision, can be found. The method proposed in this study will contribute to establishing evacuation plans for improving the safety of workers in radiation-related facilities.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.615-643
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• 2019

Now is the time for IS scholars to demonstrate the added value of academic theory through its integration with text mining, clearly outline how to implement this for text mining experts outside of the academic field, and move towards establishing this integration as a standard practice. Therefore, in this study we develop a systematic theory-based text-mining framework (TTMF), and illustrate the use and benefits of TTMF by conducting a text-mining project in an actual business case evaluating and improving hotel service quality using a large volume of actual user-generated reviews. A total of 61,304 sentences extracted from actual customer reviews were successfully allocated to SERVQUAL dimensions, and the pragmatic validity of our model was tested by the OLS regression analysis results between the sentiment scores of each SERVQUAL dimension and customer satisfaction (star rates), and showed significant relationships. As a post-hoc analysis, the results of the co-occurrence analysis to define the root causes of positive and negative service quality perceptions and provide action plans to implement improvements were reported.

• Korean Circulation Journal
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• 제53권9호
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• pp.594-605
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• 2023

Acute myocardial infarction (AMI) is a major cause of morbidity and mortality in the Asia-Pacific region, and mortality rates differ between countries in the region. Systems of care have been shown to play a major role in determining AMI outcomes, and this review aims to highlight pre-hospital and in-hospital system deficiencies and suggest possible improvements to enhance quality of care, focusing on Korea, Japan, Singapore and Malaysia as representative countries. Time to first medical contact can be shortened by improving patient awareness of AMI symptoms and the need to activate emergency medical services (EMS), as well as by developing robust, well-coordinated and centralized EMS systems. Additionally, performing and transmitting pre-hospital electrocardiograms, algorithmically identifying patients with high risk AMI and developing hospital networks that appropriately divert such patients to percutaneous coronary intervention-capable hospitals have been shown to be beneficial. Within the hospital environment, developing and following clinical practice guidelines ensures that treatment plans can be standardised, whilst integrated care pathways can aid in coordinating care within the healthcare institution and can guide care even after discharge. Prescription of guideline directed medical therapy for secondary prevention and patient compliance to medications can be further optimised. Finally, the authors advocate for the establishment of more regional, national and international AMI registries for the formal collection of data to facilitate audit and clinical improvement.

• 한국지리정보학회지
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• 제21권1호
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• pp.115-127
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• 2018

본 연구는 경상남도 김해시를 사례지역으로 선정하여, 열환경을 지속적으로 개선하기 위한 바람길 관리 방안을 제시하고자 한다. 이를 위해, Landsat 8 위성영상자료 및 공간통계 분석을 통해 김해시 열섬의 Hot spot과 Cool spot 지역을 도출하고, 김해시의 열환경 취약지역을 파악하였다. 또한, 기상청에서 제공하는 풍력자원지도를 활용하여 김해시 바람길의 풍향 및 풍속을 분석을 하였다. 그 결과, Hot spot 지역인 진영읍, 진례면, 주촌면, 도심지 일대가 바람이 약한 지역과 유사한 것으로 나타났으며, 이는 도시의 기온과 바람 형성이 지형 및 토지이용의 변화에 따라 영향을 많이 받기 때문인 것으로 판단된다. 분석을 바탕으로 김해시의 바람길 관리 전략을 제시하면 다음과 같다. Hot spot 지역과 바람이 약한 지역에는 공통적으로 농업 및 공업단지가 분포하고 있었는데, 산업단지가 조성되어 있거나 조성중인 진영읍과 진례면에서 Hot spot 지역이 확대 강화될 우려가 있으므로, 바람길을 고려한 도시 및 건축계획이 요구된다. 산업단지 및 농공단지가 위치해 있는 주촌면은 고층 아파트 및 주촌선천지구 도시개발지구가 들어설 예정이므로, 현재에도 취약한 열환경이 향후 더 악화될 수 있으므로 이를 고려한 계획이 요구된다. 본 연구를 바탕으로 기후친화적 도시개발을 위한 바람길 계획을 수립하여 도시기본계획뿐만 아니라 도시재생 및 환경계획 분야에서 활용할 수 있을 것으로 기대한다. 또한, 김해시의 기후변화 적응계획 수립을 위한 기초자료 및 기후친화적인 도시개발을 위한 평가시스템을 구축하는데 적용할 수 있을 것으로 기대한다.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제28권1호
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• pp.19-44
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• 2014

TIMSS와 PISA의 두 국제평가에서 우리나라 학생들의 경우, 수학 교과에 대한 인지적 영역의 성취도는 매우 우수한 반면 정의적 영역의 성취도는 참가국 중 최하위권의 순위를 기록하여 우리나라 교육의 문제점을 드러내고 있다. 이즈음에, 우리나라 학생들이 취약한 정의적 특성의 함양 방안을 모색해 보는 것은 의미 있은 일일 것이다. 본고에서는 2013년 PISA와 TIMSS 두 국제평가에 공통적으로 포함되어 있는 우리나라 학생들의 수학 학습에 대한 흥미와 자아효능감, 그리고 수학의 가치인식의 세 가지 정의적 특성 요인을 대상으로 각 요인에 대한 의미 및 교육적 함의를 간략히 살펴보고, 또 지금까지 수학교육 분야에서 수행되어 왔던 몇몇 주요 연구 동향을 살펴보고자 하였다. 이와 더불어, 수학 교과에 적용 가능한 흥미, 자아효능감, 가치인식의 세 가지 정의적 특성 요인을 대상으로 각각에 대한 수업 지도 방안을 탐색하여 마련하였다.

• Spatial Information Research
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• 제13권4호
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• pp.365-372
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• 2005

북한에서는 매년 기근 때문에 상당한 인명 손실이 있어왔다. 이러한 손실을 줄이기 위해 북한 정보와 함께 다양한 정보 공유를 통해 조사 연구가 필요한 실정이다. 또한, 그에 맞는 농작물 관리 시스템의 개발이 필요하다. 이 연구는 북한의 농작물 관리 시스템의 개발을 목적으로 하고 있다. 이 시스템은 북한의 수자원의 이용 상태뿐만 아니라, 농작물에 관한 정보를 수집하고, 관리하며, 분석하는 기능을 담고 있다. 그리고 이 시스템은 최종적으로 농작물 관리에 필요한 토지 이용 계획을 수립하고, 관련된 의사 결정을 하는데 도움을 준다. 첫 번째 결과물은 농작물과 수자원 관련 데이터를 수집하고 데이터베이스로 구축한 다음 사용자 요구에 맞춰 통합 시스템을 구축하는 것이다. 두 번째는 댐, 토지 피복도, 다리, 터널, 위성영상 등의 데이터를 이용하여 데이터베이스를 업데이트하고, 강화시킨다. 세 번째는 통계분석, 지속적인 데이터베이스 갱신, web-based 시스템으로 개발 등과 같은 유용한 기능 등을 추가하는 것이다. 본 연구의 결과물은 농업활동을 더 용이하게 하기 위해 연관된 데이터를 수집하고 분석하게 해준다. 그리고 식량 생산을 위해 효과적인 의사결정을 하게 한다. 게다가, 정보 공유를 통해, 농작물 관련 정보를 유용하게 사용하고 데이터 관리의 비용을 줄일 수 있다.