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Hwang Eunhee,Lee Hyunbee 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10
Aim(s): This study aimed to investigate the effects of combination therapy of aroma roll-on and foot bath on the sleep index of the community-dwelling elderly. Method(s): This study was a quasi-experimental study using a single group pre-posttest design. Thirty-one elderly people living in 2 provinces participated from January 5, 2021, to June 20, 2021. Combination therapy of aroma roll-on and foot bath was applied for 4 weeks. The aroma roll-on stick was applied to the wrist and behind the ears every day and the foot bath was applied twice a week for 20 minutes before going to bed. In the preliminary survey, the subjects" general characteristics, disease-related characteristics, pain, and depression checked using a questionnaire. Sleep index were measured by wearing an ActigraphTM(wGT3X-BT) for 3 days. In the post survey, pain, depression, and sleep index were measured in the same way. General characteristics, disease-related characteristics, pain, and depression were collected to identify the subject"s homogeneity. The level of pain was checked using a visual analog scale, and depression was checked using the Short Form of Geriatric Depression Scale developed by Sheikh and Yesavage (1986). As for the sleep index, sleep latency, sleep efficiency, total bedtime, total sleep time, number of awakenings during sleep, total awakening time, and average awakening time per session were measured using the ActigraphTM (wGT3X-BT). SPSS 23.0 program was used for data analysis. Result(s): As a result of the subject"s pre-post homogeneity test, the pain (t=0.828, p=.415) and depression level (t=-1.171, p=.251) were not statistically significant. The only sleep index that had a significant difference after combination therapy was the average awakening time at one session: 3.60±1.15 minutes before and 3.13±0.75 minutes after the intervention (t=2.846, p=.008). Sleep latency (t=0.024, p=.981), sleep efficiency (t=-1.481, p=.149), total bedtime (t=1.930, p=.063), total sleep time (t=2.032, p=.051), total awakening time (t=1.515, p=.140), and the number of awakenings during sleep (t=0.696, p=.492) were not significant. Conclusion(s): As a result of this study, the average awakening time at one session during sleep was significantly decreased after the intervention, suggesting that the combination therapy effects on the sleep index. However, there is a limitation in that the effect of combination therapy has not been sufficiently confirmed because the effects of environmental factors cannot be controlled for the elderly living in various regions. It is necessary to refer to the various application methods of aroma therapy and foot bath therapy suggested in previous studies, and to combine several other interventions to investigate whether they could affect the sleep index of the elderly.
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NATM 터널 공정리스크 데이터베이스 구축 및 리스크 분류체계 개발
김현비,바타갈래 위누리 키만디가 가루나라내,김병수,Kim, Hyunbee,Karunarathne, Batagalle Vinuri,Kim, ByungSoo 한국건설관리학회 2024 한국건설관리학회 논문집 Vol.25 No.1
건설산업은 안전사고뿐 아니라 공기지연, 원가상승, 환경오염 등의 여러 복합적인 리스크가 발생하며 이를 해결하기 위한 관리기술이 필요하다. 그 중에서 프로젝트에 직접적인 영향을 미치는 공정리스크의 관리는 그 중요성에 비해 관련정보가 부족한 실정이다. 본 연구는 각 프로젝트마다 상이한 분류체계 사용으로 인한 리스크 정보검색의 어려움을 해소하기 위하여 MATM 터널 공정리스크분류체계를 개발하고자 하였다. 리스크수집은 기존 문헌검토와 Experience Mining 기법을 사용하였고 DB구축은 자연어처리 개념을 활용하였다. 분류체계의 구조는 자료의 호환성을 고려하여 기존 WBS 구조를 채택하였고, WBS의 공종과 연결된 RBS를 구축하였다. 연구결과 공종별 리스크를 쉽게 파악하고 리스크에 연결된 리스크특성과 리스크요인이 직관적으로 드러나는 리스크분류체계가 완성되었다. 구축된 분류체계의 활용성 검증결과 사용자의 키워드 입력으로 공종별 리스크와 리스크요인이 쉽게 식별되어 분류체계는 유효한 것으로 나타났다. 본 연구를 통해 NATM터널 계획 및 설계 시 작업공종에 따르는 리스크를 미리 식별하고 그 요인에 맞는 대응방안을 수립하여 비용과 공사기간의 증가를 방지하는데 기여할 수 있을 것으로 기대된다. In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.
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