• 한국항행학회논문지
• /
• 제22권2호
• /
• pp.96-104
• /
• 2018

NOTAM은 항공과 관련된 상태 정보를 항공종사자들에게 배포하는 공고문을 말한다. 국제민간항공기구인 ICAO는 SBAS 신호에 근거한 접근 절차를 사용하기 위해서는 SBAS 서비스에 대한 NOTAM 서비스를 제공해야 한다고 권고하고 있다. 이에, ICAO 권고사항을 준수하여 KASS가 APV-I 급 SoL 서비스를 제공하기 위해서는 SBAS 신호를 이용하여 착륙하는 모든 항공기에 NOTAM 서비스를 제공해야 한다. 때문에 이를 위한 KASS NOTAM 시스템 개발이 필요하다. 본 논문에서는 국내외 NOTAM 관련한 규정을 살펴보고 국내에서 일반적인 NOTAM 서비스 제공 현황을 분석하였다. 또한 이를 토대로 KASS NOTAM 서비스 제공 방안을 제시하였다. 그리고 국외 기 구축된 미국 WAAS와 유럽 EGNOS의 NOTAM 시스템 분석을 통하여 향후 개발될 KASS NOTAM 시스템의 구성 방안을 제시하고 구성 방안에 따른 주요 기능 요구 사항을 분석하였다.

• 한국콘텐츠학회논문지
• /
• 제21권1호
• /
• pp.55-65
• /
• 2021

본 연구의 목적은 한국 전통공연예술 산업이 무상지원에 의존하는 단일한 수익구조의 한계를 극복하는 데 해외시장진출이 기회요인이 될 수 있는지를 탐색하는 것이다. 이를 위해 먼저 산업가치사슬과 비즈니스모델의 개념을 응용하여 해외시장진출과정을 준비, 추진, 수확, 후속의 4단계로 구분한 분석 틀을 설계하였다. 또한 전통음악분야에서 시장지향적 사고를 갖고 능동적으로 해외시장개척에 나선 사례 3곳을 발굴하여 현 단계 한국 전통공연예술 산업의 해외진출모델을 도식화하였다. 해외시장이 아직은 주요 수익원이 되지는 못하지만 수익 다원화 차원에서 해외진출을 추진하는 전통공연예술종사자라면 본 연구에서 도출한 해외진출모델을 고려해 볼 수 있다. 한편 정부는 사례연구에서 지적되었듯이 전통공연예술 산업의 해외진출을 담당하는 전문기획자와 유통전문가를 양성하는 제도를 정비하고, 해외진출을 위한 일회성 경비지원 일색에서 벗어나 장기적인 정보제공 프로그램을 개발해야 한다.

• 융합정보논문지
• /
• 제11권7호
• /
• pp.84-90
• /
• 2021

국내 기업에서 발생하는 사고의 98.8%가 50인 미만의 소규모 사업장에 편중되어 있다. 따라서 본 연구에서는 산업안전 및 시설 관련 법령과 활발하게 활용되고 있는 안전관리시스템을 상호 비교분석하여 중소기업에서 이행할 수 있는 재난안전 프로그램을 개발하였다. 재난안전 프로그램에는 적용범위, 조직의 구성, 위험성평가, 비상대응체계, 교육 및 훈련, 안전용품 구비 및 프로그램 평가 등의 내용을 포함하였으며, 각 항목별로 작성방법과 절차를 상세하게 수록하였다. 또한 재난안전 프로그램 운용 시 유의해야 할 사항과 운영 전략을 제시하였다. 이후 연구결과를 산업안전보건법에 도입하는 방안을 제언하였다.

• 한국병원경영학회지
• /
• 제26권1호
• /
• pp.55-70
• /
• 2021

Purpose: The purpose of this study was to examine the influencing factors of the patient leaning phenomenon in tertiary hospitals. Based on the results of this study, we intended to find implications for improving the problems of the delivery system imbalance in tertiary hospitals caused by patient leaning phenomenon. Methodology/Approach: Qualitative studies were conducted, using focus group interviews and in-depth interviews. The focus group interviews were conducted for 12 users of tertiary hospitals by 2 groups. And in-depth interviews were conducted for 6 tertiary hospital managers. This was considered to be the most effective approach to gather diverse and in-depth information about the influencing factor of patient leaning phenomenon in tertiary hospitals. Findings: In focus group interviews, the reason for choosing tertiary hospitals was the reliability of the hospital(physician, reputation, etc.). And the effect of the policy to strengthen coverage of National Health Insurance and private medical insurance was relatively small. In other words, we found that the individual's desire to receive medical services suitable for one's health status and disease condition was the biggest factor, rather than the cost and policy factors. Practical Implications: We suggested that the appropriate medical care provision should be strengthened according to the role and function of medical institutions. In addition, the education system needs to be reorganized to activate the referral program, expand community medical capabilities, and foster quality primary medical care.

• Steel and Composite Structures
• /
• 제44권1호
• /
• pp.33-47
• /
• 2022

This paper presents a finite element model for predicting the monotonic behaviour of bolted endplate joints connecting steel-concrete composite walls and steel beams. The demountable Hollo-bolts are utilised to facilitate the quick installation and dismantling for replacement and reuse. In the developed model, material and geometric nonlinearities were included. The accuracy of the developed model was assessed by comparing the numerical results with previous experimental tests on hollow/composite column-to-steel beam joints that incorporated endplates and Hollo-bolts. In particular, the Hollo-bolts were modelled with the expanded sleeves involved, and different material properties of the Hollo-bolt shank and sleeves were considered based on the information provided by the manufacture. The developed models, therefore, can be applied in the present study to simulate the wall-to-beam joints with similar structural components and characteristics. Based on the validated model, the authors herein compared the behaviour of wall-to-beam joints of two commonly utilised composite walling systems (Case 1: flat steel plates with headed studs; Case 2: lipped channel section with partition plates). Considering the ease of manufacturing, onsite erection and the pertinent costs, composite walling system with flat steel plates and conventional headed studs (Case 1) was the focus of present study. Specifically, additional headed studs were pre-welded inside the front wall plates to enhance the joint performance. On this basis, a series of parametric studies were conducted to assess the influences of five design parameters on the behaviour of bolted endplate wall-to-beam joints. The initial stiffness, plastic moment capacity, as well as the rotational capacity of the composite wall-to-beam joints based on the numerical analysis were further compared with the current design provision.

• 한국산업보건학회지
• /
• 제32권4호
• /
• pp.340-349
• /
• 2022

Objectives: The importance of MSDS is emphasized for communicating hazardous information due to the increase in the types and usage of chemical substances. The purpose of this study is to assess the reliability of MSDS by collecting and examining paint thinners commercially available in South Korea. Methods: Twenty-five paint thinners were purchased at paint stores and the provision of MSDS was checked. Quantitative and qualitative analysis was performed on the chemical constituents of the thinners using GC-MSD and GC-FID. Reliability was evaluated by the MSDS collection rate for the paint thinners and calculating the rate of matching between laboratory analysis results and the contents and composition of chemical constituents given in the MSDS. Results: Unlike a study conducted in 2006, MSDS were provided for all 25 thinners. As a result of qualitative analysis using GC-MSD, 104 chemical substances were detected. The substances with the highest detection rate were identified in the order of toluene, butyl acetate, acetone, xylene, and ethyl benzene. A component matching rate of 41% was found by comparing the differences between the number of substances detected in laboratory testing and the number of substances listed in the MSDS. Benzene, a carcinogen not listed in the MSDS, was detected in two thinners produced by a small company. The detected benzene contents were 0.039 and 0.040%. When benzene is used, it should be strictly handled according to the Industrial Safety and Health Act. However, since it is not listed on the MSDS, it is judged that benzene was not being managed as a carcinogen in the workplaces where it is used. Conclusions: Since the reliability of MSDS, which play an important role in hazard communication, was evaluated to be low, it is necessary to systematically and continuously secure this reliability. In particular, carcinogens should be managed more strictly.

• 한국보건간호학회지
• /
• 제36권3호
• /
• pp.417-430
• /
• 2022

Purpose: The purpose of this study was to develop a respiratory infection prevention program for the rural elderly in the post-coronavirus disease 2019 (COVID-19) era. Methods: The Delphi method was used to validate the contents of the program. Two rounds of Delphi surveys and one individual interview were conducted on four subjects and 16 categories with nine experts. Content validity was calculated using the content validity ratio (CVR) and coefficient of variation (CV). Results: This study verified the content validity of the existing program components, such as respiratory infection prevention characteristics, cough etiquette, correct hand washing, oral hygiene, correct tooth brushing, and exercise by walking. The study comprised 28 categories covering seven subjects, including the provision of knowledge and information about COVID-19, environmental management for respiratory infection prevention, and exercise training for immunity enhancement. Conclusion: This Delphi study examined the respiratory infection prevention program that was redesigned for the post-COVID-19 era and confirmed the validity of the educational contents. The findings of this study suggest that the program can be used practically for the prevention of respiratory infection among the rural elderly.

• 디지털융복합연구
• /
• 제20권2호
• /
• pp.455-462
• /
• 2022

본 연구는 COVID-19로 기술을 활용한 비대면 지역사회 돌봄서비스의 수요가 증가함에 따라 독거노인 돌봄에 있어 인간 중심의 IT 활용방안을 모색하기 위해 진행되었다. 전문가 대상 FGI를 통해 ICT 활용 돌봄서비스 현황, 전달체계의 문제, 윤리적 이슈를 확인하였다. IT를 활용한 서비스로 독거노인의 생활안전과 고독사 예방을 위한 보조기술인 '돌봄플러그'와 정서적 지지의 반려로봇이 활용되고 있었다. 전달체계 상의 문제로는 일상생활 지원을 위한 보조기술 활용에 대한 신뢰 부족, 공급자중심, 일률적 제공이라는 문제가 도출되었으며 대면서비스의 보조적 수단으로 활용되어야 하고 통제 가능하며 편이성이 담보되어야 할 필요성이 제시되었다. 인간중심의 IT 활용을 위한 윤리적 이슈로 '자기결정권의 보장', '사생활보호', '충분한 알권리의 보장', 그리고 '사각지대 포괄'의 이슈가 제시되었다. 연구 결과를 토대로 이용자 중심의 설계 필요성과 인간중심의 보조기술 활용을 위안 윤리지표의 필요성을 제시하였다.

• 품질경영학회지
• /
• 제50권3호
• /
• pp.503-515
• /
• 2022

Purpose: As ISO 13485 was revised in 2016, the domestic GMP (Good Manufacturing Practice) system was also revised and implemented in 2019. However, there are many problems in the domestic medical device industry because most of the small and medium-sized enterprises lack human and material resources. Accordingly, this study was conducted to provide education programs for domestic medical device companies to induce information provision and improve the company's quality management ability. Methods: First, analyze existing education. Second, based on the revised GMP system, a survey paper was produced to investigate difficulties and problems experienced by companies. Third, a two-week survey was conducted on domestic medical device manufacturers, and a total of 77 companies responded to this survey. Fourth, educational program development was conducted based on the results of the survey. Results and Conclusion: The developed education program consists of a total of five sessions. In this study, the educational program developed by grasping the needs of the company through a survey consists of a total of five sessions. The first session consisted of theoretical education and the second to fifth sessions of practical education. Through the education program developed in this study, it is expected to contribute to the overall development of medical device quality by establishing a domestic medical device manufacturing environment that secures the safety and performance of domestic medical device companies.

• International Journal of Computer Science & Network Security
• /
• 제22권10호
• /
• pp.374-388
• /
• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.