• 인터넷정보학회논문지
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• 제17권5호
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• pp.43-49
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• 2016

This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensive workflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracing mode on data-intensive workflow designer. We could design data-intensive workflow using drag and drop in editable-mode, otherwise we could not design but view and trace workflow model in tracing mode. We would like to focus on tracing-mode for workflow validation, and describe how to use workflow tracing on data-intensive workflow model designer. Especially, it is support data centered operation about control logics and exchange variables on workflow runtime for workflow tracing.

• KNOM Review
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• 제21권2호
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• pp.46-52
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• 2018

클라우드 컴퓨팅 환경을 활용한 데이터 집약적인 과학 워크플로우 응용 실험의 경우 클라우드의 여러 데이터 센터에 대량의 데이터가 분산될 수 있고, 생성되는 중간 데이터는 서로 다른 데이터 센터 간의 접근을 통해 전송될 수 있다. 또한 응용의 실행이 진행될 때, 생성된 중간 데이터를 이용하며 진행되므로 데이터의 위치에 따라 실행 결과가 달라진다. 그러나 기존의 데이터 배치 기법은 과학 응용의 특성을 고려하지 않는다. 본 논문에서는 데이터 집약적 단계를 정의하여 그 구간에서의 런타임 데이터 배치를 제안한다. 제안하는 데이터 배치 기법을 통해 본 연구에서 정의한 데이터 집약적 단계에서의 횟수를 고려한 시나리오를 분석하여 결과를 도출한다. 또한 런타임 데이터 배치 횟수와 런타임 데이터 배치 시 오버헤드를 분석하여 성능을 비교했다.

• 한국정보통신학회논문지
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• 제24권7호
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• pp.904-913
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• 2020

데이터 볼륨과 복잡도가 빠르게 증가함에 따라 과학 빅데이터를 다루는 데이터 집적 과학은 네트워크를 통해 보다 효과적인 데이터 저장 및 분배를 위한 새로운 기술을 발견하는 것을 필요로 한다. 최근 네임드 데이터 네트워킹 커뮤니티와 데이터 집적 과학 커뮤니티는 함께 과학 실험 빅데이터의 분배 및 관리에 있어서 혁신적인 변화를 꾀하였다. 본 논문 에서는 기후과학 및 고에너지물리 데이터 등과 같은 과학 빅데이터를 위한 현존하는 엔디엔 테스트베드들에 대한 분석이 처음으로 이루어진다. 과학 빅데이터를 위한 엔디엔 테스트베드들을 현황, 엔디엔 기반 응용, 특징 측면에서 묘사하고 토의한다. 마지막으로 과학 빅데이터를 위한 엔디엔 테스트베드 네트워크를 확립함에 있어서, 함정에 빠질 수 있는 다양한 이슈들을 엔디엔 테스트베드들에 대한 묘사 그리고 특징들로 부터 도출하여, 분석 제시한다.

• 대한한의정보학회지
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• 제22권1호
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• pp.27-36
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• 2016

Purpose: The purpose of this study was to compare the level of job stress, burn-out and job satisfaction between intensive care unit nurses and general unit nurses. Methods: The subjects of this study were 100 intensive care unit nurses and 100 general unit nurses in university's hospitals. The data were collected using self-report questionnaires. The data were analyzed by descriptive statistics, -test, ANCOVA, t-test, ANOVA, and Pearson correlation coefficient by using the SPSS WIN 20.0 program. Results: There were significantly negative correlation in the score of job stress and job satisfaction in both groups of nurses. Job stress of intensive care unit nurses was significantly differences according to department satisfaction. Burn-out of intensive care unit nurses was significantly differences according to position, department satisfaction. Job satisfaction of intensive care nurses unit was significantly differences according to department satisfaction. Job stress of general unit nurses unit was significantly differences according to department satisfaction. Burn-out of general unit nurses was significantly differences according to clinical experience, position, department satisfaction. Job satisfaction of general unit nurses was significantly differences according to clinical experience, department satisfaction. Conclusions: The appropriate rewards for intensive care nurses and general unit nurses to decrease their job stress will be needed in hospital settings. In addition, a plan for systemic nurse training program is needed to provide high quality nursing education for each unit nurses effectively.

• International Journal of Contents
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• 제10권2호
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• pp.47-58
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• 2014

Physiological signals provide important clues in the diagnosis and prediction of disease. Analyzing these signals is important in health and medicine. In particular, data preprocessing for physiological signal analysis is a vital issue because missing values, noise, and outliers may degrade the analysis performance. In this paper, we propose PhysioCover, a system that can recover missing values of physiological signals that were monitored in real time. PhysioCover integrates a gradual method and EM-based Principle Component Analysis (PCA). This approach can (1) more readily recover long- and short-term missing data than existing methods, such as traditional EM-based PCA, linear interpolation, 5-average and Missing Value Singular Value Decomposition (MSVD), (2) more effectively detect hidden variables than PCA and Independent component analysis (ICA), and (3) offer fast computation time through real-time processing. Experimental results with the physiological data of an intensive care unit show that the proposed method assigns more accurate missing values than previous methods.

• 중환자간호학회지
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• 제11권3호
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• pp.95-107
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• 2018

Purpose : This study aimed to investigate the public's perception of reimbursement for the education and counseling services provided to advanced practice nurses in intensive care units. Method : This was a secondary data analysis study. The original data were collected utilizing an online panel. The sample comprised 615 individuals aged between 19 and 49 years nationwide. The study variables included the public's perception of reimbursement for education and counseling services, age, gender, education level, income, and health status. Variables such as past experience of being admitted to an intensive care unit by self, family, or relatives and the recognition of advanced practice nurses were also examined. Results : The mean of the perception score was 3.15 on a 4-point scale ranging from 1 (strongly disagree) to 4 (strongly agree). Among the participants, 89.2% answered "somewhat agreed" or "strongly agreed" to the question about the education and counseling services being covered by the National Health Insurance. Moreover, education level, past experience of being admitted to an intensive care unit by self, family, or relatives, and recognition of advanced practice nurses were significantly associated with the perception score. Conclusion : Efforts should be made to publicize the need for the education and counseling services that are provided to advanced practice nurses in intensive care units.

• 임상간호연구
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• 제29권3호
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• pp.296-311
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• 2023

Purpose: This study aimed to identify factors related to the workload of intensive care unit nurses through a systematic literature review and meta-analysis to provide basic data to explore the direction of development of nursing staffing standards. Methods: This study involved quantitative studies about nurses working in intensive care units related to nursing workload published in English or Korean since 2000. Search terms included 'intensive care unit', 'nursing workload', and their variations. Databases such as RISS, DBpia, MEDLINE(PubMed), CINAHL, PsycINFO, and Web of Science were utilized. Quality assessment was conducted using the Joanna Briggs Institute's Critical Appraisal Checklist for Analytical Cross-Sectional Studies. JAMOVI software facilitated the analysis of effect sizes, employing a meta-analysis approach for 7 studies with correlational or regression data. Results: From 16 studies on the workload of intensive care unit nurses, a total of 20 patient and nurse-related factors were identified. Patient-related factors included severity of illness, length of stay, and age. Meta-analysis was conducted for three patient-related factors: age, severity of illness measured by SAPS 3, and length of stay. Only severity of illness measured by SAPS 3 was significantly associated with nurse workload (Zr=0.16, p<.001, 95% CI=0.09-0.24). Conclusion: In previous studies, the characteristics of intensive care units and patients varied across studies, and a variety of scales for measuring workload and severity of illness were also used. Sustained research reflecting domestic intensive care unit work environments and assessing the workload of intensive care unit nurses should be imperative.

• 대한간호학회지
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• 제49권1호
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• pp.36-45
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• 2019

Purpose: The purpose of this study was to identify the characteristics of and risk factors for medical-device-related pressure ulcer (MDRPU) development in intensive care units. Methods: A prospective cohort study design was used, and the participants were 253 adult patients who had stayed in medical and surgical intensive care units. Data were collected regarding the application of medical devices and MDRPU-related characteristics over a period of six months from June to November, 2017. Data were analyzed using independent t-test, ${\chi}^2-test$, Fisher's exact test, and binary logistic regression analysis with the SPSS 21.0 program. Results: Among the 253 participants, MDRPUs occurred in 51 (19.8%) participants. The results of the logistic regression analysis showed that the risk factors for MDRPUs were the use of endotracheal tubes (OR=5.79, 95% CI: 1.66~20.20), having had surgery (OR=2.95, 95% CI: 1.11~7.77), being in a semi-coma/coma (OR=5.79, 95% CI: 1.04~32.05), and sedation (OR=5.54, 95% CI: 1.39~22.19). Conclusion: On the basis of the study results, it is effectively facilitated by nurses when they care for patients with MDRPUs in intensive care units and the results are expected to be of help in preventive education for MDRPU development as well as preparing the base data for intervention studies.

• 성인간호학회지
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• 제21권2호
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• pp.187-198
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• 2009

Purpose: This study was to compare and examine the factors influencing burden of primary family caregivers according to the severity of illness of elderly patients admitted in an intensive care unit. Methods: Subjects were the families of elderly patients in intensive care units of K, S and Y hospitals in Seoul. Data were collected from March to October 2007. Subjects were 108 persons over age 65. Data were analyzed by SAS statistics. Results: First, groups 5 and 3 showed higher burden than that of group 4. Second, high correlation was found between stress and burden, stress and anxiety, and burden and anxiety. Third, factors influencing family burden were found to be stress for group 5, stress, anxiety, and monthly income for group 4, and stress and patient age for group 3. Conclusion: Specific nursing interventions to decrease the stress of primary family caregivers of serious ill elderly patients in an intensive care unit are needed. Additionally, more effective and systematic activation of a long-term medical insurance system for seriously ill seniors is considered necessary to mediate the burden of primary family caregivers.

• Journal of the Korean Data and Information Science Society
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• 제25권6호
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• pp.1467-1474
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• 2014

본 논문에서는 정수론 분야에서 가장 기초적인 방법으로 소개되는 유클리드 알고리즘과 이를 확장한 확장 유클리드 알고리즘을 소개하고 이들에 대한 컴퓨터 집약적 방법을 연구하였다. 이들 알고리즘들은 공개키 암호 분야에서 암호화의 과정에서 반드시 거쳐야 하는 과정들 중의 하나로서 그 응용성이 날로 부각되고 있다. 확장 유클리드 알고리즘에 대한 컴퓨터 집약적 방법으로서 마이크로소프트 엑셀과 C 언어를 이용하는 두 가지 방법을 각각 고안하여 제안하였다. 본 논문은 단순히 정수론 차원의 계산을 쉽고 편리하게 하기 위함만이 목적이 아니고 아주 큰 수에 대한 역원 (곱셈에 대한 역원)의 계산과 이의 공개키 암호화 활용에서 의의를 찾을 수 있다.