• Journal of Internet Computing and Services
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• v.17 no.5
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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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• v.21 no.2
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• pp.46-52
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• 2018

For data-intensive scientific workflow application experiments that leverage the cloud computing environment, large amounts of data can be distributed across multiple data centers in the cloud. The generated intermediate data can also be transmitted through access between different data centers. When the application is executed, the execution result is changed according to the location of the data since the intermediate data generated is used. However, existing data placement strategies do not consider the characteristics of scientific applications. In this paper, we define a data-intensive tasks and propose runtime data placement in that interval. Through the proposed data placement scheme, we analyze the scenarios considering the number of times in the data intensive tasks defined in this study and derive the results. In addition, performance was compared by analyzing runtime data placement times and runtime data placement overhead.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.904-913
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• 2020

As the data volumes and complexity rapidly increase, data-intensive science handling large-scale scientific data needs to investigate new techniques for intelligent storage and data distribution over networks. Recently, Named Data Networking (NDN) and data-intensive science communities have inspired innovative changes in distribution and management for large-scale experimental data. In this article, analysis on NDN testbeds for large-scale scientific data such as climate science data and High Energy Physics (HEP) data is presented. This article is the first attempt to analyze existing NDN testbeds for large-scale scientific data. NDN testbeds for large-scale scientific data are described and discussed in terms of status, NDN-based application, and features, which are NDN testbed instance for climate science, NDN testbed instance for both climate science and HEP, and the NDN testbed in SANDIE project. Finally various issues to prevent pitfalls in NDN testbed establishment for large-scale scientific data are analyzed and discussed, which are drawn from the descriptions of NDN testbeds and features on them.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.22 no.1
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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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• v.10 no.2
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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.

• Journal of Korean Critical Care Nursing
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• v.11 no.3
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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.

• Journal of Korean Clinical Nursing Research
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• v.29 no.3
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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.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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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.

• Korean Journal of Adult Nursing
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• v.21 no.2
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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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• v.25 no.6
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• pp.1467-1474
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• 2014

In this paper, we consider the two computer intensive methods for extended Euclidean algdrithm. Two methods we propose are C-programming based approach and Microsoft excel based method, respectively. Thses methods are applied to the derivation of greatest commnon devisor, multiplicative inverse for modular operation and the solution of diophantine equation. Concrete investigation for extended Euclidean algorithm with the computer intensive process is given. For the application of extended Euclidean algorithm, we consider the RSA encrytion method which is still popular recently.