• Korean Journal of Adult Nursing
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• v.18 no.4
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• pp.632-641
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• 2006

Purpose: The purposes of this study were to analyze the core nursing interventions that are used in the medical and surgical units, and to present the basic data that can be applied in clinical fields. Method: The data was collected from 353 nurses of the medical and surgical units from Jan. 2005 to Dec. 2005, using the database of nursing process record system used at a tertiary hospital. Results: 190 interventions were performed in the medical units, with 21 core nursing interventions. 198 interventions were performed in the surgical units, with 16 core nursing interventions. There were 11 common core nursing interventions. Conclusion: The results revealed that the ratio of physiological interventions and the interventions related to safety were high. The interventions were classified according to one's field of specialization, together with the common interventions were also being performed. According to the changes in the demands of consumers, there was also increases in the performance of 'pain management' and 'fall prevention.' We expect that this study will allow for the performance of standardized interventions, and that it will be helpful in the role of the experienced nurse, and in the approach to the nursing specialty.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.2
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• pp.172-178
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• 2015

Constructing a bilingual multi-word lexicon is confronted with many difficulties such as an absence of a commonly accepted gold-standard dataset. Besides, in fact, there is no everybody's definition of what a multi-word unit is. In considering these problems, this paper evaluates and analyzes the context vector approach which is one of a novel alignment method of constructing bilingual lexicons from parallel corpora, by comparing with one of general methods. The approach builds context vectors for both source and target single-word units from two parallel corpora. To adapt the approach to multi-word units, we identify all multi-word candidates (namely noun phrases in this work) first, and then concatenate them into single-word units. As a result, therefore, we can use the context vector approach to satisfy our need for multi-word units. In our experimental results, the context vector approach has shown stronger performance over the other approach. The contribution of the paper is analyzing the various types of errors for the experimental results. For the future works, we will study the similarity measure that not only covers a multi-word unit itself but also covers its constituents.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.435-443
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• 2015

Two phase sampling design is useful to increase estimation efficiency using deep stratification, improved non-response adjustment and reduced coverage bias. The same sampling units are commonly used for the first and the second phases in complex two-phase sampling design. In this paper we consider a sampling scheme where the first phase sampling units are clusters and the second phase sampling units are list samples. Using selected clusters in first phase requires that we list up elements in the selected clusters from the first phase and then use the list as a secondary sampling frame for the second phase sampling design. Then we select second phase samples from the listed sampling frame. We suggest an estimator based on the complex two-phase sampling design with different sampling units of each phase. Also the estimated variances of the estimator obtained by using classic and replication variance methods are considered and compared using simulation studies. For real data analysis, 2010 Korea Farm Household Economy Survey (KFHES) and 2011 Korea Agriculture Survey (KAS) are used.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.65-76
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• 2004

In this paper, we observe the differences between linguistic and computational aspect in the automatic processing of languages which are dominant representation method for information in the Internet. For efficient information retrieval, information extraction and machine translation from the massive documents, we investigate analysis units for morphology analysis, syntactic analysis and semantic analysis. and propose the syntactic longest analysis unit rather than morphological unit based on linguistics. Also, by evaluating with massive documents, we show that the proposed analysis units can be used for the constraint which can reduce the ambiguity occurring in the language processing.

• Korean Journal of Human Ecology
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• v.20 no.5
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• pp.1075-1091
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• 2011

The purposes of this study were to investigate the actual state of indoor air quality in semi-underground multi-family housing units in early summer, to analyze the influencing factors, and to make suggestions for improvement. A series of field investigations were conducted in four target units between June 22, 2010, and June 28, 2010. The field investigations included measurements of indoor air quality as well as the observation of architectural characteristics and living conditions. In addition to the field investigation, on-site questionnaire surveys were administrated to residents in 90 units. The findings are summarized as follows: (1) The average $CO_2$ levels in each of the four units ranged from 759ppm to 1885ppm. $CO_2$ levels in three units exceeded the evaluation standard (1000ppm), and one unit was lower than the standard. This unit had smaller number of staying person and a large amount of ventilation than others; (2) the average CO levels in each unit were almost 0ppm, but 0.1~1.1 levels of CO were revealed at several times; (3) the average PM-10 levels ranged from $8{\mu}g/m^3$ to $40{\mu}g/m^3$, which distributes within the standard ($150{\mu}g/m^3$). The influencing factors of PM-10 levels were analyzed as inflow from outside, the use of a gas range, and the residents' activities; (4) therefore, it was evaluated to be necessary to improve ventilation for the indoor air quality of semi-underground housing in aspect of $CO_2$ levels.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.403-414
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• 2024

The aim of this study is to evaluate the productivity of multilayered modular housing units during the prefabrication phase. Additionally, it shows the results of productivity analysis conducted using the Web Cyclone technique. Initially, an review of literature and prior studies helped outline the comprehensive manufacturing process of laminated modular apartments, examining the range of minimum, average, and maximum work durations along with workforce size. Subsequently, the productivity of the multilayered apartments' prefabrication was assessed using the Web Cyclone technique, focusing on the workflow, duration, and personnel involved. This analysis also included a comparison of productivity against the initial plan based on the outcomes of a sensitivity analysis.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2001.10a
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• pp.287-294
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• 2001

In static analysis of a variety of structures, the matrix method of structural analysis is the most widely used and powerful analysis method. However, this method has drawback requiring high-performance computers with many memory units and fast processing units in the case of analyzing complex and large structures accurately. Therefore, it's very difficult to analyze these structures accurately in personal computers. For overcoming the drawback of the matrix method of structural analysis, authors suggest transfer stiffness coefficient method(TSCM). The TSCM is very suitable to a personal computer because the concept of the TSCM is based on the transfer of the stiffness coefficient for an analytical structure. In this paper, the static analysis algorithm for frame structures is formulated by the TSCM. We confirm the validity of the proposed method through the compare of computation results by the TSCM and the NASTRAN.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.3
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• pp.261-273
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• 2021

Purpose: This study used a descriptive investigative design to identify educational needs for developmental supportive care for the purpose of establishing a developmental supportive care education program for nurses in neonatal intensive care units. Methods: A survey was conducted on 93 nurses working in neonatal intensive care units located in a metropolitan area, and the collected data were analyzed using descriptive statistics and a paired t-test with the SPSS 25.0 program. For the purpose of analyzing educational needs, we further analyzed data through an importance-performance analysis (IPA) and the Borich needs assessment and the locus for focus models. Results: The average importance of the developmental supportive care of nurses in neonatal intensive care units was 3.74±0.78 out of 5, and the average performance was 3.46±0.81 out of 5. A t-test on the difference between the IPA and Borich needs assessment showed the highest educational need in the categories of 'individualized care', and 'I serve on the Developmental Care Committee at my institution'. In addition, according to the results of deriving the priorities of educational needs using the Borich needs assessment and the locus for focus model, the highest priority was 'I provide appropriate pain management when noxious procedures are necessary'. Conclusion: These findings can be used as basic data to design a developmental supportive care program suitable for nurses in neonatal intensive care units to meet the educational needs for developmental supportive care.

• 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.

• Journal of Korean Critical Care Nursing
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• v.17 no.2
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• pp.25-41
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• 2024

Purpose : This study aimed to investigate changes in critical nursing activities from 2009 to 2020 and explore the relationship between nurse staffing and such activities in intensive care units. Methods : A total of 446,445 adult patients admitted to intensive care units in tertiary and general hospitals from 2009 to 2020 were identified using the National Health Insurance claims database. The Critical Nursing Activities Index was calculated based on the following critical nursing activities: ventilator, extracorporeal membrane oxygenation (ECMO), and continuous renal replacement therapy (CRRT). Trend analysis was performed to analyze changes in critical nursing activities over 12 years and to assess linear trends across different staffing levels. Results : The annual utilization days for ventilators, ECMO, and CRRT, as well as the Critical Nursing Activities Index significantly increased over the study period (p-for-trend<.001) in tertiary and general hospitals, except for ventilator use in general hospitals. Ventilator, ECMO, and CRRT utilization exhibited a significant upward trend with higher nurse staffing levels (Bonferroni adjusted p-for-trend<.001). The Critical Nursing Activities Index was significantly higher in hospitals with higher staffing levels compared to those with lower staffing levels (Bonferroni adjusted p <.05). Conclusion : The findings underscore the need for improved nurse staffing levels in intensive care units. Government policies should ensure that staffing levels align with critical nursing activities among critically ill patients to uphold the quality of care.