• International journal of advanced smart convergence
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• 제10권3호
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• 기본간호학회지
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• 제10권2호
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• pp.145-153
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• 2003

Purpose: Related factors for 24 nursing diagnoses frequently used in the emergency care unit were validated in this study. Method: A convenience sample of 65 registered nurses who had worked for 2 years or more in emergency care units and received instruction on nursing diagnosis was used for the study. The classification of nursing diagnoses was based on NANDA (1996) and validation, on Fehring (1987)'s DCV model. Result: Differences were found between emergency and general care units for related factors for nursing diagnosis. Newly reported related factors were not found for emergency care units. Conclusion: It is helpful for nurses who work in emergency care to be able to apply the nursing diagnosis validated in this study. These findings can be used as the database to provide a nursing diagnosis system appropriate to improving the emergency nursing practice.

• Journal of Construction Engineering and Project Management
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• 제3권2호
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• pp.21-34
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• 2013

Various risk factors affect construction projects. Due to the uncertainties created by risk factors, actual activity durations frequently deviate from the estimated durations in either favorable or adverse direction. For this reason, evaluation of schedule uncertainty is required to make decisions accurately when managing construction projects. In this regard, this paper presents a new computer simulation model - the Repetitive Schedule Risk Analysis Model (RSRAM) - to evaluate unit-based repetitive building project schedules under uncertainty when activity durations and risk factors are correlated. The proposed model utilizes Monte Carlo Simulation and a Critical Path Method based repetitive scheduling procedure. This new procedure concurrently provides the utilization of resources without interruption and the maintenance of network logic through successive units. Furthermore, it enables assigning variable production rates to the activities from one unit to another and any kind of relationship type with or without lag time. Details of the model are described and an example application is presented. The findings show that the model produces realistic results regarding the extent of uncertainty inherent in the schedule.

• 품질경영학회지
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• 제40권2호
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• pp.145-155
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• 2012

The purpose of this study is to suggest the direction of improving service quality in the defense logistics support. For this, this study compares and analyzes the perceived service quality between customer(using unit) and defense logistics support unit by using SERVPERF model. Supply, military meals, and maintenance are carrying out the mission as core function of defense logistics support and also encounter with customer. In this empirical analysis, the service quality is composed of four factors, and there are significant difference in perception level of service quality between them. Also, the relationship between factors of service quality and revisit intention shows significant difference statistically, and the customer orientation and responsiveness are key affecting factors on revisit intention.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 추계학술대회
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• pp.383-384
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• 2022

Gas Combustion Unit (GCU) onboard liquefied natural gas carriers handles boil-off to stabilize tank pressure. There are many factors for LNG cargo operators to take into consideration to determine whether to use GCU or not. Gas consumption of main engine and re-liquefied gas through the Partial Re-Liquefaction System (PRS) are good examples of these factors. Human gas operators have decided the operation so far. In this paper, some deep learning neural network models were developed to provide human gas operators with a decision support system. The models consider various factors specially into GCU operation. A deep learning model with Sigmoid activation functions in input layer and hidden layers made the best performance among eight different deep learning models.

• 산업기술연구
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• 제26권B호
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• pp.73-81
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• 2006

A sensitivity analysis about effects of influencing factors on the stability of Soil cut slope was performed. Slope stability analyses were carried out under dry, rainy and seismic conditions. Dominant factors controlling the slope stability were chosen such as cohesion and internal friction angle, unit weight of soil, water table and seismic horizontal coefficient used for the slope stability during earthquake. Parametric stability analysis with those factors was performed for sensitivity analysis. As results of analyzing the sensitivity of factors under dry and rainy conditions, effects of cohesion, internal friction angle and unit weight of soil on the stability of slope are more critical in the dry condition than in the rainy condition. Cohesion and internal friction angle are more dominant factors influencing the slope stability irrespective of dry or rainy conditions than unit weight of soil and the horizontal seismic coefficient. The unit weight and the horizontal seismic coefficient affects crucially the stability according to conditions of slope formation and dry or rainy seasons. For the effect of horizontal seismic coefficient on stability of slope, safety factor of slope is not affected significantly by dry or rainy conditions. However, increase of the horizontal seismic coefficient under the rainy condition floes reduce the safety factor significantly rather than the dry condition. Therefore, it is needed that the location of the water table is assigned appropriately to satisfy the required safety factor of stability in the case of checking slope stability for the rainy and seismic conditions.

• 중환자간호학회지
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• 제16권2호
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• pp.28-41
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• 2023

Purpose : This study aimed to investigate the characteristics and risk factors associated with pressure injuries related to medical devices among patients admitted to the intensive care unit (ICU). Method : A retrospective study analyzed data from 462 ICU patients. Statistical analyses, including independent t-tests, Fisher's exact tests, and logistic regression were performed to analyze the data. Results : Among the 154 subjects, there were a total of 198 medical device-related pressure injuries (MDRPI). Stage 2 and deep tissue pressure injuries were the most frequent. MDRPI occurred most frequently on the face, with nasogastric tubes being its leading cause, followed by endotracheal tubes. The risk factors for MDRPI included male sex (odds ratio [OR]=1.78, 95% confidence interval [CI]=1.12-2.83), department at the time of ICU admission (OR=4.29, 95% CI=2.01-9.15), post-surgery ICU admission (OR=0.43, 95% CI=0.25-0.73), application of extracorporeal membrane oxygenation machines (OR=2.72, 95% CI=1.06-6.95), number of medical devices (OR=1.16, 95% CI=1.05-1.30), inotropic drug administration (OR=2.33, 95% CI=1.19-4.60), and sedative use (OR=2.53, 95% CI=1.17-5.45). Conclusion : These results enable the determination of the characteristics and risk factors associated with MDRPI. It is crucial to acknowledge the risk factors for MDRPI in ICU patients and establish a prevention strategy.

• 대한안전경영과학회지
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• 제8권1호
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• pp.85-96
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• 2006

The oriental life change unit(LCU) models differ from the western LCU model in human behavior, life style, ideas, culture, and psychology factors. Especially, the cause and effect models by behavior scientific approach method have provided the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results of the oriental LCU model and western LCU model. Especially, the death of parents and death of close friend in Korean LCU model feel more acute stress than the western factors. In the case of Korean LCU models between the unmarried and married workers living in the middle area of Korea, death of parents, change in family member's health, change to different line of work, and change in work hours and condition are significant at the significance level of 5%. The priority of life change factors in these models is approved in the order of death of parents, death of spouse, death of close family member, and death of close friend. Finally, the result of this paper can be easily used in order to minimize the industrial accidents by the job stress with the worker and safety manager in real fields.

• 기본간호학회지
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• 제26권1호
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• pp.32-41
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• 2019

Purpose: The purpose of this study was to identify the risk factors for postoperative pulmonary complications (PPCs) after upper or lower abdominal digestive tract surgery. Methods: Participants in this retrospective observational study had undergone upper or lower digestive tract surgery and entered the surgical intensive care unit between March 1, 2016 and February 28, 2017. Data were collected from the medical records, operative records, results of laboratory test, and the nursing records of the hospitals. Results: Of the patients, 544 patients were enrolled in the study and PPCs -developed in 335 (61.6%) patients. On multivariate logistic regression analysis, significant risk factors of PPCs were identified: BMI (Body Mass Index; $kg/m^2$), preoperative serum BUN (Blood Urea Nitrogen; mg/dL), abdominal open surgery, or blood transfusion during operation. Conclusion: These risk factors could be used to help identify patients at risk for PPCs and then appropriate nursing interventions could be provided for patients at risk of PPCs.

• 대한간호학회지
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• 제37권4호
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• pp.586-593
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• 2007

Purpose: The purpose of this study was to describe patients' anxiety in the ICU and to investigate related factors on the anxiety level. Methods: An exploratory cross-sectional survey design was used. Forty-eight patients participated in the study. Questionnaires were asked to patients who had been cared in the ICUs. Results: Related to the anxiety level, the mean of the total anxiety score was 5.47, and 60% of the patients had moderate or severe level of anxiety. Patients from the coronary care unit had a significantly higher level of anxiety than those from surgical intensive care unit or pulmonary surgery care unit. Moreover, significantly different levels of anxiety were found among patients who had been stayed for 2, 3, or 4 days. Conclusion: Patients who were from the coronary care unit or had been stayed longer (up to 4 days) in the ICU were significantly associated with higher anxiety level.