• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.135-141
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• 2022

It is an important role of a researcher to preserve the research process and results as a record in the overall R&D from the planning stage to completion. This can be used as a basis to support the objectivity of the R&D process and results. This can be used as a basis to support the objectivity of the R&D process and results. The necessity of writing research notes is raised in terms of research ethics, records management, intellectual property rights protection, and research results protection according to 「National Research And Development Innovation Act」. Therefore, in this paper, the results of the systematic and practical management method of research notebooks operated by government-funded institutions are described.

• Journal of Korean Academy of Rural Health Nursing
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• v.16 no.2
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• pp.54-59
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• 2021

Purpose: This study aimed to describe a school health teacher's experience working in a mountain village during the COVID-19 outbreak in 2021. Methods: The study used a case study method based on the school records and reports to the local office of education. Results: In T City, since the first COVID-19 case confirmed on March 8, 2020, as of May 17, 21, a total of 21 cases have occurred, including two third-year students of H Middle School. Since then, one additional case was confirmed on May 18, one more on May 25, and one more on May 27, resulting in a total of five confirmed cases. During this period, 42 students and 13 teachers were self-quarantined, all students and staff were tested for COVID-19 PCR, and students received remote classes. The role of school health teacher can be described through three categories: "collaborator", "care coordinator", and "educator". The school health teacher did a lot of work until the situation came to an end, successfully fulfilling these three roles. Conclusion: Some suggestions were made to prepare a more effective communicable disease response system suitable for public health infrastructure of non-urban area.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.5
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• pp.203-210
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• 2022

As more and more research and companies use health care data, efforts are being made to vitalize health care data worldwide. However, the system and format used by each institution is different. Therefore, this research established a basic model to classify text data onto multiple institutions according to the type of the future by establishing a basic model to classify the types of medical records of the EEG Report. For EEG Report classification, four deep learning-based algorithms were compared. As a result of the experiment, the ANN model trained by vectorizing with One-Hot Encoding showed the highest performance with an accuracy of 71%.

• Nuclear Engineering and Technology
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• v.53 no.6
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• pp.2038-2045
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• 2021

The main objective of this work is to propose a reliable routine standard operation procedures (SOP) for structural health monitoring and diagnosis of nuclear power plants (NPPs). At present, NPPs have monitoring systems that can be used to obtain the quantitative health record of containment (CTMT) buildings through system identification technology. However, because the measurement signals are often interfered with by noise, the identification results may introduce erroneous conclusions if the measured data is directly adopted. Therefore, this paper recommends the SOP for signal screening and the required identification procedures to identify the dynamic characteristics of the CTMT of NPPs. In the SOP, three recommend methods are proposed including the Recursive Least Squares (RLS), the Observer Kalman Filter Identification/Eigensystem Realization Algorithm (OKID/ERA), and the Frequency Response Function (FRF). The identification results can be verified by comparing the results of different methods. Finally, a preliminary CTMT healthy record can be established based on the limited number of earthquake records. It can be served as the quantitative reference to expedite the restart procedure. If the fundamental frequency of the CTMT drops significantly after the Operating Basis Earthquake and Safe Shutdown Earthquake (OBE/SSE), it means that the restart actions suggested by the regulatory guide should be taken in place immediately.

• Journal of Korean Biological Nursing Science
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• v.24 no.3
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• pp.161-170
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• 2022

Purpose: The purpose of this study was to investigate polypharmacy and potentially inappropriate medication (PIM) use in elderly patients admitted to hospitals after falls. Methods: The study surveyed 283 patients 65 or older admitted January 1-December 31, 2016. Data were collected from electronic medical records, and medications administered immediately prior to admission were examined. PIM use for patients was investigated using the Beers criteria, and data were analyzed by Chi-square test and independent ttest. Results: The average age of participants was 79.42± 8.16, and the study included 226 women (79.9%) and 57 men (20.1%). The average number of self-administered medications daily was 4.94± 3.68, and 55.1% took five or more medications. PIM use was found in 107 patients (37.8%). There was a significant difference in polypharmacy according to age, and the proportion of medical aid beneficiaries and prevalence of cardiocerebrovascular, endocrine, and other chronic diseases were higher in the polypharmacy and PIM use patients than in the non-polypharmacy and non-PIM use patients. The number of chronic diseases and medications taken were significantly high among polypharmacy and PIM use patients. Conclusion: It is necessary to minimize polypharmacy and PIM use, and establish a system for systematically evaluating and managing medication use to prevent falls in the elderly.

• Korean Journal of Veterinary Service
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• v.45 no.3
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• pp.165-169
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• 2022

Immune-mediated hemolytic anemia (IMHA) is autoimmune disease which is anemia caused by own immune system destroying the red blood cells (RBC). It can be diagnosed with spherocytosis, positive auto-agglutination of RBCs and direct antiglobulin test (DAT, Coomb's test). The treatment for IMHA are blood transfusion, immunosuppressive agents including glucocorticoids and other supportive therapies. Danazol is synthetic androgen that has effect of interfering the autoimmune reaction to RBCs. It can be used as an adjunctive agent in addition to glucocorticoids. To investigate its effectiveness, the medical records of 10 IMHA-diagnosed dogs were evaluated. All subjects were treated with blood transfusion, prednisolone, mycophenolate mofetil, and intravenous human immunoglobulin G. Additionally, 6 subjects were administered with danazol and 4 subjects were not. The results of initial blood examination and responses to the treatment for IMHA were compared between the groups. There were significant differences in the number of blood transfusions; once in group with danazol, twice in group without danazol, duration of recovery to normal hematocrit; 7.67±3.08 days in group with danazol, 22.00±5.66 days in group without danazol, and hospitalization; 5.17±0.75 days in group with danazol, 12.75±2.22 days in group without danazol. Therefore, danazol has potential effective on treating IMHA for rapid improvement.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.504-519
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• 2023

Heart disease is becoming the top reason of death all around the world. Diagnosing cardiac illness is a difficult endeavor that necessitates both expertise and extensive knowledge. Machine learning (ML) is becoming gradually more important in the medical field. Most of the works have concentrated on the prediction of cardiac disease, however the precision of the results is minimal, and data integrity is uncertain. To solve these difficulties, this research creates an Integrated Accurate-Secure Heart Disease Prediction (IAS) Model based on Deep Convolutional Neural Networks. Heart-related medical data is collected and pre-processed. Secondly, feature extraction is processed with two factors, from signals and acquired data, which are further trained for classification. The Deep Convolutional Neural Networks (DCNN) is used to categorize received sensor data as normal or abnormal. Furthermore, the results are safeguarded by implementing an integrity validation mechanism based on the hash algorithm. The system's performance is evaluated by comparing the proposed to existing models. The results explain that the proposed model-based cardiac disease diagnosis model surpasses previous techniques. The proposed method demonstrates that it attains accuracy of 98.5 % for the maximum amount of records, which is higher than available classifiers.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.30-40
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• 2007

The demand for light-rail construction projects has recently been increasing, and they are mostly supervised by private construction companies. Therefore, a private construction company that aim to raise gains from the operation of the facilities during the contract period greater than what they invested should b able to accurately calculate the costs from the aspect of Life Cycle Cost (LCC). In particular, a light-rail transit bridge that has a heavier portion from the aspect of the cost of light-rail transit construction requires a more accurate calculation method than the conventional LCC calculation method. For this, an LCC analysis model was developed and a cost breakdown structure was suggested based on literature review. The construction costs by shape of the upper part of a light-rail transit were calculated based on the cost breakdown system presented in this paper, and the cost generation cycle and cost unit price were collected and analyzed based on records on maintenance costs, rehabilitation and replacement. In addition, after forming some hypotheses in order to perform the LCC analysis, economic evaluation was conducted from the aspect of the LCC by using performance data by item.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.747-753
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• 2009

Planning the construction for a system of bored piles in building foundation engineering is (1) to predict the time duration required to complete all the bored piles with due consideration of relevant engineering factors and site constraints; then (2) to predict the total project time generally by aggregating the predicted working duration for construction of each bored pile. The duration for construction of an individual bored pile results from analyzing various working sequences and different activity duration (such as predrilling, excavation, steelfixing, air-lifting, and concreting, etc.), which is informed by experiences and site records of previous projects. However, determining the project duration for constructing many bored piles on one site is much more complicated than adding up the time duration for individual piles. In practice, project schedules are often found to be unrealistic and incorrect during the construction stage. This is because construction planning is not based on a exhaustive and comprehensive evaluation of site factors, such as site layout plan, site constraints, quality control, environmental control, safety control and logical relationships between different trades. In this paper, we identify those factors based on a foundation engineering site in Hong Kong with ninety-seven bored piles and address their effects on uncertainties in activity time and project time.