• Journal of Korean Academy of Nursing
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• v.40 no.3
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• pp.349-358
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• 2010

Purpose: The purpose of this study was to estimate nursing costs and to establish appropriate nursing fees for long-term care services for community elders. Methods: Seven nurses participated in data collection related to visiting time by nurses for 1,100 elders. Data on material costs and management costs were collected from 5 visiting nursing agencies. The nursing costs were classified into 3 groups based on the nurse's visit time under the current reimbursement system of long-term care insurance. Results: The average nursing cost per minute was 246 won. The material costs were 3,214 won, management costs, 10,707 won, transportation costs, 7,605 won, and capital costs, 5,635 won per visit. As a result, the average cost of nursing services per visit by classification of nursing time were 41,036 won (care time <30 min), 46,005 won (care time 30-59 min), and 57,321 won (care time over 60 min). Conclusion: The results of the study indicate that the fees for nurse visits currently being charged for long-term care insurance should be increased. Also these results will contribute to baseline data for establishing appropriate nursing fees for long-term care services to maintain quality nursing and management in visiting nursing agencies.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.131-141
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• 2013

The purpose of this study was to investigate the long-term care hospital nurse's recognition and performance level of hospital infection control. The subjects of the study were 147 long-term care hospital nurses. The period of data collection was from April 1 to 30, 2013. The data were analyzed by SPSS 19.0 program. The result are as followed; First, the total average scores of the recognition and performance by long-term care hospital nurses of hospital infection control were $4.64{\pm}0.32$ and $4.21{\pm}0.23$. Second, recognition of hospital infection control was significantly different according to position and hospital infection control education experience. Performance of hospital infection control was significantly different according to education level and hospital infection control education experience. Third, there was a positive correlation between the degree of recognition and performance of hospital infection control. Therefore, it is suggested to apply the concrete education program to enhance the recognition in order to improve the performance of hospital infection control of the Long-term hospital nurses.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.69-81
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• 2003

To manage a cluster of distributed server systems, a number of management aspects should be considered in terms of configuration management, fault management, performance management, and user management. System performance monitoring and reporting take an important role for performance and fault management. In this paper, we present distributed system architecture modeling of a performance monitoring and reporting tool. Modeling architecture of four subsystems are introduced: node agent, data collection, performance management & report, and DB schema. The performance-related information collected from distributed servers are categorized into performance counters, event data for system status changes, service quality, and system configuration data. In order to analyze those performance information, we use a number of ways to evaluate data corelation. By using some results from a real site of a company and from simulation of artificial workload, we show the example of performance collection and analysis. Since our report tool detects system fault or node component failure and analyzes performances through resource usage and service quality, we are able to provide information for server load balancing, in short term view, and the cause of system faults and decision for system scale-out and scale-up, in long term view.

• Journal of the Korean Society for Library and Information Science
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• v.9
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• pp.99-118
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• 1982

This paper first reviews various techniques proposed for automatic indexing with special emphasis placed on statistical techniques. Frequency-based statistical techniques are categorized into the following three approaches for further investigation on the basis of index term selection criteria: term frequency approach, document frequency approach, and probabilistic approach. In the experimental part of this study, Pao's technique based on the Goffman's transition region formula and Harter's 2-Poisson distribution model with a measure of the potential effectiveness of index term were tested. Experimental document collection consists of 30 agriculture-related documents written in Korean. Pao's technique did not yield good result presumably due to the difference in word usage between Korean and English. However, Harter's model holds some promise for Korean document indexing because the evaluation result from this experiment was similar to that of the Harter's.

• YAKHAK HOEJI
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• v.48 no.3
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• pp.177-181
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• 2004

Non-invasive blood glucose measurement from mouse tail was performed by near-infrared (NIR) spectroscopy. Three groups; normal, type I diabetes (insulin dependent diabetes mellitus, IDDM), type II diabetes (non-insulin dependent diabetes mellitus, NIDDM) group, were studied over a 10 weeks period with the collection of near-infrared (NIR) spectra. Spectral variations from long-term measurement (10 weeks) from dramatic and nonlinear changes in the optical properties of the live tissue sample were compensated by chemometrics techniques such as principle component analysis (PCA) and partial least squares (PLS) regression. The effect from mouse body temperature changes on NIR spectral data was also considered. This study showed that the compensation of variations from long-term measurement and temperature changes improved calibration accuracy of non-invasive blood glucose measurement.

• The Plant Pathology Journal
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• v.38 no.4
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• pp.395-402
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• 2022

To predict rice blast, many machine learning methods have been proposed. As the quality and quantity of input data are essential for machine learning techniques, this study develops three artificial neural network (ANN)-based rice blast prediction models by combining two ANN models, the feed-forward neural network (FFNN) and long short-term memory, with diverse input datasets, and compares their performance. The Blast_Weathe long short-term memory r_FFNN model had the highest recall score (66.3%) for rice blast prediction. This model requires two types of input data: blast occurrence data for the last 3 years and weather data (daily maximum temperature, relative humidity, and precipitation) between January and July of the prediction year. This study showed that the performance of an ANN-based disease prediction model was improved by applying suitable machine learning techniques together with the optimization of hyperparameter tuning involving input data. Moreover, we highlight the importance of the systematic collection of long-term disease data.

• Journal of the Korean Solar Energy Society
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• v.27 no.4
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• pp.167-173
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• 2007

This study analyzed by simulation using TRNSYS as well as by experiment on the solar district heating system installed for the first time for the district heating system in Bundang. Simulation analysis using TRNSYS focused on the thermal behavior and long-term thermal efficiency of solar system. Experiment carried out for the reliability of simulation system. This solar system where the circuits of two different collectors, flat plate and vacuum tube collector, are connected in series by a collector heat exchanger, and the collection characteristics of each circuit varies. Therefore, these differences must be considered for the system's control. This system uses variable flow rate control in order to obtain always setting temperature of hot water by solar system. Specifically, this is a system that heats returning district heating water (DHW) at approximately $60^{\circ}C$ using a solar collector without a storage tank, up to the setting temperature of approximately $85{\sim}95^{\circ}C$ To realize this, a flat plate collector and a vacuum tube collector are used as separate collector loops. The first heating is performed by a flat plate collector loop and the second by a vacuum tube collector loop. In a gross collector area basis, the mean system efficiency, for 4 years, of a flat plate collector is 33.4% and a vacuum tube collector is 41.2%. The yearly total collection energy is 2,342GJ and really collection energy per unit area ($m^2$) is 1.92GJ and 2.37GJ respectively for the flat plate vacuum tube collector. This result is very important on the share of each collector area in this type of solar district heating system.

• Journal of Information Technology and Architecture
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• v.9 no.4
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• pp.413-422
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• 2012

Many researchers have been studied to reveal human natural language to let machine understand its meaning by text based, page rank based or more. Particularly, it has been considered that URL and HTML Tag information in web documents are attracting people' attention again to analyze huge amount of web document automatically. In this paper, we propose a STW (Semantic Term Weight) approach based on syntactic and linguistic structure of web documents in order to classify what genres are. For the evaluation, we analyzed more than 1,000 documents from 20-Genre-collection corpus for training the documents based on SVM algorithm. Afterwards, we tested KI-04 corpus to evaluate performance of our proposed method. This paper measured their accuracy by classifying them into an experiment using STW and one without u sing STW. As the results, the proposed STW based approach showed approximately 10.2% which Is higher than one without use of STW.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.1
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• pp.89-125
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• 2015

The purposes of this study are to compensate for the deficiencies of the presidential records using the documentation strategy and to establish a long-term plan for collecting presidential records that should be considered as references in country governance. For these purposes, this study examined literature reviews, foreign case studies, and the presidential records collection of the United States and Korea, and conducted in-depth interviews in relation to the presidential records collection. Semistructured questionnaires were used for in-depth interviews and 15 target organizations, such as a foundation and memorial affairs agency, central government agencies, and university-affiliated organizations, were selected. A total of 14 records collectors of 12 organizations (82%) of all 17 records collectors of 17 organizations (100%) participated in these interviews, and the interview results were analyzed according to the grounded theory of qualitative research methodology. Based on the accumulated results, this study proposes an effective model in designing collection strategy and operating and collecting presidential records through the use of documentation strategies.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.36-41
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• 2020

This study is a descriptive study to investigate the presenteeism of nursing in long-term care hospital and general hospital. Data collection was conducted from October 01, 2019 to December 30, 2019. 74 nursing in long-term care hospital and 75 nursing in general hospital in this study. The collected data were analyzed using SPSS Win 21.0 program. Long-term care hospital nurses perceived higher health problems, job loss and perceiver productivity than general hospital nurses. This shows that there is no difference in work intensity according to the classification of patients in long-term care hospitals and general hospital nurses. In order to improve the quality of nursing care services in long-term care hospitals, it is necessary to manage the organizational aspects of long-term care hospital nurses' presenteeism.