• Title/Summary/Keyword: collection term

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Estimation of Nursing Costs Based on Nurse Visit Time for Long-Term Care Services (노인장기요양 방문간호서비스의 소요시간별 방문당 원가 분석)

  • Kim, Eun-Kyung;Kim, Yun-Mi;Kim, Myung-Ae
    • 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.

Recognition and Performance Level of Hospital Infection Control in Nurses of Long-term Care Hospital (요양병원 간호사의 병원감염관리에 대한 인지도와 수행도)

  • Jung, Ha-Yun;Jung, Yun-Kyung
    • 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.

Distributed System Architecture Modeling of a Performance Monitoring and Reporting Tool (분산 시스템의 성능 모니터링과 레포팅 툴의 아키텍처 모델링)

  • Kim, Ki;Choi, Eun-Mi
    • 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.

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Statistical Techniques for Automatic Indexing and Some Experiments with Korean Documents (자동색인의 통계적기법과 한국어 문헌의 실험)

  • Chung Young Mee;Lee Tae Young
    • 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.

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Compensation of Variation from Long-Term Spectral Measurement for Non-invasive Blood Glucose in Mouse by Near-Infrared Spectroscopy (근적외분광분석법을 이용한 생쥐꼬리에서의 비침습 혈당 정량시 장기간 측정에 따른 변이 요인의 보정)

  • 백주현;강나루;우영아;김효진
    • 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.

Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea

  • Lee, Kyung-Tae;Han, Juhyeong;Kim, Kwang-Hyung
    • 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.

Analysis of Long-term Thermal Performance of Solar Thermal System Connected to District Heating System (지역난방 적용 태양열시스템의 장기 열성능 분석)

  • Baek, Nam-Choon;Shin, U-Cheul
    • 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.

A Research for Web Documents Genre Classification using STW (STW를 이용한 웹 문서 장르 분류에 관한 연구)

  • Ko, Byeong-Kyu;Oh, Kun-Seok;Kim, Pan-Koo
    • 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.

A Study of the Use of Documentation Strategies for Presidential Records Collection (대통령기록물 수집을 위한 도큐멘테이션 전략 활용 방안에 관한 연구)

  • Oh, Jung Hee;Chung, Yeon Kyoung
    • 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.

Convergence Comparative Study of Presenteeism by Long-term Care Hospital Nurses Versus General Hospital Nurses (요양병원과 종합병원 간호사의 프리젠티즘의 융합적 비교연구)

  • Lee, So-Young;Hyeon, Il-Seon
    • 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.