• 제목/요약/키워드: method of indicators

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Indicator Elimination for Locally Adaptive Scheme Using Data Hiding Technique

  • Chang, Hon-Hang;Chou, Yung-Chen;Shih, Timothy K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권12호
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    • pp.4624-4642
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    • 2014
  • Image compression is a popular research issue that focuses on the problems of reducing the size of multimedia files. Vector Quantization (VQ) is a well-known lossy compression method which can significantly reduce the size of a digital image while maintaining acceptable visual quality. A locally adaptive scheme (LAS) was proposed to improve the compression rate of VQ in 1997. However, a LAS needs extra indicators to indicate the sources, consequently the compression rate of LAS will be affected. In this paper, we propose a novel method to eliminate the LAS indicators and so improve the compression rate. The proposed method uses the concept of data hiding to conceal the indicators, thus further improving the compression rate of LAS. From experimental results, it is clearly demonstrated that the proposed method can actually eliminate the extra indicators while successfully improving the compression rate of the LAS.

디지털 환경에서 대학도서관 평가지표 개발에 관한 연구 (A Study on Developing Evaluation Indicators of University Libraries)

  • 곽병희;이두영
    • 정보관리학회지
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    • 제19권4호
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    • pp.258-296
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    • 2002
  • 본 연구는 도서관 내·외적인 정보환경과 운영환경의 변화요인을 수용하여 디지털 환경에서 대학도서관 평가지표를 개발하는데 있다. 이러한 연구를 수행하기 위하여 문헌연구와 델파이 조사, 본 조사를 실시하였으며, 본 연구를 통하여 규명된 연구의 주요 결과는 다음과 같다. 첫째, 문헌 연구를 통하여 설정한 평가 항목 및 지표의 내용타당도를 검증하기 위한 델파이 조사 결과, 각 평가영역별 평정 값이 3.00이상이고 전체 평균이 4.02이며, 표준편차는 .40~.62 사이에 분포되어 있으므로 델파이 조사결과 평가지표는 타당한 것으로 조사되었다. 둘째, 본 평가지표의 구인타당도를 검증하기 위하여 요인분석을 실시하였다. 그 결과 11개 요인으로 구성된 평가항목의 요인별 누적 변량은 72.733%로서 타당성이 높은 것으로 검증되었다. 셋째, 사서의 특성별로 인지하는 정도의 차이를 검증하기 위하여 유의확률 0.05 수준에서 t-검증과 일원 변량분석을 실시하였다. 이상과 같이 델파이 조사와 본 조사의 결과를 토대로 하여 전체 7개 평가부분 35개 평가항목 92개의 평가지표로 구성된 새로운 평가지표를 개발하였다.

노인요양시설의 서비스 질 평가 지표 개발 및 적용: 구조-과정 측면의 질 평가 (Development and Application of Service Quality Indicators in Nursing Homes: Structure-Process Evaluation)

  • 김문실;이승희
    • 간호행정학회지
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    • 제14권2호
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    • pp.131-143
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    • 2008
  • Purpose: The aim of this study was to develop service quality indicators to evaluate structure and process of the nursing home service. Method: On the basis of literature review and analysis of existing quality indicators, the researcher made a preliminary service quality indicators and verified content validity twice. The final service quality indicators were applied in 30 nursing homes. Results: Preliminarily, 3 domains, 24 sub-domains, and 156 indicators were generated. Through two content validity testings, the indicators scoring over .80 CVI for each testing were adopted and modified by discussion with a panel of experts. The final indicators consisted of 3 domains, 15 sub-domains, and 128 indicators. These indicators were applied in 30 nursing homes. The result showed that they were easily applicable and suitable for a evaluation of service quality in nursing home. Conclusion: This 'service quality indicators in nursing home' was verified by the content validity. This tool will be able to be used for evaluation and improvement of nursing home service quality. However, repeated researches are needed for further validity and reliability.

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뇌혈관질환자에게 적용가능한 간호결과 분류체계의 타당성 검증 (Validation of the Nursing Outcomes Classification on Cerebrovascular Patients)

  • 김영화;소향숙;이은주;고은
    • 성인간호학회지
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    • 제20권3호
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    • pp.489-499
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    • 2008
  • Purpose: The purpose of this study was to assess the importance and contribution of 9 nursing outcomes and their indicators that could be applied to cerebrovascular patients. Methods: Data were collected from 175 neurosurgical nurses working at two university affiliated hospitals and five secondary hospitals located in Gwang-ju. The Fehring method was used to estimate outcome content validity(OCV) and outcome sensitivity validity(OSV) of nursing outcomes and their indicators. Stepwise regression was used to evaluate relationship between outcome and its indicators. Results: The core outcomes identified by the OCV were Tissue Perfusion: Cerebral, Nutritional Status, Neurological Status, and Wound Healing: Primary Intention, whereas highly supportive outcomes identified by the OSV were Oral Health, Self-Care: ADL, and Nutritional Status. All the critical indicators selected for Fehring method were not included in stepwise regression model. By stepwise regression analysis, the indicators explained outcomes from 19% to 52% in importance and from 21% to 45% in contribution. Conclusion: This study identified core and supportive outcomes and their indicators which could be useful to assess the physical status of cerebrovascular patients. Further research is needed for the revision and development of nursing outcomes and their indicators at neurological nursing area.

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임상전문분야별 의사 설문조사를 통한 병원서비스 평가 방법 연구 (A study on a hospital services evaluation method by physician survey)

  • 장원기;문옥륜
    • Journal of Preventive Medicine and Public Health
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    • 제29권4호
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    • pp.815-829
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    • 1996
  • A physician survey was done by mailing for the purpose of performing hospital services evaluation and ranking. A slightly over one thousand samples were drawn from the list of professional societies, and 324 physicians(about 32 percent) replied. This study has focused on developing easy and simple method to evaluate hospital services, and providing patients with useful information. Hospital service structure and process were evaluated without outcome evaluation, because it is difficult to obtain reliable data regarding health services outcome indicators. Clinical specialty was targeted to evaluate, and three specialties were chosen, that is obstetrics & gynecology, cardiology, and proctology. Among 16 structural indicators, four indicators were finally chosen in each specialty by respondent specialists. And then using these indicators, structural score was calculated for study hospitals. For process evaluation, physicians were requested to nominate five most famous hospitals. The nomination score and structural score were summed up to produce final score and hospital ranking. This method is very easy to conduct rather than other hospital services evaluation methods prevailing in Korea. And it is more useful for patients to choose hospitals, according to his/her own purpose, because it gives high ranking hospitals with specific clinical specialty.

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온라인 뉴스와 거시경제 지표, 금융 지표, 기술적 지표, 관심도 지표를 이용한 코스닥 상장 기업의 기계학습 기반 주가 변동 예측 (Machine Learning Based Stock Price Fluctuation Prediction Models of KOSDAQ-listed Companies Using Online News, Macroeconomic Indicators, Financial Market Indicators, Technical Indicators, and Social Interest Indicators)

  • 김화련;홍승혜;홍헬렌
    • 한국멀티미디어학회논문지
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    • 제24권3호
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    • pp.448-459
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    • 2021
  • In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

디지털 환경에서 대학도서관 평가지표 개발에 관한 연구 (A Study on Developing Evaluation Indicators of University Libraries in Digital Environment)

  • 곽병희
    • 한국정보관리학회:학술대회논문집
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    • 한국정보관리학회 2002년도 추계학술발표논집
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    • pp.23-65
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    • 2002
  • This study is to consider varying factors of internal/external informational and operational environments in libraries, and develop a new evaluation indicators for university libraries in digital environments. In order to do this research, the previous works have been investigated, and the Delphi study and our own analysis have been performed. The main research results are as follows. First, the results through the Delphi method that was to adopted to verify evaluation items and indicators determined by the literature review show that the repressed values for each evaluation category is greater than 3.00. overall average is 4.02. and standard deviation is ranged from 0.40 to 0.62 for each category. This means that the evaluation indicators are valid. Second, the factor analysis was performed to verify the construct validity of evaluation indicators. As a result. the cumulative variance of evaluation indicators consisting of 11 dimensions per factor is 72.733%. In turn, this result shows that the validity of these indicators is very reliable. Third, t-test and one way ANOVA are performed within significance probability 0.05 in order to verify differences in each librarians point of views for the degree of importance in evaluation indicators. The results show that these evaluation indicators are verified to be appropriate since there is no significant difference. Based on the Delphi study and our own analysis. we developed a new evaluation indicators that consists of 7 evaluation categories, 35 evaluation items, and 92 evaluation indicators.

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데이터마이닝을 이용한 의료의 질 측정지표 분석 및 의사결정지원시스템 개발 (Analysis of Healthcare Quality Indicators using Data Mining and Development of a Decision Support System)

  • 김혜숙;채영문;탁관철;박현주;호승희
    • 한국의료질향상학회지
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    • 제8권2호
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    • pp.186-207
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    • 2001
  • Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

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환경지표를 이용한 연안습지의 평가 (Evaluating Coastal Wetland Using Environmental Indicators)

  • 이동근;방광자
    • 농촌계획
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    • 제4권2호
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    • pp.70-78
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    • 1998
  • The objective of this study was to enforce systematic evaluation on the present condition and ecosystem of coastal wetland to use frame of environmental indicators, For this, the indicators for evaluation of coastal wetland were established and were applied to the present condition. Then, the application possibility of this evaluation indicators and management method by group of coastal method are presented. These results present the following consideration in case that the ideal management method on the conservation and development of coastal wetlands was proposed. In case of Kang-hwa island which had the good natural environment, the mlnimum development with maintenance of the present state must be driven. In case of Tae-an which had the good natural environment and development potential, the development that was in harmony with the nature must to be driven. In case of Seo-chon which was previously developed region, the various development programs which had the minimum effects on the natural, living and socio $.$ economic environment must to be provided.

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생물지표를 이용한 통합연안관리 방법 (The Method of integrated coastal management using biological indicators)

  • 박민서;박종화;신용희
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.319-322
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    • 2003
  • Integrated coastal management (ICM) requires robust indicators that gauge the 'health' of the coast in relation to environmental, social and economic activities. Biological indicators(bio-indicators) offer a signal of the biological condition in an ecosystem. Using bio-indicators as an early warning of pollution or degradation in an ecosystem can help sustain critical resources. This review examines the rationale and value of selecting species as bio-indicators of human induced changes within estuaries, using examples from both the western and southern coast. It include a range of biological parameters relating to particular species, groups of species and biological processes. The use of these indicators is critically reviewed and the presence or absence of a relevant framework for their use in Korean ICM programs is discussed.

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