• Title/Summary/Keyword: Multiple-indicator Model

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Comparative Analysis of Subsurface Estimation Ability and Applicability Based on Various Geostatistical Model (다양한 지구통계기법의 지하매질 예측능 및 적용성 비교연구)

  • Ahn, Jeongwoo;Jeong, Jina;Park, Eungyu
    • Journal of Soil and Groundwater Environment
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    • v.19 no.4
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    • pp.31-44
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    • 2014
  • In the present study, a few of recently developed geostatistical models are comparatively studied. The models are two-point statistics based sequential indicator simulation (SISIM) and generalized coupled Markov chain (GCMC), multi-point statistics single normal equation simulation (SNESIM), and object based model of FLUVSIM (fluvial simulation) that predicts structures of target object from the provided geometric information. Out of the models, SNESIM and FLUVSIM require additional information other than conditioning data such as training map and geometry, respectively, which generally claim demanding additional resources. For the comparative studies, three-dimensional fluvial reservoir model is developed considering the genetic information and the samples, as input data for the models, are acquired by mimicking realistic sampling (i.e. random sampling). For SNESIM and FLUVSIM, additional training map and the geometry data are synthesized based on the same information used for the objective model. For the comparisons of the predictabilities of the models, two different measures are employed. In the first measure, the ensemble probability maps of the models are developed from multiple realizations, which are compared in depth to the objective model. In the second measure, the developed realizations are converted to hydrogeologic properties and the groundwater flow simulation results are compared to that of the objective model. From the comparisons, it is found that the predictability of GCMC outperforms the other models in terms of the first measure. On the other hand, in terms of the second measure, the both predictabilities of GCMC and SNESIM are outstanding out of the considered models. The excellences of GCMC model in the comparisons may attribute to the incorporations of directional non-stationarity and the non-linear prediction structure. From the results, it is concluded that the various geostatistical models need to be comprehensively considered and comparatively analyzed for appropriate characterizations.

Factor Analysis on the Performance of Hospital Customer Relationship Management (HCRM) System (병원고객관계관리시스템의 성과요인 분석)

  • Chun, Je-Ran
    • Journal of the Korea Convergence Society
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    • v.12 no.5
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    • pp.79-84
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    • 2021
  • The objective of this paper is to find out the factors for the performance of the Hospital Customer Relationship Management (HCRM) system. Furthermore, the relationships between these factors have been analyzed. In order to analyze the performance of the HCRM system, factor analysis with several Key Performance Indicators (KPIs) was conducted. And also multiple regression analysis and Chi-square test were executed. In this study, several hypotheses were derived to analyze the relationships between factors of performance of HCRM system. These hypotheses were tested by using the Structural Equation Model (SEM). As the result of this study, we discovered the HCRM-Infrastructure has positive effects on the HCRM-Performance. And the HCRM-Performance has also positive influences on the hospital management performance. On the basis of the research result, we proposed some suggestions and guidelines for the successful implementation and improvement of HCRM system.

A Multiple Regression Analysis on Developing the Profitability Model of Local Cultural Festivals (다중회귀분석을 통한 지역문화축제의 수익성 모형 개발 연구)

  • Choi, Rack-In
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.10
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    • pp.229-239
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    • 2011
  • This study aims to suggest profitability models of local cultural festival to be a focal point of local culture to overcome the abuses as an annual event led by the local government agencies have been in force in every local areas currently, to elicit the local residents' voluntary participation and to engage the outside tourists in connection of a more effective promotion and marketing. The festival is attractive to people with that provoke mirth and inspire curiosity, but the festival is not a one-time event ongoing maintenance enlarge: It is absolutely necessary in order to effort to reach at consumer-oriented quality of service. Also this research intends to present a activation scheme by developing profitability models to make profits while holding a number of risks taking into account the characteristics of the local festival service carried out. To this end, based on established research, leading indicator and expert opinion were analyzed through multiple regression analysis.

Mapping USN Route by Integrating Multiple Spatial Parameters into Radio Propagation Model (다중 공간변수와 전파예측 모델을 통합한 USN 중계 경로망도 제작)

  • Kim, Jin-Taek;Um, Jung-Sup
    • Journal of Korea Spatial Information System Society
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    • v.10 no.1
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    • pp.51-63
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    • 2008
  • Previous studies for routing In USN (Ubiquitous Sensor Networks) appear to be unreliable due to the dependence on non-spatial data and the lack of map overlay analysis. Multiple spatial parameters and radio propagation modeling techniques were integrated to derive RSSI (Received Signal Strength Indicator) value between route nodes and produce a highly reliable path map. It was possible to identify area-wide patterns of USN route subject to many different Influences (e.g. the specific effects of radio blocking factors such as the visible area, road area, cell duplicated area, and building density), which cannot be acquired by traditional non-spatial modeling. The quantitative evidence concerning the USN route for individual cell as well as entire study area would be utilized as major tools to visualize paths in real-time and to select alternative path when failure or audition of route node occurs.

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SOH Estimation and Feature Extraction using Principal Component Analysis based on Health Indicator for High Energy Battery Pack (건전성 지표 기반 주성분분석(PCA)을 적용한 고용량 배터리 팩의 열화 인자 추출 방법 및 SOH 진단 기법 연구)

  • Lee, Pyeong-Yeon;Kwon, Sanguk;Kang, Deokhun;Han, Seungyun;Kim, Jonghoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.25 no.5
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    • pp.376-384
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    • 2020
  • An energy storage system is composed of lithium-ion batteries in modern applications. Batteries are regarded as storage devices for renewable and residual energy. The failure of batteries can cause the performance reduction and explosion of battery systems. High maintenance cost is essential when dealing with the problem of battery safety. Therefore an accurate health diagnosis is required to ensure the high reliability of battery systems. A battery pack is a combination of single cells in series and parallel connections. A battery pack has to consider various factors to assess battery health. Battery health involves conventional factors and additional factors, such as cell-to-cell imbalance. For large applications, state-of-health (SOH) can be inaccurate because of the lack of factors that indicate the state of the battery pack. In this study, six characterization factors are proposed for improving the SOH estimation of battery packs. The six proposed characterization factors can be regarded as health indicators (HIs). The six HIs are applied to the principal component analysis (PCA) algorithm. To reflect information regarding capacity, voltage, and temperature, the PCA algorithm extracts new degradation factors by using the six HIs. The new degradation factors are applied to a multiple regression model. Results show the advancement and improvement of SOH estimation.

Identifying early indicator traits for sow longevity using a linear-threshold model in Thai Large White and Landrace females

  • Plaengkaeo, Suppasit;Duangjinda, Monchai;Stalder, Kenneth J.
    • Animal Bioscience
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    • v.34 no.1
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    • pp.20-25
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    • 2021
  • Objective: The objective of the study was to investigate the possibility of utilizing an early litter size trait as an indirect selection trait for longevity and to estimate genetic parameters between sow stayability and litter size at different parities using a linear-threshold model for longevity in Thai Large White (LW) and Landrace (LR) populations. Methods: The data included litter size at first, second, and third parities (NBA1, NBA2, and NBA3) and sow stayability from first to fourth farrowings (STAY14). The data was obtained from 10,794 LR and 9,475 LW sows. Genetic parameters were estimated using the multiple-trait animal model. A linear-threshold model was used in which NBA1, NBA2, and NBA3 were continuous traits, while STAY14 was considered a binary trait. Results: Heritabilities for litter size were low and ranged from 0.01 to 0.06 for both LR and LW breeds. Similarly, heritabilities for stayability were low for both breeds. Genetic associations between litter size and stayability ranged from 0.43 to 0.65 for LR populations and 0.12 to 0.55 for LW populations. The genetic correlation between NBA1 and STAY14 was moderate and in a favorable direction for both LR and LW breeds (0.65 and 0.55, respectively). Conclusion: A linear-threshold model could be utilized to analyze litter size and sow stayability traits. Furthermore, selection for litter size at first parity, which was the genetic trait correlated with longevity, is possible when one attempts to improve lifetime productivity in Thai swine populations.

A Constructing the Composite Index using Unobserved Component Model and its Application (비관측요인모형을 이용한 종합지표 작성 및 적용)

  • Kang, Gi-Choon;Kim, Myung-Jig
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.1
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    • pp.220-227
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    • 2014
  • This paper introduces and applies the World Bank's methodology for constructing composite index or aggregating indicators. After recalculating the world competitiveness index of IMD using Unobserved Component Model(UCM) we compare it with the existing index and try to find some implications. We also try to construct the composite index for measuring the performance of local finance. We employ the Principal Component Analysis(PCA) for validating the appropriateness of selected indicators used in making the composite index. We found that the UCM and PCA are very useful and will be used widely in various evaluations such as regional development, local finance, local competitiveness and public enterprise, etc.

A Case Study on the Evaluation of Environmental Health Status Focused on Multiple Impact and Environmental Justice (다중 영향 및 환경정의를 고려한 지역 환경보건수준 평가 사례연구)

  • Park, Choong-hee;Han, Hye-ji;Lee, Young-mee;Yoo, Si-eun;Jung, Da-young;Chu, Yeon-hee
    • Journal of Environmental Health Sciences
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    • v.46 no.1
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    • pp.22-34
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    • 2020
  • Objectives: Based on the concept of environmental justice, we developed an evaluation model for setting and adopting the direction of environmental health policy using environmental health indicators and statistics from the local governments of Seoul, including environmentally susceptible populations. Methods: We selected a total of 20 variables based on data officially released from national and local governments. After the classification of these variables into the five components of environmental pressure, environmental status, environmental disease, sensitive population, and socioeconomic status, a basic model was constructed to calculate the relative scores of the local governments. Results: The cumulative impact scores for assessment of environmental health status were similar to those of the environmental pressure and status components. The highest five cumulative impact scores fell between 114 and 147. Local government A reported the highest scores and had high environmental pressure, environmental status and socioeconomic status. In addition, the evaluation of the other four local governments indicated that they exhibited above average scores for environmental pressure and environmental status, two did so for environmental disease, and four for sensitive population. Conclusion: We constructed a model to evaluate the environmental health status of the local governments of Seoul based on cumulative impact scores under the concept of environmental justice. As an approach for studying environmentally vulnerable areas through relative ranking, this model was feasible for policy-setting. In addition, this approach would be an analytically useful tool for decision-makers.

Recognition of a Housewife for Rearing-related Supports of a Husband and its Relationship with Mental Health -Comparison between Korea and Japan - (남편의 육아지원에 대한 부인의 인지와 정신적 건강과의 관련성 - 한국과 일본의 비교 -)

  • Park, Chun-Man;Okada, Setsuko
    • Korean Journal of Health Education and Promotion
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    • v.24 no.4
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    • pp.161-179
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    • 2007
  • To commonly apply the ${\ulcorner}$Measurement parameter for housewives for rearing-related supports of a husband${\lrcorner}$ in Korea and Japan, the current study conducted to confirm the relationship between recognition of a housewife for rearing-related supports of a husband and mental health after reviewing the appropriateness of the parameter. For the statistical analysis, 829 married Korean women in D city and 1,302 Japanese women in S city having children before entering a school were subjected for the study. For reviewing the appropriateness of the parameter, the simultaneous factor analysis that adopted the structural equation modeling was used. As the result of the analysis, 10 categories of factor structural model comprising the ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ resulted with the secondary model which sets of ${\ulcorner}$Recognition for emotional support${\lrcorner}$, ${\ulcorner}$Recognition for instrumental support${\lrcorner}$ and ${\ulcorner}$Recognition for information support${\lrcorner}$ as the primary factor and ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ as the secondary factor, and the model was found to be appropriate for the data in Korea and Japan. The result is considered to prove the constructs validity of ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ parameter. In addition, the relationship between ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ and mental health(GHQ) was reviewed by using multiple indicator model, and found the similarity of Korean and Japanese data. The scores measured by using the above parameter resulted to show high relationship with educational level of housewife, family configuration, and number of children.

Building A Measurement Model of Indicators of National Cultural Power as a Form of National Power and Its Application to the G20 Nations (국력으로서의 문화력 측정지표 모형 개발 및 G20 국가들에 대한 적용)

  • Hwang, Sungdon
    • Journal of Information Technology Services
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    • v.18 no.3
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    • pp.53-74
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    • 2019
  • In this paper, a theoretical measurement model for comparing cultural power of nations as a form of national power is built and applied to the G20 nations. The measurement model is drawn from the literature of the state theories regarding culture, theories of epistemology, and debates about the sources of national power. Taking the multiple indicator approach, indicators reflecting diverse aspects of cultural power are developed are developed. Examined with empirical data, this model is proved as appropriate as a tool for measuring and comparing the cultural power of nations. Diverse aspects of the cultural power of the G20 nations are ranked and interesting points regarding the state and potential of Korean culture and her cultural governance in these respects are elaborated. The overall ranking of the cultural power of Korea is found as the $11^{th}$ while the U.S., U.K. and France respectively as the $1^{st}$, the $2^{nd}$, and the $3^{rd}$. The U.S. is ranked as the 1st in all three aspects of the cultural power of nation: cultural attractiveness, efforts to enhance the national cultural power, and cultural base of a nation. Korea is ranked as $14^{th}$, $11^{th}$, and $6^{th}$ respectively in these three respects of the national cultural power. Based upon typological analysis of the cultural power of Korea, it is found that Korea belongs to Type III. Trying to move eventually toward Type I state via Type II is suggested as a strategy movement for future cultural governance by Korean government and people to enhance her national cultural power.