• Title/Summary/Keyword: Data Quality Model

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Water quality big data analysis of the river basin with artificial intelligence ADV monitoring

  • Chen, ZY;Meng, Yahui;Wang, Ruei-yuan;Chen, Timothy
    • Membrane and Water Treatment
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    • v.13 no.5
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    • pp.219-225
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    • 2022
  • 5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

Future Development Direction of Water Quality Modeling Technology to Support National Water Environment Management Policy (국가 물환경관리정책 지원을 위한 수질모델링 기술의 발전방향)

  • Chung, Sewoong;Kim, Sungjin;Park, Hyungseok;Seo, Dongil
    • Journal of Korean Society on Water Environment
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    • v.36 no.6
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    • pp.621-635
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    • 2020
  • Water quality models are scientific tools that simulate and interpret the relationship between physical, chemical and biological reactions to external pollutant loads in water systems. They are actively used as a key technology in environmental water management. With recent advances in computational power, water quality modeling technology has evolved into a coupled three-dimensional modeling of hydrodynamics, water quality, and ecological inputs. However, there is uncertainty in the simulated results due to the increasing model complexity, knowledge gaps in simulating complex aquatic ecosystem, and the distrust of stakeholders due to nontransparent modeling processes. These issues have become difficult obstacles for the practical use of water quality models in the water management decision process. The objectives of this paper were to review the theoretical background, needs, and development status of water quality modeling technology. Additionally, we present the potential future directions of water quality modeling technology as a scientific tool for national environmental water management. The main development directions can be summarized as follows: quantification of parameter sensitivities and model uncertainty, acquisition and use of high frequency and high resolution data based on IoT sensor technology, conjunctive use of mechanistic models and data-driven models, and securing transparency in the water quality modeling process. These advances in the field of water quality modeling warrant joint research with modeling experts, statisticians, and ecologists, combined with active communication between policy makers and stakeholders.

-A Study on a Mathematical Model for Water Quality Prediction for Rivers- (하천(河川)의 수질예측(水質豫測)을 위한 수치모형(數値模型)에 관한 연구(硏究))

  • Kim, Sung-Soon;Lee, Yang-Kyoo;Kim, Gap-Jin
    • Journal of Korean Society of Water and Wastewater
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    • v.9 no.4
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    • pp.73-86
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    • 1995
  • The propriety of the numerical model application was examined on Paldang resevoir and its inflow tributaries located in the center of the Korean peninsula and the long term water quality forecast of the oxygen profile was carried out in this syduy. The input data of the model was the capacity of the reservoir, catchment area, percolation, diffusion rate, vertical mixing rate, dissolution rate from the bottom of the reservoir, outflow of the resevoir, water quality measurement and meteorology data of the drainage basin, and the output result was the annual estimation value of the dissolved oxygen concentration and the biochemical oxygen demand. The modeling method is based on the measured or calculated boundary condition dividing the water area into several blocks from the macorscopic aspect and considering the mass balance in these blocks. As the result of the water quality forecast, it was expected that the water quality in Northern Han River and Paldang reservoir would maintain the recent level, but that the water quality in the Southern Han River and its inflow tributary would worsen below the grade 4 of the life environmental standard from around 2000 owing to the decrease of DO concentration and the increase of BOD concentration.

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Structural Analysis of the Health Related Quality of Life in Working Women with Preschool Children (미취학 자녀를 둔 취업여성의 건강관련 삶의 질 구조분석)

  • Lee, Hye Gyeong;Kim, Sun-Hee
    • Research in Community and Public Health Nursing
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    • v.31 no.3
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    • pp.223-233
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    • 2020
  • Purpose: The purpose of this study was to construct a model that describes the health related quality of life in working women with preschool children and to verify the goodness of fitness of the model. Methods: The data were collected with a structured self-report questionnaire from 483 working women with preschool children. Results: The modified model showed a reasonable fitness to the data. Social support, job satisfaction, parenting stress, sense of coherence and depression accounted for 78% of the health related quality of life in working women with preschool children. Conclusion: This study suggests that the health related quality of life in working women with preschool children can be improved by reducing parenting stress and depression level, and by increasing social support, job satisfaction, and sense of coherence. Depression can also be managed by reducing parenting stress and by increasing job satisfaction and sense of coherence. Based on the results of this study, it is necessary to develop intervention programs to increase the health related quality of life or to decrease depression in working women.

The Effects of Health Promotion Program on Health belief, Health promoting Behavior and Quality of Life for Middle-aged Women: Based on Health Belief Model

  • Lee, Mi-suk;Kim, Jeong-Mi
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.25-34
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    • 2019
  • Purpose: The purpose of this study was to examine the effects of health promotion program, which was based on the Health Belief Model, on the health belief, health promoting behavior and quality of life for middle-aged women. Methods: The study focused nonequivalent control group pretest-posttest design. Data were collected among 40 middle-aged women (20 were experimental group and 20 were control group) on 1st November 2014 and 25th April 2015. The experimental group received 12 sessions of health promotion program for aging preparation once a week for 12 weeks. Data were analyzed by ${\chi}^2$ and t-test and paired t-test using the PASW 21.0 program. Results: The study results shown that, health belief (t=-2.94, p=.006), health promoting behavior (t=-4.76, p<.001) and higher quality of life (t=-7.65, p<.001) scores of experimental group were higher than the control group. Conclusion: The health promotion program based on the Health Belief Model was effective and increased the health belief and health promoting behavior and quality of life among middle-aged women. It seems health promotion program is necessary to improve middle age women's health and quality of later life.

A Structural Equation Model for Quality of Life of Super-Aged Women

  • Jung-Hyun Choi
    • Journal of Practical Engineering Education
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    • v.14 no.3
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    • pp.609-615
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    • 2022
  • This study aims to investigate the relationship between quality of life, activities of daily living, and depression among Korean super-aged women. In this study, the 7th (2018) data of the Korean Longitudinal Study of Aging (KLoSA) were used. The participants in this study were 363 super-aged women. The mean age was 88.67 years old. Quality of life was significantly related with Activities of daily living (ADL) (r = .34, p < .001), and depression (r = -.47, p < .001). The analysis of the hypothesized model showed a good fit to the data except for the χ2 value (χ2 = 38.8, df = 11, p < .001, CFI = .98, TLI = .96, RMSEA = 0.08). The hypothesized model explained 34% of the variance in super-aged women. The activities of daily living of elderly women had an indirect effect on quality of life via depression. Very old women with a high level of ADL were more likely to be feeling less depression, and elderly people who had less depression were likely to have a better quality of life. The findings thus highlight prevailing depression and activities of daily living as critical foci for clinical management strategies in super-aged women.

An Evaluation of Quality Attributes of Smart Hotel by Using SERVQUAL-IPA Model: Focused on China's Hotel Market (SERVQUAL-IPA 모델을 활용한 스마트 호텔 서비스 품질요소 분석: 중국 호텔 시장을 중심으로)

  • Liang Zhou;Jaehee Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.3
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    • pp.141-151
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    • 2024
  • The purpose of this study is to analyze the characteristic of quality attributes of smart hotels by using a SERVQUAL-IPA model, focusing on Chinese, which has the most proactive approach for the adoption of smart hotel system. Toward this goal, six quality factors-tangibles, reliability, assurance, responsiveness, empathy, and playfulness-were extracted through factor analysis, and IPA was used to appraise the degree of importance and satisfaction for each quality attribute. As a result of the SERVQUAL-IPA model, quality attributes were categorized into four groups of 'keep up the good work,' 'possible overkill,' 'low priority,' and 'concentrate here.'. Furthermore, it was concluded that there is a need to focus on the following elements: 'smart devices can assist customers in emergency situations', 'when the room control system identifies customer needs, the staff can provide prompt service', 'development and improvement of mobile applications that enable customers to control room amenities', 'regular maintenance for smart devices', and 'providing data-driven personalized recommendations through customer activity data analysis'.

The Causality among the Internal Customer Satisfaction, the External Customer Satisfaction and the Customer Loyalty of Medical Service (의료서비스의 내부고객만족, 외부고객만족 및 고객애호도의 인과관계)

  • Paik, Soo-Kyung
    • Journal of Preventive Medicine and Public Health
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    • v.35 no.3
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    • pp.236-244
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    • 2002
  • Objective : To empirically investigate the relationship of internal and external customer satisfactions, service quality, and customer loyalty in medical services. Methods : This essay proposes an integrated model to explain the causality of internal and external customer satisfactions, service quality, and customer loyalty. To this end, a structural model was developed, consisting of the following factors: internal and external customer satisfactions, service quality, and customer loyalty. The study included 214 sets of data, with 107 sets being collected for both out-patients and in-patients. The data were analyzed using AMOS 4.0. Results : We found the greater the internal customer satisfaction, the greater the out-patient quality of service quality. Secondly, the greater the service quality, the greater the external customer satisfaction of both in- and out-patients. The service quality of doctors, compared to that of the nurses, had a greater effect on external customer satisfaction. Thirdly, the service quality of doctors and nurses affected both internal and external customer satisfactions, which ultimately affected the customer loyalty. Finally the greater the external customer satisfaction, the greater the customer loyalty. Conclusion : This Study confirms the positive relationship among the internal and external customer satisfactions, service quality, and customer loyalty, which proves the doctors quality of service is the primary factor for external satisfaction, and customer loyalty relating to medical services.

Development of a Water Quality Model for Streams in an Upland Agricultural Watershed (농촌 유역 상단부의 소하천에서 수질예측모형의 개발)

  • Choe, Hye-Suk;O, Gwang-Jung;Kim, Sang-Hyeon
    • Journal of Korea Water Resources Association
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    • v.33 no.1
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    • pp.73-85
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    • 2000
  • A water quality model was developed for small stream at a upland agricultural watershed. A control volume method was employed to digest the severe variability of stream shape, water quality and discharge at small streams. We estimated optimum reaction coefficients and model structure using a random number generation technique. The index of agreement and coefficient of efficiency were introduced for the model calibration criterion. As the result, the reliability of model parameter estimation could be improved. The applicability of model was tested by a set of sampling results at Yongduckchun in Kimhae. The variability of water quality reaction coefficient was explored through the observed data and using the developed model. model.

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A Study of Verifying e-Portfolio System Success Model in a College Education (대학 e포트폴리오 성공모형의 검증에 관한 연구)

  • Lee, Yun Jae;Kim, Jin-Kyung;Park, Dongjin
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.203-225
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    • 2019
  • Purpose The purpose of this study is to empirically verify an ePortfolio success model which shows the structural causal relationships among the basic modeling constructs. We developed the success model based on DeLone and Mclean(2003) from IS perspective and on Balaban et al(2013) from ePortfolio perspective. And we are focused on the success of ePortfolio system designed for college students and professors. Design/methodology/approach Structural equation modeling techniques were applied to data collected 375 users of the ePortfolio system, K-Folio, at least one semester during one academic year. The structural model was analyzed using a Lisrel 8.54 statistical program. Findings The followings are the findings of the study. First, the constructs of IS success model are well applied to ePortfolio for college education. Second, the proposed model which has direct causal relationships from ePortfolio's quality to performance is more significant than the D&M and Balaban's model(2013). Third, the information quality among ePortfolio quality constructs does not have effect on system usability and performance. It means that information contents' quality issued by professor or system manager is not satisfied with the students yet. Finally, by using indirect analysis of structural equation model, we found that the ePortfolio operation manager should focus on ensuring system maintenance activities and providing fast and accurate services for improving ePortfolio performance.