• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.221-227
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• 2018

Purpose: This study aimed to evaluate the effect of illness perception on depression and quality of life in patients with hemodialysis. Methods: This is a cross-sectional study using structural equation modeling. Depression, quality of life and cognitive and emotional illness perceptions were measured by the Center for Epidemiologic Studies Depression-10 (CESD-10), Short Form-36 version 2 (SF-36v2), and Brief Illness Perception Questionnaire (BIPQ) in 272 hemodialysis patients. Results: Prevalence of depression was 76.1%, and higher in female patients on hemodialysis. Cognitive illness perception had effect on depression and quality of life, while emotional illness perception had effect only on depression. Quality of life was explained 69.6% through depression (${\beta}=-.74$, t= -8.17) and cognitive illness perceptions (${\beta}=.21$, t= 3.06), while depression was explained 40.5% through cognitive (${\beta}=-.34$, t= -5.99) and emotional (${\beta}=.59$, t= 9.37) illness perceptions. Conclusion: In the inevitable choice of dialysis, illness perception could decrease depression and improve quality of life in hemodialysis patients.

• Journal of Korean Society of Water and Wastewater
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• v.22 no.1
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• pp.121-129
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• 2008

Major factors affecting water quality in rivers are transportation, input of pollutant loads and kinetic transformation of pollutants. Government level decision makings on water quality management are based on steady state water quality modeling. However, it is more than often that such a steady state assumption is far from real situations in rivers. Therefore, it is unavoidable to have modeling errors in water quality modeling especially for steady state modeling for longer period of time. Authors attempted to identify sources of errors in results of steady state models and thus tried to find out ways to minimize those errors. Three water quality models, QUAL2E (Brown et al., 1983), QUAL2K (Chapra et al., 2006) and CAP (Seo and Lee, 2000) were applied to the lower stream of the Geum River. $BOD_5$ and COD tend to underestimate observed data while TN and TP showed relatively smaller errors. QUAL2E model provided best calibration results for BOD5 and TP and QUAL2K model showed best calibration results for TN. Since these errors are only relative values, it was difficult to conclude which model is better performing in certain situations. The most probable reasons for errors in water quality modeling are; 1) inappropriate consideration on flow characteristics, 2) lack of information on incoming pollutant load and 3) inappropriate location of sampling for water quality analysis.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.53-68
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• 2013

Purpose: The paper presents research that examine relationship difference education quality, satisfaction, loyalty in university education sector. Specifically, the effects of difference education quality on student satisfaction and loyalty in the context of education quality are examined. Methods: A model of difference education quality effect on student satisfaction and loyalty is introduced and tested in the university using student perceptions of provider. Questionnaire was developed, and data was collected and analyzed for this study with SEM(Structural Equation Modeling). Results: The results are as follows: Education capability, BNIE(Business Newspaper In Education) are significantly influenced on student satisfaction. In addition, student satisfaction is significantly influence on external customer satisfaction, professor image. Professor image is significantly influence on student loyalty. Conclusion: Upon learning of student need and want, professor can focus on development of difference education quality based on student need and want.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.76-77
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• 2016

This paper presents an automated construction quality nonconformity control method. Existing quality control process are confined attributed to the dependence on human quality personnels. They are inefficiency for continuos quality improvements and may cause project schedule delays when any nonconformity is handled timely fashion. For sure, It is important to identify the add hoc quality nonconformity control processes and to implement them into an automated system that controls its' work-flow. It would be desirable to develop the construction project quality nonconformity control system using Building information modeling(BIM) and Information and Communications Technologies(ICT). It may provide an effective platform to prevent quality issues that exist in the existing quality management practice.

• International Journal of Quality Innovation
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• v.6 no.1
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• pp.74-97
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• 2005

IDEF0 is the IEEE standard for functional enterprise modeling and has been used for business process modeling or process mapping in US and Europe. But it does not reflect the potential benefits of modeling and simulation of the dynamic aspects of an enterprise or a system. On the other hand, simulation tools concentrate mostly on the simulation of material flows and are difficult to include information flows and control flows. Additionally, the simulation models that include elements such as queues, event generators and process nodes is a visual interactive representation for the model builder, but is inconvenient for the domain expert. In an attempt to fill that void, we provide an integration of business process and simulation models in this paper. An enhancement of the IDEF0, called parameterized IDEF0, is proposed and its conversion mechanism to network simulation model is developed. Using this methodology, business process models for alternative systems can be evaluated and compared through simulation on time, cost, and quality metrics. As an application of the proposed methodology, economic evaluation of EDI (Electronic Data Interchange) for time-based BPR (Business Process Redesign) is demonstrated. In addition to BPR, the developed methodology may be further integrated with ABC (Activity Based Costing), TQM (Total Quality Management), and economic evaluation of information systems.

• Journal of the Korea Institute of Building Construction
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• v.11 no.3
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• pp.265-275
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• 2011

As BIM is now being accepted and broadly expanded in the building industry, the demand for developing, managing, submitting, and checking the BIM models has increased. To meet this demand, it is necessary to develop and spread BIM guidelines, standards, and manuals. Meanwhile, as the number of public construction projects increases, the importance of quantifying the BIM quality checking and evaluation also grows. This study aims to enhance our understanding of the definition and characteristics of BIM quality management, and review the current situation of BIM standards worldwide. In particular, by focusing on BIM quality control and its relevant subjects, the minimum standards for BIM quality management are suggested.

• Journal of Environmental Health Sciences
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• v.28 no.2
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• pp.61-69
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• 2002

Oship stream is located nearby south eastern coasts. This study was performed to find out waters quality modeling and then to predict water quality of Oship stream. Based on survey data, BOD, T-N, T-P calibration and verification result were in good agreement with measured value within mean coefficient variance(MSE) value, which were 13.9%, 9.0%, 26.5% and 19.5%, 12.0%, 16.5%, respectively. Sectional water quality predictions of the main stream of Oship stream are executed on the basis of the following cases 1) with sewage treatment of Dogye-eup 2) reduction of mine wastewater treatment of 80% in th basin. As a result, BOD, T-P improvement rates at down stream of Oship stream, case 1) were appeared 12.2%, 22.2%, case 2) maximum sulfate ion and conductivity reduction removal rate of Oship stream were 58%, 68%. The main pollution sources of Oship-stream were almost domestic wastewater and mine wastewater discharged from Dogye-eup which located in uppers stream. The large effects will appear after the construction of Dogye sewage water treatment plant which remove the organic matter and nutrients in these sewage water. The waste water from mine can not easily to treat for characteristics of effluence and economic problems. However, to achieve the goal of water quality in Oship-stream water system, treatments of those are necessary.

• Journal of Ecology and Environment
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• v.29 no.4
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• pp.343-352
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• 2006

This study investigated the relationship between land cover and the water quality variables in the rivers, which are located in the Yamaguchi prefecture of West Japan. The study area included 12 catchments covering $5,809\;Km^2$. pH, dissolved oxygen, suspended solid, E. coli, total nitrogen and total phosphorus were considered as river water quality variables. Satellite data was applied to generate land cover map. For linking alterations in land cover (at whole catchment and buffer zone levels) and the river water quality variables, multiple regression modeling was applied. The results indicated that non-spatial attribute (%) of land cover types (at whole catchment level) consistently explained high amounts of variation in biological oxygen demand (72%), suspended solid (72%) and total nitrogen (87%). At buffer zone-scale, multiple regression models that were developed to represent the linkage between the alterations of land cover and the river water quality variables could also explain high level of total variations in suspended solid (86%) and total nitrogen (91%).

• Journal of Environmental Science International
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• v.25 no.7
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• pp.1029-1042
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• 2016

The initial and boundary conditions are important factors in regional chemical transport modeling systems. The method of generating the chemical boundary conditions for regional air quality models tends to be different from the dynamically varying boundary conditions in global chemical transport models. In this study, the impact of real time Copernicus atmosphere monitoring service (CAMS) re-analysis data from the modeling atmospheric composition and climate project interim implementation (MACC) on the regional air quality in the Korean Peninsula was carried out using the community multi-scale air quality modeling system (CMAQ). A comparison between conventional global data and CAMS for numerical assessments was also conducted. Although the horizontal resolution of the CAMS re-analysis data is not higher than the conventionally provided data, the simulated particulate matter (PM) concentrations with boundary conditions for CAMS re-analysis is more reasonable than any other data, and the estimation accuracy over the entire Korean peninsula, including the Seoul and Daegu metropolitan areas, was improved. Although an inland area such as the Daegu metropolitan area often has large uncertainty in PM prediction, the level of improvement in the prediction for the Daegu metropolitan area is higher than in the coastal area of the western part of the Korean peninsula.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.05a
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• pp.74-75
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• 2004