• Journal of Climate Change Research
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• v.9 no.1
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• pp.81-90
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• 2018

"The Framework Act on Low-Carbon Green Growth" specifies the requirements for the development and verification of emission factors for establishing reliable national greenhouse gas statistics. The scope of the regulations covers the development and validation of energy, industrial processes, solvents and other product use, agriculture, land use, land use change and emission and absorption coefficients of the forestry and waste sector as defined in the 1996 IPCC Guideline and GPG 2000, The minerals sector to be covered in this study belongs to industrial processes. As a representative method for quantifying and evaluating GHG emission factors, there are emission grade quality grading and DARS (Data Rating Rating System) in the 'Procedures for Preparing Emission Factor Documents (1997)' reported by US-EPA. However, the above two methods are not specific and comprehensive, and lack the details for accurate emission factor verification. Therefore, there is a need for a method for verifying and quantifying certified greenhouse gas emission factors that reflects characteristics of each industry sector in Korea and accord with IPCC G/L and GHG target management. In this study, we conducted a weighted study on quantitative and evaluation lists of emission factor using questionnaires to develop a more accurate methodology for quantifying national greenhouse gas emission factors in the mineral sector. Quantification and evaluation of emission factor are classified into essential verification and quality evaluation. The essential verifications are : administrative compatibility, method of determining emission factors, emission characteristics, sampling methods and analysis methods, representativeness of data. The quality evaluations consisted of the quality control of the data, the accuracy of the measurement and analysis, the level of uncertainty, not directly affect the emission factor, but consisted of factors that determine data quality.

• Journal of applied mathematics & informatics
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• v.42 no.1
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• pp.179-187
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• 2024

In the Quality Control and inspection processes, the use of attribute sampling strategies is crucial. In this study, we incorporate the neutrosophic fuzzy acceptance sampling plan method to present a fresh approach to attribute sampling plans. Utilizing the benefits of neutrosophic fuzzy sets, the proposed sampling plan method models and assesses the acceptance standards for attribute sampling. We compare the suggested method to already-in-use attribute sampling techniques plans with new attribute six sigma sampling techniques plan is proposed in order to verified its efficacy. The outcomes show the neutrosophic fuzzy acceptance sampling plan's superiority in terms of its capacity to manage uncertainties, account for ambiguity, and produce more precise quality evaluation outputs.

• IE interfaces
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• v.11 no.3
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• pp.209-218
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• 1998

This paper is concerned with the assessment of benefits from water quality improvements. The contingent valuation method (CVM) is employed to directly measure the value of the project for the improvement of the water pollution in the Kumgang area. The perceived value of the improved water quality is investigated by using questionnaires to those concerned living near water-polluted area. The questionnaire includes such questions as the amount to willingly pay, the motivation to pay, the reasons of rejecting the payment, and some socio-economic data. The results of the survey show that (1) non-use value of the environmental goods is perceived to be more important than use-value of the environmental goods; (2) "willingness to pay" for the improved water quality varies according to the degree of educational level. income level and ages; (3) the resistance to pay for the project comes from the "polluter's pay principle".

• Journal of Korean Society for Quality Management
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• v.36 no.3
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• pp.13-21
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• 2008

The orthogonality is an important property in the experimental designs. When we use nearly orthogonal arrays(for example, supersaturated designs), we need evaluate the degree of the orthogonality of given nearly orthogonal arrays. We can use the mutual information as a new criterion for evaluating and testing the degree of the orthogonality of given nearly orthogonal arrays.

• International Journal of Quality Innovation
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• v.9 no.1
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• pp.181-187
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• 2008

Every company tries to know who the best and idealistic customers are and how to identify them by use of the special methods. To solve this problem the diamond model of customer stratification, which is the conceptual model, is introduced in this research. We modified the customer stratification model developed by Narayanan et al. (2007). By use of this model we can find out the most profitable customers and then we can plan to improve the profitability of the rest customer groups.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.1-16
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• 2021

The health functional food market continues to grow, and according to that trend, the subdivision sales of personalized health functional foods, which have been legally prohibited, will be operated as a special regulatory pilot project. Personalized health functional food recommendations have a variety of personalized indicators to consider, and it is believed that algorithmic methods will be needed to proceed in a customized manner considering all of them. This study aims to contribute to the development of the AI-based health functional food recommendation service by studying factors that affect the use of the AI-based health functional food recommendation service. This paper analyzed the intention of use for AI-based health functional food recommendation service based on the information system success model and Technology Acceptance Model. This study considered information quality factors, service quality factor, and system quality factor as independent variables influencing perceived usefulness, perceived ease of use and trust. For empirical analysis, 406 questionnaires were used and the collected data were performed using AMOS 22.0 and SPSS 22.0. Research has shown that the accuracy, timeliness, empathy and availability have a positive effect on usefulness. Understandability and availability has been shown to have a positive effect on ease of use. The accuracy, understandability, empathy and availibility has been shown to have a positive impact on Trust. Usefulness, ease of use and trust all have been shown to have a positive influence on intention of use.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.625-640
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• 2018

Purpose: The scale of a market of mobile payment which was insignificant is explosively being improved by development of various communications technology and achieving rapid diffusion of smart phone. According to this phenomenon, new method of financial dealings through a mobile can be seen as a new paradigm that leads to a change of existing payment work and also recognized as an innovation of information technology. Methods: but a study regarding whether the use of mobile payment service takes an important role as an influencial factor is still insufficient. This study was based on the model of innovation resistance by Ram(1987) and established a hypothesis and a model to confirm how four factors (usability, security, economic feasibility, responsiveness) influence to innovation resistance and the intention of discontinuous use. Results: usability, security were found to be significant predictor variables of innovation resistance to use mobile payment system, but economic feasibility, responsiveness were not found to be significant predictor variables. Conclusion: Providing gave a theoretical foundation for future research in that it presents the variables to consider new forms of mobile payment services, the mobile payment services will need to show a differentiated strategy and traditional marketing strategy.

• Advances in Traditional Medicine
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• v.8 no.2
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• pp.103-110
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• 2008

Herbal medicine is the use of medicinal plants for prevention and treatment of diseases: it ranges from traditional and popular medicines of every country to the use of standardized and tritated herbal extracts. Generally cultural rootedness enduring and widespread use in a traditional medical system may indicate safety, but also efficacy of treatments, especially in herbal medicine where tradition is almost completely based on remedies containing active principles at very low and ultra low concentrations or relying on magical-energetic principles. The efficacy and safety assessments of medicines, whether modern or herbal, invariably encounter challenges or problems during the course of pre-clinical and clinical research. Some of the challenges in evidence-based herbal medicinal research are unique, and the researcher must be cognizant of them in order to safeguard the quality of the data obtained. Key challenges are: the quality of raw materials; appropriateness of biological/pharmacological activity assessment methodology, and data interpretation; standardization methodology; pharmacokinetics and bioavailability of active constituents and metabolites; clinical dosage formulation/production; and clinical study designs and outcome measures.

• Journal of Ecology and Environment
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• v.36 no.1
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• pp.89-94
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• 2013

Diatoms have become an integral part of the UK's freshwater monitoring strategy over the past two decades, mostly in response to increasingly stringent European Union (EU) legislation. The use of diatoms is based on strong correlations between diatom assemblages and environmental variables, and from knowledge of the "expected" (= "reference") state of each river. The nationwide overview of the ecological health of rivers this gives allows those stretches of rivers which fail to meet EU criteria to be identified. This, in turn, allows appropriate remediation measures to be planned. Because diatom assemblages vary in space and time, even within a single water body, effective use of diatoms requires a consistent approach in order to minimise uncertainty. This includes the use of methods which comply with European Standards, a training and accreditation scheme for analysts, and a suite of quality assurance methods. Those aspects of uncertainty that cannot be readily controlled have been quantified and all estimates of ecological status are accompanied by the appropriate "confidence of class" and "risk of misclassification". This, in turn, helps planners prioritise those locations which are most likely to benefit from remediation.

• Women's Health Nursing
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• v.25 no.3
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• pp.299-314
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• 2019

Purpose: This study was to identify health behavior, health service use, and health related quality of life of adult women in one-person and multi-person households. Methods: It was used data from the 7th Korea National Health and Nutrition Examination Survey (KNHANES VII-2017). Subjects were 2,522 women with age of 19 to 64 years in 2017. Complex sampling design and data analysis were performed using SPSS 20.1. Results: Women in one-person households had higher rates of alcohol drinking (${\chi}^2=13.77$, p=.003), smoking (${\chi}^2=16.07$, p=.001), unmet medical care (${\chi}^2=8.77$, p=.004) and non-practice of cancer screening (${\chi}^2=13.77$, p=.003) compared to women in multi-person households. Health-related quality of life was also lower for women in one-person households (t=-2.46, p=.015). Factors affecting health-related quality of life in one-person households were household income, job status, and unmet dental care, having 32.4% explanatory power. One-person household women with low incomes, no jobs, and unmet dental care showed low health-related quality of life. In comparison, factors affecting health-related quality of life of women in multi-person household women were age, education level, unmet medical care, and unmet dental care, having 10.4% explaining power. Women in multi-person households with age of 60-64, low education level, unmet medical care, and unmet dental care showed low health-related quality of life. Conclusion: Health promotion strategies should be developed based on unique understanding of social, economic, and health of adult women in one-person and multi-person households.