• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.1
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• pp.83-94
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• 2018

This study presents an integrated evaluation method to assess the level of achievement of quantitative expansion goals and qualitative improvement goals based on the Aichi Biodiversity Target 11 for quantitatively expanding and qualitatively improving national protected areas. The quantitative evaluation indicators for national protected areas are the percentage of terrestrial and inland water areas protected and the percentage of marine and coastal areas protected. The quantitative evaluation indicators for national protected areas are selected as 6 indicators: 1) ecologically important areas, 2) ecological representativeness, 3) management effectiveness, 4) connectivity, 5) social equity and 6) integration. Ecologically important areas are an indicator which evaluates how many areas of particular importance for biodiversity and ecosystem services are included in national protected areas. Ecological representativeness is to assess how well national protected areas represent the ecosystem. Management effectiveness is an indicator which evaluates how effectively national protected areas are conserved and managed, and connectivity is an indicator to assess how well national protected areas are connected. Social equity is evaluating how equitably national protected areas are managed and the integration is assessing how much national protected areas are integrated into the wilder landscape and seascape. This study is significant in that it provides a perspective of qualitative improvement as well as quantitative expansion of national protected areas for biodiversity conservation through accurately understanding Aichi Biodiversity Target 11.

• Fashion & Textile Research Journal
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• v.18 no.5
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• pp.695-707
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• 2016

This study presents quantitative evaluation standards for the shape fitness test, conducted in the process of the slacks fit test. This study aims to quantify appearance sensory test of slacks for the objectification of qualitative evaluation methods in existing shape fitness tests. The subjects were women of standard body type between the ages of 18 and 24. Slacks differing in their ease in waist girth, hip girth, crotch length and knee length were designed to test their shape fitness. The gap volume distribution between the body and slack, angle of the baseline by body part, and ratio of total thickness from the sideline using 3D human body scan data (which reflect the results of the appearance sensory test) were presented as quantitative evaluation standards. There were less wrinkles in the wrinkle/overstretch and ease categories of the appearance sensory test; in addition, ease was adequate and small enough to comfortably perform basic human activities in the standing upright posture. The gap volume distribution analysis between body and slacks showed that curves increased in the slacks surface along with an increase of ease in slacks and suggested that wrinkles also increased. In the baseline's horizontal categories in terms of a $0^{\circ}$ horizontal angle, the range of angles were evaluated as adequate by the clothing expert group. The total thickness ratio of 0.5:0.5 divides into the sideline from the baseline.

• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.47-59
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• 2013

Objectives: To investigate the current status and challenges of research methodology for health promotion research (HPR), this study analyzed HPR funded by the Korea Health Promotion Foundation (KHPF) from 2005 to 2011. Methods: All of the research reports funded by the KHPF for the period were included in this study. From the literature reviewed, a framework of this study was developed. Results: Quantitative research was 67.7%. The most common quantitative research design was cross-sectional survey (46.6%). Only 7.3% of quantitative research employed theoretical frameworks, and more than a half (53.4%) used primary data. For qualitative research (2.8%), most cases were conducted together with quantitative research. No qualitative research employed a philosophical underpinning. Only 7.0% of research received consent form, and 2.1% was approved by institutional review board. The results of this study indicate that there is a need to employ various research methods to study key concepts of HPR more in-depth. Efforts should be made to reduce statistical errors and also employ newly introduced statistical methods. Conclusions: Overall, a lack of scientific evidence from the HPR reports analyzed in this study was observed. Therefore, the KHPF and the academia should work together to solve the problems indicated from this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4863-4870
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• 2015

Currently, as a priority to secure the safety of the railway signalling system, verification for satisfy of the safety integrity requirements(SIR) is required to the essential elements. Safety Integrity Requirements(SIR) verification is performed based on the system safety analysis. But the probability of securing basic data for system safety analysis significantly dropped because there is no experience yet performed in the country. Therefore we are had to rely on a qualitative analysis. There are methods such as qualitative risk analysis matrix, and risk graphs. The qualitative analysis is wide, the width of the accident. However, the reliability of the result is significantly less has a disadvantage. Therefore, it should be parallel quantitative safety analysis of the system/products in order to compensate for the disadvantages of the qualitative analysis. This paper presents a quantitative safety analysis method to overcome the disadvantages of the qualitative analysis. And through a result, highly reliable Safety Integrity Requirements(SIR) verification measures proposed. Verification results, the dangerous failure incidence for vital data processing device was calculated to be $1.172279{\times}10^{-9}$. The result was verified to exceed the required safety integrity targets more.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.25-30
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• 2002

The problem of qualitative reliability system is very important issue in the digitalized nuclear power plant, because the failure of its system brings about extravagant economic loss, extensive environment destruction, and fatal damage of human. Therefore this study is to develop the reliability evaluation model through the normalized scoring model by the quantitative and qualitative factors considering the advanced safety factors In the Advanced Pressurized water Reactor 1400MWe(APR 1400) under uncertainty Especially, the qualitative factors considering the information and human factors for the systematic and rational justification have been closely analyzed. The reliability evaluation model can be simply applied in real fields in order to minimize the industrial accident and human error in the digitalized nuclear power plant.

• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.

• Journal of the Korean Society for Railway
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• v.10 no.4
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• pp.420-430
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• 2007

It is reported that many users of the subways in Seoul are not currently satisfied with the subway services. The cause of the dissatisfaction is that the qualitative items and indexes are not considered properly, and also does not diversify the evaluation items to follow the change of subway environment. Therefore in this study the evaluation items and indexes that can reflect of the subway users' characteristics are examined and synthesized. Then the characteristics of service are analyzed for the senior subway system users and junior subway system users that are classified with the cluster analysis. The result of the study is that the majority of users on subway are not satisfied the qualitative items which are safety, kindness, comfortableness, convenience excepting for punctuality and accessibility. So, if the service of subway users improve, the qualitative items is needed to consider with quantitative items.

• Journal of Technology Innovation
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• v.9 no.1
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• pp.1-19
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• 2001

Importance of technology evaluation cannot be overemphasized to support the effective investment policy. Most of the technology evaluation relies on either quantitative analysis for the value or qualitative comparison due to some attribute. When qualitative comparison is made, typically not only individual attribute. but also overall score is evaluated by the committee of experts. In this paper, we consider the qualitative evaluation procedure used in a venture incubating center and validate if the relationship between the average score of individual attribute and the overall score is significant. Additionally, we identify if the initially evaluated scores are good indicators for the realized future value of technology. Structural equation modeling approach is used and we expect that our approach can make important contributions on improving the currently used technology evaluation method.

• Journal of the Korean Home Economics Association
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• v.44 no.8
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• pp.161-169
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• 2006

This study emphasizes the everyday life study based on the proper study method. From the sociological literatures, everyday life's concept, it's various characteristics, two different perspectives and life-history approach are introduced. One Home Economics Paradigm Study published in 1996 is summarized to point out the importance of paradigm shift from quantitative method based on positivism to qualitative study for human everyday life study. I examined our everyday life studies as a reader and a member of screening committee and introduced four articles using different qualitative study methods.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.81-89
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• 1992

After much research on qualitative reasoning, the problem of ambiguities still hampers the practicality of this important AI tool. In this paper, the sources of ambiguities are examined in depth with a systems engineering point of view and possible directions to disambiguation are suggested. This includes some modeling strategies and an architecture of temporal inference for building unambiguous qualitative models of practical complexity. It is argued that knowledge of multiple levels in abstraction hierarchy must be reflected in the modeling to resolve ambiguities by introducing the designer's decisions. The inference engine must be able to integrate two different types of temporal knowledge representation to determine the partial ordering of future events. As an independent quantity management system that supports the suggested modeling approach, LIQUIDS(Linear Quantity-Information Deriving System) is described. The inference scheme can be conjoined with ordinary rule-based reasoning systems and hence generalized into many different domains.