• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.156-159
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• 1999

역사적으로 악명 높은 대기오염 사고인 뮤즈 계곡(Meuse valley; 1930년 벨기에), 도노라(Donora; 1948년 미국), 런던(London; 1952년 영국) 등의 사례에서 보듯이 대기오염은 기상 상황과 불가분의 관계를 맺고 있음은 주지의 사실이다. 대기오염 모델링에서도 사용된 기상 자료의 정확도가 대기오염 수치모의의 신뢰도를 좌우한다고 해도 과언이 아닌데, 기상 자료 중 바람장은 대기오염 물질의 이류 및 확산을, 온ㆍ습도장은 광화학 반응을 결정하는 중요한 요소이다.(중략)

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.869-882
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• 2004

This paper proposes an effective method to create logically consistent and structured requirement model by applying consistency control approach of the formal method to the use-case modeling. This method integrates the multi-perspective scattered requirement segments that may overlap and conflict each other into a structured requirement model. The model structure can be analyzed based on context goal and concerned area overlap analysis. The model consistency can be achieved by using specification overlap-based consistency checking method as an integration vehicle. An experimental application to case study shows that the Proposed method can successfully identify requirement overlaps and inconsistency. It can also transfer multi-viewpoint requirement segments into a consistently integrated use-case model to clarify software behaviors and functionality This method helps users to enhance capability to identify specification inconsistency in the use-case modeling at the early stage of software engineering development. The proposed approach can also facilitate communication between users and developers to ensure customer satisfaction.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.371-384
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• 2022

The fused LASSO signal approximator (FLSA) can be applied to find change points from the data having piecewise constant mean structure. It is well-known that the FLSA is inconsistent in change points detection. This inconsistency is due to a total-variation denoising penalty of the FLSA. ℓ₁ trend filter, one of the popular tools for finding an underlying trend from data, can be used to identify change points of piecewise linear trends. Since the ℓ₁ trend filter applies the sum of absolute values of slope differences, it can be inconsistent for change points recovery as the FLSA. However, there are few studies on the inconsistency of the ℓ₁ trend filtering. In this paper, we demonstrate the inconsistency of the ℓ₁ trend filtering with a numerical study.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.209-219
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• 2022

Purpose : The purpose of this study was two-fold: to investigate the effects of uncertainty and depression on the quality of life (QoL) of elderly people with chronic diseases and to provide basic data on the physical, emotional, and psychological factors affecting their QoL in the field of physical therapy. Methods : A questionnaire covering uncertainty, depression, and QoL was distributed among 320 elderly people. Pearson's correlation analysis was performed to examine the correlation between uncertainty (ambiguity, complexity, inconsistency, and unpredictability), depression, and QoL (physical, psychological, social, and living environment domains) of the respondents; furthermore, multiple regression analysis was performed to identify the factors affecting the QoL of the respondents with a chronic disease. Results : The sub-factors of uncertainty and QoL-"complexity and social domain" (r=-.295, p<.001), "complexity and living environment domain" (r=-.302, p<.001), and "inconsistency and living environment domain" (r=-.360, p<.001)-showed a negative (-) correlation, as did depression and the sub-factors of QoL-"depression and physical domain" (r=-.782, p<.001), "depression and psychological domain" (r=-.876, p<.001), "depression and social domain" (r=-.668, p<.001), and "depression and living environment domain" (r=-.731, p<.001). The factors affecting QoL were complexity (𝛽=-.122, p<.001), inconsistency (𝛽=-.102, p=.002), unpredictability (𝛽=.112, p<.001), and depression (𝛽=-.850, p<.001). The relative influence of the independent variables was in the order of depression, complexity, unpredictability, and inconsistency, and the explanatory power was 77.1 % (F=215.853, p<.001). Conclusion : It is important to help the elderly with chronic diseases reduce the negative impact on their quality of life by helping them gain support from their families and medical professionals and by increasing their understanding through communication so that they can transition from negative emotions to positive emotions of opportunity.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.3
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• pp.159-174
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• 1996

Facing decision-making tasks, managers frequently make judgments, However, since managers are human beings, the fficiency of their judgments is limited. Two major sources of inefficiency in their judgments have been recognized : one is systematic deviations from normatively preferred decisions, so called bias or incorrect intuition, and the other is inconsistency in their judgments, i. e. erratic decision making variance. Rather than bias, variance is really expensive or damaging. Thus, if the inconsistency inmanagers judgments is removed, performance could be by far improved by virtue of the reduced random variance. One of the approaches to improve managerial judgment is to simply bring managers together by effectively moderating the random variance due to inconsistency. Focusing on combining judgments, this paper addresses many relevant issues such as why combining and how to combine judgments, and suggests methods and models to effectively aggregate subjective judgments, We conduct an experiment to validata the effectiveness of combining jugements over individual judgments. Various combining schemes are also evaluated in terms of their prective accuracy. Among them, mean bias based wighting scheme turns out the best. However, when available information is not enough to estimate the expertise of judges, simple and robust equal weighting might be more efficient and productive. This urges an imperative future research on the issue of how many and which ones to combine from a large set of experts.

• Korean Journal of Logic
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• v.20 no.3
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• pp.335-366
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• 2017

Sorensen proved that 'vague' is vague through a sorites paradox that he presented. I will show that his sorites paradox satisfies the conditions for a sorites paradox and does not satisfy those conditions. So we will face a new paradox which exemplifies inconsistency of conditions for a sorites paradox. But those conditions include a principle which says when two cases are close enough, there will be no change in truth value. It represents an essential feature of vagueness. Therefore the paradox I will present in this article is not only shows inconsistency of conditions for a sorites paradox but also shows inconsistency of vagueness itself.

• Journal of the Korean Society of Clothing and Textiles
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• v.2 no.2
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• pp.287-294
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• 1978

The purpose of this study was to investigate the relationship between clothing interests in the status symbol and the exhibition need and status inconsistency. The exhibition need was measured by Murray's statements on need and some items selected from The Need Diagnosis Scale of Jaung-Kyu Whang. Status inconsistency was measured by the same criteria of Lenski. Three aspects of clothing interests-the status symbol, the fashion and the exhibitionism-were assessed. The questionnaires were distributed to the housewives in Seoul. Data from 511 respondents were analyzed by correlations and $x^2$-tests. The results were: 1) The exhibition need was positively related to interests in the status symbol and exhibitionism of clothing. 2) Status inconsistency was positively related to clothing interests in the status symbol and fashion. 3) The degree of clothing interests in the status symbol and fashion were also positively related to the clothing expenditure and the socioeconomic status of the sample.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.1
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• pp.11-18
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• 1993

The purposes of this study were to identify the most explainable socioeconomic variables influencing clothing selection criteria, and to explore the difference in the clothing seletion criteria among the groups with status inconsistencies. A questionnaire was developed to collect data for clothing selection criteria, and socioeconomic status. Socioeconomic status was measured by education and occupation of husband and wife, and family income. Status inconsistency was defined by the inconsistencies among education, income and occupation. Data were obtained from 369 housewives living in Seoul area. The results of this study were as follows: 1) The education of housewives was the most important variable influencing clothing selection criteria. 2) When the subjects were divided into three groups according to their status inconsistency group, there were partially significant differneces among groups in clothing selection criteria. The "overprivileged" status group attached more importance to the fashionability and psychological dependence than the other status group. The "underprivileged" status group attached more importance to the practicality and ecnomy than the other status group. And when the subject were divided into three groups according to their social mobility, there were sgnificant differences among groups in clothing selection criteria.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.5
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• pp.617-627
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• 1998

In marketing reserach, the ultimate goal is to increase predictability of consumer's purchse behavior. However, most of the marketing researchers measure purchase intention rather than behavior assuming that the consumer's purchase behaviors will coincide with their intentions. Lately, there have been many arguments whether purchase intention is meaningful as a determinant or a predictor for purchase behavior. Additionally, many studies reported substantial variations among the 'product categories. The purpose of this study was to find out the relationship between consumer's purchase intention and purchase behavior of apparel products. Two research questions were set up. One was to find out the relationship between the intention and behavior, and the other was to find out the factors affecting the relationship. It was found out that mere intention could neither explain nor predict behavior, and that the factors affecting intenting intention- behavior inconsistency had to be submitted for explanation and prediction. These factors could explain inconsistency between the intention and the behavior. Regression equations in the past researches explained aggregate results, but coludn't explain each consumer's intention-behavior inconsistency. The integration of the specific intention and the affecting factors can increase predictability of each consumer's purchase behavior.

• Korean Journal of Child Studies
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• v.12 no.2
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• pp.111-129
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• 1991

The present study investigated how the inconsistency between episodes in a story affects judgment of the importance of a sentence. In experiment I, 120 college students read 4 stories containing 3 episodes and judged each of the sentences, one after another. The results of the importance rating showed that adult subjects were sensitive to inconsistency between episodes. The analysis of episodes revealed a significant difference between episodes in all of the 4 stories, with lowest importance ratings given to the inconsistent episodes. In experiment II, 220 children were sampled from a private school of middle S.E.S.Status. 2nd-, 4th- and 6th- graders read 2 stories, and judged the importance of the sentences. It was found that children were less sensitive to inconsistencies in a story than adults. Younger children had more difficulty in the integration of inconsistent information. Especially in the 2nd episode, the importance rating was affected by grade [F(2,2627)=195.52, p<.01], suggesting that 6th graders were more sensitive to inconsistencies than the younger children. In contrast to adults, 2nd graders gave high importance ratings to inconsistent sentences as well as to consistent sentences.