• 치위생과학회지
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• 제20권3호
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• pp.126-135
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• 2020

Background: The purpose of this study is to investigate the effects of entrance exam stress on oral health behaviors and subjective oral health status in female high school students. Methods: A self-reported questionnaire was administered to 216 female high school students in the Gwangju area. We performed an independent t-test, one-way analysis of variance (ANOVA), Pearson's correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The average of the entrance exam stress was 2.73, and among the sub-areas, the tension for exam/poor stress was the highest with 3.21. As a result of analysis of general characteristics and subjective oral health status, oral mucosal disease was lower in family income level (p<0.05), bad breath was significantly higher with lower academic performance (p<0.001) and family income level (p<0.05). As a result of oral health behavior and subjective oral health status analysis, dental caries has more than 4 times of caries snacks (per week) (p<0.05), bad breath was found to be more perceived when the average number of daily brushing was 2 or less (p<0.01). Factors affecting subjective oral health status were that dental caries was a patients pressure stress (β=0.202); temporomandibular disorder (β=0.227), xerostomia (β=0.342), and oral mucosal disease (β=0.190) were insufficient spare time; bad breath was academic performance (lower) (β=0.231) and insufficient spare time (β=0.184). There was a statistically significant positive correlation between the subjective oral health status and the subarea of entrance exam stress, excluding future uncertainty stress. Conclusion: It is considered that oral health education should be conducted to prevent oral diseases for students with high parental pressure and insufficient spare time stress as well as finding practical ways to reduce entrance stress.

• 문화기술의 융합
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• 제8권5호
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• pp.147-153
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• 2022

창업의 불확실성과 실패부담감은 대학생과 예비창업자의 창업 의도를 약화하는 요인이며 예술전공 대학생의 창업비율이 저조한 원인이기도 하다. 본 연구는 예술전공 대학생의 주관적 규범과 창업 효능감이 창업 의도에 미치는 영향을 규명하고 하였다. 연구결과 창업 효능감과 주관적 규범은 창업 의도에 유의한 영향을 주는 것으로 나타났다. 또한, 창업교육 지원은 주관적 규범이 창업 의도에 미치는 영향을 조절하며 창업활동 지원은 주관적 규범이 창업 의도에 미치는 영향을 조절하는 것으로 나타났으나 창업사업화 지원은 창업 효능감 또는 주관적 규범이 창업 의도에 미치는 영향을 조절하지 않는 것으로 나타났다. 예술전공 대학생의 창업 활성화 및 효과적인 창업 지도를 위해 창업에 대해 주변인들의 사회적 지지를 보여주는 것과 시제품제작 활동 지원으로 창업 효능감을 높여줄 필요가 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1131-1145
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• 2013

Energy detection is a widely used method for spectrum sensing in cognitive radios due to its simplicity and accuracy. However, it is severely affected by the noise uncertainty. To solve this problem, a blind multiband spectrum sensing scheme which is robust to noise uncertainty is proposed in this paper. The proposed scheme performs spectrum sensing over the total frequency channels simultaneously rather than a single channel each time. To improve the detection performance, the proposal jointly utilizes the likelihood function combined with Gerschgorin radii of unitary transformed covariance matrix. Unlike the conventional sensing methods, our scheme does not need any prior knowledge of noise power or PU signals, and thus is suitable for blind spectrum sensing. In addition, no subjective decision threshold setting is required in our scheme, making it robust to noise uncertainty. Finally, numerical results based on the probability of detection and false alarm versus SNR or the number of samples are presented to validate the performance of the proposed scheme.

• 한국건설관리학회논문집
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• 제4권4호
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• pp.201-211
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• 2003

불확정 요소가 많은 건설 프로젝트에서 코스트 리스크의 분석은 관련 전문가의 통찰력이나 주관적 판단에 의존하는 경우가 많다. 하지만 국내 건설산업의 경우 코스트 리스크 분석시 객관적인 산출근거에 의한 확률만을 고려 할 뿐 계량적 측정이 어려운 주관적 요소를 합리 적으로 반영하기 위한 방법이나 절차를 갖고 있지 못하다. 이와 같은 관점에서 본 연구는 보다 신뢰성이 우수한 비용견적을 위해서 전문가의 주관적인 요소까지 종합적으로 평가하고, 리스크로 인한 비용의 변동을 정량적으로 분석할 수 있는 새로운 로스트 리스크 분석모델을 제시하였다 아울러 실무에서도 간단한 절차에 따라 모델을 체계적으로 수행할 수 있도록 편리한 사용자 인터페이스를 제공해 주는 프로토타입을 구현하였다.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2010년도 추계학술대회
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• 대한산업공학회지
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• 제14권1호
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• pp.57-71
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• 1988

Checklist method is rapid and comprehensive to evaluate in practice. Check items are commonly rated by subjective utility function; i.e., evaluator's significant judgment. Since human judgment includes fuzziness (vagueness) inherently in spite of its significance, fuzzy set theory is useful in this case. The paper illustrates a evaluation method using fuzzy checklist where check items are rated as fuzzy numbers. Pairwise comparison data is used to determine the weights of check items, since it has comparative advantage for human's fuzzy judgment. Sample of BASIC program is provided for microcomputer. When uncertainty is due to subjectivity or imprecision of data, this method can be applied to practical problems widely.

• 산업공학
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• 제9권1호
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• pp.53-62
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• 1996

The Delphi method is widely used for long and middle range forecasting in management science. It is a method by which the subjective data of experts are made to converge using statistical analysis. The Fuzzy Delphi Method(F.D.M.), anew application of the Delphi method using Triangular Fuzzy Numbers(T.F.N.), can help to predict the uncertainty, synthesize the opinion and calculation of those assumed dissemblance index and fuzzy distance. Furthermore, the programming of the F.D.M. process to feed paper and data back to experts can make them more accurately predict the various information.

• Asia Marketing Journal
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• 제14권4호
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• pp.57-75
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• 2013

It is a well-established theory that emotion is influential in cognitive processing. Extensive prior research on emotion has shown that emotional factors, such as affect, mood, and feeling, play as information indicating whether he or she has enough knowledge. Most of their findings focused on the effect of emotional valence (i.g., one's subjective positivity or negativity related with the emotion). Recently, several studies on emotion suggest that there is another dimension of emotion, which affects the type of cognitive processing. The studies argue that emotional certainty facilitates heuristic processing, whereas emotional uncertainty promotes systematic processing. Based on the findings, current study examines the effect of certainty on attitudes and recall. Specifically, the authors investigate the effect of certainty on how much effort individuals use to process advertising information and how certainty affects attitude formation toward the advertised product. The authors also focus on recall to clarify the working mechanism of certainty on attitudes, because recall performance reflects the depth of information processing. Based on previous findings, the authors hypothesize that uncertainty (vs. certainty) leads to more favorable attitudes as well as better recall, and conduct an experiment using a fictitious advertisement with 218 participants. The results confirm the predicted effects of certainty only on attitudes not recall. A possible explanation of this discrepancy between attitudes and recall lies in the measurement method, unaided recall. To rule out this possibility, the authors perform an additional analysis with the participants who recall any correct information of the target advertisement. The results show certainty has a negative effect on both attitudes and recall. A bootstrapping test reveals that recall mediates the effect of certainty on attitudes. This result confirms that certainty decreases elaboration, which in turn leads to less favorable attitudes relative to uncertainty. Additionally, our data shows the association among certainty, recall, and attitudes by showing the indirect effect of certainty on attitudes via recall. This research encourages practitioners in the field to emphasize that they should focus on target audiences' emotional certainty before they provide the persuasive message, by showing that uncertainty promotes effortful processing, which in turn leads to better memory and more favorable attitudes.

• 한국수자원학회논문집
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• 제52권11호
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• pp.931-940
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• 2019

수문모형에서 매개변수는 수문요소를 반영하거나 단순화된 모형을 보완하기 위해 사용된다. 이러한 과정에서 매개변수로 인한 모형의 불확실성이 발생할 수 있다. 따라서, 본 연구에서는 General Likelihood Uncertainty Estimation (GLUE)을 이용하여 SWAT 매개변수의 불확실성을 평가하고자 하였다. GLUE의 우도함수는 정형/비정형 우도를 이용하여 불확실성 해석을 수행하였다. 정형우도는 lognormal 함수를 비정형우도는 Nash-Sutcliffe Efficiency (NSE)를 이용하였다. 우도와 임계치를 선택하는데 주관적인 요소가 포함되지만 정형우도는 상위 30%, 비정형우도는 0.5이상의 NSE 값을 가지는 우도를 선택하여 행위모델을 생성하였다. 연구결과 우도선택과 임계치 선택의 주관성에도 불구하고 정형/비정형 우도는 작은 차이가 있었으나 우도의 선택과 상관없이 일관된 점분포, 사후분포 및 SWAT결과의 불확실성 범위를 나타내었다. 또한, 공통적으로 SWAT매개변수 가운데 기저유출과 관련된 ALPHA_BF가 가장 민감한 것으로 나타났다. 본 연구를 통하여 유역별로 어떤 임계치를 만족하는 SWAT모형 매개변수의 범위를 분류한다면 사용자들이 SWAT모형에 대한 실무적인 혹은 학술적인 접근이 용이해질 것으로 기대된다.

• 농업과학연구
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• 제47권3호
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• pp.509-517
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• 2020

Geographic information system (GIS) sewer network data are a fundamental input material for urban inundation modeling, which is important to reduce the increasing damages from urban inundation due to climate change. However, the essential attributes of the data built by a local government are often missing because the purpose of building the data is the maintenance of the sewer system. Inconsistent simplification and supplementation of the sewer network data made by individual researchers may increase the uncertainty of flood simulations and influence the inundation analysis results. Therefore, it is necessary to develop a basic algorithm to convert the GIS-based sewage network data into input data that can be used for inundation simulations in consistent way. In this study, the format of GIS-based sewer network data for a watershed near the Sadang Station in Seoul and the Oncheon River Basin in Busan was investigated, and a missing data supplementing algorithm was developed. The missing data such as diameter, location, elevation of pipes and manholes were assumed following a consistent rule, which was developed referring to government documents, previous studies, and average data. The developed algorithm will contribute to minimizing the uncertainty of sewer network data in an urban inundation analysis by excluding the subjective judgment of individual researchers.