• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.239-248
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• 2014

Most systems used in industrial sites, actually have non-linearity and uncertainty. Therefore there are a lot of difficulties in evaluating conditions of these systems. Generally, the quantitative analysis and expression are found hard because the general public cannot easily make an accurate interpretation on the systems. Thus development of a system that utilizes an expertise from skilled analysts is required. In this research, a real-time sensor signal conditioning system and Fuzzy-expert system have been separately set up into an inference algorithm. So that it ensures a fast, accurate, objective and quantitative operational condition value provided to the manager. Therefore, FE_AFCDM is suggested in this literature, as an effective system for diagnosing the problems related to the air compressor. It can quantify the uncertain and absurd condition to operate the air compressor facilities safely and financially.

• Journal of the Korean earth science society
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• v.23 no.1
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• pp.15-29
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• 2002

Bayesian inversion for gravity and resistivity data was performed to investigate the cavity structure appearing as a lava tunnel in Cheju Island, Korea. Dipole-dipole DC resistivity data were proposed for a prior information of gravity data and we applied the geostatistical techniques such as kriging and simulation algorithms to provide a prior model information and covariance matrix in data domain. The inverted resistivity section gave the indicator variogram modeling for each threshold and it provided spatial uncertainty to give a prior PDF by sequential indicator simulations. We also presented a more objective way to make data covariance matrix that reflects the state of the achieved field data by geostatistical technique, cross-validation. Then Gaussian approximation was adopted for the inference of characteristics of the marginal distributions of model parameters and Broyden update for simple calculation of sensitivity matrix and SVD was applied. Generally cavity investigation by geophysical exploration is difficult and success is hard to be achieved. However, this exotic multiple interpretations showed remarkable improvement and stability for interpretation when compared to data-fit alone results, and suggested the possibility of diverse application for Bayesian inversion in geophysical inverse problem.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.91-101
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• 2013

At the age of uncertainty, the contemporary architecture has been changed by various design approaches as a result of the development of the media. Especially, being issued Phenomenology by Merleau-Ponty the tendency of visual interpretation on the architectural space has been studied positively. This research is to understand a Phenomenological approach to design the interior and architectural space. The phenomenological architectural space is based on knowing about the perception from a body and experience as a contents of the world. The touch from the space designed by Phenomenological architectural express by various way of the Phenomenological light is one of the concept of Phenomenological experience.

• Journal of applied mathematics & informatics
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• v.42 no.5
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• pp.1063-1076
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• 2024

This research introduces an innovative approach to revolutionize inventory management strategies amid unpredictable demand and uncertainties. Introducing a Fuzzy Economic Order Quantity (EOQ) model, enriched with the centroid defuzzification method and supervised machine learning, the study offers a comprehensive solution for optimized decision-making. The model transcends traditional inventory paradigms by seamlessly integrating fuzzy logic and advanced machine learning, emphasizing adaptability in fast-paced business landscapes. The research unfolds against the backdrop of agile inventory management advocacy, with key contributions including the centroid defuzzification method for crisp interpretation and the integration of linear regression for cost prediction. The study employs a real-life bakery scenario to demonstrate the efficacy of both crisp and fuzzy models, underscoring the latter's superiority in handling uncertainties. Comparative analysis reveals nuanced impacts of uncertainty on inventory decisions, while linear regression establishes statistical relationships for cost predictions. The findings underscore the pivotal role of fuzzy logic in optimizing inventory management, paving the way for future enhancements, advanced machine learning integration, and real-world validation. This research not only contributes to adaptive inventory management evolution but also sets the stage for further exploration and refinement in dynamic business landscapes.

• Applied Biological Chemistry
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• v.46 no.4
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• pp.271-279
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• 2003

Various definitions and terminology applied to measurement in analytical chemistry are not always consistent. But, internationally integrated terminology and interpretation of definitions play an essential role in analytical chemistry fields. The review in this paper focused on problems associated with terminology, definitions, statistical theories, and practical performance of calibration and validation.

• The Journal of Small Business Innovation
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• v.19 no.3
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• pp.17-42
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• 2016

Financial Accounting Standards Board (FASB) Interpretation No. 48 (FIN 48), Accounting for Uncertainty in Income Taxes: An interpretation of FASB Statement No. 109, requires firms to evaluate uncertain tax positions and disclose information on their liabilities for these positions, unrecognized tax benefits (UTBs). We analyze the FIN 48 disclosures for calendar-year-end Korean companies listed on NYSE and NASDAQ and examine the Korean firms' tax aggressiveness utilizing the UTBs. The results suggest that stock exchange and firm size do not play a role in the Korean firms' tax aggressiveness, contrary to the matched U.S. firms and that the Korean firm in the miscellaneous retail industry is more tax aggressive than the firms in the communications, depository institutions and business services. In addition, we find evidence that the Korean firms are less tax aggressive than the matched U.S. firms. We also examine the Korean firms' tax avoidance tendencies using other measures of avoidance, leading to mixed results. Finally, we examine the association between the UTBs and other measures of tax avoidance and find a significant and negative association between the UTBs and the long-run cash effective tax rate.

• The Journal of Korean Philosophical History
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• no.31
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• pp.87-111
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• 2011

In moral instruction, one of the important purposes is cultivate students' meaningful moral knowing. To obtain this purpose, generally systems approach has been adopted and used in moral instruction. Systems approach has emphasized efficient designs which do not occur incidental learning that does not contribute to obtain learning objectives. However, moral meaning may occur to the subject of knowing, then occurrence of coincidence can not be excluded. If we approach to moral instruction with operative and engineering ways, we may convey the learning object but it won't be received meaningfully. Because of such problem, moral instruction has been required an alternative perspective contrary to the systems approach. Above all we need to reconsider the logic of explanation based on the systems approach. Because the moral instruction is understood that it is a systematic and operative act according to the logic of explanation. According to the logic of explanation, education is an act that conveys the teachers' knowledge to students who have inferior knowledge to teachers'. During this process, students' interpretation has been overlooked. In moral instruction, the teachers' interpretation of moral meaning can occur and extend by students' interpretation. When we understand moral instruction as the course of alliance between interpretation, it could be stood out that teaching as a symbol, constitution of teaching text as a vacuum, learning as a coincidence. When we stand out these aspects, the moral instruction could be understand as a poetic act. And based on such understanding, we can abstract specific resemblances between the poetic act and the moral instruction. There are semantic invariants and semantic variants in the teaching text of moral instruction. The semantic variants premise uncertainty. The limitation, that is, semantic invariants and the openness which is possible within semantic variants are changed to the moral instruction by students' response. It is essential that a selective attention as esthetic transaction that could be changed from text to poet. Like this, we need to take notice of instructive aspects not to means for reaching learning objectives but to act for being possible disinterested experiential learning.

• Journal of Korean Society of Forest Science
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• v.88 no.1
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• pp.117-123
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• 1999

Consumer surplus is to be a value concerning a time horizon. Especially it is very important how long time horizon would be chosen in contingent market. This study aimed to provide causes of difference recreation benefits through discount rate in many aspects. The data were collected by personal interviews with visitors in Songnisan National Park. The respondents answered yes or no, dichotomous choice, on recreation benefits according to a chosen time horizon, one year or five years. The probit model was used in the analysis. In order to avoid the truncation bias of upper bound, the median was chosen as the recreation benefits of visitor. As the result, the value was evaluated to be 16,569 Won for one year and 27,111 Won for five years. The discount rate is estimated 153% annually to coincide different recreation benefits. The reasons of the high discount rate were to be interpreted as following five types : (1)uncertainty of future consumption (2)increasing of probability of the substitution owing to increasing of time horizon (3)recognization of different time horizons (4) effect by the price ratio of goods and utility function (5) overestimation of the recreation benefits owing to a basic premium of payment vehicle.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.54-68
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• 2009

This study is to examine the structural relationships between relationship learning, their antecedents such as transaction specific assets, and environmental uncertainty, and long-term orientation, overall satisfaction and recontracting intention in the context of the foodservice franchise industry. The data is analyzed with structural equation modeling with Amos 5.0 and SPSS 14.0. The result of the overall model analysis appeared as follows: $x^2=57.75$, df=9, p=0.00, GFI=0.95, AGFI=0.81, RMSR=0.03, NFI=0.92, CFI=0.93. Since the result of the overall model analysis demonstrated a good fit, we could further analyze our data. The results of this study are as follows: First, information sharing of relationship learning had a significantly positive effect on long-term orientation. Second, information sharing of relationship learning did not have a significantly positive effect on overall satisfaction. Third, shared interpretation of relationship learning had a significantly positive effect on long-term orientation and overall satisfaction. Fourth, developing memories of relationship learning did not have a significantly positive effect on long-term orientation and overall satisfaction. Fifth, overall satisfaction had a significantly positive effect on long-term orientation. Sixth, long-term orientation and overall satisfaction had a significantly positive effect on recontracting intention. Finally, transaction specific assets and environmental uncertainty had a significantly positive effect on relationship learning. At the end of this paper, limitations, further research directions, and implications are suggested.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.6
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• pp.97-109
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• 2018

The LDC (Load Duration Curve) method can analyze river water quality changes according to flow rate and seasonal conditions. It is also possible to visually recognize whether the target water quality is exceeded or the size of the reduction load. For this reason, it is used for the optimal reduction of TPLCs and analysis of the cause of water pollution. At this time, the flow duration curve should be representative of the water body hydrologic curve, but if not, the uncertainty of the interpretation becomes big because the damaged flow condition is changed. The purpose of this study is to estimate the daily mean flow of the unit watershed using the HSPF model and to analyze the difference of the flow duration curves according to the cumulative daily mean flow rate using the NSE technique. The results show that it is desirable to construct the flow duration curve by using the daily average flow rate of at least 5 years although there is a difference by unit watershed. However, this is the result of the water bodies at the end of Han River basin watershed, so further study on various water bodies will be necessary in the future.