• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.573-578
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• 1998

In this paper, we propose a new technique of codification. The purpose of this method is to take in consideration the natural language nuances and the fuzziness that characterizes the human reasoning. So, we warranted a means of more flexible encoding that translates as well the linguistic descriptions. Its principle is simple and intuitive. It consists simply in replacing in ambiguous cases, a unique number by an interval. The introduction of the new codification necessitates the elaboration of metric or similarity in order to compare two intervals. This comparison must take in consideration the difference of their size, the remoteness of their center and the width of their intersection. In consequence, we defined three new fuzzy concepts : "fuzzy inclusion degree", "fuzzy resemblance degree," and " fuzzy curve".

• Journal of the Korean Society of Costume
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• v.40
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• pp.67-80
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• 1998

Being located in the east of the Mediterranean Sea, Cyprus used to play a bridge role of cultural exchanges between the East and the West during period of being occupied. As a consequence the fact that the style of costume might be changed at certain levels during the time is broadly accepted. Basic structure of Cypriot men's clothes during the late of the 19th century to the middle of 20th century is composed of\circled1 baggy trousers(vraka) \circled2 shirt(chemise) \circled3 jacket(ziboune/zibouna) \circled4 waistcoat(yilekko) \circled5 headdress(fez, kourouklin) \circled6 accessories. General composition of women's wear is \circled1 pantaloons(vrandzin) \circled2 shift(poukamiso) \circled3 outer garment(sayia, foustani, Amalia, costume) \circled4 waist kerchief(mandili tis koxas)\circled5 boots(podines)/pumps(goves) \circled6 scarves and accessories. As reviewed above, although men's clothes are still worn on a day to day basis, women's wear continues to exist only for festivals or as a tourist attraction. It was understood that this was an accepted consequence of 20th century modernization and reformation.

• Journal of the Korean Society of Safety
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• v.18 no.1
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• pp.64-70
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• 2003

For the unconfined vapor cloud explosion(UVCE) accident by the continuous release of gas-liquid flow of various saturated liquids in a vessel at ground level, overpressures were estimated by TNT equivalency model with two estimation methods, such as UVCE I model based on a constant release time and UVCEII model based on a real travel time of vapor by dispersion and analyzed with various release conditions. As a simulation result the simple, easy, and correct method of evaluation of consequences of the UVCE accident was proposed by using consequences of UVCE I model and correlation equations for differences of overpressures between UVCE models, so that this evaluation method could be used easily in the small and medium size enterprises without using the dispersion model.

• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.21-27
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• 2007

This paper analyses the effect of parameters on the consequences of the unconfined vapor cloud explosion accident (UVCE) by the release of heavy gas (xylene vapor). Simulation results showed that the overpresure was increased with the increase of the release hole diameter and with the decrease of the interested distance and the wind speed. While, the overpresure was not nearly affected by the release height, weather and environmental conditions. From the results of the consequence analysis and analysis of affecting the consequences of UVCE, the emergency plan should be established taking into account these parameters.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.06a
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• pp.196-196
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• 2000

This paper presents an approach for modeling of the generation of a set of credible accident scenarios for a petrochemical plant, which will be used to perform quantitative hazard assessments such as the consequence assessment, FTA or ETA. This approach is carried out in ways of identifying, classifying a set of major components and elements for scenarios generation by analysis of the informations on various actual accidents, and thus setting priorities of both factors of likelihood and consequence on each component or element identified.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.805-812
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• 1989

An efficient diagnostic approach for real-time operation aiding expert system in chemical process plants is discussed. The approach is based on the hybrid of the simplified symptom tree(SST) and the fault consequence digraph(FCD), representation of propagation patterns of fault states. The SST generates fault hypothesis efficiently and the FCD resolve the real fault accurately. Frame based knowledge representation and object-oriented programming make diagnostic system general and efficient. Truth maintenance system enables robust pattern matching and provides enhanced explain facilities. A prototype expert system for supports operation of naphtha furnaces process, called OASYS, has been built and tested to demonstrate this methodology. Utilization of diversified process symbolic data, produced using dynamic normal standards, overcomes the problem of qualitative Boolean reasoning and enhance the applicability.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.8
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• pp.1045-1056
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• 1995

The purpose of multiple alarm processing is to give the operator the correct information and perception of the malfunction present in the plant. In this thesis, an APS(Alarm Processing System) is studied for fossil power plants. This APS is based on a cause-consequence trees in the knowledge representation aspect for alarm and plant and adapts alarm filtering methods using fired time information in the decision aspect. Through the cause-consequence trees and filtering methods, the Alarm Processing System finds the cause alarm among the fired multiple alarms and calculates the cause degree which represents the possibility of a fault occurring in the instruments of the plant with the information of fired alarm. The knowledge base is built via interviews and questionaries with the expert operators on the Seoul power plant unit 4. Finally, the validity of the studied APS is shown via simulations.

• Nuclear Engineering and Technology
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• v.11 no.3
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• pp.195-202
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• 1979

In this paper, a cause-consequence chart is applied to evaluate the probability that the containment spray system in a nuclear power plant may not be woring properly, given a demand for spryaing at loss of coolant accident (LOCA). It is shown how the diagram provides a basis for calculating two probability measures for malfunctioning of this system, in case the test policy of the system is taken into account, i.e., average probability that the containment spray cannot be established, and average probability that the containment spray is established : spray stops before the required operating time is over.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1755-1767
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• 2009

This article develops the perceived attributes of fashion goods and hierarchical structure among these attributes. In-depth interviews of 12 adult women in the exploratory research and a questionnaire survey of 472 adult women in the empirical research were conducted. The results of the research are as follows: First, a total of 5 perceived subjective attributes of fashion goods are composed of newness, mass fashionability, social compatibility, personal compatibility and self-expressiveness, and the dimensions of the five drawn attributes show a hierarchical causality rather than an equal level. Newness and mass fashionability, perception attributes effect social compatibility and personal compatibility as consequence attributes exert a direct influence on the self-expressiveness represented by value attributes. Personal compatibility and social compatibility as consequence attributes also directly effects self-expressiveness while mediating newness and mass fashionability.

• International journal of advanced smart convergence
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• v.2 no.1
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• pp.12-17
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• 2013

This paper introduces the fuzzy scatter partition-based fuzzy inference system to construct the model for nonlinear process to analyze nonlinear characteristics. The fuzzy rules of fuzzy inference systems are generated by partitioning the input space in the scatter form using Fuzzy C-Means (FCM) clustering algorithm. The premise parameters of the rules are determined by membership matrix by means of FCM clustering algorithm. The consequence part of the rules is represented in the form of polynomial functions and the parameters of the consequence part are estimated by least square errors. The proposed model is evaluated with the performance using the data widely used in nonlinear process. Finally, this paper shows that the proposed model has the good result for high-dimension nonlinear process.