• Journal of Korean Institute of Industrial Engineers
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• v.17 no.1
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• pp.17-27
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• 1991

Whenever environment allows for a more efficient application of the advanced methods published in books or articles, such methods must necessarily be applied in practice. One of the major reasons why the numerous methods are ignored is the lack of experts who could make selections of proper inspection method. An expert system which would perform as if each factory had a resident expert is developed. The expert system is mainly comprised of three parts. The first part presents the performance measures of the inspection methods currently used or inquired. The system includes almost all the inspection methods presented in Schilling's book. The second part presents an appropriate inspection method by inputting various environments through the user interface. The third part prints the inspection methods in accordance with the format which will be used in the field, stores the inspection results that follow, and then administers the acceptance inspection as a system by considering the past results.

• Journal of Microbiology and Biotechnology
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• v.16 no.7
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• pp.1149-1153
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• 2006

In this study, nuclease-resistant RNA aptamers that are specific for Jurkat T leukemia cells were selected by a subtractive systemic evolution of ligands by exponential enrichment (SELEX) method. A randomized nuclease-resistant RNA library was incubated with normal peripheral blood mononuclear cells (PBMC) in each round to preclude RNAs that recognize the common cellular components on the surface of normal and cancer cells. The precluded RNAs were used for the selection of Jurkat T cell-specific aptamers, and the specific RNAs were then gradually enriched from start to the following selections. After 16 rounds of the subtractive SELEX, the selected aptamers were found to preferentially bind to Jurkat T cells, but not to the normal PBMC, evidenced by fluorescence-activated cell sorting analysis. Thus, the subtractive SELEX can be used to identify ligands to cancer-specific biological markers without prior knowledge of the nature of markers. The aptamers could be applied to specific cell sorting, tumor therapy, and diagnosis, and moreover, to find cancer cell-specific markers.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.5
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• pp.15-22
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• 2002

Considering the high temperature durability, the most important issue is to accurately predict the maximum operating temperature of the shell, mat and substrate. This temperature prediction then defines the material selections far the mat, shell and cones, and allows an assessment to be made as to the necessity of heat shielding. In this papers, The commercial code FLUENT was utilized to simulate automotive oval type catalytic converters, with the objective of predicting thermal behavior under steady-state, high-load conditions. Specialized computational models are used to account for effects of heat and mass transfer in the monolith, conjugate heat transfer in the various converter materials, and radiation heat transfer.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.34-35
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• 2006

This paper presents an information collection and a novel inference technique for evaluation of power system operation state. In most developing countries, power demands are steadily increasing and consequently power systems are becoming larger and more complicated. In addition, power system deregulations further complicate the power system operational tasks, which are resulted in prevailing wide area blackouts worldwide. In this paper, we proposed an effective information collection and operating state evaluation methods using a knowledge-based system. The RTS-79 24 bus system is used as a test system. The power system model is composed with JESS templates and included in the knowledge-base as a part of fixed facts. Dynamic informations are collected from various analysis results and actual operational data. Inferences are performed with rules expressed with terms in different abstraction levels. Future research will be concentrated on intelligent contingency selections for preventing wide area blackouts.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.853-858
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• 1993

The error back-propagation(BP) algorithm is widely used for finding optimum weights of multi-layer neural networks. However, the critical drawback of the BP algorithm is its slow convergence of error. The major reason for this slow convergence is the premature saturation which is a phenomenon that the error of a neural network stays almost constant for some period time during learning. An inappropriate selections of initial weights cause each neuron to be trapped in the premature saturation state, which brings in slow convergence speed of the multi-layer neural network. In this paper, to overcome the above problem, Micro-Genetic algorithms(.mu.-GAs) which can allow to find the near-optimal values, are used to select the proper weights and slopes of activation function of neurons. The effectiveness of the proposed algorithms will be demonstrated by some computer simulations of two d.o.f planar robot manipulator.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.29-35
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• 2012

This paper introduces an adaptive control method of strong mutation rate and probability for queen-bee genetic algorithms. Although the queen-bee genetic algorithms have shown good performances, it had a critical problem that the strong mutation rate and probability should be selected by a trial and error method empirically. In order to solve this problem, we employed the measure of convergence and used it as a control parameter of those. Experimental results with four function optimization problems showed that our method was similar to or sometimes superior to the best result of empirical selections. This indicates that our method is very useful to practical optimization problems because it does not need time consuming trials.

• Journal of the Korean Data and Information Science Society
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• v.14 no.3
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• pp.661-671
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• 2003

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So, it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor by Berger and Pericchi (1996) and the fractional Bayes factor by O'Hagan (1995) have been used to overcome this problems. This paper suggests intrinsic priors for testing the equality of two lognormal means, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factors. Using proposed intrinsic priors, we demonstrate our results with real example and a simulated dataset.

• ETRI Journal
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• v.28 no.1
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• pp.77-83
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• 2006

In order to improve the accuracy of cell selection in heterogeneous cellular systems, this paper proposes a fuzzy multiple-objective decision-based cell selection (FMDCS) strategy. Since heterogeneous cellular systems have different access technologies and multiple traffic classes, the strategy adopts cell type, data rate, coverage, transmission delay, and call arrival rate as evaluation indices, and uses different weight vectors according to the traffic classes of the mobile host. Then, a fuzzy multiple-objective decision algorithm is applied to select the optimal cell from all candidates. This paper also gives an instance analysis and simulation. The instance analysis shows FMDCS makes different selections for different traffic classes. Simulation results of the after-handoff quality-of-service (QoS) show the selected cell can provide MH optimal service.

• International Journal of Costume and Fashion
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• v.10 no.2
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• pp.1-13
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• 2010

The purpose of this study is to investigate the behavioral complexities frequently arising in married couples with respect to clothing choices. Symbolic interaction theory was used to understand how spousal influence affects clothing selection after marriage. A convenient sample of nine married couples was interviewed for the data collection. A content analysis revealed how marriage affected their clothing choices, types of communication conveyed with their spouses about clothes and shopping patterns. The primary result indicated that individuals take their spouses' clothing preferences into consideration. Couples exhibited varying frequencies of communication about clothing choices and developed a variety of shopping patterns. As a result of the findings from this study, future research directions are suggested.

• The Korean Journal of Food And Nutrition
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• v.20 no.4
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• pp.509-515
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• 2007

The purpose of this study was to determine the service quality satisfier and dissatisfier factors of family restaurants in Korea by using a qualitative research method, the critical incident technique(CIT). The CIT helps researchers find new factors or attributes by grouping key issues and categorizing common factors from the raw data, critical incidents which critically satisfied or dissatisfied customers. The respondents must describe the incidents in details. There are many previous studies on the attributes related to service qualities, selections, and revisiting intentions and the relationships between the attributes. These studies offer many insights for general trends and directions for managing service qualities, but not how to improve service quality practically. It is difficult to know specific service quality factors especially influencing Korean customers because the factors come from previous research and not from the respondents themselves. Therefore, this research categorized key satisfier and dissatisfier factors from 402 critical incidents described by 261 respondents into 5 groups and 33 subcategories. Real cases and examples are also explained that either critically satisfied for dissatisfied customers at family restaurants.