• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.5-8
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• 2003

This paper presents a methodology to be able to select an appropriate RP system that suits the end use of a part. Evaluation factors used in process selection include major attributes such as accuracy, roughness, strength, elongation, part cost and build time that greatly affect the performance of RP systems. Crisp values such as accuracy and surface roughness are obtained with a new test part developed. The test part is designed with conjoint analysis to reflect users' preference. The part cost and build time that have approximate ranges due to cost and many variable parameters are presented by linguistic values that can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application is selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method. It uses crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using pair-wise comparison matrix. The ranking order helps the decision making of the selection of RP systems.

• The Journal of Information Systems
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• v.14 no.1
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• pp.41-65
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• 2005

The credit ration is a significant area of financial management which is of major interest to practitioners, financial and credit analysts. The components of credit rating are identified decision models are developed to assess credit rating an the corresponding creditworthiness of firms an accurately ad possble. Although many early studies demonstrate a priori which of these techniques will be most effective to solve a specific classification problem. Recently, a number of studies have demonstrate that a hybrid model integration artificial intelligence approaches with other feature selection algorthms can be alternative methodologies for business classification problems. In this article, we propose a hybrid approach using rough set theory as an alternative methodology to select appropriate attributes for case-based reasoning. This model uses rough specific interest lies in lthe stable combining of both rough set theory to extract knowledge that can guide dffective retrevals of useful cases. Our specific interest lies in the stable combining of both rough set theory and case-based reasoning in the problem of corporate credit rating. In addition, we summarize backgrounds of applying integrated model in the field of corporate credit rating with a brief description of various credit rating methodologies.

• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.79-89
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• 2017

Sensory attributes and preferences that contribute to consumer satisfaction with artificial leather were measured by subjective evaluation, and subjective hand and preferences were analyzed in relation to its use. Using tactile and visual senses, 50 experts in fashion and textile industry evaluated leathers classified into two categories, suede and polyurethane coated, according to different manufacturing methods. They answered questions on subjective hand and preferences of different artificial leathers of various fashion items (jackets, purses, bags, shoes, boots, furniture, etc.), using specific adjectives to describe the hand properties. As a result, it was found that the subjective hand properties of artificial leathers were related to 'Thickness', 'Fullness/softness', 'Surface contour', 'Stickiness', and 'Elasticity'. The leather type from different manufacturing methods influenced their perceived hand and preferences relating to use. By use, different hands were preferred. The preferences for jackets and furniture of suede type leathers were related to their surface properties, whereas the preferences for items of the other type of leathers were associated with their resilience. On the other hand, in the case of polyurethane coated leathers, the preferences for jackets were significantly affected by their thickness, while those for the other items were influenced by their resilience and surface properties.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.3
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• pp.167-175
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• 2007

The relations between data from test methods and conditions in structural elements are considered. NDE(Nondestructive Evaluation) methods are joint application of a test and a basis for interpretation of data obtained in the test. Correct assessments of conditions of elements depend on the inaccuracy and variability in the test data and on the uncertainty of correlations between attributes(what is measured) and conditions(what is sought in the inspection). A full description of the performance of NDE methods considers the relation of test data to condition of elements. The quality of the test data itself is important, but equally important is the interpretation that occurs after the test. To make the decision of the performance of NDE methods, this paper presents mathematical basis to measure the reliability of NDE methods.

• Journal of the Korean Society of Safety
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• v.27 no.3
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• pp.189-196
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• 2012

Fire is one of the greatest threats to historical buildings not only to the building's occupants but also to the building's structure and contents. The purpose of this research is to evaluate fire risk in historical buildings in Korea through a series of survey and review. In this research, a multicriteria decision-making approach involving Analytical Hierarchy Process has been designed to determine a weighted index to identify factors and quantify fire risk. Fire risk ranking systems of historical building has been developed in some applications, for example, BOCA, WISCONSIN, FSES and HFRI. According to the such derived fire risk indexing, the Human Activity index showed the highest risk, followed by Historic Buildings, Fire Safety Systems, and then Natural Environmental Causes. Comparison of these factors indicates that the derived risk values differ from case to case. It is proposed that a performance-based design approach should consider the building & occupant characteristics, locations and historical significance, resulting in a more accurate and effective evaluation of fire risk.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1362-1376
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• 2011

This study examines the effect of the structural properties of F/W wool knit fabrics for woman's knitwear on the perceptions of textures and sensible images of consumers and present basic data for textile designing by analyzing the relationship among the structural properties, mechanical properties, objective hand measurements and preferences. A total of 12 kinds of knit fabrics were prepared and investigated in terms of the differences in the subjective, mechanical properties and objective hand measurements according to the structural properties of knit fabrics. The data were analyzed by t-test. The subjective hand attributes of wool knits through factor analysis are categorized into 6 factors. In particular, the 'active/comfort' factor is a meaningful result that reflects the unique characteristics of knit fabrics compared to woven fabrics. Mechanical properties and objective hand measurements have a greater effect on textures than on sensible images; in addition, the structural properties, 'gauge' was the most important factor to influence the subjective evaluation.

• Journal of Dairy Science and Biotechnology
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• v.21 no.2
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• pp.105-113
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• 2003

This study was carried out to investigate the addition of Pueraria derived isoflavone into milk by means of microencapsulation technique. The yield microencapsulation sensory attributes, and capsule stability of Pueraria derived isoflavone microcapsules in milk were measured during 12 days. Coating materials used was polyglycerol monostearate(PGMS. The encapsulation yield of Pueraria derived isoflavone was 72.5% with PGMS when the ratio of coating material to core material was 15:1. The rate of pueraria derived isoflavone release was 15, 20, and 25% when stored at 4, 20, and $30^{circ}C$ for 12 days in milk respectively. In sensory evaluation, beany flavor and color of microcapsuled Pueraria derived isoflavone added milk were significantly different from control and uncapsuled Pueraria derived isoflavone added milk, however, bitterness was not significantly different. In vitro study, microcapsules of pueraria derived isoflavone in simulated gastric fluid with the range of 3 to 6 pHs were released 3.0${\sim}$15.0%, however, the capsules in simulated intestinal fluid with pH 7 were released 95.7% for 40 min incubation time. In conclusion, this study provided that PGMS as coating materials was suitable for the microencapsulation of Pueraria derived isoflavone, and the capsule containing milk was not affected with sensory attribute.

• Asia Marketing Journal
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• v.22 no.2
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• pp.59-85
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• 2020

Combining prior theories on innovation newness with information processing style (imagery vs. analytical), this study presents a theoretical framework; develops hypotheses; and makes predictions on how analytical versus imagery ads influence consumers differently depending on the newness level of products. The study shows that consumers are more likely to evaluate RNPs (radically-innovative new products) positively when they are advertised with imagery cues. Compared with analytical advertisements, imagery advertisements increased advertising effectiveness, product evaluation, and purchase intention of RNPs. These effects were demonstrated by using stimuli from two product categories consisting of washing machines and cars. In particular, in advertisement for RNPs, verbal description that induced imagery processing, such as "picture yourself using this product," was more effective in generating favorable responses, compared to verbal description that induced analytical processing, such as explanation of product attributes. This difference was present for RNPs, but not for INPs (incrementally-innovative new products). INPs are continuous innovations that are easier to understand, thus imagery ads do not provide additional advantage for consumers in understanding the innovation, compared to analytical ads. In RNPs, imagery ads can highlight new benefits that may have been neglected or undervalued by consumers, leading to greater message persuasiveness. Implications for marketing of RNPs are discussed.

• Journal of Practical Agriculture & Fisheries Research
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• v.15 no.1
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• pp.45-52
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• 2013

This study was carried out to investigate the influence of black rice powder addition on quality attributes of cookies. The cookies was made with various black rice powder concentration(3%, 6%, and 9%). The specific volume of cookies didn't show significant difference, and the width determined by the water content in the dough was decreased with increasing content of black rice powder. The L value in the cookies was significantly the largest value in the control group. The a and b values were the highest in the 9% substituted sample group. According to the sensory evaluation of cookies, the scores of color, flavor, and texture were raised by the addition of black rice powder. Overall acceptance of 6% cookies showed higher value than that of the 3% and 9%.

• Journal of Animal Science and Technology
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• v.66 no.2
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• pp.387-397
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• 2024

Pork quality is determined by several attributes, among which odor and taste are the utmost significant. Therefore, this study was aimed to assess the effects of boar odor hormone concentration on the quality traits and sensory acceptability of pork. A total twenty-six (26) non-castrated 3-way crossbred (Landrace × Yorkshire × Duroc) pigs were selected with an average body weight (ABW) 115.6 kg before to slaughter. The three treatment groups (low, medium and high) were divided according to the androstenone concentration. In experiment 1, for meat quality traits carcass was selected based on androstenone concentration: low (LC, 0.64-0.69 ㎍/g, n = 9), medium (MC, 0.70-0.99 ㎍/g, n = 7) and high (HC, 1.00-1.69 ㎍/g, n = 10). In experiment 2, for sensory evaluation carcasses were also selected based on the abovementioned conditions. Results revealed that androstenone concentration not effect on proximate components, meat quality traits and fatty acids except palmitoleic acid. Sensory evaluation data showed that boar taint and meat boar taint were significantly increased in a concentration-dependent manner from low to high, whereas, gravy and meat flavor preference were significantly increased in LC group than HC group. In addition, correlation analysis showed that boar taint and meat boar taint were positively, and gravy and meat flavor preference were negatively correlated with boar taint hormones. In essence, our findings indicate that androstenone concentration had no effect on meat qualities, but a high concentration of androstenone had a negative effect on the sensory characteristics in uncastrated pigs.