• Journal of Korean Home Economics Education Association
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• v.28 no.3
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• pp.65-77
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• 2016

The purpose of this study is to develop an inquiry sheet for the contents of the clothing curriculum of home economics in middle schools using a physical fiber Identification method to increase students' interests in and understanding of clothing materials. Therefore, a physical fiber Identification method suitable to middle school students was developed in actual classrooms and the effects were analyzed. As a result, the physical fiber identification method was developed to distinguish between wool and acrylic knits; moreover, the identification method between silk and polyester fiber was studied. And then the inquiry sheet using fiber identification method was also developed. When interests in learning, attitudes of acceptance toward learning, and learning achievements of the experimental group (used the inquiry sheet) and the control group (did not use the inquiry sheet) were compared, the experimental group scored higher in every category, all of which were meaningful differences. Thus, this study demonstrated that the developed fiber differentiation method and inquiry sheet improved self-directed learning as well as learners' understanding of clothing materials by enabling the application the knowledge to the learners' realities.

• Steel and Composite Structures
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• v.9 no.5
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• pp.445-455
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• 2009

This study proposes a system identification technique for a fiber-reinforced polymer deck with neural networks. Neural networks are trained for system identification and the identified structure gives training data in return. This process is repeated until the identified parameters converge. Hence, the proposed algorithm is called an iterative neural network scheme. The proposed algorithm also relies on recent developments in the experimental design of the response surface method. The proposed strategy is verified with known systems and applied to a fiber-reinforced polymer bridge deck with experimental data.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.47 no.6
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• pp.41-48
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• 2015

Fiber identification was attempted for the early twenty century documents that were classified as national archives in Korea, as an initial step for establishing scientific preservation and restoration method. Fiber staining with C stain and a digital microscope were used for the observation. All the documents observed consisted of mostly softwood fibers from fir (Abies) and other minor supplementary fibers, and they were all deteriorated seriously by various damages and aging process. It seemed that at around 1914-1934, fir was used frequently as papermaking raw material.

• Smart Structures and Systems
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• v.18 no.3
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• pp.389-403
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• 2016

Structural deflection can be identified from measured strains from long gague sensors, but the sensor layout scheme greatly influences on the accuracy of identified resutls. To determine the optimal sensor layout scheme for accurate deflection identification of the tied arch bridge, the method of optimal layout of long-gauge fiber optic sensors is studied, in which the characteristic curve is first developed by using the bending macro-strain curve under multiple target load conditions, then optimal sensor layout scheme with different number of sensors are determined. A tied arch bridge is studied as an example to verify the effectiveness and robustness of the proposed method for static and dynamic deflection identification.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.772-780
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• 1998

The purpose of this research was to investigate the fiber content of and the characteristics of non-fibrous matters within the textiles exhumed from Keumreung-Ri, Pajoo of Kyunggi-do. Various microscopic methods' and the IR spectroscopy were used for the identification of fibers. The KS K 0251 Test Method as well as the IR spectroscopy and the SEM were used for the analysis of econ-fibrous matters. Fiber identification showed that each of the Pajoo samples were composed either of silk, cotton, or ramie. The results of the analysis of non-fibrous matters were as follows. The amount of water-extracted compound exceeded that of chloroform-extracted compound in both Pajoo 2 and Pajoo 5 samples. In Pajoo 5 sample which have already been dry cleaned using the mixed solution of n-hexane and n-dacane, the amount of chloroform extracted compound was 0% of the total extracted matter. The enzyme and HCI disintegration steps further removed the soils those were nonsoluble in water or chloroform. The most extraction was achieved at the HCI extraction stage.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.05a
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• pp.588-593
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• 2007

Fiber reinforced polymer(FRP) composite decks are new to bridge applications and hence not much literature exists on their structural mechanical behavior. As there are many differences between numerical displacements through static analysis of the primary model and experimental displacements through static load tests, system identification (SI)techniques such as Neural Networks (NN) and support vector machines (SVM) utilized in the optimization of the FE model. During the process of identification, displacements were used as input while stiffness as outputs. Through the comparison of numerical displacements after SI and experimental displacements, it can note that NN and SVM would be effective SI methods in modeling an FRP deck. Moreover, two methods such as response surface method and iteration were proposed to optimize the estimated stiffness. Finally, the results were compared through the mean square error (MSE) of the differences between numerical displacements and experimental displacements at 6 points.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.565-570
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• 2007

Fiber reinforced polymer(FRP) composite decks are new to bridge applications and hence not much literature exists on their structural mechanical behavior. As there are many differences between numerical displacements through static analysis of the primary model and experimental displacements through static load tests, system identification (SI)techniques such as Neural Networks (NN) and support vector machines (SVM) utilized in the optimization of the FE model. During the process of identification, displacements were used as input while stiffness as outputs. Through the comparison of numerical displacements after SI and experimental displacements, it can note that NN and SVM would be effective SI methods in modeling an FRP deck. Moreover, two methods such as response surface method and iteration were proposed to optimize the estimated stiffness. Finally, the results were compared through the mean square error (MSE) of the differences between numerical displacements and experimental displacements at 6 points.

• The Korea Journal of Herbology
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• v.22 no.2
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• pp.109-114
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• 2007

Objectives : A morphological classification among Sinomenium acutum, Cocculus trilobus and Aristolochia fangchi was made through microscopic observation. Method : The slice of the tested material made by paraffin section technique was colored with Safranine Malachite Green contrast methods, and then observed and photographed by olymphus-BHT. Result : 1. Fiber bundles of pericycle in S. acutum are like a crescent moon, stone cells were found among fiber bundles, and starch grain and raphides of calcium oxalate were included in parenchyma. 2. C. trilobus has the fiber bundle of pericycle resembling a crescent moon, but does not have the raphidesof calcium oxalate. 3. A. fangchi has the raphides of calcium oxalate, but does not have the fiber bundles of pericycle. 4. Stems and roots of S. acutum arc mostly similar, but only stems have the pith. Conclusion :' C. trilobus and A. fangchi can be distinguished from each other by the fiber bundles of pericycle and the raphides of calcium oxalate.

• Food Science and Biotechnology
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• v.16 no.3
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• pp.337-342
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• 2007

Conventional methods for pathogen detection and identification are labor-intensive and take days to complete. Biosensors have shown great potential for the rapid detection of foodborne pathogens. Fiber-optic biosensors have been used to rapidly detect pathogens because they can be very sensitive and are simple to operate. However, many fiber-optic biosensors rely on manual sensor handling and the sandwich assay, which require more effort and are less sensitive. To increase the simplicity of operation and detection sensitivity, a binding inhibition assay method for detecting Listeria monocytogenes in food samples was developed using an automated, fiber-optic-based immunosensor: RAPTOR (Research International, Monroe, WA, USA). For the assay, fiber-optic biosensors were developed by the immobilization of Listeria antibodies on polystyrene fiber waveguides through a biotin-avidin reaction. Developed fiber-optic biosensors were incorporated into the RAPTOR to evaluate the detection of L. monocytogenes in frankfurter samples. The binding inhibition method combined with RAPTOR was sensitive enough to detect L. monocytogenes ($5.4{\times}10^7\;CFU/mL$) in a frankfurter sample.

• Steel and Composite Structures
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• v.22 no.1
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• pp.13-24
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• 2016

In the present paper, glass fibers are substituted partially with monofilament fishnet and polyester matrix for making the composites. The composite specimens were prepared in accordance with ASTM for analyzing the flexural strength and dynamic mechanical properties. Furthermore, machinability revealed the interaction of glass fiber and partial substituted monofilament fishnet fiber with the matrix. Fiber pullouts on the fractured specimen during the physical testing of the composites are also investigated by COSLAB microscope. The results reveal that the fishnet based composites have appreciably higher flexural properties. Furthermore, the glass fiber, woven roving and fishnet composite has more storage modulus and significant mechanical damping. The composite specimens were fabricated by hand lay-up method. Hence, these composites are the possible applications to develop the value added products. The results of this study are presented.