• Journal of the Korean Society of Costume
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• v.57 no.3 s.112
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• pp.1-13
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• 2007

The Purpose of this study is to analyze the kinds and positions of tattoo patterns on the body in tattoo-related internet communities and professional web sites. for this purpose, 1,892 tattoo patterns were analyzed by sex(man and woman). The results were as fellows; First, animal patterns(30.2%) occupied most, followed by character patterns(24.1%), geometric patterns(13.0%), natural patterns(10.3%), plant patterns(4.7%), mixed patterns(2.5%), and artificial patterns(2.2%). In patterns, dragon(10.3%) occupied most, followed by star(8.7%), trival(8.6%), woman(7.6%), skeleton(4.9%), and letter(4.8%). Second, men's preference to pattern groups included animal patterns(30.8%), character patterns (28.3%), geometric patterns (14.6%), and natural patterns(6.0%). Among patterns, dragon(13.4%) was the most frequent, followed by trival(10.9%), woman(10.7%), and skeleton(7.1%). Women's preference to patterns groups included animal patterns(31.4%), natural patterns(17.3%), character patterns(17.2%), geometric patterns(10.5%), and plant patterns(10.0%). Among patterns, star(15.3%) was the most frequent, followed by butter- fly(10.5%), elf(9.2%), and dragon(9.2%). Third, the positions of tattoos on the body included upper arm(26.6%), shoulder(10.8%), back(10.5%), the wrist(10.0%), the calf(7.5%), back bottom(7.0%) and the breast(6.3%). While men's preference to pattern positions included upper arm(38.2%), the wrist(13.7%), back(10.5%), the calf(9.4%), and shoulder(8.0%), women's preference to positions included back bottom(17.7%), shoulder(15.5%), back(10.5%), front bottom(8.2%), and the breast(7.8%).

• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.515-522
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• 2014

In order to quantitatively evaluate the effect of fly ash (FA) as partial replacement of cement on the life-cycle environmental impact of concrete, a comprehensive database including 4023 laboratory mixes and 2120 plant mixes was analyzed. The environmental loads on the life-cycle assessment were quantitatively converted into environmental impact indicators through categorization, characterization, normalization and weighting process. The life-cycle environmental impacts of concrete could be classified into three categories including global warming, photochemical oxidant creation and abiotic resource depletion. Furthermore, these environmental impacts of concrete was decreased with the increase of the replacement level of FA and governed by the unit content of ordinary portland cement (OPC). As a result, simple equations to assess the environmental impact indicators could be formulated as a function of the unit content of binder and the replacement level of FA.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09b
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• pp.81-87
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• 2010

As enormous construction projects of land development are carried out around Korea, useful construction materials are needed to perform the construction projects. However, there are no more enough of fill and reclamation materials in our country. That is why the coal ash is expected to be utilized as an alternative material. Since the coal ash has the characteristics of a pozzolan and a selfhardening material, it is adjudged that coal ash has a great possibility to be used as a fill and reclamation material. In this study, grain size analysis, Atterberg limit test, and specific gravity test were performed to examine the physical characteristics of the coal ash about a self-hardening material before utilizing the coal ash in the construction. Compaction test, unconfined compression test were conducted to investigate the engineering characteristics according to mixture ratios of fly ash and bottom ash. As a result of the tests, it was confirmed that the mixing ratio 1:1 of fly ash and bottom ash is the most effective to use as a fill and reclamation material. If the mixture of coal ash is used as a backfill material with light weight around structure, it is expected to play a significant role in reducing earth pressure on the back of the structure. As described above, the coal ash should be considered as an alternative material of fill and reclamation materials since the result of the tests indicates that the coal ash is suitable to a useful material on the construction design.

• International Journal of Concrete Structures and Materials
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• v.6 no.3
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• pp.177-186
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• 2012

The temperature distributions of concrete structures strongly depend on the value of thermal conductivity of concrete. However, the thermal conductivity of concrete varies according to the composition of the constituents and the temperature and moisture conditions of concrete, which cause difficulty in accurately predicting the thermal conductivity value in concrete. For this reason, in this study, back-propagation neural network models on the basis of experimental values carried out by previous researchers have been utilized to effectively account for the influence of these variables. The neural networks were trained by 124 data sets with eleven parameters: nine concrete composition parameters (the ratio of water-cement, the percentage of fine and coarse aggregate, and the unit weight of water, cement, fine aggregate, coarse aggregate, fly ash and silica fume) and two concrete state parameters (the temperature and water content of concrete). Finally, the trained neural network models were evaluated by applying to other 28 measured values not included in the training of the neural networks. The result indicated that the proposed method using a back-propagation neural algorithm was effective at predicting the thermal conductivity of concrete.

• Journal of the Korean Society of Costume
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• v.21
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• pp.207-218
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• 1993

The desire of our contempories who wish to recover humanities fading away and get back recover humanities fading away and get back to the nature is emerging as a main theme of the fashion today the decade of facing 21st century. The prevalence of naturalness-ecology ru-ral peasant look-and ethnic look shows the tendency mentioned above. Kenzo Takada' works which exhibit this naturalness and ethnic look were picked and investigated. The objective of this research is to study the beauty of form and internal and investi-gate in what form the naturaless and Ethnic look in Kenzo's work. The result were as followings : <1> Draped form are mainly used as form and they are made neglecting the body line by straight-cut and provide the wearer ease and freedom of movements <2> As for the color fantastic original colors (red, blue, etc) and natural colors are used. And Strong color contrast is seen. In ethnic look original colors(red, blue, etc.) natural colors and ethnic colors are used. <3> As for the fabric Cotton neat skilk and wool etc are used mainly and use of such natural fibers represents the return to the natural well. <4> As for ornament natural things-straw hat flower feather pebble, shell-are used and exhibit natural feelings strongly. For the ethnic look ornaments representing each country's ethnic atmos-phere by hat scarf and neckcloth made of natural fibers. <5> As for naturalness Flower deer butter-fly leopard and plant etc, are used as motif. As for ethnic look flower geometric motif are used.

• Structural Engineering and Mechanics
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• v.70 no.6
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• pp.671-681
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• 2019

This paper examines the applicability of artificial neural network (ANN) and multivariate adaptive regression splines (MARS) to predict the compressive strength of bacteria incorporated geopolymer concrete (GPC). The mix is composed of new bacterial strain, manufactured sand, ground granulated blast furnace slag, silica fume, metakaolin and fly ash. The concentration of sodium hydroxide (NaOH) is maintained at 8 Molar, sodium silicate ($Na_2SiO_3$) to NaOH weight ratio is 2.33 and the alkaline liquid to binder ratio of 0.35 and ambient curing temperature ($28^{\circ}C$) is maintained for all the mixtures. In ANN, back-propagation training technique was employed for updating the weights of each layer based on the error in the network output. Levenberg-Marquardt algorithm was used for feed-forward back-propagation. MARS model was developed by establishing a relationship between a set of predictors and dependent variables. MARS is based on a divide and conquers strategy partitioning the training data sets into separate regions; each gets its own regression line. Six models based on ANN and MARS were developed to predict the compressive strength of bacteria incorporated GPC for 1, 3, 7, 28, 56 and 90 days. About 70% of the total 84 data sets obtained from experiments were used for development of the models and remaining 30% data was utilized for testing. From the study, it is observed that the predicted values from the models are found to be in good agreement with the corresponding experimental values and the developed models are robust and reliable.

• Computers and Concrete
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• v.29 no.6
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• pp.433-444
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• 2022

Concrete's compressive strength is widely studied in order to understand many qualities and the grade of the concrete mixture. Conventional civil engineering tests involve time and resources consuming laboratory operations which results in the deterioration of concrete samples. Proposing efficient non-destructive models for the prediction of concrete compressive strength will certainly yield advancements in concrete studies. In this study, the efficiency of using radial basis function neural network (RBFNN) which is not common in this field, is studied for the concrete compressive strength prediction. Complementary studies with back propagation neural network (BPNN), which is commonly used in this field, have also been carried out in order to verify the efficiency of RBFNN for compressive strength prediction. A total of 13 input parameters, including novel ones such as cement's and fly ash's compositional information, have been employed in the prediction models with RBFNN and BPNN since all these parameters are known to influence concrete strength. Three different train: test ratios were tested with both models, while different hidden neurons, epochs, and spread values were introduced to determine the optimum parameters for yielding the best prediction results. Prediction results obtained by RBFNN are observed to yield satisfactory high correlation coefficients and satisfactory low mean square error values when compared to the results in the previous studies, indicating the efficiency of the proposed model.

• Journal of the Korean GEO-environmental Society
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• v.11 no.6
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• pp.85-91
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• 2010

As enormous construction projects of land development are carried out around Korea, useful construction materials are needed to perform the construction projects. However, there are no more enough of fill and reclamation materials in our country. That is why the coal ash is expected to be utilized as an alternative material. Since the coal ash has the characteristics of a pozzolan and a selfhardening material, it is adjudged that coal ash has a great possibility to be used as a fill and reclamation material. In this study, grain size analysis, Atterberg limit test, and specific gravity test were performed to examine the physical characteristics of the coal ash about a self-hardening material before utilizing the coal ash in the construction. Compaction test, unconfined compression test, direct shear test, and flexible wall permeability test were conducted to investigate the engineering characteristics according to mixture ratios of fly ash and bottom ash. As a result of the tests, it was confirmed that the mixing ratio 1:1 of fly ash and bottom ash is the most effective to use as a fill and reclamation material. If the mixture of coal ash is used as a backfill material with light weight around structure, it is expected to play a significant role in reducing earth pressure on the back of the structure. As the age of the mixture of coal ash goes by, it intends to decrease the coefficient of permeability. As described above, the coal ash should be considered as an alternative material of fill and reclamation materials since the result of the tests indicates that the coal ash is suitable to a useful material on the construction design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.485-492
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• 2013

The effect on collection efficiency with 2-stage vortex finder diameter and back mixing of solid flow due to swirling intensity, turbulence eddies, wall bouncing using the residence time distribution of particle flow in a common and modified cyclone. Higher collection efficiencies of fly ash in a modified cyclone(S = 13, 15cm) are showed than common cyclone. Collection efficiency in modified cyclone was highest at 2-stage vortex finder diameter, S = 13 cm. Variances of residence time distribution and average residence times of glass bead were increased with a diameter(S) of 2-stage vortex finder due to swirling intensity and turbulence eddies. Back mixing of solid flow in a modified cyclone were increased with a gas inlet velocity and showed higher than a common cyclone.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.4
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• pp.419-426
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• 1999

A novel motion analysis system is presented in this paper. The proposed system is inspired by processing functions observed in the fly visual system, which detects changes in input light intensities, determines motion on both the local and the wide-field levels. The system has several differences from conventional motion analysis system. First, conventional systems usually focused on matching similar feature or optical flow, but neural network is applied in this system. Back propagation is used by learning method, and Tine Delay Neural Network (TDNN) is also used as analysis method. Second, while conventional systems usually limited on only two frames of sequence, the proposed system accept multiple frames of sequence. The experimental results showed a 94.7% correct rate with a speed of 71.47 milli seconds for real and synthetic images.