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검색결과 70건 처리시간 0.022초

타투 관련 인터넷 동호회 사이트에 나타난 타투 문양 분석 - 국내.외 사이트를 중심으로 - (Analysis on the Tattoo Patterns used among Tattoo-related Internet Communities - Focusing on the Domestic and International Web Sites -)

  • 정경희;이미숙
    • 복식
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    • 제57권3호
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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%).

플라이애시가 콘크리트의 전과정 환경영향에 미치는 효과 (Influence of Fly Ash on Life-Cycle Environmental Impact of Concrete)

  • 정연백;양근혁;최동욱
    • 한국건축시공학회지
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    • 제14권6호
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    • pp.515-522
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    • 2014
  • 혼화재로서 플라이애시가 콘크리트의 전과정 환경영향에 미치는 효과를 정량적으로 평가하기 위하여, 4023개의 실내배합 및 2120개의 레미콘 배합을 분석하였다. 전과정 환경 평가에서 환경부하는 분류화, 특성화, 정규화 및 가중치 단계를 거쳐 정량적인 환경영향 지표로 환산되었다. 콘크리트 전과정 환경영향은 주로 지구 온난화, 광화학 산화 생성물 및 무생물 자원고갈의 세 범주로 분류될 수 있었다. 또한, 콘크리트의 환경영향 지표들은 플라이애시 치환율의 증가와 함께 감소하였으며, 대부분 보통 포틀랜드 시멘트의 양에 의해 결정되었다. 이를 고려하여, 콘크리트의 환경영향 지표들은 단위 결합재 양 및 플라이애시 치환율의 함수로 간단하게 모델링 될 수 있었다.

석탄회의 자경성에 따른 공학적 특성연구 (The Study on the Engineering Characteristics by Self-Hardening of Coal Ash)

  • 정혁상;신웅기;김지원;천병식
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2010년도 추계 학술발표회 2차
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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.

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Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method

  • Lee, Jong-Han;Lee, Jong-Jae;Cho, Baik-Soon
    • International Journal of Concrete Structures and Materials
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    • 제6권3호
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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.

다카다 겐조(Kenzo Takada)의 작품에 관한 연구 (A Study on the Kenzo Takada's Works)

  • 정연자
    • 복식
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    • 제21권
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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.

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Prediction of compressive strength of bacteria incorporated geopolymer concrete by using ANN and MARS

  • X., John Britto;Muthuraj, M.P.
    • Structural Engineering and Mechanics
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    • 제70권6호
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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.

Machine learning in concrete's strength prediction

  • Al-Gburi, Saddam N.A.;Akpinar, Pinar;Helwan, Abdulkader
    • Computers and Concrete
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    • 제29권 6호
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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.

비회와 저회의 배합비에 따른 석탄회의 자경성에 관한 연구 (A Study on Self-Hardening Characteristics of Coal Ash by Mixing Ratio of Fly Ash and Bottom Ash)

  • 신웅기;임대성;천병식
    • 한국지반환경공학회 논문집
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    • 제11권6호
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    • pp.85-91
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    • 2010
  • 우리나라의 대단위 국토개발이 실시됨에 따라 성토 및 매립재등의 막대한 건설재료가 사용되고 있는 실정이며, 국내 준설 성토재 및 매립재가 부족한 실정이다. 이에 대한 대체재로 석탄회의 활용이 대두되고 있다. 석탄회는 포졸란의 특성을 가지고 있는 자경성의 재료로서 성토재 및 매립재로 대량활용의 가능성이 높은 재료이다. 이에 본 연구에서는 석탄회를 활용하기 전 가장 기초적인 연구인 자경성에 관한 물리적 성질을 규명하고자 비회와 저회의 입도분석시험, Atterberg한계시험, 비중시험 등을 실시하였고, 비회와 저회의 배합비에 따른 공학적 성질을 규명하고자 다짐시험, 일축압축강도시험, 직접전단시험, 삼축투수시험 등을 실시하였다. 시험결과 성토재 및 매립재로 사용하기 위해서는 비회와 저회의 배합비가 1:1일때 가장 효과적이며, 경량성 재료로써 구조물 주변의 성토재로 사용하면 배면에 작용하는 토압을 경감하는 효과를 보일것으로 판단된다. 또한 자경성에 의해 재령이 경과할수록 투수계수가 감소하기 때문에 설계시 이를 반영하여야 할것으로 판단된다. 위에서의 실험결과와 같이 석탄회는 채움재와 매립재의 대체재로써 유용하게 사용할 수 있을것이라 여겨진다.

변형구조의 싸이클론 집진기에서 분진의 집진 및 혼합특성 연구 (A Study for Collection and Mixing Characteristics of Particles in a Modified Cyclone Particle Collector)

  • 강순국
    • 한국산학기술학회논문지
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    • 제14권1호
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    • pp.485-492
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    • 2013
  • 일반과 변형구조의 싸이클론에서 입자흐름의 체류시간분포 특성을 통해 선회강도, 난류성 에디, 벽면 바운싱에 의한 고체흐름의 역혼합과 2단 선회류 약화기의 직경이 집진효율에 미치는 영향을 고찰하였다. 변형구조 싸이클론(S = 13, 15cm)에서 플라이애쉬의 집진효율이 일반 싸이클론보다 높게 나타났다. 변형구조의 싸이클론에서 집진효율은 2단 선회류 약화기의 직경(S)이 13cm에서 가장 높게 나타내었다. 글라스비드의 체류시간분포에 대한 분산과 평균 체류시간은 선회강도와 난류성 에디로 인해서 2단 선회류 약화기의 직경이 증가할수록 증가하였다. 변형구조의 싸이클론에서 고체 흐름의 역혼합은 기체 유입속도가 증가할수록 증가하였고 일반 싸이클론보다 높게 나타났다.

시간 지연 신경망을 이용한 동작 분석 (Motion Analysis with Time Delay Neural Network)

  • 장동식;이만희;이종원
    • 제어로봇시스템학회논문지
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    • 제5권4호
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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.

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