• Title/Summary/Keyword: Characteristics of Material images

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Surface Structure and Electrical Properties of Polyurethane LB Monolayers (폴리우레탄 LB단분자막의 표면구조 이미지와 전기적 특성)

  • 서정열;김도균;정상범;유승엽;신훈규;박재철;권영수
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.11a
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    • pp.320-323
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    • 2000
  • We attempted to fabricate polyurethane derivatives (PU-CN, PU-DCM) LB films by using LB method. Also, we investigated the monolayer behavior at the air-water interface by surface pressure-area ($\pi$-A) isotherms. And, the surface morphologies and the physicochemical properties of LB films were investigated by atomic force microscopy (AFM) and UV-vis spectroscopy, respectively. Also, the electrical properties of polyurethane derivatives LB films were investigated by using the conductivity and the dielectric constant. In the AFM images, we conclude that surface morphology of PU-DCM LB films is smooth and homogeneous and has optimal hydrophobicity and good stability, whereas PU-CN LB films give rougher surfaces with more excess material. In the I-V characteristics, the conductivity is different as to the polyurethane derivatives, it is considered that this phenomena could be described by the difference of lumophore pendant which was adhered at PU main chain.

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Study on the Surface Defect Classification of Al 6061 Extruded Material By Using CNN-Based Algorithms (CNN을 이용한 Al 6061 압출재의 표면 결함 분류 연구)

  • Kim, S.B.;Lee, K.A.
    • Transactions of Materials Processing
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    • v.31 no.4
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    • pp.229-239
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    • 2022
  • Convolution Neural Network(CNN) is a class of deep learning algorithms and can be used for image analysis. In particular, it has excellent performance in finding the pattern of images. Therefore, CNN is commonly applied for recognizing, learning and classifying images. In this study, the surface defect classification performance of Al 6061 extruded material using CNN-based algorithms were compared and evaluated. First, the data collection criteria were suggested and a total of 2,024 datasets were prepared. And they were randomly classified into 1,417 learning data and 607 evaluation data. After that, the size and quality of the training data set were improved using data augmentation techniques to increase the performance of deep learning. The CNN-based algorithms used in this study were VGGNet-16, VGGNet-19, ResNet-50 and DenseNet-121. The evaluation of the defect classification performance was made by comparing the accuracy, loss, and learning speed using verification data. The DenseNet-121 algorithm showed better performance than other algorithms with an accuracy of 99.13% and a loss value of 0.037. This was due to the structural characteristics of the DenseNet model, and the information loss was reduced by acquiring information from all previous layers for image identification in this algorithm. Based on the above results, the possibility of machine vision application of CNN-based model for the surface defect classification of Al extruded materials was also discussed.

A study on the formative features of the inflatable fashion (인플래터블 패션의 조형적 특성 연구)

  • Son, Sue Min
    • The Research Journal of the Costume Culture
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    • v.21 no.4
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    • pp.521-534
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    • 2013
  • This study aims to identify the formative features of inflatable fashion that has changed its form or fulfilled specific functions by inserting air between fabrics or between clothes and the human body. Images of inflatable fashion images after the 1990s were collected from the literature and internet data and were analyzed based on the formative features of inflatable design. Through this analysis, it was determined that there were four formative features of inflatable fashion: First, inflatable fashion has functionality. General fashion also has functionality, but inflatable fashion has expanded functionalities such as an air bag effect or insulation due to injected air. Second, the formative potential. Inflatable fashion can be changed into different forms depending on the amount of air injected. Light-weighted air holds up the material of the clothes. So new forms that are different from conventional fashion, which gives inflatable fashion its formative potential, can be suggested. Third, aesthetic expansion. Inflatable fashion when its volume is expanded expresses the beauty of scale, or expresses a voluptuous beauty when part of human body is exaggerated. Fourth, it has an unconstructive characteristic. Space that is visible due to the transparent material of inflatable fashion expresses the intention of the designer to fulfill an unconstructive concept. In conclusion, the formative features of inflatable design have formative significances : practicality, aesthetic significance, semantics and technical significance.

Racing Girl Uniforms of Domestic and Foreign Automobile Brands at the Motor Shows (모터쇼에 나타난 국내외 자동차 브랜드 레이싱걸 유니폼 디자인 연구)

  • Kim, Sun Hye;Yoo, Young Sun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.3
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    • pp.452-473
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    • 2018
  • This study analyzed the expressions of racing girl uniforms that promote automobile brands shown at Seoul and Busan motor shows. The results are as follows. In each of the design components expression, the glossy and plain material, the achromatic color, and the dress style appeared most frequently in the uniform design of both domestic and foreign automobile brands. In the fashion image expression, sexy image appeared the most, followed by modern image, romantic image, active image, elegance image and ethnic image. Based on the analysis results, the following expressive characteristics were identified: First, sexy images were used in uniform design to express the streamline and speedy feeling of a car metaphorically. Second, modern image, glossy material, and achromatic color were used for a uniform design to express advanced technology and the future orientation of an automobile. Third, fashion images that match the automobile type emphasized the brand image of the car. Fourth, some of the manufacturers that prevailed in the automobile market promoted several automobile brands exhibited with a unified uniform design that expressed the design philosophy and concept. As such, the motor show racing girl uniform contributed to promoting automobile brand identity and the automobile industry.

The Effects of Lifestyles on Purchasing Habits among Luxury Hanbok Consumers

  • Park, Hyee-Soo;Hwang, Jin-Sook
    • International Journal of Costume and Fashion
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    • v.8 no.1
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    • pp.53-64
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    • 2008
  • This study defined luxury hanbok, categorized its consumers according to their lifestyles, and examined the differences between the lifestyle groups in preferred images of luxury hanbok and consumer habits. The subjects of the study were 216 luxury hanbok consumers resident in Seoul. The various types of statistical analyses used in this study were frequency, factor analysis, Cronbach's a, cluster analysis, ANOVA, Duncan-test and $X^2$-test. The results of this study were as follows: 1. The lifestyle of luxury hanbok consumers was classified broadly into 4 groups as: brand oriented, economic/appearance oriented, family oriented/socially oriented, self-driven/economic oriented. 2. The preferred images included these five factors: splendor, elegance, uniqueness, simplicity and tradition. The elegant image was aspired to by the brand oriented group. Meanwhile, the traditional image is sought after by both the brand oriented group and the economic/appearance oriented group. 3. The lifestyle groups differed significantly in the selection criterion such as material, brand and rarity. The brand oriented group placed greater importance on material, brand and rarity than other groups. 4. In addition, each group differed in their frequency of purchase, price range, and demographic characteristics.

Expression Method and Technique of Upcycling Design in Contemporary Fashion Design (현대 패션에 나타난 업사이클 디자인의 표현 방법과 기법)

  • Oh, Yujin;Yoon, Jeong-A;Lee, Younhee
    • Journal of the Korean Society of Costume
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    • v.66 no.7
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    • pp.109-123
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    • 2016
  • The purpose of this study is to examine the expression techniques and methods of Upcycling fashion brands and designers who have focused on Upcycling, and have found success. The study used collected literatures, press releases, and Internet searches using the word, 'Upcycling' in order to investigate the design characteristics and to set up criteria to classify the material expression techniques found in Upcycling fashion design. The results are as follows: Firstly, according to the result of analyzing the product images of Upcycling fashion design, the most frequently used expression methods are deconstruction and reorganization, $d{\acute{e}}paysement$, and assemblage/collage. Deconstruction and reorganization is used to make most of the Upcycling fashion design products using recycled materials. It is one of the ways to create new value that transcends the value of the previous item. Secondly, Upcycling fashion design's expression techniques generally attempt to use recycling material diversely to complement the recycling material that is limited in some way to the purpose of clothing. In this process, we can find expression techniques used to bring out) the characteristics of Upcycling fashion design. Patching, adding, cutting, folding, or weaving is the technique mainly employed.

The Tectonic Characteristics in the Works of Santiago Calatrava and the Role of Light (산티아고 칼라트라바 건축의 텍토닉 특성과 빛의 역할에 관한 연구)

  • Kim, Chang-Sung
    • KIEAE Journal
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    • v.15 no.2
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    • pp.79-86
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    • 2015
  • Purpose: The concept of the tectonic has researched to find out the identify of modern architecture. The meaning of traditional tectonic knowledge to emphasize structural joints and attention to detail in creativity has developed in various ways in contemporary architecture. The purpose of this study is to analyze the tectonic characteristics and architectural expressions of the light appeared in the works of Santiago Calatrava. Major features in his works could be found is to maximize structural beauties through deducing the architectural images from the nature and expressing the material properties and the kinetic structures, and thus, to ultimately create the functional space and form by connecting the light to the tectonic structure. Method: Accordingly, I tried to analyze the three works of Santiago Calatrava (the Milwaukee Art Museum, the Bodegas Ysios Winery and the City and Arts and Sciences) as following categories - the structural aesthetics, the expression of material properties, the relationship between he kinetic structures and the light. Result: According to the results of the study, Santiago Calatrava tried to create his own architectural aesthetic by combining structural tectonic with nature, material, regional place and culture. He also sought to express the tense and dynamic tectonic rather than the stable one in his works.

Synthesis and Characteristics of Blue Light Emitting Soluble PPV Copolymer (청색 발광 가용성 PPV 공중합체의 합성 및 특성)

  • 이경민;최병수
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.14 no.2
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    • pp.145-151
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    • 2001
  • In this study, blue light emiting, soluble PPV copolymers were synthesized by Witting reaction and characterized. ITO/copolymer/Ca and ITO/copolymer/A1 structured light emitting diodes(LED) were fabricated and their I-V characteristics were examined. Copolymers showed $\pi$-$\pi$ transition in UV-Vis./NIR spectra. The PL and abosorption spectrum showed the symmetric vibration modes with mirror images which means that copolymers are highly aligned. By introducing aliphatic hydrocarbon group on polymer main chain, the solubility of copolymers was improved and no significant effects of substituent were observed. The band offset of copolymers are well suited as light emitting material for LED application than monomer or oligomer does. THe band offset of copolymers is ∼3eV in PL spectrum and the threshold voltages of ITO/copolymer/Ca and ITO/copolymer/Al structured LED 3V, 12V respectively. In the case of ITO/copolymer/Ca LED, it is believed that the amount of electrons and holes is well balanced and the recombination of opposite charges occurs easily because the work functions of Ca and Al electrodes are 2.9 and 4.3eV respectively and the difference in barrier height between polymer and electrode was small.

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Electrochemical Characteristics of Porous Modified Silicon Impregnated with Metal as Anode Materials for Lithium Secondary Batteries (리튬 이차전지용 금속이 담지된 다공성 실리콘 음극물질의 전기화학적 특성)

  • Jang, Eun-Jung;Jeon, Bup-Ju
    • Journal of Hydrogen and New Energy
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    • v.23 no.4
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    • pp.353-363
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    • 2012
  • The relationship between the diffusivity and electrochemical characteristics of lithium secondary battery with the modified Si anode material prepared in HF/$AgNO_3$ solution was investigated. The crystallographic structure and images of the modified porous Si and modified Si/Cu was examined using the X-ray diffraction, BET and SEM. To examine the effect of metal composite and pore size distribution according to chemical etching on the electrochemical characterization, the electrodes for half cells were prepared with the modified Si, modified Si/Cu, and modified Si/Cu annealed with $600^{\circ}C$. Our results showed that the chemical diffusivity of lithium ions was related to structure and resistance of Si/Cu composite anode material. The lithium diffusivity in modified silicon compound calculated from the CV was at the range of $1{\times}10^{-12}$ to $9{\times}10^{-16}cm^2/s$. The effects of modified silicon structure and resistance on the cycling efficiency were significant.

Cardio-Angiographic Sequence Coding Using Neural Network Adaptive Vector Quantization (신격회로망 적응 VQ를 이용한 심장 조영상 부호화)

  • 주창희;최종수
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.4
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    • pp.374-381
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    • 1991
  • As a diagnostic image of hospitl, the utilization of digital image is steadily increasing. Image coding is indispensable for storing and compressing an enormous amount of diagnostic images economically and effectively. In this paper adaptive two stage vector quantization based on Kohonen's neural network for the compression of cardioangiography among typical angiography of radiographic image sequences is presented and the performance of the coding scheme is compare and gone over. In an attempt to exploit the known characteristics of changes in cardioangiography, relatively large blocks of image are quantized in the first stage and in the next stage the bloks subdivided by the threshold of quantization error are vector quantized employing the neural network of frequency sensitive competitive learning. The scheme is employed because the change produced in cardioangiography is due to such two types of motion as a heart itself and body motion, and a contrast dye material injected. Computer simulation shows that the good reproduction of images can be obtained at a bit rate of 0.78 bits/pixel.

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