• Title/Summary/Keyword: paper garment

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Main Features of Leather Armor from the Joseon Dynasty in the National Museum of Korea (국립중앙박물관 소장 조선시대 피갑(皮甲)의 특징에 관한 고찰)

  • Hwang, Jinyoung
    • Conservation Science in Museum
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    • v.20
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    • pp.61-76
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    • 2018
  • The National Museum of Korea conducted conservation treatmenton the armor in its collection for the purposes of public display and appropriate preservation. This was preceded by a literature study on the types and features of the armor in order to collect basic data for secure and accurate conservation treatment. The literature study found that during the Joseon dynasty, armor was named in reflection of precise details including the color, material, status of the wearer, and even the certain parts of a suit of armor. In general, the name of armor includes the details in the order of color, underlying textile, and scale material (e.g., iron, leather). The former part of the name presents the features of the garment and the latter part refers to the material of the scales or the status of the wearer. The study also found that main materials used in armor include textiles, leather, and metal, and armor can be classified by the materials of the scales-e.g., metal armor (鐵甲), leather armor (皮甲), paper armor (紙甲), paper-and-fabric armor (淹心甲), silk armor (緞甲). Joseon-period armor can also be classified into four types according to its structure and the method of wearing, and overcoat(袍)-style armor was the most widely used in the period following the Japanese Invasion of Joseon (1592-1598) through the late nineteenth~early twentieth century. Overcoat-style armor was commonly worn by infantry, and the four examples of armor with leather scales at the National Museum of Korea belong to this category.

Far-Infrared Emission Characteristics of Germanium Included Fabrics for Emotional Garment (게르마늄 함유 감성의류용 직물의 원적외선 방출 특성)

  • Kim, Hyun-Ah;Kim, Seung-Jin
    • Science of Emotion and Sensibility
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    • v.13 no.4
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    • pp.687-692
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    • 2010
  • This paper surveys emission characteristics of Far-infrared of the fabrics fabricated with germanium imbedded sheath-core conjugate composite filaments. For this purpose, master batch chip was prepared with PET semi-dull chip and nano sized germanium particles and sheath-core type conjugate composite filament was spun using this master batch chip and polyester semi dull. The emission power and emissivity of the germanium imbedded fabrics were measured and investigated using FT-IR spectrophotometer by KICM- FIR 1005 measurement method. In addition, the fabric mechanical properties were measured and discussed with the effects of the optimum texturing process conditions and fabric structural design conditions. The sheath/core type PET composite germanium imbedded filaments were manufactured by the optimum spinning condition, its tenacity and breaking strain showed the same level as the regular PET filament. The tenacity and breaking strain of the DTY showed good physical properties and no problem in the weaving process. Then, wet and dry shrinkages showed higher values than those of regular PET filament. The emission power of the germanium imbedded fabric was $3.53{\times}10^2W/m^2$ at the $5-20{\mu}m$ wave length range, and emissivity was 0.874. The fabric hand of germanium imbedded fabrics was inhanced by the optimum texturing process and fabric structural design with improved mechanical properties such as fabric bending and compressional properties.

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A Study on Costume Designer in Cinema (영화 의상 디자이너에 관한 연구)

  • Lee Hee-Hyun;Lee Yu-Kyung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.7 no.3
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    • pp.63-74
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    • 2005
  • The cinema costume designers carry out the creative works in a different way from the commercial fashion designers generating the new trends by season or year for a number of people. Costumes created by the cinema costume designers are for the people acting in the film screens such as heroes, heroines or extras. The cinema costume designers should not miss the overall flow of a cinema. Moreover, the prominent designers have to devise the costumes livening up every scene. Most cinemas with the prudent interests and attention on the costumes are favored by the public and gain the commercial success. In particular, the cinemas emphasize the visual effects such as setting, lighting and computer graphics and require the substantial budgets for preparing the costumes regardless of genres, while all other industrial fields will be the same. Such efforts are to deliver the meaning and aesthetics that the cinemas intend to show through the designs, colors and textures of costumes closed up in each scene. The costumes in cinemas are another linguistic system and have the symbolic form of compound and meaningful communication used by the directors. The costume design is required to produce the costumes that liven up the characteristics of heroes or heroines as well as to fit for the general artistic effects of films. Moreover, it has to express the characters in the films using the costumes suitable for the film genres. Cinema costumes are defined and refined, and the process can be angst-ridden. Each frame of film is a canvas and has its own proscenuium. Every garment worn in a theatrical production is a costume. Before an actor speaks, his wardrobe has already spoken for him. From the most obvious and flamboyant show clothing, to contemporary clothes using subtle design language, costume design plays an integral part in every film production. Costume design is a vital tool for storytelling. Costumes have always had enormous influence on world fashion. Costume designers are passionate storytellers, historians, social commentators, humorists, psychologists, trendsetters and magicians who can conjure glamour and codify icons. Costume designers are project managers who have to juggle ever-decreasing wardrobe budgets and battle the economic realities of film production. Costume designers are artists with pen and paper, form, fabric and the human figure.

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A Comparison Study of New Hanbok Brand Skirt Pattern for Developing of Customizing System

  • Cha, Su-Joung;An, Myung-Sook;Heo, Seung-Yeun;Ra, Joung-Hei;Jeon, Woong-Ryul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.183-191
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    • 2020
  • In this study, in order to obtain basic data on the development of a new hanbok skirt pattern for developing a customizing system, a new hanbok brand skirt pattern was compared and analyzed. After analyzing the patterns of six new hanbok brands, virtual simulation was performed to evaluate the appearance, clothing pressure, and airgap. As a result of analyzing the waist skirt patterns of commercial new hanbok brands A, B, C, D, E, and F, it was found that they were produced in different dimensions despite the free size skirt of the same design. The pattern of new hanbok waist skirt was composed of a flat pattern like the traditional hanbok. As a result of appearance evaluation, it was evaluated that there were significant differences between the patterns of the six brands in all the evaluation items on the front, side, and back. In the appearance evaluation, it was evaluated that the waist skirt of the B brand was excellent. As a result of examining the color distribution and airgap, it was evaluated that the airgap was large in most parts due to the characteristics of the waist skirt worn around the waist, and the garment pressure was low. In this paper, we propose a basic data for standardizing dimensions and patterns according to activation New Hanbok. It is thought that a unified pattern development based on the B brand pattern should be made.

Automated Clothing Analysis System through Image Analysis (이미지 분석을 통한 자동화 의류 분석 시스템)

  • Choi, Moon-hyuk;Lee, Seok-jun;Lee, Hak-jae;Kim, So-yeong;Moon, Il-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.313-315
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    • 2019
  • Although Korea's fashion market has negative growth, it has been growing again since 2018. This phenomenon means that people are becoming more interested in fashion. As interest in fashion grows, people visit various community sites for reference to find a suitable coordination for themselves. Most community sites, however, are manually categorizing each garment. Not only do these tasks take a lot of time, but they also make it difficult to search for multiple clothing at the same time. In other words, I can't choose what I want at the same time, and if I choose what I want, I have to look at what the model is wearing and refer to it. The problem with this may not help because the coordination in which the model provided is worn is more likely to be the one that the user does not want. In this paper, when the image is uploaded to improve the problem, the clothing is analyzed with AI analysis model and automatically classified and stored. Therefore, not only can you search for one clothes in the existing way, but you can also search for multiple clothes at the same time. The service is expected to allow more people to easily find and refer to the code for themselves.

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Drape Simulation Estimation for Non-Linear Stiffness Model (비선형 강성 모델을 위한 드레이프 시뮬레이션 결과 추정)

  • Eungjune Shim;Eunjung Ju;Myung Geol Choi
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.3
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    • pp.117-125
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    • 2023
  • In the development of clothing design through virtual simulation, it is essential to minimize the differences between the virtual and the real world as much as possible. The most critical task to enhance the similarity between virtual and real garments is to find simulation parameters that can closely emulate the physical properties of the actual fabric in use. The simulation parameter optimization process requires manual tuning by experts, demanding high expertise and a significant amount of time. Especially, considerable time is consumed in repeatedly running simulations to check the results of applying the tuned simulation parameters. Recently, to tackle this issue, artificial neural network learning models have been proposed that swiftly estimate the results of drape test simulations, which are predominantly used for parameter tuning. In these earlier studies, relatively simple linear stiffness models were used, and instead of estimating the entirety of the drape mesh, they estimated only a portion of the mesh and interpolated the rest. However, there is still a scarcity of research on non-linear stiffness models, which are commonly used in actual garment design. In this paper, we propose a learning model for estimating the results of drape simulations for non-linear stiffness models. Our learning model estimates the full high-resolution mesh model of drape. To validate the performance of the proposed method, experiments were conducted using three different drape test methods, demonstrating high accuracy in estimation.