• Title/Summary/Keyword: boundary-making

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Fashion shoes illustration applying characteristics of David Hockney's painting (데이비드 호크니의 회화 특성을 활용한 패션 슈즈 일러스트레이션)

  • Choi, Yonsoo;Jekal, Mee;Lee, Younhee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.4
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    • pp.19-37
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    • 2021
  • The purpose of this study is to apply the characteristics of David Hockney's paintings to fashion illustration and thereby, review how pure art can be harmoniously grafted onto fashion commodities and thereupon, suggest a far more developed and unique fashion illustration. For the research, this study analyzed David Hockney's late painting works, after the 1980s; the analysis was focused on photo collages, multiple perspectives, the movement of the viewpoint, and lights and colors. In order to produce an artwork, the researcher selected 4 painting works; one work for decade for the period from the 1980s to the 2010s. This study selected 'shoes' as subjects for expression in an effort to depart from the convention approach of focusing on apparel and thereby, suggest some differentiated fashion illustrations. In terms of the artwork production size, four canvases #5 were combined into a set, and thus, a total of four sets were developed. The results are as follows. First, it was very interesting to develop a fashion illustration making use of David Hockney's paintings, and it was proven that the fashion illustration applying the sensitivity of the pure art would provide a unique sense of art. Secondly, as the boundary among disciplines becomes blurred, painting provides a new source of insights and motifs to the diverse design areas to satisfy diversified human needs, and furthermore, the development and diversified application of the fashion illustrations could be confirmed. Thirdly, David Hockney's differentiated world of art, technique of expression and sensitive colors could well be applied to fashion illustrations. This study proves that we fashion artists can depart from the conventional expressions focused on the apparel to expand the fashion illustration into lady's high heels.

Examination of Potential Unplanned Land Use in Asan City with a Spatial Analysis Method (아산시 국지적 난개발 발생 가능지역 탐색 방안 실증연구)

  • Lee, Gyoungju;Im, Jun-Hong
    • Land and Housing Review
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    • v.13 no.3
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    • pp.69-81
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    • 2022
  • Unplanned land use, that is, unplanned development, causes various negative externalities. In the past, Korea has experienced significant socio-economic costs due to reckless development centered on the boundary between urban and non-urban areas.. Unplanned land use can be viewed as a result of the interaction of various factors.. Therefore, it is difficult to develop in areas where unplanned land use occurs intensively. It is necessary to strengthen legal and institutional measures so that negative externalities do not persis. In this study, we present a spatial analysis methodology to effectively find spatial clusters where unplanned land use is concentrated. By demonstrating and applying this to individual development activities that occurred in Asan City, we examine the usefulness of information to support decision making when establishing mid-to-long-term growth management strategies at the local government level.

gMLP-based Self-Supervised Learning Anomaly Detection using a Simple Synthetic Data Generation Method (단순한 합성데이터 생성 방식을 활용한 gMLP 기반 자기 지도 학습 이상탐지 기법)

  • Ju-Hyo, Hwang;Kyo-Hong, Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.8-14
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    • 2023
  • The existing self-supervised learning-based CutPaste generated synthetic data by cutting and attaching specific patches from normal images and then performed anomaly detection. However, this method has a problem in that there is a clear difference in the boundary of the patch. NSA for solving these problems have achieved higher anomaly detection performance by generating natural synthetic data through Poisson Blending. However, NSA has the disadvantage of having many hyperparameters that need to be adjusted for each class. In this paper, synthetic data similar to normal were generated by a simple method of making the size of the synthetic patch very small. At this time, since the patches are so locally synthesized, models that learn local features can easily overfit synthetic data. Therefore, we performed anomaly detection using gMLP, which learns global features, and even with simple synthesis methods, we were able to achieve higher performance than conventional self-supervised learning techniques.

Evaluation of Repair Welding Method and PWHT Properties for Degraded CrMoV Casting Steel (열화된 CrMoV 주조강에 대한 보수 용접 방법 및 후열처리 특성 평가)

  • Hong, Jaehun;Jun, Moonchang;Jung, Kwonsuk;Lee, Young-Kook
    • Journal of the Korean Society for Heat Treatment
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    • v.35 no.3
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    • pp.121-129
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    • 2022
  • Recently the growth of the renewable energy production has caused the flexible operation in LNG combined cycle power plant. Due to the rapid start and stop operations, large CrMoV castings used for turbine casings and valve bodies could be distorted and lead to replacement or welding repair. This study was performed to find out the characteristics of the repair welding for a damaged CrMoV casting steel. A typical field repair method (arc & TIG welding) was applied to making specimens. The degraded N2 packing head sample from the steam turbine was used. The evaluations of weldments were carried out in terms of microstructural characterization, microhardness measurements, tensile, creep-rupture and fatigue tests. Color etching was also applied for better understanding of welding microstructures. As the boundary between HAZ and base material was deteriorated by welding, it caused microstructural changes formed during PWHT and the shortening of the remaining residual life. By comparing the properties according to repair welding method, it was possible to derive what important welding factors were. As a result, arc welding method is more suitable for repair welding on CrMoV castings.

Mechanical behavior of coiled tubing over wellhead and analysis of its effect on downhole buckling

  • Zhao, Le;Gao, Mingzhong;Li, Cunbao;Xian, Linyun
    • Steel and Composite Structures
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    • v.44 no.2
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    • pp.199-210
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    • 2022
  • This study build finite element analysis (FEA) models describing the bending events of coiled tubing (CT) at the wellhead and trips into the hole, accurately provide the state of stress and strain while the CT is in service. The bending moment and axial force history curves are used as loads and boundary conditions in the diametrical growth models to ensure consistency with the actual working conditions in field operations. The simulation diametrical growth results in this study are more accurate and reasonable. Analysis the factors influencing fatigue and diametrical growth shows that the internal pressure has a first-order influence on fatigue, followed by the radius of the guide arch, reel and the CT diameter. As the number of trip cycles increase, fatigue damage, residual stress and strain cumulatively increase, until CT failure occurs. Significant residual stresses remain in the CT cross-section, and the CT exhibits a residual curvature, the initial residual bending configuration of CT under wellbore constraints, after running into the hole, is sinusoidal. The residual stresses and residual bending configuration significantly decrease the buckling load, making the buckling and buckling release of CT in the downhole an elastic-plastic process, exacerbating the helical lockup. The conclusions drawn in this study will improve CT models and contribute to the operational and economic success of CT services.

Deconstruction Characteristics in Fashion Brand YouTube Campaign (패션 브랜드 유튜브 캠페인에 나타난 해체주의적 특성)

  • Youngjae Lee
    • Journal of Fashion Business
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    • v.27 no.3
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    • pp.35-49
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    • 2023
  • The purpose is to derive its aesthetic characteristics by objectifying the visual image of the YouTube campaign into adjectives. As a result, we intend to identify advertising strategies that use them as basic data for setting fashion design concepts. A group of experts in fashion majors watched each of them, wrote adjectives, and collected 75 adjectives. By analyzing the frequency of adjectives, aesthetic characteristics were derived with adjectives recording the upper number of times, and the results were obtained that they had the characteristics of deconstruction. The conclusions of this study are as follows. First, Tamburin's Jenny appeared to be strange, scary, rambling and charming. Among the internal meanings of deconstruction due to spatial, social, and psychological distance from consumers, it can be said that T.P.O's mutual textuality and play of interaction. Second, Gucci Cruise be chosen rural, strange, wild, unharmonious, and difficult, which is a mixture of intertextuality and play of T.P.O. Third, The Excise Gucci Campaign parodies that juxtaposes six films directed by Stanley Kubrick, making them strange, retro, difficult, interesting, and wrong. Deconstructionist de-genre and de-boundary Fourth, Kenzo World is weird, dynamic, wrong, difficult, difficult, and confused, which correspond to T.P.O's interactive textuality, play of the second half, and destruction and decomposition among the external expressions of deconstruction. Fifth, Burberry Hero emphasized the aesthetic value of traditional men, so it was ostensibly wild, free, powerful, sensual, and fantastic. Compared to the lifestyle of men who usually work at work, this corresponds to play of second best.

A quantitative analysis of greenhouse gases emissions from catching swimming crab and snow crab through cross-analysis of multiple fisheries (다수 업종의 교차분석을 통한 꽃게 및 대게 어획 시 온실가스 배출량의 정량적 분석)

  • Gunho LEE;Jihoon LEE;Sua PARK;Minseo PARK
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.59 no.1
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    • pp.19-27
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    • 2023
  • The interest in greenhouse gases (GHG) emitted from all industries is emerging as a very important issue worldwide. This is affecting not only the global warming, but also the environmentally friendly competitiveness of the industry. The fisheries sector is increasingly interested in greenhouse gas emissions also due to the Paris Climate Agreement in 2015. Korean industry and government are also making a number of effort to reduce greenhouse gas emissions so far, but the effort to reduce GHG in the fishery sector is insufficient compared to other fields. Especially, the investigation on the GHG emissions from Korean fisheries did not carry out extensively. The studies on GHG emissions from Korean fishery are most likely dealt with the GHG emissions by fishery classification so far. However, the forthcoming research related to GHG emissions from fisheries is needed to evaluate the GHG emission level by species to prepare the adoption of Environmental labels and declarations (ISO 14020). The purpose of this research is to investigate which degree of GHG emitted to produce the species (swimming crab and snow crab) from various fisheries. Here, we calculated the GHG emission to produce the species from the fisheries using the life cycle assessment (LCA) method. The system boundary and input parameters for each process level are defined for LCA analysis. The fuel use coefficients of the fisheries for the species are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for producing the unit weight species and annual production are calculated by fishery classification. The results will be helpful to establish the carbon footprint of seafood in Korea.

MAGICal Synthesis: Memory-Efficient Approach for Generative Semiconductor Package Image Construction (MAGICal Synthesis: 반도체 패키지 이미지 생성을 위한 메모리 효율적 접근법)

  • Yunbin Chang;Wonyong Choi;Keejun Han
    • Journal of the Microelectronics and Packaging Society
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    • v.30 no.4
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    • pp.69-78
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    • 2023
  • With the rapid growth of artificial intelligence, the demand for semiconductors is enormously increasing everywhere. To ensure the manufacturing quality and quantity simultaneously, the importance of automatic defect detection during the packaging process has been re-visited by adapting various deep learning-based methodologies into automatic packaging defect inspection. Deep learning (DL) models require a large amount of data for training, but due to the nature of the semiconductor industry where security is important, sharing and labeling of relevant data is challenging, making it difficult for model training. In this study, we propose a new framework for securing sufficient data for DL models with fewer computing resources through a divide-and-conquer approach. The proposed method divides high-resolution images into pre-defined sub-regions and assigns conditional labels to each region, then trains individual sub-regions and boundaries with boundary loss inducing the globally coherent and seamless images. Afterwards, full-size image is reconstructed by combining divided sub-regions. The experimental results show that the images obtained through this research have high efficiency, consistency, quality, and generality.

A Data-driven Multiscale Analysis for Hyperelastic Composite Materials Based on the Mean-field Homogenization Method (초탄성 복합재의 평균장 균질화 데이터 기반 멀티스케일 해석)

  • Suhan Kim;Wonjoo Lee;Hyunseong Shin
    • Composites Research
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    • v.36 no.5
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    • pp.329-334
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    • 2023
  • The classical multiscale finite element (FE2 ) method involves iterative calculations of micro-boundary value problems for representative volume elements at every integration point in macro scale, making it a computationally time and data storage space. To overcome this, we developed the data-driven multiscale analysis method based on the mean-field homogenization (MFH). Data-driven computational mechanics (DDCM) analysis is a model-free approach that directly utilizes strain-stress datasets. For performing multiscale analysis, we efficiently construct a strain-stress database for the microstructure of composite materials using mean-field homogenization and conduct data-driven computational mechanics simulations based on this database. In this paper, we apply the developed multiscale analysis framework to an example, confirming the results of data-driven computational mechanics simulations considering the microstructure of a hyperelastic composite material. Therefore, the application of data-driven computational mechanics approach in multiscale analysis can be applied to various materials and structures, opening up new possibilities for multiscale analysis research and applications.

Study on derivation from large-amplitude size dependent internal resonances of homogeneous and FG rod-types

  • Somaye Jamali Shakhlavi;Reza Nazemnezhad
    • Advances in nano research
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    • v.16 no.2
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    • pp.111-125
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    • 2024
  • Recently, a lot of research has been done on the analysis of axial vibrations of homogeneous and FG nanotubes (nanorods) with various aspects of vibrations that have been fully mentioned in history. However, there is a lack of investigation of the dynamic internal resonances of FG nanotubes (nanorods) between them. This is one of the essential or substantial characteristics of nonlinear vibration systems that have many applications in various fields of engineering (making actuators, sensors, etc.) and medicine (improving the course of diseases such as cancers, etc.). For this reason, in this study, for the first time, the dynamic internal resonances of FG nanorods in the simultaneous presence of large-amplitude size dependent behaviour, inertial and shear effects are investigated for general state in detail. Such theoretical patterns permit as to carry out various numerical experiments, which is the key point in the expansion of advanced nano-devices in different sciences. This research presents an AFG novel nano resonator model based on the axial vibration of the elastic nanorod system in terms of derivation from large-amplitude size dependent internal modals interactions. The Hamilton's Principle is applied to achieve the basic equations in movement and boundary conditions, and a harmonic deferential quadrature method, and a multiple scale solution technique are employed to determine a semi-analytical solution. The interest of the current solution is seen in its specific procedure that useful for deriving general relationships of internal resonances of FG nanorods. The numerical results predicted by the presented formulation are compared with results already published in the literature to indicate the precision and efficiency of the used theory and method. The influences of gradient index, aspect ratio of FG nanorod, mode number, nonlinear effects, and nonlocal effects variations on the mechanical behavior of FG nanorods are examined and discussed in detail. Also, the inertial and shear traces on the formations of internal resonances of FG nanorods are studied, simultaneously. The obtained valid results of this research can be useful and practical as input data of experimental works and construction of devices related to axial vibrations of FG nanorods.