• Title/Summary/Keyword: self-object

검색결과 583건 처리시간 0.032초

현대 패션에 나타난 재현과 되기 현상에 대한 비교 연구 -미메시스와 들뢰즈의 되기 이론을 중심으로- (A Comparative Study on the Representation and Becoming Phenomenon Expressed in Contemporary Fashion -Focusing on the Theory of Mimesis and Deleuze's Becoming-)

  • 양희영
    • 한국의류학회지
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    • 제33권2호
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    • pp.200-212
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    • 2009
  • Since the late of 20C, contemporary fashion have becoming enlargement between role and function of fashion through the combination and the deconstruction among various different spheres. Because multi-functional and trans-formal fashion transforms and extends original space and role toward any other fields through the morphologic and structural combination, this has been freed form the representational function pursuing more simple morphologic imitation, and becomes to change the space that is able to 'becoming' of Jill Deleuze. This paper intends to make a comparative study between the representation phenomenon about simple morphologic imitation of existing fashion design, and the becoming phenomenon of fashion focused on the change toward any other different object. This studies' conclusion as follows. 1) First representation imitates a lot of nature forms that are able to be restored any fixed form and picture. 2) Second representation is the representation of representation that re-imitates imitated object and art work. 3) Ontalogical becoming is classified with depaysement, self-presentation of fashion, morphing, and becoming the nature as a element.

초등학생의 논리적 사고력 향상을 위한 객체지향 프로그래밍 교육 연구 (A Study on Object-Oriented Programming Education for Improving Logical Thinking Ability of Elementary School Students)

  • 박경모;홍태진
    • 디지털콘텐츠학회 논문지
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    • 제10권2호
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    • pp.367-373
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    • 2009
  • 컴퓨터 프로그래밍 교육에서는 추상적 개념을 이해하고 주어진 문제를 스스로 해결하도록 한다. 기존의 프로그래밍 교육에서 BASIC, C와 같은 절차적 프로그래밍 언어에 대한 연구는 많이 있지만 JAVA와 같은 객체지향 프로그래밍 언어를 통한 교육콘텐츠는 찾아보기 힘들다. 본 논문에서는 구조 중립적이며, 분산 인터넷 환경에 적합한 특성을 가지고 있는 객체지향 프로그래밍(OOP)/JAVA 학습 시스템을 개발하여, 초등학교 학생들로 하여금 활용하도록 하였다. OOP/JAVA 학습 시스템을 통한 객체지향 프로그래밍 교육은 초등학생들의 논리적 사고력을 향상시키고, 수학, 과학 과목의 학습 성취도에 긍정적인 영향을 주는 동시에 컴퓨터에 대한 흥미도가 상승함을 실험을 통해 확인할 수 있었다.

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수동형 원격탐지 FTIR 분광계의 Radiometric Calibration (Radiometric Calibration of FTIR Spectrometer For Passive Remote Sensing Application)

  • 김대성;박도현;최승기;나성웅
    • 한국광학회지
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    • 제17권5호
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    • pp.391-395
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    • 2006
  • 본 논문에서는 온도 제어가 가능한 blackbody를 이용하여 수동형 FTIR 분광계의 radiometric calibration을 수행하고 타당성을 살펴보았다. Radiometric calibration은 분광계로 입사되는 radiance의 온도 변화에 대한 광 검출기의 파장 별 응답특성과 기기 내부에서 발생되는 온도 및 반사율에 의해 발생되는 측정 오차를 보정하여 Planck radiance로 변환하는 기법이다. 시료에 대한 calibration 과정을 수행한 스펙트럼을 spectral library와 비교한 결과, 흡수 스펙트럼의 파장 별 선폭과 상대적인 intensity가 매우 유사하게 나타났으며 입사 광원의 온도차와 비례하여 spectral intensity가 일정하게 증가됨을 확인할 수 있었다.

코르셋의 양면성에 관한 고찰 - 포스트페미니즘 시각을 중심으로 - (The ambivalence of corset: Post-feminism perspectives)

  • 임은혁
    • 한국의상디자인학회지
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    • 제20권4호
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    • pp.17-30
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    • 2018
  • This study discusses the ambivalence and ambiguity in the relationship between the women's body and fashion drawings in respect to post-feminism perspectives. Deconstructivist post-feminists, perceiving the body as a passive subject, asserted that women internalize the male gaze by becoming the object of male desire, then manipulate the body to conform to that ideal. In this perspective, corsets assumed the role of the tool for forcing women's body to be obedient, restraining and suppressing the body. On the other hand, in the essentialist post-feminist perspective, which regards the women's body as an active object, insists that fashion, in its essence, is not necessarily about sex, nor is it devised to attract the male gaze. In such a viewpoint, the women's body functions as a vehicle for empowerment; by wearing corset women gain power and embraces the cultural norms of dominant beauty. As investigated in this study, the corset is both a tool for oppressing the women's body, as well as a vehicle for the voluntary expression of femininity. This ambivalence in the perception of the corset in the post-feminist theory represents the double-sided perspective in fashion as being both a subordinate construction and a powerful tool for self-expression.

정점 기반 접착력 모델을 활용한 젖은 옷감 애니메이션 (Wet cloth animation with vertex based adhesion force model)

  • 박민주;변혜원
    • 한국컴퓨터그래픽스학회논문지
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    • 제25권1호
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    • pp.1-11
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    • 2019
  • 책상 위에 놓인 젖은 옷감을 움직이기 위해서는 마른 옷감을 움직일 때와 비교하여 더 많은 힘이 필요하게 되는데, 그 이유는 젖은 옷감과 책상의 표면 사이의 위치한 유체가 접착력을 만들어내기 때문이다. 본 논문은 젖은 옷감이 물체의 표면에 달라 붙는 현상에 집중하여 젖은 옷감을 표현한다. 접착력을 계산하기 위해서 우리는 섬유 관련 연구 분야에서 실제 실험을 기반으로 모델링한 접착력 모델을 활용하였고, 기존 연구와 다르게 젖은 옷감이 물체와 닿아있는 부분에서도 자연스럽게 주름이 만들어지는 모습을 표현한다. 젖은 옷감이 물체에 달라 붙는 현상과 더불어 젖은 옷감끼리도 서로에게 달라 붙는 현상을 표현함으로써 보다 실제의 젖은 옷감과 유사한 결과를 보인다.

Insights from an OKMC simulation of dose rate effects on the irradiated microstructure of RPV model alloys

  • Jianyang Li;Chonghong Zhang;Ignacio Martin-Bragado;Yitao Yang;Tieshan Wang
    • Nuclear Engineering and Technology
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    • 제55권3호
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    • pp.958-967
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    • 2023
  • This work studies the defect features in a dilute FeMnNi alloy by an Object Kinetic Monte Carlo (OKMC) model based on the "grey-alloy" method. The dose rate effect is studied at 573 K in a wide range of dose rates from 10-8 to 10-4 displacement per atom (dpa)/s and demonstrates that the density of defect clusters rises while the average size of defect clusters decreases with increasing dose rate. However, the dose-rate effect decreases with increasing irradiation dose. The model considered two realistic mechanisms for producing <100>-type self-interstitial atom (SIA) loops and gave reasonable production ratios compared with experimental results. Our simulation shows that the proportion of <100>-type SIA loops could change obviously with the dose rate, influencing hardening prediction for various dose rates irradiation. We also investigated ways to compensate for the dose rate effect. The simulation results verified that about a 100 K temperature shift at a high dose rate of 1×10-4 dpa/s could produce similar irradiation microstructures to a lower dose rate of 1×10-7 dpa/s irradiation, including matrix defects and deduced solute migration events. The work brings new insight into the OKMC modeling and the dose rate effect of the Fe-based alloys.

이미지 캡셔닝 기반의 새로운 위험도 측정 모델 (A Novel Image Captioning based Risk Assessment Model)

  • 전민성;고재필;최경주
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.119-136
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    • 2023
  • Purpose We introduce a groundbreaking surveillance system explicitly designed to overcome the limitations typically associated with conventional surveillance systems, which often focus primarily on object-centric behavior analysis. Design/methodology/approach The study introduces an innovative approach to risk assessment in surveillance, employing image captioning to generate descriptive captions that effectively encapsulate the interactions among objects, actions, and spatial elements within observed scenes. To support our methodology, we developed a distinctive dataset comprising pairs of [image-caption-danger score] for training purposes. We fine-tuned the BLIP-2 model using this dataset and utilized BERT to decipher the semantic content of the generated captions for assessing risk levels. Findings In a series of experiments conducted with our self-constructed datasets, we illustrate that these datasets offer a wealth of information for risk assessment and display outstanding performance in this area. In comparison to models pre-trained on established datasets, our generated captions thoroughly encompass the necessary object attributes, behaviors, and spatial context crucial for the surveillance system. Additionally, they showcase adaptability to novel sentence structures, ensuring their versatility across a range of contexts.

A Study on the Implementation of RFID-based Autonomous Navigation System for Robotic Cellular Phone(RCP)

  • Choe, Jae-Il;Choi, Jung-Wook;Oh, Dong-Ik;Kim, Seung-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.457-462
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    • 2005
  • Industrial and economical importance of CP(Cellular Phone) is growing rapidly. Combined with IT technology, CP is currently one of the most attractive technologies for all. However, unless we find a breakthrough to the technology, its growth may slow down soon. RT(Robot Technology) is considered one of the most promising next generation technology. Unlike the industrial robot of the past, today's robots require advanced technologies, such as soft computing, human-friendly interface, interaction technique, speech recognition, object recognition, and many others. In this study, we present a new technological concept named RCP(Robotic Cellular Phone), which combines RT & CP, in the vision of opening a new direction to the advance of CP, IT, and RT all together. RCP consists of 3 sub-modules. They are $RCP^{Mobility}$, $RCP^{Interaction}$, and $RCP^{Interaction}$. $RCP^{Mobility}$ is the main focus of this paper. It is an autonomous navigation system that combines RT mobility with CP. Through $RCP^{Mobility}$, we should be able to provide CP with robotic functionalities such as auto-charging and real-world robotic entertainments. Eventually, CP may become a robotic pet to the human being. $RCP^{Mobility}$ consists of various controllers. Two of the main controllers are trajectory controller and self-localization controller. While Trajectory Controller is responsible for the wheel-based navigation of RCP, Self-Localization Controller provides localization information of the moving RCP. With the coordinate information acquired from RFID-based self-localization controller, Trajectory Controller refines RCP's movement to achieve better RCP navigations. In this paper, a prototype system we developed for $RCP^{Mobility}$ is presented. We describe overall structure of the system and provide experimental results of the RCP navigation.

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다양한 복합레진 시스템의 변연 누출도 (MICROLEAKAGE OF VARIOUS COMPOSITE RESIN SYSTEMS)

  • 김인수;민경산;신동훈
    • Restorative Dentistry and Endodontics
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    • 제28권2호
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    • pp.127-133
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    • 2003
  • The object of this study was to compare the microleakage between various composite resin systems of multistep, one-bottle, and self-etching systems using electrical conductivity. After making class V cavities ($4{\times}3{\times}1.5{\;}mm$ around CEJ), they were bulk filled with three kinds of resins of A3. Teeth were storaged in a saline solution for one day, after then, they were finished and polished using Sof-Lex system. Another stress of thermocycling was made for 500 times from $5^{\circ}{\;}to{\;}55^{\circ}C$ with each dwelling time of 10 seconds. Electrical conductivity (microamphere, $\mu\textrm{A}$) was checked four times: before and after cavity preparation, after filing, after thermocycling. One-way ANOVA and 95% Scheffe Post Hoc test was used for checking any statistical difference among groups. Another 95% Paired Samples T-test was also used for estimating any significant difference within group after cavity filling or thermocycling. The results were as follows: 1 Every specimen showed various range of microleakage after filing. There was, however, no difference between composite resin systems. 2. All composite resin systems showed marked increase in microleakage with a thermocycling (p<0.05), there was, however, no difference between composite resin systems. 3. Although there was no significant difference between groups (p=0.078), one-bottle and self-etching systems seemed to be unstable than multistep system. Within the limits of this study, it was concluded that much more consideration should be needed when using thermally unstable one-bottle and self-etching systems that have multi-advantages from simplified step. More studies will be needed to solve these kinds of problems.

자기 주의 증류를 이용한 심층 신경망 기반의 그림자 제거 (Shadow Removal based on the Deep Neural Network Using Self Attention Distillation)

  • 김진희;김원준
    • 방송공학회논문지
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    • 제26권4호
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    • pp.419-428
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    • 2021
  • 그림자 제거는 객체 추적 및 검출 등 영상처리 기술의 핵심 전처리 요소이다. 최근 심층 합성곱 신경망 (Deep Convolutional Neural Network) 기반의 영상 인식 기술이 발전함에 따라 심층 학습을 이용한 그림자 제거 연구들이 활발히 진행되고 있다. 본 논문에서는 자기 주의 증류(Self Attention Distillation)를 이용하여 심층 특징을 추출하는 새로운 그림자 제거 방법을 제안한다. 제안된 방법은 각 층에서 추출된 그림자 검출 결과를 하향식 증류를 통해 점진적으로 정제한다. 특히, 그림자 검출 결과에 대한 정답을 이용하지 않고 그림자 제거를 위한 문맥적 정보를 형성함으로써 효율적인 심층 신경망 학습을 수행한다. 그림자 제거를 위한 다양한 데이터 셋에 대한 실험 결과를 통해 제안하는 방법이 실제 환경에서 발생한 그림자 제거에 효과적임을 보인다.