• 제목/요약/키워드: Color scheme

검색결과 414건 처리시간 0.028초

뉴시니어 여성을 위한 자전거의류의 착용 평가 (The Wearing Evaluation of Bicycle Wear for New Senior Women)

  • 정희경;이정란
    • 한국의류산업학회지
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    • 제19권3호
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    • pp.302-311
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    • 2017
  • The purpose of this study is to develop an aesthetic and functional bicycle wear for new senior women in their 50s and 60s. We developed bicycle wear that is friendly to bicycling posture and reflects the preference of new senior women. Both the expert group and the subject group evaluated the appearance, completeness of clothing and motion functionality. The results are as followed: First, in the evaluation result of the expert group regarding the appearance and completeness of clothing, high scores are given to design, materials, color scheme, the trends suitability as well as the appearance with regard to clothing fitness. Second, in the results of the evaluation of the appearance and movement functionality targeting the subject groups, movement functionality was rated higher than appearance. In the case of the appearance evaluation, adhesion of both jacket and pants was rated very highly, which is considered to come from the elasticity of the material. In the functionality evaluation, what were pointed out as inconvenient details in the prior studies were found to be all improved and the sleeves and armpit parts were rated highly. Therefore, the pattern design and the usage of the materials suggested in this study were found to be very suitable in the movement on the ride of bicycle.

畵像壓縮을 위한 適應 BTC 方法의 提案 (A New Proposal of Adaptive BTC for Image Data Compression)

  • 장기숭;오성목;이영철
    • 대한전자공학회논문지
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    • 제26권7호
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    • pp.125-131
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    • 1989
  • 본 논문에서는 기존의 BTC 방법을 개선한 새로운 ABTC(adaptive block truncation coding) 방법을 제안하였다. ABTC 알고리듬은 화상데이터의 부분적인 특성에 따라 압축방식을 선택적으로 적용함으로써 높은 압축률로 우수한 화질의 재생화면을 얻을 수 있다. ABTC 화상압축방식은 압축 알고리듬이 간단하면서도 높은 압축률을 얻을 수 있는 특징이 있다. 이 알고리듬을 사용하면 칼라화상을 1.0(bit/pel)에서 2.26(bit/pel)의 데이터 부호율 범위내에서 임의로 코딩할 수 있으며 원래의 화상에 비해 화질의 큰 손상없이 높은 압축률 $1.3{\sim}1.5bit/pel$을 얻을 수 있다.

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배기가스 저감을 위한 연소진단 시스템의 개발 (Development of Combustion Diagnostic System for Reducing the Exhausting Gas)

  • 이태영
    • 한국산업융합학회 논문집
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    • 제4권4호
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    • pp.403-411
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    • 2001
  • A criterion for evaluation of burners has changed recently, and the environmental problems are raised as a global issue. Burners with higher thermal efficiency and lower oxygen in the exhaust gas, evaluated better. To comply with environmental regulations, burners must satisfy the $NO_x$ and CO regulation. Consequently. 'good burner' means one whose thermal efficiency is high under the constraint of $NO_x$ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop a feedback control scheme whose output is the consistency of $NO_x$ and CO. This paper describes the development of a real time flame diagnosis technique that evaluate and diagnose the combustion states, such as consistency of components in exhaust gas, stability of flame in the quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using Neuro- Fuzzy algorithm. This study focuses on the relation of the color of the flame and the state of combustion. Neuro- Fuzzy learning algorithm is used in obtaining the fuzzy membership function and rules. Using the constructed inference algorithm, the amount of $NO_x$ and CO of the combustion gas was successfully inferred.

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Automatic Extraction of Lean Tissue for Pork Grading

  • Cho, Sung-Ho;Huan, Le Ngoc;Choi, Sun;Kim, Tae-Jung;Shin, Wu-Hyun;Hwang, Heon
    • Journal of Biosystems Engineering
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    • 제39권3호
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    • pp.174-183
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    • 2014
  • Purpose: A robust, efficient auto-grading computer vision system for meat carcasses is in high demand by researchers all over the world. In this paper, we discuss our study, in which we developed a system to speed up line processing and provide reliable results for pork grading, comparing the results of our algorithms with visual human subjectivity measurements. Methods: We differentiated fat and lean using an entropic correlation algorithm. We also developed a self-designed robust segmentation algorithm that successfully segmented several porkcut samples; this algorithm can help to eliminate the current issues associated with autothresholding. Results: In this study, we carefully considered the key step of autoextracting lean tissue. We introduced a self-proposed scheme and implemented it in over 200 pork-cut samples. The accuracy and computation time were acceptable, showing excellent potential for use in online commercial systems. Conclusions: This paper summarizes the main results reported in recent application studies, which include modifying and smoothing the lean area of pork-cut sections of commercial fresh pork by human experts for an auto-grading process. The developed algorithms were implemented in a prototype mobile processing unit, which can be implemented at the pork processing site.

Robust Segmentation for Low Quality Cell Images from Blood and Bone Marrow

  • Pan Chen;Fang Yi;Yan Xiang-Guo;Zheng Chong-Xun
    • International Journal of Control, Automation, and Systems
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    • 제4권5호
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    • pp.637-644
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    • 2006
  • Biomedical image is often complex. An applied image analysis system should deal with the images which are of quite low quality and are challenging to segment. This paper presents a framework for color cell image segmentation by learning and classification online. It is a robust two-stage scheme using kernel method and watershed transform. In first stage, a two-class SVM is employed to discriminate the pixels of object from background; where the SVM is trained on the data which has been analyzed using the mean shift procedure. A real-time training strategy is also developed for SVM. In second stage, as the post-processing, local watershed transform is used to separate clustering cells. Comparison with the SSF (Scale space filter) and classical watershed-based algorithm (those are often employed for cell image segmentation) is given. Experimental results demonstrate that the new method is more accurate and robust than compared methods.

옴니 카메라의 전방향 영상을 이용한 이동 로봇의 위치 인식 시스템 (Omni Camera Vision-Based Localization for Mobile Robots Navigation Using Omni-Directional Images)

  • 김종록;임미섭;임준홍
    • 제어로봇시스템학회논문지
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    • 제17권3호
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    • pp.206-210
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    • 2011
  • Vision-based robot localization is challenging due to the vast amount of visual information available, requiring extensive storage and processing time. To deal with these challenges, we propose the use of features extracted from omni-directional panoramic images and present a method for localization of a mobile robot equipped with an omni-directional camera. The core of the proposed scheme may be summarized as follows : First, we utilize an omni-directional camera which can capture instantaneous $360^{\circ}$ panoramic images around a robot. Second, Nodes around the robot are extracted by the correlation coefficients of Circular Horizontal Line between the landmark and the current captured image. Third, the robot position is determined from the locations by the proposed correlation-based landmark image matching. To accelerate computations, we have assigned the node candidates using color information and the correlation values are calculated based on Fast Fourier Transforms. Experiments show that the proposed method is effective in global localization of mobile robots and robust to lighting variations.

인체 체액에 대한 임베디드 진단 시스템의 설계 (Design of An Embedded Diagnosis System for Human Body Fluid)

  • 김원
    • 컴퓨터교육학회논문지
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    • 제15권6호
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    • pp.83-89
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    • 2012
  • 노령 인구가 늘어가는 나라일수록 다가오는 u-health 사회를 준비하는 것은 중요한 문제로 대두되고 있다. U-health 기술은 장소와 시간에 구애받지 않고 노인들의 건강을 관리하는 일을 도울 수 있는데, 그 이유는 유비쿼터스 기술은 그 핵심 개념을 건강 관리 문제와 결합할 수 있기 때문이다. 이 연구에서는 u-health 시대에 대비하여 인체 체액에 대한 자동화된 진단 시스템을 구성할 수 있는 설계 방법을 제안한다. 구체적으로 이 시스템은 임베디드 시스템, 빛 발생 시스템, 광 감지 시스템으로 이루어지는데, 화학적 시료 패드에 조사되는 빛으로부터 분산되는 빛을 분석하며 구체적 질병에 따라 미리 정의된 색상 값에 의하여 다양한 질병을 진단하는 기능을 한다. 제안된 시스템은 실제 하드웨어로 구현되었으며 95%의 신뢰성으로 정확하게 측정할 수 있는 성능을 보인다.

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교통영상에서의 규칙에 기반한 차량영역 검출기법 (Rule-based Detection of Vehicles in Traffic Scenes)

  • 박영태
    • 대한전자공학회논문지SP
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    • 제37권3호
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    • pp.31-40
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    • 2000
  • 영상정보에 기반한 교통제어시스템의 핵심요소인 교통영상에서의 차량의 위치, 대수를 측정하는 견실한 기법을 제시하였다. 제안한 기법은, 배경영상을 제거한 차 영상으로부터 국부 최적 임계값 산출기법에 의해 차량의 밝고 어두운 증거영역을 추출하고 차량의 기하학적 특정을 이용해 3개의 규칙으로 합병하는 증거추론 (Evidential reasoning)에 기반을 두었다 국부 최적 임계값 산출기법은 차량형상이 중첩되었거나 차량의 색상이 배경영상과 유사할 경우에도 치량의 밝고 어두운 증거영역의 분리를 보장한다 다양한 교통영상에 적용한 결과 카메라의 거리, 위치, 날씨 등의 동작 환경의 변화에 매우 견실한 검지 성능을 가점을 확인하였고 프레임사이의 움직임 정보를 사용하지 않았으므로 차량의 흐름이 정체되었을 경우에도 적용이 가능하다.

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DirectX기반 3차원 입체 eBook 영상 및 이미지 저작 도구 설계 (Design of 3D Stereoscopic Electronic Book Authoring Tool Based on DirectX)

  • 박진우;이근형;김진모;황소영
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 추계학술대회
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    • pp.171-173
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    • 2015
  • 본 논문에서는 DirectX 개발도구를 기반으로 3차원 입체 eBook을 쉽게 제작할 수 있는 저작도구 설계 방법을 제안한다. 제안하는 3D 저작 도구는 크게 3차원 객체 생성 및 수정, 텍스쳐 변경, 입체영상 모드 및 사진, 동영상 익스포트 기능으로 구성된다. 이러한 기능을 지원하기 위하여 3차원 객체를 생성하기 위한 데이터 구조, 색상차를 이용한 애너그리프 방식, 반디캡 라이브러리를 사용하여 동영상 익스포트 방법 등의 설계 방안을 제시한다.

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A 0.55" PDLC-LCoS Micro-display for Mobile Projectors

  • Do, Yun-Seon;Yang, Kee-Jeong;Sung, Shi-Joon;Kim, Jung-Ho;Lee, Gwang-Jun;Lee, Yong-Hwan;Chung, Hoon-Ju;Roh, Chang-Gu;Choi, Byeong-Dae
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.1527-1530
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    • 2009
  • A LCoS micro-display using polymer dispersed liquid crystals (PDLCs) for light switching layer was fabricated. The Si backplane of SVGA ($800{\times}600$) with a pixel size of $14{\times}14mm^2$ was prepared by a $0.35{\mu}m$ 18V CMOS process. PDLCs were filled in the gap between backplane and ITO glass by conventional vacuum filling method. The prepared panels were driven by a field sequential color (FSC) scheme at the frequency of 180Hz and were successful in modulating LED lights to show projection images. The preparation and performance of PDLC-LCoS are presented.

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