• 제목/요약/키워드: level-based

검색결과 29,068건 처리시간 0.053초

A Look-Up Table Based Error Diffusion Algorithm for Dynamic False Contour Reduction of Plasma Display Panels

  • Lee, Ho-Seop;Kim, Choon-Woo
    • Journal of Information Display
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    • 제2권2호
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    • pp.32-38
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    • 2001
  • PDP(plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look-up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

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Compar ison of Level Set-based Active Contour Models on Subcor tical Image Segmentation

  • Vongphachanh, Bouasone;Choi, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제18권7호
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    • pp.827-833
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    • 2015
  • In this paper, we have compared three level set-based active contour (LSAC) methods on inhomogeneous MR image segmentation which is known as an important role of brain diseases to diagnosis and treatment in early. MR image is often occurred a problem with similar intensities and weak boundaries which have been causing many segmentation methods. However, LSAC method could be able to segment the targets such as the level set based on the local image fitting energy, the local binary fitting energy, and local Gaussian distribution fitting energy. Our implemented and tested the subcortical image segmentations were the corpus callosum and hippocampus and finally demonstrated their effectiveness. Consequently, the level set based on local Gaussian distribution fitting energy has obtained the best model to accurate and robust for the subcortical image segmentation.

Does Happiness Always Lead to Reliance on Feelings in Decision Making?

  • Moon-Yong Kim
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.370-377
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    • 2023
  • Previous research has demonstrated that happy moods are known to promote feeling-based processing, whereas sad moods promote reason-based processing. The current research investigates a boundary condition for the effects of a happy mood on feeling-based decision making. This research proposes that the level of control (low vs. high) one exercises in a happy situation can promote a greater reliance on feelings (vs. reasons) in making judgments and decisions. Specifically, we hypothesize that (1) a happy individual in a situation where control level is low (vs. high) will be more likely to choose a cognitively (vs. affectively) superior option (hypothesis 1), and (2) a happy individual in a situation where control level is low (vs. high) will exert reason- (vs. feeling-) based processing (hypothesis 2). Consistent with the hypothesis 1, the results of two experiments show that happy individuals are more likely to choose cognitively versus affectively superior options in a situation where control level is low (vs. high). Moreover, the mediation analysis confirms that happy individuals are more likely to rely on cognitive, reason-based decision making when their control level is low, which supports the hypothesis 2.

영역 기반의 Multi-level Thresholding에 의한 컬러 영상 분할 (Region-based Multi-level Thresholding for Color Image Segmentation)

  • 오준택;김욱현
    • 대한전자공학회논문지SP
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    • 제43권6호
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    • pp.20-27
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    • 2006
  • Multi-level thresholding은 영상 분할 방법 중 하나로 널리 이용되고 있지만 대부분의 기존 논문들은 응용 분야에 직접적으로 이용되기에는 적합하지 않거나 영상 분할 단계까지 확장되지 않고 있다. 본 논문에서는 영상 분할을 위한 multi-level thresholding 방안으로써 영역 단위의 multi-level thresholding을 제안한다. 먼저, 영상의 색상별 성분에 대해서 EWFCM(Entropy-based Weighted Fuzzy C-Means) 알고리즘을 적용하여 2개의 군집으로 분류한 후 코드 영상을 생성한다. EWFCM 알고리즘은 화소들에 대한 공간 정보를 추가한 개선된 FCM 알고리즘으로 영상 내 존재하는 잡음을 제거한다. 그리고 코드 영상에 존재하는 군집의 수를 감소함으로써 좀 더 나은 영상 분할 결과를 얻을 수 있으며 군집의 감소는 하나의 군집내에 존재하는 영역들과 나머지 군집들간의 유사도를 기반으로 영역을 재분류함으로써 처리된다. 그러나 영상에는 여전히 많은 영역들이 존재하기 때문에 이를 해결하기 위한 하나의 후처리 방안으로써 영역간의 Kullback-Leibler 거리값을 기반으로 Bayesian 알고리즘에 의한 영역 합병을 수행한다. 실험 결과 제안한 영역 기반의 multi-level thresholding은 기존 방법이나 화소나 군집 기반의 multi-level thresholding보다 좋은 분할 결과를 보였으며 Bayesian 알고리즘을 이용한 후처리 방안에 의해 좀 더 나은 결과를 보였다.

Automatic Speech Database Verification Method Based on Confidence Measure

  • Kang Jeomja;Jung Hoyoung;Kim Sanghun
    • 대한음성학회지:말소리
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    • 제51호
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    • pp.71-84
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    • 2004
  • In this paper, we propose the automatic speech database verification method(or called automatic verification) based on confidence measure for a large speech database. This method verifies the consistency between given transcription and speech using the confidence measure. The automatic verification process consists of two stages : the word-level likelihood computation stage and multi-level likelihood ratio computation stage. In the word-level likelihood computation stage, we calculate the word-level likelihood using the viterbi decoding algorithm and make the segment information. In the multi-level likelihood ratio computation stage, we calculate the word-level and the phone-level likelihood ratio based on confidence measure with anti-phone model. By automatic verification, we have achieved about 61% error reduction. And also we can reduce the verification time from 1 month in manual to 1-2 days in automatic.

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적응적 내부 경계를 갖는 레벨셋 방법을 이용한 쉘 구조물의 위상최적설계 (Topology Optimization of Shell Structures Using Adaptive Inner-Front Level Set Method (AIFLSM))

  • 박강수;윤성기
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.354-359
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    • 2007
  • A new level set based topology optimization employing inner-front creation algorithm is presented. In the conventional level set based topology optimization, the optimum topology strongly depends on the initial level set distribution due to the incapability of inner-front creation during optimization process. In the present work, an inner-front creation algorithm is proposed, in which the sizes, positions, and number of new inner-fronts during the optimization process can be globally and consistently identified. To update the level set function during the optimization process, the least-squares finite element method is employed. As demonstrative examples for the flexibility and usefulness of the proposed method, the level set based topology optimization considering lightweight design of 3D shell structure is carried out.

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Design and Evaluation of the Model Based Controller for a U-tube Steam Generator Level

  • Kim, Keung-Koo;Lee, Doojeong;John E. Meyer;David D. Lanning;John A. Bernard
    • Nuclear Engineering and Technology
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    • 제29권1호
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    • pp.15-24
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    • 1997
  • The design and evaluation of a digital U-tube steam generator level controller of nuclear power plants, which uses model-based compensators to offset the inverse response behavior of water level, is described. Included is a review of steam generator level dynamics, a simulation model that replicates the effects of feedwater and steam flowrate as well as temperature on steam generator level, the design of both the compensators and the overall controller, and the results of simulation studies in which the performances of this model-based controller and existing analog ones were compared. The proposed digital steam generator level controller is stable and its use significantly improves the controllability of steam generator level.

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Internet based job competency development system for small IT business

  • Cho, Eun-Soon
    • International Journal of Contents
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    • 제6권4호
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    • pp.57-61
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    • 2010
  • This paper designed and developed internet based competency developing system for small IT (Information & Technology) companies. The purpose of this system was to provide career development opportunities to small IT business workers for their longstanding employment and self-improvement job skills. This study analyzed job competencies based on job descriptions from two IT companies. The survey was conducted to analyze employees' self-assessed current job competency level and effective ways of improving their current level of competencies. From the results of survey, most of subjects indicated their job competencies were in between mid-level to low level, and they required the need of training programs to improve their job knowledge and experience. Based on the interview from field experts about job competency development, this study designed and developed the internet based competency development system to provide effective and efficient way of improving job competencies and needed training programs for small IT business employees.

25MW급 대용량 멀티레벨 인버터의 시뮬레이션 기반 손실해석과 출력특성 비교 분석 (Simulation based Comparative Loss Analysis and Output Characteristic for 25MW Class of High Power Multi-level Inverters)

  • 김이김;박찬배;백제훈;곽상신
    • 전력전자학회논문지
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    • 제20권4호
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    • pp.337-343
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    • 2015
  • The multi-level inverters are highly efficient for high-power and medium-voltage AC driving applications, such as high-speed railway systems and renewable energy resources, because such inverters generate lower total harmonic distortion (THD) and electromagnetic interface (EMI). Lower switching stress occurs on switching devices compared with conventional two-level inverters. Depending on the multi-level inverter topology, the required components and number of switching devices are different, influencing the overall efficiency. Comparative studies of multi-level inverters based on loss analysis and output characteristic are necessary to apply multi-level inverters in high-power AC conversion systems. This paper proposes a theoretical loss analysis method based on piecewise linearization of characteristic curves of power semiconductor devices as well as loss analysis and output performance comparison of five-level neutral-point clamped, flying capacitor inverters, and high-level cascaded H-bridge multi-level inverters.

HSDPA MIMO 시스템을 위한 Griffiths 알고리즘 기반 적응 LMMSE Equalizer (Griffiths' Algorithm Based Adaptive LMMSE Equalizers for HSDPA MIMO Systems)

  • 주정석
    • 대한전자공학회논문지TC
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    • 제48권11호
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    • pp.28-34
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    • 2011
  • 최근 들어 CDMA 기반 시스템에서 고속 데이터 서비스 지원을 위한 수신 성능 개선 방법의 하나로 chip-level equalization 기법에 대한 연구가 활발히 진행되고 있다. 이와 관련된 연구의 하나로 본 논문에서는 D-TxAA (dual stream transmit antenna array) 방식을 사용하는 HSDPA MIMO 시스템에 적용 가능한 Griffiths algorithm 기반 chip-level 적응 LMMSE equalizer의 구조를 제안하고자 한다. 먼저 Griffiths 알고리즘을 D-TxAA 방식에 적용할 경우 사용 가능한 두 가지 형태의 적응 LMMSE equalizer 구조를 유도할 것이며, 여러 채널 환경에 대한 컴퓨터 모의실험을 통해 두 수신기의 성능을 비교 분석하고자 한다.