• 제목/요약/키워드: central feature

검색결과 307건 처리시간 0.027초

A 2.4-in QVGA p-Si LTPS AMLCD for Mobile Application

  • Chen, Yu-Cheng;Lin, Tai-Ming;Hsu, Tien-Chu
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.1029-1032
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    • 2005
  • A 262K-color QVGA LTPS AMLCD was developed. This panel has integrated gate driver and data multiplexer (1:3) by p_Si LTPS TFT process. The commercialized driver IC was adopted to implement this display. Fine image quality, low powerconsumption and cost-efficiency feature make the panel be suitable for mobile application.

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비젼에 의한 감성인식 (Emotion Recognition by Vision System)

  • 이상윤;오재흥;주영훈;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.203-207
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    • 2001
  • In this Paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using CCD color image. To do this, we first acquire the color image from the CCD camera, and then propose the method for recognizing the expression to be represented the structural correlation of man's feature Points(eyebrows, eye, nose, mouse) It is central technology that the Process of extract, separate and recognize correct data in the image. for representation is expressed by structural corelation of human's feature Points In the Proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Had separated complexion area using color-difference of color space by method that have separated background and human's face toughly to change such as external illumination in this paper. For this, we propose an algorithm to extract four feature Points from the face image acquired by the color CCD camera and find normalization face picture and some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector. Finally, we show the Practical application possibility of the proposed method.

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Music Genre Classification Based on Timbral Texture and Rhythmic Content Features

  • Baniya, Babu Kaji;Ghimire, Deepak;Lee, Joonwhon
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 춘계학술발표대회
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    • pp.204-207
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    • 2013
  • Music genre classification is an essential component for music information retrieval system. There are two important components to be considered for better genre classification, which are audio feature extraction and classifier. This paper incorporates two different kinds of features for genre classification, timbral texture and rhythmic content features. Timbral texture contains several spectral and Mel-frequency Cepstral Coefficient (MFCC) features. Before choosing a timbral feature we explore which feature contributes less significant role on genre discrimination. This facilitates the reduction of feature dimension. For the timbral features up to the 4-th order central moments and the covariance components of mutual features are considered to improve the overall classification result. For the rhythmic content the features extracted from beat histogram are selected. In the paper Extreme Learning Machine (ELM) with bagging is used as classifier for classifying the genres. Based on the proposed feature sets and classifier, experiment is performed with well-known datasets: GTZAN databases with ten different music genres, respectively. The proposed method acquires the better classification accuracy than the existing approaches.

Central Neurocytoma

  • Shin, Seung-Ho;Koh, Eun-Jeong;Choi, Ha-Young
    • Journal of Korean Neurosurgical Society
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    • 제39권2호
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    • pp.152-155
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    • 2006
  • Central neurocytoma is a rare, well-differentiated neuronal tumor and is usually located in the lateral or third ventricle of young adults. The occurrence of an intraventricular tumor with a characterisitic magnetic resonance image findings including isointense signal in T1-weighted images, the presence of a cystic component, small signal-void areas due to calcification, heterogenous and hyperintense "bubbly" appearance in T2-weighted images in a young patient should suggest preoperatively the diagnosis of central neurocytoma. The typical immunohistochemical finding, positivity for synaptophysin, is the main pathological feature. We experienced two cases of central neurocytomas with typical radiological and histopathological findings. We expect growth arrest of these cases by subtotal removal to avoid postoperative neurologic deficit followed by radiation therapy.

Comparison of Cellular Fatty Acid Composition and Genotypic Analysis of Bifidobacterium longum MK-G7 with Commercial Bifidobacteria Strains

  • Jung, Hoo-Kil;Kim, Eung-Ryool;Ji, Geun-Eog;Park, Jong-Hyun;Cha, Seong-Kwan;Juhn, Suk-Lak
    • Journal of Microbiology and Biotechnology
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    • 제10권2호
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    • pp.143-146
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    • 2000
  • This study was conducted to compare the cellular fatty acid composition and genotypic analysis of Bifidobacterium longum MK-G7 originated from Koreans with other commercial type strains of bifidobacteria. The cellular fatty acid of Bif. longum MK-G7 was shown to be composed of $C_{160FAME},C_{181\;c18DMA},C_{18.1\;CIS9\; FAME},C_{14.0FAME},C_{19\;0cye9,10 DMA},Feature7(C_{17.2 FAME), and Feature 10(C_{181\; Cll/t9/t6 FAME}$. Bif. longum MK-G7 showed 99.9% homology and the highest relatedness with Bif. longum ATCC 15707 type strain. Both Bif. longum MK-G7 and Bif. longum ATCC 15707 showed 153 bp products on RAPD (randomly amplified polymorphic DNA) analysis, however, they showed quite different band patterns on PFGE (pulsed-field gel electrophoresis) analysis. Consequently, our present study showed that Bif. longum MK-G7 was different from any commercial type strains of Bif. longum tested.

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3D VISION SYSTEM FOR THE RECOGNITION OF FREE PARKING SITE LOCATION

  • Jung, H.G.;Kim, D.S.;Yoon, P.J.;Kim, J.H.
    • International Journal of Automotive Technology
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    • 제7권3호
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    • pp.361-367
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    • 2006
  • This paper describes a novel stereo vision based localization of free parking site, which recognizes the target position of automatic parking system. Pixel structure classification and feature based stereo matching extract the 3D information of parking site in real time. The pixel structure represents intensity configuration around a pixel and the feature based stereo matching uses step-by-step investigation strategy to reduce computational load. This paper considers only parking site divided by marking, which is generally drawn according to relevant standards. Parking site marking is separated by plane surface constraint and is transformed into bird's eye view, on which template matching is performed to determine the location of parking site. Obstacle depth map, which is generated from the disparity of adjacent vehicles, can be used as the guideline of template matching by limiting search range and orientation. Proposed method using both the obstacle depth map and the bird's eye view of parking site marking increases operation speed and robustness to visual noise by effectively limiting search range.

CHARACTERIZING THE TIME-FREQUENCY PROPERTIES OF THE 4 Hz QUASI-PERIODIC OSCILLATION AROUND THE BLACK HOLE X-ray BINARY XTE J1550-564

  • SU, YI-HAO;CHOU, YI;HU, CHIN-PING;YANG, TING-CHANG;HSIEH, HUNG-EN;CHUANG, PO-SHENG;LIN, CHING-PING;LIAO, NAI-HUI
    • 천문학논총
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    • 제30권2호
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    • pp.587-589
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    • 2015
  • We present the results from analysis of the Hilbert-Huang transform (HHT) for the 4 Hz quasi-periodic oscillations (QPO) around the black hole X-ray binary XTE J1550-564. The resultant Hilbert spectra demonstrate that the QPO is composed of a series of intermittent signals appearing occasionally. From the analysis of the HHT, we further found the distribution of the lifetimes for the intermittent oscillations and the distribution for the time intervals with no significant signal (the break time). The mean lifetime is 1.45 s and 90% of the oscillation segments have lifetimes less than 3.1 s whereas the mean break time is 0.42 s and 90% of break times are less than 0.73 s. We conclude that the intermittent feature of the QPO could be explained by the Lense-Thirring precession model and rules out interpretations of continual frequency modulation.

분류층 석탄 가스화기 반응 유동장 변수 전산해석 연구 (PARAMETRIC NUMERICAL STUDY OF THE REACTING FLOW FIELD OF A COAL SLURRY ENTRAINED GASIFIER)

  • 송우영;김혜숙;신미수;장동순;이재구
    • 한국전산유체공학회지
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    • 제19권3호
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    • pp.44-51
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    • 2014
  • Considering the importance of the detailed resolution of the reacting flow field inside a gasifier, the objective of this study lies on to investigate the effect of important variables to influence on the reacting flow and thereby to clarify the physical feature occurring inside the gasifier using a comprehensive gasifier computer program. Thus, in this study the gasification process of a 1.0 ton/day gasifier are numerically modeled using the Fluent code. And parametric investigation has been made in terms of swirl intensity and aspect ratio of the gasifier. Doing this, special attention is given on the detailed change of the reacting flow field inside a gasifier especially with the change of this kind of design and operation parameters. Based on this study, a number of useful conclusions can be drawn in the view of flow pattern inside gasifier together with the consequence of the gasification process caused by the change of the flow pattern. Especially, swirl effect gives rise to a feature of a central delayed recirculation zone, which is different from the typical strong central recirculation appeared near the inlet nozzle. The delayed feature of central recirculation appearance could be explained by the increased axial momentum due to the substantial amount of the presence of the coal slurry occupying over the entire gasifier in gasification process. Further, the changes of flow pattern are explained in detail with the gasifier aspect ratio. In general, the results obtained are physically acceptable in parametric study.

서포트 벡터 머신을 이용한 볼 베어링의 결함 정도 진단 (Fault Severity Diagnosis of Ball Bearing by Support Vector Machine)

  • 김양석;이도환;김대웅
    • 대한기계학회논문집B
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    • 제37권6호
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    • pp.551-558
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    • 2013
  • 서포트 벡터 머신(Support Vector Machine, SVM)은 학습용 데이터 집합이 확보되어 있을 경우, 매우 강력한 분류 알고리즘이다. 따라서 패턴인식은 물론 기계학습 분야에서 결함진단 도구의 하나로 이용되고 있다. 본 논문에서는 최적 특징과 SVM 을 이용하여 볼 베어링의 결함유형과 결함의 정도를 진단한 결과를 기술하였다. SVM 학습용 특징데이터에는 12 개의 시간영역 특징과 9 개의 주파수영역 특징들이 포함되어 있으며 이들 특징들은 다양한 베어링 결함조건에서 측정된 진동신호와 진동신호의 이산 웨이블렛 변환신호로부터 추출되었다.

자질이론과 원소이론의 비교 연구 (A Comparative Study of Feature Theory and Element Theory)

  • 성철제
    • 대한음성학회지:말소리
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    • 제29_30호
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    • pp.19-42
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    • 1995
  • This paper deals with the current phonological theory named the elementary theory Before manipulating this theory with highest depth, we need to discuss the distinctive feature theory which can be estimated as playing a central role in the standard generative trends. En the element-based phonological theory, the followings might act as tile main traits in differentiating it from other theories: the notion of phonological opposition is regarded as privative one, treating the univalent element as an analysing unit in a phonological process instead of distinctive features, and the nile convention in standard theory is replaced by the element. In chapter 2, a brief history of generative theory is to be described with respect to the merits and demerits of the distinctive feature theory. In chapter 3, After dealing with the current tendency and some prominent aspects of each element theory, a couple of problems thought to be confronted by the distinctive feature theory And the analysing method taken from the element-based theory which may be regarded currently as the alternative to the problems mentioned above will be discussed mainly, The government-based theory introduced by KLV(1985, 1988) may be the main target in discussing the current topic.

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