• 제목/요약/키워드: Non-extraction

검색결과 1,065건 처리시간 0.025초

표면 근전도 신호로부터 선형회귀 직선 추정 알고리즘들의 비교 (Comparison of Algorithms Estimating Linear Regression Line from Surface EMG Signals)

  • 이진;권혁목
    • 전기학회논문지
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    • 제57권3호
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    • pp.527-535
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    • 2008
  • Many signal processing techniques have been described in the literature for estimating amplitude, frequency and duration variables of the surface EMG signal detected during constant voluntary contractions. They have been used in different application areas for the non-invasive assessment of muscle function. The main purpose of our research is to compare the most frequently used algorithms for information extraction from surface EMG signals under varying conditions in terms of the different window lengths, muscle contraction levels, muscles and subjects. In particular we focus on the issue of estimating the slope and intercept to resolve an linear regression line with utilizing real SEMG signals which represents voluntary contractions during thirty seconds.

전자회로 도면관리를 위한 벡터화와 회로 기호의 인식 (The vectorization and recognition of circuit symbols for electronic circuit drawing management)

  • 백영묵;석종원;진성일;황찬식
    • 전자공학회논문지B
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    • 제33B권3호
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    • pp.176-185
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    • 1996
  • Transformin the huge size of drawings into a suitable format for CAD system and recognizng the contents of drawings are the major concerans in the automated analysis of engineering drawings. This paper proposes some methods for text/graphics separation, symbol extraction, vectorization and symbol recognition with the object of applying them to electronic cirucit drawings. We use MBR (Minimum bounding rectangle) and size of isolated region on the drawings for separating text and graphic regions. Characteristics parameters such as the number of pixels, the length of circular constant and the degree of round shape are used for extracting loop symbols and geometric structures for non-loop symbols. To recognize symbols, nearest netighbor between FD (foruier descriptor) of extractd symbols and these of classification reference symbols is used. Experimental results show that the proposed method can generate compact vector representation of extracted symbols and perform the scale change and rotation of extracted symbol using symbol vectorization. Also we achieve an efficient searching of circuit drawings.

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Harmonics-based Spectral Subtraction and Feature Vector Normalization for Robust Speech Recognition

  • Beh, Joung-Hoon;Lee, Heung-Kyu;Kwon, Oh-Il;Ko, Han-Seok
    • 음성과학
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    • 제11권1호
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    • pp.7-20
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    • 2004
  • In this paper, we propose a two-step noise compensation algorithm in feature extraction for achieving robust speech recognition. The proposed method frees us from requiring a priori information on noisy environments and is simple to implement. First, in frequency domain, the Harmonics-based Spectral Subtraction (HSS) is applied so that it reduces the additive background noise and makes the shape of harmonics in speech spectrum more pronounced. We then apply a judiciously weighted variance Feature Vector Normalization (FVN) to compensate for both the channel distortion and additive noise. The weighted variance FVN compensates for the variance mismatch in both the speech and the non-speech regions respectively. Representative performance evaluation using Aurora 2 database shows that the proposed method yields 27.18% relative improvement in accuracy under a multi-noise training task and 57.94% relative improvement under a clean training task.

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Intra-and Inter-frame Features for Automatic Speech Recognition

  • Lee, Sung Joo;Kang, Byung Ok;Chung, Hoon;Lee, Yunkeun
    • ETRI Journal
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    • 제36권3호
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    • pp.514-517
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    • 2014
  • In this paper, alternative dynamic features for speech recognition are proposed. The goal of this work is to improve speech recognition accuracy by deriving the representation of distinctive dynamic characteristics from a speech spectrum. This work was inspired by two temporal dynamics of a speech signal. One is the highly non-stationary nature of speech, and the other is the inter-frame change of a speech spectrum. We adopt the use of a sub-frame spectrum analyzer to capture very rapid spectral changes within a speech analysis frame. In addition, we attempt to measure spectral fluctuations of a more complex manner as opposed to traditional dynamic features such as delta or double-delta. To evaluate the proposed features, speech recognition tests over smartphone environments were conducted. The experimental results show that the feature streams simply combined with the proposed features are effective for an improvement in the recognition accuracy of a hidden Markov model-based speech recognizer.

성장중인 수토끼에서 혈청 IGF-I 수준과 Flow Cytometry 측정 정자형성의 변화

  • 김창근;이주형;방명걸;류재원;장유민;박민영;지달영;정영채
    • 한국동물번식학회:학술대회논문집
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    • 한국동물번식학회 2004년도 춘계학술발표대회
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    • pp.279-279
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    • 2004
  • 성장중인 수토끼에서 성성숙 전후의 혈청내 IGF-I 수준과 정자형성의 변화를 12주령부터 28주령까지 2주 간격으로 조사하였다. IGF-I 수준 측정은 non-extraction IGF-I ELISA kit(Biognostic System, Lab, USA)를 이용하였으며 정소내 정자형성은 biopsy needle(22G×3¹/₂ 72㎜×8.89㎝, Becton Dickinson, USA)로 채취한 정소조직을 fled ctyometric ploidy analysis로 DNA histogram을 4개 peak(peak Ⅰ과Ⅱ :1N, peak Ⅱ :2N, peak Ⅳ : 4N, peak Ⅲ과 Ⅳ사이 : S기)로 구분하였다. (중략)

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김치 휘발성 향기성분의 분석 방법에 관한 연구 (A Study on the Analysis of Volatile Flavour of Kimchee)

  • 허우덕
    • 분석과학
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    • 제7권1호
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    • pp.125-132
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    • 1994
  • 김치의 향미는 당, 유기산, 유리아미노산 및 휘발성 향기성분들의 독특한 조합에 의한 것이며, 휘발성 향기성분은 함황화합물, 알코올류, 휘발성 유기산 및 터핀유 등 여러 가지 극성 및 비극성 성분들이 매우 복잡하게 혼합되어 있다. 김치 휘발성 향기성분의 분석조건을 검토한 결과 추출 분리에는 연속식 추출장치보다 dynamic headspace concentration법이 효율적이었고 GC에 의한 분석에는 5% phenyl methyl polysiloxane 컬럼에 의한 분리가 우수하였다.

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최대 병렬성 추출을 위한 자료 종속성 제거 알고리즘 (A Data Dependency Elimination Algorithm for Extracting Maximum Parallelism)

  • 송월봉;박두순
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제26권1호
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    • pp.139-139
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    • 1999
  • In most application programs, loops usually comprise most of the computation in a program and the most important source of parallelism. When the data dependency relation is uniformin terms of distance, several compile time parallelization methods were introduced. On the otherhand,when the data dependency relation is non-uniform in distance, the compile time extraction ofparallelism is much complicated. In this paper, a general method the extracting parallelism in nestedloops is presented. This algorithm can be applicable where the dependency relation is both uniform andnon-uniform in distance. According to execution repeatedly the statements in nested loops, thealgorithm which effectively removes these kind of data dependencies is developed in order to presentthe total parallelization of nested loops.

Analysis of the Optimal Frequency Band for a Ballistic Missile Defense Radar System

  • Nguyen, Dang-An;Cho, Byoungho;Seo, Chulhun;Park, Jeongho;Lee, Dong-Hui
    • Journal of electromagnetic engineering and science
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    • 제18권4호
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    • pp.231-241
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    • 2018
  • In this paper, we consider the anti-attack procedure of a ballistic missile defense system (BMDS) at different operating frequencies at its phased-array radar station. The interception performance is measured in terms of lateral divert (LD), which denotes the minimum acceleration amount available in an interceptor to compensate for prediction error for a successful intercept. Dependence of the frequency on estimation accuracy that leads directly to prediction error is taken into account, in terms of angular measurement noises. The estimation extraction is performed by means of an extended Kalman filter (EKF), considering two typical re-entry trajectories of a non-maneuvering ballistic missile (BM). The simulation results show better performance at higher frequency for both tracking and intercepting aspects.

A Novel Approach for Mining High-Utility Sequential Patterns in Sequence Databases

  • Ahmed, Chowdhury Farhan;Tanbeer, Syed Khairuzzaman;Jeong, Byeong-Soo
    • ETRI Journal
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    • 제32권5호
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    • pp.676-686
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    • 2010
  • Mining sequential patterns is an important research issue in data mining and knowledge discovery with broad applications. However, the existing sequential pattern mining approaches consider only binary frequency values of items in sequences and equal importance/significance values of distinct items. Therefore, they are not applicable to actually represent many real-world scenarios. In this paper, we propose a novel framework for mining high-utility sequential patterns for more real-life applicable information extraction from sequence databases with non-binary frequency values of items in sequences and different importance/significance values for distinct items. Moreover, for mining high-utility sequential patterns, we propose two new algorithms: UtilityLevel is a high-utility sequential pattern mining with a level-wise candidate generation approach, and UtilitySpan is a high-utility sequential pattern mining with a pattern growth approach. Extensive performance analyses show that our algorithms are very efficient and scalable for mining high-utility sequential patterns.

Inhibition of GLUT-1 Expressed in Xenopus laevis Oocytes by Acetoxyscirpendiol of Paecilomyces tenuipes

  • Lee, Dong-Hee;Kim, Ha-Won
    • Biomolecules & Therapeutics
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    • 제12권2호
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    • pp.74-78
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    • 2004
  • Paecilomyces tenuipes, a caterpillar fungus, contains many health-promoting ingredients. Recent reports indicate that consumption of P. tenuipes helps reducing blood sugar content for diabetes. Mechanism for reduction in the circulatory sugar content, however, still remains least understood. Methanolic extraction of P. tenuipes (MPT) was prepared and acetoxyscirpendiol (ASD) was subsequently purified limn MPT. Glucose transporter-1 (GLUT-1) was expressed in the Xenopus oocytes and the effect of MPT or ASD on the expressed GLUT-1 was analyzed according to the uptake of 2-dideoxy-D-glucose (2-DOG). MPT was shown to inhibit GLUT-1 activity significant1y compared to the non-treated control. In the presence of ASD and its derivatives, GLUT-1 activity was greatly inhibited in a dose-dependent manner. Among ASD and its derivatives, AS-1 showed most significant inhibition. Taken together, these results strongly indicate that ASD in P. tenuipes may serve as a functional substance in lowering blood sugar in the circulatory system. ASD and its derivatives can be utilized as inhibitors of GLUT-1.