• Title/Summary/Keyword: 경계 특성

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Phoneme Segmentation in Consideration of Speech feature in Korean Speech Recognition (한국어 음성인식에서 음성의 특성을 고려한 음소 경계 검출)

  • 서영완;송점동;이정현
    • Journal of Internet Computing and Services
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    • v.2 no.1
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    • pp.31-38
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    • 2001
  • Speech database built of phonemes is significant in the studies of speech recognition, speech synthesis and analysis, Phoneme, consist of voiced sounds and unvoiced ones, Though there are many feature differences in voiced and unvoiced sounds, the traditional algorithms for detecting the boundary between phonemes do not reflect on them and determine the boundary between phonemes by comparing parameters of current frame with those of previous frame in time domain, In this paper, we propose the assort algorithm, which is based on a block and reflecting upon the feature differences between voiced and unvoiced sounds for phoneme segmentation, The assort algorithm uses the distance measure based upon MFCC(Mel-Frequency Cepstrum Coefficient) as a comparing spectrum measure, and uses the energy, zero crossing rate, spectral energy ratio, the formant frequency to separate voiced sounds from unvoiced sounds, N, the result of out experiment, the proposed system showed about 79 percents precision subject to the 3 or 4 syllables isolated words, and improved about 8 percents in the precision over the existing phonemes segmentation system.

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An Analysis of A Circularly Polarized Conformal Microstrip Parch Antenna Using The Unsplit Anisotropic Perfectly Matched Layer(UAPML) (비분리형 비등방성 완전 정합층(UAPML)을 이용한 원형편파 등각 마이크로스트립 패치 안테나의 해석)

  • 박동희;김정기
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.9 no.6
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    • pp.813-823
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    • 1998
  • This paper analyzed the circularly polarized conformal microstrip patch antennal using the unsplit anisotropic perfectly matched layer(UAPML) method. Also, this paper are treated effectively the edge and corner parts on the 3 dimensional UAPML. Especially, to analyze microstrip patch antennas with the coaxial feeder line, it was applied to mixed the UAPML with Mur's first order absorbing boundary condition. Therefore this paper suggest the new the method to mix the UAPML with Mur's first order absorbing boundary condition. The results show the time responses of electromagnetics $E_z$ and $H\chi'$, input impedances of coaxial cable and radiation patterns of strip parchs on the single and the array patchs with central frequencies 1.575 GHz, 1.778 GHz and 4.8 GHz in L-band and C-band for mobile communication. The results of this paper shows that its results was compared the Mur's first order abc and mixed the second order dispersion boundary condition(SDBC) with the Mur's first order absorbing boundary condition. In accordance with, the validity of the method is confirmed.

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Shape Extraction of Near Target Using Opening Operator with Adaptive Structure Element in Infrared hnages (적응적 구조요소를 이용한 열림 연산자에 의한 적외선 영상표적 추출)

  • Kwon, Hyuk-Ju;Bae, Tae-Wuk;Kim, Byoung-Ik;Lee, Sung-Hak;Kim, Young-Choon;Ahn, Sang-Ho;Sohng, Kyu-Ik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.9C
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    • pp.546-554
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    • 2011
  • Near targets in the infrared (IR) images have the steady feature for inner region and the transient feature for the boundary region. Based on these features, this paper proposes a new method to extract the fine target shape of near targets in the IR images. First, we detect the boundary region of the candidate targets using the local variance weighted information entropy (WIE) of the original images. And then, a coarse target region can be estimated based on the labeling of the boundary region. For the coarse target region, we use the opening filter with an adaptive structure element to extract the fine target shape. The decision of the adaptive structure element size is optimized for the width information of target boundary by calculating the average WIE in the enlarged windows. The experimental results show that a proposed method has better extraction performance than the previous threshold algorithms.

Using One and One-half Bounded Dichotomous Choice Model to Measure the Economic Benefits of Urban Noise Reduction (1.5경계 양분선택형 모형을 이용한 도시소음 저감의 편익 추정)

  • Yoo, Seung-Hoon
    • Environmental and Resource Economics Review
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    • v.16 no.3
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    • pp.451-483
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    • 2007
  • Recently, the problem of noise has received much attention in the urban environment. This paper attempts to measure the economic benefits of urban noise reduction in the metropolitan area. To this end, the dichotomous choice contingent valuation method is applied. In particular, recently proposed one and one-half bound model that reduces the potential for response bias in the double bound model while maintaining much of its efficiency. We surveyed a randomly selected sample of 800 households in the metropolitan area and asked respondents questions in person-to-person interviews about how they would willing to pay for the noise reduction. Respondents overall accepted the contingent market and were willing to contribute a significant amount (997 to 1,778 won), on average, per household per month. This willingness varies according to individual characteristics such as concerns about noise, dwelling area, and income. The aggregate value of the noise reduction in the sampled metropolitan area amounts to approximately 79.26 to 141.35 billion won per year.

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Histogram-based road border line extractor for road extraction from satellite imagery (위성영상에서 도로 추출을 위한 히스토그램 기반 경계선 추출자)

  • Lee, Dong-Hoon;Kim, Jong-Hwa;Choi, Heung-Moon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.5
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    • pp.28-34
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    • 2007
  • A histogram-based road border line extractor is proposed for an efficient road extraction from the high-resolution satellite imagery. The road border lines are extracted from an edge strength map based on the directional histogram difference between the road and the non-road region. The straight and the curved roads are extracted hierarchically from the edge strength map of the original image and the segmented road cluster images, and the road network is constructed based on the connectivity. Unlike the conventional approaches based on the spectral similarity, the proposed road extraction method is more robust to noise because it extracts roads based on the histogram, and is able to extract both the location and the width of roads. In addition, the proposed method can extract roads with various spectral characteristics by identifying the road clusters automatically. Experimental results on IKONOS multi-spectral satellite imagery with high spatial resolution show that the proposed method can extract the straight and the curved roads as well as the accurate road border lines.

Heat Transfer Analysis of Bi-Material Problem with Interfacial Boundary Using Moving Least Squares Finite Difference Method (이동최소제곱 유한차분법을 이용한 계면경계를 갖는 이종재료의 열전달문제 해석)

  • Yoon, Young-Cheol;Kim, Do-Wan
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.20 no.6
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    • pp.779-787
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    • 2007
  • This paper presents a highly efficient moving least squares finite difference method (MLS FDM) for a heat transfer problem of bi-material with interfacial boundary. The MLS FDM directly discretizes governing differential equations based on a node set without a grid structure. In the method, difference equations are constructed by the Taylor polynomial expanded by moving least squares method. The wedge function is designed on the concept of hyperplane function and is embedded in the derivative approximation formula on the moving least squares sense. Thus interfacial singular behavior like normal derivative jump is naturally modeled and the merit of MLS FDM in fast derivative computation is assured. Numerical experiments for heat transfer problem of bi-material with different heat conductivities show that the developed method achieves high efficiency as well as good accuracy in interface problems.

MRF-based Iterative Class-Modification in Boundary (MRF 기반 반복적 경계지역내 분류수정)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.20 no.2
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    • pp.139-152
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    • 2004
  • This paper proposes to improve the results of image classification with spatial region growing segmentation by using an MRF-based classifier. The proposed approach is to re-classify the pixels in the boundary area, which have high probability of having classification error. The MRF-based classifier performs iteratively classification using the class parameters estimated from the region growing segmentation scheme. The proposed method has been evaluated using simulated data, and the experiment shows that it improve the classification results. But, conventional MRF-based techniques may yield incorrect results of classification for remotely-sensed images acquired over the ground area where has complicated types of land-use. A multistage MRF-based iterative class-modification in boundary is proposed to alleviate difficulty in classifying intricate land-cover. It has applied to remotely-sensed images collected on the Korean peninsula. The results show that the multistage scheme can produce a spatially smooth class-map with a more distinctive configuration of the classes and also preserve detailed features in the map.

Improvement of the flow characteristics for a $90^{\circ}$ turning duct by the nonaxisymmetric endwall and endwall boundary layer fence ($90^{\circ}$ 곡관에서의 비축대칭 끝벽과 끝벽 경계층 판을 이용한 유동특성 향상)

  • Cho, Jong-Jae;Kim, Sang-Jo;Seo, Jong-Chul;Kim, Kui-Soon;Jeong, Eun-Hwan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.406-413
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    • 2011
  • This paper presents the shape optimization of a nonaxisymmetric endwall and endwall boundary layer fence which improve the aerothermal environment of a gas turbine passage. The endwall and fence methods were used simultaneously. The turbine passage was simulated by a $90^{\circ}$ turning duct ($Re_D$=360,000). The main purpose of the present investigation was to focus on finding a nonaxisymmetric endwall and boundary layer fence with minimum total pressure loss in the passage and heat transfer coefficient on the endwall of the duct. An approximate optimization method was used for the investigation to secure the computational efficiency. Results indicated that a significant improvement in aerothermal environment can be achieved through the application of a nonaxisymmetric endwall and boundary layer fence.

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Detecting Reinforcing Bars under Multi Boundary Layers and Void Shapes in Concrete Using Simulation Analysis Model of Electromagnetic Wave Radar (전자파 레이더 모의해석에 의한 다층 경계 콘크리트 철근 및 내부 공동형상 검출 특성)

  • Park, Seok Kyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4A
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    • pp.809-816
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    • 2006
  • More than effectively judging the existence of reinforcing bars under multi boundary layers and void shapes in concrete, this study aims to develop the analysis algorithm of radar response on multi boundary layers in reinforced concrete and radar capable of estimation of the shape of specific voids in plain concrete. To detect or estimate reinforcing bars and void shapes in these conditions, the simulation analysis model of transmission and reflection wave of electromagnetic radar is used. This radar simulation model is carried out with reinforced or non reinforced concrete of various boundary conditions and void shapes. And, the output signals (images) of radar simulation results are calculated and represented by convolution method. As the results, it is clarified that this simulation analysis technique can be used to analyze radar response on multi boundary layers in reinforced concrete and void shapes in concrete.

Development of River Zone Automatic Determination Technique by Grid-based Design Flood Level Influence Area (계획홍수위 영향범위 자동결정을 통한 정밀 하천구역 설정기법 개발)

  • Lim, Dong Hwa;Lee, Choon Ho;Shin, Hee Jae;Sim, Gyoo Seong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.312-312
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    • 2022
  • 우리나라는 하천법 및 소하천정비법에 의거하여 하천기본계획 수립 또는 하천의 지정 및 변경고시 시 하천구역을 지정하고 있다. 하천구역은 일반적으로 제방부지 및 제방하심측 토지경계를 기준으로 지정하나, 제방이 존재하지 않는 무제부 구간의 경우 명확한 제방경계가 없는관계로 하천법 제 10조 3항에서 5항까지 별도의 기준을 통해 하천구역 지정을 권장하고 있는 실정이다. 하천구역 설정 시 기준으로 삼는 횡단측점 자료의 경우 그 특성상 하천의 종단방향으로 불연속적인 특징을 갖고 있어 평면상 정확한 경계의 파악이 어려우며, 도로·철도 등 선형시설경계를 하천구역으로 설정 시 편입용지의 보상기준이 모호하여 다량의 민원이 발생하고 있다. 본 연구에서는 하천정비 시 기본계획이 수립되어 각 횡단측점별 결정된 계획홍수위를 기반으로 인접 지형의 홍수위 영향범위를 자동으로 추출하여 하천구역을 정밀하게 결정할 수 있는 방법론을 정립하고자 한다. 첫째로, 하천중심선의 각 측점의 위치정보와 하천의 지형을 위상정보체계로 구성하여 DB를 구축하였다. 둘째로, 측선과 측선사이 절점에 계획홍수위를 선형보간하여 부여하고 이를 지형도의 최단거리에 위치한 지형의 격자표고와 비교해 침수여부를 판단한다. 셋째, 최단거리 지형격자가 침수로 판단될 시 인접한 8개 지형격자의 지형표고와 홍수위를 비교하여 반복적으로 위 과정 수행을 통해 계획홍수위 기반 침수범위를 추출한다. 마지막으로, 이를 수치지형도에 중첩시켜 최종 정밀 하천구역을 결정할 수 있다. 이를 이용하여 산정된 정밀한 하천구역 경계설정을 통해 하천 내사유지 편입을 최소화함과 동시에 명확한 하천구역 구획기준을 정립하여 토지소유주와 담당부처 간 논의 시 기반자료로 활용될 수 있고, 하천구역의 신속하고 정확한 구역설정을 통해 하천인근의 토지이용 고도화 및 효율적인 이용이 가능할 것으로 기대된다.

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