• 제목/요약/키워드: Spatial range

검색결과 1,387건 처리시간 0.029초

Interference of Acoustic Signals Due to Internal Waves in Shallow Water

  • Na Young-Nam
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1999년도 학술발표대회 논문집 제18권 1호
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    • pp.189-197
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    • 1999
  • To investigate internal waves (IW) effect on acoustic wave propagation, m analysis is conducted on mode travel time and model simulation. Based on the thermistor string data, it can be shown that the thermocline depth variation may cause travel time difference as much as 4-10 ms between mode 1 and 2 over range 10 km. This travel time difference causes interference among modes and thus fluctuation from range-independent stratified ocean structure. In real situations, however, there exist additionally spatial variation of IW. Model simulation with all modes and simple IW shows clear responses of acoustic signals to IW, amplitude and phase fluctuation.

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내력밀도법을 이용한 텐세그러티 구조물의 안정화 기법에 관한 연구 (A Study on the Stabilization Process of Tensegrity System using the Force Density Method)

  • 서삼열;고광웅
    • 한국공간구조학회논문집
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    • 제3권4호
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    • pp.77-84
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    • 2003
  • Tensegrity systems are stable structures which are reticulated spatial structures composed of compressive straight members, struts and cables. But there are some difficulties concerning surface stability, surface formation and construction method. One of the ways to solve this problem reasonably is combination of tesile members and rigid members. This structure is a type of flexible strutural system which is unstable initially because the cable material has little initial rigidity. Therefore tensegrity structure need to be introduced to the Initial stress for the self-equilibrated system having stable state. The rigidification of tensegrity systems is related to selfstress states which can be achieved only when geometrical and mechanical requirements are simultaneously satisfied. In this paper, for the stabilization of tesnsegrity structure it is proposed the modified self-equilibrated equation and the range of the various geometrical parameter about unit system. And we generate the model of double layed single curvature arch using the new squew quadruplex unit system.

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누적영향평가를 위한 평가범위 산정에 대한 연구 - 생활환경분야를 중심으로 - (A Study on Range of Environmental Impact Assessment for Cumulative Effect Assessement - A Review on Living Environment Sector -)

  • 김영하;이온길;이영수
    • 환경영향평가
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    • 제17권5호
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    • pp.299-309
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    • 2008
  • Cumulative effects can be defined as impacts on environment which results from incremental impacts of a proposed project, which covers other past, present, and reasonably foreseeable future actions. The necessity of Cumulative Effect Assessment is that, when there are several projects near the project area, environmental effects of individual project can be larger or smaller than those of individual project without having projects nearby because of synergy, ascending and descending effects. This study was intended to help Environmental Impact Assessment practitioners identify spatial and temporal boundaries during the scoping stage. To do this, literature review of domestic and foreign legislations, guidelines, textbooks and papers related to Environmental Impact Assessment and Cumulative Effect Assessment was accomplished. This study suggests that continuous research be needed in order to identify spatial boundaries for other assessment fields and to develop methodologies for cumulative effect assessment.

초음파 도플러 시스템에서 2차 샘플링을 이용한 공간축상의 평균 방법 (A Spatial Average Method Using 2nd Order Sampling in Ultrasonic Doppler System)

  • 백광렬
    • 대한의용생체공학회:의공학회지
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    • 제16권3호
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    • pp.279-288
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    • 1995
  • Ultrasonic Doppler systems for the purpose of estimating blood flow velocity, blood flow volume, and flow imaging are commonly used due to advantages of non-invasive and real time observation. Specially, the technical developments of color flow mapping (2-D Doppler) systems have made a relatively rapid progress. However, the 2-D Doppler systems have several problems, such as the range ambiguity, low signal to noise ratio, and slow frame rate. The slow frame rate problem is resolved by using the spatial average which is a method to acquire more data samples for mean frequency estimation. In this paper, spatial average method using the 2nd order sampling instead of quadrature sampling is proposed. The experimental results show that the proposed methods have good performance and easy application to the color flow mapping system.

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$ZnS_{1-x}Te_x$ 삼원 화합물 반도체의 라만 산란 특성 (Characteristics of Raman scattering spectroscopy for $ZnS_{1-x}Te_x$ alloy semi- conductor)

    • 한국결정성장학회지
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    • 제12권5호
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    • pp.223-228
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    • 2002
  • $_ZnS{1-x}Te_x$삼원 화합물의 전 영역에서 상온 라만 스펙트럼을 연구하였다. 격자진동 모드가 두 방식의 거동을 보이고, Te 조성비 x에 따라 라만 선 모양의 비대칭성과 넓어짐이 변하였다. 선 모양의 비대칭성 넓어짐은 공간적인 상호관계(spatial correlation)모형을 이용하여 설명하였다.

Spatial Selectivity Estimation for Intersection region Information Using Cumulative Density Histogram

  • Kim byung Cheol;Moon Kyung Do;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.721-725
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    • 2004
  • Multiple-count problem is occurred when rectangle objects span across several buckets. The Cumulative Density (CD) histogram is a technique which solves multiple-count problem by keeping four sub-histograms corresponding to the four points of rectangle. Although it provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors may be occurred when it is applied to real applications. In this paper, we proposed selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models: (1) probabilistic model which considers the query window area ratio, (2) probabilistic model which considers intersection area between a given grid and objects. In order to evaluate the proposed methods, we experimented with real dataset and experimental results showed that the proposed technique was superior to the existing selectivity estimation techniques. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

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지구통계학적 기법을 이용한 설계호우깊이 공간분석 (Spatial analysis of Design storm depth using Geostatistical)

  • 안상진;이종형;윤석환;곽현구
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.1047-1051
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    • 2004
  • The design storm is a crucial element in urban drainage design and hydrological modeling. The total rainfall depth of a design storm is usually estimated by hydrological frequency analysis using historic rainfall records. The different geostatistical approaches (ordinary kriging, universal kriging) have been used as estimators and their results are compared and discussed. Variogram parameters, the sill, nugget effect and influence range, are analysis. Kriging method was applied for developing contour maps of design storm depths In bocheong stream basin. Effect to utilize weather radar data and grid-based basin model on the spatial variation characteristics of storm requires further study.

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공간보간기법에 의한 서울시 미세먼지(PM10)의 분포 분석 (The Distribution Analysis of PM10 in Seoul Using Spatial Interpolation Methods)

  • 조홍래;정종철
    • 환경영향평가
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    • 제18권1호
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    • pp.31-39
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    • 2009
  • A lot of data which are used in environment analysis of air pollution have characteristics that are distributed continuously in space. In this point, the collected data value such as precipitation, temperature, altitude, pollution density, PM10 have spatial aspect. When geostatistical data analysis are needed, acquisition of the value in every point is the best way, however, it is impossible because of the costs and time. Therefore, it is necessary to estimate the unknown values at unsampled locations based on observations. In this study, spatial interpolation method such as local trend surface model, IDW(inverse distance weighted), RBF(radial basis function), Kriging were applied to PM10 annual average concentration of Seoul in 2005 and the accuracy was evaluated. For evaluation of interpolation accuracy, range of estimated value, RMSE, average error were analyzed with observation data. The Kriging and RBF methods had the higher accuracy than others.

박물관 대공간(Major Space)의 동선구조 형식과 특성에 관한 연구 (A Study on the Type and Characteristics of the Circulation in Major Space of Museums)

  • 박세민;정성욱
    • 한국실내디자인학회:학술대회논문집
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    • 한국실내디자인학회 2008년도 춘계학술발표대회 논문집
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    • pp.209-213
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    • 2008
  • This study is intended to propose a plan index that can be used in the early stage of a museum design based on theoretical review of a major space of a museum including its spatial division, functions and roles. The scope of the study includes functions and roles of circulation in a major space based on precedent studies. The spatial range is limited to a major space among exhibition spaces in a museum. This study analyzes overseas 14 museums. In terms of methodology, the study analyzes circulation in a descriptive way only In the focusing on floor plan and section composition. The results of this study are as follows. First, vertical elements should be critically considered in a circulation plan for functional performance of dimensional circulation distribution in a major space. Second, a plan by location of vertical and horizontal moving elements related to a major space affects a circulation relation more than a connection type between a major space and an exhibition area.

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비행데이터를 활용한 머신러닝 기반 비행착각 탐지 알고리즘 성능 분석 (Performance Analysis of Machine Learning Based Spatial Disorientation Detection Algorithm Using Flight Data)

  • Yim Se-Hoon;Park Chul;Cho Young jin
    • 한국항행학회논문지
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    • 제27권4호
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    • pp.391-395
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    • 2023
  • Helicopter accidents due to spatial disorientation in low visibility conditions continue to persist as a major issue. These incidents often stem from human error, typically induced by stress, and frequently result in fatal outcomes. This study employs machine learning to analyze flight data and evaluate the efficacy of a flight illusion detection algorithm, laying groundwork for further research. This study collected flight data from approximately 20 pilots using a simulated flight training device to construct a range of flight scenarios. These scenarios included three stages of flight: ascending, level, and descent, and were further categorized into good visibility conditions and 0-mile visibility conditions. The aim was to investigate the occurrence of flight illusions under these conditions. From the extracted data, we obtained a total of 54,000 time-series data points, sampled five times per second. These were then analyzed using a machine learning approach.