• 한국소음진동공학회논문집
• /
• 제17권8호
• /
• pp.693-700
• /
• 2007

We can predict spatial acoustic pressure distribution on the plane of interest by using acoustic holography. However, the information embedded in the distribution plot is usually much more than what we need: for example, source locations and their overall propagation pattern. One possible candidate to solve the problem is complex envelope analysis. Complex envelope analysis extracts slowly-varying envelope signal from a band signal. We have attempted to extend this method to space domain so that we can have spatial information that we need. We have to modulate two dimensional data for obtaining spatial envelope. Although spatial modulation basically follows the same concept that is used in time domain, the algorithm for the spatial modulation turns out to be different from temporal modulation. We briefly describe temporal complex envelope analysis and extend it to spatial envelope of 2-D acoustic field by introducing geometric transformation. In the end, the results of applying the spatial envelope to the holography are envisaged and verified.

• 한국공간구조학회논문집
• /
• 제7권4호
• /
• pp.55-61
• /
• 2007

근래에 이르러 컴퓨터의 발전과 더불어 유한요소법이 가장 많이 사용되고 있는 수치해석수법이 되어 왔다. 그러나 유한요소법은 각각의 구조물을 해석하는 데는 탁월한 능력을 발휘하지만 구조물을 형성하는 파라메타에 대한 영향 또는 경향을 파악하는 것에 대해서는 갤러킨법이 더욱 유효하다. 본 논문은 구조물을 형성하는 파라메타에 대한 영향 경향을 파악하는 것에 유리한 갤러킨법(Galerkin's Method)을 이용하여 고유치 해석을 수행하고 아치를 형성하는 파라메타가 고유진동응답에 미치는 영향을 고찰한다.

• 대한원격탐사학회지
• /
• 제37권1호
• /
• pp.161-167
• /
• 2021

This paper presents the method to quantitatively evaluate the uncertainty of the semi-empirical Bidirectional Reflectance Distribution Function (BRDF) model for Himawari-8/AHI. The uncertainty of BRDF modeling was affected by various issues such as assumption of model and number of observations, thus, it is difficult that evaluating the performance of BRDF modeling using simple uncertainty equations. Therefore, in this paper, Monte-Carlo method, which is most dependable method to analyze dynamic complex systems through iterative simulation, was used. The 1,000 input datasets for analyzing the uncertainty of BRDF modeling were generated using the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) Radiative Transfer Model (RTM) simulation with MODerate Resolution Imaging Spectroradiometer (MODIS) BRDF product. Then, we randomly selected data according to the number of observations from 4 to 35 in the input dataset and performed BRDF modeling using them. Finally, the uncertainty was calculated by comparing reproduced surface reflectance through the BRDF model and simulated surface reflectance using 6S RTM and expressed as bias and root-mean-square-error (RMSE). The bias was negative for all observations and channels, but was very small within 0.01. RMSE showed a tendency to decrease as the number of observations increased, and showed a stable value within 0.05 in all channels. In addition, our results show that when the viewing zenith angle is 40° or more, the RMSE tends to increase slightly. This information can be utilized in the uncertainty analysis of subsequently retrieved geophysical variables.

• 한국측량학회:학술대회논문집
• /
• 한국측량학회 2004년도 춘계학술발표회논문집
• /
• pp.527-533
• /
• 2004

This study has based on RTKGPS and DGPS and Digital Video Camera to 3-dimensional position data of road, as a Road Spatial Information. Economic efficiency analysis was applied to road spatial information system built up by four different methods such as conventional surveying, RTK GPS, DGPS, and Digital Video Camera. As a result of analysis, it was shown conventional surveying 100%, it was shown that about 64% in RTKGPS, it was shown that about 63% in DGPS, it was shown that about 37% in Digital Video Camera cost-saving.

• Computers and Concrete
• /
• 제15권2호
• /
• pp.231-257
• /
• 2015

This paper discusses the spatial variability of the carbonation depth caused by the mesoscopic structure of the concrete and the influence of the spatial variability on the thickness of the concrete cover. To conduct the research, a method to generate the random aggregate structure (RAS) based on polygonal particles and a simplified numerical model of the concrete carbonation at meso-scale are firstly developed. Based on the method and model, the effect of the aggregate properties including shape, content and gradation on the spatial variability of the carbonation depth is comprehensively studied. The results show that a larger degree of the spatial variability will be obtained by using (1) the aggregates with a larger aspect ratio; (2) a larger aggregate content; (3) the gradation which has more large particles. The proper sample size and model size used in the analysis are also studied. Finally, a case study is conducted to demonstrate the influence of the spatial variability of the carbonation depth on the proper thickness of the concrete cover. The research in this paper not only provides suggestions on how to decrease the spatial variability, but also proposes the method to consider the effect of the spatial variability in designing the thickness of the concrete cover.

• 한국농공학회논문집
• /
• 제54권3호
• /
• pp.55-63
• /
• 2012

Soil properties are not random values which is represented by mean and standard deviation but show spatial correlation. Especially, soils are highly variable in their properties and rarely homogeneous. Thus, the accuracy and reliability of probabilistic analysis results is decreased when using only one random variable as design parameter. In this paper, to consider spatial variability of soil property, one-dimensional random fields of coefficient of consolidation ($C_v$) were generated based on a Karhunen-Loeve expansion. A Latin hypercube Monte Calro simulation coupled with finite difference method for Terzaghi's one dimensional consolidation theory was then used to probabilistic analysis. The results show that the failure probability is smaller when consider spatial variability of $C_v$ than not considered and the failure probability increased when the autocorrelation distance increased. Thus, the uncertainty of soil can be overestimated when spatial variability of soil property is not considered, and therefore, to perform a more accurate probabilistic analysis, spatial variability of soil property needed to be considered.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2006년도 춘계 학술발표회 논문집
• /
• pp.1046-1053
• /
• 2006

In the large scale recent reclaiming works performed within the wide spatial boundary, evaluation of long-term consolidation settlement and residual settlement of the whole construction area is sometimes made with the results of the limited ground investigation and measurement. Then the reliability of evaluation has limitations due to the spatial uncertainty. Additionally, in case of large scale deep excavation works such as urban subway construction, there are a lot of hazardous elements to threaten the safety of underground pipes or adjacent structures. Therefore it is necessary to introduce a damage prediction system of adjacent structures and others. For the more accurate analysis of monitoring information in the wide spatial boundary works and large scale urban deep excavations, it is necessary to perform statistical and spatial analysis considering the geographical spatial effect of ground and monitoring information in stead of using diagrammatization method based on a time-series data expression that is traditionally used. And also it is necessary that enormous ground information and measurement data, digital maps are accumulated in a database, and they are controlled in a integrating system. On the abovementioned point of view, we developed Geomonitor 2.0, an Internet based real time monitoring program with a new concept by adding GIS and geo-statistical analysis method to the existing real time integrated measurement system that is already developed and under useful use. The new program enables the spatial analysis and database of monitoring data and ground information, and helps the construction- related persons make a quick and accurate decision for the economical and safe construction.

• 지적과 국토정보
• /
• 제50권2호
• /
• pp.101-115
• /
• 2020

자율주행 분야 글로벌 동향 파악 및 공간정보 서비스 활성화 방안 도출을 위해 빅데이터 분석방법을 활용하였다. 사용된 빅데이터는 뉴스기사와 특허문헌을 상호 연계하여 활용하고, 뉴스 기사를 통한 동향 분석, 특허문헌 정보를 활용한 기술 분석이 진행 되었다. 본 논문에서는 자율주행에 대한 주요 뉴스에서 토픽모델을 기반으로 한 LDA(Latent Dirichlet Allocation)를 활용하여 빅데이터화 하고 주요 단어를 추출하였다. 특허정보의 주요 단어를 기반으로 적용된 워드넷(WordNet)을 활용하여 공간정보와 연계성 분석, 글로벌 기술 동향 분석을 실시하고 공간정보 분야의 동향 분석 및 예측을 실시하였다. 본 논문에서는 주요뉴스와 특허문헌 정보를 기반으로 한 빅데이터 분석방법으로 자율주행 분야와 공간정보와의 연계성 분석을 통하여 최신 동향과 미래를 예측하는 방법을 제시한다. 빅데이터 분석으로 도출된 자율주행 분야 공간정보의 글로벌 동향은 플랫폼 얼라이언스, 비지니스 파트너쉽, 기업 인수합병, 합작회사 설립, 표준화 및 기술개발로 도출되었다.

• 한국지반공학회논문집
• /
• 제27권10호
• /
• pp.93-104
• /
• 2011

본 연구에서는 댐이나 보와 같은 수리구조물이 설치된 포화 기초지반에서의 구속흐름(confined flow)에 대하여 확률론적 침투해석을 수행하였다. 침투해석은 유한요소법을 이용하였으며 투수계수의 수평방향과 연직방향의 공간적 상관성이 상이한 비등방성을 고려하였다. 지정된 입력 확률분포함수와 자기상관함수(autocorrelation function)를 따르는 2차원의 랜덤필드를 생성하기 위하여 Karhunen-Lo$\grave{e}$ve 전개법을 사용하였으며 생성된 랜덤필드를 이용하여 확률론적 응답을 얻기 위해 Monte Carlo 시뮬레이션을 수행하였다. 이로부터 투수계수의 불확실성과 공간적 변동성이 수리구조물과 기초의 침투로 인한 안정성과 관련된 기초를 통한 유량, 구조물 하부에 작용하는 양압력, 하류 유출면에서의 유출동수경사에 미치는 영향을 연구하였다. 해석결과로부터 투수계수의 확률분포와 자기상관 구조를 만족하는 랜덤필드로 고려하여 공간적 변동을 고려하는 방법은 결정론적 해석이나 투수계수를 하나의 랜덤변수로 고려하는 경우에 나타나지 않는 다양한 지반의 침투거동을 효과적으로 고려할 수 있음을 보여준다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2004년도 학술발표회
• /
• pp.691-695
• /
• 2004

In recent years, mary studies for efact estimation of groudwater recharge has been performed. They can be categorized into three groups : analytical method by means of groundwater recession curve, water budget analysis based on watershed, and the method using groundwater model. Since groundwater recharge rate shows the spatial-temporal variability due to hydrogeological heterogeneity, existing studies have various limits to deal with these characteristics. The method of estimating daily recharge rate with spatial-temporal variation based on rainfall-runoff model is suggested in this study for this purpose. This method is expected to enhance existing indirect method by means of reflecting climatic conditions, land use and hydrogeological heterogeneity.