• ETRI Journal
• /
• 제38권1호
• /
• pp.141-148
• /
• 2016

This paper proposes a method to estimate directly the incoherent scattered intensity and radar cross section (RCS) from the effective permittivity of a random media. The proposed method is derived from the original concept of incoherent scattering. The incoherent scattered field is expressed as a simple formula. Therefore, to reduce computation time, the proposed method can estimate the incoherent scattered intensity and RCS of a random media. To verify the potential of the proposed method for the desired applications, we conducted a Monte-Carlo analysis using the method of moments; we characterized the accuracy of the proposed method using the normalized mean square error (NMSE). In addition, several medium parameters, such as the density of scatterers and analysis volume, were studied to understand their effect on the scattering characteristics of a random media. The results of the Monte-Carlo analysis show good agreement with those of the proposed method, and the NMSE values of the proposed method and Monte-Carlo analysis are relatively small at less than 0.05.

• 한국물환경학회지
• /
• 제27권1호
• /
• pp.9-18
• /
• 2011

In this study the optimal volume for non-point source control retention is estimated considering spatio-temporal variation of land surface. The 3-parameter mixed exponential probability density function is used to represent the statistical properties of rainfall events, and NRCS-CN method is applied as rainfall-runoff transformation. The catchment drainage area is divided into individual $30m{\times}30m$ cells, and runoff curve number is estimated at each cell. Using the derived probability density function theory, the stormwater probability density function at each cell is derived from the rainfall probability density function and NRCS-CN rainfall-runoff transformation. Considering the antecedent soil moisture condition at each cell and the spatial variation of CN value at the whole catchment drainage area, the ensemble stormwater capture curve is established to estimate the optimal volume for an non-point source control retention. The comparison between spatio-temporally varied land surface and constant land surface is presented as a case study for a urban drainage area.

• Journal of Positioning, Navigation, and Timing
• /
• 제9권4호
• /
• pp.319-325
• /
• 2020

In order to propose new satellite navigation signals, it is essential to analyze the increased level of interference effect that the existing signals suffer. In this paper, a method for estimating the power density of the interference signals on GPS signals is proposed before and after the additional transmission of the KPS signals in the L1, L2 and L5 bands. For estimation, we assume the number of visible satellites observed over the Korean peninsular and the minimum received power of the satellite navigation signals. The comparison of the estimated values shows that the power density of the interfering signal increases by up to 1.37 dB due to the introduction of KPS, but this leads to an increase in interference plus noise power density below 0.47 dB.

• 천문학회보
• /
• 제43권1호
• /
• pp.40.3-40.3
• /
• 2018

We present results from our two experiments of using machine learning algorithms in processing and analyzing the KMTNet imaging data. First, density estimation and clustering methods find meaningful structures in the metric space of imaging quality measurements described by photometric quantities. Second, we also develop a method to separate out light curves of reliable microlensing event candidates from spurious events, estimating reliability scores of the candidates.

• 한국통신학회논문지
• /
• 제22권3호
• /
• pp.515-523
• /
• 1997

A high resolution algorithm is presented for resolving multiple coherent spread spectrum signals that are incident on an equispaced linear array. Unlike the conventional noise-eigenvector based methods, this algorithm makes use of the signal eigenvectors of the array spectral density matrix that are associates with eigenvalues that are larger than the sensor noise level. Simulation results are shown to demonstate the high performance of the proposed approach in comparison with MUSIC in which coherent signal subspace method (CSM) is employed.

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
• /
• pp.439-442
• /
• 2003

The test method of ASTM E 756 and JIS G 0602 to estimate vibration-damping properties is presented. Measurement method depending on specimen support, exciting method and calculation method for loss factor is used. Half-power bandwidth method and vibration decay method is used in the calculation method for loss factor, and Young's modulus is decided by geometric character and density for specimen and resonance frequency. Vibration measurement sensor is compared by using non-contact displacement detector, velocity detector and accelerometer. The cause of measurement error is also presented.

• 한국컴퓨터정보학회논문지
• /
• 제27권12호
• /
• pp.161-169
• /
• 2022

최근 들어 모바일 디바이스와 GPS(Global Positioning System)의 발전으로 다양한 위치 기반 서비스(Location-Based Servises, LBS)를 활용할 수 있게 되었다. LBS 사용자는 서비스를 이용하기 위해 자신의 위치 정보를 서비스 제공자에게 노출한다. 이 과정에서 개인의 민감한 정보를 침해할 가능성이 있으므로 사용자의 위치 데이터를 변조하여 프라이버시를 보존할 수 있는 Geo-indistinguishability(Geo-Ind) 기법이 많이 활용되고 있다. 그러나 Geo-Ind 기법으로 인하여 사용자로부터 변조된 데이터를 수집하는 경우, LBS 제공자는 사용자 분포에 대한 정확한 정보를 얻을 수 없다. 그러므로 본 논문에서는 Geo-Ind 기법을 이용하여 사용자로부터 수집한 변조된 위치 데이터로부터 사용자 분포에 대한 정보를 정확하게 계산하기 위한 방법을 제안한다. 특히, Expectation-Maximization(EM) 기법을 이용하여 변조된 데이터로부터 사용자의 위치 분포를 정확하게 예측하기 위한 기법을 제안한다. 또한 실제 데이터를 이용해 제안 기법의 우수성을 입증한다.

• 한국물환경학회지
• /
• 제34권2호
• /
• pp.210-215
• /
• 2018

It is difficult to count colonial cyanobacteria Microcystis cells since the thickness of colonies is constrained by amorphous mucilage, making it impossible to estimate the number of cells. Disaggregation of Microcystis colonies into single cell is needed to improve the accuracy and precision of cell density estimation of naturally collected samples. Uultrasonic treatment method is commonly used owing to the simplicity and immediacy of the procedure. However, amplitude, frequency, and duration of ultrasonic treatment also cause cell loss during the experiment. Optimal ultrasonic treatment has not been standardized yet. Therefore, the objective of this study was to investigate optimal ultrasonic treatment by analyzing cell density and colony numbers. We collected colonial Microcystis from Changnyeong-Haman weir area in Nakdong River during harmful algal boom period from September to October in 2017. Ultrasonic treatment method was applied to disrupt colonies into single cells to enumerate cell density. Among treatment conditions, results from continuously treated for 100 seconds were found to be the optimum to reduce colonies to a suspension of single cell without cell losses under high and low density of Microcystis cells. Lugol iodine fixed cells followed by sonication showed less negative impact of cell damage within the optimal treatment time (100 seconds). Furthermore, disaggregated cells treated by sonication enables microscopic observation more easily since gas vacuoles were collapsed to facilitate sedimentation of cells under the counting chamber for quantitative enumeration of buoyant Microcystis cells.

• 대한전자공학회논문지SP
• /
• 제45권6호
• /
• pp.57-63
• /
• 2008

본 논문에서는 웨이블릿 영역에서 이변수 가우스 확률밀도함수를 이용하여 잡음을 효과적으로 제거하는 방법을 제안한다. 본 논문의 방법은 웨이블릿 영역의 스케일간의 관계에 대한 통계적 모델을 이변수 가우스 확률분포로 설정하고, 이에 대한 베이즈 추정법을 통하여 잡음 제거를 수행한다. 베이즈 추정법을 위한 통계 파라메터는 $H{\ddot{o}}lder$ 부등식을 이용하여 근사적으로 추정한다. 실험 결과를 통하여 본 논문의 방법이 기존의 이변수 사전 확률모델을 이용한 잡음 제거 방법에 비하여 우수한 결과를 보여 준다는 것을 알 수 있다.

• 한국소음진동공학회논문집
• /
• 제17권6호
• /
• pp.491-497
• /
• 2007

Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.