Earticle

This paper presents the performance analysis of two-time-slot two-way relaying while considering dual antennas at the relay and imperfect channel state information (CSI) at the receivers. We consider the Max-Min antenna selection scheme at the relay. For this scheme, we show the analytical symbol error probability in the presence of imperfect CSI and observe a close match between the analytical and numerical results. We also find that Max-Min antenna selection scheme is robust against CSI error and performs better than the maximum ratio transmission (MRT) based beamforming scheme in the presence of CSI error.

For large facilities having several floors or containers, floor response spectra, FRS, other than ground response spectra need to be developed. However, FRS can have error especially when components are not small in their masses. In this paper, error is estimated in order to specify applicability of the FRS by deriving and comparing with analytic results for two degrees of freedom system. An identity regarding modal vectors and participation factors in the modal method is used to measure the FRS error. It is found that FRS is sufficiently accurate if the mass of a component is one hundredth or less than that of the floor. On the contrary, it is shown that fixed frequency of a component does not affect the FRS accuracy considerably. A compact power plant system consists of two main assemblies with spring mounts is applied as an example for the derivation of the FRS and several aspects associated with its modeling and calculation are discussed.

Measurement error is one of main source of error in survey. It is generally defined as the difference between an observed value and an underlying true value. An observed value with error may be expressed as a function of the true value plus error term. In some cases, the measurement error variance may be also a function of the unknown true value. The error variance function can be rewritten as a function of true value multiplied by a scale factor. This research explore methods for estimation of the measurement error variance based on the data from complex sampling design. We consider the case in which the variance of mesurement error is a linear function of unknown true value, and the error variance scale factor is small. We applied our results to the U.S. Third National Health and Nutrition Examination Survey (the U.S. NHANES Ⅲ) data for empirical analyses, which has replicate measurements for relatively small subset of initial respondents's group.

최근 기후변화로 인하여 발생하는 기상재해 및 위험기상 현상의 대비를 위하여 조밀한 시공간적 해상도를 갖는 레이더 강우가 활용되고 있지만 널리 사용되는 Marshall-Palmer의 Z-R 관계식으로 추정된 레이더 강우는 과소추정의 문제점이 있다. 본 연구는 이러한 문제점을 해결하기 위하여 분위회귀 분석기법을 통한 레이더 강우자료 편의보정 기법과 Copula 함수를 연계한 강우자료 확충기법을 개발하였다. 본 연구에서 개발된 모형을 통하여 편의가 보정된 시계열 레이더 강우자료 효율을 통계적으로 분석한 결과 우수한 모형성능을 확인하였으며 Copula 기법을 이용하여 지상강우 및 레이더 강우자료를 확충한 결과 기존의 강우특성을 현실적으로 재현하는 것을 확인하였다. Copula 기법을 통한 강우자료 확충기법은 레이더 강우의 오차분포를 평가하는데 유용하게 활용될 것으로 판단된다.

Information on radar rainfall with high spatio-temporal resolution over large areas has been used to mitigate climate-related disasters such as flash floods. On the other hand, a well-known problem associated with the radar rainfall using the Marshall-Palmer relationship is the underestimation. In this study, we develop a new bias correction scheme based on the quantile regression method. This study employed a bivariate copula function method for the joint simulation between radar and ground gauge rainfall data to better characterize the error distribution. The proposed quantile regression based bias corrected rainfall showed a good agreement with that of observed. Moreover, the results of our case studies suggest that the copula function approach was useful to functionalize the error distribution of radar rainfall in an effective way.

사고 등으로 인해 하천에 순간적으로 주입되는 오염물질의 2차원 이송-확산을 모의하기 위하여 SUPG법에 의한 2차원 유한요소 모형을 개발하고 주입된 질량과 모의 질량간의 오차를 산정하였다. 지배방정식으로부터 질량 오차 산정식을 유도하고 이를 간단한 예제에 적용하였다. 적용 예제로는 단순 직선수로에서 선원을 통한 질량주입과 일방향의 등질 유속장을 가지는 2차원 공간에서 점원을 통한 질량주입 문제를 가정하였으며, 기존의 Galerkin법과의 비교를 위하여 두가지 수치기법에 대한 모의 검증을 실시하였다. 검증결과 기존의 Galerkin법에 의한 모의 결과에 비하여 SUPG법을 통한 수치모형의 구성이 모의의 정확성뿐만 아니라 주입 질량의 보존에 있어서도 보다 정확한 방법임을 확인하였다.

2D finite element model for analysis of transport of accidentally released pollutants in the flow was developed by SUPG method, and the mass balance of this model was checked though two example problems: line source and point source problem in the straight channel and unidirectional 2D flow field, respectively. All the test cases were simulated with both SUPG and conventional Galerkin method to compare the accuraccy of the numerical mass balance. Test results show that the model with SUPG can adequately conserve the released mass though simulation than the model using Galerkin method, so the developed model verified to be appropriate to solve this accidental mass release problem.

이 논문에서는 캔틸레버 공법으로 시공되는 대칭형 강 사장교의 폐합해석법을 제안한다. 폐합시공 전에는 폐합단면 양쪽에서 두개의 독립적인 구조계가 성립되기 때문에 폐합단면에 적절한 단면력을 가해 주어야만 폐합단면에서 수직 처짐과 회전각에 대한 적합조건을 만족시킬 수 있다. 그러나 실제 시공에서는 폐합단면에 단면력을 재하하는 것이 거의 불가능하기 때문에 시공 중에 실제로 교량에 재하할 수 있는 외력에 의하여 적합조건을 만족시켜야 한다. 이 논문에서는 몇 개 케이블의 무응력 길이와 데릭 크레인의 인양력을 조정하여 적합조건을 만족시킬 수 있는 해석 방법을 제안한다. 적합조건식은 케이블의 무응력 길이와 크레인 인양력에 대하여 비선형이므로 Newton-Raphson 방법에 의하여 반복적으로 푼다. 케이블 부재는 탄성현수선 요소를 사용하여 모델링하였고, 주탑과 거더는 일반적인 3차원 뼈대요소를 사용하여 이산화하였다. 교량의 케이블 무응력 길이와 인양력에 대한 변위 민감도는 평형방정식을 직접 미분하여 계산하였다. 주어진 신뢰도 구간에서 시공 오차를 예측하기 위한 몬테-카를로 모사법을 제안하였다. 제안된 방법을 제 2 진도대교의 폐합시공에 적용하여 그 타당성과 효율성을 검증하였다.

This paper presents the closing analysis of a symmetric steel cable-stayed bridge erected by a free cantilever method. Two independent structural systems are formed before the closing procedure of a bridge is performed, and thus the compatibility conditions for vertical displacement and rotational angle are not satisfied at the closing section without the application of proper sectional forces. Since, however, it is usually impossible to apply sectional forces at the closing section, the compatibility conditions should be satisfied by proper external forces that can be actually applicable to a bridge. Unstrained lengths of selected cables and the pull-up force of a derrick crane are adjusted to satisfy nonlinear compatibility conditions, which are solved iteratively by the Newton-Raphson method. Cable members are modeled by the elastic catenary cable elements, and towers and main girders are discretized by linear 3-D frame elements. The sensitivities of displacement with respect to the unstrained lengths of selected cables and the pull-up force of the derrick crane are evaluated by the direct differentiation of the equilibrium equation. A Monte-Carlo simulation approach is proposed to estimate expected construction errors for a given confidence level. The proposed method is applied to the second Jindo Grand Bridge to demonstrate its validity and effectiveness.

면적평균강우량의 산정은 가용 수자원의 정확한 양을 파악하고 강우-유출해석에 필수적인 입력자료 이기 때문에 매우 중요하다. 이와 같은 면적평균강우량의 정확한 산정을 위한 필수적인 조건은 강우 관측망의 균일한 공간적 분포이다. 본 연구에서는 보다 향상된 유역 면적평균강우량 산정을 위한 강 우관측망의 공간분포 평가방법론을 제시하고, 이를 한강 및금강 유역에 적용하였다. 강우관측소의 공간적 분포 특성은 최근린 지수(nearest neighbor index)를 이용하여 정량화하였다. 유역별 강우관측소의 공간적 분포가 면적평균강우량 산정에 미치는 영향을 평가하기 위하여 2013년 의 강우사상에 대해산술평균법, 티센가중법, 추정이론을 이용하여 면적평균강우량을 산정하고 각 경우에 대해 추정오차를 평가하였다. 그 결과 공간분포가 우수한 유역은 면적평균강우량의 추정오 차가 상대적으로 작으며, 반대로 공간분포가 왜곡된 유역의 경우는 상대적으로 추정오차가 큼을 확 인하였다.

Area average rainfall estimation is important to determine the exact amount of the available water resources and theessential input data for rainfall-runoff analysis. Like that, the necessary criterion for accurate area average rainfall estimate isthe uniform spatial distribution of raingauge network. In this study, we suggest the spatial distribution evaluationmethodology of raingauge network to estimate better area average rainfall and after the suggested method is applied to HanRiver and Geum River basin. The spatial distribution of rainfall network can be quantified by the nearest neighbor index. Inorder to evaluate the effects of the spatial distribution of rainfall network by each basin, area average rainfall was estimatedby arithmetic mean method, the Thiessen’s weighting method and estimation theory for 2013’s rainfall event, and evaluatedthe involved errors by each cases. As a result, it can be found that the estimation error at the best basin of spatialdistribution was lower than the worst basin of spatial distribution.

회귀모형의 구조변화 또는 회귀계수의 안정성을 검정하기 위해서는 매 시점 회귀계수뿐만 아니라 표준오차를 정확히 추정하여야 하는데, 이를 위해서는 관측치들 사이의 횡적상관관계를 조정하는 것이 중요하다. 만일 횡적상관관계를 조정하지 않게 되면 표준오차가 작게 추정될 수 있으며, 그로 인하여 회귀계수의 안정성을 과도하게 기각하게 된다. 본 연구에서는 횡적상관관계를 조정하는 표준오차의 추정방법들을 비교, 분석하며, 이를 회귀계수의 안정성 검정에 응용한다.

This study emphasizes that cross-sectional correlations need to be incorporated in the estimation of the coefficient standard errors. If the cross-sectional correlations are ignored as in the OLS estimation, the coefficient stability will be too often rejected since the standard errors are underestimated in many cases. This study evaluates the accuracy of several estimation methods with an application to the test of structural changes.

현행 면적평균 강수량 산정 방법인 티센 방법은 정확한 유역평균 강수량 산정에 있어 심각한 구조적 한계가 존재한다. 강수량계의 관측 정확도 외에, 강수량계 배치와 호우의 이동 방향에 따라서도 면적평균 강수량 산정에 오차가 발생할 수 있다. 유역이 작고 관측소 밀도가 희박한 경우 시뮬레이션 및 관측 사상 모두에서 티센 방법은 첨두 전후로 10분 사이에 유역평균 강수량이 계속 급격히 증감이 반복되는 특이한 경향 보였다. 그리고 티센 유역평균 강수량은 첨두 시점이 강우레이더와 다르게 나타났다. 유역이 작지만 관측소 밀도 비교적 높은 경우에는 전반적으로 티센 방법에 의해 톱니모양의 과대 첨두치의 경향은 나타나지 않았고 시간에 따른 변동이 유사하게 나타났다. 그러나 강우레이더 관측치와 지상 강수량계 관측치 유역평균 강수량 사이에 약 10분 정도의 연속적인 시차가 발생하였다. 강우레이더 유역평균 강수량의 지상보정 효과를 검토한 결과, 보정 후 면적평균 강수량이 보정 전 면적평균 강수량에 비해 오히려 상관이 낮게 나타나, 현행 강우레이더 지상보정 알고리즘 보정 효과가 높지 않은 것을 알 수 있었다.

The Thiessen method, which is the current area average precipitation method, has serious structural limitations in accurately calculating the average precipitation in the watershed. In addition to the observation accuracy of the precipitation meter, errors may occur in the area average precipitation calculation depending on the arrangement of the precipitation meter and the direction of the heavy rain. When the watershed is small and the station density is sparse, in both simulation and observation history, the Thiessen method showed a peculiar tendency that the average precipitation in the watershed continues to increase and decrease rapidly for 10 minutes before and after the peak. And the average precipitation in the Thiessen basin was different from the rainfall radar at the peak time. In the case where the watershed is small but the station density is relatively high, overall, the Thiessen method did not show a trend of sawtooth-shaped over-peak, and the time-dependent fluctuations were similar. However, there was a continuous time lag of about 10 minutes between the rainfall radar observations and the ground precipitation meter observations and the average precipitation in the basin. As a result of examining the ground correction effect of the rainfall radar watershed average precipitation, the correlation between the area average precipitation after correction is rather low compared to the area average precipitation before correction, indicating that the correction effect of the current rainfall radar ground correction algorithm is not high.

홍수예보에 활용하기 위해 강우레이더의 시공간적 관측 장점을 살려 지상강우량과 정합성 높은 QPE 추정을 위한 지형적, 수문학적 관측 환경의 한계를 극복하기 위한 방법에 대한 연구와 이러한 한계 조건으로 인해 집중호우 관측의 정량적 불확실도를 홍수해석 측면에서 규명하여야 한다. 이러한 배경에서 본 연구에서는 비슬산(BSL), 소백산(SBS), 가리산(GRS), 모후산(MHS), 서대산(SDS) 강우레이더 각각에 대하여 2016년 22개 주요 호우사상을 분석하여 관측 거리와 고도에 따른 관측의 불확실도를 정량화하고 오차지도를 유도하였다. 분석결과 강우레이더 평균적으로 100 km까지는 대략 10% 이하, 150 km 이상에서는 30%를 초과하는 것으로 나타났다. 고도에 대한 오차는 레이더 운영 고도각 평균을 기준으로 2번째 고도각까지는 대략 10% 이하, 3번째 이상에서는 20%, 4번째 고도각 이상에서는 50% 초과하는 것으로 나타났다.

A study on a method to overcome the limitations of the topographical and hydrological observation environment for estimating the QPE with high consistency with the ground rainfall by utilizing the spatiotemporal observation advantages of the rainfall radar for use in flood forecasting, and quantitative observations of localized rainfall due to these limiting conditions Uncertainty should be identified in terms of flood analysis. Against this background, in this study, 22 major heavy rain events in 2016 were analyzed for each of Mt. Biseul (BSL), Mt. Sobaek (SBS), Mt. Gari (GRS), Mt. Mohu (MHS), and Mt. Seodae (SDS) to determine the observation distance and altitude. The uncertainty of observation was quantified and an error map was derived. As a result of the analysis, it was found that, on average, the rainfall radar exceeded 10% up to 100 km and 30% over 150 km. Based on the average radar operating altitude angle, it was found that the error for the altitude was approximately 10% or less up to the second altitude angle, 20% at the third or higher altitude angle, and more than 50% at the fourth altitude angle or higher.

복수의 안테나를 사용하는 Pre-Rake CDMA 시스템은 복잡한 RAKE 합성기를 수신기에서 사용하지 않아도 좋은 수신 성능을 얻을수 있는 장점이 있다. 그러나 Pre-Rake 시스템은 채널 추정오류에 크게 영향을 받기 때문에 시스템 성능 평가에 있어서 채널추정오류는 반드시 고려되어야 한다고 볼 수 있다. 본 논문에서는 채널추정오류를 가지는 MISO Pre-Rake CDMA 시스템을 이론적인해석을 통하여 분석한 후 도출된 결과를 컴퓨터 시뮬레이션을 이용해 얻은 결과와 비교한다. 이론적인 해석결과로 볼 때, Pre-Rake 시스템의 성능은 진폭오류 보다는 위상오류에 의한 영향을 크게 받는 것으로 확인되었다.

Pre-Rake CDMA system using multiple transmit antenna provides a good system performance without equipping a complicated RAKE combiner at the mobile receiver. However, the performance of the Pre-Rake systems are significantly affected by channel estimation error so that the effect of the channel estimation error should be considered and analyzed for evaluating the system performance. In this paper, MISO(Multi-Input Multi-output) Pre-Rake CDMA system with channel estimation error is analyzed by numerical analysis and the results are compared with that of the computer simulation. From the numerical results, it is found that the performance of the Pre-Rake system is more affected by the phase error than the amplitude error.

논문에서는 길쌈 부호화 시공간 블록 부호 시스템의 오류 성능에 대한 채널 변화 및 채널 추정 오류의 영향에 대해 살펴보았다. 본 논문에서는 직교 방식의 Alamouti 시공간 블록 부호 및 준직교 방식의 Jafarkhani 시공간 블록 부호의 두 가지 시공간 블록 부호 방식을 고려하여, 길쌈 부호화 시공간 블록 부호 시스템들에서 채널 변화 및 추정 오류 정도에 따른 오류 성능 변화를 모의실험을 통해 분석하였다. 분석 결과 채널 변화 속도가 느린 경우에는 시간 다이버시티 효과로 인해 채널 변화가 없는 상황 대비 검출 방식에 관계없이 오류 성능이 향상되나, 채널 변화 속도가 빠른 경우에는 검출 과정에서의 오류로 인해 특히 준직교 Jafarkhani 적용 시스템에서 STBC 검출 사용 시 ZF 및 MMSE 검출 사용 시와 달리 큰 폭의 성능 열화가 발생함을 관측하였다. 또한 채널 추정 오류 증가 시에는 검출 기법 및 채널 변화 속도에 관계없이 큰 폭의 성능 열화가 발생함을 확인하였다.

This paper investigates the impact of the channel variations and channel estimation errors on the error performance of convolutional coded STBC systems. We consider the orthogonal Almouti STBC and the quasi-orthogonal Jafarkhani STBC, and the error performance of the convolutional coded STBC system is investigated according to the channel variation and channel estimation error via numerical simulations. Simulation results show that, if the channel variation speed is slow, time diversity effects improve the error performance compared to the static-channel cases. However, if the channel variation speed is fast, unlike ZF or MMSE detection, the conventional STBC detection has the significant performance degradation especially with the quasi-orthogonal Jafarkhani STBC. Further, the error performance of the system is significantly degraded as the channel estimation errors become stronger, regardless of the detection scheme and channel variation speed.

본 논문에서는 sparse 채널에서 대표적인 채널 추정 기법들의 오차 성능을 비교 및 분석한다. 오차 성능을 비교하기 위해 크라머-라 오 경계를 이용하여 최소평균자승오차 추정기법의 하한 경계를 구하고 이를 정합 추적 기법의 상한 경계와 분석한다. 분석 결과로 부터 추정 탭 개수와 신호 대 잡음비에 따라 기존에 sparse 채널에서 효율적인 추정기법으로 알려진 정합 추적 기법보다 최소평균 자승오차 추정기법의 오차가 적을 수 있음을 보인다. 레일리이 페이딩 분포를 갖는 두 개의 sparse 채널에 대한 전산모의실험 결과 신호 대 잡음비에 따라 두 추정 기법의 오차 성능이 반전되는 경우를 보였다.

In this paper, we evaluate and analyze representative estimation methods for the sparse channel. In order to evaluate error performance of matching pursuit(MP) and minimum mean square error(MMSE) algorithm, lower bound of MMSE is determined by Cramer-Rao bound and compared with upper bound of MP. Based on analysis of those bounds, mean square error of MP which is effective in the estimation of sparse channel can be larger than that of MMSE according to the number of estimated tap and signal-to-noise ratio. Simulation results show that the performances of both algorithm are reversed on the sparse channel with Rayleigh fading according to signal-to-noise ratio.

In recent years, accident induced by human error is increasing in the chemical plant. Human error analysis of the chemical plant was conducted on the basis of past accident. Some company called by A for the basis of a chemical accident. Factor analysis of human errors was separated in plant operation and work. Agency's work of occupational safety & health was classified into four types. It is based on the work before, during work, recovery work, and discontinue work. It was still separated work of human error by analysis and then was derived factor and issue. The human error factor and priority for accident prevention in the chemical plant is presented.

The application of Wireless Sensor Networks requires a wise utilization of limited energy resources. Therefore, a wide range of routing protocols with a motivation to prolong the lifetime of a network has been proposed in recent years. Hierarchical clustering based protocols have become an object of a large number of studies that aim to efficiently utilize the limited energy of network components. In this paper, the effect of mismatch in parameter estimation is discussed to evaluate the robustness of a distanced based algorithm called distributed clustering protocol in homogeneous and heterogeneous environment. For quantitative analysis, performance simulations for this protocol are carried out in terms of the network lifetime which is the main criteria of efficiency for the energy limited system.

The prospective applications of unmanned aerial vehicle (UAV) have marked its significance in various military and non-military applications. On-board sensor accuracy and state estimation algorithms are important issues related with the performance aspects. Our study is focused on OktoKopter, which is one of the successful universal aerial platforms. The multi-rotor aircraft is equipped with global positioning system (GPS), compass, altitude control and telemetry, etc., thus the features make it powerful and extremely versatile. In this paper, we first present a sensor fusion model, and then proceed with comparison of three state estimation algorithms, namely Kalman, extended Kalman filter (EKF) and unscented Kalman filter(UKF).The performance of UKF is found to be the best; the result being tallied with theoretical notion of the algorithm with practical experimented data.

In previous B. Steiner channel estimation algorithm adopted in Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) system, but there are some errors in estimated channel due to noise. However, due to using the short training sequences available, the resulting estimation of the channel and detected data suffer from unavoidable errors. In this paper, we analyze the effect of channel estimation error on joint detection and evaluate the performance of TD-SCDMA systems with channel estimation error. The simulation results are consistent with the theory analysis.

In this paper, we consider the transmission scheme for asymmetric decode-and-forward (DF) multi-input multi-output (MIMO) two-way relay system with channel estimation error. In order to transmit with asymmetric data rates from the relay to the receivers according to their individual link qualities, we propose a novel transmission scheme for the broadcast phase by employing a priori bit information. The proposed scheme employs multi-antenna and network coding at the relay. The idea is the weaker link receiver exploits a priori bit information in each transmit symbol, so that it only needs to decode on a subset of the transmit symbol constellation. Subject to the same bit error rate constraint, the weaker link receiver can decode at lower signal-to-noise ratio compared to the stronger link. The different signal labeling used for mapping bits to symbols at the relay cause different minimum Euclidean distance, so it is shown to be crucial for the performance at the receivers. Subsequently, we investigate the effect of the channel estimation error on the system performance. Simulations show that the proposed transmission scheme can be applied to practical scenarios with asymmetric channel qualities.

We studied the Implementation and design of inertial sensor that enables to improve performance by reduce the noise of rotor which Angle of inclination. Analyze model equation including motion equation and error, signal processing filter algorithm on high frequency bandwidth with eliminates error using estimation of error coefficient method is was designed and the prototype inertial sensor showed the pick off noise up to 0.2 mV and bias error performance of about 0.06 deg/hr by the experiments. Accordingly, we confirmed that the design of inertial sensor was valid for high rotation.

A novel mechanism model is proposed for the difference between the lake water areas derived from the remote sensing images at high spatial resolution and low spatial resolution. The areas estimated by images at different spatial resolution are calculated theoretically for the elliptical (including circular), triangular and hexagonal areal ground features. Based on the ideal cases, the quantitative rule between the two kinds of area is summarized. According to the theoretical results, the mechanism model is established for the error of the lake surface area. Especially, the surface area of Ebinur Lake derived with SPOT/VEGETATION (VGT), Landsat EM/ETM+ and MODIS are employed to validate the effectiveness and applicability of this model. With the help of the linear regression method, this model can be used to estimate the error between the Ebinur Lake surface areas derived from satellite images at different spatial resolutions, and promote the lake surface area from low spatial resolution imagery. Consequently, this model is helpful for estimating the lake surface area more accurately in a large region, and its effectiveness can be improved with more historical data.