• Journal of Forest and Environmental Science
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• 제32권2호
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• pp.140-148
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• 2016

This study aims to estimate the forest volumes of the economic forest in Gangwon Province of Republic of Korea (hereinafter referred to as Gangwon) through the synthetic estimation. To estimate the forest volume, Stratified systematic sampling method was used along with the forest type maps and the $5^{th}$ National Forest Inventory data. The synthetic estimation includes sample plots of the expanded areas as well as those of the target area, and the forest volume of economic forest in every city and county throughout Gangwon. Results show that the average forest volume calculated by synthetic estimation was $159.6m^3/ha$ in national economic forest and $129.6m^3/ha$ in private economic forest. The total forest volume of the national economic forest was approximately $59.45million\;m^3$, which was $20.18million\;m^3$ higher than that of the private economic forest. On the other hands, the standard error of the national economic forest was approximately ${\pm}2.21m^3/ha$, which was ${\pm}0.30m^3/ha$ lower than that of the private economic forest. The lowest standard errors was about ${\pm}3.12 m^3/ha$ in broad-leaved forest, followed by ${\pm}4.33m^3/ha$ of mixed forest, and ${\pm}5.78m^3/ha$ of coniferous forest.

• 한국재난정보학회 논문집
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• 제19권1호
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• pp.10-17
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• 2023

연구목적: 본 논문에서는 IR-UWB를 활용하여 실내 위치 추정을 위한 거리 추정 기술을 제안하고 연구 수행한다. 실내 환경에서 clutter(클러터)나 noise(노이즈) 환경으로 인해 낮아진 목표 신호의 검출과 세기를 높일 수 있는 알고리즘을 제안한다. 연구방법: 클러터 억제와 미약 신호를 검출하기 위해 기존 연구인 Background Remover, Corelation, Singular Vector Decomposition 연구를 분석하고 알고리즘을 제안한다. 알고리즘의 평가를 위해 일반 실내 건물에서 2~11.5m 까지 목표물을 측정하는 실험을 진행하고 평균 에러율을 통해 성능평가 및 검증을 진행한다. 연구결과: 제안하는 알고리즘을 통해 11.5m까지 평균에러 0.57m, 6m이상에서 11.5m까지 에러율 0.49m였다. 기존 연구 대비하여 평균 에러율 약 1m를 줄이는 결과를 보였다. 결론: 본 연구에서 제안하는 알고리즘을 실험을 통해 검증했다. 거리나 위치 추정을 위한 클러터, 노이즈 환경에서 미약 신호 검출하는 기법으로 활용이 가능할 뿐 아니라 투과성이 높은 UWB 레이더를 활용하여 제난 상황에서 인명을 피해를 줄이기 위한 인명 검출 기법으로 활용될 수 있다.

• 정보과학회 논문지
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• 제42권2호
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• pp.264-271
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• 2015

객체에 대한 위치인식을 위해서는 3개 이상의 무선모듈이 설치된 환경에서 객체와 무선모듈간 PTMP 통신기반의 삼각측량법을 이용하는 것이 일반적이다. 따라서 무선통신 인프라가 사전에 구축된 공간에서만 적용 가능한 문제점이 있다. 이러한 문제점을 해결하기 위해 PTP 통신 방식이 제안되었으나 구체적인 검증부족으로 일반화하기에는 미흡한 문제가 있다. 본 논문에서는 기존의 PTP 통신 기반의 위치추정 알고리즘의 문제점을 분석하고 단일수신기가 다수 수신기를 대체할 수 있는 조건을 만족하는 고정객체 위치추정 알고리즘을 제안한다. 또한, 제안된 알고리즘 평가를 위해 CSS 무선통신 모듈을 이용하여 위치추정 시스템을 설계 및 구현한다. 그리고 구현된 시스템을 통한 시험 결과 $10m{\times}16m{\times}1m$의 실내환경에서 위치추정을 위한 최적 이동거리 간격이 3m임을 확인하였다.

• 응용통계연구
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• 제29권3호
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• pp.463-470
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• 2016

주파수 영역에서 시계열 자료를 분석함에 있어 스펙트럴 추정량은 매우 유용한 도구이다. 기존의 스펙트럴 추정량은 이상치에 영향을 받을 수밖에 없는 구조로 되어있어서 M-추정법을 활용하여 로버스트 스펙트럴 추정량이 제안되었다. M-추정을 위해서는 조율모수를 적절하게 선택해 주어야 하는데 Pak (2001)이 제안한 방법을 사용할 때의 효과를 연구하였다. 모의실험과 주택가격지수에의 적용을 통하여 효과가 있음을 확인하였다.

• 산업공학
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• 제10권3호
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• pp.125-132
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• 1997

We proposed a 2-step neural network approach for estimating machining parameters of electric discharge wire cut. The first step net, which is described as a backward neuro-estimation, is designed for estimating coarse cutting parameters while the second phase net, as a polishing forward neuro-estimation, is utilized for determining fine parameters. Sequential estimation procedure, based on backward and forward net, is performed using the net's approximation capability which is M to 1 and 1 to M mapping property. Experimental results an given to evaluate the accuracy of the proposed 2-step neuro-estimation.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.397-401
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• 2006

In this paper, we proposed a high precision location estimation algorithm using an enhanced decision scheme for RTLS and analyzed its performance in point of an average estimation error distance at 2D coordinates searching area, $300m\times300m$ and LOS propagation environments. Also the performance was compared with that of conventional TDOA algorithm according to the number of available reader and received sub-blink. From the results, we confirmed that the proposed location estimation algorithm using an enhanced decision scheme was able to improve an estimation accuracy even in boundary region of searching area. Moreover, effectively reduced an error distance in entire searching area so that increased the stability of location estimation in RTLS. Therefore, we verified that the proposed algorithm provided a more higher estimation accuracy and stability than conventional TDOA.

• 센서학회지
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• 제26권6호
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• pp.371-378
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• 2017

An accurate and robust estimation of center of rotation (CoR) using optical marker trajectory is crucial in human biomechanics. In this regard, the performances of the two prevailing least-squares methods, the Gamage and Lasenby (GL) method, and the Chang and Pollard (CP) method, are verified in this paper. While both methods are sphere-fitting approaches in closed form and require no tuning parameters, they have not been thoroughly verified by comparison of their estimation accuracies. Furthermore, while for both methods, results for stationary CoR locations are presented, cases for perturbed CoR locations have not been investigated for any of them. In this paper, the estimation performances of the GL method and CP method are investigated by varying the range of motion (RoM) and noise amount, for both stationary and perturbed CoR locations. The difference in the estimation performance according to the variation in the amount of noise and RoM was clearly shown for both methods. However, the CP method outperformed the GL method, as seen in results from both the simulated and the experimental data. Particularly, when the RoM is small, the GL method failed to estimate the appropriate CoR while the CP method reasonably maintained the accuracy. In addition, the CP method showed a considerably better predictability in CoR estimation for the perturbed CoR location data than the GL method. Accordingly, it may be concluded that the CP method is more suitable than the GL method for CoR estimation when RoM is limited and CoR location is perturbed.

• Journal of the Korean Statistical Society
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• 제32권4호
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• pp.385-399
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• 2003

We first introduce the quasi-score estimating function and applied the quasi-score estimating function to nonlinear time series models. We proposed the M quasi-score estimating functions bounded functions for the quasi-score estimating functions. Also, we investigated the asymptotic properties of quasi-likelihood estimators and M quasi-likelihood estimators. Simulation results show that the M quasi-likelihood estimators work better than the least squares estimators under the heavy-tailed distributions

• 한국생산제조학회지
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• 제19권1호
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• pp.15-25
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• 2010

The objective of this study is to investigate the optimal arrangement of cameras used for the robot's vision control scheme. The used robot's vision control scheme involves two estimation models, which are the parameter estimation and robot's joint angle estimation models. In order to perform this study, robot's working region is divided into three work spaces such as left, central and right spaces. Also, cameras are positioned on circular arcs with radius of 1.5m, 2.0m and 2.5m. Seven cameras are placed on each circular arc. For the experiment, nine cases of camera arrangement are selected in each robot's work space, and each case uses three cameras. Six parameters are estimated for each camera using the developed parameter estimation model in order to show the suitability of the vision system model in nine cases of each robot's work space. Finally, the robot's joint angles are estimated using the joint angle estimation model according to the arrangement of cameras for robot's point-position control. Thus, the effect of camera arrangement used for the robot's vision control scheme is shown for robot's point-position control experimentally.

• 전기학회논문지
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• 제62권12호
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• pp.1737-1743
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• 2013

This paper proposes the range and velocity of the object estimation method using a moving camera. Structure and motion (SaM) estimation is to estimate the Euclidean geometry of the object as well as the relative motion between the camera and object. Unlike the previous works, the proposed estimation method can relax the camera and object motion constraints. To this end, we arrange the dynamics of moving camera-moving object relative motion model in an appropriate form such that the nonlinear observer can be employed for the SaM estimation. Through both simulations and experiments we have confirmed the validity of the proposed estimation algorithm.