• 한국초등수학교육학회지
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• 제24권1호
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• pp.53-87
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• 2020

본 연구는 초등학교 수학에서의 계산어림활동을 고찰함으로써 계산어림지도를 위한 개선방향을 모색하고자 2015 개정 초등학교 수학과 교육과정과 그에 따른 수학교과서 및 교사용지도서에 포함된 계산어림 관련 내용을 살펴보았다. 이를 통해서 전학년군에 걸쳐서 계산어림을 강조할 필요가 있으며, 계산어림의 효과적인 지도를 위해서 계산어림하기, 어림과정설명하기, 어림값과 계산값 비교를 통한 계산결과의 타당성 검증하기 등을 체계적으로 지도하는 것이 필요하며, 연산관련단원에서 계산어림관련 활동을 좀 더 강화하는 것이 필요하다는 것을 알 수 있었다.

• Advances in robotics research
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• 제2권2호
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• pp.129-140
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• 2018

With the increasing demand for the development of human pose estimation, such as human-computer interaction and human activity recognition, there have been numerous approaches to detect the 2D poses of people in images more efficiently. Despite many years of human pose estimation research, the estimation of human poses with images remains difficult to produce satisfactory results. In this study, we propose a robust 2D human body pose estimation method using an RGB camera sensor. Our pose estimation method is efficient and cost-effective since the use of RGB camera sensor is economically beneficial compared to more commonly used high-priced sensors. For the estimation of upper-body joint positions, semantic segmentation with a fully convolutional network was exploited. From acquired RGB images, joint heatmaps accurately estimate the coordinates of the location of each joint. The network architecture was designed to learn and detect the locations of joints via the sequential prediction processing method. Our proposed method was tested and validated for efficient estimation of the human upper-body pose. The obtained results reveal the potential of a simple RGB camera sensor for human pose estimation applications.

• 한국통신학회논문지
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• 제31권6C호
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• pp.623-628
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• 2006

본 논문에서는 직교 주파수 분할 다중 (orthogonal frequency division multiplexing: OFDM) 방식의 무선 전송 시스템에서 시간 오차가 (timing error) 존재할 때 주파수 옵셋을 (frequency offset) 추정하는 기법에 대해 다루었다. 시간 오차가 존재하면, 주파수 옵셋 추정식의 상관값이 (correlation value) 감소하게 되어 추정 성능의 감소를 가져온다. 이를 해결하기 위하여, 동기 위상 범위와 문턱값 기반의 주파수 옵셋 추정 기법을 제안하였다. 더불어 이를 기반으로 한 시간 오차 추정기법을 제안하였다. 제안한 기법의 성능을 평가하기 위해서 모의실험을 수행하였고, 제안한 기법이 기존 기법보다 연산 복잡도가 낮으며 시간 오차에 강인함을 확인하였다. 제안한 시간 오차 추정기법은 주파수 옵셋 재 추정에 사용될 수 있으며, 신뢰성 있는 추정값을 제공함을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.106-108
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• 2009

In this paper, we handle automatic estimation of mechanical parameters for mobile robots. Most estimation methods are based on the sequence and move-measurement-estimation. Estimated accuracy is largely dependent on the paths. Mathematical conditions minimizing estimation errors are derived, and then a method finding optimal paths for mechanical parameters estimation is proposed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.159.1-159
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• 2001

A new time-domain FIR parameter estimation called the receding horizon least square estimation (RHLSE) is suggested for stochastic systems by combining the well known least square estimation with the receding horizon strategy. It can be always obtained without the requirement of any \textit{a priori} information about the horizon initial parameter. A fast algorithm for the suggested estimation is also presented which is remarkable in the view of computational advantage and simple implementation. It is shown that the proposed estimation is robust against temporary modeling uncertainties due to their FIR structure through simulation studies.

• 한국조사연구학회:학술대회논문집
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• 한국조사연구학회 2001년도 춘계학술논문발표대회 발표논문집
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• pp.57-70
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• 2001

단위 무응답 상황에서의 사후층화 추정, 회귀 추정, 보정 추정 또는 일반화 래킹 추정을 포함하는 다양한 추정 방법에 대해 살펴보았다. 이러한 모든 방법들은 무응답하에서 보정 추정의 일반적인 형태로 나타나며, 또한 이들은 주어진 범주형 보조변수하에서의 사후층화 이론에 기초를 두고 있다.

• ETRI Journal
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• 제36권3호
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• pp.460-468
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• 2014

This paper addresses the problem of joint time of arrival (TOA) and direction of arrival (DOA) estimation in impulse radio ultra-wideband systems with a two-antenna receiver and links the joint estimation of TOA and DOA to the sparse representation framework. Exploiting this link, an orthogonal matching pursuit algorithm is used for TOA estimation in the two antennas, and then the DOA parameters are estimated via the difference in the TOAs between the two antennas. The proposed algorithm can work well with a single measurement vector and can pair TOA and DOA parameters. Furthermore, it has better parameter-estimation performance than traditional propagator methods, such as, estimation of signal parameters via rotational invariance techniques algorithms matrix pencil algorithms, and other new joint-estimation schemes, with one single snapshot. The simulation results verify the usefulness of the proposed algorithm.

• 한국정보처리학회논문지
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• 제7권6호
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• pp.1810-1817
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• 2000

The purpose of this research is to develop an estimation model for information systems operating costs. Current cost estimation practices and types of sytem management projects have been reviewed an analyses. Typical operating project types of information systems are determined. They are application system operation, help disk operation, network management and operation, and hardware management. For each type of projects, cost factors ar identified and a structure of cost estimation model is defined. Cost estimation models have been constructed and tested by 24 real operation projects data. Statistical analysis shows derived models are statistically significant. User groups' opinion on these draft cost estimation model has been surveyed and summarized. The results of this research can be used as a cornerstone for future research on operating cost estimation, and for cost estimation guideline of information systems operation projects.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2538-2541
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• 2005

This paper deals one of the methods of system identification, especially on-line system identification in time-domain. The algorithm in this study needs all states of the system as well input to it for system identification. In this reason, Kalman filter is used for state estimation. But in order to implement a state estimator, the fact that a system model must be known is logical contradiction. To overcome this, state estimation and system parameter estimation are performed simultaneously in one sample. And the result of the system parameter estimation is used as basis to state estimation in next sample. On-line system identification comes, in every sample by performing both processes of state estimation and parameter estimation that are related mutually and recursively. This paper demonstrates the validity of proposed algorithm through an example of an unstable inverted pendulum system. This algorithm can be useful for on-line system identification of a system that has fewer number of measurable output than system order or number of states.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 A
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• pp.58-60
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• 2000

In this paper we present an estimation method of electric energy[kWh] for load management of pole-transformer. For the electric energy estimation, we use the nonlinear load research based estimation(NLRE) algorithm. The NLRE curve is the normalized annual cumulative energy consumption for a particular day in a year. And, it is used for the coefficient estimation. Estimation method of suggested electric energy of pole-transformer used billing cycle electric energy estimation equation is verified as comparison billing cycle electric energy and estimated electric energy. We can reduce the error of peak load estimation by suggested method than the conventional method in domestic.