• Journal of the Korean Data and Information Science Society
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• 제24권6호
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• pp.1439-1448
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• 2013

확률화 블록계획법이나 교차된 이원분류표에 대한 분산분석과 오차제곱합의 성질은 널리 알려져있다. 본 논문에서는 인자에 따른 수준에 또 다른 인자들이 내포되어 있는 지분계획 특히 이단계 지분계획에 대하여 구조적 특징을 설명하고 오차제곱합의 성질에 대하여 살펴보았다. 또한 이단계 지분계획의 활용으로 크로스오버 계획을 소개하고 생물학이나 약학 등의 분야에서 많이 사용되는 동등성 검정의 신뢰구간 구축에 대하여 설명하였고 실제자료와 SPSS 통계 페키지를 이용하여 분석함으로서 응용성을 부각시켰다.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.449-450
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• 2012

오늘날 컴퓨터와 정보통신 기술에 의해 생성된 디지털 맵(map)은 다양한 분야에서 응용 활용되고 있다. 이에 디지털 맵 제작 기술의 발전과 함께 선형 단순화(line simplification) 기법에 대한 연구가 활발하게 진행되고 있다. 이에 본 논문은 라인의 형상을 최대한 보존하기 위하여 최소영역오차(minimum area error, MAE) 구간을 이용한 혼합형 선형 단순화 기법을 제안한다. 기존의 선형 단순화 기법과의 비교 실험을 통하여, 제안하는 기법의 성능이 우수함을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.990-993
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• 2005

This paper presents new results on designing a robust adaptive direct controller for a class of non-linear first order systems. The designing method based on the use of dead zone in the parameters' update law. It is shown that the size of the dead zone does not depend on the upper bounds of the disturbances. That means that even if the bounds are large, the tracking error will always converge to a set of the dead zone size. However, in the ideal case, when the exogenous signal functions and the function represents un-modeled dynamics of the systems equal to zero, the proposed controller does nt mean the convergence to zero of the tracking error. Computer simulation results show the effectiveness of the controller in dealing with the stated problems.

• 한국항해항만학회지
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• 제36권9호
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• pp.699-706
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• 2012

This paper describes Declination interpolation method in the application of Digital Magnetic Compass(DMC) with small capacity memory for relatively low-priced system. The purpose of this study is to find accurate declination values using Declination Lookup Table(DLT) and Secular Variation Table(SVT) with the Bilinear interpolation method having four points data only. World Magnetic Model with Gauss coefficients produced by NOAA is used in the calculation of DLT and SVT at desired years. To verify the applicability of the proposed method, the simulation tests and the error analysis are carried out in this work. As results from tests, the interpolation error is within 0.01 degree that is much enough to implement high accurate DMC comparing with commercial DMCs on the market. In summary, the declination interpolation method, proposed in this study, can be useful in the application of DMC.

• 한국IT서비스학회지
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• 제21권2호
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• pp.127-143
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• 2022

In this study, a usability evaluation tool was developed for "ICANDUINO", a VR-based mobile application for maker education, and usability evaluation was conducted with a heuristic survey method for experts. The usability evaluation tool was derived through literature review and validated by two experts. It consisted of seven domains (effectiveness, efficiency, satisfaction, learnability, memorability, error, and cognitive load) and twenty-five sub-items. As a result of the usability evaluation conducted for six experts, it received the highest score in the domain of efficiency and the lowest score in the domain of error. The improvements of ICANDUINO were derived by analyzing the qualitative opinions of experts in each of the four stages (training, coding, tinkering, and testing) of making. the results of this study can be used as a guideline when evaluating the usability of a mobile app for education.

• 제어로봇시스템학회논문지
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• 제13권7호
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• pp.637-648
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• 2007

This paper presents a sensor fusion method based on indirect Kalman filter(IKF) for error compensation of low-cost inertial sensors and its application to the determination of attitude and position of small flying robots. First, the analysis of the measurement error characteristics to zero input is performed, focusing on the bias due to the temperature variation, to derive a simple nonlinear bias model of low-cost inertial sensors. Moreover, from the experimental results that the coefficients of this bias model possess non-deterministic (stochastic) uncertainties, the bias of low-cost inertial sensors is characterized as consisting of both deterministic and stochastic bias terms. Then, IKF is derived to improve long term stability dominated by the stochastic bias error, fusing low-cost inertial sensor measurements compensated by the deterministic bias model with non-inertial sensor measurement. In addition, in case of using intermittent non-inertial sensor measurements due to the unreliable data link, the upper and lower bounds of the state estimation error covariance matrix of discrete-time IKF are analyzed by solving stochastic algebraic Riccati equation and it is shown that they are dependant on the throughput of the data link and sampling period. To evaluate the performance of proposed method, experimental results of IKF for the attitude determination of a small flying robot are presented in comparison with that of extended Kaman filter which compensates only deterministic bias error model.

• 전기전자학회논문지
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• 제23권4호
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• pp.1236-1242
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• 2019

최근 로봇 기술의 발전에 따라 모바일 로봇에 대한 연구가 주목을 받고 있다. 현재 모바일 로봇의 대부분은 2륜 및 4륜 기반으로 개발되어 직선 주행에는 강하지만 방향전환 및 제자리 회전에 제한이 있으며, 이러한 문제점을 극복하고자 구 형태의 바퀴를 사용하는 볼 로봇에 대한 연구가 진행되고 있다. 볼 로봇은 협소한 공간에서 큰 제약 없이 이동이 가능하다는 장점을 가지고 있지만, 구조적으로 불안정하여 안정적인 자세 및 주행 제어가 요구된다. 본 연구에서는 무선통신으로 자세 및 주행 제어가 가능한 스마트폰 어플리케이션을 제안하고, 이를 적용하여 제작된 볼 로봇을 이용하여 자세 및 주행 제어 실험을 수행하였다. 실험을 통해 Roll 각도 오차 ±0.8도, Pitch 각도 오차 ±0.7도 이내에서 제어됨을 확인하였으며, 1m 주행제어에 대해 x축 방향 위치오차 ±0.1m, y축 방향 위치오차 ±0.08m 이내에서 제어됨을 확인하였다.

• 대한인간공학회지
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• 제26권1호
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• pp.93-97
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• 2007

As many as 111 reactor trips have occurred for recent 5 years('01-'05), and 26 cases of them have occurred due to human error. The trend of human error rate didn't decrease in 2004, so KHNP started to make efforts to decrease human errors. In 2006 KHNP bench marked excellent foreign nuclear power plants and introduced human error prevention tools. In addition, KHNP created as many as 40 posters for human performance improvement. The posters are based on the about 500 real incident reports collected through K-HPES from 1995. Therror preventive tols for the poster. This paper explains design of the posters and their application.

• Journal of the Korean Data and Information Science Society
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• 제27권6호
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• pp.1645-1651
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• 2016

A lot of data, particularly in the medical field, contain variables that have a measurement error such as blood pressure and body mass index. On the other hand, recently smoothing methods are often used to solve a complex scientific problem. In this paper, we study a Bayesian curve-fitting under functional measurement error model. Especially, we extend our previous model by incorporating covariates free of measurement error. In this paper, we consider penalized splines for non-linear pattern. We employ a hierarchical Bayesian framework based on Markov Chain Monte Carlo methodology for fitting the model and estimating parameters. For application we use the data from the fifth wave (2012) of the Korea National Health and Nutrition Examination Survey data, a national population-based data. To examine the convergence of MCMC sampling, potential scale reduction factors are used and we also confirm a model selection criteria to check the performance.

• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.556-561
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• 2011

This paper presents a new method for shift keying using the combination of scaling function and wavelet named scaling wavelet shift keying (SWSK). An algorithm for SWSK modulation is carried out where the scaling function and the wavelet are encoded to 1 and 0 in accordance with the binary input, respectively. Signal energy, correlation coefficient and error probability of SWSK are derived from error probability of frequency shift keying(FSK). The performance is analyzed in terms of error probability and it is simulated in accordance with the kind of the wavelet. Based on the results, we can conclude that the proposed scheme is superior to the performance of the conventional schemes.