• 제어로봇시스템학회논문지
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• 제18권7호
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• pp.688-698
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• 2012

This paper deals with ROLSO (Reduced Order Luenberger State Observer) design to prevent jackknifing phenomenon of articulated vehicles consisting of the tractor and semi-trailer by using GPS. In addition, by applying the regulator system using ROLSO feedback system, simulation's result presents that articulated vehicle's states are stabilized than the human's PR time (Preception Response time) rapidly. This simulation verifies that the automatic control of articulated vehicle's can be applied for the accident prevention for the time that the driver is unable to manage with the sudden accident. For this simulation, by using the equation of planar motion, the modeling of the articulated vehicle was performed. This modeling was expressed in the state space model. And FOLSO (Full Order Luenberger State Observer), ROLSO were designed by using the state space model of an articulated vehicle's dynamics.

• 한국수학교육학회지시리즈A:수학교육
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• 제20권3호
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• pp.45-49
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• 1982

• Communications for Statistical Applications and Methods
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• 제8권1호
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• pp.51-63
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• 2001

We are interested in the conditional independence in sparse $2\tims2\tims$K tables with very rare cell counts. The most popular test is Cochran-Mantel-Haenszel statistic when sample sizes are moderately large enough to guarantee the chi-square approximation. We will consider jackknifing the CMH test and also suggest an approximate normal distribution for the standardized jackknifed CMH statistic. The main focus of this paper is to improve the chi-squared approximation to the CMH test by using the asymptotic normality of the jackknifed CMH test when sample sizes are very sparse but K and N$\infty$. The performance of the proposed jackknifed test, in the sense of significance level control and power, will be compared with that of the CMH test through a Monte Carlo study.

• Journal of Positioning, Navigation, and Timing
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• 제3권1호
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• pp.1-10
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• 2014

Recently, monitoring of two-body ground vehicles carrying extremely hazardous materials has been considered as one of the most important national issues. This issue induces large cost in terms of national economy and social benefit. To monitor and counteract accidents promptly, an efficient methodology is required. For accident monitoring, GPS can be utilized in most cases. However, it is widely known that GPS cannot provide sufficient continuity in urban cannons and tunnels. To complement the weakness of GPS, this paper proposes an accident monitoring method based on a monocular vision sensor. The proposed method estimates angular acceleration from a sequence of image frames captured by a monocular vision sensor. The possibility of using angular acceleration is investigated to determine the occurrence of accidents such as jackknifing and rollover. By an experiment based on actual measurements, the feasibility of the proposed method is evaluated.

• 식물분류학회지
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• 제36권2호
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• pp.91-108
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• 2006

한국산 Geranium(쥐손이풀속) 16분류군과 3개의 군외군을 대상으로 진화와 유연관계를 평가하기 위하여 nuclear ribosomal DNA 중 internal transcribed spacer (ITS) 구간에 대한 계통 분류학적 분석을 수행하였다. 계통 분류학적 연구들은 bootstrapping, jackknifing을 포함한 parsimony 방법과 neighbor-joining 방법을 사용하였다. 그 결과 한국산 쥐손이풀속은 단계통군을 형성하였다. Parsimony tree에서 한라이질풀은 가장 기부에 위치하였으며 Erianthum group은 높은 지지도에 의해 하나의 분계조를 형성하였다(100% bootstrap과 jackknife values). Krameri group인 산쥐손이는 Palustre group인 섬쥐손이와 가까이 위치하였으나 그 지지도는 매우 낮았고(37% bootstrap과 44% jackknife values) strict tree에서는 clade가 붕괴되었다. Wilfordii group에 분류되었던 큰세잎쥐손이는 Koreanum group과 가까이 위치하였고, Sibiricum group인 쥐손이풀은 Krameri group인 삼쥐손이와 가까이 위치하였으며 또한 이 두 종은 역시 Krameri group인 선이질풀과 자매군을 이루었다. Wilfordii group인 좀쥐손이와 세잎쥐손이는 Sibiricum group인 삼이질풀, 이질풀과 가까이 위치하였다. 이와 같은 결과는 많은 학자들에 의해 논란이 된 분류군들의 문제를 해결하는데 유용한 접근방법이라 생각되며, 전체 쥐손이풀속 수준에서의 계통분석에 유용한 도구로 이용될 수 있을 것으로 판단된다.