• 산업공학
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• 제23권3호
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• pp.239-245
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• 2010

This paper considers a localization problem of a moving tag on RFID(Radio Frequency Identification) systems, where a positioning engine collects TDOA(Time-difference of Arrival) signal from a target tag to estimate the position of the tag. To localize the tag in the RFID system, we develop two heuristic algorithms and evaluate their performance in the estimation error and computational time by using randomly generated numerical examples. Based upon the performance evaluation, we can conclude our algorithms are valuable for localization the moving target.

• 한국군사과학기술학회지
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• 제4권2호
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• pp.138-146
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• 2001

The guided missile carries its own tracking radar to detect its target under noisy environments. The enemy warship uses the anti-missile electric-countermeasure(ECM) technique, such as chaff or decoy, so that the approaching guided missile could not destroy it. In this paper we propose the identification algorithm of a target signal when the enemy warship uses the chaff and decoy to deceive the guided missile. In the proposed scheme the mean square errors(MSE) between the received signals and the reference decoy signal, and between the received signals and the reference chaff signal are calculated. Then, the received signal which results in the maximum MSE is regarded as a warship signal. The performance of the proposed algorithm is verified through the computer simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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• pp.1862-1863
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• 2006

In this paper, A new tuning method for IMC-PID controller is proposed with the identification using the relay method from closed-loop transfer function. It is considered a second-order plus delay time(SOPDT) model and selected a third-order plus delay time transfer function model as a target function. The filter function is derived from the suitable target function to satisfy the design specifications. A robustness test was done to verify the robust-stability.

• International Journal of Control, Automation, and Systems
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• 제6권1호
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• pp.44-53
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• 2008

An interacting multiple model (IMM) estimation algorithm based on the mixing of the predicted state estimates is proposed in this paper for a right continuous jump-linear system model different from the left-continuous system model used to develop the existing IMM algorithm. The difference lies in the modeling of the mode switching time. Performance of the proposed algorithm is compared numerically with that of the existing IMM algorithm for noisy system identification. Based on the numerical analysis, the proposed algorithm is applied to target tracking with a large sampling period for performance comparison with the existing IMM.

• 농약과학회지
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• 제5권3호
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• pp.1-11
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• 2001

신규 제초제 작용점의 발굴은 유전체학과 조합화학 등 새로운 기술이 등장하여 그 가능성이 높아지고 있다. 대략 $10^{30}$에서 $10^{50}$여 개의 화학물질의 합성이 가능하고 50,000여 개의 식물 유전자 지도가 완성되어 이들의 조합으로 새로운 제초제의 작용점 발굴 가능성이 높아지게 될 것이다. 즉, 고등식물이 가지고 있는 50,000여 개의 유전자 가운데 0.1%, 1.0% 또는 10%가 신규 작용점이 된다면 50, 500, 5000개의 신규 작용점을 발견할 수 있는 것이다. 신규 제초제의 개발을 위해서는 target enzyme의 선택과 결정, 저해제의 설계, 작용점까지 도달하는 과정, 대사적인 운명 등 여러가지 요인들이 검토되어야 한다. 이러한 과정에서 가장 중요한 것은 확실한 작용점의 선택에 있다. 또한 다양한 생화학적 정보를 통하여 작용점/효소의 저해로부터 고사에 이르는 과정을 이해함은 물론 보다 강력한 저해제의 합성과 살초과정을 이해할 수 있어야 할 것이다. 그 동안에는 이미 알려진 작용점을 대상으로 신규 화합물을 합성하거나 유도체를 개발하는 것이 대부분이었지만 최근에는 antisense 기법 등을 활용하여 새로운 치사관련 작용점을 찾아내는데 잠재력과 가능성을 확대시켜주고 있다. 새로운 치사관련 작용점을 발굴한 후에는 대상효소의 화학적, 생화학적 기능과 단백질의 구조를 분석하여 강력한 저해제를 설계하는데 활용하게 될 것이다. 치사관련 돌연변이체와 antisense 기법을 활용하고, 식물 생리학적 반응을 기초로 하여 리드화합물을 탐색하는 것은 새로운 접근방식이며 농약 화학적 특성을 갖는 효소 저해제들의 합성은 크게 6가지로 할 수 있다. 공통특이시얀 기질 유사체 합성, affinity labels, 자살기질체, 반응중간산물, 그리고 extraneous site inhibitors 등을 들 수 있다. 이와 같은 방법으로 후보화합물이 선발된다 하여도 실제식물에 처리하여 흡수, 이행, 대사 등에 관한 시험이 반드시 이루어져야 새로운 제초제를 탄생시킬 수 있다. 또한 약물의 전달과정과 무독화작용을 통하여 pro-herbicide에 대한 연구를 진행하게 될 것이며, 마지막으로 잡초와 작물간의 선택성이 고려되어야 효소 측이적 접근방식에 의한 신규 선택성 제초제의 개발이 성공할 수 있는 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 춘계학술대회 논문집
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• pp.7-14
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• 2006

Detection and identification of targets from remotely sensed imagery are of great interest for civilian and military application. This paper presents an algorithm for target detection in high spatial resolution imagery based on the spectral and the dimensional characteristics of the reference target. In this algorithm, the spectral and the dimensional information of the reference target is extracted automatically from the sample image of the reference target. Then in the entire image, the candidate target pixels are extracted based on the spectral characteristics of the reference target. Finally, groups of candidate pixels which form isolated spatial objects of similar size to that of the reference target are extracted as detected targets. The experimental test results showed that even though the algorithm detected spatial objects which has different shape as targets if the spectral and the dimensional characteristics are similar to that of the reference target, it could detect 97.5% of the targets in the image. Using hyperspectral image and utilizing the shape information are expected to increase the performance of the proposed algorithm.

• 대한원격탐사학회지
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• 제22권1호
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• pp.41-47
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• 2006

Detection and identification of targets from remotely sensed imagery are of great interest for civilian and military application. This paper presents an algorithm for target detection in high spatial resolution imagery based on the spectral and the dimensional characteristics of the reference target. In this algorithm, the spectral and the dimensional information of the reference target is extracted automatically from the sample image of the reference target. Then in the entire image, the candidate target pixels are extracted based on the spectral characteristics of the reference target. Finally, groups of candidate pixels which form isolated spatial objects of similar size to that of the reference target are extracted as detected targets. The experimental test results showed that even though the algorithm detected spatial objects which has different shape as targets if the spectral and the dimensional characteristics are similar to that of the reference target, it could detect 97.5% of the targets in the image. Using hyperspectral image and utilizing the shape information are expected to increase the performance of the proposed algorithm.

• 한국약용작물학회:학술대회논문집
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• 한국약용작물학회 2012년도 심포지엄 및 춘계학술발표회
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• pp.1-2
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• 2012

• 한국군사과학기술학회지
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• 제21권4호
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• pp.508-519
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• 2018

This paper concerns on stabilization control of a gyro-stabilized 2-axes gimbal system which is mounted on a moving vehicles such as automobiles, armored vehicles, ships, flying vehicles, etc. A target image acquisition system is attached on the inner gimbal, and the gimbal systems are required to retain high stabilization accuracy in the absolute coordinate in order to provide fine target image while vehicle is moving. The stabilization control performance is hardly depended upon disturbance rejection ability of control, and disturbance feedforward compensation is effective because feedforward compensation reduce the amount of disturbance before the disturbance disturbs the systems. This paper suggests an experimental method which can estimate system parameters and disturbance torques by using 3-axes accelerometer mounted on the inner gimbal. Furthermore, a simple disturbance identification method which can be applied to any slanted base conditions has been suggested to identify mass unbalance vector and friction torques of each gimbal simultaneously. By using the estimated parameters, a feedforward compensation has been applied to the gyro-stabilized 2-axes gimbal system. The experimental results showed that the feedforward compensation based on the identification method suggested is effective to improve stabilization performances.

• 아태비즈니스연구
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• 제9권4호
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• pp.201-221
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• 2018

The purpose of this study is to investigate the relationship between association of a company's CSV activity and association of corporative competence and consumers' self-brand connection. The study examine how consumer self-brand connection affect self-identification and corporate identification as well as how these factors influenced on brand loyalty. The paper attempts to examine authenticity of CSV activity and product plays a moderating role when association of CSV and authenticity of product affects self-brand connection. a total of 700 consumers who have experience with the target company and products. A target company was selected by investigates. The company is one manufactures as well as implements CSV activities as a means of ethical management. The results indicated that CSV association and corporative competence are closely related to the self-brand connection. Such attitude in turn affected the consumers' formation of self-and corporate-identification and brand loyalty. Authenticity of CSV activity and product was proven to play a moderating variables for brand loyalty and perception of company.