• 한국약용작물학회지
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• 제10권1호
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• pp.1-4
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• 2002

본 연구는 헛개나무의 광합성 효율증진을 위한 기상환경 조건을 규명하여 재배적지의 선정과 재배관리에 대한 기초적 자료를 제공하고자 광도와 온도, 그리고 $CO_2$의 농도에 대한 광합성과 증산량을 조사하였다. 광 보상점은 $2.4\;{\mu}mol\;m^{-2}\;s^{-1}$이었고, 포화점은 $1033\;{\mu}mol\;m^{-2}\;s^{-1}$이었다. 광도 $100\;{\mu}mol\;m^{-2}\;s^{-1}$에서 광합성의 최적온도는 $25^{\circ}C$이었다. 이산화탄소 보상점은 67 vpm이었고, 포화점은 707 vpm이었다. 증산량은 광도가 $1750\;{\mu}mol\;m^{-2}\;s^{-1}$까지 그리고 온도가 $18^{\circ}C$에서 $36^{\circ}C$까지 높아질수록 $2\;mmol\;m^{-2}\;s^{-1}$와 $4\;mmol\;m^{-2}\;s^{-1}$정도로 각각 증가하였으나 이산화탄소 농도가 21 vpm에서 800 vpm으로 높아질 때는 감소하는 경향이었다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2009년도 정기 학술발표대회
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• pp.164.1-164.1
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• 2009

• 대한수학회논문집
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• 제25권2호
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• pp.207-214
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• 2010

In this paper, a generalized variational inequality problem is considered. An iterative method is studied for approximating a solution of the generalized variational inequality problem. Strong convergence theorem are established in a real Hilbert space.

• 한국수자원학회논문집
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• 제33권S1호
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• pp.1009-1014
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• 2000

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2006년도 춘계학술논문발표회 논문집
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• pp.335-340
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• 2006

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제17권4호
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• pp.373-388
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• 2010

We introduce mixed cubic-quartic functional equations. And using the fixed point method, we prove the generalized Hyers-Ulam stability of cubic-quartic functional equations on random normed spaces.

• East Asian mathematical journal
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• 제25권1호
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• pp.1-10
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• 2009

In this paper, we prove some common fixed point theorems of compatible mappings under the generalized contractive type in metric spaces and also give some examples to illustrate our main theorems. This results extend the results of several authors.

• Structural Engineering and Mechanics
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• 제62권6호
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• pp.709-717
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• 2017

This paper develops a two-stage method for structural damage identification by using modal data. First, the Residual Force Vector (RFV) is introduced to detect any potentially damaged elements of structures. Second, data of the frequency domain are used to build up the objective function, and then the Imperialist Competitive Algorithm (ICA) is utilized to estimate damaged extents. ICA is a heuristic algorithm with simple structure, which is easy to be implemented and it is effective to deal with high-dimension nonlinear optimization problem. The advantages of this present method are: (1) Calculation complexity can be decreased greatly after eliminating many intact elements in the first step. (2) Robustness, ICA ensures the robustness of the proposed method. Various damaged cases and different structures are investigated in numerical simulations. From these results, anyone can point out that the present algorithm is effective and robust for structural damage identification and is also better than many other heuristic algorithms.

• Structural Engineering and Mechanics
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• 제60권5호
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• pp.891-902
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• 2016

The beam structure with breathing cracks subjected to harmonic excitations was modeled by FEM based on Euler-Bernoulli theory, and a piecewise dynamical system was deduced. The precise integration method (PIM) was employed to propose an algorithm for analyzing the dynamic responses of the deduced system. This system was first divided into linear sub-systems, between which there are switching points resulted from the breathing cracks. The inhomogeneous terms due to the external excitations were tackled by introducing auxiliary variables to express the harmonic functions, hence the sub-systems are homogeneous. The PIM was then applied to solve the homogeneous sub-systems one by one. During the procedures, a predictor-corrector algorithm was presented to determine the switching points accurately. The presented method can provide solutions with an accuracy to a magnitude of $10^{-12}$ compared with exact solutions obtained by the theories of ordinary differential equations. The PIM results are much more accurate than Newmark ones with the same time step. Moreover, it is found that the PIM can maintain a high level of accuracy even when the time step increases within a relatively wide range.

• 대한임베디드공학회논문지
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• 제9권5호
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• pp.269-276
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• 2014

In recent, autonomous navigation techniques to avoid obstacles have been studied by using unmanned aircraft vehicles(UAVs) since the increment of UAV's interest and utilization. Particularly, autonomous navigation based UAVs are utilized in several areas such as military, police, media, and so on. However, there are still some problems to avoid obstacle when UVAs perform autonomous navigation. For instance, the UAV can not forward in the corner of corridors even though it utilizes the improved vanish point algorithm that makes an autonomous navigation system. Therefore, in this paper, we propose an obstacle avoidance technique based on immune algorithm for autonomous navigation of Quadrotor. The proposed algorithm is consisted of two steps such as 1) single color discrimination and 2) multiple color discrimination. According to the result of experiments, we can solve the previous problem of the improved vanish point algorithm and improve the performance of autonomous navigation of Quadrotor.