• Journal of Environmental Policy
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• v.10 no.1
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• pp.93-127
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• 2011

Investment on technology to obtain green energy is prevailing all over the world. The technology development project is more likely to involve multiple sub-projects, each of which is related to develop elementary technology when the project is larger and nation-wide. However, the methodologies identifying optimal combination of elementary technologies among the candidates have been very few. Hence, the purpose of this paper is to propose a novel methodology which provides an optimal combination of green energy technologies. To do so, to-be developed technologies are clustered with multiple categories. Among the technologies, based on Delphi method, the experts select a representative technology, which is indispensible to the green energy system and has the highest connectivity with other elementary technologies. Then the methodology selects an elementary technology from each technology category based on two metrics: Relatedness with representative technology and project risk. To show the feasibility of the proposed methodology, we applied the methodology to an actual windmill development project.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.255-262
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• 2007

This paper proposes an enhanced skin color-based detection method to find a region of human face in color images. The proposed detection method combines three color spaces, RGB, $YC_bC_r$, YIQ and builds color union histograms of luminance and chrominance components respectively. Combined color union histograms are then fed in to the back-propagation neural network for training and Levenberg-Marquadt algorithm is applied to the iteration process of training. Proposed method with Levenberg-Marquadt algorithm applied to training process of neural network contributes to solve a local minimum problem of back-propagation neural network, one of common methods of training for face detection, and lead to make lower a detection error rate. Further, proposed color-based detection method using combined color union histograms which give emphasis to chrominance components divided from luminance components inputs more confident values at the neural network and shows higher detection accuracy in comparison to the histogram of single color space. The experiments show that these approaches perform a good capability for face region detection, and these are robust to illumination conditions.

• Communications of Mathematical Education
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• v.20 no.3 s.27
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• pp.373-389
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• 2006

The purpose of this study is to compare the way of proving using combinational proof with the way of proving presented in the existing math textbook in the proof of combinational equation and to classify the problem-solving into some categories using combinational proof in combinational equation. Corresponding with these, this study suggests the application of combinational equation using combinational proof and the fundamental material to develop material for advanced study.

• Industry Promotion Research
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• v.5 no.1
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• pp.35-45
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• 2020

Korea's social cooperatives were enacted by law in December 2012. However, it is in the process of being settled and has not been established institutionally. So social cooperatives are failing. The purpose of this study is to reduce these failures. To this end, this study distinguished between co-operatives and social co-operatives. Also, the characteristics and concepts were identified. That is why we want to help our social cooperatives in Korea. The results based on the literature research are as follows. First, in order for domestic social co-operatives to be sustainable, the seven principles of co-operatives must be observed. In particular, the sixth principle is important. It is important to form a social cooperative association and to communicate with local cooperatives. Their communication is less likely to fail because they can share management support information, education, promotion, and strategies. Second, there is a need for a plan that can be applied not only to the government but also to general enterprises in order to support social co-operatives. Third, related policies of the government and the private sector should be designed and managed in an integrated manner to promote social cooperatives. Fourth, public relations should be promoted through campaigns to inform the public that the meaning of social cooperatives is for the public good. In addition, the government needs to build a program that fosters professionals who can foster social co-operatives. In conclusion, it is meaningful that this study suggests possible ways to develop social co-operatives in Korea, and provides support to the Korean government.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.494-496
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• 2020

기계학습 모델을 이용한 분류 및 회귀 문제해결에는 다양한 전처리 알고리즘 및 기계학습 모델이 활용된다. 하지만 합리적인 성능을 위해서는 주어진 데이터에 따라 적절한 알고리즘 조합에 대한 탐색 및 최적화 과정이 펄수적이다. 본 논문에서는 최적의 알고리즘 조합을 탐색하는 방법 중 랜덤 탐색과 유전 알고리즘 탐색 방법을 구현하고 8가지 데이터에 대한 성능 비교를 통해 여러 기계학습 모델을 고려하는 탐색 방법의 필요성을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.109-112
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• 2006

이미지 모자이크 기법은 한 번에 촬영 할 수 없는 큰 배경이나 사물을 부분적으로 촬영 한 후 이들을 조합하여 전체 배경이나 사물을 합성하는 기술이다. 이 기술은 주로 지형을 촬영한 항공사진을 조합하여 전체 영상을 얻는 용도로 사용되어왔다. 본 연구에서는 일반적인 스틸사진의 조합이 아닌 동영상으로 촬영된 영상물로부터 전체 배경을 합성하는 방법에 대한 것이다. 이를 위하여 먼저 비디오 프레임간의 공통적인 특징 점들을 추출하고 일치되는 점들을 찾아내었다. 이로부터 두 프레임간의 상대적인 좌표를 구한 후 이를 저장하였다. 마지막으로 합성 단계에서는 저장된 상대 좌표로부터 부분 이미지를 연결하여 전체 이미지를 구하는 방법을 제안하였다. 제안된 방법은 근접 촬영이 필수인 협소공간의 고대 구조물의 육안 검사를 소형로봇 등의 원격 이동체에 실린 카메라로 수행하기 위한 용도에 응용될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.635-638
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• 2009

컴퓨터 디스플레이를 위한 한글 표현 방법에는 한글 음절의 초성, 중성, 종성 각각에 코드를 부여하고, 이를 조합하여 1 음절을 2 바이트로 처리하는 표준 조합형 코드와 각 음절마다 2 바이트 코드를 부여하는 표준 완성형 코드, 그리고 모든 국가의 언어를 표현하기 위한 만국 공통의 문자부호 체계인 유니코드 방식이 있다. 일반적으로 임베디드 시스템은 PC에 비해 상대적으로 속도가 느리고 저장공간 또한 제한되어 있으나 그 용도에 따라 PC에 필적하는 성능을 가지는 경우도 있다. 따라서 화면에 한글을 출력할 경우, 임베디드 시스템의 자원 환경에 맞는 적합한 방식을 채택해야 한다. 본 논문은 시랩시스(CLabSys)사의 3.5" TFT LCD 키트인 LP35가 부착된 LN2440SBC 임베디드 보드(S3C2440A CPU, 400MHz)의 TFT LCD 드라이버 제작을 위한 초기화 방법과 픽셀 디스플레이 함수를 소개한다. 또한 픽셀 디스플레이 함수와 비트맵 폰트를 사용하여 표준 조합형, 표준 완성형, 유니코드 방식의 3가지 방식에 대한 한글 출력 처리 속도와 필요 메모리 용량을 비교한다. 시험 결과에 따르면, 표준 조합형은 적은 메모리 공간을 차지하지만 초성, 중성, 종성을 조합하는데 시간이 소요되고, 완성형은 조합형에 비해 출력 처리 속도는 빠르나 모든 음절의 저장을 위해 비트맵 폰트의 용량이 크며, 유니코드는 비트맵 폰트의 용량은 가장 크지만, 국가 간 언어의 호환성을 보장하고 출력 속도 또한 세 가지 방식 중 가장 빠른 것으로 나타났다.

• Korean Journal of Environmental Agriculture
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• v.27 no.3
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• pp.217-224
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• 2008

To obtain optimum configuration, depth and load of constructed wetlands(CWs) for treating of hydroponic waste solution(HWS) which was produced in greenhouses, the study was conducted with 4 kinds of combined systems such as Vertical flow(VF)-Horizontal flow(HF), VF-VF, HF-VF and HF-HF CWs. In four configurations of CWs, the treatment efficiency of pollutants from HWS under depth of HF and VF beds, HWS loading and HWSs were investigated. Removal rate of pollutants under different depth of VF and HF in 2-stage hybrid CWs was in the order of 50 cm < 70 cm regardless of CWs configuration. Removal rate of pollutants under HWS loading in 2-stage hybrid CWs was in the order of $150L\;m^{-2}\;day^{-1}{\fallingdotseq}300L\;m^{-2}\;day^{-1}\;>\;450L\;m^{-2}\;day^{-1}$. The optimum depth and HWS loading were 70 cm and $300L\;m^{-2}\;day^{-1}$ in four configurations of CWs, respectively. Using this optimum condition, for various HWSs (cucumber, paprika and strawberry HWS), removal rate of pollutants in HF-HF CWs was higher than that in HF-VF CWs. Optimum configuration of 2-stage hybrid CWs for treating hydroponic waste solution in greenhouses was found out to be HF-HF CWs. Therefore, under the optimum conditions, removal rate of BOD, COD, SS, T-N and T-P in HF-HF CWs were 84, 81, 84, 51 and 93%, respectively.

• Food Science and Preservation
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• v.15 no.1
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• pp.88-93
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• 2008

This paper focused on the detection of the genetically modified soybean (Glycine max L. MERRILL) samples to search for the speedy analysis methods. We have identified the PCR (polymerase chain reaction) assay with a newly developed technique called DHPLC (denaturing high performance liquid chromatography) to screen the GMO in soybean. The DHPLC is i1s ability to directly detection specific sequences of DNA by using column. With these characteristics. the DHPLC assay had the advantage of simplicity, rapidty could obtain result within 20 minutes. Whereas $15{\times}10^{-4}ng/{\mu}L$ concentration could be detected with the PCR analysis, $15{\times}10^{-5}ng/{\mu}L$ concentration could be detected with the DHPLC method. Therefore, DHPLC method was considered to be a simple, fast and sensitivity screening method rather than PCR analysis for GMO detection in soybean.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.345-353
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• 2010

A general solution in global self-position location of robot is to generate multiple hypothesis in self-position of robot, which is to look for the most positive self-position by evaluating each hypothesis based on features of observed landmark. Markov Localization(ML) or Monte Carlo Localization(MCL) to be the existing typical method is to evaluate all pairs of landmark features and generated hypotheses, it can be said to be an optimal method in sufficiently calculating resources. But calculating quantities was proportional to the number of pairs to evaluate in general, so calculating quantities was piled up in wide environments in the presence of multiple pairs if using these methods. First of all, the positive and promising pairs is located and evaluated to solve this problem in this paper, and the newly locating method to make effective use of calculating time is proposed. As the basic method, it is used both RANSAC(RANdom SAmple Consensus) algorithm and preemption scheme to be efficiency method of RANSAC algorithm. The calculating quantity on each observation of robot can be suppressed below a certain values in the proposed method, and the high location performance can be determined by an experimental on verification.