• 한국음향학회:학술대회논문집
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• 한국음향학회 2004년도 춘계학술발표대회 논문집 제23권 1호
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• pp.81-84
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• 2004

In this paper, we propose a virtual sound localization algorithm which improves the sound localization accuracy and sound color preservation for two channel and multi-channel surround speaker layouts. In conventional CPP laws, the sound direction is different from the panning angle and the sound color is different from real sound source especially when the speakers are spread out widely. To overcome this drawback, we design a virtual sound localization algorithm using directional psychoacoustic criteria (DPC) and sound color compensator (SCC). The analysis results show that in the case of the proposed system, the sound direction is the same as the panning angle in the audible frequency range and the sound color is less deviated from a real sound source than the conventional CPP law. In addition, its performance is verified by means of subjective tests using a real sound source.

• 한국컴퓨터정보학회논문지
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• 제10권1호
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• pp.181-188
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• 2005

Chinese Postman Problem(CPP)는 주어진 네트워크에서 모든 에지나 아크를 적어도 한번씩 경유하는 최단 경로를 찾는 문제이다. 혼합네트워크에서의 CPP(MCPP)는 기존의 CPP를 일반화시킨 문제로 현실 세계에서 많은 응용 부분들을 가지고 있으며, MCPP는 NP-Complete로 알려져 있다. 본 논문에서는 Floyd 알고리즘을 이용하여 구성된 가상 아크를 이용하여 혼합네트워크를 대칭네트워크로 변환 후 근사최적해를 탐색하는데 효율적인 유전자 알고리즘을 적용한다. 본 논문에서는 유전자 알고리즘에 적용하기 위해 경로 문자열과 에지, 아크를 구분하기 위한 문자열의 쌍으로 구성된 염색체 구조, 인코딩 및 디코딩 방법을 제안한다. 또한 보정 방법으로 Power Law 보정 방법과 Logarithmic 보정 방법을 사용하고 비교 분석하였다 본 논문에서는 기존의 MIXED2 알고리즘과 제안된 유전자 알고리즘과의 성능 비교를 하였다. 에지가 많은 혼합 네트워크인 경우 제안된 유전자 알고리즘이 좋은 결과를 얻고, Logarithmic 보정 방법 보다 Power Law보정 방법을 사용할 경우 좋은 결과를 얻을 수 있음을 알 수 있었다.

• 농업과학연구
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• 제45권1호
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• pp.114-119
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• 2018

This study analyzed the trends of patents for unmanned technology used in agriculture. The target countries for this survey of patent data were Korea, the USA and Japan as well as the countries in Europe. The indices used in this study to analyze the patents were the CPP (Cites Per Patent), PII (Patent Impact Index), and PFS (Patent Family Size). The total effective patents for unmanned technology used in agriculture were 1,080 cases. The number of patents in the USA, Japan, Europe, and Korea were 541, 326, 128 and 85 cases, respectively. Among the total effective patents, the evaluation scores for selected important patents were calculated by applying commonly used weights to each index, and the top 10 patents were selected as important patents. The results showed that all the top ten patents are owned by the United States and that the United States is an advanced country in the field of unmanned technology used in agriculture. The evaluation score of the important patents using the existing method was biased toward the PII index among the three patent evaluation standards, and the effects of the number of claims and the PFS were relatively small. Therefore, a reliable patent analysis in the field of unmanned technology used in agriculture needs to reflect the overall evaluation factors taking into consideration the scope of the evaluation factors.