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강석천 ( Suk-chen Kang ),황인택 ( Inteck Whoang ),최광남 ( Kwang Nam Choi ) 한국인터넷정보학회 2009 인터넷정보학회논문지 Vol.10 No.4
본 논문에서 우리는 위성 영상에 대하여 객체를 지역화한 접근을 제안한다. 우리의 방법은 서술 벡터에 기반한 특징 정합방법이다. 객체를 지역화하는 방법은 SIFT(Scale Invariant Feature Transform)를 적용시킨다. 먼저, 위성영상의 키포인트를 찾고, 키포인트의 서술 벡터를 일반화한다. 그리고 서술 벡터간에 유사성을 측정하여 키포인트를 매칭시킨다. 마지막으로, 키포인트의 인접 픽셀값에 가중치를 주어 객체에서 위치를 결정한다. SIFT를 이용한 이 실험은 다양한 스케일과 어파인 변환에 대해 좋은 결과를 산출하였다. 본 논문에서 제안된 방법은 구글 어스의 위성영상을 사용하였다. In this paper we propose an approach for localizing objects in satellite images. Our method exploits matching features based on description vectors. We applied Scale Invariant Feature Transform (SIFT) to object localization. First, we find keypoints of the satellite images and the objects and generate description vectors of the keypoints. Next, we calculate the similarity between description vectors, and obtain matched keypoints. Finally, we weight the adjacent pixels to the keypoints and determine the location of the matched object. The experiments of object localization by using SIFT show good results on various scale and affine transformed images. In this paper the proposed methods use Google Earth satellite images.
Development of energy management system using neural network for power electric system
김성완,강석천,손민기,전현민 한국마린엔지니어링학회 2022 한국마린엔지니어링학회지 Vol.46 No.6
With the international community's efforts to reduce carbon dioxide, the technology to improve the energy efficiency of ships has been significantly advanced owing to the development of propulsion and power systems. Among them, the power manage-ment system in the electric propulsion system, which is a eco-friendly technology, has been transformed to an energy management system(EMS) that integrates the battery management system or green technologies to improve system efficiency. The application of EMS can improve the efficiency of the power system by applying this technology not only to the electric propulsion system but also to the power generation system in merchant ships using the conventional direct mechanical propulsion system. Optimum control of the power generation source according to the rule-based strategy, including the load and state of charge of the battery, referring to the designer's intentions, is presented in this study. The neural network controller logic is developed, and the stability of the control system is analyzed using Matlab/Simulink based on various environments. As a test result, according to the step-by-step changes in load and battery status, the designed learning value shows a stable generator output command value in all operation areas and a stable generator optimal control output according to various conditions.