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유호준,김영길,Yu, Ho-Jun,Kim, Young-Kil 한국정보통신학회 2008 한국정보통신학회논문지 Vol.12 No.4
SAW Device는 필터이외에도 각종 물리 센서나 화학센서 혹은 ID Tag로 다양한 분야로 활용범위가 확대됨에 따라 다양한 SAW Device를 사용하기 위한 플랫폼이 요구된다. 현재 SAW ID나 Sensor는 많은 발전을 해왔지 만 SAW Sensor를 활용 할 수 있는 플랫폼의 발전은 미흡하기 때문에 본 논문에서는 ID Tag 나 Sensor를 비롯한 여러 SAW Sensor를 보다 편리 하게 활용할 수 있는 플랫폼에 대하여 연구 하였다. 본 논문에서 제안하는 플랫폼은 SAW Device를 인식 할 수 있는 RF 모듈과 SAW Device의 응답신호를 처리 할 수 있도록 고성능 프로세서를 이용한 매인 모듈로 구성하였다. 매인 모듈에서는 고성능 프로세서를 이용함으로서 GUI 환경 기반의 플랫폼을 구현하여 사용자들이 SAW Device에서 수집된 정보를 보다 편리하고 알아보기 쉽게 사용할 수 있도록 설계하였다. 본 논문에서 사용한 플랫폼은 ARM9 코어의 프로세서를 기반의 플랫폼으로 Windows Embedded CE 6.0 OS를 사용하여 사용자에게 더욱 편리한 인터페이스를 제공할 수 있도록 하고, 개발자들에게는 센서를 활용한 다양한 어플리케이션을 보다 쉽게 적용할 수 있도록 하였다. As the practical range of SAW Device extended into various fields including physical sensor, chemical sensor and ID Tag, the platform for various SAW Devices is required more than ever. While SAW ID or Sensors advanced remarkably, the development of platform which applies to SAW Sensor left much to be desired. Therefore this paper represents the SAW platform in order to use SAW ID such as ID Tag or Sensors more conveniently. The SAW platform consists of a RF module which can recognize SAW ID and a main module which has a hish performance processor in order to process the response signal of SAW ID. The main module which has a high performance processor is designed by GUI environmental type to ensure that users are able to use the platform more easily. In this paper, the SAW platform, which is based on ARM9 core processor, used Windows Embedded CE 6.0 OS which brings friendly interface to users. Also the developers can make less effort to design various applications with sensors.
Morphological Dune Mapping in Shallow Alluvial Stream Using UAV-based Hyperspectral Images
유호준,김동수,권영화 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
Characterizing morphological features in shallow streams such as dunes and ripples is vital to studies on fluvial geomorphology and in-stream habitat assessments of stream ecology. The paper aimed to examine the feasibility of a conventional hyperspectral method called linear optimal band ratio analysis for capturing the detailed morphologies in shallow small streams, allowing the identification of ripples and dunes. The present study involved a dedicated field experiment at the Gam stream, which is a tributary of the Nakdong River, South Korea. An unmanned aerial vehicle based hyperspectral image was obtained with a spatial resolution of <10 cm and developed an optimal depth–band ratio rating by densely scattered in situbathymetry measurements with a portable Real Time Kinematic Global Positioning System. The derived hyperspectral bathymetric map with a 7 cm spatial resolution successfully captured the detailed bed morphology, where dunes with sizes of 1.5 m were clearly identifiable. The correlation with depth measured by RTK-GPS was found to be 0.956, with Root Mean Square Error of 0.033 meter. The research confirmed that the conventional linear OBRA used for low-altitude UAV-based hyperspectral images can capture morphological features in shallow streams with a high spatial resolution.