• Journal of Advanced Navigation Technology
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• v.21 no.5
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• pp.485-490
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• 2017

In this paper, we propose a technique for high speed removal of sea-fog using a graphic processor. This technique uses a host processor(CPU) and several graphics processors(GPU) capable of parallel processing to remove sea-fog from the input image. In the process of removing sea-fog, the dark channel extraction, the maximum brightness channel extraction, and the calculation of the transmission are performed by the host processor, and the process of refining the transmission by applying the bidirectional filter is performed in parallel through the graphic processor. To verify the proposed parallel processing method, three NVIDIA GTX 1070 GPUs were used to construct the verification environment. As a result, it takes about 140ms when implemented with one graphics processor, and 26ms when implemented using OpenMP and multiple GPGPUs. The proposed a parallel processing algorithm based on the graphics processor unit can be used for safe navigation, port control and monitoring system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1776-1782
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• 2010

The interferometric fiber optic gyroscopes (FOGs) are well known as sensors of rotation, which are based on Sagnac effect, and have been under development for a number of years to meet a wide range of performance requirements. This paper describes the development of open-loop FOG and digital signal processing techniques implemented on FPGA. Our primary goal was to obtain intermediate accuracy (pointing grade) with a good bias stability (0.22deg) and scale factor stability, extremely low angle random walk (0.07deg) and significant cost savings by using a single mode fiber. A secondary goal is to design all digital FOG signal processing algorithms with which the SNR at the digital demodulator output is enhanced substantially due to processing gain. The Cascaded integrator bomb(CIC) type of decimation filter only requires adders and shift registers, low cost processors which has low computing power still can used in this all digital FOG processor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.153-156
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• 2009

The interferometric fiber optic gyroscopes (FOGs) are well known as sensors of rotation, which are based on Sagnac effect, and have been under development for a number of years to meet a wide range of performance requirements. This paper describes the development of open-loop FOG and digital signal processing techniques implemented on FPGA. Our primary goal was to obtain intermediate accuracy (pointing grade) with a good bias stability ($0.22^{\circ}/hr$) and scale factor stability, extremely low angle random walk ($0.07^{\circ}/\sqrt{hr}$) and significant cost savings by using a single mode fiber. A secondary goal is to design all digital FOG signal processing algorithms with which the SNR at the digital demodulator output is enhanced substantially due to processing gain. The CIC type of decimation block only requires adders and shift registers, low cost processors which has low computing power still can used in this all digital FOG processor.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2402-2404
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• 2001

산성안개에 의한 환경 오염이 점차 증가하면서, 산성 안개에 대한 관심이 증대되고있다. 이러한 안개는 늦은 밤이나 새벽에 빈번하게 발생하므로 안개가 발생하고, 걷힐 때마다 사람이 일일이 수집하고 측정하는 것은 비효율적인 작업이다. 본 연구에서는 장기간의 실제 환경실험을 통하여 안개와 비를 구별하는 최적의 안개인식센서모듈을 개발하였으며 또한 마이크로 프로세서와 무선송수신모듈 이용하여 안개의 발생과 소멸을 자동으로 인식하고 수집된 데이터를 원격으로 컴퓨터와 연결하여 자동으로 안개채취에 관련된 자료들을 저장할 수 있도록 개발하였다. 본 연구의 결과로 특히 최근 문제시되고 있는 산성 안개의 데이터 수집이 용이해 지고, 주로 산악지역에서 많이 발생하는 안개를 원격지에서 측정이 가능해져 환경영향평가분야의 실제작업에 보다 편리함과 정확성을 제공할 것으로 기대된다.