• Title/Summary/Keyword: 관제석 구성

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VTS 시스템 사용자 요구사항 분석을 통한 관제장비의 최적배치 방안

  • Kim, Seok-Jae;Lee, Jeong-Jin;Jang, Eun-Gyu
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.266-268
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    • 2016
  • 우리나라는 항만운영의 효율성 및 선박 안전운항을 위하여 1993년 포항을 시작으로 전국 18개의 VTS 시스템을 설치 운영하고 있으나, 최근 선박 교통량의 증가와 더불어 해양사고의 증가 원인으로 인적요인에 대해 연구 필요성이 대두되고 있다. 특히 해상교통관제 업무는 고도의 주의력과 예측능력을 요구하므로 이를 저해하는 인적요인을 분석 및 관리할 필요성이 있다. 따라서 본 연구에서는 VTS 관제실의 근무환경에 대해 설문조사를 통한 요구사항 분석과 함께 현장조사를 시행하여 분석함으로서 VTS 관제장비 및 관제석의 최적 배치방안을 제시하여 최상의 해상교통관리 체제 구축에 대하여 고찰해 보았다.

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The Verification Test of Launch Control System Algorithms Using Automated Verification System (자동화 검증시스템을 이용한 발사관제시스템 알고리즘 검증시험)

  • An, Jae-Chel;Moon, Kyung-Rok;Oh, Il-Seok
    • Journal of the Korean Society of Propulsion Engineers
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    • v.25 no.3
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    • pp.127-137
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    • 2021
  • The launch complex(LC) is composed of various facilities. The launch control system that operates remotely those of LC spends much time and labor for developing and verifying its control algorithms. The verification of algorithms is performed by the software developer entering simulated state values based on the test procedure and checking the output result according to the algorithm flow. These verification processes should be performed repeatedly, thus the human errors are easily occurred. In this paper, an efficient automated verification method with a script test procedure is proposed to minimize human errors and shorten the verification duration. We also present the results of the algorithm verification tests for the cases of the compressed gases supply system and the electro pneumatic panel system of LC.

Real-Time License Plate Detection Based on Faster R-CNN (Faster R-CNN 기반의 실시간 번호판 검출)

  • Lee, Dongsuk;Yoon, Sook;Lee, Jaehwan;Park, Dong Sun
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.511-520
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    • 2016
  • Automatic License Plate Detection (ALPD) is a key technology for a efficient traffic control. It is used to improve work efficiency in many applications such as toll payment systems and parking and traffic management. Until recently, the hand-crafted features made for image processing are used to detect license plates in most studies. It has the advantage in speed. but can degrade the detection rate with respect to various environmental changes. In this paper, we propose a way to utilize a Faster Region based Convolutional Neural Networks (Faster R-CNN) and a Conventional Convolutional Neural Networks (CNN), which improves the computational speed and is robust against changed environments. The module based on Faster R-CNN is used to detect license plate candidate regions from images and is followed by the module based on CNN to remove False Positives from the candidates. As a result, we achieved a detection rate of 99.94% from images captured under various environments. In addition, the average operating speed is 80ms/image. We implemented a fast and robust Real-Time License Plate Detection System.

A study on optical coherence tomography system using optical fiber (광섬유를 이용한 광영상 단층촬영기에 관한연구)

  • 양승국;박양하;장원석;오상기;김현덕;김기문
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.04a
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    • pp.5-9
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    • 2004
  • In this paper, we studied the OCT(Optical Coherence Tomography) system which it has been extensively studied because of having some advantages such as high resolution cross-sectional images, low cost, and small size configuration. A basic principle of OCT system is Michelson interferometer. The characteristics of light source determine the resolution and the transmission depth. As a results, the light source have a commercial SLD with a central wavelength of 1,285 nm and FWHM(Full Width at Half Maximum) of 35.3 nm. The optical delay line part is necessary to equal of the optical path length with scattered light or reflected light from sample. In order to equal the optical path length, the stage which is attached to reference mirror is moved linearly by step motor And the interferometer is configured with the Michelson interferometer using single mod fiber, the scanner can be focused of the sample by using the reference arm. Also, the 2-dimensional cross-sectional images were measured with scanning the transverse direction of the sample by using step motor. After detecting the internal signal of lateral direction at a paint of sample, scanner is moved to obtain the cross-sectional image of 2-demensional by using step motor. Photodiode has been used which has high detection sensitivity, excellent noise characteristic, and dynamic range from 800 nm to 1,700 nm. It is detected mixed small signal between noise and interference signal with high frequency After filtering and amplifying this signal, only envelope curve of interference signal is detected. And then, cross-sectional image is shown through converting this signal into digitalized signal using A/D converter. The resolution of the OCT system is about 30$\mu\textrm{m}$ which corresponds to the theoretical resolution. Also, the cross-sectional image of ping-pong ball is measured. The OCT system is configured with Michelson interferometer which has a low contrast because of reducing the power of feedback interference light. Such a problem is overcomed by using the improved inteferometer. Also, in order to obtain the cross-sectional image within a short time, it is necessary to reduce the measurement time for improving the optical delay line.

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