• Title/Summary/Keyword: GP센터

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Analysis on Vehicle Tracking Error due to Radio Refraction (전파굴절에 의한 비행체 추적오차 분석)

  • Oh, Chang-Yul;Lee, Hyo-Keun;Oh, Seung-Hyeub
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.11A
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    • pp.1078-1084
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    • 2010
  • The tracking performance of a big parabola tracking antenna system for tracking and receiving of the signal from the vehicle is impacted by many factors of the internal and the external of the system. In this paper, we analyze the tracking error due to the radio refraction in the application of the tracking and positioning of the vehicle by using radio frequency. The real measurement data are used for the analysis which had been acquired by using GPS and the tracking systems of C- and S-band frequencies in NARO Space centre. To verify the correlation between the tracking errors measured and the radio refraction, we review the error factors and the accuracies of the tracking systems, and the characteristics of the refractivity. The analysis shows that there are angular errors which are due to the radio refraction and not to be neglected, compared to the accuracies of the tracking systems, in case of low elevation angle less than 10 degrees. Also, the tracking errors depend on the target altitude as well as the elevation angle for the case of the target in the troposphere. It is recommended to correct the tracking angle considering the target altitude and elevation angle for the precise target positioning.

An Implementation of Travel Information Service Using VoiceXML and GPS (VoiceXML과 GPS를 이용한 여행정보 서비스의 구현)

  • Oh, Jae-Gyu;Kim, Sun-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.6
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    • pp.1443-1448
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    • 2007
  • In this paper, we implement a distributed computing environment-based travel information service that can use web(internet) and speech interface at the same time and can apply location information, using voice and web browser-based VoiceXML and GPS, to escape the limitations of traditional web(internet)-based travel information services. Because of IVR(Interactive Voice Response) of traditional call center has operated to a pre-installation scenario, it takes much a service time and has the inconveniences that must repeat speech recording according to the revised scenarios in case change response contents. However, suggested VoiceXML and GPS-based travel information service system has advantages that reorganization of system setups is easy, because it consists of the method to update server after make individual conversation scenarios by file format(document), and can provide usefully various travel information in environmental restriction conditions such as the back regions environment, according as our prototype find user's present location using GPS information and then provide various travel information service by this information.

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Automatic Installation and Verification of Ground Control Points for Practical Application of Drone-based Surface Image Velocimeter (드론 기반 표면영상유속계의 실용적 적용을 위한 자동 표정점 설치와 검증)

  • Hwang, Jeong-Geun;Yu, Kwonkyu;Bae, In Hyuk;Lee, Han Seung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.69-69
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    • 2017
  • 최근 여러 분야에서 드론에 대한 관심도가 높아짐에 따라, 하천분야에서도 다양한 연구에 드론이 활용하고 있다. 드론관련 기술의 발전으로 GPS와 같은 첨단 기술이 탑재되어 사용자에게 여러가지 정보를 제공하며, 조작 또한 간단하여 누구나 쉽게 활용할 수 있다. 그리고 무엇보다도 사람이 접근하기 힘든 지역을 쉽게 촬영할 수 있다는 큰 장점을 가지고 있다. 본 연구의 목적은 드론을 기반으로 표면영상유속측정법을 적용시켜 하천의 표면유속을 효율적으로 측정하는 것이다. 표면영상유속측정법은 카메라로 촬영된 영상을 이용하여 표면유속을 도출하기 때문에 촬영된 영상이 무엇보다도 중요하다. 하지만 드론으로 촬영된 영상들은 아무리 정지비행을 잘하더라도 필연적으로 영상에 흔들림이 존재한다. 이를 해결하기 위해 본 연구에서는 흔들린 영상에 대하여 형태 정합법에 의해 보정을 하였으며, 이는 가장 핵심적인 기술이라 할 수 있다. 형태 정합법에 의한 영상 보정 과정은 고정된 표정점을 영상에서 추적한 뒤, 기준 영상의 표정점과 보정 영상의 표정점이 일치하도록 보정하였다. 영상 보정 후 영상 처리와 분석프로그램을 통하여 유속을 도출한다. 기존의 표면영상유속측정법에서는 표정점을 설치한 후 각 표정점마다 측량을 실시하여 좌표를 측정하였다. 이는 한국건설기술연구원 안동하천실험센터와 같이 이상적인 실험을 진행할 수 있는 환경에서는 문제가 없다. 하지만 실제 하천에서 표면유속측정 시 하천의 폭, 주변 환경 등의 영향으로 측량작업에 많은 어려움이 있다. 이를 해결하기 위해 본 연구에서는 Arduino와 GPS센서를 이용하여 표정점을 구성하였다. Arduino와 GPS 센서를 이용하면 각 표정점들의 좌표를 노트북에서 실시간으로 자동으로 확인할 수 있다. GPS 센서의 측정 오차에 따라 관측 오차가 다소 존재하지만, 실제 측량을 할 때와는 비교할 수 없을 정도로 신속하게 표정점의 좌표를 구할 수 있다. 이를 바탕으로 실험 하천에 대해 적용한 결과 기존의 방법에 비하여 간편하고 빠르게 표면유속측정을 수행할 수 있었으며, 표면유속측정값 또한 만족스러운 결과를 얻을 수 있었다.

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Autonomous Path-Tracking Performance of an OmniX-Type Boat Based on Open-Source Ardupilot with RTK GPS (RTK GPS를 이용한 오픈소스 아두파일럿 기반 OmniX 보트의 자율주행 경로 추적성에 관한 연구)

  • An, Nam-Hyun;Gu, Bon-Kuk;Park, Hui-Seung;Jang, Ho-Yun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.6
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    • pp.867-874
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    • 2021
  • The IoT (Internet of Things) technology is rapidly becoming an important consideration in many engineering fields in the current 4th industrial era. In recent years, the concepts of digital shipbuilding and smart factories have been adopted as trends in shipyards. However, there is active interest in research on implementing autonomous driving in autonomous vehicles and airplanes, which is currently available in commercial form in a limited capacity. The present study is regarding the path-tracking performance of a boat to accomplish an autonomous driving mission using a flight controller (FC) and real-time kinematic (RTK) global positioning system (GPS) based on an open-source Ardupilot; an actual sea test is also performed using this system on a calm lake. The boat's mission is to evaluate the maneuverability of the self-driving process to a specific point and returning to the home position. For a given speed, the difference between the preset mission trajectory and actual operational trajectory was analyzed, and a series of studies were conducted on the applicability of the system to ships. In addition, the movements and maneuverability of the OmniX-type hull with four propellers were investigated, and the driving path-tracking performance was observed to increase by a maximum of 48%.

Detecting Surface Changes Triggered by Recent Volcanic Activities at Kīlauea, Hawai'i, by using the SAR Interferometric Technique: Preliminary Report (SAR 간섭기법을 활용한 하와이 킬라우에아 화산의 2018 분화 활동 관측)

  • Jo, MinJeong;Osmanoglu, Batuhan;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.34 no.6_4
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    • pp.1545-1553
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    • 2018
  • Recent eruptive activity at Kīlauea Volcano started on at the end of April in 2018 showed rapid ground deflation between May and June in 2018. On summit area Halema'uma'u lava lake continued to drop at high speed and Kīlauea's summit continued to deflate. GPS receivers and electronic tiltmeters detected the surface deformation greater than 2 meters. We explored the time-series surface deformation at Kīlauea Volcano, focusing on the early stage of eruptive activity, using multi-temporal COSMO-SkyMed SAR imagery. The observed maximum deformation in line-of-sight (LOS) direction was about -1.5 meter, and it indicates approximately -1.9 meter in subsiding direction by applying incidence angle. The results showed that summit began to deflate just after the event started and most of deformation occurred between early May and the end of June. Moreover, we confirmed that summit's deflation rarely happened since July 2018, which means volcanic activity entered a stable stage. The best-fit magma source model based on time-series surface deformation demonstrated that magma chambers were lying at depths between 2-3 km, and it showed a deepening trend in time. Along with the change of source depth, the center of each magma model moved toward the southwest according to the time. These results have a potential risk of including bias coming from single track observation. Therefore, to complement the initial results, we need to generate precise magma source model based on three-dimensional measurements in further research.

Hyperparameter Optimization and Data Augmentation of Artificial Neural Networks for Prediction of Ammonia Emission Amount from Field-applied Manure (토양에 살포된 축산 분뇨로부터 암모니아 방출량 예측을 위한 인공신경망의 초매개변수 최적화와 데이터 증식)

  • Pyeong-Gon Jung;Young-Il Lim
    • Korean Chemical Engineering Research
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    • v.61 no.1
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    • pp.123-141
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    • 2023
  • A sufficient amount of data with quality is needed for training artificial neural networks (ANNs). However, developing ANN models with a small amount of data often appears in engineering fields. This paper presented an ANN model to improve prediction performance of the ammonia emission amount with 83 data. The ammonia emission rate included eleven inputs and two outputs (maximum ammonia loss, Nmax and time to reach half of Nmax, Km). Categorical input variables were transformed into multi-dimensional equal-distance variables, and 13 data were added into 66 training data using a generative adversarial network. Hyperparameters (number of layers, number of neurons, and activation function) of ANN were optimized using Gaussian process. Using 17 test data, the previous ANN model (Lim et al., 2007) showed the mean absolute error (MAE) of Km and Nmax to 0.0668 and 0.1860, respectively. The present ANN outperformed the previous model, reducing MAE by 38% and 56%.

Development of Value-added Product Generation Software from Satellite Imagery: 'Valadd-Pro' (고부가 정보 추출을 위한 위성 영상 처리 소프트웨어의 개발: '발라드-프로')

  • Lee, Hae Yeoun;Park, Wonkyu;Kim, S.A.B.;Kim, Taejung;Yoon, Taehun;Shin, Dongseok;Lee, Heungkyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.3
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    • pp.91-100
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    • 1999
  • To extract value-added products from satellite images for the benefit of science and human life, the Satellite Technology Research Center at Korea Advanced Institute of Science and Technology has developed an integrated software 'Valadd-Pro'. In this paper, the 'Valadd-Pro' software is briefly introduced and its main components such as geometric correction, ortho correction and digital elevation model extraction are described. The performances of the 'Valadd-Pro' was assessed on $60km{\times}60km$ SPOT panchromatic images using ground control points from GPS measurements. Also, the height accuracy was measured by comparing our results with the $DTEDs^3$ produced by USGS and the DEM generated from the digitized countours of maps produced by the National Geographic Institute. In geometric correction, the 'Valadd-Pro' software needed fewer ground control points than a commercial software 'P' for the satisfactory results. In ortho correction, the 'Valadd-Pro' software show the similar performance to a commercial software 'P'. In digital elevation model extraction, the 'Valadd-Pro' software is two times more accurate and four times faster than a commercial software 'P'.

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Application of Drone for Analysis of 2D Pollutant Mixing in River (하천에 유입된 오염물질의 2차원 혼합 분석을 위한 드론의 활용)

  • Seo, Il Won;Baek, Donghae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.100-100
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    • 2017
  • 하천에 유입된 오염물질의 2차원 혼합거동은 하천 주흐름에 의한 이송현상과 유속 성분의 수심평균 값에 대한 공간적 편차로부터 야기되는 분산현상으로 설명 할 수 있다. 이는 3차원 이송확산 방정식으로부터 수심 적분된 2차원 이송-분산 방정식으로 수학적 유도가 가능하며, 수심방향으로 적분하는 과정에서 발생되는 농도의 분산항은 Taylor Dispersion 개념에 기초하여 종방향 및 횡방향의 2차원 분산계수로 표현된다. Fischer(1978)는 연직방향 유속분포로부터 2차원 분산계수를 추정하는 해석해를 수학적으로 유도하였으나, 실제 하천에서 정밀한 연직방향 유속분포를 계측하는 것은 많은 비용 및 노동력을 초래한다. 따라서 선행 연구자들은 2차원 혼합모형의 분산계수를 산정하고자 실험적 방법으로써 추적자실험을 수행하였다. 추적자실험은 추적자 물질을 수체에 주입한 후 농도의 변화를 관측함으로써 추적자물질이 하천에서 이송 및 분산되는 과정을 이해하는데 유용하다. 기존의 추적자실험은 고정된 위치에서 농도를 계측하여 시계열적인 농도의 변화를 관측한 후, 오염운 동결가정을 통해 종,횡방향 분산계수의 산정이 가능하지만, 오염물질 농도의 공간적 분포를 얻기에는 한계가 있다. 본 연구에서는 기존의 추적자실험법의 한계를 극복하고자 형광물질을 이용한 추적자실험을 수행함과 동시에 드론에 장착된 디지털카메라를 이용하여 항공영상을 취득 및 분석하여, 하천에 주입된 형광물질의 농도분포를 시공간적으로 추출하는 기법을 개발하고, 이를 바탕으로 오염물질의 2차원 혼합거동을 분석하였다. 본 실험은 한국건설기술연구원의 안동하천실험센터의 A3실험수로에서 수행되었으며, 실험수로는 평균 하폭 5 m, 평균 수심 0.44 m, 유량 $0.96m^3/s$의 실제 소규모 하천과 유사한 축척을 가지고 있다. 추적자물질은 Rhodamine WT 용액이 사용되었으며, 실험수로 내 설치된 15개의 형광광도계(YSI-600OMS)를 이용하여 농도를 측정하였다. 항공영상의 취득을 위해 이용된 드론은 DJI-Phantom 3 Professional 이며, 3840x2160의 해상도로 초당 30 frame의 동영상으로 취득되었다. 영상의 정합 및 좌표화를 위해 RTK-GPS를 이용하여 12개의 지상 기준점의 좌표를 취득한 후, 사영변환을 통해 영상좌표를 지상좌표로 변환하였다. 영상의 픽셀값을 농도장으로 변환하기 위해 각 RGB 밴드의 픽셀값을 통계적으로 분석하여 농도장으로 변환하였으며, 영상으로부터 얻은 농도장은 형광광도계에 의해 실측된 농도와 결정계수 0.9이상의 수준으로 정확도를 나타냈다.

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Analysis of Utilization Status about National GNSS Infrastructure Linked to Precise Positioning Service (정밀 위치결정 서비스에 연계한 국가 GNSS 인프라 활용현황 분석)

  • Park, Joon-Kyu;Jung, Kap-Yong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.2
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    • pp.401-408
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    • 2017
  • GNSS(Global Navigation Satellite System) is positioning and navigation system using satellites. Accurate positioning is possible in all regions of the world using satellite signals. In Korea, GPS was introduced in the late 1980s. GPS is used in research and work in various fields such as navigation, surveying, and GIS. Since 1995, NGII(National Geographic Information Institute) has installed and operated CORS(Continuously Operating Reference Station) for the practical use of GNSS surveying, RINEX download and VRS(Virtual Reference Station) service was provided for precise positioning. Demand for these services is explosively increasing in the field of surveying. Therefore, there is a need for research to provide good service. In this study, status of national surveying infra structure was researched focused on CORS and its services. As a results, current status of CORS and service were presented. Users of VRS service has increased greatly. In order to provide stable service and advanced surveying, it is necessary to continuously upgrade services such as providing services for various GNSS satellites and securing stability through server redundancy in the data center.