• Korean Journal of Remote Sensing
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• v.25 no.4
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• pp.367-374
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• 2009

Recently, new GIS applications such as gee portal and spatial data infrastructure are emerging. These are related to web computing techniques or methodologies based on web 2.0 paradigm, open API of portal, open source GIS, and international GIS standards which are independently on developing. The product of these applications can be realized in the linkage of those components. In this study, a case implementation concerning linkage with Google maps API and open source middleware named Deegree is carried out, and the results are discussed for open source uses in geo portal. Open source middleware supports various levels and types of OGC standards, so that it enables web publishing in the several web standard formats and data exchanges and interoperable uses between external database servers. Also the (unction extensions and the multi tier-based architecture within geo portal for specific purpose are possible.

• Korean Journal of Remote Sensing
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• v.26 no.1
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• pp.47-57
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• 2010

The aim of this study is to detect landslide using digital aerial photography and apply the landslide to landslide susceptibility mapping by artificial neural network (ANN) and geographic information system (GIS) at Jinbu area where many landslides have occurred in 2006 by typhoon Ewiniar, Bilis and Kaemi. Landslide locations were identified by visual interpretation of aerial photography taken before and after landslide occurrence, and checked in field. For landslide susceptibility mapping, maps of the topography, geology, soil, forest, lineament, and landuse were constructed from the spatial data sets. Using the factors and landslide location and artificial neural network, the relative weight for the each factors was determinated by back-propagation algorithm. As the result, the aspect and slope factor showed higher weight in 1.2-1.5 times than other factors. Then, landslide susceptibility map was drawn using the weights and finally, the map was validated by comparing with landslide locations that were not used directly in the analysis. As the validation result, the prediction accuracy showed 81.44%.

• Korean Journal of Remote Sensing
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• v.22 no.4
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• pp.285-294
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• 2006

A numerical formula that presents relationship between a point of a satellite image and its ground position is called a sensor model. For precise geolocation of satellite images, we need an error-free sensor model. However, the sensor model based on GOES ephemeris data has some error, in particular after Image Motion Compensation (IMC) mechanism has been turned off. To solve this problem, we investigated three sensor models: collinearity model, direct linear transform (DLT) model and orbit-based model. We applied matching between GOES images and global coastline database and used successful results as control points. With control points we improved the initial image geolocation accuracy using the three models. We compared results from three sensor models. As a result, we showed that the orbit-based model is a suitable sensor model for precise geolocation of GOES-9 Images.

• Korean Journal of Remote Sensing
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• v.21 no.6
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• pp.505-516
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• 2005

The Communications, Oceanography and Meteorology Satellite(COMS) will be launched in 2008. Ground processing for COMS includes the process of automatic image navigation. Image navigation requires landmark detection by matching COMS images against landmark chips. For automatic image navigation, a matching must be performed automatically However, if matching results contain errors, the accuracy of Image navigation deteriorates. To overcome this problem, we propose use of a robust estimation technique called Random Sample Consensus (RANSAC) to automatically detect erroneous matching. We tested GOES-9 satellite images with 30 landmark chips that were extracted from the world shoreline database. After matching, mismatch results were detected automatically by RANSAC. All mismatches were detected correctly by RANSAC with a threshold value of 2.5 pixels.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.15-15
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• 2017

하천의 수위와 유량 등의 수리량 자료는 치수, 이수, 환경 등에 관한 하천 계획과 관리의 기초자료로 활용된다. 따라서 체계적인 하천 관리를 위해서는 신뢰성 있는 하천 수리량 자료의 확보가 요구된다. 이에 따라 우리나라에서는 많은 하천에 수위 관측소를 설치하여 실시간 수위를 측정하고 있다. 하지만 유량의 측정은 국가하천 등 주요 대규모 하천에 국한되어 있는 실정이다. 반면에 우리나라 대부분의 홍수 피해는 중 소하천에서 발생하고 있지만, 중 소하천에 대한 수문조사는 상대적으로 매우 미진한 실정이다. 이러한 중 소하천에 대한 수리 정보 조사의 가장 큰 어려움은 대부분의 중 소하천이 지방자치단체에서 관리하고 있어 예산과 인력 지원이 어렵기 때문이다. 이에 본 연구에서는 중 소하천에 산재한 보와 같은 하천 횡단 구조물의 유량 측정 기능을 이용하고, 급성장하고 있는 영상 분석 기술과 IT를 하천공학 분야에 접목하여 중 소하천의 수리 정보를 저비용, 실시간으로 원격 측정하는 시스템을 개발하고자 하였다. 이를 위해 연구에서는 저가형 영상 장비를 이용하여 하천 횡단구조물 주변의 흐름 영상을 원격으로 확보하고, 해당 영상을 데이터베이스로 송신하는 장치인 WIA 시스템(wireless image acquisition system)을 개발하였다. 그리고 촬영된 영상을 분석하여 수위를 도출하는 영상 분석 프로그램, 수위-유량 관계 곡선(rating curve), 미계측 지점에 대한 하천 수리 정보를 계산하기 위한 HEC-RAS를 포함하는 River-HQ 시스템을 개발하였다. 개발된 WIA & River-HQ 시스템은 한국건설기술연구원 하천실험센터 내 직선 수로(실규모 하천) 구간에 대하여 정확성이 검증되었다. 이러한 WIA & River-HQ 시스템은 실제 하천에 대한 적용성과 안정성 검토를 통해 향후 중 소하천의 환경 관리와 홍수예경보 업무 등에 활용될 수 있을 것으로 판단된다.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.737-746
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• 2022

Utilizing weather independent SAR images along with machine learning based object detector is effective in robust vessel monitoring. While conventional SAR images often applied amplitude data from Single Look Complex, exploitation of polarimetric parameters acquired from multiple polarimetric SAR images was yet to be implemented to vessel detection utilizing machine learning. Hence, this study used four polarimetric parameters (H, p₁, DoP, DPRVI) retrieved from eigen-decomposition and two backscattering coefficients (γ₀, _VV, γ₀, _VH) from radiometric calibration; six bands in total were respectively exploited from 52 Sentinel-1 SAR images, accompanied by vessel training data extracted from AIS information which corresponds to acquisition time span of the SAR image. Evaluating different cases of combination, the use of polarimetric indexes along with amplitude values derived enhanced vessel detection performances than that of utilizing amplitude values exclusively.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.540-546
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• 2023

The scope of IoT use has expanded due to the development of related technologies, and various sensors have been developed and distributed to meet the demand for implementing various services. Measuring alcohol concentration using a sensor can be used to prevent drunk driving, and to make this possible, accurate alcohol concentration must be measured and safe transmission from the smartphone to the server must be guaranteed. Additionally, a process of converting the measured alcohol concentration value into a standard value for determining the level of drinking is necessary. In this paper, we propose and implement a system. Security with remote servers applies SSL at the network layer to ensure data integrity and confidentiality, and the server encrypts the received information and stores it in the database to provide additional security. As a result of analyzing the accuracy of alcohol concentration measurement and communication efficiency, it was confirmed that the measurement and transmission were within the error tolerance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1851-1858
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• 2004

The goal of this paper is to develop a production management system based on XML that exclusively applies to a production line of machine-parts. This paper aims to develop the related management modules and integrate them into the production management system based on XML technology. In terms of the implementation of the client/server database module, it develops the GUI application program that supports the communication between the subsystem that controls machine-parts and the server-side database. By developing the RPC emulator, the system remotely executes server module in the client GUI module. By developing the integration control module that integrates the independently executed modules, it controls the production management system that works as a single organic management system and by developing the POP system, it builds the information system of machine-parts performance records. This information system collects performance data through the serial port of the sensor attached to the machine-parts manufacturing machine, analyzes these data and display them in the GUI fashion, and immediately reflects them in production planning. And also it develops production management system based on XML by using XML technology.

• Journal of Environmental Impact Assessment
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• v.8 no.4
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• pp.1-12
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• 1999

The purpose of this study is to develop a Water Quality Management System(WQMS), which calculates pollutant discharge and forecasts water quality with a water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView 3.1 was used to enter or edit geographic data and attribute data, and Avenue Script was used to customize the user interface. PCI, a remote sensing software, was used to derive land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, database subsystem and modelling subsystem. The database subsystem consisted of watershed data from digital maps, remote sensing data, government reports, census data and so on. The modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model) and SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. These two subsystems were connected through a graphic display module. This system has been calibrated for and applied to Mokhyun Stream watershed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.795-804
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• 2009

An HSS(Home Subscriber Server) system requires a main-memory database on main-memory unit for the real-tine management of the subscriber information in the mobile communication service, in that the system controls not only basic data for handling calls of users, but also additional service data related to user authentication and operational data. Nonetheless, HSS-DBS system, requiring the reliability and stability, need more secure data store method and a back-up technique because the system have a long startup time and the big problem on the failures of main-memory. This paper proposes an efficient back-up replication technique, on the basis of enhancing the stability and performance of HSS system. The proposed shadowing back-up technique adopting the delayed recovery process, can help minimize the real-time back-up overloads by location registration, while the proposed backup replication method enables more stable system operations with replicating the data to remote server in real time.