• 대한원격탐사학회지
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• 제39권6_1호
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• pp.1331-1339
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• 2023

항공기상청은 국가항행계획(National ATM Reformation and Enhancement Plan, NARAE)을 지원하기 위해 NARAE-Weather 프로젝트를 통한 궤적기반 항공기상 서비스를 개발 중에 있다. 특히, 기상자료는 표준화된 형식의 디지털 데이터를 제공하므로 항공기상 데이터와 항공교통 정보와 통합하는 것이 가능하다. 따라서 본 논문에서는 수치모델 자료의 구조화를 통해 기상 정보와 비행 궤적 정보의 데이터 통합을 위한 접근 방식을 제안하였다. 구조 변환된 자료를 활용한 추출결과는 성능 측면에서 원본자료에서 추출한 결과보다 우수한 결과를 보였으며, 해당 연구를 통해 항공 운항의 안전성과 효율성을 향상시키는데 도움이 될 것이다.

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.162-169
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• 2009

The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.753-758
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• 2005

This study attempts at building an integrated GIS computing framework for evaluating space-time accessibility of an individual with the approach of time geography model. The proposed method is based on the integration of mobile GIS and object-relational spatio-temporal database. Three components are central to our system: ( i ) mobile GIS application that transmits spatio-temporal trajectory data of an individual; ( ii ) spatio-temporal database server that incorporates the time geography model; and (iii) geovisualization client that provides time geographic queries to the spatio-temporal database. As for the mobile GIS application, spatio-temporal trajectory data collected by GPS-PDA client is automatically transmitted to the database server through mobile data management middleware. The spatio-temporal database server implemented by extending a generic DBMS provides spatio-temporal objects, functions and query languages. The geovisualization client illustrates 3D visual results of the queries about space-time path. space-time prism and space-time accessibility. This study shows a method of integrating mobile GIS and DBMS for time geography application, and presents an appropriate spatio-temporal data model for evaluating space-time accessibility of an individual.

• 대한원격탐사학회지
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• 제30권1호
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• pp.13-24
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• 2014

인공위성 원격탐사 자료는 화산재 모니터링을 위한 중요한 도구로서 사용되어 왔다. 본 연구는 최근에 발생한 주요 화산폭발 사례(2008년 Chait$\acute{e}$n 화산, 2010년 Eyjafjallaj$\ddot{o}$kull 화산, 2011년 Shinmoedake 화산)를 대상으로 인공위성자료를 이용한 화산재 모니터링과 궤적분석 모델링을 수행하였다. 이를 위하여 Moderate Resolution Imaging Spectro-radiometer(MODIS) 인공위성 관측자료로부터 적외선 밝기온도차 기법을 적용하여 산출된 화산재 탐지 산출물과 HYbrid Single-Particle Lagrangian Integrated Trajectory(HYSPLIT) 모델을 이용한 전진궤적분석자료를 상호 비교하였다. 그 결과, 인공위성을 이용한 화산재 탐지 산출물은 모델링한 궤적분석 결과와 상호간에 관련성이 높게 나타났다. 이러한 결과는 인공위성 관측자료와 모델링의 통합분석자료가 화산재 감시 및 예측을 위하여 중요한 역할을 수행할 수 있는 가능성을 제시한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.270-275
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• 1993

In this paper, the arc welding robot controller using a touch sensor and a arc sensor is presented. The controller is composed of robot controller parts for moving torch, and arc welding controller for welding and tracking. In the controller, an compensated data is generated to control robot trajectory and seam tracking by the arc sensor function. The data is obtained by integration of arc current. Experimental results are presented confirming the controller performance.

• 한국항공우주학회지
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• 제50권1호
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• pp.67-74
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• 2022

일반적으로 동역학 방정식을 이용하여 항공기의 거동을 분석하기 위해서는 공기 역학적 성분이 필요하고, 이를 위해서는 진 대기속도가 필수적이다. 대기속도는 피토관과 같은 항공기의 탑재 장비를 이용하여 계측할 수 있으나, 상업용 항공기의 계측 데이터는 항공사 내규 관련 보안성 데이터를 포함할 수 있으므로 확보하기 어렵다. 일반인들이 이용할 수 있는 항적 데이터 중 하나로 방송형자동종속감시 데이터가 있으며 항공기의 속도를 대지속도 형태로 제공한다. 대지속도는 진 대기속도와 바람 속도의 합으로 표현된다. 본 논문에서는 일반인들이 획득 가능한 항적, 기상, 지형 데이터를 결합하여 진 대기속도를 추정하는 방법을 제시한다. 각 데이터를 통합하기 위해 좌표계를 일치시킨 후 고도 기준을 평균 해수면 고도로 통일하였다. 또한, 해상도가 가장 낮은 기상 데이터의 격자를 기준으로 보간을 수행하여 항적 데이터의 모든 점에 대한 바람 벡터를 산출하였다. 이러한 과정을 여러 항적에 적용하여 기상, 지형 데이터의 통합을 통해 진 대기속도를 추정하였다.

• Journal of Astronomy and Space Sciences
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• 제20권4호
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• pp.359-364
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• 2003

In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information. The well-determined acquisition of vehicle's position plays a vital role in application service. The development of GPS is used to provide the navigation data, but the performance is limited in areas where poor satellite visibility environment exists. Hence, multi-sensor fusion including IMU (Inertial Measurement Unit), GPS(Global Positioning System), and DMI (Distance Measurement Indicator) is required to provide the vehicle's position to service provider and driver behind the wheel. The multi-sensor fusion is implemented via algorithm based on Kalman filtering technique. Navigation accuracy can be enhanced using this filtering approach. For the verification of fusion approach, land vehicle test was performed and the results were discussed. Results showed that the horizontal position errors were suppressed around 1 meter level accuracy under simulated non-GPS availability environment. Under normal GPS environment, the horizontal position errors were under 40㎝ in curve trajectory and 27㎝ in linear trajectory, which are definitely depending on vehicular dynamics.

• International Journal of Aeronautical and Space Sciences
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• 제17권4호
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• pp.604-613
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• 2016

In this paper, Human-in-the-Loop (HiTL) simulations of Remotely Piloted Aircraft System (RPAS) operations in two different Air Traffic Management (ATM) concepts, conventional radar vectoring and Trajectory Based Operations (TBO), were performed to assess the impacts of RPAS integration in the future ATM environment. TBO concept maximizes the throughput by planning and sharing 4-D trajectories between pilots and controllers, and it is considered one of the key concepts to enable RPASs to operate with manned aircraft in congested airspaces. RPASs are characterized by having communication delay or temporary loss of communication. TBO capability was added to the integrated air traffic simulation system for this study, which was developed in the Inha University. HiTL simulations were performed by a trainee air traffic controller with three scenarios, and the data were analyzed using safety, efficiency, and controller workload metrics. The results suggest that TBO were effective in reducing delays and controller workload while maintaining the level of safety.

• Journal of Mechanical Science and Technology
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• 제19권12호
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• pp.2312-2320
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• 2005

The aerodynamic effects of leading-edge accretion can raise important safety concerns since the formulation of ice causes severe degradation in aerodynamic performance as compared with the clean airfoil. The objective of this study is to develop a numerical simulation strategy for predicting the particle trajectory around an MS-0317 airfoil in the test section of the NASA Glenn Icing Research Tunnel and to investigate the impingement characteristics of droplets on the airfoil surface. In particular, predictions of the mean velocity and turbulence diffusion using turbulent flow solver and Continuous Random Walk method were desired throughout this flow domain in order to investigate droplet dispersion. The collection efficiency distributions over the airfoil surface in simulations with different numbers of droplets, various integration time-steps and particle sizes were compared with experimental data. The large droplet impingement data indicated the trends in impingement characteristics with respect to particle size ; the maximum collection efficiency located at the upper surface near the leading edge, and the maximum value and total collection efficiency were increased as the particle size was increased. The extent of the area impinged on by particles also increased with the increment of the particle size, which is similar as compared with experimental data.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.945-951
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• 2022

The major objective of this research is to evaluate performance of improved intersections for response time to emergency vehicle preemption. Smart technologies have been introduced to civil infrastructure systems for resilient communities. The technologies need to evaluate their effectiveness and feasibility to confirm their introduction. This research focuses on the performance of emergency vehicle preemption, represented by response time, when smart intersections are introduced in a community. The response time is determined by not only intersections but also a number of factors such as traffic, distance, road conditions, and incident types. However, the evaluation of emergency response has often ignored factors related to emergency vehicle routes. In this respect, this research synthetically analyzes geospatial and incident data using each route of emergency vehicle and conducts before-and-after evaluations. The changes in performance are analyzed by the impact of smart intersections on response time through Bayesian regression models. The result provides measures of the project's performance. This study will contribute to the body of knowledge on modeling the impacts of technology application and integrating heterogeneous data sets. It will provide a way to confirm and prove the effectiveness of introducing smart technologies to our communities.