• Journal of Positioning, Navigation, and Timing
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• v.4 no.1
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• pp.1-7
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• 2015

In the case of an unmanned aerial vehicle (UAV) equipped with a GNSS sensor, a boundary line where the vehicle can actually exist can be calculated using a navigation error model, and safe navigation (e.g., precise landing and collision prevention) can be supported based on this boundary line. Therefore, for the safe operation of UAV, a model for the position error of UAV needs to be established in advance. In this study, the multipath error of a GNSS sensor installed at UAV was modeled through a flight test, and this was analyzed and compared with the error model of an existing manned aircraft. The flight test was conducted based on a scenario in which UAV performs hovering at an altitude of 40 m, and it was found that the multipath error value was well bound by the error model of an existing manned aircraft. This result indicates that the error model of an existing manned aircraft can be used in operation environments similar to the scenario for the flight test. Also, in this study, a scenario for the operation of multiple UAVs was considered, and the correlation between the multipath errors of the UAVs was analyzed. The result of the analysis showed that the correlation between the multipath errors of the UAVs was not large, indicating that the multipath errors of the UAVs cannot be canceled out.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.4
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• pp.54-66
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• 2024

Various new ITS Services to support autonomous vehicles. Infra-guidance service is also one of the new ITS services that have emerged to harmonize the traffic flow in mixed traffic by assisting autonomous vehicles. As a verification procedure to introduce a new ITS service, use cases and scenarios will be established for various spatial and situational ranges that may occur on the road, and limited test operations and living lab pilot operations will be performed. On the other hand, numerous cases occur depending on environmental factors such as the traffic volume at the time of service operation, weather and road geometric characteristics. This study presents a test scenario design method for verifying new ITS services, focusing on the infra-guidance service that is being researched as an emerging autonomous driving-supported technology.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.275-281
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• 2012

This paper proposes a modular type manager which is implemented to guarantee performance for LBS automatically in the mobile environment. The proposed system consists of modules for the management of scenario, mobility, and statistics. Each module controls the mobility in order to optimize the performance according to the scenario list. The statistics management module records mobility information and quick solution of errors and problems. The implemented system reduced the management cost and improved the management performance by the automatic test which was tested manually before the development of the system.

• Journal of Korea Water Resources Association
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• v.46 no.8
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• pp.833-842
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• 2013

The quantile mapping is utilized to reproduce reliable GCM(Global Climate Model) data by correct systematic biases included in the original data set. This scheme, in general, projects the Cumulative Distribution Function (CDF) of the underlying data set into the target CDF assuming that parameters of target distribution function is stationary. Therefore, the application of stationary quantile mapping for nonstationary long-term time series data of future precipitation scenario computed by GCM can show biased projection. In this research the Nonstationary Quantile Mapping (NSQM) scheme was suggested for bias correction of nonstationary long-term time series data. The proposed scheme uses the statistical parameters with nonstationary long-term trends. The Gamma distribution was assumed for the object and target probability distribution. As the climate change scenario, the 20C3M(baseline scenario) and SRES A2 scenario (projection scenario) of CGCM3.1/T63 model from CCCma (Canadian Centre for Climate modeling and analysis) were utilized. The precipitation data were collected from 10 rain gauge stations in the Han-river basin. In order to consider seasonal characteristics, the study was performed separately for the flood (June~October) and nonflood (November~May) seasons. The periods for baseline and projection scenario were set as 1973~2000 and 2011~2100, respectively. This study evaluated the performance of NSQM by experimenting various ways of setting parameters of target distribution. The projection scenarios were shown for 3 different periods of FF scenario (Foreseeable Future Scenario, 2011~2040 yr), MF scenario (Mid-term Future Scenario, 2041~2070 yr), LF scenario (Long-term Future Scenario, 2071~2100 yr). The trend test for the annual precipitation projection using NSQM shows 330.1 mm (25.2%), 564.5 mm (43.1%), and 634.3 mm (48.5%) increase for FF, MF, and LF scenarios, respectively. The application of stationary scheme shows overestimated projection for FF scenario and underestimated projection for LF scenario. This problem could be improved by applying nonstationary quantile mapping.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.62-63
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• 2008

• Fire Science and Engineering
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• v.30 no.6
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• pp.37-42
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• 2016

The present study has been performed to examine the feasibility of a flame spread model on the design fire scenario for fire risk analysis. Thermo-Gravimetric analysis and sample burning test were conducted to obtain the material properties of a single couch covered with synthetic leather material and a series of FDS calculations applying with the measured material properties were performed for different grid sizes. The overall fire growth characteristics predicted by the fire model were quite different from the results of a real scale fire test and the initial peak value of the HRR and total released energy showed the results within a 30% discrepancy for the computational grids used in the present study. The current model has some limitations in predicting the fire growth characteristics, such as fire growth rate and the time to the maximum HRR. This study shows that the fire model may be applicable to creating the design fire scenario through continuous model improvement and detailed material properties.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.236-248
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• 2013

This study was to develop the simulation learning scenario using standardized patients, and to evaluate the effect of it. This study was a pre-post test design with a single group and participants were recruited from fourth-year nursing students at a university. This study has developed the case scenario for a patient with spontaneous intracerebral hemorrhage and the simulation learning using standardized patients, which was applied in this study, had improved problem solving ability and clinical performance ability on nursing students. Through this study, the nursing student will grow up to be a professional nurse by learning the nursing assessment including consciousness assessment. Also, the simulation learning scenario using standardized patient should be developed in the various fields.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.574-579
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• 2023

The radar flight test has many restrictions on simulating various targets, clutter and jamming signal. Therefore, in this study, a radar HILS system that performs a radar operation simulation function according to an operation scenario was developed. Radar HILS simulates the radar mission environment through radar beam operation simulation, radar operation control, simulated signal generation, and flight attitude simulation.. HILS generates and modulates simulated target signals(single, multiple targets) containing radar mission environments(clutter, jamming etc.) based on flight scenarios, and transmits them to AESA radar over RF. And Scenario-based radar performance was verified by detecting simulated targets and confirming detection results.

• Proceedings of the KSR Conference
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• 1999.11a
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• pp.376-384
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• 1999

In this paper, we introduce the on-line test plan of high speed rail development, which will be carried out at the test section of Seoul-Pusan high speed line from May to October, 2002. The test items are decided focused on the verification of the perofrmace and acquirement of the technical data of the high speed rail system development. The running time and distance of the train are calculated for several limited maximum speed cases. The detailed test scenario shall be developed according to the process of development and design of the system.

• Journal of Positioning, Navigation, and Timing
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• v.11 no.2
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• pp.119-126
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• 2022

This paper presents a method to reduce the vibration-induced noise effect of an inertial measurement device mounted on a self-driving vehicle. The inertial sensor used in the GNSS/INS integrated navigation system of a self-driving vehicle is fixed directly on the chassis of vehicle body so that its navigation output is affected by the vibration of the vehicle's engine, resulting in the degradation of the navigational performance. Therefore, these effects must be considered when mounting the inertial sensor. In order to solve this problem, this paper proposes to use an in-house manufactured vibration suppression device and analyzes its impact on reducing the vibration effect. Experimental test results in a static scenario show that the vibration-induced noise effect is more clearly observed in the lateral direction of the vehicle, but can be effectively suppressed by using the proposed vibration suppression device compared to the case without it. In addition, the dynamic positioning test scenario shows the position, speed, and posture errors are reduced to 74%, 67%, and 14% levels, respectively.