• International Journal of Highway Engineering
• /
• v.14 no.2
• /
• pp.165-174
• /
• 2012

In this study, a method for evaluating the performance of speed measurements was developed to assess the qualities of a vehicle detector. The evaluation method considers measurement errors that are reflected in a reference speed. For this, the concept of uncertainty in measurement was applied to the development method. Other factors such as precedent study, statistical processing techniques, and speed measurement performance method of traffic enforcement equipment and vehicle detection systems were also reviewed. Through this process, the problems of the existing evaluation methods were derived and developed for the new performance evaluation method. Vehicle detectors that are installed in the field were evaluated using the traditional assessment methods and the developed method. As a result, for traditional assessment methods, it was found that evaluation criteria are acceptable, while developed method's criteria are not acceptable. This means that traditional assessment methods do not sufficiently consider errors in measurement, so it has potential to over-estimate for performance of evaluation equipment. On the other hand, it was represented that the developed method should include variable factor such as errors in measurement and more precise compared to traditional assessment methods.

• Journal of Advanced Navigation Technology
• /
• v.26 no.4
• /
• pp.195-204
• /
• 2022

In this paper, we described the rapid initial alignment techniques of projectile navigation system for use in inclined launch systems. One-shot alignment technique, one of the rapid initial alignment techniques, is possible to align a navigation system within seconds because it uses external information from an launcher navigation system. However, since it has only been used in vertical launch systems, its performance in inclined launch systems has not been verified. Therefore, this paper analyzed the error elements that occur when the one-shot alignment technique is applied to the inclined launch system, and introduced a method to improve the alignment performance by minimizing those errors. Additionally, By simulating and testing the performance of the proposed alignment technique, it was verified that it is effective even in an environment where a real navigation system is used.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.1621-1623
• /
• 2011

발전소 수명연장의 필요성과 더불어 발전기 수명예측기법이 발전기 제작사를 중심으로 연구되어 왔으며 국내에도 수명예측과 관련기술들이 주로 일본의 영향을 받아 도입되어 발전소 현장에 활용되고 있고 평가의 신뢰성을 높이기 위해 노력하고 있다. 본 연구에서는 국내에 적용되고 있는 발전기 수명예측방법과 적용기준을 살펴보고 실제 발전소를 대상으로 수명평가한 사례중에서 평가결과의 신뢰성에 문제가 될 수 있는 몇가지 사례를 예시하고 분석하였다. 그 결과로 수명예측의 신뢰성을 높이기 위해서는 발전기의 냉각방식에 따라 수명평가 기준이 달리 적용되어야 한다는 것과, 최대부분방전량 측정오차를 줄여야 한다는 것, 고정자권선 단말부 흡습에 대한 고려가 필요하다는 것 등을 제시하였다.

• Journal of the Korean Geosynthetics Society
• /
• v.19 no.4
• /
• pp.85-93
• /
• 2020

This study describes the results of laboratory model test on settlement of soil contaminated with heavy metals, in order to evaluate the applicability of VMS to the measurement of gound settlements generated during the purification of contaminated soil. The measurement results for settlement of contaminated soil were compared using a 3D-Visual Monitoring System (VMS) based on digital photogrammetry and a total station. The test result showed that the settlement of the soil contaminated with heavy metals occurred a lot in the experimental condition in which the hydrophilic filter was applied. The minimum and maximum error ranges of VMS were calculated as ±0.36mm and ±0.87mm, respectively, and the error of VMS was satisfied in all experimental conditions. The average error rate of VMS was lower in the hydrophilic filter condition than in the hydrophobic filter condition. Therefore, it was evaluated that VMS can be applied to measure the settlement of contaminated soil.

• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.101-108
• /
• 2019

Depending on the location of the lung tumor, the choice of treatment technique should be considered when treating the Cyberknife. The 4DCT images of 18 lung cancer patients were analyzed, and location error values were extracted through application program. The evaluation result was lower than the average position error only in the upper and the inner. These results suggest that the Vertebral tracking technique is effective when it is close to the pulmonary attachment or near the vertebral body, and the Synchrony technique is effective at other positions. In the future, we would like to study cyber knife treatment technique according to the position of the tumor as well as the volume of the lung and the respiratory cycle.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.971-975
• /
• 2009

본 연구에서는 격자강우량과 GIS와 연계한 격자기반의 공간수문자료들을 모형의 입력매개변수로 활용하고, 수계망을 통하여 유역 출구까지 운동파(kinematic wave)이론에 의해 유출량을 물리적으로 추적해 나가는 격자기반의 분포형 강우-유출모형인 K-DRUM(Kwater Distributed RUnoff Model)을 개발하였고, 지표유출량에 가장 큰 영향을 주지만 실제 관측 및 적용이 용이하지 않은 유역의 초기토양함수상태에 대한 자동보정기법을 개발하였다. 개발된 자동보정기법을 이용하여 남강댐유역을 대상으로 적용가능성을 평가하였다. 연구에서 사용한 강우사상은 남강댐 유역에 큰 영향을 준 태풍 루사 (2002년 8월 31일 01시$^{\sim}$9월1일 23시), 태풍 매미 (2003년 9월 12일 01시$^{\sim}$9월13일 23시), 2004년의 대류성강우 (2004년 7월14일 01시$^{\sim}$7월 16일 10시) 및 태풍 에위니아 (2006년 7월 8일 18시$^{\sim}$7월11일 12시)의 총 4개의 사상을 대상으로 하였다. 개발한 유역의 초기토양함수상태 자동보정기법에 의한 유출모의의 적용성을 검토하기 위하여 모의에 사용된 매개변수 중 토지피복도에 의해 결정되는 조도계수와 토양도에 의해 결정되는 유효토심, 흡인수두계수, 공극률 및 투수계수는 4개의 강우사상에서 모두 동일한 조건으로 설정하였고, 유역내 토양 내부 수분함유량 산정을 위한 초기 기저유출량은 검토대상 기간 시점부에서 관측된 유출량으로 설정하였다. 초기토양함수상태 자동보정기법 적용을 통한 유출해석의 정확도는 체적오차 백분율(VER)과 첨두 유량 오차 백분율(QER)을 이용하여 평가하였으며, 이를 통해 본 모형이 유출량에 대한 정확성을 확보하고자 하였다. 본 연구에서 개발된 자동보정 기법을 적용한 결과, 초기토양조건을 설정하는데 있어서 기존의 시행착오법으로 인해 소요되는 시간과 유역내 토양 특성과 지형형상을 고려하지 않는 설정으로 인해 발생될 수 있는 문제점을 해결할 수 있었으며, 유출계산 결과도 유량의 크기와 첨두시간 모두 관측값과 비교적 잘 맞는 것을 확인할 수 있었다.

• Journal of Korea Water Resources Association
• /
• v.56 no.8
• /
• pp.509-520
• /
• 2023

Various drought indices are widely used for assessing drought conditions which are affected by many factors such as precipitation, soil moisture, and runoff. The values of drought indices varies depending on hydro-meteorological data and calculation formulas, and the judgment of the drought condition may also vary. This study selected four calculation components such as precipitation data length, accumulation period, probability distribution function, and parameter estimation method as the sources of uncertainty in the calculation of standardized precipitation index (SPI), and evaluated their contributions to the uncertainty using root mean square error (RMSE) and linear mixed model (LMM). The RMSE estimated the overall errors in the SPI calculation, and the LMM was used to quantify the uncertainty contribution of each factor. The results showed that as the accumulation period increased and the data period extended, the RMSEs decreased. The comparison of relative uncertainty using LMM indicated that the sample size had the greatest impact on the SPI calculation. In addition, as sample size increased, the relative uncertainty related to the sample size used for SPI calculation decreased and the relative uncertainty associated with accumulation period and parameter estimation increased. In conclusion, to reduce the uncertainty in the SPI calculation, it is essential to collect long-term data first, followed by the appropriate selection of probability distribution models and parameter estimation methods that represent well the data characteristics.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.6
• /
• pp.26-36
• /
• 2021

In this study, a deep learning model for predicting the queue length was developed using the information collected from the image detector. Then, a multiple regression analysis model, a statistical technique, was derived and compared using two indices of mean absolute error(MAE) and root mean square error(RMSE). From the results of multiple regression analysis, time, day of the week, occupancy, and bus traffic were found to be statistically significant variables. Occupancy showed the most strong impact on the queue length among the variables. For the optimal deep learning model, 4 hidden layers and 6 lookback were determined, and MAE and RMSE were 6.34 and 8.99. As a result of evaluating the two models, the MAE of the multiple regression model and the deep learning model were 13.65 and 6.44, respectively, and the RMSE were 19.10 and 9.11, respectively. The deep learning model reduced the MAE by 52.8% and the RMSE by 52.3% compared to the multiple regression model.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.8
• /
• pp.2565-2574
• /
• 2000

The error diffusion method is good for reproducing continuous image to binary image. However the reproduction of edge characteristic is weak in power spectrum analysis of display error. In this paper. we present an edge-enhanced error-diffusion method which include pre-processing algorithm for edge characteristic enhancement. Pre-processing algorithm consists of the difference value between current pixel and local average of original image and weighting function of pre-filter. First. it is obtained the difference value between current pixel and the local average of peripheral pixels(5x5) in original image. Second, weighting function of pre-filter is composed by function including absolute value and sign of difference value. The improved Error diffusion algorithm using pre-processing algorithm, present a good result visually which edge characteristic is enhanced. The performance of the proposed algorithm is compared with that of the conventional edge-enhanced error diffusion by measuring the RAPSD of display error, the egde correlation and the local average accordance.

• Journal of Korean Society of Transportation
• /
• v.24 no.4 s.90
• /
• pp.117-127
• /
• 2006

Many large cities in Korea have implemented or planed to implement a bus information system(BIS) to improve service quality for bus Passengers, mainly by Providing bus arrival time at bus stations. In those systems, similar systematic errors to estimate the bus arrival time occur, which are caused by the cycle time to identify each bus location, the information processing time of the center system, and the cycle time to update the bus arrival information on each terminal. This paper investigated each cause sequentially and estimated three expectations related to the above three causes, respectively using the random incidence concept. Through a validation using real data from a BIS in a city in Korea, fairly amount of improvements on the bus arrival time estimation have been observed.