• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2926-2928
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• 1999

원자력발전소 증기발생기 전열관 건전성 유지를 위하여 매 주기마다 실시하고 있는 비파괴검사의 일종인 와전류검사(ECT, Eddy Current Testing)의 주요 공정은 크게 3가지로 분류할 수 있다. 첫 번째는 전열관 상태검사를 위한 신호데이터 취득공정이고, 두 번째는 취득된 신효를 판독하여 전열관의 건전성 여부를 진단하는 평가공정, 세 번째는 평가공정에서 발생하는 데이터를 토대로 전열관 이력 및 상태를 유지관리하는 공정으로 구분할 수 있다. 본 논문에서는 위의 세 번째 공정결과 생성되는 전열관 이력 및 상태자료를 데이터베이스화하여 유지 관리하고, 데이터베이스화된 내용을 바탕으로 전열관 상태 변화추이를 파악하는 기능, 현재까지 비 체계화된 모든 전열관의 이력자료를 다양한 보고서 형태로 출력할 수 있는 기능 둥을 제공하기 위한 "인트라넷 증기발생기 전열관 이력관리시스템"의 설계 및 구현과정 을 정 리 하였다.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.27-40
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• 2006

The traffic information is provided, which based on the volume of traffic, speed, occupancy collected through the currently operating Vehicle Detector System(VDS). In addition to the trend in utilization fold of traffic information is increasing gradually with the applied various fields and users. Missing data in Vehicle detector data means series of data transmitted to controller without specific property. The missing data does not have a data property, so excluded at the whole data Process Hence, increasing ratio of missing data in VDS data inflicts unreliable representation of actual traffic situation. This study presented the imputation process due out which applied the methodologies that utilized adjacent stations reference and historical data utilize about missing data. Applied imputation process methodologies to VDS data or SeoHaeAn/Kyongbu Expressway, currently operation VDS, after processes at missing data ratio of an option. Imputation process held presented to per lane-30seconds-period, and morning/afternoon/daily time scope ranges classified, and analyzed an error of imputed data preparing for actual data. The analysis results, an low error occurred relatively in the results of the imputation process way that utilized a historical data compare with adjacent stations reference methods.

• 한국도로학회지:도로
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• v.10 no.4
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• pp.32-41
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• 2008

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.133-141
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• 1999

Collapse of a huge structural material has brought about enormous loss of lives and property. Every construction may be destroyed by the nature's power and careless mistake of human as well as its own defect. So a great number of concern and detailed managing technique are demanded not in constructing work but also in management of constructed material. The Interest of construction safety has Increased rapidly and a plenty of effort has been attempted to manage systematically. In this study, the use of FM(Facilities Management) as a branch of GSIS(Geo-spatial Information System) was developed to offer the users convenient managing achievement and establishment of history managing system in the bridge management system. This study accomplished dividing all information of images, photos, drawing and etc. into their items of time, material and the person in charge, and developed to stue and maintain those items in database. Related database which is composed of recording of check, retrieving and adding the data was accomplished to an easy access of database, and by using these data as output for example images, m display, report and hard copy, this system was proved to help manage efficiently in bridge management system.

• Tunnel and Underground Space
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• v.20 no.4
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• pp.292-298
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• 2010

The purpose of this study is to evaluate an effect of ground vibration caused by blasting on the concrete brick structure. For the purpose, dynamic response time-history of the structure assumed single degree of freedom (SDOF) system and vibration time-history directly measured from the structure were examined, using Newmark $\beta$ method based on data measured at ground. The time-history was interpreted from the measured data of ground and structure in single hole blasting. Vibration magnitude between ground vibration and structure in single hole blasting and 20 ms interval blasting was about three times and was shown larger vibration on the structure. By time-history analysis of structure dynamic response, the value was almost the same one with the data measured from the structure. It indicates that the vibration characteristics of structures may be predicted on the basis of the ground vibration data measured from the sub-ground of structure.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.2
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• pp.15-22
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• 2020

In this paper, seismic ground motion generation method based on the observbation data from the Korea Meteorological Administration is proposed to predict the acceleration time history at an arbitrary location after earthquake. The proposed method assumes that the magnitude of the seismic accelrations obtained from the near stations decreases linearly with the distance from the epicenter to the corresponding station and the accelerations measured at the adjacent stations are assumed to have similar maximum acceleration and time shape functions. These two assumptions allow for the prediction of seismic acceleartion motion without geotechnical information where no seismic accelerometer is installed. This study verified the applicability of the prediction method using seismic observation data from Gyeongju Earthquake (2016), Pohang Earthquake (2017) and Sangju Earthuqkae (2019). The comparison results show that the proposed method is effective for predicting the seismic acceleration response spectrum and time history at arbitary locations.

• Transportation Technology and Policy
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• v.12 no.2
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• pp.39-48
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• 2015

• Water for future
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• v.25 no.3
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• pp.65-77
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• 1992

The purpose of this study is to analyse existing hysteresis models and to propose a new type of model. The existing hysteresis models are classified by three types: interpolation model, scaling model and domain model, of which the domain model is based on the theoretical approach. Models which need one branch of hysteresis loop for calibration are developed based on the independent domain concept, however, they are not successful to accurately simulate the real data and Rubicon Sandy Loam and Dune Sand. There is a possibility that a new model is based on the dependent domain model considering the pore blockage effect against air entry for homogeneous porous media(modelIII-1, Mualem, 1984). Concludingly, a new type of hysteresis model is proposed by simplifying ModelIII-1 using a proper assumption.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.6
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• pp.1873-1879
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• 2014

There are various methodologies to forecast the travel time using real-time data but the K-nearest neighborhood (KNN) method in general is regarded as the most one in forecasting when there are enough historical data. The objective of this study is to evaluate applicability of KNN method. In this study, real-time and historical data of toll collection system (TCS) traffic flow and the dedicated short range communication (DSRC) link travel time, and the historical path travel time data are used as input data for KNN approach. The proposed method investigates the path travel time which is the nearest to TCS traffic flow and DSRC link travel time from real-time and historical data, then it calculates the predicted path travel time using weight average method. The results show that accuracy increased when weighted value of DSRC link travel time increases. Moreover the trend of forecasted and real travel times are similar. In addition, the error in forecasted travel time could be further reduced when more historical data could be available in the future database.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2465-2471
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• 2013

This paper develops a travel time prediction algorithm that can be used for real-time application. The algorithm searches for the most similar pattern in historical travel time database as soon as a series of real-time data become available. Artificial neural network approach is then taken to forecast travel time in the near future. To examine the performance of this algorithm, travel time data from Gyungbu Highway were obtained and the algorithm is applied. The evaluation shows that the algorithm could predict travel time within 4% error range if comparable patterns are available in the historical travel time database. This paper documents the detailed algorithm and validation procedure, thereby furnishing a key to generating future travel time information.