• Title/Summary/Keyword: 데이터 보정

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Correction of Drifter Data Using Recurrent Neural Networks (순환신경망을 이용한 뜰개의 관측 데이터 보정)

  • Kim, Gyoung-Do;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.15-21
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    • 2018
  • The ocean drifter is a device for observing the ocean weather by floating off the sea surface. The data observed through the drifter is utilized in the ocean weather prediction and oil spill. Observed data may contain incorrect or missing data at the time of observation, and accuracy may be lowered when we use the data. In this paper, we propose a data correction model using recurrent neural networks. We corrected data collected from 7 drifters in 2015 and 8 drifters in 2016, and conducted experiments of drifter moving prediction to reflect the correction results. Experimental results showed that observed data are corrected by 13.9% and improved the performance of the prediction model by 1.4%.

Automatic Global Registration for Terrestrial Laser Scanner Data (지상레이저스캐너 데이터의 자동 글로벌 보정)

  • Kim, Chang-Jae;Eo, Yang-Dam;Han, Dong-Yeob
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.2
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    • pp.281-287
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    • 2010
  • This study compares transformation algorithms for co-registration of terrestrial laser scan data. Pair-wise transformation which is used for transformation of scan data from more than two different view accumulates errors. ICP algorithm commonly used for co-registration between scan data needs initial geometry information. And it is difficult to co-register simultaneously because of too many control points when managing scan at the same time. Therefore, this study perform global registration technique using matching points. Matching points are extracted automatically from intensity image by SIFT and global registration is performed using GP analysis. There are advantages for operation speed, accuracy, automation in suggested global registration algorithm. Through the result from it, registration algorithms can be developed by considering accuracy and speed.

Motion Curve Fitting for Character Animation (캐릭터 애니메이션을 위한 모션 데이터 보정)

  • 송경민;이칠우
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.611-616
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    • 2001
  • 본 논문에서는 실세계에서의 사용자 동작을 가상 공간의 캐릭터를 통해 나타낼 수 있는 제어 방법에 대해 논한다. 사용자의 캐릭터는 스테레오 카메라 영상으로부터 얻어지는 5개의 3차원 좌표값을 이용하여 표현된다. 영상에서 구하는 3차원 좌표값은 노이즈를 포함하는 불안정한 데이터이므로 자연스럽고 부드럽게 변형할 수 있도록 프레임 내에서 보정 작업이 필요하다. 보정 후 안정된 위치 데이터는 부드럽게 변형할 수 있도록 프레임 내에서 보정 작업이 필요하다. 보정 후 안정된 위치 데이터는 신체 제약조건을 만족하는 범위에서 동역학(inverse kinematic)을 이용하여 관절각 데이터로 변형한다. 하지만 이 방법은 수학적인 계산을 통해 나온 결과이기 때문에 때때로 사용자가 운하지 않는 동작을 만들어 내는 단점을 가지고 있다. 이를 극복하기 위해 관절각 제약조건을 만족하는 데이터만으로 보간 작업을 한다.

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Georegistration of Airborne LiDAR Data Using a Digital Topographic Map (수치지형도를 이용한 항공라이다 데이터의 기하보정)

  • Han, Dong-Yeob;Yu, Ki-Yun;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.323-332
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    • 2012
  • An airborne LiDAR system performs several observations on flight routes to collect data of targeted regions accompanying with discrepancies between the collected data strips of adjacent routes. This paper aims to present an automatic error correction technique using modified ICP as a way to remove relative errors from the observed data of strip data between flight routes and to make absolute correction to the control data. A control point data from the existing digital topographic map were created and the modified ICP algorithm was applied to perform the absolute automated correction on the relatively adjusted airborne LiDAR data. Through such process we were able to improve the absolute accuracy between strips within the average point distance of airborne LiDAR data and verified the possibility of automation in the geometric corrections using a large scale digital map.

Measurement Calibration for Building Reliable EMS Database (EMS 데이터베이스 구축을 위한 측정데이터 보정 연구)

  • Kim, Byoung-Ho;Kim, Hong-Rae;Moon, Young-Hyun
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.36-37
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    • 2008
  • 전력계통 내에는 수많은 측정장비가 사용되며, 그들로부터 측정된 데이터들은 중앙으로 전송되어 계통의 해석과 제어에 사용된다. EMS에서 사용하는 각종 응용 프로그램은 이와 같은 입력데이터의 정확도에 많은 영향을 받게 된다. 본 논문에서는 상태추정 기법을 이용하여 EMS 데이터베이스에 사용하는 측정데이터를 보정(calibration)하는 방법을 소개한다. 보정에러는 정확하게 조정되지 않은 계기에 의해 측정데이터에 포함된 일정한 크기의 측정 바이어스로 가정하였다. 본 논문에서는 상태추정을 이용하여 측정데이터를 보정하는 방법을 사용함으로써 현장에서 많은 시간과 비용을 들여 측정장비를 조정하는 것보다 훨씬 효율적으로 데이터를 관리할 수 있다. 제주도의 실계통 데이터를 이용하여 사례연구를 수행함으로써 제안된 방법의 타당성을 검증하였다.

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Design and Implementation of RTK-GPS Correction Data Transmission Agent on the PDA Environment (PDA 환경에서 RTK-GPS 보정 데이터 전송 에이전트의 설계 및 구현)

  • Jeong, Seong-Hoon;Lee, Tae-Oh;Yim, Jae-Hong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04b
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    • pp.1273-1276
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    • 2002
  • 기존 RTK-GPS는 고가의 장비인 RF방식의 무선모뎀을 사용함으로써 무선국의 허가, 전파의 지리적 장애물에 의한 영향, 전송거리의 제한, 주파수 혼신, 주파수 자원의 유한성 등의 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 휴대전화를 전송 매체로 이용하여 보정 데이터를 송 수신하는 방법으로, PDA 환경하에서 RTK-GPS 보정 데이터를 전송하는 시스템을 설계 및 구현하였다. 기준국의 서버는 GPS 수신기와 연결된 RS-232 시리얼 포트로부터 보정 데이터를 수신하여 휴대전화와 연동을 통한 이동국의 PDA 단말기로 보정 데이터를 전송하고, RS-232 시리얼 포트를 통해 이동국의 GPS수신기에 전달한다. 이동국의 측위프로그램은 GPS수신기로부터 RSC-232 시리얼 포트를 통한 위치 정보를 수신하여 상대측위를 하게되며, 정확한 위치 측정이 이루어진다.

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Feeding System Design/Analysis Using Test Data Correlation Method (Test data 보정기법을 활용한 추진기관 공급계 설계/해석)

  • Cho, Nam-Kyung;Jeong, Yong-Gahp;Han, Sang-Yeop;Kim, Young-Mog
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2006.11a
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    • pp.127-131
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    • 2006
  • An optimization algorithm is applied to a calibration task. In this paper, test data correlation, a reverse analysis method, is presented. With this method, flow rate and heat transfer rate, which are difficult to be measured are estimated using measured pressure and temperature data for helium pressurization system of launch vehicle.

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Estimate method of missing data using Similarity in AMI system (AMI시스템에서 유사도를 활용한 누락데이터 보정 방법)

  • Kwon, Hyuk-Rok;Hong, Taek-Eun;Kim, Pan-Koo
    • Smart Media Journal
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    • v.8 no.4
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    • pp.80-84
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    • 2019
  • As a result of AMI rapidly expanding and distributing its products, variety of services that utilize data on the use of electricity are increasing. In order to make these services more effective, missing metric data needs to be corrected, compensating for which Euclidean similarity is used to find customers with similar usage patterns. Throughout such a process, we propose a method for correcting missing data and provide comparison with the preceding methods.

Algorithm for Correcting Error in Smart Card Data Using Bus Information System Data (버스정보시스템 데이터를 활용한 교통카드 정류장 정보 오류 보정 알고리즘)

  • Hye Inn Song;Hwa Jeong Tak;Kang Won Shin;Sang Hoon Son
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.3
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    • pp.131-146
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    • 2023
  • Smart card data is widely used in the public transportation field. Despite the inevitability of various errors occur during the data collection and storage; however, smart card data errors have not been extensively studied. This paper investigates inherent errors in boarding and alighting station information in smart card data. A comparison smart card data and bus boarding and alighting survey data for the same time frame shows that boarding station names differ by 6.2% between the two data sets. This indicates that the error rate of smart card data is 6.2% in terms of boarding station information, given that bus boarding and alighting survey data can be considered as ground truth. This paper propose 6-step algorithm for correcting errors in smart card boarding station information, linking them to corresponding information in Bus Information System(BIS) Data. Comparing BIS data and bus boarding and alighting survey data for the same time frame reveals that boarding station names correspond by 98.3% between the two data sets, indicating that BIS data can be used as reliable reference for ground truth. To evaluate its performance, applying the 6-step algorithm proposed in this paper to smart card data set shows that the error rate of boarding station information is reduced from 6.2% to 1.0%, resulting in a 5.2%p improvement in the accuracy of smart card data. It is expected that the proposed algorithm will enhance the process of adjusting bus routes and making decisions related to public transportation infrastructure investments.

An Adaptive Pointing and Correction Algorithm Using the Genetic Algorithm (유전자 알고리즘을 이용한 적응적 포인팅 및 보정 알고리즘)

  • Jo, Jung-Jae;Kim, Young-Chul
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.67-74
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    • 2013
  • In this paper, we propose the pointing and correction algorithm for optimized performance based on Bluetooth communication. The error from the accelerometer sensor's output must be carefully managed as the accelerometer sensor is more sensitive to data change compared to that of the gyroscope sensor. Thus, we minimize the noise by applying the Kalman filter to data for each axis from the accelerometer. In addition, we can also obtain effect compensating the hand tremor by applying the Kalman filter to the data variation for x and y. In this study, we extract data through the Quaternion mapping process on data from the accelerometer and gyroscope. In turn, we can obtain a tilt compensation by applying a compensation algorithm with acceleration of the gravity of the extracted data. Moreover, in order to correct the inaccuracy on smart sensor due to the rapid movement of a device, we propose a adaptive pointing and correction algorithm using the genetic approach to generate the initial population depending on the user.