• Title/Summary/Keyword: 데이터 보정

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The Analysis and Design of EMS Component for RFID Middleware (RFID 미들웨어를 위한 EMS 컴포넌트의 분석 및 설계)

  • Ahn Sungwoo;Park Jaekwan;Seok Suwook;Hong Bonghee
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.271-273
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    • 2005
  • 많은 글로벌 기업들이 비용절감 및 효율성 증대를 위하여 RFID 시스템을 도입하거나 도입을 적극 검토 중에 있다. RFID 시스템으로부터 획득된 수많은 정보들이 기업의 업무효율을 증대시킬 수 있도록 하기 위해서는 상위 응용 서비스에서 RFID 데이터를 효율적으로 사용할 수 있도록 리더와 응용 서비스 간의 중계 역할을 할 수 있는 RFID 미들웨어의 역할이 매우 중요하다. 이러한 요구사항에 맞춰 최근 EPCglobal에서는 RFID 미들웨어인 ALE(Application Level Event)를 제시하고 있다. ALE는 RFID 리더에 의해 읽혀진 EPC 이벤트 데이터를 실시간으로 수집하여 원본 데이터의 오류를 보정한 후에 사용자와 응용 서비스의 요구에 따라 특정 이벤트 데이터를 필터링하여 보고하는 역할을 한다. 본 논문에서는 ALE의 실시간 EPC 이벤트 데이터 처리를 위한 EMS(Event Management System) 컴포넌트를 제시하며 EMS에 대한 요구사항을 분석하고 설계하였다. EMS 컴포넌트는 RFID 리더를 통해서 끊임없이 들어오는 스트링 형태의 EPC 이벤트 데이터를 블록킹 없이 수집하는 역할을 한다. 또한, RFID 리더에서 수집한 데이터의 보정 및 필요 데이터 추출을 위한 다양한 필터링 기능을 제공함으로써 수집된 데이터의 정확성을 높이며 신속한 데이터 제공을 가능하게 한다.

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A study on the correction of the connection part of the underground facility 3D model and the correction of irregularities (지하시설물 3차원 모델 연결부 보정 및 요철보정에 관한 연구)

  • Kim, Sung Su;Han, Kyu Won;Heo, Sung Seo;Han, Sang Hoon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.429-435
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    • 2021
  • The integrated underground space map shows the underground facility(water supply, sewage, gas, electric power, communication, heating), underground structures (subway, underpass, underground walkway, underground parking lot, underground shopping mall, common ward), ground(drilling, coffin, geology) refers to a map constructed so that a total of 15 types of underground information can be checked at a glance on a three-dimensional basis. The purpose of this study is to develop a technology to correct the problem of curved surface processing and the unevenness of underground facility pipelines that occur in converting 2D underground facility data into 3D-based underground space integrated map(3D underground facility model). do it with. To this end, we first investigated and reviewed the domestic and foreign status of technologies that generate data on underground facilities based on three dimensions, and developed a surface correction algorithm and an unevenness correction algorithm to solve practical problems. Algorithms to verify the developed algorithm This applied correction program was developed. Based on the above process, the three-dimensional model of the underground facility could be produced identically to reality. This study is judged to have significance as a basic study to improve the utilization of the underground spatial integration map.

A Study on the Imputation for Missing Data in Dual-loop Vehicle Detector System (차량 검지자료 결측 보정처리에 관한 연구 (이력자료 활용방안을 중심으로))

  • Kim, Jeong-Yeon;Lee, Yeong-In;Baek, Seung-Geol;Nam, Gung-Seong
    • 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.

Calculation of Precision Orthometric Height by Orthometric Correction (정사보정에 의한 정표고의 정밀계산)

  • 윤홍식;조재명
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.22 no.2
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    • pp.117-125
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    • 2004
  • This paper describes the orthometric correction for determining the orthometric height obtained from height difference by precise leveling or GPS leveling. Five formulas are used to calculate the orthometric correction for two level lines as an examples. Based on the comparison results Strang van Hees' formula that use the surface gravity is better than the others to compute the orthometric corrections on spirit leveling and GPS/Leveling in an area where mean hight is high and terrain relief show high variability. Further research is necessary to improve the results of this study using Mader method, etc..

Error Correction of Real-time Situation Recognition using Smart Device (스마트 기기를 이용한 실시간 상황인식의 오차 보정)

  • Kim, Tae Ho;Suh, Dong Hyeok;Yoon, Shin Sook;Ryu, KeunHo
    • Journal of Digital Contents Society
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    • v.19 no.9
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    • pp.1779-1785
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    • 2018
  • In this paper, we propose an error correction method to improve the accuracy of human activity recognition using sensor event data obtained by smart devices such as wearable and smartphone. In the context awareness through the smart device, errors inevitably occur in sensing the necessary context information due to the characteristics of the device, which degrades the prediction performance. In order to solve this problem, we apply Kalman filter's error correction algorithm to compensate the signal values obtained from 3-axis acceleration sensor of smart device. As a result, it was possible to effectively eliminate the error generated in the process of the data which is detected and reported by the 3-axis acceleration sensor constituting the time series data through the Kalman filter. It is expected that this research will improve the performance of the real-time context-aware system to be developed in the future.

The antenna azimuth correction method for a special purpose mobile video terminal tracking antenna system implementation (특수목적을 위한 이동형 영상 터미널 장비의 추적안테나 시스템에 적용하기 위한 방위각보정 알고리즘 구현)

  • Kim, Nam-Woo;Hur, Chang-Wu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2541-2546
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    • 2013
  • In this paper, we proposed on the azimuth correction method for a line-of-sight data-link tracking antenna system. Tracking antenna system is essential to maintain line-of-sight between moving object and data-link equipment. In order to calculate the azimuth and elevation between the moving object and antenna system, we used GPS data. also to match the each coordinate systems, we used geomagnetic sensor or beacon. However, the geomagnetic disturbance-prone terrain in places difficult to correct calibration. The first step, finds the location of the strongest RF signal, we should remember the difference between the reference point and the detected position of the antenna. The second step, we could communicate each other. And the azimuth angle is calculated by GPS values. Despite the geomagnetic interference, we can correct the azimuth angle quickly and easily.

Calibration of VLP-16 Lidar Sensor and Vision Cameras Using the Center Coordinates of a Spherical Object (구형물체의 중심좌표를 이용한 VLP-16 라이다 센서와 비전 카메라 사이의 보정)

  • Lee, Ju-Hwan;Lee, Geun-Mo;Park, Soon-Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.2
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    • pp.89-96
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    • 2019
  • 360 degree 3-dimensional lidar sensors and vision cameras are commonly used in the development of autonomous driving techniques for automobile, drone, etc. By the way, existing calibration techniques for obtaining th e external transformation of the lidar and the camera sensors have disadvantages in that special calibration objects are used or the object size is too large. In this paper, we introduce a simple calibration method between two sensors using a spherical object. We calculated the sphere center coordinates using four 3-D points selected by RANSAC of the range data of the sphere. The 2-dimensional coordinates of the object center in the camera image are also detected to calibrate the two sensors. Even when the range data is acquired from various angles, the image of the spherical object always maintains a circular shape. The proposed method results in about 2 pixel reprojection error, and the performance of the proposed technique is analyzed by comparing with the existing methods.

The study on error, missing data and imputation of the smart card data for the transit OD construction (대중교통 OD구축을 위한 대중교통카드 데이터의 오류와 결측 분석 및 보정에 관한 연구)

  • Park, Jun-Hwan;Kim, Soon-Gwan;Cho, Chong-Suk;Heo, Min-Wook
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.109-119
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    • 2008
  • The number of card users has grown steadily after the adaption of smart card. Considering the diverse information from smart card data, the increase of card usage rate leads to various useful implications meaning in travel pattern analysis and transportation policy. One of the most important implications is the possibility that the data enables us to generate transit O/D tables easily. In the case of generating transit O/D tables from smart card data, it is necessary to filter data error and/or data missing. Also, the correction of data missing is an important procedure. In this study, it is examined to compute the level of data error and data missing, and to correct data missing for transit O/D generation.

Implementation of Compression-based ECC for Flash Memory Storage System (압축과 적응적 ECC를 활용한 플래시 저장 시스템의 구현)

  • Kim, Ki-Jin;Lim, Seung-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.30-32
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    • 2017
  • 낸드 플래시 메모리는 데이터 용량의 급격한 증가로 인해서 저장장치로 널리 사용되게 되었으나, 마찬가지로 급격히 증가하는 에러 발생률에 의해서 저장장치의 신뢰성에 문제가 되고 있다. 일반적으로 에러 발생에 대한 보정을 위해서 낸드 플래시 메모리는 ECC 기법을 사용하는데, 본 논문에서는 압축기법을 활용하여 줄어든 유효 데이터에 대한 적응적 ECC 기법을 적용함으로써 에러 발생시 에러 보정능력을 향상시켜줄 수 있는 기법을 제안하였다. 이러한 에러 보정방법을 통해서 낸드 플래시 메모리 기반의 저장 시스템에 대한 에러 발생률이 낮아짐을 보여주고 있다.

The Application of RFM for Geometric Correction of High-Resolution Satellite Image Data (고해상도 인공위성 영상데이터의 기하보정을 위한 RFM의 적용)

  • 안기원;임환철;서두천
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.2
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    • pp.155-164
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    • 2002
  • In this study, in order to discuss the geometric correction methods of high-resolution IKONOS satellite image, the existing polynomial model and RFM which is able to rectify satellite image without auxiliary data are applied to IKONOS satellite image data. Then the accuracy of ground point versus number of GCPs and each order of RFM are assessed. A numerical instability is removed by application of Tikhonov regularization method. As the results of this study, the root mean square errors of RFM is decreased more than 2 pixels in comparison with the two dimensional polynomial model.