• Title/Summary/Keyword: Pre Processing

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INTRODUCTION OF COMS IDACS SYSTEM FOR METEOROLOGCIAL AND OCDAN MISSION

  • Lim, Hyun-Su;Park, Durk-Jong;Koo, In-Hoi;Kang, Chi-Ho
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.67-70
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    • 2006
  • KARI is developing Image Data Acquisition and Control System (IDACS) for pre-processing meteorological and ocean data acquired on geostationary orbit. This paper describes the functions and architecture of IDACS and gives its operation policy including backup operation to overcome limitation of single-configured antenna system. The COMS IDACS provides the capability to receive the raw sensor data and disseminate processed MI data to users via a satellite. From the processed image data, users can produce a set of meteorological and ocean products for a wide range of applications. Most of IDACS subsystems are being developed by Korean technologies and experience acquired from previous projects. In case of COMS geometric correction software module, as it is closely dependent on the characteristics of imagers and spacecraft bus system, it is being co-developed with overseas prime contractor who develops spacecraft bus system.

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Clinical Application of Automatic EEG Interpretation: Automatic Detection of Artifacts and Vigilance Level

  • Nakamura, Masatoshi;Sugi, Takenao;Shibasaki, Hiroshi;Ikeda, Akio
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.572-577
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    • 1994
  • The automatic detection of artifacts and vigilance level as for pre-processing of the automatic EEG interpretation are discussed. The equations for detecting artifacts and vigilance level were determined such that they would conform to the procedures that an EEGer (one of the authors, H.S.) usually adopts for visual inspection of the actual EEG record. The automatic EEG interpretation was found to be improved by the newly developed pre-processing method even will artifact contamination or in drowsy condition of the subjects.

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A Study on Promotion of Value Added Logistics(VAL) Activities of Lumber Hinterland in Incheon Northport (인천북항 목재배후단지 부가가치물류 활성화방안)

  • Chung, Tae-Won;Han, Jong-Khill
    • Journal of Navigation and Port Research
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    • v.35 no.10
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    • pp.847-853
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    • 2011
  • The purpose of this study is to develope a series of business models for promotion of value added logistics activities of lumber hinterland in Incheon Northport. A set of policies to create value added developed are an import market diversification model using Incheon Northport, a model by building integration processing center by pallet facility, a model by joint logistics center, an export-oriented Pre-cut material development model and an export processing value added model.

A Study on the Servo Control of Bending Machine (Bending Machine의 서보제어에 관한 연구)

  • 송충현;김성식;김경석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.410-413
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    • 1997
  • Recent general press brake has many problems in cutting high accurate products in the progress of industry. Previous hand-operated press brake needs many pre-processing works to adjust bending angle and marking-off works to calculate bending length. Also, The hand-operating work makes many geometric errors and has difficulty for variety-mass production. To solve these problems, this paper proposes Computer Numerical Control (CNC) general press brake and development of servo-control system based on database for reduction of geometric errors and pre-processing work time.

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Pre-processing Algorithm for Detection of Slab Information on Steel Process using Robust Feature Points extraction (강건한 특징점 추출을 이용한 철강제품 정보 검출을 위한 전처리 알고리즘)

  • Choi, Jong-Hyun;Yun, Jong-Pil;Choi, Sung-Hoo;Koo, Keun-Hwi;Kim, Sang-Woo
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1819-1820
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    • 2008
  • Steel slabs are marked with slab management numbers (SMNs). To increase efficiency, automated identification of SMNs from digital images is desirable. Automatic extraction of SMNs is a prerequisite for automatic character segmentation and recognition. The images include complex background, and the position of the text region of the slabs is variable. This paper describes an pre-processing algorithm for detection of slab information using robust feature points extraction. Using SIFT(Scale Invariant Feature Transform) algorithm, we can reduce the search region for extraction of SMNs from the slab image.

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Crystallinity and Mechanical Properties of Glass Fiber Reinforced Thermoplastic Composites by Rapid Press Consolidation Technique (Consolidation 방법에 의해 제작된 유리섬유강화 복합재료의 결정성과 기계적성질에 관한 연구)

  • Shin, Ick-Jae;Kim, Dong-Young;Lee, Dong-Joo
    • Proceedings of the KSME Conference
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    • 2000.04a
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    • pp.91-96
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    • 2000
  • Glass fiber reinforced thermoplastic composites were manufactured by Rapid Press Consolidation Technique(RPCT) as functions of temperature, pressure and time in pre-heating, consolidation and solidification sections during the manufacturing processing. It was found that the material property is greatly affected by pre-heating temperature under vacuum, mold temperature and molding pressure. Among them, the temperature In the mold was the most critical factor in determining the mechanical properties and the molded conditions of specimen. The crystallinity of PET matrix was also investigated by differential scanning calorimetry(DSC) measurements for various processing conditions. The level of crystallinity($X_c$) depended strongly on the mold temperature, cooling rate and the type of composite. The difference in $X_c$ is believed to be one of important factors in characterizing the mechanical properties.

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Constraint Data Modeling for Spatiotemporal Data Application (시공간 데이터 응용을 위한 제약 데이터 모델링)

  • Jung, Hun Jo;Woo, Sung Koo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.4
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    • pp.45-56
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    • 2010
  • This paper suggests constraint data modeling based on constraint data presentation techniques to perform complex spatial database operation naturally. We were able to identify the limitation of extendibility of dimension and non-equal framework via relevant research for former schema of spatial database and query processing. Therefore we described generalized tuple of spatial data and the definition of suggested constraint data modeling. Also we selected MLPQ/PReSTO tool among constraint database prototype and compare standard functionality of ARC/VIEW. Then we design scenario for spatial operation using MLPQ/PReSTO and we suggested application effect after query processing. Based on above explanation, we were able to identify that we can process spatial data naturally and effectively using simple constraint routine on same framework via constraint data modeling.

Data-Exchange Interface Design of Pre-& Post-Processing System for Finite Element Structural Analysis Program (유한요소 구조해석 프로그램의 전후처리 접속장치의 설계)

  • Shin, Young-Shik;Suh, Jin-Kook
    • Journal of the Korean Society of Industry Convergence
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    • v.2 no.2
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    • pp.41-49
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    • 1999
  • In general, FORTRAN is used for numerical analysis and OPS5 or LISP is used for expert systems, This causes problems at the interface because the various applications require different computing languages or environments. This paper describes the approach used to take AutoCAD as a user-interface for an existing finite element structural analysis package. Some principles concerning database management related to data-exchange interface of pre- and post-processing system for FORTRAN structural analysis program are discussed, and numerical examples demonstrate the power of the combination of these programs.

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Review on Pre-processing of Earthquake Data from KEPRI Seismic Monitoring System (전력연구원 지진관측자료의 사전자료처리 기법 및 효과적인 활용에 관한 고찰)

  • 연관희;박동희;최원학;장천중
    • Journal of the Earthquake Engineering Society of Korea
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    • v.6 no.2
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    • pp.39-50
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    • 2002
  • Several pre-processing techniques for earthquake data from earthquake monitoring institutes in Korea including Korea Electric Power Research Institute are thoroughly reviewed. Among these techniques for removing an instrumental response, removing the non-causal ringing distortion by FIR filter, checking calibration status of seismic stations, and minimizing the window effect are introduced and applied to real data. It is also recommended that analysts evaluate S/N ratio in the frequency domain and consider the possibility of using the saturated earthquake data.

An Efficient Method for Reducing Times using Prediction in Live Migration of Virtual Machine (라이브 가상 머신 마이그레이션에서 예측을 통한 효율적인 시간 절감 방법)

  • Kim, Bo Seob;Kim, Sung Chun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.33-36
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    • 2013
  • 클라우드 컴퓨팅 기술은 이용자로 하여금 자원을 편리하게 이용할 수 있게 하며 낮은 TCO(Total Cost of Ownership)를 보장하는 기술로 널리 사용되고 있다. 특히 IaaS에서 많은 기대를 할 수 있는데, 이 기술 중에 하나가 서버 가상화 기술이다. 가상화된 서버를 관리하기 위해서 쓰이는 기술 중 하나가 바로 라이브 가상 머신 마이그레이션으로 이는 서비스를 제공하고 있는 서버의 구동 중지 시간을 줄여 이용자의 불편함을 최소로 하는 기술이다. 그러나 라이브 가상 머신 마이그레이션은 기존의 방법보다 마이그레이션 시간이 길어 네트워크 자원을 오래 쓰는 단점이 있다. 이런 단점을 보완하기 위해 본 논문에서는 pre-copy 예측을 통한 마이그레이션 시간 감축 기법을 제안한다. pre-copy를 예측하는 기법을 소개하고 이를 이용한 통제 알고리즘을 보이며 이를 Xen에 적용했을 때의 결과를 보인다. 적용해본 결과 기존의 방법보다 마이그레이션 시간이 최대 17% 향상됨을 볼 수 있었다.