• Title/Summary/Keyword: Generate Data

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3D Nano Object Recognition based on Phase Measurement Technique

  • Kim, Dae-Suk;Baek, Byung-Joon;Kim, Young-Dong;Javidi, Bahram
    • Journal of the Optical Society of Korea
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    • v.11 no.3
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    • pp.108-112
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    • 2007
  • Spectroscopic ellipsometry (SE) has become an important tool in scatterometry based nano-structure 3D profiling. In this paper, we propose a novel 3D nano object recognition method by use of phase sensitive scatterometry. We claims that only phase sensitive scatterometry can provide a reasonable 3D nano-object recognition capability since phase data gives much higher sensitive 3D information than amplitude data. To show the validity of this approach, first we generate various $0^{th}$ order SE spectrum data ($\psi$ and ${\Delta}$) which can be calculated through rigorous coupled-wave analysis (RCWA) algorithm and then we calculate correlation values between a reference spectrum and an object spectrum which is varied for several different object 3D shape.

THE GALACTIC-SCALE MOLECULAR OUTFLOWS IN STARBURST GALAXIES NGC 2146 AND NGC 3628

  • TSAI, AN-LI;MATSUSHITA, SATOKI
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.499-502
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    • 2015
  • Starburst galaxies have strong star formation activity and generate large scale outflows which eject a huge amount of gas mass. This process affects galaxy activity, and therefore, the detailed study of nearby starburst galaxies could provide valuable information for the study of distant ones. So far there have been only a few studies of galactic-scale molecular outflows due to the sensitivity limitation of telescopes. Our study provides two nearby examples, NGC 2146 and NGC 3628. We used Nobeyama Millimeter Array (NMA) CO(1-0) data, Chandra soft X-ray data, and NMA 3 mm data to study the kinematics of molecular outflows, their interaction with ionized outflows, and the star forming activity in the starburst region. We found that the gas ejected through molecular outflows is much more significant than that used to form stars.

Power Quality Data Compression using Wavelet Transform (웨이브렛 변환을 이용한 전력품질 데이터 압축에 관한 연구)

  • Chung Young-Sik
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.12
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    • pp.561-566
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    • 2005
  • This paper introduces a compression technique for power qualify disturbance signal via discrete wavelet transform(DWT). The proposed approach is based on a previous estimation of the stationary component of power quality disturbance signal, so that it could be subtracted from the original signal in order to reduce a dynamic range of signal and generate transient events signal, which is subsequently applied to the compression technique. The compression techniques is performed through the difference signal decomposition, thresholding of wavelet coefficients, and signal reconstruction. It presents the relation between compression efficiency and threshold. It shouts that the wavelet transform leads to a power quality data compression approach with high compression efficiency, small compression error and good de-nosing effect.

A Design of An Optimizer For Conversion of Parallel Constructs of Data Parallel Language Programs (자료 병렬 언어 프로그램의 병렬 구조 변환을 위한 최적화기 설계)

  • Gu, Mi-Sun;Park, Myeong-Sun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.3
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    • pp.792-803
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    • 1999
  • Most data parallel language compilers are source-to-source translators. Most Compilers of HPF which is recognized as a standard data parallel language convert a parallel program in PHF in a Fortran 77 program inserted message passing primitives. By the way, they currently generate significant amount of ineffective codes in the course of the conversion. Especially, FORALL construct is converted into several DO loops, so loop overhead of these codes is very increased. In this paper, we define and use relation distance vector to keep necessary informations. Then we evaluate and analyze execution time for the codes converted by our method and by PARADIGM method for various array sizes.

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Generating Grounded Theory with Community Partners

  • Gillespie Ardyth H.;Gillespie Jr Gilbert W.
    • Journal of Community Nutrition
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    • v.8 no.1
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    • pp.16-23
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    • 2006
  • This paper describes a methodology for conducting Community Nutrition research with rather than on people in a community to generate grounded theory. This collaborative grounded theory methodology incorporates local knowledge and wisdom and builds community leadership capacity through engaging community-based professionals and para-professionals in the research process. In addition to building capacity for participation and leadership in research, education and action, this approach can increase the validity and value of the research and facilitate its application in community led programs. The methodology has five components: background, study design, data gathering, data analysis and interpretation, and application of findings in community programming. Three stages of the data analysis component focus sequentially on each interview independently, comparing across interviews, and systematically testing theory developed in the first two.

Visualization of Local Climates Based on Geospatial Climatology (공간기후모형을 이용한 농업기상정보 생산)

  • Yun Jin Il
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.6 no.4
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    • pp.272-289
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    • 2004
  • The spatial resolution of local weather and climate information for agronomic practices exceeds the current weather service scale. To supplement the insufficient spatial resolution of official forecasts and observations, gridded climate data are frequently generated. Most ecological models can be run using gridded climate data to produce ecosystem responses at landscape scales. In this lecture, state of the art techniques derived from geospatial climatology, which can generate gridded climate data by spatially interpolating point observations at synoptic weather stations, will be introduced. Removal of the urban effects embedded in the interpolated surfaces of daily minimum temperature, incorporation of local geographic potential for cold air accumulation into the minimum temperature interpolation scheme, and solar irradiance correction for daytime hourly temperature estimation are presented. Some experiences obtained from their application to real landscapes will be described.

A Study of Maximum Voluntary Strength Evaluation for Korean Workers (한국근로자의 임의적 최대근력 평가를 위한 연구)

  • Chung, Min-Keun;Kee, Do-Hyung;Kim, Tae-Bok
    • Journal of Korean Institute of Industrial Engineers
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    • v.18 no.1
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    • pp.141-153
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    • 1992
  • In order to evaluate task loads required by a majority of manual materials handling(MMH) jobs, we have performed the assessment of arm strength, leg strength and torso strength for Korean workers in a scientific and systematic manner. Two hundred and eighty five employees from two local manufacturing plants in Pohang participated in this project. Maximum voluntary strengths were assessed for the aforementioned three postures, and these data were classified by gender. These strength data were also used to generate a strength predicition model, which can estimate the maximum voluntary strength for a population with specific age, height and weight. These strength data will be used for the prevention of occupational injuries which are frequently incurred by overexertion in manual materials handling jobs.

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A Study on the Spatial Composition of the Rehabilitation Medical Treatment in a General Hospital - focused on cases of metropolitan area - (종합병원 재활의학과의 공간구성에 대한 연구 - 수도권 사례 분석을 중심으로 -)

  • Phyo, Kun-Woo;Park, Jae-Seung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.11 no.1
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    • pp.23-31
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    • 2005
  • Rehabilitation medicine patients in Korea have increased due to the development of medical technology and the structural change of diseases resulted from life quality improvement. Following this trend, many hospitals are making efforts, such as renovating rehabilitation medicine, but architectural criteria are not sufficiently suggested for specialized rehabilitation medicine. The purpose of this study is to present the research data to improve the quality of rehabilitation medicine in general hospital. Data collecting skills such as drawing documents analysis, interviews, observation were used to examine the condition of rehabilitation medicine. And, case study method was used to generate the design data which can be used for the appropriate spatial composition and the area calculation

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A Proposal for Generation of Digital Elevation Models in Korea

  • Lee, Chang-Kyung;Park, Byung-Gil;Kim, Young-An;Min Heo
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.02a
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    • pp.73-81
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    • 2004
  • National Geographic Information Institute (NGII) in Korea, through National Geographic Information System (NGIS) Program, has prepared to generate and disseminate digital elevation data for Korea. This is a pilot research to propose a policy for generation, maintenance, and supply of Korea Digital Elevation Data (KDED). Customer demands for accuracy and resolution of DEM was surveyed through questionnaire. In order to investigate the quality, the technical efficiency and the production cost, a tentative DEM in a small test site was generated based on digital topographic maps (original paper map scale 1 :5,000), analytical plotter, and LIDAR. Accuracy standard for KDED was derived based on source data and generation methods. As results of this research, we recommend uniformly spaced grid model for KDED. Its preferable grid space is 5m in urban and its vicinity; and 10m in field and mountainous area. LIDAR has been valuated as a proper KDED generation method fulfilling customers demand for the accuracy.

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Ortho-rectification of a Digital Aerial Image using LiDAR-derived Elevation Model in Forested Area

  • Yoon, Jong-Suk
    • Korean Journal of Remote Sensing
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    • v.24 no.5
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    • pp.463-471
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    • 2008
  • The quality of orthoimages mainly depends on the elevation information and exterior orientation (EO) parameters. Since LiDAR data directly provides the elevation information over the earth's surface including buildings and trees, the concept of true orthorectification has been rapidly developed and implemented. If a LiDAR-driven digital surface model (DSM) is used for orthorectification, the displacements caused by trees and buildings are effectively removed when compared with the conventional orthoimages processed with a digital elevation model (DEM). This study utilized LiDAR data to generate orthorectified digital aerial images. Experimental orthoimages were produced using digital terrain model (DTM) and DSM. For the preparation of orthorectification, EO components, one of the inputs for orthorectification, were adjusted with the ground control points (GCPs) collected from the LiDAR point data, and the ground points were extracted by a filtering method used in a previous research. The orthoimage generated by DSM corresponded more closely to non-ground LiDAR points than the orthoimage produced by DTM.