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Impact ionization for GaAs using full band monte carlo simulation (Full 밴드 몬테칼로 시뮬레이션을 이용한 GaAs 임팩트이온화에 관한 연구)

  • 정학기
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.11
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    • pp.112-119
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    • 1996
  • Impact ionization model in GaAs has been presented by modified keldysh formula with two sets of power exponent of 7.8 and 5.6 in study. Impact ionization rate is derived from fermil's golden rule and ful lenergy band stucture based on empirical pseudopotential method. Impact ionization rates show anisotropic property in low energy region (<3eV), but isotropic in high energy region (3>eV). Full band monte calo simulator is coded for investigating the validity of the GaAs impact ionization model, and validity is checked by comparing impact ionization coefficients with experimental values and ones in anisotropic model. Valley transitions to energy alteration are explained by investigating electron motion in brillouin zone for full band model to electric field variation.

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A New Unified Scheme Computing the Quadrature Weights, Integration and Differentiation Matrix for the Spectral Method

  • Kim, Chang-Joo;Park, Joon-Goo;Sung, Sangkyung
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1188-1200
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    • 2015
  • A unified numerical method for computing the quadrature weights, integration matrix, and differentiation matrix is newly developed in this study. For this purpose, a spline-like interpolation using piecewise continuous polynomials is converted into a global spline interpolation formula, with which the quadrature formulas can be derived from integration and differentiation of the transformed function in an exact manner. To prove the usefulness of the suggested approach, both the Lagrange and tension spline interpolations are represented in exactly the same form as global spline interpolation. The applicability of the proposed method on arbitrary nodes is illustrated using two different sets of nodes. A series of validations using three test functions is conducted to show the flexibility in selecting computational nodes with the present method.

An Exploratory Study on the Taxonomy of Control Types in IS Outsourcing Project Management (IS 아웃소싱 프로젝트 관리를 위한 통제의 실증적유형에 관한 탐색적 연구)

  • Lee, Sang-Kon
    • Asia pacific journal of information systems
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    • v.15 no.1
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    • pp.25-44
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    • 2005
  • This study examines control types of IS outsourcing project management focusing on two sets of questions: What control types are implemented during IS outsourcing projects? How various control types affect the performance of IS outsourcing projects. In order to meet these objectives, four control types are developed using typology-approach: dynamic, contract-oriented, partnership-oriented, and passive. And then four control types are identified based on taxonomy-approach using cluster analysis from 66 projects: dynamic, contract-oriented, passive, and middle. The result shows that the derived taxonomy-types are similar to the typology-types except partnership-oriented type. The result also indicates that dynamic and contract-oriented types are in the highest performance, while passive type is in the least performance.

A novice’s guide to analyzing NGS-derived organelle and metagenome data

  • Song, Hae Jung;Lee, JunMo;Graf, Louis;Rho, Mina;Qiu, Huan;Bhattacharya, Debashish;Yoon, Hwan Su
    • ALGAE
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    • v.31 no.2
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    • pp.137-154
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    • 2016
  • Next generation sequencing (NGS) technologies have revolutionized many areas of biological research due to the sharp reduction in costs that has led to the generation of massive amounts of sequence information. Analysis of large genome data sets is however still a challenging task because it often requires significant computer resources and knowledge of bioinformatics. Here, we provide a guide for an uninitiated who wish to analyze high-throughput NGS data. We focus specifically on the analysis of organelle genome and metagenome data and describe the current bioinformatic pipelines suited for this purpose.

A Frequency Response Function-Based Damage Identification Method for Cylindrical Shell Structures

  • Lee, U-Sik;Jeong, Won-Hee;Cho, Joo-Yong
    • Journal of Mechanical Science and Technology
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    • v.18 no.12
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    • pp.2114-2124
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    • 2004
  • In this paper, a structural damage identification method (SDIM) is developed for cylindrical shells and the numerically simulated damage identification tests are conducted to study the feasibility of the proposed SDIM. The SDIM is derived from the frequency response function solved from the structural dynamic equations of damaged cylindrical shells. A damage distribution function is used to represent the distribution and magnitudes of the local damages within a cylindrical shell. In contrast with most existing modal parameters-based SDIMs which require the modal parameters measured in both intact and damaged states, the present SDIM requires only the FRF-data measured in the damaged state. By virtue of utilizing FRF-data, one is able to make the inverse problem of damage identification well-posed by choosing as many sets of excitation frequency and FRF measurement point as needed to obtain a sufficient number of equations.

Investigation of a Speed Control for a Wind Turbin Systsem (풍력발전시스템 속도제어의 실험적 고찰)

  • 임종환;최민호;허종철;김건훈
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.36-36
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    • 2000
  • The paper presents a speed control algorithm for a full pitch-controlled wind turbine system. Torque of a blade generated by wind energy is non-linear function of a wind speed, angular velocity, and pitch angle of the blade. The design of a cor_troller, in general, is performed by linearizing the torque in the vicinity of a operating point assuming the angular velocity of the blade is constant. For speed control, however, the angular velocity is no longer a constant, so that linearization of the torque in terms of a wind speed and pitch angle is impossible. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle, which makes it possible to design a controller without linearizing the non-linear torque model of the blade. The validity of the algorithm is demonstrated with the results produced through sets of experiments.

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Power Control of a Pitch-controlled Wind Power System (피치제어형 풍력발전시스템의 출력제어)

  • 임종환;허종철
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.4
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    • pp.84-91
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    • 2003
  • The paper presents a power control algorithm for a full pitch-controlled wind power system. The design of a pitch controller, in general, is performed by linearizing the torque in the vicinity of a operating point assuming the tip speed ratio is constant. For power control, however, the tip speed ratio is no longer a constant. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle. The reference pitch model is used to design a controller without linearizing the non-linear torque model of the blade. The validity of the algorithm is demonstrated with the results produced through sets of simulation.

A study on the flexural virations for the ring with symmetrical cross section (대칭단면 원환부품의 평면진동에 관한 연구)

  • 김광식;김강년
    • Journal of the korean Society of Automotive Engineers
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    • v.6 no.1
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    • pp.56-62
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    • 1984
  • Various automotive and machine parts are having the shape of circular ring and the study and the verification of its dynamic characteristics can be the important basis of quality control and improvement of performance of inner and outer race of ball and roller radial bearing, ring gear, seal, etc. In this study, three separate sets of governing equations on the flexural vibration of circular ring were formulated each considering the effects of viscous damping, rotatory inertia and shear deformation, and three frequency formulas were derived. Numerical values of frequencies of circular and rectangular cross section ring were tabulated and compared with experimental value. Some important parameters were found in the ring vibration characteristics.

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Recalibrating virial black hole mass estimators

  • Park, Da-Woo;Woo, Jong-Hak
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.63.1-63.1
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    • 2011
  • In understanding AGN physics, it is fundamental to determine black hole masses. Based on the gas kinematics of the broad-line region, black hole masses can be derived from the product of the width of the broad emission lines and the continuum/line luminosities. For a sample of 37 intermediate-luminosity AGN at z~0.4, we obtained high quality spectra (S/N~100) using the Low Resolution Imaging Spectrometer(LRIS) at the KECK telescope, in order to calibrate various black hole mass estimators based on the Mg II (2798A), the $H{\beta}$ (4861A), and the $H{\alpha}$ (6563$\bar{A}$) emission lines. Based on our multicomponent fitting analysis, we subtract continuum, FeII emission, and host galaxy starlight, reducing systematic errors in measuring emission line widths. Combining low S/N SDSS spectra with our high S/N keck spectra, we determine a set of ~30 black hole masses of the sample for each emission line. Then by comparing various sets of black hole masses, we internally calibrate each mass estimators and investigate uncertainties and limitations of each mass estimator.

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Imge segmentation algorithm using an extended fuzzy entropy (확장된 퍼지 엔트로피를 이용한 영상분할 알고리즘)

  • 박인규;진달복
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.6
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    • pp.1390-1397
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    • 1996
  • In this paper, in case of segmenting an image by a fuzzy entropy, an image segmentation algorithm is derived under an extended fuzzy entropy including the probabilistic including the probabilistic information in order to cover the toal uncertainty of information contained in fuzzy sets. By describing the image with fuzzysets, the total uncertainty of a fuzzy set consists of the uncertain information arising from its fuzziness and the uncertain information arising from the randomness in its ordinary set. To optimally segment all the boundary regions in the image, the total entropy function is computed by locally applving the fuzzy and Shannon entropies within the width of the fuzzy regions and the image is segmented withthe global maximum andlocal maximawhich correspond to the boundary regions. Comtional one by detecting theboundary regions more than 5 times.

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