• Title/Summary/Keyword: Orientation Parameter

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Feasibility of Using an Automatic Lens Distortion Correction (ALDC) Camera in a Photogrammetric UAV System

  • Jeong, Hohyun;Ahn, Hoyong;Park, Jinwoo;Kim, Hyungwoo;Kim, Sangseok;Lee, Yangwon;Choi, Chuluong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.6
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    • pp.475-483
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    • 2015
  • This study examined the feasibility of using an automatic lens distortion correction (ALDC) camera as the payload for a photogrammetric unmanned aerial vehicle (UAV) system. First, lens distortion for the interior orientation (IO) parameters was estimated. Although previous studies have largely ignored decentering distortion, this study revealed that more than 50% of the distortion of the ALDC camera was caused by decentering distortion. Second, we compared the accuracy of bundle adjustment for camera calibration using three image types: raw imagery without the ALDC option; imagery corrected using lens profiles; and imagery with the ALDC option. The results of image triangulation, the digital terrain model (DTM), and the orthoimage using the IO parameters for the ALDC camera were similar to or slightly better than the results using self-calibration. These results confirm that the ALDC camera can be used in a photogrammetric UAV system using only self-calibration.

Construction of Korean Space Weather Prediction Center: Storm Prediction Model

  • Kim, R.S.;Cho, K.S.;Moon, Y.J.;Yi, Yu;Choi, S.H.;Baek, J.H.;Park, Y.D.
    • Bulletin of the Korean Space Science Society
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    • 2008.10a
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    • pp.33.2-33.2
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    • 2008
  • Korea Astronomy and Space Science Institute (KASI) is developing an empirical model for Korean Space Weather Prediction Center (KSWPC). This model predicts the geomagnetic storm strength (Dst minimum) by using only CME parameters, such as the source location (L), speed (V), earthward direction (D), and magnetic field orientation of an overlaying potential field at CME source region. To derive an empirical formula, we considered that (1) the direction parameter has best correlation with the storm strength (2) west $15^{\circ}$ offset from the central meridian gives best correlation between the source location and the storm strength (3) consideration of two groups of CMEs according to their magnetic field orientation (southward or northward) provide better forecast. In this talk, we introduce current status of the empirical storm prediction model development.

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FE-simulation of Drawing Process for Al-1%Si Bonding Wire Considering Fine Si Particle (미세 Si 입자를 고려한 Al-1%Si 본딩 와이어의 신선공정해석)

  • Ko, D.C.;Hwang, W.H.;Lee, S.K.;Kim, B.M.
    • Transactions of Materials Processing
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    • v.15 no.6 s.87
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    • pp.421-427
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    • 2006
  • Drawing process of Al-1%Si bonding wire considering fine Si particle is analyzed in this study using FE-simulation. Al-1%Si boding wire requires electric conductivity because Al-1%Si bonding wire is used for interconnection in semiconductor device. About 1% of Si is added to Al wire for dispersion-strengthening. Distribution and shape of fine Si particle have strongly influence on the wire drawing process. In this study, therefore, the finite-element model based on the observation of wire by continuous casting is used to analyze the effect of various parameters, such as the reduction in area, the semi-die angle, the aspect ratio, the inter-particle spacing and orientation angle of the fine Si particle on wire drawing processes. The effect of each parameter on the wire drawing process is investigated from the aspect of ductility and defects of wire. From the results of the analysis, it is possible to obtain the important basic data which can be guaranteed in the fracture prevention of Al-1 %Si wire.

Prediction of the Effect of Defect Parameters on the Thermal Contrast Evolution during Flash Thermography by Finite Element Method

  • Yuan, Maodan;Wu, Hu;Tang, Ziqiao;Kim, Hak-Joon;Song, Sung-Jin;Zhang, Jianhai
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.1
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    • pp.10-17
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    • 2014
  • A 3D model based on the finite element method (FEM) was built to simulate the infrared thermography (IRT) inspection process. Thermal contrast is an important parameter in IRT and was proven to be a function of defect parameters. Parametric studies were conducted on internal defects with different depths, thicknesses, and orientations. Thermal contrast evolution profiles with respect to the time of the defect and host material were obtained through numerical simulation. The thermal contrast decreased with defect depth and slightly increased with defect thickness. Different orientations of thin defects were detected with IRT, but doing so for thick defects was difficult. These thermal contrast variations with the defect depth, thickness, and orientation can help in optimizing the experimental process and interpretation of data from IRT.

Effects of Chemical Vapor Deposition Parameters on The Hardness and the Structural Characteristics of TiN Film (TiN피막의 경도 및 구조적 특성에 미치는 화학증착 조건의 영향)

  • Shin, Jong-Hoon;Lee, Seong-Rae;Baek, Young-Hyun
    • Journal of the Korean institute of surface engineering
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    • v.20 no.3
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    • pp.106-117
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    • 1987
  • The microhardness and the structural characteristics of the chemically vapor deposited TiN film on the 430 stainless steel substrate have been investigated with various deposition parameters such as the deposition time, the total flow rate, the flow rate ratio $(H_2/N_2)$, and the deposition temperature. The most important factor to affect the microhardness of the TiN film in this study was the denseness of the structure in connection with the degree of the lattice strain. The relationship between the lattice parameter changes and the grain size variation under all deposition conditions generally followed the grain boundary relaxation model. The (111) preferred orientation prevailed in the early stage of the deposition conditions, however, the (200) preferred orientation was developed in the later stage. The surface morphology at optimum conditions displayed a dense diamond shaped structure and the microhardness of the films was high (1700-2400Hv) regardless of the type of the substrates used.

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A High-Performance Induction Motor Drive with 2DOF I-PD Model­Following Speed Controller

  • El-Sousy Fayez F. M.
    • Journal of Power Electronics
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    • v.4 no.4
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    • pp.217-227
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    • 2004
  • A robust controller that combines the merits of the feed-back, feed-forward and model-following control for induction motor drives utilizing field orientation control is designed in this paper. The proposed controller is a two-degrees-of­freedom (2DOF) integral plus proportional & rate feedback (I-PD) speed controller combined with a model-following (2DOF I-PD MFC) speed controller. A systematic mathematical procedure is derived to find the parameters of the 2DOF I-PD MFC speed controller according to certain specifications for the drive system. Initially, we start with the I-PD feed­back controller design, then we add the feed-forward controller. These two controllers combine to form the 2DOF I-PD speed controller. To realize high dynamic performance for disturbance rejection and set point tracking characterisitics, a MFC controller is designed and added to the 2DOF I-PD controller. This combination is called a 2DOF I-PD MFC speed controller. We then study the effect of the 2DOF I-PD MFC speed controller on the performance of the drive system under different operating conditions. A computer simulation is also run to demonstrate the effectiveness of the proposed controller. The results verify that the proposed 2DOF I-PD MFC controller is more accurate and more reliable in the presence of load disturbance and motor parameter variations than a 2DOF I-PD controller without a MFC. Also, the proposed controller grants rapid and accurate responses to the reference model, regardless of whether a load disturbance is imposed or the induction machine parameters vary.

Characteristics variation of CoCrTa/Si double layer thin film on variation of underlayer substrate temperature (하지층기판온도에 따른 CoCrTa/Si 이층박막의 특성변화)

  • 박원효;김용진;금민종;가출현;손인환;최형욱;김경환
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.11a
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    • pp.77-80
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    • 2001
  • Crystallographic and magnetic characteristics of CoCr-based magnetic thin film for perpendicular magnetic recording media were influenced on preparing conditions. In these, there is that substrate temperature was parameter that increases perpendicular coercivity of CoCrTa magnetic layer using recording layer. While preparation of CoCr-based doublelayer, by optimizing substrate temperature, we expect to increase perpendicular anisotropy of CoCr magnetic layer and prepare ferromagnetic recording layer with a good quality by epitaxial growth. CoCrTa/Si doublelayer showed a good dispersion angle of c-axis orientation $\Delta$$\theta$$_{50}$ caused by inserting amorphous Si underlayer which prepared at underlayer substrate temperature 250C. Perpendicular coercivity was constant, in-plane coercivity was controlled a low value about 2000e. This result implied that Si underlayer could restrain growth of initial layer of CoCrTa thin film, which showed bad magnetic properties effectively without participating magnetization patterns of magnetic layer. In case of CoCrTa/Si that prepared with ultra thin underlayer, crystalline orientation of CoCrTa was improved rather underlayer thickness 1nm, it was expected that amorphous Si layer played a important role in not only underlayer but also seed layer.t also seed layer.r.

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Aircraft Identification and Orientation Estimention Using Multi-Layer Neural Network (다층 신경망을 사용한 항공기 인식 및 3차원 방향 추정)

  • Kim, Dae-Young;Chien, Sung-Il;Son, Hyon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.1
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    • pp.35-45
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    • 1991
  • Multi layer neural network using backpropagation learning algorithm is used to achieve identification and orientation estimation of different classes of aircraft in the variety of 3-D orientations. In-plane distortion invarient$(L,\;{\Phi})$ feature was extracted from each aircraft image to be used for training neural network aircraft classifier. For aircraft identification the optimum structure of the neural network classifier is studied to obtain high classification performance. Effective reductioin of learning time was achieved by using modified backpropagation learning algorithm and varying, learning parameters.

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On vibrations of functionally graded carbon nanotube (FGCNT) nanoplates under moving load

  • Alaa A. Abdelrahman;Ismail Esen;Mohammed Y. Tharwan;Amr Assie;Mohamed A Eltaher
    • Advances in nano research
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    • v.16 no.4
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    • pp.395-412
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    • 2024
  • This article develops a nonclassical size dependent nanoplate model to study the dynamic response of functionally graded carbon nanotube (FGCNT) nanoplates under a moving load. Both nonlocal and microstructure effects are incorporated through the nonlocal strain gradient elasticity theory. To investigate the effect of reinforcement orientation of CNT, four different configurations are studied and analysed. The FGM gradation thorough the thickness direction is simulated using the power law. In the context of the first order shear deformation theory, the dynamic equations of motion and the associated boundary conditions are derived by Hamilton's principle. An analytical solution of the dynamic equations of motion is derived based on the Navier methodology. The proposed model is verified and compared with the available results in the literature and good agreement is found. The numerical results show that the dynamic performance of FGCNT nanoplates could be governed by the reinforcement pattern and volume fraction in addition to the non-classical parameters and the moving load dimensionless parameter. Obtained results are reassuring in design and analysis of nanoplates reinforced with CNTs.

A Study on the Long-term Sustainability of Green IT (그린IT 장기지속성에 관한 연구)

  • Lee, Kyeong-Rak;Kim, Jae-Jon;Lee, Sang-Joon
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.221-231
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    • 2014
  • TIn this paper, The need for a long-term sustainable Green IT strategy to pursue strategic partnerships and alliance was proposed. We made a research model to identify how social pressure, environmental orientation and environmental attractiveness affect into the Green IT strategy, and how Green IT strategy affects on Green IT company's environmental performance. In previous studies, the long-term persistence was used as the dependent variables, but in this paper it was used as a parameter variable. A survey of Green IT companies and a empirical analysis by statistical software package were conducted. It was verified that the mediating effect is between the social pressure, environmental orientation, environmental attractiveness and environmental performance by the long-term persistence.