• Title/Summary/Keyword: Geometric Data

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A New Method of the Global Interpolation in NURBS Surface (NURBS Surface Global Interpolation에 대한 한 방법)

  • 정형배;나승수;박종환
    • Korean Journal of Computational Design and Engineering
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    • v.2 no.4
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    • pp.237-243
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    • 1997
  • A new method is introduced for the interpolation in NURBS Surface. This method uses the basis functions to assign the parameter values to the arbitrary set of geometric data and uses the iteration method to compute the control net. The advantages of this method are the feasible transformation of the data set to the matrix form and the effective surface generation as a result, especially to the design engineer.

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A Study on the Meaning of Average Values and Its Teaching Statistics Area (통계 영역에서 대표값의 의미와 지도에 관한 고찰)

  • 박영희
    • School Mathematics
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    • v.3 no.2
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    • pp.281-294
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    • 2001
  • As a measure of the center of data, arithmetical mean, median, mode, harmonic mean and geometric mean are generally used. Students must learn qualitative aspect of average values as well as its calculation for its adequate use. As the result of the learning, they should be able to select the appropriate average value according to the characteristic of data and problem context. For this object, the historical origin and visual interpretation of average values were introduced in this paper. And to help teaching several meanings of average values, several examples including context were suggested.

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Derivations of moments for discrete probability distributions using backward difference operators (후진 미분 연산자를 이용한 이산확률분포의 적률 유도)

  • Cho, Kil-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.3
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    • pp.505-513
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    • 2011
  • In this paper, we obtain the derivations of moments of discrete probability distributions by using the backward difference operators. Also, we presents such derivations for several well-known distributions; they are the binomial, Poisson, geometric, hypergeometric and negative hypergeometric distributions.

A note on the geometric structure of the t-distribution

  • Cho, Bong-Sik;Jung, Sun-Young
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.575-580
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    • 2010
  • The Fisher information matrix plays a significant role in statistical inference in connection with estimation and properties of variance of estimators. In this paper, the parameter space of the t-distribution using its Fisher's matrix is de ned. The ${\alpha}$-scalar curvatures to parameter space are calculated.

3D Box Reconstruction Using Depth-Point (깊이좌표를 이용한 3차원 육면체 재구성)

  • Shin, Sung-Sik;Song, Ju-Whan;Gwun, Ou-Bong
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.739-740
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    • 2008
  • Method for 3D reconstruction from image points and geometric clues can be roughly classified as "model-based" and "constraint-based". We present a new method to reconstruct from one image a scene using depth-point. The our method is benchmarked synthetic data and its effectiveness is shown on photograph data.

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Development of interactive design system for plastic injection mold using personal computer (PC를 이용한 사출금형 몰드 베이스의 대화식 설계 시스템 개발)

  • 반갑수;이석희;안희태
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.181-185
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    • 1990
  • In design of the plastic injection mold, most of drawings are composed of basic entities. It is very easy to produce many kinds of drawings by Group Technology. Group Technology is a technique In which part similarities are used to classify parts into part families according to either geometric shape and size or processing requirements. Almost data for the mold are decided during the assembly design. A system which shows a good interfaces between the design stage and producing part exploding Is developed using AutoCAD system and data conversion technique.

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Canonical Correlation Biplot

  • Park, Mi-Ra;Huh, Myung-Hoe
    • Communications for Statistical Applications and Methods
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    • v.3 no.1
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    • pp.11-19
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    • 1996
  • Canonical correlation analysis is a multivariate technique for identifying and quantifying the statistical relationship between two sets of variables. Like most multivariate techniques, the main objective of canonical correlation analysis is to reduce the dimensionality of the dataset. It would be particularly useful if high dimensional data can be represented in a low dimensional space. In this study, we will construct statistical graphs for paired sets of multivariate data. Specifically, plots of the observations as well as the variables are proposed. We discuss the geometric interpretation and goodness-of-fit of the proposed plots. We also provide a numerical example.

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Dynamic Modeling of A Gun Barrel Considering Elastic Contact (탄성접촉을 고려한 포신의 동적 해석에 관한 연구)

  • 유형선;이승엽;박인규
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.04a
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    • pp.489-494
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    • 2001
  • This paper deals with a dynamic modeling of artillery system loaded by gun charge explosion during firing condition. Geometric and elastic gun data are used to modify a projectile interaction model. The maximum impact force on gun barrel was 15,000 N and the gun barrel moved about 1.3 m. A cannon bal] was presented to travel in the flexible gun, the traveling distance was about 23,000 m, and the angular velocity was about 10rad/sec. The artillery dynamic system using the multi-body dynamics enables us to obtain the data for the fatigue analysis.

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Evaluation of Energy Production for a Small Wind Turbine by Considering the Geometric Shape of the Deokjeok-Do Island (덕적도 지형을 고려한 소형풍력발전기 발전량 평가)

  • Jang, Choon-Man;Lee, Sang-Moon;Jeon, Wan-Ho;Lim, Tae-Gyun
    • Journal of Hydrogen and New Energy
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    • v.25 no.6
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    • pp.629-635
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    • 2014
  • This paper presents annual energy production (AEP) by a 1.5kW wind turbine due to be installed in Deokjeok-Do island. Local wind data is determined by geometric shape of Deokjeok-Do island and annual wind data from Korea Institute of Energy Research at three places considered to be installed the wind turbine. Numerical simulation using WindSim is performed to obtain flow pattern for the whole island. The length of each computation grid is 40 m, and k-e turbulence model is imposed. AEP is determined by the power curve of the wind turbine and the local wind data obtained from numerical simulation. To capture the more detailed flow pattern at the specific local region, Urumsil-maul inside the island, fine mesh having the grid length of 10m is evaluated. It is noted that the input data for numerical simulation to the local region is used the wind data obtained by the numerical results for the whole island. From the numerical analysis, it is found that a local AEP at the Urumsil-maul has almost same value of 1.72 MWh regardless the grid resolutions used in the present calculation. It is noted that relatively fine mesh used for local region is effective to understand the flow pattern clearly.

Geometric Correction of IKONOS-2 Geo-level Satellite Imagery Using LiDAR Data - Using Linear Features as Registration Primitivess (항공레이저측량 자료를 활용한 IKONOS-2 위성영상의 기하보정에 관한 연구 - 선형요소를 기하보정의 기본요소로 활용하여)

  • Lee, Jae-Bin;Kim, Yong-Min;Lee, Hyo-Seong;Yu, Ki-Yun;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.3
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    • pp.183-190
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    • 2007
  • To make use of surveying data obtained from different sensors and different techniques, it is a pre-requite step that register them in a common coordinate system. For this purpose, we developed methodologies to register IKONOS-2 Satellite Imagery using LiDAR(Light Detection And Ranging) data. To achieve this, conjugate features from these data should be extracted in advance. In this study, linear features are chosen as conjugate features. Then, to register them, observation equations are established from similarity measurements of the extracted features and the results was evaluated statistically. The results clearly demonstrate that the proposed algorithms are appropriate to register these data.