• 제목/요약/키워드: spherical data

검색결과 391건 처리시간 0.029초

각막지형과 동공크기에 의한 굴절교정값의 변화 (Changes of Refractive Errors Caused by Corneal Shape and Pupil Size)

  • 노연수;김상엽;문병연;조현국
    • 한국안광학회지
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    • 제19권3호
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    • pp.383-387
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    • 2014
  • 목적: 동공크기가 달라질 때 각막의 고유한 형태가 굴절검사 완전교정값에 미치는 영향을 조사하였다. 방법: 평균연령 $23.33{\pm}1.78$세의 30명(60안)을 대상으로 검사실 조도 760 lx와 2 lx에서 각각 자각적굴절검사를 실시하여 단안 완전교정하고, 동공의 크기를 측정하였다. 그리고 각막지형을 측정한 후 peak data를 이용하여 각막지형의 변화를 분석하였다. 결과: 검사실 조도 760 lx에서 측정된 동공크기는 3.74~4.00 mm, 2 lx에서는 5.52~5.90 mm로 측정되었다. 760 lx에서 2 lx로 조도가 변화될 때 (-)구면굴절력이 증가한 경우는 17안(28.3%), (+)구면굴절력이 증가한 경우는 10안(16.7%), (-)원주굴절력이 증가한 경우는 17안(28.8%), (-)원주굴절력이 감소한 경우는 9안(15.3%), 그리고 난시축이 변화한 경우는 36안(62.1%)이었다. 각막지형측정에서 나타난 peak data 분석 결과 각막 주경선의 변화는 4가지 형태로 분류되었다. 결론: 동공확대에 따른 각막굴절면 확장은 각막의 고유한 형태로 인해 자각적굴절 검사값을 변화시키는 요인으로 작용하므로, 자각적굴절검사는 주된 생활환경에 맞는 조도조건에서 실시하여야 한다.

일차 상변화 과정의 분자 동력학적 모사 (Molecular Dynamics Simulation of First-Order Phase Transition)

  • 이재연;윤웅섭
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2004년도 제29회 KOSCI SYMPOSIUM 논문집
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    • pp.161-166
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    • 2004
  • A study of argon droplet vaporization is conducted using molecular dynamics. Instead of using traditional method such as the Navier-Stokes equation. Molecular dynamics uses Lagrangian frame to describe molecular behavior in a system and uses only momentum and position data of all molecules in the system. So every property is not a hypothetical input but a statistical result calculated from the momentum and position data. This work performed a simulation of the first-order stability for phase transition of a three dementional submicron argon droplet within quiescent environment. Lennard-Jones 12-6 potential function is used as a intermolecular potential function. The molecular configuration is examined while an initially non-sperical droplet is changed into the spherical shape and droplet evaporates or condensates.

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서울시 학령전기 아동의 근시 유병률과 관련요인 (Prevalence Rate and Factors of Myopia in Preschool Children)

  • 김신자
    • 대한간호학회지
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    • 제35권2호
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    • pp.390-398
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    • 2005
  • Purpose: This study was aimed at providing basic data for developing a nursing intervention program which enables systematic and correct visual acuity care by discovering out visual acuity conditions, prevalence rate of myopia, and the factors related to myopia with Preschool children. Method: The subjects of this study consisted of 519 children between 3 and 6 years of age from 12 kindergartens in Seoul which were selected through multiple cluster sampling. Myopia was defined as the spherical equivalent (SE) of more than -0.5 diopters (D) in the right eye. The data was analyzed by t-test, 2-test, ANOVA, and logistic regression by using the SAS program. Result: The prevalence rate of myopia was $8.7\%$. the odds ratio of child myopia when one parent had myopia was 2.2 times higher than when neither parent had myopia. The odds ratio of child myopia when reading more than three books per week was 0.27 times higher than reading less than three books. Conclusion: Myopia should be continuously and intensively managed from the age of 3.

A Practical Approach to Mass Estimation of Loose Parts

  • Kim, Jung-Soo;Joon Lyou
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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    • pp.274-277
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    • 1999
  • This paper is concerned with estimating the mass of a loose part in the steam generator of a nuclear power plant. Although there is the basic principle known as “Hertz Theory”for estimating mass and energy of a spherical part impacted on an infinite flat plate, the theory is not directly applicable because real plants do not comply with the underlying ideal assumptions. (Say, the steam generator is of a cylindrical and hemisphere shape.) In this work, a practical method is developed based on the basic theory and considering amplitude and energy attenuation effects. Actually, the impact waves propagating along the plate to the sensor locations become significantly different in shape and frequency spectrum from the original waveform due to the plate and surrounding conditions, distance attenuation and damping loss. To show the validity of the present mass estimation algorithm, it has been applied to the mock-up impact test data and also to real plant data. The results show better performance comparing to the conventional Hertz schemes.

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MASS DISTRIBUTION IN THE CENTRAL FEW PARSECS OF OUR GALAXY

  • Oh, Seung-Kyung;S. Kim, Sung-Soo;Figer, Donald F.
    • 천문학회지
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    • 제42권2호
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    • pp.17-26
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    • 2009
  • We estimate the enclosed mass profile in the central 10 pc of the Milky Way by analyzing the infrared photometry and the velocity observations of dynamically relaxed stellar population in the Galactic center. HST/NICMOS and Gemini Adaptive Optics images in the archive are used to obtain the number density profile, and proper motion and radial velocity data were compiled from the literature to find the velocity dispersion profile assuming a spherical symmetry and velocity isotropy. From these data, we calculate the the enclosed mass and density profiles in the central 10 pc of the Galaxy using the Jeans equation. Our improved estimates can better describe the exact evolution of the molecular clouds and star clusters falling down to the Galactic center, and constrain the star formation history of the inner part of the Galaxy.

센서 정보를 활용한 스마트폰 모션 인식 (Motion Recognition of Smartphone using Sensor Data)

  • 이용철;이칠우
    • 한국멀티미디어학회논문지
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    • 제17권12호
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    • pp.1437-1445
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    • 2014
  • A smartphone has very limited input methods regardless of its various functions. In this respect, it is one alternative that sensor motion recognition can make intuitive and various user interface. In this paper, we recognize user's motion using acceleration sensor, magnetic field sensor, and gyro sensor in smartphone. We try to reduce sensing error by gradient descent algorithm because in single sensor it is hard to obtain correct data. And we apply vector quantization by conversion of rotation displacement to spherical coordinate system for elevated recognition rate and recognition of small motion. After vector quantization process, we recognize motion using HMM(Hidden Markov Model).

Memory-Efficient NBNN Image Classification

  • Lee, YoonSeok;Yoon, Sung-Eui
    • Journal of Computing Science and Engineering
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    • 제11권1호
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    • pp.1-8
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    • 2017
  • Naive Bayes nearest neighbor (NBNN) is a simple image classifier based on identifying nearest neighbors. NBNN uses original image descriptors (e.g., SIFTs) without vector quantization for preserving the discriminative power of descriptors and has a powerful generalization characteristic. However, it has a distinct disadvantage. Its memory requirement can be prohibitively high while processing a large amount of data. To deal with this problem, we apply a spherical hashing binary code embedding technique, to compactly encode data without significantly losing classification accuracy. We also propose using an inverted index to identify nearest neighbors among binarized image descriptors. To demonstrate the benefits of our method, we apply our method to two existing NBNN techniques with an image dataset. By using 64 bit length, we are able to reduce memory 16 times with higher runtime performance and no significant loss of classification accuracy. This result is achieved by our compact encoding scheme for image descriptors without losing much information from original image descriptors.

최소자승법을 이용한 수직다관절 Manipulator의 원호보간에 관한 효과적인 방법 (An Efficient Approach to Circular Curve Fitting of Articulated Manipulators Using Least Squares)

  • 김대영;최은재;정원지;서영교;홍형표
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.570-575
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    • 2002
  • This paper presents a new circular curve fitting approach of articulated manipulators, based on pseudoinverses. The paper aims at gaining the interpolation of circle from n data points, under the condition that the fitted circle should pass both a start point and an end point. In this paper, two algorithms of circular interpolation are presented. Prior to circular interpolation, are a spherical fitting should be performed, using least squares. In the first algorithm, the relationship between point data and normal vector on the sphere is used. In the second algorithm. the equation of plane which can be obtained from 3 points, i.e., a start point, an end point, and center of a sphere. The proposed algorithms are show to be efficient by using MATLAB-based simulation.

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Solar Interior Currents Presumed by Solar Surface Magnetic Fields

  • Bogyeong Kim;Yu Yi
    • 천문학회지
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    • 제56권2호
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    • pp.187-194
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    • 2023
  • The remote sensing technique of measuring the magnetic field was applied first to sunspots by Hale (1908). Later Babcock (1961) showed that the solar surface magnetic field on a global scale is a dipole in first-order approximation and that this dipole field reverses once every solar cycle. The Wilcox Solar Observatory (WSO) supplies the spherical harmonics coefficients of the solar corona magnetic field of each Carrington Rotation, calculated based on the remotely-sensed photospheric magnetic field of the solar surface. To infer the internal current system producing the global solar coronal magnetic field structure and evolution of the Sun, we calculate the multipole components of the solar magnetic field using the WSO data from 1976 to 2019. The prominent cycle components over the last 4 solar activity cycles are axis-symmetric fields of the dipole and octupole. This implies that the current inversion driving the solar magnetic field reversal originates from the equatorial region and spreads to the whole globe. Thus, a more accurate solar dynamo model must include an explanation of the origin and evolution of such solar internal current dynamics.

스펙트럴 클러스터링 - 요약 및 최근 연구동향 (Spectral clustering: summary and recent research issues)

  • 정상훈;배수현;김충락
    • 응용통계연구
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    • 제33권2호
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    • pp.115-122
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    • 2020
  • K-평균 클러스터링은 매우 널리 사용되고 있으나 유사도가 구면체 또는 타원체로 정의되어 각 클러스터가 볼록 집합 형태인 자료에는 좋은 결과를 주지만 그렇지 않은 경우에는 매우 형편 없는 결과를 나타낸다. 스펙트럴 클러스터링은 K-평균 클러스터링의 단점을 잘 보완해 줄 뿐아니라 여러 형태의 자료나 고차원 자료 등에 대해서도 좋은 결과를 나타내서 최근 인공 신경망 모형에 많이 이용되고 있다. 하지만, 개선되어야 할 단점도 여전히 많다. 본 논문에서는 스펙트럴 클러스터링에 대해 알기 쉽게 소개하고, 클러스터 갯수의 추정, 척도모수의 추정, 고차원 자료의 차원 축소 등 스펙트럴 클러스터링에 대한 최근의 연구 동향을 소개한다.