• 제목/요약/키워드: accuracy index

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GIS를 이용한 연속지적도 오류검증 방안 (A Study on the Error Detection of Attached Cadastral Maps using GIS)

  • 정구하;전철민;고준환;박유리
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.243-248
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    • 2007
  • This study proposed a procedure to improve the error defection of attached cadastral maps using digital map data. In addition, this study also provided the direction for the accuracy improvement of attached cadastral maps by comparing analysis methods. - such as centroid, Lee Sallee shape index, and area index. The analysis is performed as follows. First, by using centroid measurement, the center point of cadastral maps and attached cadastral maps are compared. Secondly by using Lee Sallee shape measurement, the location accuracy of range area is investigated. Thirdly, by using area measurement, the range area within allowable error scope is verified. Based on analysis, the discrepancy between cadastral maps and the attacked cadastral maps are detected as follows; 98.2% from Lee Sallee shape index, 41.8% from centroid, 15.4% from area index in the whole error.

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공기정합 스테이지의 위치결정오차 분석 및 보정 (Analysis and compensation of positioning error for aerostatic stage)

  • 황주호;박천홍;이찬흥;김승우
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.378-391
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    • 2002
  • A 250mm stroke aerostatic stage, which detects position with laser scale and is driven by linear motor, is made and analyzed positioning error in 20$\pm$ 0.5 $^{\circ}C$ controlled atmosphere, aiming at investigating positioning characteristic of ultra-precision stage. We prove this aerostatic stage has a 10nm micro step resolution by experiment. By means of analyzing laser interferometer system, the scale of measuring error is about 0.2-0.4$\mu\textrm{m}$ according to refractive index error from missing the temperature change. To improve laser interferometer system, compensate refractive index error using measuring data from thermocouple. And, confirm 0.10$\mu\textrm{m}$ repeatability and 0.13 $\mu\textrm{m}$ positioning accuracy using the compensating refractive index. Also, we confirm 0.07 ${\mu}{\textrm}{m}$ repeatability of the stage using capacitive displacement sensor.

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자유곡면가공기용 초정밀 회전테이블의 설계 및 평가 (Design and Evaluation of an Ultra Precision Rotary Table for Freeform Machine Tools)

  • 황주호;박천홍
    • 한국정밀공학회지
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    • 제27권7호
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    • pp.94-100
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    • 2010
  • This paper describes the design and evaluation procedure of an ultra-precision rotary table for freeform generating machined tools. Design of the thrust and journal hydrostatic bearings and experimental evaluation of the table were performed. To get the compact size and less lost motion direct drive servomotor with ultra precision encoder. From the considered design, following performance were confirmed by experiment. The total stiffness of the prototype rotary table was 483.6 $N/{\mu}m$ and 97.6 $N/{\mu}m$ for axial and radial direction, respectively. Rotational accuracy of the table was investigated by capacitive sensor and reversal measurement technique, and 0.10 ${\mu}m$ radial direction and 0.05 ${\mu}m$ axial direction of the rotational accuracy were confirmed. The micro resolution of the table was also investigated with displacement of capacitive sensor, and $0.5/10000^{\circ}$ of micro resolution was confirmed. Index accuracy of the table was evaluated by the autocollimator and polygon mirror, and the $\pm0.39$ arcsec accuracy and $\pm0.16$ arcsec repeatability of the table were confirmed. Those are under the general requirements of ultra precision rotary tables for freeform generating machined tools.

Accuracy of Data-Model Fit Using Growing Levels of Invariance Models

  • Almaleki, Deyab A.
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.157-164
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    • 2021
  • The aim of this study is to provide empirical evaluation of the accuracy of data-model fit using growing levels of invariance models. Overall model accuracy of factor solutions was evaluated by the examination of the order for testing three levels of measurement invariance (MIV) starting with configural invariance (model 0). Model testing was evaluated by the Chi-square difference test (∆𝛘2) between two groups, and root mean square error of approximation (RMSEA), comparative fit index (CFI), and Tucker-Lewis index (TLI) were used to evaluate the all-model fits. Factorial invariance result revealed that stability of the models was varying over increasing levels of measurement as a function of variable-to-factor ratio (VTF), subject-to-variable ratio (STV), and their interactions. There were invariant factor loadings and invariant intercepts among the groups indicating that measurement invariance was achieved. For VTF ratio (3:1, 6:1, and 9:1), the models started to show accuracy over levels of measurement when STV ratio was 6:1. Yet, the frequency of stability models over 1000 replications increased (from 69% to 89%) as STV ratio increased. The models showed more accuracy at or above 39:1 STV.

초음파를 이용한 한우의 도체육질 예측 (Prediction of Carcass Meat Quality Grade by Ultrasound in Hanwoo)

  • 이용준;김지용;이성기;송영한
    • Journal of Animal Science and Technology
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    • 제47권6호
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    • pp.1095-1100
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    • 2005
  • 본 시험은 초음파진단기를 이용한 한우의 도체육질 예측기법의 확립과 예측율 향상을 목적으로 실시하였다. 도체육질 등급별 초음파 표준화상과 초음파 육질 index를 활용한 decision tree 분석을 이용하여 24개월령 거세한우 66두의 도체육질 등급을 예측하였으며, 그 결과를 요약하면 다음과 같다. 초음파 육질 index를 이용한 의사결정나무 분석 결과, 초음파 화상 내 늑골의 선명도가 육질 등급에 가장 큰 영향을 미치는 것으로 나타났다. 거세한우 66두를 대상으로 초음파 육질 index에 의한 도체육질 등급의 예측율은 86.4%를 나타났으며, 도체 등급별 초음파 표준화상을 이용한 78.8%에 비해 7.6%의 예측율 향상을 보였다.

Landsat-8 OLI 영상과 식생 및 수분지수를 이용한 하천유역 토지피복분류 정확도 개선 (Improving Accuracy of Land Cover Classification in River Basins using Landsat-8 OLI Image, Vegetation Index, and Water Index)

  • 박주성;이원희;조명희
    • 한국지리정보학회지
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    • 제19권2호
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    • pp.98-106
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    • 2016
  • 원격탐사는 관찰하고자 하는 지역을 직접 방문하지 않고, 영상만으로도 적은 비용으로 짧은 시간 안에 대상지역을 연구하는데 있어 효율적인 기술이다. 본 연구에서는 가장 최근에 발사된 Landsat-8 OLI(Operational Land Imager) 영상을 이용하여 하천유역의 토지피복분류 정확도를 개선하는 방법을 제안하였다. 제안된 방법 중 첫 번째로 Landsat-8 OLI 영상을 이용하여 정규식생지수인 NDVI(Normalized Difference Vegetation Index)와 정규수분지수 NDWI(Normalized Difference Water Index)를 생성하였다. 두 번째로 원래의 영상에 생성된 NDVI와 NDWI 2개의 밴드를 Layer-Stacking하여 새로운 영상을 만들었다. 마지막으로 기존의 영상과 밴드조합을 적용한 새로운 영상에 각각 MLC(Maximum Likelihood Classification), SVM(Support Vector Machine)의 감독분류를 적용하였다. 하천피복분류를 할 때 정확도를 개선하는데 있어 그 의미가 있으며, 분류결과 MLC 분류방법을 적용하였을 때 약 8% 이상, SVM 분류방법을 적용하였을 때 약 1.6% 정도 개선되었다. 향후 다양한 영상과 밴드조합을 통한 연구가 이루어진다면 보다 나은 의사결정에 도움이 될 것으로 사료된다.

Classification of tree species using high-resolution QuickBird-2 satellite images in the valley of Ui-dong in Bukhansan National Park

  • Choi, Hye-Mi;Yang, Keum-Chul
    • Journal of Ecology and Environment
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    • 제35권2호
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    • pp.91-98
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    • 2012
  • This study was performed in order to suggest the possibility of tree species classification using high-resolution QuickBird-2 images spectral characteristics comparison(digital numbers [DNs]) of tree species, tree species classification, and accuracy verification. In October 2010, the tree species of three conifers and eight broad-leaved trees were examined in the areas studied. The spectral characteristics of each species were observed, and the study area was classified by image classification. The results were as follows: Panchromatic and multi-spectral band 4 was found to be useful for tree species classification. DNs values of conifers were lower than broad-leaved trees. Vegetation indices such as normalized difference vegetation index (NDVI), soil brightness index (SBI), green vegetation index (GVI) and Biband showed similar patterns to band 4 and panchromatic (PAN); Tukey's multiple comparison test was significant among tree species. However, tree species within the same genus, such as $Pinus$ $densiflora-P.$ $rigida$ and $Quercus$ $mongolica-Q.$ $serrata$, showed similar DNs patterns and, therefore, supervised classification results were difficult to distinguish within the same genus; Random selection of validation pixels showed an overall classification accuracy of 74.1% and Kappa coefficient was 70.6%. The classification accuracy of $Pterocarya$ $stenoptera$, 89.5%, was found to be the highest. The classification accuracy of broad-leaved trees was lower than expected, ranging from 47.9% to 88.9%. $P.$ $densiflora-P.$ $rigida$ and $Q.$ $mongolica-Q.$ $serrata$ were classified as the same species because they did not show significant differences in terms of spectral patterns.

작물모형 평가를 위한 통계적 방법들에 대한 비교 (Comparison of Statistic Methods for Evaluating Crop Model Performance)

  • 김준환;이충근;손지영;최경진;윤영환
    • 한국농림기상학회지
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    • 제14권4호
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    • pp.269-276
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    • 2012
  • 작물모형 평가에 사용되거나 사용할 수 있는 9가지 지표를 소개하였으며 이들의 특징은 다음과 같다. efficiency of model (EF)와 index of agreement (d)은 dimension이 없고 관측수(n)에 의존적이지 않았으며, dimension에 대해서만 자유로운 것은 relative root mean square error (RRMSE), bias factor (Bf)와 accuracy factor (Af)이다. Root mean sqruar, mean error, mean absolute error들은 관측수와 dimension에 영향을 받기 때문에 판단 시 주의가 필요하다. 따라서 이들의 특징을 파악하여 목적에 맞게 모형의 성능을 파악하여야 한다.

무릎 관절 추적 과제에 따른 편마비 환자의 운동조절 비교 (The Comparison of Motor Control During Tracking in the Knee Joint of Subjects With Stroke)

  • 정이정;조상현;전혜선
    • 한국전문물리치료학회지
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    • 제12권3호
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    • pp.39-45
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    • 2005
  • Tracking is an experimental paradigm that can be used to study information processing in continuous movements involving accurate, ongoing control of motor performance. The purpose of this study was to identify the effects of knee tracking performance. Six patients with hemiplegia and six age-matched controls participated in the study. The tracking test was administrated. It was composed with regular ranges of $0^{\circ}C$ to $40^{\circ}C$ and randomized range .2 to .4 Hz. Using the Mann-Whitney U test, a comparison was made between subjects who had suffered from stroke and subjects who were well coordinated. The Wilcoxon Matched Pairs Signed Ranks Test was used to compare and analyze the paretic and nonparetic sides of the stroke patients. The results of study were as follows: accuracy index of the tracking test was significantly higher on the control side than paretic and nonparetic sides. Accuracy index scores were significantly higher for nonparetic sides with stroke compared with paretic sides with stroke. This study shows tracking is impaired in paretic and nonparetic knee of subjects with stroke.

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Rule set of object-oriented classification using Landsat imagery in Donganh, Hanoi, Vietnam

  • Thu, Trinh Thi Hoai;Lan, Pham Thi;Ai, Tong Thi Huyen
    • 한국측량학회지
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    • 제31권6_2호
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    • pp.521-527
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    • 2013
  • Rule set is an important step which impacts significantly on accuracy of object-oriented classification result. Therefore, this paper proposes a rule set to extract land cover from Landsat Thematic Mapper (TM) imagery acquired in Donganh, Hanoi, Vietnam. The rules were generated to distinguish five classes, namely river, pond, residential areas, vegetation and paddy. These classes were classified not only based on spectral characteristics of features, but also indices of water, soil, vegetation, and urban. The study selected five indices, including largest difference index max.diff; length/width; hue, saturation and intensity (HSI); normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) based on membership functions of objects. Overall accuracy of classification result is 0.84% as the rule set is used in classification process.