• Title/Summary/Keyword: 상관관계 오차

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An accuracy analysis of Cyberknife tumor tracking radiotherapy according to unpredictable change of respiration (예측 불가능한 호흡 변화에 따른 사이버나이프 종양 추적 방사선 치료의 정확도 분석)

  • Seo, jung min;Lee, chang yeol;Huh, hyun do;Kim, wan sun
    • The Journal of Korean Society for Radiation Therapy
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    • v.27 no.2
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    • pp.157-166
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    • 2015
  • Purpose : Cyber-Knife tumor tracking system, based on the correlation relationship between the position of a tumor which moves in response to the real time respiratory cycle signal and respiration was obtained by the LED marker attached to the outside of the patient, the location of the tumor to predict in advance, the movement of the tumor in synchronization with the therapeutic device to track real-time tumor, is a system for treating. The purpose of this study, in the cyber knife tumor tracking radiation therapy, trying to evaluate the accuracy of tumor tracking radiation therapy system due to the change in the form of unpredictable sudden breathing due to cough and sleep. Materials and Methods : Breathing Log files that were used in the study, based on the Respiratory gating radiotherapy and Cyber-knife tracking radiosurgery breathing Log files of patients who received herein, measured using the Log files in the form of a Sinusoidal pattern and Sudden change pattern. it has been reconstituted as possible. Enter the reconstructed respiratory Log file cyber knife dynamic chest Phantom, so that it is possible to implement a motion due to respiration, add manufacturing the driving apparatus of the existing dynamic chest Phantom, Phantom the form of respiration we have developed a program that can be applied to. Movement of the phantom inside the target (Ball cube target) was driven by the displacement of three sizes of according to the size of the respiratory vertical (Superior-Inferior) direction to the 5 mm, 10 mm, 20 mm. Insert crosses two EBT3 films in phantom inside the target in response to changes in the target movement, the End-to-End (E2E) test provided in Cyber-Knife manufacturer depending on the form of the breathing five times each. It was determined by carrying. Accuracy of tumor tracking system is indicated by the target error by analyzing the inserted film, additional E2E test is analyzed by measuring the correlation error while being advanced. Results : If the target error is a sine curve breathing form, the size of the target of the movement is in response to the 5 mm, 10 mm, 20 mm, respectively, of the average $1.14{\pm}0.13mm$, $1.05{\pm}0.20mm$, with $2.37{\pm}0.17mm$, suddenly for it is variations in breathing, respective average $1.87{\pm}0.19mm$, $2.15{\pm}0.21mm$, and analyzed with $2.44{\pm}0.26mm$. If the correlation error can be defined by the length of the displacement vector in the target track is a sinusoidal breathing mode, the size of the target of the movement in response to 5 mm, 10 mm, 20 mm, respective average $0.84{\pm}0.01mm$, $0.70{\pm}0.13mm$, with $1.63{\pm}0.10mm$, if it is a variant of sudden breathing respective average $0.97{\pm}0.06mm$, $1.44{\pm}0.11mm$, and analyzed with $1.98{\pm}0.10mm$. The larger the correlation error values in both the both the respiratory form, the target error value is large. If the motion size of the target of the sine curve breathing form is greater than or equal to 20 mm, was measured at 1.5 mm or more is a recommendation value of both cyber knife manufacturer of both error value. Conclusion : There is a tendency that the correlation error value between about target error value magnitude of the target motion is large is increased, the error value becomes large in variation of rapid respiration than breathing the form of a sine curve. The more the shape of the breathing large movements regular shape of sine curves target accuracy of the tumor tracking system can be judged to be reduced. Using the algorithm of Cyber-Knife tumor tracking system, when there is a change in the sudden unpredictable respiratory due patient coughing during treatment enforcement is to stop the treatment, it is assumed to carry out the internal target validation process again, it is necessary to readjust the form of respiration. Patients under treatment is determined to be able to improve the treatment of accuracy to induce the observed form of regular breathing and put like to see the goggles monitor capable of the respiratory form of the person.

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Uncertainty in the Course of Calibration of RF Multimeter using TVC (열전압변환기를 이용한 고주파전압계의 교정과 측정불확도)

  • 박정규;박석주;이환상;장경승;박명선
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.13 no.1
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    • pp.47-52
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    • 2002
  • It was virtually declared that measurement science must abandon the error analysis of measurement when ISO had published "Guide to Expression of uncertainty in Measurement" International inclination of measurement field in order to guarantee the traceability and confidence of measurement results discards the error concept and instead analyzes the measurement uncertainty. In this paper we establish a mathematical model of measurement and analyze all uncertainty factors as possible as for yielding the measurement uncertainty in the course of the calibration of RF multimeter using Transfer Standard, Thermal Voltage Converter We produce the expanded uncertainty by analyzing cable effects, correlation of thermocoupler and DC meter, DC source, RF source, attenuator, reflection coefficients and DUT.s and DUT.

Effect of Particle Size and Packing Density on the Determination of Grain Protein by the Infrared Grain Quality Analyzer (적외선 곡류품질분석기(GQA)의 단백질 정량에 미치는 측정시료의 Particle Size 및 충진밀도의 영향)

  • Shin, H.K.;Ryu, I.S.
    • Korean Journal of Food Science and Technology
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    • v.11 no.2
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    • pp.81-85
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    • 1979
  • A Neotec infrared instrument was evaluated for determination of protein contents of wheat and barley. Correlation coefficients between protein content determined on the instrument and by the Kjeldahl method were highly significant (0.97 to 0.98). Accuracy of analyses, measured by the standard error of a single test was 0.07 to 0.16, giving a coefficient of variability of 0.6 to 1. 1%. Method of grinding samples affected particle size and type. Particle size did not directly influence protein values; however, greater accuracy and reproducibility were achieved with smaller particle sizes. Packing density inside the loading tell also influenced the analytical results.

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Evaluation of e-learning in the anatomical education : The correlation between utilization frequency, satisfaction and academic achievement (해부학 가상강의에 따른 가상강의실 활용도, 만족도, 학업성취도 간의 상관관계)

  • Kim, Kwang-Hwan;Kim, Jee-Hee;Park, Jeong-Hyun
    • Proceedings of the KAIS Fall Conference
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    • 2010.11b
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    • pp.901-903
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    • 2010
  • 본 연구에서는 2007-2009년에 간호학과 및 스포츠과학부 해부학 강의에 있어 가상강의를 실시하였고 이에 따른 학생들의 가상강의 컨텐츠의 만족도와 가상강의실 활용빈도에 따른 학업성취도와의 상관관계를 분석하였다. 2007-2009학년도 1학기 해부학 강의를 가상강의 방식으로 수강한 2개 학과 231명을 대상으로 강의 종료 후 가상강의실 게시판 및 컨텐츠 활용 빈도, 개별 설문조사, 학기말 성적을 확보하여 상호간의 상관관계를 분석하였다. 각 학과별 일반 특성을 보기 위하여 연속 변수의 경우 평균과 표준오차를, 범주형 변수의 경우 그 분포 퍼센트를 이용하여 제시하였다. 학과별로 모든 학생들의 총점을 3분위수로 구분하여 낮음, 중간, 높음으로 분류하였으며, 조사된 모든 변수들의 일반 선형성을 GLM 모델을 이용하여 검증하였다. 사후 검증은 최소자승법을 이용하여 실시하였으며, 이를 이용하여 각각의 세부 집단별 점수 차이에 대한 유의성을 평가하였다. 관련 항목들 간 상관성 분석을 위하여 스피어만 상관계수를 이용하여 p 값 0.05를 기준으로 유의성 검증을 실시하였다. 모든 통계분석은 SAS 9.12 버전을 이용하여 분석하였다. 설문 대상자들은 학과와 해부학 성적에 상관없이 가상강의 전반에 대해 높은 만족도를 가졌다. 해부학 성적이 좋을수록 가상강의실 접속횟수가 유의하게 높았다. 아울러 해부학 성적이 좋을수록 난이도가 낮고 흥미도는 높게 나타났다. 또한 평가 요인들 간의 상관관계를 분석한 결과, 가상강의의 만족도는 흥미도와 전공과의 연계성과 밀접한 관련이 있었다. 가상강의 게시판을 통한 과제물 관리, 질의응답에 대한 적절성에 대해서는 성적에 따라 일부 유의한 차이가 나타났으나 높은 만족도를 나타내었다. 결론적으로 건강 및 의료 전공자들을 위한 해부학 강의에 있어 가상강의의 도입과 적용은 성공적이었으며, 이는 해부학 전공 교수진이 매우 부족한 현실에서 해부학 강의의 질적 저하를 막고 효율적인 교육을 위한 대안이 될 것으로 판단된다. 단, 해부학 가상강의 컨텐츠의 개선, 자료 보강 및 가상강의의 접근성 확보는 시급히 개선해야할 과제로 남아 있다.

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Improved Vector Error Diffusion for Reduction of Smear Artifact in the Boundary Regions (경계 영역에서의 색번짐 현상을 줄이기 위한 향상된 벡터 오차 확산법)

  • 이순창;조양호;김윤태;이철희;하영호
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.111-120
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    • 2004
  • This paper proposes a vector error diffusion method for smear artifact reduction in the boundary region. This artifact mainly results from a large accumulation of quantization errors. In particular, color bands with a smear artifact, the width of a few pixels appear along the edges. Accordingly, to reduce this artifact, the proposed halftoning process excludes the large accumulated Quantization error by comparing the vector norms and vector angles between the error-corrected vector and eight primary color patches. When the vector norm of the error corrected vector is larger than those of eight primary color patches, the quantization error vector is excluded from the quantization error distribution process. In addition, the quantization error is also excluded when the angle between eight primary color patches and error corrected vector is large. As a result, the proposed method enables a visually pleasing halftone pattern to be generated by all three color separations into account in a device- independent color space and reduces smear artifact in the boundary regions.

Cognitive Distance Mapping: a Survey-Based Experiment Using GPS and GIS

  • Park, Sun-Yurp
    • Spatial Information Research
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    • v.14 no.4 s.39
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    • pp.433-449
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    • 2006
  • Two primary objectives of this study were to determine important personal factors in performing cognitive distance mapping, and to understand how human's cognitive distance mapping capabilities were influenced by reference and subjects' locations using Global Positioning System (GPS). Undergraduate and graduate students at the University of Kansas, USA were interviewed and surveyed throughout the campus area giving them a paper-and-pencil test. Study results showed that females had more accurate cognitive mapping capability than males regardless of ethnic background and academic levels. Generally, subjects with longer affiliation with the university, higher ages and academic levels had less variability in their mapping accuracy. Subjects tended to more accurately map the target locations closer to the reference points than those located farther away, and subjects who were closer to a reference point performed their distance mapping better than those farther away. A correlation analysis reported that male subjects used reference-to-target and subject-to-reference distances more sensitively than females to estimate the locations of the targets. This result indicates that males might have used the reference point-based map scale more strenuously than females.

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A comparison of the absolute error of estimated speaking fundamental frequency (AEF0) among etiological groups of voice disorders (음성장애의 병인 집단 간 추정 발화 기본주파수 절대 오차 비교)

  • Seung Jin Lee;Jae-Yol Lim;Jaeock Kim
    • Phonetics and Speech Sciences
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    • v.15 no.4
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    • pp.53-60
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    • 2023
  • This study compared the absolute error of estimated fundamental frequency (AEF0) using voice - (VRP) and speech range profile (SRP) tasks across various etiological groups with voice disorders. Additionally, we explored the association between AEF0 and related voice parameters within each specific etiological group. The participants included 120 individuals, comprising 30 each from the functional (FUNC), organic (ORGAN), and eurological (NEUR) voice disorder groups, and a normal control group (NC). Each participant performed voice and SRP tasks, and the fundamental frequency of connected speech was measured using electroglottography (EGG). When comparing the AEF0 measures across the etiological groups, there were no differences in Grade and Severity among the patients. However, variations were observed in AEF0VRP and AEF0SUM. Specifically, AEF0VRP was higher in the ORGAN group than in the FUNC and NC groups, whereas AEF0SUM was higher in the ORGAN group than in the NC group. Furthermore, within FUNC and NEUR, AEF0 showed a positive correlation with Grade, while in ORGAN, it exhibited a positive correlation with the mean closed quotient (CQ). Attention should be paid to the application of AEF0 measures and related voice variables based on the etiological group. This study provides foundational information for the clinical application of AEF0 measures.

Evaluation of NDVI Retrieved from Sentinel-2 and Landsat-8 Satellites Using Drone Imagery Under Rice Disease (드론 영상을 이용한 Sentinel-2, Landsat-8 위성 NDVI 평가: 벼 병해 발생 지역을 대상으로)

  • Ryu, Jae-Hyun;Ahn, Ho-yong;Na, Sang-Il;Lee, Byungmo;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1231-1244
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    • 2022
  • The frequency of exposure of field crops to stress situations is increasing due to abnormal weather conditions. In South Korea, large-scale diseases in representative paddy rice cultivation area were happened. There are limits to field investigation on the crop damage due to large-scale. Satellite-based remote sensing techniques are useful for monitoring crops in cities and counties, but the sensitivity of vegetation index measured from satellite under abnormal growth of crop should be evaluated. The goal is to evaluate satellite-based normalized difference vegetation index (NDVI) retrieved from different spatial scales using drone imagery. In this study, Sentinel-2 and Landsat-8 satellites were used and they have spatial resolution of 10 and 30 m. Drone-based NDVI, which was resampled to the scale of satellite data, had correlation of 0.867-0.940 with Sentinel-2 NDVI and of 0.813-0.934 with Landsat-8 NDVI. When the effects of bias were minimized, Sentinel-2 NDVI had a normalized root mean square error of 0.2 to 2.8% less than that of the drone NDVI compared to Landsat-8 NDVI. In addition, Sentinel-2 NDVI had the constant error values regardless of diseases damage. On the other hand, Landsat-8 NDVI had different error values depending on degree of diseases. Considering the large error at the boundary of agricultural field, high spatial resolution data is more effective in monitoring crops.

Correlation Analysis between Soil Shear Strength Parameters and Cone Index Using Artificial Neural Networks - 1 (인공신경망을 적용한 지반 전단강도정수와 콘지수 사이의 상관관계 분석 1)

  • Moon, In-Jong;Kim, Young-Uk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2234-2241
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    • 2015
  • This study has been undertaken to develop a relationship between the shear strength coefficients and the cone index. The theoretic mathematical equations for the relationship were rigorously investigated, and then a Artificial Neural Network(ANN) analysis was adapted to enhance the reliability of the investigation. The theoretical investigation involved various assumptions resulting in the significant error involvement of geotechnical behaviors of ground. Therefore, a model using the ANN has been learned to enhance the prediction of the cone index form the shear strength parameters. Site investigation reports from various construction fields were used for ANN model learning. The results of the study show that the model predicts the cone index from the shear strength parameters of soils very well. The further study that is undertaking has a potential promise of the generalized prediction technique for the cone index from the soil parameters.

Adaptive Noise Removal Based on Nonstationary Correlation (영상의 비정적 상관관계에 근거한 적응적 잡음제거 알고리듬)

  • 박성철;김창원;강문기
    • Journal of Broadcast Engineering
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    • v.8 no.3
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    • pp.278-287
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    • 2003
  • Noise in an image degrades image quality and deteriorates coding efficiency. Recently, various edge-preserving noise filtering methods based on the nonstationary image model have been proposed to overcome this problem. In most conventional nonstationary image models, however, pixels are assumed to be uncorrelated to each other in order not to Increase the computational burden too much. As a result, some detailed information is lost in the filtered results. In this paper, we propose a computationally feasible adaptive noise smoothing algorithm which considers the nonstationary correlation characteristics of images. We assume that an image has a nonstationary mean and can be segmented into subimages which have individually different stationary correlations. Taking advantage of the special structure of the covariance matrix that results from the proposed image model, we derive a computationally efficient FFT-based adaptive linear minimum mean-square-error filter. Justification for the proposed image model is presented and effectiveness of the proposed algorithm is demonstrated experimentally.