• 제목/요약/키워드: Relative Standard Deviation

검색결과 609건 처리시간 0.029초

교각에 의한 하상세굴에 관한 실험적 연구 (Experimental Study on Local Bed Scour Due to Bridge Pier)

  • 이정규;정동원;이창해;육운수
    • 대한토목학회논문집
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    • 제14권6호
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    • pp.1349-1356
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    • 1994
  • 본 연구에서는 3가지 교각형상에 대하여 국부적 정지상세굴에 대한 실험결과를 분석하였다. 실험결과에 의하면 교각의 세굴은 $V/V_c=0.4{\sim}0.5$, $Fr_p{\fallingdotseq}0.2$일 때 시작되었고 상대세굴심은 유속비와 교각푸르드수와의 관계에서 선형적으로 증가하였다. 또한 상대세굴심은 ${\tau}_r$ < $10^{-4}$일 때는 선형적으로 증가하지만 ${\tau}_r$ > $10^{-4}$이 되면 일정해지는 경향을 가지며 모래의 기하표준편차(${\sigma}_g$)와 교각형상과도 깊은 관계가 있었다.

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Post Processing to Reduce Wrong Matches in Stereo Matching

  • Park, Hee-Ju;Lee, Suk-Bae
    • Korean Journal of Geomatics
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    • 제1권1호
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    • pp.43-49
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    • 2001
  • Although many kinds of stereo matching method have been developed in the field of computer vision and photogrammetry, wrong matches are not easy to avoid. This paper presents a new method to reduce wrong matches after matching, and experimental results are reported. The main idea is to analyze the histogram of the image attribute differences between each pair of image patches matched. Typical image attributes of image patch are the mean and the standard deviation of gray value for each image patch, but there could be other kinds of image attributes. Another idea is to check relative position among potential matches. This paper proposes to use Gaussian blunder filter to detect the suspicious pair of candidate match in relative position among neighboring candidate matches. If the suspicious candidate matches in image attribute difference or relative position are suppressed, then many wrong matches are removed, but minimizing the suppression of good matches. The proposed method is easy to implement, and also has potential to be applied as post processing after image matching for many kinds of matching methods such as area based matching, feature matching, relaxation matching, dynamic programming, and multi-channel image matching. Results show that the proposed method produces fewer wrong matches than before.

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Coincidence summing correction for a voluminous 152Eu source

  • Yoon, Eun Taek;Kang, Min Young;Kim, In Jung;Sun, Gwang Min;Choi, Hee-Dong
    • Nuclear Engineering and Technology
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    • 제52권6호
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    • pp.1266-1270
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    • 2020
  • A code is developed to correct for the coincidence summing effect in detecting a voluminous gamma source, and this code is applied to a152Eu standard source as a test case. The source is 1000 mL of liquid in a cylindrical shape. To calculate the coincidence summing effect, the cylindrical source is considered as 10(radial) × 8(height) sectional sources. For each sectional source, the peak efficiency and total efficiency are obtained by Monte Carlo simulation at each energy for 10 energies between 50 keV and 2000 keV. The efficiencies of each sector are then expressed as polynomials of gamma energy. To calculate the correction coefficients for the coincidence summing effect, the KORSUM code is used after modification. The magnitudes of correction are 4%-17% for the standard 152Eu source measured in this study. The relative deviation of 4.7% before the coincidence correction is reduced to 0.8% after the correction is applied to the efficiency based on the measured gamma line. Hence, this study has shown that a new method has been developed that is applicable for correcting the coincidence effect in a voluminous source, and the method is applied to the measured data of a standard 152Eu cylinder source.

HPLC-UV를 이용한 땃두릅나무 줄기의 지표 성분 동시 분석법 확립 (Establishment of HPLC-UV Analysis Method Validation for Simultaneous Analysis of Standard Compounds of Oplopanax elatus Nakai Stem)

  • 유남호;권용수;김명조
    • 생약학회지
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    • 제50권2호
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    • pp.133-140
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    • 2019
  • In our previous study, we found uracil, adenosine, protocatechuic acid, syringin (eleutheroside B) and scoparone (6, 7-dimethoxycoumarin) in the Oplopanax elatus Nakai Stem. High-performance liquid chromatography (HPLC) -UV was used to quality and quantify the internal marker compounds in the O. elatus extract after validation of method with linearity, limit of detection (LOD), limit of quantitation (LOQ), accuracy and precision. The specificity assessment visually confirmed that the substance was detected without the introduction of other substances. The established method showed high linearity of the calibration curve and coefficient of correlation ($R^2$) of over the 0.999. HPLC was reported as five standard compounds equivalent using the following linear equation based on the calibration curve. The accuracy of measurement was 84.34 ~ 119.74% and the relative standard deviation (RSD) value was 0.28 ~ 1.60%. In addition, our established method showed high repeatability. The RSD value was 1.10 ~ 6.81%. So, we found the amount of the internal marker compounds in the O. elatus extract. These results demonstrated that can be used to quality evaluation of the O. elatus.

Analysis Method of Volatile Sulfur Compounds Utilizing Separation Column and Metal Oxide Semiconductor Gas Sensor

  • Han-Soo Kim;Inho Kim;Eun Duck Park;Sang-Do Han
    • 센서학회지
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    • 제33권3호
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    • pp.125-133
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    • 2024
  • Gas chromatography (GC) separation technology and metal oxide semiconductor (MOS) gas sensors have been integrated for the effective analysis of volatile sulfur compounds (VSCs) such as H2S, CH3SH, (CH3)2S, and (CH3)2S2. The separation and detection characteristics of the GC/MOS system using diluted standard gases were investigated for the qualitative and quantitative analysis of VSCs. The typical concentrations of the standard gases were 0.1, 0.5, 1.0, 5.0, and 10.0 ppm. The GC/MOS system successfully separated H2S, CH3SH, (CH3)2S, and (CH3)2S2 using a celite-filled column. The reproducibility of the retention time measurements was at a 3% relative standard deviation level, and the correlation coefficient (R2) for the VSC concentration was greater than 0.99. In addition, the chromatograms of single and mixed gases were almost identical.

생체 시료 중 카테콜 아민류, 세로토닌 및 대사물질들의 HPLC/ECD 동시 정량분석 (Simultaneous Determination of Catecholamines, Serotonin and Their Metabolites in the Biological Sample Using HPLC/ECD)

  • 민지현;한영희
    • 약학회지
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    • 제55권4호
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    • pp.277-283
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    • 2011
  • Simultaneous monitoring of catecholamines and serotonin with their appropriate extraction from the biological samples is required in order to understand thoroughly the regulation of the central and peripheral nervous system. In the present research the segmented gradient elution with the solid phase extraction using a C18 cartridge rather than the previous isocratic elution with alumina extraction is successfully employed to determine norepinephrine (NE), epinephrine (E), dopamine (DA), serotonin (5HT), 3,4-dihydroxyphenylacetic acid (DOPAC) and 5-hydroxyindoleacetic acid (5HIAA) simultaneously within 20 minutes using 3,4-dihydroxyhydrocinnamic aicd as the internal standard (IS). Linearities were obtained in the concentration range between $5{\times}10^{-6}M$ and $1{\times}10^{-4}M$ for all 7 compounds with detection limits of 0.6~1.9 ${\mu}M$. The present HPLC/ECD method yielded reasonable accuracy (relative error; -1.4~1.1%) and precision (relative standard deviation; 0.4~1.9%) for 9 measurements of the standard solution consisting of NE, E, DA, 5HT, DOPAC and 5HIAA compounds. Recoveries of catecholamines, serotonin and their metabolites from human serum were in the range of 57%~86%. While the concentrations of NE and 5HT in the serum of normal Sprague-Dawley rat were found as $1.4{\times}10^{-6}M$ and $2.6{\times}10^{-6}M$, respectively, the contents of NE and 5HT in the serum of the stressed rat were increased 5.6 times and 1.4 times more, respectively.

Enhancement of durability of tall buildings by using deep-learning-based predictions of wind-induced pressure

  • K.R. Sri Preethaa;N. Yuvaraj;Gitanjali Wadhwa;Sujeen Song;Se-Woon Choi;Bubryur Kim
    • Wind and Structures
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    • 제36권4호
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    • pp.237-247
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    • 2023
  • The emergence of high-rise buildings has necessitated frequent structural health monitoring and maintenance for safety reasons. Wind causes damage and structural changes on tall structures; thus, safe structures should be designed. The pressure developed on tall buildings has been utilized in previous research studies to assess the impacts of wind on structures. The wind tunnel test is a primary research method commonly used to quantify the aerodynamic characteristics of high-rise buildings. Wind pressure is measured by placing pressure sensor taps at different locations on tall buildings, and the collected data are used for analysis. However, sensors may malfunction and produce erroneous data; these data losses make it difficult to analyze aerodynamic properties. Therefore, it is essential to generate missing data relative to the original data obtained from neighboring pressure sensor taps at various intervals. This study proposes a deep learning-based, deep convolutional generative adversarial network (DCGAN) to restore missing data associated with faulty pressure sensors installed on high-rise buildings. The performance of the proposed DCGAN is validated by using a standard imputation model known as the generative adversarial imputation network (GAIN). The average mean-square error (AMSE) and average R-squared (ARSE) are used as performance metrics. The calculated ARSE values by DCGAN on the building model's front, backside, left, and right sides are 0.970, 0.972, 0.984 and 0.978, respectively. The AMSE produced by DCGAN on four sides of the building model is 0.008, 0.010, 0.015 and 0.014. The average standard deviation of the actual measures of the pressure sensors on four sides of the model were 0.1738, 0.1758, 0.2234 and 0.2278. The average standard deviation of the pressure values generated by the proposed DCGAN imputation model was closer to that of the measured actual with values of 0.1736,0.1746,0.2191, and 0.2239 on four sides, respectively. In comparison, the standard deviation of the values predicted by GAIN are 0.1726,0.1735,0.2161, and 0.2209, which is far from actual values. The results demonstrate that DCGAN model fits better for data imputation than the GAIN model with improved accuracy and fewer error rates. Additionally, the DCGAN is utilized to estimate the wind pressure in regions of buildings where no pressure sensor taps are available; the model yielded greater prediction accuracy than GAIN.

PM10 연속자동측정기(β-ray) 등가성평가 및 비교관측 연구 (PM10 β-ray attenuation samplers (β-ray absorption method) equivalence evaluation and comparatively observed study)

  • 정원석;고희정;서원익;정지영;오상민;부경온
    • 한국입자에어로졸학회지
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    • 제19권1호
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    • pp.13-20
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    • 2023
  • The Asian dust observation network operates β-ray attenuation samplers to measure PM10 concentrations. In addition, equivalence evaluation and accuracy inspection(Precision Tests) are conducted every year for the reliability of data. β-ray attenuation samplers(16 units) were comparatively observed from May to June 2020 and from July to December 2021. During the observation period, the average daily temperature was the lowest at 6.4℃ in December and the highest at 27.3℃ in August. The average daily humidity ranged from 60% to 100%, but the average daily humidity was over 75% from July to September. The minimum value of the PM10 Gravimetric method was 5.0 ㎍/m3, the maximum value was 53.4 ㎍/m3, and the average value was 17.8 ㎍/m3. The equivalence evaluation results of the PM10 Gravimetric method and β-ray attenuation samplers satisfied the criteria (slope: 1±0.1, intercept: 0±0.5). A relative error analysis between the PM10 Gravimetric method and β-ray attenuation samplers equipment showed that the relative error increased when the concentration was low and the temperature and humidity were high. In addition, in the β-ray attenuation samplers 5-minute interval observation data in May 2020, a relatively large Standard devication was shown as an average maximum ±23.4 ㎍/m3 and a minimum ±15.2 ㎍/m3. At standard deviations of 10% and 90%, equipment with high variability (deviation) was measured at 6 ㎍/m3and 61 ㎍/m3, and equipment with low variability was measured at 12 ㎍/m3 and 47 ㎍/m3. It was confirmed that concentration differences occurred due to differences in variability for each equipment.

Robustness of Selection Indices in Murrah Buffaloes

  • Gandhi, R.S.;Joshi, B.K.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권2호
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    • pp.159-163
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    • 2004
  • Data pertaining to first lactation records of 316 Murrah buffaloes, progeny of 47 sires, maintained at NDRI Farm for a period of 18 years were analysed to construct selection indices and to examine their robustness by changing the relative economic values of different economic traits. A total of 120 selection indices were constructed for three sets of relative economic values ( 40 for each set) considering different combinations of seven first lactation traits viz. age at first calving (AFC), first lactation 305 day or less milk yield (FLMY), first lactation length (FLL), first calving interval (FCI), milk yield per day of first lactation length (MY/FLL), milk yield per day of first calving interval (MY/FCI) and milk yield per day age at second calving (MY/ASC). The three sets of relative economic values were based on economic values of different traits, 1% standard deviation of different traits and regression of different traits on FLMY. The 'optimum' indices for the first two sets had five traits each namely AFC, FLMY, FLL, FCI and MY/ASC giving improvement in aggregate genotype of Rupees 269.11 and Rs. 174.88, respectively. The accuracy of selection from both indices was 70.79 and 69.39%, respectively. The 'best' selection index from the third set of data again had five traits (AFC, FLMY, FLL, FCI and MY/FLL) giving genetic gain of Rs. 124.16 and accuracy of selection of 71.81%. The critcal levels or break-even points for FLMY for varying levels of AFC and FCI estimated from the "optimum index" suggested the need of enhancement of present production level of the herd or reduction of AFC or FCI. It was concluded that economic values of various first lactation traits were the most appropriate to construct selection indices as compared to other criteria of assigning relative economic weights in Murrah buffaloes.

GD-MS 분석 장비를 활용한 극미량 무기물 질량 분석을 위한 표준RSF 구축 및 응용 (Establishment and application of standard-RSF for trace inorganic matter mass analysis using GD-MS)

  • 장민경;양재열;이종현;윤재식
    • 분석과학
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    • 제31권6호
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    • pp.240-246
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    • 2018
  • 본 연구에서는 GD-MS를 활용하여 원소 별 함량이 다른 세 종류의 알루미늄 매질의 표준 시료를 분석하였다. 13 종의 원소(Mg, Si, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Ga, Sn, Pb)에 대해 검량 곡선을 작성하고 그 기울기를 RSF(Relative sensitivity reference)로 확립하였다. 검량 곡선은 X축을 IBR(Ion beam ratio)로, Y축을 표준 시료의 인증 값으로 작성하였다. 검량 곡선의 정밀도와 직선성을 평가하기 위해 RSD(Relative standard deviation)와 결정 계수를 계산하였다. 그 결과 모든 원소의 RSD는 10 %이내로 높은 정밀도를 나타냈다. 바나듐, 니켈 그리고 갈륨 원소를 제외한 대부분의 원소들은 결정 계수가 0.99 이상으로 1에 가까운 값을 얻어 직선성이 우수했다. 바나듐, 니켈 그리고 갈륨 원소는 결정 계수가 0.90~0.95 범위로 비교적 낮은 직선성을 나타냈으며, 이는 좁은 농도 범위로 인한 오차로 판단된다. 바나듐, 니켈 그리고 갈륨 원소는 결정 계수는 낮지만 각각의 표준 시료 RSF와 기울기로 확립한 표준RSF(Standard-RSF)가 비슷하여 정량 분석을 위한 RSF로 활용 가능할 것으로 판단된다. 다른 매질의 시료에 표준RSF(Al matrix)를 적용 가능 여부와 실제 표준 값에 대한 오차를 확인하기 위해서 철 매질(Fe matrix)의 표준 시료를 분석하여 검증하였다. 구리 원소를 제외한 6 종(Al, Si, V, Cr, Mn, Ni) 원소의 오차율은 약 30 %로 나타났으며, 구리 원소는 측정을 방해하는 불순물 화합물의 영향으로 오차율이 크게 나타난 것으로 판단된다. 일반적으로 동위원소$^{63}Cu$$^{54}Fe^{2+}-^{36}Ar$ 간섭을 받고 $^{65}Cu$$^{56}Fe-Al^{3+}$간섭을 받는다. 이를 분해하기 위해서는 8000 이상의 분해능이 필요하다. 하지만, 높은 분해능은 이온의 투과도를 낮추기 때문에 미량원소 분석에 어려움이 있다. 구리 원소를 제외한 알루미늄 외 5종의 원소에 대해서는 비교적 적은 오차로 정량 분석이 가능한 것으로 확인되었다.