• Title/Summary/Keyword: Standard sample

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A Study on the Physicochemical Characteristics of Saw Palmetto Extract (쏘팔메토(Saw Palmetto) 열매 추출물의 이화학적인 특성 연구)

  • Jeong-Eun Lee;Jung-Uk Kim;Hee-Young Lee;Ji-Hye Eom;Jong-Gil Kim;Young-Yul Lee;Hyeon-Ji Bae;Seung-Woo Kim;Ho-Jeong Yun;Su-Mi Han;Jong-Ho Koh;Moochang Kook;Young-Sang Lee
    • The Korean Journal of Food And Nutrition
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    • v.36 no.3
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    • pp.202-208
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    • 2023
  • FT-IR, GC/MS, and ATR-FT-IR analyses were performed to confirm the physicochemical characteristics of saw palmetto fruit (SPF) extract. FT-IR analysis of the standard product showed that the band corresponding to the carbonyl bond of free fatty acid was stronger than the band of acyl-glyceride. Sample E was identified as having the same trend as the standard sample. Fatty acid composition analysis revealed that the main fatty acids in the standard sample were lauric acid and oleic acid. The content of lauric acid ranged from approximately 30% to 38% in samples B, C, D, and E, while the content of oleic acid ranged from approximately 29% to 34%. The GC/MS analysis confirmed that the standard SPF extract consisted of fatty acids and fatty acid ethyl esters. Sample E demonstrated a similar pattern to the standard samples in terms of oleic acid, lauric acid, and fatty acid esters. ATR-FT-IR analysis indicated that only sample E was predicted to contain 100% saw palmetto extract. Therefore, these study findings can be considered fundamental data for analyzing the physicochemical characteristics of the composition of SPF extract.

A Variables Repetitive Group Sampling Plan for Minimizing Average Sample Number (평균 샘플 수 최소화를 통한 계량형 반복 샘플링 검사의 설계)

  • Park, Heekon;Moon, Young-gun;Jun, Chi-Hyuck;Balamurali, S.;Lee, Jaewook
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.3
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    • pp.205-212
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    • 2004
  • This paper proposes the variables repetitive group sampling plan where the quality characteristic following normal distribution has upper or lower specification limit. The problem is formulated as a non-linear programming problem where the objective function to minimize is the average sample number and the constraints are related to lot acceptance probabilities at acceptable quality level (AQL) and limiting quality level (LQL) under the operating characteristic curve. Sampling plan tables are constructed for the selection of parameters indexed by AQL and LQL in the cases of known standard deviation and unknown standard deviation. It is shown that the proposed sampling plan significantly reduces the average sample number as compared with the single or the double sampling plan.

Determination of Li by Isotope Dilution Inductively Coupled Plasma Mass Spectrometry

  • Park, Chang J.;Chung, Bag S.
    • Analytical Science and Technology
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    • v.8 no.4
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    • pp.427-434
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    • 1995
  • Inductively coupled plasma mass spectrometry combined with the isotope dilution method is used for the determination of lithium. The isotope dilution method is based on the addition of a known amount of enriched isotope (spike) to a sample. The analyte concentration is obtained by measuring the altered isotope ratio. The spike solution is calibrated through so called reverse isotope dilution with a primary standard. The spike calibration is an important step to minimize error in the determined concentration. It has been found essential to add spike to a sample and the primary standard so that the two isotope ratios should be as dose as possible. Since lithium is neither corrosive nor toxic, lithium is used as a chemical tracer in the nuclear power plants to measure feedwater flow rate. 99.9% $^7Li$ was injected into a feedwater line of an experimental system and sample were taken downstream to be spiked with 95% $^6Li$ for the isotope dilution measurements. Effects of uncertainties in the spike enrichment and isotope ratio measurement error at various spike-to-sample ratios are presented together with the flow rate measurement results in comparison with a vortex flow meter.

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Synthesis and Physico-Chemical Properties of Dicalcium Phosphate Dihydrate for Dental Abrasive (치아 연마용 인산일수소칼슘의 합성 및 물리화학적 성질)

  • 서성수;황성주;이기명;이계주
    • YAKHAK HOEJI
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    • v.37 no.1
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    • pp.66-75
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    • 1993
  • Dental abrasive, dicalcium phosphate dehydrate (DCPD) was prepared and the several important factors affecting on the quality of toothpaste were investigated by means of set test, glycerine absorption, Coulter counter test, color difference, BET adsorption, mercury porosimetery, and rheogram comparing with two foreign DCPDs, MFO4 and Dentphos K. Sample DCPD was prepared by reaction between 85% H$_{3}$PO$_{4}$ and 15% milk of lime at $39^{\circ}C$ (pH6.5), and stabilized with TSPP and TMP. The physicochemical properties of Sample DCPD were obtained as follows: whiteness (98.99), average particle size (15.5 $\mu\textrm{m}$), pH (7.9), remainder particle weight (0.49w/w%), glycerine absorption value (64 ml), and set test (passed). N$_{2}$ adsorption curves (BET) of three kinds of DCPD showed non-porous type III isotherm. BET adsorption parameters of sample DCPD showed that surface area was 24.9 m$^{2}$/g, total pore volume 0.09 cm$^{3}$/g and average pore radius 72.0 $\AA$. The rheogram of the toothpaste containing each DCPD showed bulged plastic flow with yield vlaue and thixotropic behavior. These results meet standard requirements as abrasive standard, and suggested that synthesized sample DCPD could be used a dental abrasive such as a high quality grade in practice as foreign DCPDs.

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A Novel Text Sample Selection Model for Scene Text Detection via Bootstrap Learning

  • Kong, Jun;Sun, Jinhua;Jiang, Min;Hou, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.771-789
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    • 2019
  • Text detection has been a popular research topic in the field of computer vision. It is difficult for prevalent text detection algorithms to avoid the dependence on datasets. To overcome this problem, we proposed a novel unsupervised text detection algorithm inspired by bootstrap learning. Firstly, the text candidate in a novel form of superpixel is proposed to improve the text recall rate by image segmentation. Secondly, we propose a unique text sample selection model (TSSM) to extract text samples from the current image and eliminate database dependency. Specifically, to improve the precision of samples, we combine maximally stable extremal regions (MSERs) and the saliency map to generate sample reference maps with a double threshold scheme. Finally, a multiple kernel boosting method is developed to generate a strong text classifier by combining multiple single kernel SVMs based on the samples selected from TSSM. Experimental results on standard datasets demonstrate that our text detection method is robust to complex backgrounds and multilingual text and shows stable performance on different standard datasets.

A dielectric constant measurement method of unprepared samples (비가공 물질의 유전율 측정 방법)

  • Lee, Won-Hui;Park, Wee-Sang
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.343-344
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    • 2008
  • A measurement method of the dielectric constant of materials whose standard sample is not prepared easily is proposed. The unprepared sample of the material is placed in a cavity, and the resonant frequency is measured. A commercial software simulates the same sample and the cavity leading to find the correct dielectric constant. The measured samples include a ceramic, a forced glass, and a powdered enamel.

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A Comparison of Average Time Rate with range and variance chart when using variable sampling interval (변량표본추출간격을 이용한 범위관리도와 분산관리도의 ATS비교)

  • 이희춘;지선수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.30
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    • pp.101-106
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    • 1994
  • The basic of the VSI charts is that if the sample statistic computed after a sample is taken shows some indication of a process change than the sampling interval before the next sample should be short otherwise long. This paper was shown the VSS chart can be considerably more efficient than the FSS chart and the effectiveness of VSI R chart with S chart used for monitoring a process standard deviation.

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Sample Size Estimation for Risk Assessment and Monitoring Based on Heavy Metal Monitoring Data from Food Items (위해평가 및 모니터링 수행을 위한 표본크기 추정연구: 식품 중 중금속 모니터링 데이터를 중심으로)

  • Kang, Hui Seung;Ko, Ahra;Jeong, Da-Hyun;Ha, Mira;Hwang, Myung-Sil;Hong, Jin-Hwan;Hwang, In Gyun;Yoon, Hae-Jung
    • Journal of Food Hygiene and Safety
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    • v.30 no.2
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    • pp.127-131
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    • 2015
  • This study aimed to calculate the required sample size to monitor food items during risk assessment studies. Based on a data set from a previous study (2,400 data points for heavy metal assessment from 17 food items), the required sample size was estimated by using a single equation with the standard deviation value, error range, and 95%-99% confidence intervals. The required sample size was calculated with each of the heavy metals for the assessment. The results showed that cadmium, lead, and mercury of required sample sizes for further monitoring were range of 7-90, 7-1, 062, and 11-238, respectively. We found that the required sample size varied depending on the standard deviation of the previous monitoring data. This study provides a basic method to determine the minimum sample size required in food monitoring to devise practical sampling strategies.

Comparisons of Probability and Statistics Education in Mathematics Textbooks in Korea High School

  • Lee, Sang-Bock
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.3
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    • pp.523-529
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    • 2004
  • In Korea, mathematics education has been changed according to the 7th national mathematics curriculum renovated by the Ministry of Education and Human Resources Development announcement in 1997. The education of probability and Statistics has been carried out as a part of this curriculum. We analyze and compare 3 kinds of mathematics textbooks for 10-12 grade students. Descriptions of random variable, sample variance and sample standard deviation, distribution of sample mean, and etc. which are on some textbooks, are misleaded in school education. We suggest the unbiased estimator of sample variance in textbooks and distributions of sample means with normal population assumption.

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