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Study on the Management of Mix Proportioning for the Military Hardtack by Nutritional Components Analysis (일반성분분석을 통한 군납 건빵의 배합비 관리 연구)

  • Lee, Donghun;Jeong, Minhong;Byun, Ji Eun;Lee, Kwang-Geun
    • Food Engineering Progress
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    • v.23 no.1
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    • pp.16-21
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    • 2019
  • In this study, the nutritional components (moisture, fat, protein, ash) value of military hardtack was collected and analyzed to control the mixing ratio of rice and flour. Hardtack from 4 factories was analyzed by 3 testing organizations certified by the Korean Ministry Food and Drug Safety. In addition, the accuracy and collaborative study possibility of each organization were evaluated in Q-test and HorRat. Also, other hardtack groups with different mixing ratios were compared to quality control of hardtack by I-MR charts. As a result, the HorRat and Q-test values of test organizations were 0.5-6.2 and 0.08-0.91, respectively. The quality of hardtack by the factories was similar. However, for accurate management of the mixing ratio, suggesting both upper and lower limit requirements of the nutritional components is necessary.

Effects of lethal concentration, hematological parameters and plasma components of common carp, Cyprinus carpio by waterborne acute nitrite exposure (수인성 아질산 급성 노출에 따른 잉어, Cyprinus carpio의 반수치사농도, 혈액학적 성상 및 혈장성분의 영향)

  • So-Won Park;Su-Min An;A-Hyun Jo;Jun-Hwan Kim
    • Journal of fish pathology
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    • v.36 no.2
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    • pp.349-360
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    • 2023
  • Common carp (Cyprinus carpio) (Weight 23.05 ± 6.98 g, Length 12.65 ± 1.38 cm) were exposed to waterborne nitrite at 0, 50, 100, 200, 400 and 800 mg NO2 -/L for 96 hours. The lethal concentration 50 (LC50) of C. carpio exposed to waterborne nitrite was 398.6 mg NO2 -/L. Hemoglobin, hematocrit and RBC count were significantly decreased by waterborne nitrite exposure. The MCV (mean mean corpuscular volume) (µl), MCH (mean corpuscular hemoglobin) (pg) and MCHC (mean corpuscular hemoglobin concentration) (%) were significantly increased. The inorganic component, plasma calcium, was significantly increased, and the organic components such as plasma cholesterol and total protein were significantly increased showing a similar tendency with calcium. In enzymatic components, the AST and ALT were also significantly increased by nitrite exposure. The results of this study indicate that exposure to nitrite can affect the survival and hematological physiology of C. carpio.

Depth Scaling Strategy Using a Flexible Damping Factor forFrequency-Domain Elastic Full Waveform Inversion

  • Oh, Ju-Won;Kim, Shin-Woong;Min, Dong-Joo;Moon, Seok-Joon;Hwang, Jong-Ha
    • Journal of the Korean earth science society
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    • v.37 no.5
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    • pp.277-285
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    • 2016
  • We introduce a depth scaling strategy to improve the accuracy of frequency-domain elastic full waveform inversion (FWI) using the new pseudo-Hessian matrix for seismic data without low-frequency components. The depth scaling strategy is based on the fact that the damping factor in the Levenberg-Marquardt method controls the energy concentration in the gradient. In other words, a large damping factor makes the Levenberg-Marquardt method similar to the steepest-descent method, by which shallow structures are mainly recovered. With a small damping factor, the Levenberg-Marquardt method becomes similar to the Gauss-Newton methods by which we can resolve deep structures as well as shallow structures. In our depth scaling strategy, a large damping factor is used in the early stage and then decreases automatically with the trend of error as the iteration goes on. With the depth scaling strategy, we can gradually move the parameter-searching region from shallow to deep parts. This flexible damping factor plays a role in retarding the model parameter update for shallow parts and mainly inverting deeper parts in the later stage of inversion. By doing so, we can improve deep parts in inversion results. The depth scaling strategy is applied to synthetic data without lowfrequency components for a modified version of the SEG/EAGE overthrust model. Numerical examples show that the flexible damping factor yields better results than the constant damping factor when reliable low-frequency components are missing.

Diurnal and Seasonal Variations in Mid-Latitude Geomagnetic Field During International Quiet Days: BOH Magnetometer

  • Hwang, Junga;Kim, Hyang-Pyo;Park, Young-Deuk
    • Journal of Astronomy and Space Sciences
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    • v.29 no.4
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    • pp.329-336
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    • 2012
  • Korea Astronomy and Space Science Institute researchers have installed and operated magnetometers at Bohyunsan Observatory to measure the Earth's magnetic field variations in South Korea. In 2007, we installed a fluxgate magnetometer (RFP-523C) to measure H, D, and Z components of the geomagnetic field. In addition, in 2009, we installed a Overhauser proton sensor to measure the absolute total magnetic field F and a three-axis magneto-impedance sensor for spectrum analysis. Currently three types of magnetometer data have been accumulated. In this paper, we use the H, D, Z components of fluxgate magnetometer data to investigate the characteristics of mid-latitude geomagnetic field variation. To remove the temporary changes in Earth's geomagnetic filed by space weather, we use the international quiet days' data only. In other words, we performed a superposed epoch analysis using five days per each month during 2008-2011. We find that daily variations of H, D, and Z shows similar tendency compared to previous results using all days. That is, H, D, Z all three components' quiet intervals terminate near the sunrise and shows maximum 2-3 hours after the culmination and the quiet interval start from near the sunset. Seasonal variations show similar dependences to the Sun. As it becomes hot season, the geomagnetic field variation's amplitude becomes large and the quiet interval becomes shortened. It is well-known that these variations are effects of Sq current system in the Earth's atmosphere. We confirm that the typical mid-latitude geomagnetic field variations due to the Sq current system by excluding all possible association with the space weather.

Discrimination of American ginseng and Asian ginseng using electronic nose and gas chromatography-mass spectrometry coupled with chemometrics

  • Cui, Shaoqing;Wu, Jianfeng;Wang, Jun;Wang, Xinlei
    • Journal of Ginseng Research
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    • v.41 no.1
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    • pp.85-95
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    • 2017
  • Background: American ginseng (Panax quinquefolius L.) and Asian ginseng (Panax ginseng Meyer) products, such as slices, have a similar appearance, but they have significantly different prices, leading to widespread adulteration in the commercial market. Their aroma characteristics are attracting increasing attention and are supposed to be effective and nondestructive markers to determine adulteration. Methods: The aroma characteristics of American and Asian ginseng were investigated using gas chromatography-mass spectrometry(GC-MS) and an electronic nose (E-nose). Their volatile organic compounds were separated, classified, compared, and analyzed with different pattern recognition. Results: The E-nose showed a good performance in grouping with a principle component analysis explaining 94.45% of variance. A total of 69 aroma components were identified by GC-MS, with 35.6% common components and 64.6% special ingredients between the two ginsengs. It was observed that the components and the number of terpenes and alcohols were markedly different, indicating possible reasons for their difference. The results of pattern recognition confirmed that the E-nose processing result is similar to that of GC-MS. The interrelation between aroma constituents and sensors indicated that special sensors were highly related to some terpenes and alcohols. Accordingly, the contents of selected constituents were accurately predicted by corresponding sensors with most $R^2$ reaching 90%. Conclusion: Combined with advanced chemometrics, the E-nose is capable of discriminating between American and Asian ginseng in both qualitative and quantitative angles, presenting an accurate, rapid, and nondestructive reference approach.

Interactions among PCK Components of Pre-service Secondary Chemistry Teachers Considered in Processes of Making Written Test Items (중등 예비 화학교사의 지필평가 문항 제작 과정에서 고려된 교과교육학 지식(PCK) 구성 요소 사이의 상호작용)

  • Noh, Taehee;Park, Jaesung;Kang, Hunsik
    • Journal of The Korean Association For Science Education
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    • v.36 no.5
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    • pp.769-781
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    • 2016
  • This study investigated the interactions among the PCK components of pre-service secondary chemistry teachers considered in the processes of making written test items individually and in small groups. The processes of making written test items individually for 8 pre-service teachers was studied through the think-aloud method. The analysis of the results revealed that the 'assessment in science education' of the five PCK components was most frequently used in making test items. 'Curriculum for science education,' 'subject matter knowledge,' and 'students' were also frequently used although fewer than the previous component. However, 'instructional strategies and instruction for science education' was hardly used. The integrations between two or three components with various types were frequently found. However, integrations among four to five components were not found. The processes of making written test items in two small groups consisting of four pre-service teachers were observed. The analysis of the results revealed that the PCK components used in small groups were similar to those in the individual processes. However, 'curriculum for science education' was less frequently used, and the numbers of subcategories used at a relatively high frequency increased from other four components in small groups. In the aspects of integration, the proportion of the integrations between two components decreased and that for three components increased compared with those in the individual processes. The integrations among four or five components were also newly found. However, the integrations of 'curriculum for science education' with the other components were less frequently found. The integrations of 'instructional strategies and instruction for science education' with other components were still hardly found.

Characteristics of ustilago maydis virus of SH14 killer strain isolated in Korea

  • Hwang, Seon-Hee;Jung, Cheong-Hwan;Yie, Se-Won
    • Journal of Microbiology
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    • v.33 no.2
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    • pp.154-159
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    • 1995
  • SH-14, a novel killer strain of Ustilago maydis was isolated in Korea. It has been reported in other papers that the toxin specificity and double-stranded RNA pattern of SH-14 strain were different from other laboratory strains. In this paper, we analyzed the biochemical characteristics of U. maydis SH-14 virus. Three distinctive peaks were isolated from CsCl density gradient, designated as top (T), intermediate (I) and bottom (B) components. We found that the densities of each components, 1.285, 1.408 g/cm$\^$3/, respectively, are very similar to those of other strains. As previously reported by the analysis of dsRNA in each component, the dsRNA segments are separately encapsidated. Capsid protein of SH-14 virus consists of two proteins about 70 Kd shown by SDS-PAGE analysis. Electron microscopic examination of the virus particles revealed that UmV particles are very similar in size and morphology to all isolates as well as all lab-strains. In order to test immunological cross reactivity of UmV, werstern bolt analysis was carriedout with antiserum against A8 virus. All capsid protein had positive reaction against A8 antibody which indicated that UmV are immunologically cross-reactive with all isolates from Korea. The results presented in this paper may show that UmV isolated from SH-14 strain has very similar biochemical characteristics to those of other UmV. However, the difference in the toxin specificity and the molecular weight of toxin protein from the SH-14 strain has us to conclude that U. maydis SH-14 strain is a new killer type.

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The Relationships among Components of Thinking related to Statistical Variability (통계적 변이성 사고 요소 간의 관계 연구)

  • Ko, Eun Sung
    • School Mathematics
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    • v.14 no.4
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    • pp.495-516
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    • 2012
  • This study distinguished thinking related to statistical variability into six components - the noticing of variability, the explanation of variability, the control of variability, the modeling of variability, the understanding of samples, and the understanding of sampling distribution and investigated the relationships among the thinking components. This study found that this distinction of thinking components related to statistical variability is reasonable. The results showed that each correlation coefficient of the modeling of variability, the understanding of samples, and the understanding of sampling distribution with regard to the noticing of variability, the explanation of variability, and the control of variability is similar. Based on this results, new variable, the understanding of sampling, has been drawn. The results also showed that while the noticing of variability and the control of variability influence the understanding of sampling, the explanation of variability does not influence it.

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Gaussian Density Selection Method of CDHMM in Speaker Recognition (화자인식에서 연속밀도 은닉마코프모델의 혼합밀도 결정방법)

  • 서창우;이주헌;임재열;이기용
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.8
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    • pp.711-716
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    • 2003
  • This paper proposes the method to select the number of optimal mixtures in each state in Continuous Density HMM (Hidden Markov Models), Previously, researchers used the same number of mixture components in each state of HMM regardless spectral characteristic of speaker, To model each speaker as accurately as possible, we propose to use a different number of mixture components for each state, Selection of mixture components considered the probability value of mixture by each state that affects much parameter estimation of continuous density HMM, Also, we use PCA (principal component analysis) to reduce the correlation and obtain the system' stability when it is reduced the number of mixture components, We experiment it when the proposed method used average 10% small mixture components than the conventional HMM, When experiment result is only applied selection of mixture components, the proposed method could get the similar performance, When we used principal component analysis, the feature vector of the 16 order could get the performance decrease of average 0,35% and the 25 order performance improvement of average 0.65%.

Development of a Computer Code for Common Cause Failure Analysis (공통원인 고장분석을 위한 전산 코드 개발)

  • Park, Byung-Hyun;Cho, Nam-Zin
    • Nuclear Engineering and Technology
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    • v.24 no.1
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    • pp.14-29
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    • 1992
  • COMCAF, a computer code for the common-cause failure analysis, is developed to treat the common-cause failures in nuclear power plants. In the treatment of common-cause failures, the minimal cut sets of the system are obtained first without changing the fault-tree structure. The occurrence probabilities of the minimal cut sets are then calculated accounting for the common-cause failures among components in the same minimal cut set or in different minimal cut sets. The basic parameter model is used to model the common-cause failures between similar or identical components. For dissimilar components, the assumption of symmetry used in the basic parameter model is applied to the basic events affecting two or more components. The top event probability is evaluated using the inclusion-exclusion method. In addition to the common-cause failures of components in the same minimal cut sets, failures of components in the different minimal cut sets are also easily accounted for by this method. This study applied this common-cause failure analysis to the PWR auxiliary feedwater system. The results in the top event probability for the system are compared with those of no common-cause failures.

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