• Title/Summary/Keyword: Mixture experiments

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Antihypertensive and ACE Inhibitory Effects of Novel Isoflavone-free Black Soy Peptide Mixture (Isoflavone-Free 검은콩펩타이드의 항고혈압 및 ACE 활성 억제효과)

  • Ahn, Chang-Won;Shin, Dong-Seok;Park, Soo-Hyun;Hong, Soon-Sun;Kang, Ju-Hee;Park, Chang-Shin
    • YAKHAK HOEJI
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    • v.56 no.5
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    • pp.309-313
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    • 2012
  • Antiobesity, hypotriglyceridemic and antihypertensive activities of isoflavone-free peptide mixture (black soybean peptide, BSP) were reported in our previous experiments. In the present study, angiotensin converting enzyme inhibitory (ACEi) activity was decreased in the aorta tissues of spontaneously hypertensive rats (SHRs) treated with BSP (1% in drink water) for 4 weeks, but not in serum. BSP administration significantly decreased ACE activity by 17.5% (from $33.2{\pm}4.5$ to $27.4{\pm}1.96$ mUnit/mg, p=0.0013) in aorta tissue hydrolysate. BSP treatment also decreased significantly mean blood pressure (BP) (from $213.0{\pm}16.96$ to $184.0{\pm}6.53$ mmHg, p<0.0001) as expected. These results indicate that BSP has antihypertensive activity as well as ACEi activity.

Sorption Characteristics of Fly Ash for Use as Additive in Backfill Material (뒷채움재 첨가제로서 석탄비회의 수착특성)

  • Joo ho Whang;Yoon, Hyung-Joon
    • Nuclear Engineering and Technology
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    • v.26 no.4
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    • pp.507-515
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    • 1994
  • Fly ash and betonite samples were selected and characteristics of them were investigated. Fly ash was found to be similar to bentonite in particle size distribution but quite different in microstructure. The most special aspect of fly ash was high alkalinity of its solution. Distribution coefficients of Cs and Co on the samples were measured to survey the effects of mixing. Fly ash showed higher distribution coefficient of Co than that of Cs. Through various experiments, factors affecting the distribution coefficients of Co and Cs on mixture of bentonite and fly ash were identified. Comparison of the distribution coefficients of Cs on fly ash and bentonite mixture with those on sand and bentonite mixture suggests that fly ash would be useful as an efficient additive of backfill material if pertinent mixing ratio was chosen.

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Investigation of condensation with non-condensable gas in natural circulation loop for passive safety system

  • Jin-Hwa Yang;Tae-Hwan Ahn;Hwang Bae;Hyun-Sik Park
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.1125-1139
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    • 2023
  • The system-integrated modular advanced reactor 100 (SMART100), an integral-type pressurized water small modular reactor, is based on a novel design concept for containment cooling and radioactive material reduction; it is known as the containment pressure and radioactivity suppression system (CPRSS). There is a passive cooling system using a condensation with non-condensable gas in the SMART CPRSS. When a design basis accident such as a small break loss of coolant accident (SBLOCA) occurs, the pressurized low containment area (LCA) of the SMART CPRSS leads to steam condensation in an incontainment refuelling water storage tank (IRWST). Additionally, the steam and non-condensable gas mixture passes through the CPRSS heat exchanger (CHX) submerged in the emergency cooldown tank (ECT) that can partially remove the residual heat. When the steam and non-condensable gas mixture passes through the CHX, the non-condensable gas can interrupt the condensation heat transfer in the CHX and it degrades CHX performance. In this study, condensation heat transfer experiments of steam and non-condensable gas mixture in the natural circulation loop were conducted. The pressure, temperature, and effects of the non-condensable gas were investigated according to the constant inlet steam flow rate with non-condensable gas injections in the loop.

Polynomial model controlling the physical properties of a gypsum-sand mixture (GSM)

  • Seunghwan Seo;Moonkyung Chung
    • Geomechanics and Engineering
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    • v.35 no.4
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    • pp.425-436
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    • 2023
  • An effective tool for researching actual problems in geotechnical and mining engineering is to conduct physical modeling tests using similar materials. A reliable geometric scaled model test requires selecting similar materials and conducting tests to determine physical properties such as the mixing ratio of the mixed materials. In this paper, a method is proposed to determine similar materials that can reproduce target properties using a polynomial model based on experimental results on modeling materials using a gypsum-sand mixture (GSM) to simulate rocks. To that end, a database is prepared using the unconfined compressive strength, elastic modulus, and density of 459 GSM samples as output parameters and the weight ratio of the mixing materials as input parameters. Further, a model that can predict the physical properties of the GSM using this database and a polynomial approach is proposed. The performance of the developed method is evaluated by comparing the predicted and observed values; the results demonstrate that the proposed polynomial model can predict the physical properties of the GSM with high accuracy. Sensitivity analysis results indicated that the gypsum-water ratio significantly affects the prediction of the physical properties of the GSM. The proposed polynomial model is used as a powerful tool to simplify the process of determining similar materials for rocks and conduct highly reliable experiments in a physical modeling test.

Improvement of Semicontinuous Hiden Markov Models and One-Pass Algorithm for Recognition of Keywords in Korean Continuous Speech (한국어 연속음성중 키워드 인식을 위한 반연속 은닉 마코브 모델과 One-Pass 알고리즘의 개선방안)

  • 최관선
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1994.06c
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    • pp.358-363
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    • 1994
  • This paper presents the improvement of the SCHMM using discrete VQ and One-Pass algorithm for keywords recognition in Korean continuous speech. The SCHMM using discrete VQ is a simple model that is composed of a variable mixture gaussian probability density function with dynamic mixture number. One-Pass algorithm is improved such that recognition rates are enhanced by fathoming any undesirable semisyllable with the low likelihood and the high duration penalty, and computation time is reduced by testing only the frame which is dissimilar to the previously testd frame. In recognition experiments for speaker-dependent case, the improved One-Pass algorithm has shown recognition rates as high as 99.7% and has reduced compution time by about 30% compared with the currently abailable one-pass algorithm.

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A Study for Evaporation Heat Transfer Characteristic of R22/Rl14 Refrigerant Mixtures in a Horizontal Tube (수평증발관내 R22/R114 혼합냉매의 열전달 특성에 관한 연구)

  • 윤치한;이종인;하옥남
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.12 no.5
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    • pp.502-510
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    • 2000
  • Evaporation heat transfer characteristics were studied in a horizontal tube using R22/R114 non-azotropic refrigerant mixture. the heat transfer coefficient was high in the upper part for pure refrigerants, and heat transfer coefficient was low in the lower part for refrigerant mixtures. In the low quality region where nucleate boiling was dominant, the average heat transfer coefficient was low. In the region where forced convection was dominant, heat transfer coefficient was high. Results show that the heat transfer coefficient for pure refrigerants obtained by experiments were lower than those of Yoshida et al. but agreed well with Jung et al., and Chen et al. data. But the heat transfer coefficients for refrigerant mixtures were lower about 20% than those predicted by the equation for pure refrigerant.

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Predicting Unknown Composition of a Mixture Using Independent Component Analysis

  • Lee, Hye-Seon;Park, Hae-Sang;Jun, Chi-Hyuck
    • 한국데이터정보과학회:학술대회논문집
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    • 2005.04a
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    • pp.127-134
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    • 2005
  • A suitable representation for the conceptual simplicity of the data in statistics and signal processing is essential for a subsequent analysis such as prediction, pattern recognition, and spatial analysis. Independent component analysis (ICA) is a statistical method for transforming an observed high-dimensional multivariate data into statistically independent components. ICA has been applied increasingly in wide fields of spectrum application since ICA is able to extract unknown components of a mixture from spectra. We focus on application of ICA for separating independent sources and predicting each composition using extracted components. The theory of ICA is introduced and an application to a metal surface spectra data will be described, where subsequent analysis using non-negative least square method is performed to predict composition ratio of each sample. Furthermore, some simulation experiments are performed to demonstrate the performance of the proposed approach.

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Characteristics of Ferrite-Resin Material for Improving Vibration-proof Property (Ferrite-Resin 복합재료의 방진 특성에 관한 연구)

  • Park, Y.I.;Maeng, H.Y.;Won, S.T.
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.3
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    • pp.31-40
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    • 1993
  • The vibration-proof material normally used in structural components of precision machinery or measuring instruments requires higher damping in vibration and better characteristics in dimensional stability and rigidity to accomplish the quality assurance of the products. In this study the ferrite-resin material, which is the mixture of epoxy resin and the oxidized steel (Fe$_{3}$O$_{4}$: ferrite) in consideration of characteristics of aggregator and binder, is developed and investigated as one of vibration-proof materials. Four kinds of composite plates for experiments are made by adding another filler materials such as steel powder, granite powder and carbon-fiber sheet to the basic ferrite-resin matrix. Their characteristics are compared with a cast iron specimen which has the same bending rigidity as other specimens. The ferrite-resin material gives the best damping effect in the motor-induced vibration test. Therefore, the material can be applied to the manufacturing industry for vibration damping of machine elements.

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A Study on Noisy Speech Recognition Using Discriminative Training for PMC Algorithm (PMC 방식에서의 분별적 학습을 이용한 잡음 음성인식에 관한 연구)

  • 정용주
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.2
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    • pp.83-89
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    • 2000
  • In this paper, we proposed a discriminative adaptation method for PMC algorithm and achieved improved speech recognition rate. For the adaptation, we adopted modified PMC(MPMC) which is a variant of PMC and discriminatively adapted the association factor for each mixture of the HMM in the MPMC. From the recognition experiments, the proposed method showed better recognition rate than the conventional PMC. Also, compared with STAR algorithm which is another model parameter compensation method, the proposed method showed superior performance when the SNR is very low and the adaptation data is not sufficient.

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NUMERICAL ANALYSIS OF CAVITATING FLOW PAST CYLINDER WITH THREE DIFFERENT CAVITATION MODELS (서로 다른 캐비테이션 모델을 이용한 실린더 주위의 캐비테이션 유동현상 전산해석)

  • Kim, S.Y.;Park, W.G.;Jung, C.M.
    • Journal of computational fluids engineering
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    • v.16 no.1
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    • pp.60-66
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    • 2011
  • Engineering interests of submerged bodies and turbomachinery has led researchers to study various cavitation models for decades. The governing equations used for the present work are the two-phase Navier-Stokes equations with homogeneous mixture model. The solver employed on implicit dual time preconditioning algorithm in curvilinear coordinates. Three different cavitation models were applied to two axisymmetric cylinders and compared with experiments. It is concluded that the Merkle's new cavitation model has successfully accounted for cavitating flows and well captured the re-entrant jet phenomenon over the 0-caliber cylinder.