• 한국식품과학회지
• /
• 제36권2호
• /
• pp.349-354
• /
• 2004

수산식품에서 문제가 되는 식중독 균인 V. parahaemolyticus를 대상으로 온도, pH 및 초기균수에 따른 균의 성장 실험 결과를 데이터베이스화하여 이를 바탕으로 균의 성장을 정량적으로 평가할 수 있는 수학적 모델을 개발하였다. $1.0{\times}10^{2},\;1.0{\times}10^{3},\;1.0{\times}10^{4}\;CFU/mL$의 각 초기균수 조건에서 실험치와 예측치의 상관계수는 각각 0.966, 0.979, 0.965으로 나타났다. 또한, 초기균수를 고려하지 않은 모델식은 상관계수가 0.966으로 다음과 같이 나타났다. Polynomial model: $$k=1.10{\cdot}\exp(-0.5(((T-34.14)/9.09)^{2}+((pH-6.59)/4.68)^{2}))$$ 균의 증식 지표치인 최대증식속도상수 k는 온도에 지배적인 영향을 받았으며, pH 및 초기균수에 따른 유의적인 차이는 없었으므로 (P>0.05), k와 온도와의 관계식인 square root model로 나타내었다. Square root model: $${\sqrt{k}\;0.06(T-9.55)[1-\exp(0.07(T-49.98))]$$ V. parahaemolyticus의 경우, square root model에 의한 실험치와 예측치의 상관계수는 0.977로 polynomial model보다 높은 적용성을 나타내었다.

• 한국해양학회지:바다
• /
• 제6권1호
• /
• pp.1-12
• /
• 2001

Topex/Poseidon(T/P)고도계 자료를 조석 수치 모델에 혼합하여 북동 아시아 해역의 $M_2,\;S_2,\; K_1$, 및 $O_1$ 분조를 $5'{\times}5'$ 분해능으로 계산하여, 북동 아시아의 조석을 산정하였다. Blending 방법에 사용되는 가중 인자 값에 대한 모델반응을 검토하기 위해 $M_2$ 분조만을 고려한 수치 실험이 수행되었으며, 수치 실험을 통해 T/P 자료를 정확히 재현하되 혼합함으로써 발생하는 잡음을 줄이기 위해 가중 인자 값은 수심의 평방근에 반비례하도록 설정하였다. T/P자료에서 구한 $M_2,\;S_2,\; K_1$, 및 $O_1$ 분조를 동시에 혼합한 수치 모델 결과는 연구 해역 내의 모든 T/P궤도 자료와 비교되었다. 진폭 오차와 지각 오차의 평균은 거의 0으로 나타났다. 진폭 오차의 표준 편차는 2 cm 내외였으며, 지각오차의 표준 편차는 $10^{\circ}$보다 작았다. T/P자료를 혼합한 모델 결과는 특히 얕은 수심(h<250m)의 T/P 궤도 자료와 거의 일치하는 것으로 나타났다. 그러나 T/P 자료만으로부터 계산된 진폭과 지각은 깊은 수심 해역에 대해서는 불합리한 공간 변화를 보이는 반면, 이들 자료를 동화시킨 모델 결과는 T/P 자료와는 차이를 보이나 합리적인 진폭과 지각의 공간 분포를 보였다. 한편 T/P자료를 혼합한 모델 결과는 자료 동화에 사용하지 않은 연안 관측 자료와도 비교적 잘 일치하였다.

• Asian-Australasian Journal of Animal Sciences
• /
• 제21권10호
• /
• pp.1522-1528
• /
• 2008

The objective of this study was to develop a model for simulating gastric digestion in the pig. The model was constructed to include the chemical and physical changes associated with gastric digestion such as enzyme release, digestion product removal and gastric emptying. Digesta was collected from the stomach cannula of pigs to establish system parameters and to document the ability of the model to simulate gastric digestion. The results showed that the average pH of gastric digesta increased significantly from 2.47 to 4.97 after feed consumption and then decreased 140 min postprandial. The model described the decrease in pH within the pigs' stomach as $pH_t=5.182e^{-0.0014t}$, where t represents the postprandial time in minutes. The cumulative distribution function of liquid digesta was $V_t=64.509e^{0.0109t}$. The average pepsin activity in the liquid digesta was 317Anson units/mL. There was significant gastric emptying 220 min after feed consumption. The cybernetic dynamic system of gastric digestion was set according to the above data in order to compare with in vivo changes. The time course of crude protein digestion predicted by the model was highly correlated with observed in vivo digestion (r = 0.97; p = 0.0001), Model prediction for protein digestion was higher than that observed for a traditional static in vitro method (r = 0.89; p = 0.0001).

• Bulletin of the Korean Chemical Society
• /
• 제35권8호
• /
• pp.2471-2476
• /
• 2014

The aim of the present study is to explore the possibility of utilizing loess for the adsorption of total phosphorous (T-P) and total nitrogen (T-N) in water. Batch adsorption studies were performed to evaluate the influences of various factors like initial concentration, contact time and temperature on the adsorption of T-P and T-N. The adsorption data showed that loess is not effective for the adsorption of T-N. However, loess exhibited much higher adsorption capacity for T-P. At concentration of $1.0mgL^{-1}$, approximately 97% of T-P adsorption was achieved by loess. The equilibrium data were fitted well to the Langmuir isotherm model. The pseudo-second-order kinetic model appeared to be the better-fitting model because it has higher $R^2$ compared with the pseudo-first-order and intra-particle kinetic model. The theoretical adsorption equilibrium $q_{e,cal}$ from pseudo-second-order kinetic model was relatively similar to the experimental adsorption equilibrium $q_{e,exp}$. The thermodynamic parameters such as free energy ${\Delta}G$, the enthalpy ${\Delta}H$ and the entropy ${\Delta}S$ were also calculated.

• Communications for Statistical Applications and Methods
• /
• 제17권3호
• /
• pp.441-450
• /
• 2010

In this paper we consider the problem of forecasting binomial time series, modelled by the binomial autoregressive model. This paper considers proposed by McKenzie (1985) and is extended to a higher order by $Wei{\ss}$(2009). Since the binomial autoregressive model is a Markov chain, we can apply the earlier work of Bu and McCabe (2008) for integer valued autoregressive(INAR) model to the binomial autoregressive model. We will discuss how to compute the h-step-ahead forecast of the conditional probabilities of $X_{T+h}$ when T periods are used in fitting. Then we obtain the maximum likelihood estimator of binomial autoregressive model and use it to derive the maximum likelihood estimator of the h-step-ahead forecast of the conditional probabilities of $X_{T+h}$. The methodology is illustrated by applying it to a data set previously analyzed by $Wei{\ss}$(2009).

• 한국산학기술학회논문지
• /
• 제14권11호
• /
• pp.5403-5410
• /
• 2013

본 연구는 미술경매시장에서 미술품 거래 시 미술품의 소재로 사용된 상징적 사물이 미술품의 가격결정에 미치는 영향에 대해 조사하였다. 이를 위해 본 연구는 Buck(1948)의 집-나무-사람(H-T-P) 모델을 적용하였다. 2010년 6월부터 2011년 5월까지의 기간 동안 서울옥션에서 낙찰된 402개 작품을 대상으로 분석한 결과, 미술품 내에 집과 사람이 포함되어 있으면 그렇지 않은 경우에 비해 경매시장에서 더 높은 가격에 낙찰되는 것으로 나타났다. 본 연구는 기존의 미술품 가격 연구에서 발견한 요소들 이외에도 소재로 이용된 상징적 의미를 지닌 사물도 미술품 가격에 영향을 미친다는 것을 발견함으로써 Buck(1948)의 모델이 미술품 가격결정에도 적용될 수 있음을 확인하였다.

• 한국의학물리학회지:의학물리
• /
• 제28권4호
• /
• pp.135-143
• /
• 2017

Chemical Exchange Saturation Transfer (CEST) imaging is a method to detect solutes based on the chemical exchange of mobile protons with water. The solute protons exchange with three different patterns, which are fast, slow, and intermediate rates. The CEST contrast can be obtained from the exchangeable protons, which are hydroxyl protons, amine protons, and amide protons. The CEST MR imaging is useful to evaluate tumors, strokes, and other diseases. The purpose of this study is to review the mathematical model for CEST imaging and for measurement of the chemical exchange rate, and to measure the chemical exchange rate using a 3T MRI system on several amino acids. We reviewed the mathematical models for the proton exchange. Several physical models are proposed to demonstrate a two-pool, three-pool, and four-pool models. The CEST signals are also evaluated by taking account of the exchange rate, pH and the saturation efficiency. Although researchers have used most commonly in the calculation of CEST asymmetry, a quantitative analysis is also developed by using Lorentzian fitting. The chemical exchange rate was measured in the phantoms made of asparagine (Asn), glutamate (Glu), ${\gamma}-aminobutyric$ acid (GABA), glycine (Gly), and myoinositol (MI). The experiment was performed at a 3T human MRI system with three different acidity conditions (pH 5.6, 6.2, and 7.4) at a concentration of 50 mM. To identify the chemical exchange rate, the "lsqcurvefit" built-in function in MATLAB was used to fit the pseudo-first exchange rate model. The pseudo-first exchange rate of Asn and Gly was increased with decreasing acidity. In the case of GABA, the largest result was observed at pH 6.2. For Glu, the results at pH 5.6 and 6.2 did not show a significant difference, and the results at pH 7.4 were almost zero. For MI, there was no significant difference at pH 5.6 or 7.4, however, the results at pH 6.2 were smaller than at the other pH values. For the experiment at 3T, we were only able to apply 1 s as the maximum saturation duration due to the limitations of the MRI system. The measurement of the chemical exchange rate was limited in a clinical 3T MRI system because of a hardware limitation.

• 한국환경과학회지
• /
• 제17권4호
• /
• pp.451-459
• /
• 2008

This study was carried out forecasting of pollution inflow of the Small Mountainous Catchment, namely; Seolma-cheon experimental catchment. Pollutographs of DO, BOD, T-N, Conductivity, T-p, pH. COD, SS from this catchment were obtained from in-situ data of total ten events using QUAL2E-PULS model. From the analysis results, between up stream(Sabang-bridge) and down stream (Memorial-bridge, outlet) obtained relation formula of water quality component. Determination coefficient of relation formula, Conductivity, COD, BOD, DO, pH, T-N, T-P, and SS showed high relation of $0.87{\sim}0.99$. The increases of DO, BOD, COD, and pH concentration of Memorial-bridge were associated with pollution inflow by road building far 2.25km from Sabang-bridge to down stream. The analysis results of QUAL2E-PULS simulation and up/down stream relation formula, pollution amounts of DO, BOD, COD and pH increased at Memorial-bridge and pollution source site. Therefore, pollution inflow can be forecasted exactly by up/down stream relation formula at pollution source site.

• Asian-Australasian Journal of Animal Sciences
• /
• 제20권10호
• /
• pp.1517-1524
• /
• 2007

The [$^2H_5$]phenylalanine model was compared with the [1-$^{13}C$]leucine method to determine whole body protein synthesis (WBPS) and degradation (WBPD) in sheep fed at two levels. The animals were fed either 103 (M-diet) or 151 (H-diet) kcal $ME/kg^{0.75}/day$ once daily in a crossover design for 21 days each. The isotope dilutions were simultaneously conducted as a primed-continuous infusion of [$^2H_5$]phenylalanine, [$^2H_2$]tyrosine and [1-$^{13}C$]leucine on each dietary treatment. The WBPS and WBPD calculated from the [$^2H_5$]phenylalanine model were lower (p = 0.009 and p = 0.003, respectively) than those calculated from the [1-$^{13}C$]leucine method. The WBPS tended to be higher (p = 0.08) and WBPD was numerically higher (p = 0.33) for H-diet than M-diet in the [$^2H_5$]phenylalanine model, whereas the WBPS was numerically higher (p = 0.37) for H-diet and WBPS remained similar (p = 0.79) between diets in the [1-$^{13}C$]leucine method. However, the absolute values and the directions of WBPS as well as WBPD from M-diet to H-diet were comparable between the [$^2H_5$]phenylalanine model and [1-$^{13}C$]leucine method. Moreover, the values vary depending on the use of the respective amino acid contents in the carcass protein when calculating WBPS and WBPD. Therefore, it is concluded that the [$^2H_5$]phenylalanine model could be used as an alternative to the [1-$^{13}C$]leucine method for the determination of WBPS and WBPD in sheep.

• 한국의류학회지
• /
• 제36권9호
• /
• pp.928-939
• /
• 2012

This study evaluates wear comforts of water-vapor-permeable (WVP) garments through a measurement of various parameters such as skin and rectal temperatures, microclimate between skin and clothing, sweat rate, and subjective sensations (thermal, wet and comfort sensations) to correlate the physiological responses of the human body with its comfort feeling. Wear comfort during a specific exercise on a treadmill in a climatic chamber (temperature T = $20{\pm}0.5^{\circ}C$ and relative humidity H = $50{\pm}10%$) were studied using eight men wearing seven sportswear outfits (a long sleeve shirts and a long pants) made with seven different WVP fabrics. A comfort sensation was found to be highly correlated with skin T (p<.001), microclimate (T and H) between skin and clothing (p<.001) and sweat rate (p<.05). A regression model correlating comfort sensations and physiological responses obtained from wearer trials could be established: Y = 14.167 - 0.362 ${\times}$ X1 + 0.424 ${\times}$ X2 - 0.238 ${\times}$ X3 - 0.561 ${\times}$ X4 + 0.253 ${\times}$ X5 + 0.214 ${\times}$ X6 - 0.393 ${\times}$ X7 + 0.023 ${\times}$ X8 - 0.043 ${\times}$ X9. (Y = comfort sensation, X1 = forehead skin T, X2 = forearm skin T, X3 = hand skin T, X4 = thigh skin T, X5 = T of chest microclimate, X6 = T of thigh microclimate, X7 = chest sweat rate, X8 = H of back microclimate, X9 = H of thigh microclimate. The regression model obtained in this work can be used by manufacturers to objectively estimate the comfort sensation of sportswear before it is introduced to the consumer market. This study provides salient information to sportswear manufacturers and sportswear consumers.