• The Korean Journal of Food And Nutrition
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• v.17 no.2
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• pp.220-228
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• 2004

Dynamic headspace purge conditions were investigated to obtain minimum loss of high volatile compounds by breakthrough and maximum recovery of low volatile components of roasted perilla seed oil (RPSO). A response surface methodology was applied to evaluate the effect of purge temperature, purge time, and sample weight on $\ell$ n (total peak area), breakthrough ratio, and peak area of perilla ketone the least volatile component of RPSO. Sample weight was the most important factor on the $\ell$ n (total peak area) but it did not affect peak area of perilla ketone. All process variables significantly influenced breakthrough ratio. The optimum condition was determined by superimposing contour plots at purge temperature of 48$^{\circ}C$ for 12 min purge time at sample weight of 0.60 g. 2-Propanone, 2-butanone, acetic acid, 2-methyl propanal were main breakthrough compounds in RPSO flavor.

• Applied Chemistry for Engineering
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• v.8 no.2
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• pp.179-190
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• 1997

To study the effects of chemical composition on the fusion temperatures of coal ashes, the chemical composition, mineral matter, and fusion temperature were studied with 54 kinds of coal ash samples including Korean anthracite coals. CaO, MgO and $Fe_2O_3$ were observed to be major fluxing elements in reducing and oxidizing atmosphere. The fluxing effect of $Fe_2O_3$ was increased more in reducing atmosphere. In a base/acid ratio, the fusion temperature decreased with increasing amounts of basic components. Nevertheless, the correlation between a fusion temperature and base/acid ratio was not shown well in a higher ratio of $Fe_2O_3/CaO$. The differences of fusion temperatures between oxidizing and reducing atmosphere showed close relationship with $SiO_2/Al_2O_3$ ratio rather than with $Fe_2O_3$ contents. Multiple regression was used to predict the fusion temperature of coal ashes, and it was established that the major predictors in oxidizing atmosphere were Base/Acid, $Fe_2O_3/CaO$, $SiO_2/Al_2O_3$, and $(SiO_2/A1_2O_3){\cdot}(Base/Acid)$ and Base/Acid, $Fe_2O_3/CaO$, $SiO_2$, and $TiO_2$ were major ones in reducing atmosphere.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.40 no.5
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• pp.644-648
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• 1995

This study was conducted to determine the inheritance of duvatrienediol(DVTs) and cis-abienol concentration from flesh tobacco leaves. NC744, which has a very low levels of DVTs and no cis-abienol was used as a parent in cross to TI 1068 producing a normal amount of DVTs and cis-abienol. Presence of DVTs and cis-abienol on the leaf surface was determined using thin layer chromatography(TLC). Segregation pattern from F$_2$ and BC$_2$[ (TI 1068 $\times$ NC744) $\times$ NC744J generations revealed that TI 1068 have a single dominant gene controlling DVTs and cis-abienol production. And DVTs production was inherited independently of the ability to produce cis-abienol.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.211-230
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• 2013

The purpose of this study was to investigate importance and performance about the quality attributes of bean coffee and instant coffee for the Koreans and the Mongolians. The survey was conducted in Seoul and Gyeonggi Province, Korea and in Ulaanbaatar, Mongolia from April to May, 2012. The questionnaire was distributed to 380 Koreans and 380 Mongolians, and 253 and 250 copies were collected from the Koreans and the Mongolians, respectively, for statistical analyses. For the importance-performance analysis(IPA), 14 quality attributes of bean coffee and instant coffee were investigated. The main results of this study were as follows. In the importance and performance comparison about the bean coffee quality, taste, aroma, quantity, price, hygiene, freshness and shelf life were more important to the Koreans than to the Mongolians. On the other hand, nutrition and ingredient were regarded as more important attributes for the Mongolians. Also, price, nutrition, temperature and ingredient were better performance to the Mongolians than to the Koreans. In the importance and performance comparison about the instant coffee quality, quantity and price were more important to the Koreans than to the Mongolians. However, nutrition and temperature were more important to the Mongolians. Moreover, nutrition, temperature, variety and freshness were better performance to the Mongolians than to the Koreans. According to the IPA results of 14 quality attributes of bean coffee, the selection attributes with high importance but low performance were price and shelf life for the Koreans, while nutrition, hygiene and ingredient for the Mongolians. For instant coffee, the selection attributes with high importance but low performance were hygiene and concentration for the Koreans, while concentration and ingredient for the Mongolians.

• Food Science and Preservation
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• v.13 no.4
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• pp.506-512
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• 2006

Gastrodia elata Blume (GEB) is a traditional herbal plant that has been used in Asian countries for centuries as an anticonvulsant analgesic, and a sedative for treating general paralysis, epilepsy, vertigo, and tetanus. This study was designed to optimize conditions for ethanol extracts or GEB by analyzing and monitoring the extraction characteristics with response surface methodology. The extract was used for analysis of the effective components of GEB. The estimated optimal conditions were 63.62% in ethanol of 5.06 mL/g in solvent per sample, and 6.25 hr in extract time. The optimal extraction conditions for $ \gamma-aminobutyric$ acid, were 45.52%, 5.67 mL/g, and 6.04 hr, while those for $\rho-hydroxybenzyl$ alcohol were 62.73%, 5.02 mL/g, and 5.95 hr. Regression equation was generated for each variables and then superimposed them, such as soluble solid, $ \gamma-aminobutyric$ acid and $\rho-hydroxybenzyl$ alcohol content thereby resulting in superimposed values of extinction conditions like $45\sim65%,\;5\sim7mL/g$ and $5\sim7$ hr, respectively.

• Journal of Embryo Transfer
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• v.18 no.3
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• pp.215-225
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• 2003

This study was carried out to investigate the change of blood compositions by age in Hanwoo, and a total of 866 of Hanwoo, which consisted with 638 of steer and 228 of bulls, were used to measure serum concentrations. A multiple regression equation was estimated with collection age and blood composition as independent and dependent variables, respectively. Complicated regression equations for blood compositions in steer and bulls were IGF-I(cubic), calcium (linear), and IP(linear). Linear and cubic equations were fitted to testosterone in steer and creatinine in bulls, respectively. A cubic equation in steer and linear equation in bulls were fitted to HDLC. Equations of quadratic in steer and cubic in bulls were fitted to concentration of triglyceride, globulin, and A/G ratio. BUN was fitted by equations of cubic in steer and quadratic in bulls. TP and albumin were fitted by equations of quadratic in steer and linear in bulls. A cubic regression equation did not explain the change of cortisol by age in steer and bulls. A cubic regression equation did explain the change of glucose by age in steer, but not in bulls. Higher R-square values (R-SQUARE>0.1) were estimated to IGF-1, albumin, creatinine, Inorganic phosphorous(IP) and HDLC in steer, and testosterone, IGF-I, TP, albumin, glucose, creatinine, IP, and HDLC in bulls for the fitted regression equations of blood compositions. Therefore, IGF-I, albumin, creatinine, IP, and HDLC were regarded as comparatively large variation by age in steer and bulls.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.27-36
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• 2019

In this study, experiments on the improvement of the emotion classification, analysis and accuracy of EEG data were proceeded, which applied DEAP (a Database for Emotion Analysis using Physiological signals) dataset. In the experiment, total 32 of EEG channel data measured from 32 of subjects were applied. In pre-processing step, 256Hz sampling tasks of the EEG data were conducted, each wave range of the frequency (Hz); Theta, Slow-alpha, Alpha, Beta and Gamma were then extracted by using Finite Impulse Response Filter. After the extracted data were classified through Time-frequency transform, the data were purified through Independent Component Analysis to delete artifacts. The purified data were converted into CSV file format in order to conduct experiments of Machine learning algorithm and Arousal-Valence plane was used in the criteria of the emotion classification. The emotions were categorized into three-sections; 'Positive', 'Negative' and 'Neutral' meaning the tranquil (neutral) emotional condition. Data of 'Neutral' condition were classified by using Cz(Central zero) channel configured as Reference channel. To enhance the accuracy ratio, the experiment was performed by applying the attributes selected by ASC(Attribute Selected Classifier). In "Arousal" sector, the accuracy of this study's experiments was higher at "32.48%" than Koelstra's results. And the result of ASC showed higher accuracy at "8.13%" compare to the Liu's results in "Valence". In the experiment of Random Forest Classifier adapting ASC to improve accuracy, the higher accuracy rate at "2.68%" was confirmed than Total mean as the criterion compare to the existing researches.

• Speech Sciences
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• v.12 no.3
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• pp.79-89
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• 2005

Acoustic feedback between microphone and receiver can be effectively cancelled adaptive feedback cancellation algorithm. Although many speech sounds have non-Gaussian distribution, most algorithms were tested with speech like sounds whose distribution were Guassian type. In this paper, we proposed an adaptive feedback cancellation algorithm based on independent component analysis (ICA) for digital hearing aid. The algorithm was tested with not only Gaussian distribution but also Laplacian distribution. We verified that the proposed algorithm has better acoustic feedback cancelling performance than conventional normalized root mean square (NLMS) algorithm, especially speech like sounds with Laplacian distribution.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1066-1070
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• 2006

Independent component analysis (ICA) is a statistical method for linearly transforming observed high-dimensional multivariate data into several statistically independent components. ICA has gained wide-spread attention in a variety of fields including spectrum application. We focus on the application of ICA for separating independent sources from a set of mixtures and estimating their fractions in a mixture. The proposed method of estimating fractions is based on the regression model subject to the non-negativity constraint on coefficients. Simulation experiments are performed to demonstrate the performance of the proposed approach.

• Phonetics and Speech Sciences
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• v.6 no.3
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• pp.149-153
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• 2014

In frequency domain ICA, the frequency bin permutation problem falls off the quality of separated signals. In this paper, we propose a new algorithm to solve the frequency bin permutation problem using the covariance of power ratio of separated signals in multi-channel FD-ICA. It makes use of the continuity of the spectrum of speech signals to check if frequency bin permutation occurs in the separated signal using the power ratio of adjacent frequency bins. Experimental results have shown that the proposed method could fix the frequency bin permutation problem in the multi-channel FD-ICA.