• Food Science and Preservation
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• v.24 no.5
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• pp.623-630
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• 2017

Functional compounds including flavonoids, anthocyanins, polyphneols and antioxidants were extracted from blue honeysuckle (Lonicera caerulea L.) using highly efficient microwave-assisted extraction. And extraction process was modeled and optimized according to response surface methodology (RSM). The independent variables ($X_n$) were ethanol concentration ($X_1$: 0, 25, 50, 75, 100%), irradiation time ($X_2$: 1, 3, 5, 7, 9 min), and microwave power ($X_3$: 60, 120, 180, 240, 300 W). Dependent variables ($Y_n$) were total flavonoid contents ($Y_1$), total anthocyanin contents ($Y_2$), total polyphenol contents ($Y_3$) and antioxidant activity ($Y_4$). Four-dimensional response surface plots were generated based on the fitted second-order polynomial models to get optimal conditions. Estimated optimal conditions for 4 responses were ethanol concentration of 54-72%, irradiation time of 7.1-7.6 min, and microwave power of 243-251 W. Ridge analysis predicted the maximal responses of total flavonoid content, total anthocyanin content, total polyphenol content and antioxidant activity were 38.00 mg RE/g, 6.80 mg CGE/g, 14.90 mg GAE/g, 89.10%, respectively. Verification experiment was carried out at predicted optimal conditions and experimental values for total flavonoid content, total anthocyanin content, total polyphenol content and antioxidant activity were 38.10 mg RE/g, 6.72 mg CGE/g, 14.91 mg GAE/g and 89.13%, respectively. No significant difference was observed between predicted and experimental values, indicating good fitness of fitted model and successful application of RSM.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.5
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• pp.317-324
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• 2014

Environmental tobacco smoke (ETS) samples were collected separately in mainstream and side-stream smoke using a self-designed smoking machine, and a total 40 of PM2.5 was collected with low volume air sampler at indoor environments with and without ETS in Daejeon, Korea. About 20 trace elements including toxic metals like As, Cr, Mn, Se, V, and Zn were determined in PM2.5 and ETS samples by instrumental neutron activation analysis (INAA). It is found that the emission factors of K, Cl, Na, and Al were much higher than those of toxic elements for both mainstream and side-stream smoke. The average concentration of PM2.5 was enriched by 1.5 times at smoking area ($58.7{\pm}18.1{\mu}g/m^3$) than at smoking free area ($38.6{\pm}12.7{\mu}g/m^3$). The concentration ratio of each element between smoking and smoking free area were ranged from 1.1 to 6.0 except Cu (1.0); especially, Ce (6.0), La (5.2), K (2.3), and Co (2.0) showed higher ratio, which suggests that the ETS is one of the possible increasing factors of PM2.5 and elemental concentration at indoor environment.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.1
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• pp.75-84
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• 2021

In this study, the correlation between cement quality(chemical composition, mineral composition, and compressive strength) and amount of waste alternative fuels used in the cement manufacturing process and was investigated. Cement manufacturing facility using coal, soft plastics(plastics that are easily scattered by wind power, such as vinyls), hard plastics(plastics that do not contain foreign substances, waste rubber, PP, etc.) and reclaimed oil was analised. Data was collected for 3 years from 2017 to 2019 and let the amount of fuels used as an independent variable and cement quality data as a dependent variable. As a result, depending on the type and quality of the alternative fuel has not a significant effect on the chemical composition(Cl and LSF) and mineral composition(f-CaO, C3S contents). Contrary to the concern that the compressive strength of cement would decrease, there was a significant positive correlation between amount of alternative fuel used and cement compressive strength.

• Journal of Ginseng Research
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• v.24 no.3
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• pp.118-122
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• 2000

This study was carried out to determine the optimal liquid medium composition of ginseng (Panax ginsengC.A. Meyer) root induced by growth regulators in order to improve the yield of saponin production. Submerged culture conditions were optimized using the fractional factorial design with 4 factors and 3 levels by a RSM computer program The effects of various pH values of medium, sucrose, nitrogen and phosphate concentration on the saponin content of the ginseng root were investigated. The optimum phosphate concentration determined by a partial differentiation of the model equation, pH of medium, sucrose and nitrogen concentration were phosphate 93 mg/L, pH 5.5, sucrose 5% and nitrogen 50 mg/L, respectively. Under these conditions, the predicted saponin content of ginseng root was estimated at 0.308%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.691-697
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• 2013

Recently, u-healthcare device is developed and commercialized for healthcare management and emergency medical. The kinds of the measurable biomedical signals on the device are electrocardiogram, skin temperature, pulse oxygen, heart rate, respiration, etc. Specially, the photoplethysmograph(PPG) signal of these signals is the important signal in measuring oxygen, heart rate and peripheral vascular compliance. The accuracy of PPG signal reduce from influence of the motion artifacts that generated from the movements of user or patient. Therefore, this study suggests a new method to remove the motion artifact that is using optical power modulation and ICA(Independent Component Analysis). For analyzing the proposed method, we used variety of noises made by artificially. In the results of experiments, the proposed method showed good performances than an adaptive filter.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1273-1281
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• 2014

As a variety of industrial technology advances with various materials developed, cosmetics industry in general is witnessing many kinds of new cosmetic products. At the same time, Cosmetics Act becomes effective, and cosmetics ingredient labeling is implemented. Concerns with life pattern such as life management, biorhythm, right posture, and stress symptoms are on the increase in order to seek high-quality life as well. These life patterns are closely connected not only with life quality and health but with skin management, and thus this paper conducts a survey on the connection between functional cosmetics awareness and life pattern. Results show that out of 16 questions concerning cosmetics awareness, responses to question number 3, 5, 6 and 11 have relevant differences among colleges. Furthermore, the results of cross analysis with life pattern show that there are relevant differences between the year of responses and stress symptoms and between the year of responses and right posture. Lastly, it is shown that answers to questions regarding gender and biorhythm, gender and right posture, and gender and stress symptoms are relevantly different. Further research is needed to reveal the differences between college students and ordinary people at large.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.311-316
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• 2017

기후변화는 물 관리 측면에서 많은 변화를 일으키는 것으로 보고되고 있다. 주로 강우의 패턴을 변화시키며, 가용수자원의 지역적 편중을 심화시킨다. 기후변화에 적응하며 안정적이고 균등한 용수확보를 위해서는 홍수와 가뭄을 고려한 연속적인 물 순환 해석기술이 필요하다. 강우유출분석은 강우사상에 대한 수문순환과정을 통해 유출량을 산출하는 것으로, 주로 직접유출과 중간유출이 이에 해당된다. 강우발생 이후 무강우기간에 대해서는 기저시간 이후에 발생되는 유출량의 정량적 산출이 필요하다. 기저유출은 강우 발생 시점에 급격히 발생하기보다는 선행강우에 따른 유역 내 지하수위 분포와 대수층의 특성, 하천수위에 따라 다양한 패턴으로 나타나기 때문에 지하수대의 수리학적 성분들을 반영할 수 있어야 한다. 이를 위해서는 강우유출모의 시 지표유출량 산정과 지하수유동해석을 통한 기저유출량 산정이 동시에 이루어져야 한다. 최근 국내외에서는 다양한 형태의 수문모형과 MODFLOW를 연계한 장기유출분석에 대한 연구가 활발하게 진행되고 있다. 본 연구에서 활용한 K-DRUM(K-water Distribution Runoff Model)은 K-water에서 자체 개발한 물리적 기반의 분포형 강우유출모형으로 강우유출, 유사, 기초수질항목에 대한 3차원 분석이 가능하다. 본 모형의 A층(표층)은 지표유출을 고려한 운동파법이 적용되었고, B층과 C층(중간층), D층(지하수층)은 선형저류법이 적용되었다. MODFLOW(A Modular Three-Dimensional Finite-Difference Ground Water Flow Model)는 1980년대 USGS(United State Geolog ical Survey)에서 개발된 가장 범용적으로 사용되는 지하수유동모형이며, 모듈화 된 구조를 갖고 있어 다양한 패키지 중 필요로 하는 기능을 독립적으로 모의할 수 있는 장점이 있다. 본 연구에서는 향후 기후변화에 따른 강우의 불확실성에 대비한 유역의 장기 물순환 해석을 위해 강우유출모형인 K-DRUM과 지하수유동모형인 MODFLOW를 연계하고자한다. 연계방법은 K-DRUM에서 계산된 D층으로 침루되는 양을 MODFLOW의 함양량으로 적용하고, MODFLOW에서 산출된 기저유량을 K-DRUM의 하천유출에 적용하는 것이다. 본 연구의 성과를 갈수기 유출해석에 적용하면 정확성을 크게 향상시킬 수 있을 것으로 판단된다.

• Journal of Korean Society of Forest Science
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• v.90 no.3
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• pp.266-276
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• 2001

This study was conducted to clarify the taxonomic implications of F. chiisanensis Nakai based on morphology and flavonoids of four taxa of Fraxinus [F. chiisanensis Nakai, F. mandshurica Rupr., F. chinensis Roxb. var. rhynchophylla (Hance) Hemsl. and F. sieboldiana Blume] in Korea with one species of China and Japan (F. platypoda Oliv.). Morphologically F. chiisanensis was clearly distinguished from other taxa due to the presence of panicle from leafless lateral bud of previous year, apetalous flower, persistent calyx, and brownish naked bud. A survey of the foliar flavonoids of five species showed two distinctive chemical types. Unique flavones with flavonols, C-glycosylflavone and flavanone were detected in F. chiisanensis (chiisanensis type), while only flavonols, C-glycosylflavone, and flavanone were present in other four taxa (chinensis type). This study showed that F. chiisanensis was not a hybrid between F. mandshurica and F. chinensis var. rhynchophylla, but an endemic taxon distributed in southwestern Korea. Morphologically F. chiisanensis should be included into subgen. Fraxinus, sect. Melioides according to Chang and Qiu's classification. F. platypoda, a taxon of sect. Meliodies in China and Japan, was different from F. chiisanensis with respect of scaled bud, decurrent wing of samara and the lack of flavones (chinensis type). Since four American taxa of sect. Melioides contained flavones (chiisanensis type), they are more closely related with F. chiisanensis chemically.

• Food Science and Preservation
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• v.18 no.4
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• pp.546-551
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• 2011

Response surface methodology (RSM) was used for the microwave-assisted extraction (MAE) of the effective components of grape seed, such as its antioxidative and nitrite-scavenging abilities. Microwave power (2,450 MHz, 0-160W), ethanol concentration (0-100%), and MAE time (1-5 min) were used as independent variables (Xi) for the central composite design to yield 16 different MAE conditions. The optimum MAE conditions were predicted for the dependent variables of the extracts, such as the total phenolic content ($Y_1$) antioxidative ability ($Y_2$), and nitrite-scavenging ability ($Y_3$), depending on different microwave powers, ethanol concentrations, and MAE times. The determination coefficients ($R^2$) of the regression equations for the dependent variables ranged from 0.8024 to 0.9498. The maximal values of each dependent variable were predicted at different MAE conditions, as follows: 3.19% total phenolic content at 142.32W, 44.30% ethanol, and 4.36 min, and 1.22 antioxidative ability at 84.44W, 56.60% ethanol, and 3.28 min. More than 99.5% nitrite-scavenging ability was predicted at pH 1.2-3.0, 30.80-106.58W, 49.32-55.18% ethanol, and 3.72-4.58min, respectively. The results indicated that the total phenolic content and anti oxidative ability showed a higher correlation with each other in that they were more influenced by microwave power than by the other variables, while the nitrite-scavenging ability was largely influenced by the ethanol concentration.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.159-165
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• 2017

In order to solve problems in automatic quality inspection of tablet capsules, computation-efficient image processing technique, appropriate threshold setting, edge detection and segmentation methods are required. And since existing automatic system for quality inspection of tablet capsules is of very high cost, it needs to be reduced through the realization of low-price hardware system. This study suggests a technique that uses low-cost camera module to obtain image and inspects dents on tablet capsules and sorting them by applying TLS curve fitting technique and edge-based image segmentation. In order to assess the performance, the major classifications algorithm of PCA, ICA and SVM are used to evaluate training time, test time and accuracy for capsule image area and curve fitting edge data sets.