• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.4
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• pp.537-543
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• 2014

Three different granule powders of Citrus Hallabong were prepared with different ratios of fresh juice and citric acid (J10C3=10.0:3.08, J08C4=8.75:4.33, J07C5=7.5:5.58) at fixed quantities of juice powder (70%), pressed cake powder (10%), and additives (6.92%), and their physicochemical properties were measured and compared with targeted commercial product (CP). The moisture content of Hallabong granules (HG) was 5.08~5.44% (w/w), which was two times higher than that of CP. Titratable acidities increased with higher citric acid content and were 1.7~2.3 times lower in HG compared to that of CP. Soluble solids of HG increased with higher citrus juice content ($90{\sim}98^{\circ}Brix$) and were slightly lower than that of CP. Vitamin C contents of HG increased with higher citrus juice content and were 5.8~7.6 times lower than that of CP. In terms of color difference, L and b values of HG were higher while a value was lower than those of CP. Bulk and compaction densities of HG were 0.541~0.660 g/mL and 0.561~0.689 g/mL, respectively and were similar to those of CP. Water solubility and swelling capacity were 66.6~72.0% and 3.84~6.40 g/g, respectively, and were similar to those of CP. Hygroscopicity of HG after an hour of elapsed time was 1.6~1.8 times higher than that of CP. Sensory evaluation test showed that color, sweetness, and overall acceptance of HG were not significantly different from those of CP, whereas flavor and bitterness of HG were lower than those of CP. In conclusion, convenient food granules could be made with Citrus Hallabong juice and pressed cake, which is similar to the commercial product.

• Journal of Broadcast Engineering
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• v.10 no.1 s.26
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• pp.43-56
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• 2005

In the existing broadcasting environment, it is not easy to serve the bi-directional service between a broadcasting server and a TV audience. In the uni-directional broadcasting environments, almost TV programs are scheduled depending on the viewers' popular watching time, and the advertisement contents in these TV programs are mainly arranged by the popularity and the ages of the audience. The audiences make an effort to sort and select their favorite programs. However, the advertisement programs which support the TV program the audience want are not served to the appropriate audiences efficiently. This randomly provided advertisement contents can occur to the audiences' indifference and avoidance. In this paper, we propose the target advertisement service for the appropriate distribution of the advertisement contents. The proposed target advertisement service estimates the audience's profile without any issuing the private information and provides the target-advertised contents by using his/her estimated profile. For the experimental results, we used the real audiences' TV usage history such as the ages, fonder and time of the programs from AC Neilson Korea. And we show the accuracy of the proposed target advertisement service algorithm. NDS (Normalized Distance Sum) and the Vector correlation method, and implementation of our target advertisement service system.

• Korean Journal of Food Science and Technology
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• v.49 no.1
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• pp.8-13
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• 2017

Octenyl succinylated (OSA) potato starch was dextrinized by two methods: ultrasound (at 25, 50, or $70^{\circ}C$ for 1 h; OSA-25UT, OSA-50UT, and OSA-70UT, respectively) and acid hydrolysis (for 1 or 4 h; OSA-AD1H or OSA-AD4H, respectively), and the properties of the resulting starch were analyzed. The melting enthalpy of OSA-70UT decreased the most (from 14.0 to 10.0 mJ/mg), indicating chain degradation. For pasting properties, as ultrasound treatment temperature increased, peak viscosity decreased (2884, 2550, and 1888 cP, respectively), whereas acid hydrolysis increased peak viscosity and decreased pasting temperature. The relative crystallinity of OSA-dextrin produced by ultrasound or acid hydrolysis significantly decreased (from 33.61 to 14.90-26.03 and 19.28-20.05, respectively) as temperature or time increased, yet a B-type crystal pattern was maintained. Regarding emulsifying stability and sensory tests of mayonnaise prepared with OSA potato dextrin, mayonnaise with OSA-70UT was stable for short storage period (1 week), however mayonnaise with OSA-AD1H was the most suitable for long storage periods (from 2 to 4 weeks). In addition, the OSA-70UT was the most acceptable for mayonnaise in the sensory test.

• Journal of the Korean earth science society
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• v.22 no.6
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• pp.528-547
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• 2001

The blastoporphyritic granite gneiss (BPGN) including much alkali-feldspar megacrysts occurs in Jiri mountains area, southwestern part of Sobaegsan massif, Korea. The BPGN is formed gneiss complexes with other gneisses in Precambrian. The BPGN was named as porphyroblastic gneiss with porphyroblasts of alkali-feldspar megacrysts by other researchers, but the BPGN includes of euhedral alkali-feldspars (microcline), and the boundary with the granitic gneiss represents sharp contact as intrusive relationship. The BPGN mainly composes of alkali-feldspar megacrysts, quartz, plagioclase, K-feldspar and biotite some almandine and accessary minerals are muscovite, chlorite, apatite, zircon and opaques. The alkali-feldspar is microcline with perthitic texture. An content of plagioclases show 30 to 40. Biotites occur two type, one is Brown biotite which shows compositional ranges of Mg/Fe+Mg ratios from 0.38 to 0.52, the other is Green Bt. which is retrograde product. Camels to be various sizes and shapes have composition of almandine with 73 to 80 mole percent, but represent retrogressive zoning from core (X$_{pyr}$: 15.9${\sim}$20.8) to rim (X$_{pyr}$:13.7${\sim}$15.9) to be evidence of retrograde metamorphism. Megacrysts of alkali-feldspar in the BPGN show rectangular shape of euhedral and some become ellipsoidal or spheroidal in shape and the average size up to 20 cm long. The megacryst includes of biotite, plagioclase and quartz, and rarely euhedral apatite as inclusions. In petrochemistry the BPGN represents granodiorite composition, characteristics of peraluminous S-type granitoid and calc-alkaline features.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.9
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• pp.1106-1113
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• 2017

The objective of this study was to determine the quality characteristics of fried yakgwa and baked yakgwa prepared with different amounts of P. frutescens powder. Moisture contents of fried yakgwa were 7.05%, and moisture content of baked yakgwa with different amounts of P. frutescens powder were 12.42~10.44% and decreased with higher amount of P. frutescens powder. This result can be attributed to loss of water in yakgwa in the course of the fried process. Although the degree of expansion of baked yakgwa was lower than that of fried yakgwa, size and shape of yakgwa were maintained. Yakgwa is appropriate as a cookie type product. Crude lipid contents of fried yakgwa were higher than those of baked yakgwa due to the exchange reaction of water and fat during the fried process. Energy of fried yakgwa was 501 kcal and was higher than that of baked yakgwa with different amounts of P. frutescens powder. This greatly affected the fat content of each sample. Energy of baked yakgwa increased with higher amount of P. frutescens powder due to the characteristics of the ingredients or jasoyeop. For chromaticity determination, L values of fried yakgwa were lower, but a, and b values were higher than those of baked yakgwa, and L, a, and b values decreased when P. frutescens powder increased. Texture measurement showed that hardness, cohesiveness, chewiness, gumminess increased with higher amounts of P. frutescens powder, whereas springiness decreased. The antioxidant activities of fried yakgwa measured based on DPPH scavenging activity were higher than those of baked yakgwa with 0%~0.2% P. frutescens powder and lower than those of baked yakgwa with 0.3%~0.4% P. frutescens powder. In the sensory evaluation, baked yakgwa with 0.1% addition of P. frutescens powder showed the highest preference in terms of overall acceptance, and 0% addition of P. frutescens powder showed the highest preference in terms of color and flavor. These results suggest that P. frutescens powder may be a useful ingredient in baked yakgwa to improve quality and sensory properties.

• Korean Journal of Environmental Agriculture
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• v.20 no.1
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• pp.20-27
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• 2001

Stream water chemistry in the abandoned Boeun Jeil coal mine area was studied for a period of 3 months, including rainy and dry season. The stream waters were a nearly neutral and slightly alkali condition, and $Mg-SO_4$ type with Mg>Ca>Na>K and $SO_4>HCO_3>Cl>NO_3$. Chemical composition of the stream water was quite irregular during the experimental period. Concentrations of Na, K, $HCO_3$, U, Sr, and Cr decreased by $10{\sim}30%$ during rainy season, caused by dilution effects with rain. The concentration of Ca, Mg, $NO_3$, Cd, and Co increased during the rainy season, caused by more easily dissolved from bedrocks or mine drainage with slightly acidic condition than dry season. The stream water was enriched in Mg, Ca, $HCO_3$, $SO_4$, Al, Fe, Zn, Ni, Co, Cr, Cd, Sr and U. Concentrations of Na, Mg, Ca, $SO_4$, $HCO_3$, Fe, Zn, Ni, Sr, and U decreased linearly with distance from the mine adit. These elements were strongly controlled by dilution of unpolluted water influx and/or adsorption on the clay minerals and iron oxyhydroxide precipitates. This mine area exhibited two main weathering processes ; 1) oxidation with acidification derived from Fe sulphides, and 2) pH buffering due to Ca and Mg carbonate dissolution. This weathering processes were followed by adsorption of metals on iron oxyhydroxides and precipitation.

• Korean journal of applied entomology
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• v.49 no.4
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• pp.277-287
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• 2010

Several species of the genus Aphidius are used in biological control programs against aphid pests throughout the world and their behavior and physiology are well studied. While the importance of sensory organs in their behavior is understood, their antennal structure remains largely unknown. In this study, the external morphology and distribution of the antennal sensilla on the antennal of both female and male adults of A. colemani were described using scanning electron microscopy (SEM). Generally, the filiform antennae of males ($l,515.2{\pm}116.5\;{\mu}m$) are longer than females ($l,275.1{\pm}103.4\;{\mu}m$). Antennae of this species are made up of radicle, scape, pedicel and flagellomeres. Male and female antennae differed in the total number of flagellomeres as 15 in males and 13 in females. The result of SEM observation was characterization and grouping of seven types of receptors into morphological classcs: Bohm bristles, Sensilla placodea, 2 types of S. coeloconica and S. trichodea, and S. basiconica as with a tip pore and with wall pores. In addition, the possible functions of the above sensilla types arc discussed in light of previously published literature; mechanoreception (Bohm bristles, S, coeloconica I & II and S. trichodea) and chemoreception (S. placodea, S. basiconica type I & II).

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Journal of Life Science
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• v.22 no.3
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• pp.407-416
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• 2012

In this study, we purified the extracts from the seeds and the roots of various plant species, including Q. acutissima, C. lanceolata, P. mirifica, P. bambusoides, and S. repens, and then investigated the effects of these extracts on cell growth and fat accumulation in adipocytes. We found that the extracts purified from Q. acutissima, C. lanceolata, P. mirifica, P. bambusoides, and S. repens more effectively increased the cell growth, as well as promoting the fat accumulation in adipocytes to a greater extent, than other extracts in vitro. Therefore, we made breast packs containing these effective extracts, and then investigated whether they were effective in enhancing the elasticity and volume of women's breasts. The measurements of breast elasticity and size revealed that the breast packs efficiently increased the elasticity and size of women's breasts. Furthermore, evaluation of the questionnaires related to usage of the breast packs indicated great satisfaction in terms of the lift, firmness, and elasticity of breasts. In conclusion, extracts purified from Q. acutissima, C. lanceolata, P. mirifica, P. bambusoides, and S. repens leading to cell growth and fat accumulation in adipocytes can effectively contribute to improving the elasticity and size of women's breasts.

• Analytical Science and Technology
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• v.27 no.1
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• pp.41-59
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• 2014

The aims of this work were the identification and the classification of fresh lubricants and used engine oils of vehicles for the application in forensic science field-80 kinds of fresh lubricants were purchased and 86 kinds of used engine oils were sampled from 24 kinds of diesel and gasoline vehicles with different driving conditions. The sample of lubricants and used engine oils were analyzed by GC/MS. The Bayesian model technique was developed for classification or identification. Both the wavelet fitting and the principal component analysis (PCA) techniques as a data dimension reduction were applied. In fresh lubricants classification, the rates of matching by Bayesian model technique with wavelet fitting and PCA were 97.5% and 96.7%, respectively. The Bayesian model technique with wavelet fitting was better to classify lubricants than it with PCA based on dimension reduction. And we selected the Bayesian model technique with wavelet fitting for classification of lubricants. The other experiment was the analysis of used engine oils which were collected from vehicles with the several mileage up to 5,000 km after replacing engine oil. The eighty six kinds of used engine oil sample with the mileage were collected. In vehicle classification (total 24 classes), the rate of matching by Bayesian model with wavelet fitting was 86.4%. However, in the vehicle's fuel type classification (whether it is gasoline vehicle or diesel vehicle, only total 2 classes), the rate of matching was 99.6%. In the used engine oil brands classification (total 6 classes), the rate of matching was 97.3%.