• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.6
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• pp.1000-1005
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• 2004

Structured lipids (SLs) were synthesized by acidolysis of crude oils (corn and peanut oil) and conjugated linoleic acid (CLA) with a molar ratio of 1:3 (extracted oil:CLA) in a shaking water bath. The reaction was performed for various reaction time (1, 2, 3, 6 and 24 hr) at 55$^{\circ}C$ with 175 rpm catalyzed by sn -1,3 specific IM 60 lipase from Rhizomucor miehei. The content of the incorporated CLA increased with the prolonged reaction time, showing 7.5∼9.3 ㏖% in the synthesized SL triacylglycerol molecules from the extracted corn and peanut oil. However, total tocopherol content in SLs decreased up to about 20% compared to the content in extracted oils. Among the CLA isomers, 6.3∼7.5 ㏖% of cis 9,trans 11- and trans 10,cis 12-CLA known as physiologically active compounds are contained in corn and peanut SLs.

• Journal of Sericultural and Entomological Science
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• v.21 no.2
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• pp.11-19
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• 1979

This has been carried out how the sericin insoluble fixations of raw silk should be with potassium alum. This is learned from the leather tanning technique which the process works with collagen, a kind of proteins. Former reports had shown such works, however, they did not consider the moisture absorbability after their process reports by using chromium alum, formalin or vinyl acetate grafting. This report, however, paid attention to protect such absorbability as well as sericin fixation, so far it may be useful for plactical use of silk. In order to clear how the sericin is fixed with such chemicals, fundermental mechanism of weding process and chemical reaction against proteins were also discussed. The obtained results of the report are as followings. 1. Alum should not be treated for raw silk with high temperature bath like other reports because such treat induces raw silk to be stiffly after the treat. 2. It is recommended that raw silk should be treated with alum solution at room temperature for more than three hours. Even in this case, the use of only alum with raw silk could to fix sericin some how, but it increased the water proofness of the silk. 3. 1% of alum solution was found to be able to fix the sericin of raw silk. 4. In case we consider only sericin fixations, a combination treat of 1% alum for three hours and 0.5% NaOH for ten minutes method showed the best result. 5. In case we consider sericin insoluble fixation and moisture absorbility, the reversive combination of the above process was found to be the best results. 6. Sericin fixing evidence was shown with drying feature curves of wed each treated silk where we could to analyze how the chemical nature is changed after each treat. 7. Deguming ratio may be obtained up to 4.3% after the alum combination treat with regular raw silk. Such ratio was considered to be good enough for the purpose when the textile is washed with warm soap water. 8. Moisture absorbability of the combination treat of alum and NaOH was found to be good enough as well as non treated silk. 9. The tenacity and elongation of the treated silk did not change even after three month. 10. Above all, this method is considered to be better process than other coloured fixing (tannin method. Cr-alum method) or smell fixing (formalin method. vinyl acetate method).

• Korean Chemical Engineering Research
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• v.40 no.6
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• pp.769-777
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• 2002

Using four components - nonionic surfactants, water, hydrocarbon oil and an alcohol as cosurfactant, 12 types of cleaning agents were prepared, and their physical properties such as surface tension, viscosity, electroconductivity and phase stability were measured. As the formulated cleaning agents have low surface tensions(30.5-31.1 dyne/cm) and low viscosities (1.6-7.2 c.p.), they are satisfied with the general physical properties of water-in-oil(W/O) microemulsions for their industrial use. They showed a tendency that their temperature range for stable one-phase microemulsion decreased in accordance with the increase of alcohol/surfactant(A/S) ratio in the formulations. However, the temperature range of one-phase microemulsion was much more affected by hydrophilic lipophillic balance(HLB) value of the nonionic surfactant which increased its temperature range and it increased in accordance with the higher HLB value in the formulations. And the maximum content of water which can keep stable one-phase W/O microemulsion was measured at each sample. In addition, their temperature range for stable one-phase microemulsion was also measured. It was confirmed that the selection of surfactant type was very important for formulating a cleaning agent, since the W/O microemulsion system with the nonionic surfactant of the lower HLB value showed better cleaning efficacy that of the higher HLB value for abietic acid as a soil, which was used for preparing a rosin-type flux. In the formulated cleaning agents with the increase of A/S ratio in the formulations, however, there was no significant difference in cleaning efficacy. It was investigated that the differences of their cleaning efficacy was affected by the change of the condition of temperature and sonicating frequency as important factors in the industrial cleaning. That is, the higher, their cleaning temperature and the lower, their sonicating frequency, the more increased, their cleaning efficacy. Furthermore, using optical instruments like UV/Visable Spectrophotometer and FT-IR Spectrometer, their cleaning efficacy for abietic acid was measured. The removal of soil from the contaminated rinse water was measured by gravity separation method in the rinse bath. As a result, the cleaning agent system having the nonionic surfactant of HLB value 6.4 showed over 85% water-oil separation efficacy at over $25^{\circ}C$. Therefore, it was demonstrated in this work that the formulating cleaning agents were very effective for cleaning and economical in the possible introduction of water recycling system.

• The Korean Journal of Community Living Science
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• v.16 no.4
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• pp.139-157
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• 2005

In rural area, as the source of family income is related with the agriculture works, the living condition of non-farming family used to be lower except some family groups with a little higher income. In order to find out the improvement in rural life, data about the health behavior and diet habits of non-farming family were observed. This study evaluated the health behavior and diet habits of non-farming families by comparing them with those of the farming families in rural area. The survey was made by trained interviewers and a total of 1,870 subjects from 9 provinces were questioned to collect the data through sampling probability proportional to size. The non-farming families were $29.6\%$ of the total and they were with no spouse($38\%$), low number of family members(2.86), and aged husband(66.8 years) or wife(58.5 years). $83.1\%$ of the non farming families were having breakfast however, $95.1\%$ of the farming families were doing it. And the number of side dishes in non farming families was low(1-2 kinds: $17.7\%$). Out of non farming families, $47.3\%$ took no nutritional supplements and out of the farming families it was 40.8 $\%$ With regard to having snacks, $22\%$ of non-farmers had snacks daily and it was greater than that of farmers($16.6\%$). But the ratio of non-snack taking of the non-farmers($29.6\%$) was higher than that of farmers($24.5\%$). The sorts of snacks also varied and for farmers it used to be fruit and noodles and for non-farmers it was bread and milk. Instant foods were often selected by $35.6\%$ of non-farmers. Dining out with a frequency of once per month was reported in $23.2\%$ of non-farming families, but $47.6\%$ of them did not dine out at all. In case of food production for family consumption, small portion of non-farmers cultivated pepper($13.3\%$), Korean cabbage ($16.2\%$), and sesame($6.2\%$) but almost all of the farmers cultivated such crops. However, non-farmers produced soybean sprouts($0.7\%$), soybean curd($0.2\%$), and eggs($7.2\%$) and it was compared with the fact that farmers produced soybean sprouts($9.7\%$), soybean curd ($4.6\%$), and eggs($5.1\%$). Non-farmers stocked the fermented foods: Doenjang ($57.8\%$), Kochujang ($56.1\%$), Kanjang ($53.6\%$), Kimchi ($77.9\%$) and Jangajji ($37.2\%$), and this ratios were smaller than those of farmers: Doenjang ($93.6\%$), Kochujang ($92.9\%$), Kanjang ($87.9\%$), Kimchi ($97.7\%$) and Jangajji ($66.7\%$). As to health behavior of the subjects, non-farmers had less medical examinations and bathing than farmers did. Non-farmers and their wives used public bath facilities more often and it may be due to the low condition of bathing facilities. And the ratio of daily alcohol consumption was $15\%$ and it was higher than that of the farmers. Most of the spouse of the farmers did not drink($78\%$), but the wives of the non-farmers were drinking more frequently. More farmers smoked than non-farmers and $45\%$ of male farmers were smokers.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• Korean Journal of Agricultural Science
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• v.39 no.3
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• pp.395-405
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• 2012

Lipozyme TL IM-catalyzed esterification was carried out to produce functional hard fat (structured lipid, SL) using palm stearin (PS) and hydrolysate of pomegranate seed oil (HPSO) of 1:6 molar ratio. HPSO contained conjugated linolenic acid (CLnA, about 80%). The reaction was performed at non-solvent system and solvent (n-hexane) system using Lipozyme TL IM (10% of total substrates, w/w) for 12, 24, and 72 hr in a shaking water bath ($55^{\circ}C$ and 185 rpm), respectively. SL synthesized in non-solvent system (NH-SL) and SL synthesized in n-hexane system (H-SL) were refined after deacidification, respectively. Their physicochemical properties were compared to obtain desirable functional hard fat. The content of CLnA in NH-SL increased from 34.38% to 40.63% with increasing reaction time. Similar results also observed in H-SL resulting in 36.81~45.83% of CLnA. In triacylglycerol (TAG) composition, the main molecules of LnLnLn (Ln=linolenic acid, PN=36) and the LnLnP (P=palmitic acid, PN=40) were newly synthesized in NH-SL and H-SL with increasing reaction time. After 72 hr reaction, iodine values of NH-SL (136.49) and H-SL (140.37) showed high values because of the high content of CLnA. Solid fat index (SFI) in NH-SL was higher than that in H-SL at each measured temperature. The predominant polymorphic forms of NH-SL and H-SL obtained after esterification for 72 hr were the desirable crystalline structure of the ${\beta}$' form.