• Korean journal of food and cookery science
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• v.22 no.6 s.96
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• pp.855-863
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• 2006

The purpose of this study was to provide the basic information on the functional cookies with pumpkin and ginseng powder. Pumpkin cookies with ginseng powder were prepared at various additions adding (0 g, 3 g, 6 g, 9 g). With increasing As the addition of ginseng powder additionincreased, there were significant decrease in the water contents and crude protein were significantly decreased (p<0.05). The spread factor and Hunter color's L, a, and b values in th dough and cookies were significantly decreased with increasing as the addition level of ginseng powder content was increased(p<0.05). Hardness measured using rheometer and onset, peak, and closing temperatures and gelatinization enthalpy using DSC showed significantly the higher values with increasing more additions of ginseng powder content. In sensory evaluation, surface cracking, and pumpkin flavor were decreased with lower levels of ginseng powder. Ginseng flavor and hardness were increased with lower levels of ginseng powder Overall desirability of cookies with addition of 3 g added ginseng powder was the highest of the four samplesproduction. Surface crakcracking washadhighly positively correlated with spread factor, a (redness) (p<0.01)and but negatively correlated with carbohydrate content (p<0.05). Ginseng aroma showed negative correlation to the water contents, crude protein, spread factor, and Hunter's a (redness) and b (yellowness) values (p<0.05).

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.299-324
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• 2022

In this study, in order to explore the contextual elements of book use that were overlooked in the existing book recommender system research, for 15 avid readers with various book search backgrounds, the contents generated in 6 book search situations were collected through the think-aloud protocol. By using content analysis from the collected book use contents, not only the internal and external appeal factors affecting book use, based on the 'appeal factor', the theoretical concept of the readers' advisory service, but also information sources and search methods regarding book use were identified and categorized. The results of this study can be used to extract and reflect meaningful attribute data in the future book recommender system design process.

• Journal of the Korean Society of Tobacco Science
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• v.13 no.1
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• pp.61-68
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• 1991

The moisture contents of threshed leaf tobacco during aging storage were very important factor for the improvement or deterioration of leaf quality. Decay and carbonization of leaf tobacco were mainly controlled by moisture contents during storage. The influence of moisture contents on the decay and carbonization of threshed leaf tobacco (Flue-Cured, Var. NC 82. AB3O-1 grade) were examined during 1 year. The moisture contents of leaf tobacco were treated to 3 kg as 12% (controle), 16%, 20% and 24% after redrying, respectively, These tobacco were put into center of carton box containing about 200kg with 12%'s tobacco, and then packed and stored from June, 1988 under natural weather condition in warehouse at Ock-Cheon threshing plant. Samples were taken from dissected carton box at 0, 1, 2, 4, 7 and 12 months after moisture treatment and Racking time, and some chemical properties were investigated at every sampling time. In results of inducement to decay and carbonization of leaf tobaccos during 1 year's storage by moisture treatment. decayed leaf was appeared but carbonized leaf did not. Calorification and decayed leaf occurred at high moisture contents above 20%, and these phenomena were appeared between 30 and 150 days after moisture treatment and packing. High moisture content leaves (above 20%) caused nearby other leaves to be sunk with high moisture content. Nicotine and calcium contents were increased to 20%~30% and 10%~22%, respectively, but total sugar contents was decreased to 40%~60% by moisture treatment(20% ~24% ).

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.677-687
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• 2018

The purpose of this study is to investigate the causes of pre-roll ads played before watching online video contents, and to investigate the using motives by dividing them into broadcasting contents clips and web original contents. The results show that broadcast contents clips have higher use of entertainment/habitual use and social interaction, and that the use time of web content is higher when entertainment/convenience and selective use motivation are higher. Second, perceived invasion has the greatest effect on ad avoidance in broadcasting contents clip, and positive attitude toward advertisement is a significant factor in web contents. Content factors such as content preference and engagement did not affect the avoidance of pre-roll ad.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.777-780
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• 2007

In these days, tourism contents development has been continuously increases due to the appearance of online contents generation, development of cultural contents industry and the spreads of leisure life among the ordinary people's life and it needs more significant research and development for the tourism product's varieties. Story telling means that the explanation or interpretation of tour guide or guide book of the tourist spots, they role as important pull factor which can determine the image of tourism destination. And it make tourist discover the identification its own specific contents. The purpose of this study is on to examine methods tourism contents development through storytelling.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.1-8
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• 2003

The growth of Internet is the main factor that activates the Digital Contents Market. However the Digital Contents Market could be shrunk by an illegal reprinting and imprudent using. Therefore we urgently need a new technology which can prevent the contents from illegal using, illegal reprinting and imprudent using. We developed the system prohibits a imprudent using in order to activate the Digital Contents Market. We developed the system protects the contents safely by removing the dangerous for the illegal reprinting with providing the encoded contents and the system removes the contents according to the number of usage and the user authentication through Network.

• Food Engineering Progress
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• v.21 no.3
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• pp.256-266
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• 2017

This study was designed to optimize ethanol extraction process of unfertilized corn silk (UCS) to maximize phytochemical contents and bioactivities. The response surface methodology (RSM) with central composite design (CCD) was employed to obtain the optimal extraction conditions. The influence of ethanol concentration, extraction temperature and extraction time on total polyphenol contents, total flavonoid contents, maysin contents, 2,2-diphenyl-1-picrylhydrazyl(DPPH) radical scavenging activities and tyrosinase inhibition were analyzed. For all dependable variables, the most significant factor was ethanol concentration followed by extraction temperature and extraction time. The following optimum conditions were determined by simultaneous optimization of several responses with the Derringer's desirability function using the numerical optimization function of the Design-Expert program: ethanol concentration 80.45%, extraction temperature $53.49^{\circ}C$, and extraction time 4.95 h. Under these conditions, the predicted values of total polyphenol contents, total flavonoid contents, maysin contents, DPPH radical scavenging activity and tyrosinase inhibition were $2758.74{\mu}g\;GAE/g$ dried sample, $1520.81{\mu}g\;QUE/g$ dried sample, 810.26 mg/100g dried sample, 56.86% and 43.49%, respectively, and the overall desirability (D) was 0.74.

• Journal of Nutrition and Health
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• v.35 no.7
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• pp.771-778
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• 2002

The purpose of this study is to investigate the contents of protein, fat, lactose and energy in the human milk and the intake of human milk and those nutrients in breast-fed infants from 16 lactating women in Seoul area during the first 5 months postpartum. Daily human milk intake was determined by test-weighing method and the milk from 16 mothers was analyzed for protein (semimicro Kjeldahl, N $\times$ 6.38), fat (milk checker), lactose (HPLC). Energy was calculated by Atwater and milk factor. The mean intake of human milk to the 5th month of lactation was 668 $\pm$ 186 $m\ell$/day. Mean protein contents of the human milk at 0.5, 12, 3, 4 and 5 months postpartum showed 1.48, 1.35, 1.17, 1.11, 1.15 and 1.10 g/100 $m\ell$ respectively. Lipid and lactose contents of the human milk during the first S months postpartum averaged 3.38 g/100 $m\ell$ and 6.79 g/100 $m\ell$. Energy contents at 0.5, 12, 3, 4 and 5 months postpartum showed 64.2, 66.1, 68.3, 60.1, 58.9 and 61.2 g/100 $m\ell$ respectively. Protein intake of infants from the human milk was 8.22 g/day which was 54.8% of Korean RDA. Lipid and lactose intake of infants were 23.0 and 45.6 g/day. Energy intake of infants was 422.3 kcal/day which was 84.4% of Korean RDA. Total energy content was almost same value regardless of Atwater or milk factor but the energy ratio was some different. Protein and solid contents decreased the course of lactation but lactose content was less changed. These results suggest that more research were required for the RDA.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.113-127
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• 2015

An interface in smart device environment is changing to TUI(touch user interface) environment where a system is being controlled by physical touch, differently from a system controlled through conventional mouse and keyboard. What is more important than anything else in this TUI environment is to implement interface in consideration of learn ability and cognitive constructivism according to user's experience. Therefore, now is the time when it is necessary to carry out various studies on smart content design process going a step farther together with discussing the details of user's experience factor. Hence, this study was intended to look into what effect a user's experiential traits had on the production of contents for the purpose of measures for improving TUI user satisfaction in order to effectively realize contents in smart environment. Results were yielded by using a statistical empirical analysis such as cross-tabulation analysis according to important variable and user, paired t-test, multiple response analysis, and preference frequency analysis of user preference on the basis of a survey. As a result, a system was presented for implementing DFSS(Design For Six Sigma) process. TUI experience factor can be divided into direct habitual experience, direct learning experience, indirect habitual experience, and indirect learning experience. And in the results of study, it was possible to find that the important variables of this study had a positive effect on the improvement of use satisfaction with contents on the whole according to the user convenience of smart contents. This study is expected to have a positive effect on efficient smart device-based contents production by providing objective information according to empirical analysis to smart media-based developer and designer and presenting a model for improving the changed TUI usability.