• Journal of Distribution Science
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• v.18 no.8
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• pp.5-14
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• 2020

This study aims to examine the impact of characteristics of SNS content provided by airlines on customer satisfaction and to explore the effect of the personal characteristics of the customers which have a modulating effect on the relationship between content characteristics of SNS and customer satisfaction. The data were collected over a period of April 21. 2019. to July 21. 2019. for three months from the people who have experience using SNS provided by airlines. 225 samples were selected and used as final samples from a collection rate of 93.4 percent. Findings suggest that the characteristics of airline's SNS content which include a promotion, information, and communication showed a positive impact on customer satisfaction. The analysis of a modulating effect of individual characteristics on the relationship between the airline's SNS content characteristics showed that diversity pursuit propensity, innovation propensity, and information-seeking propensity control the relationship between characteristics of airline's SNS content which are publicity, information and customer satisfaction. And it was found that all three personal characteristics do not control the relationship between communication and customer satisfaction. Thus, airlines should use SNS more effectively to generate customer satisfaction and present marketing measures to help generate profits through consumer purchasing behavior. It is expected that the findings of this study will help airlines to utilize marketing implications for effective and practical marketing methods.

• Journal of Korea Multimedia Society
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• v.20 no.9
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• pp.1541-1550
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• 2017

The increasing number of multimedia content offered to the user demands content recommendation. In this paper, we propose a system for recommending content related to the content that user is watching. In the proposed system, relationship information between content is generated using relationship information between representative keywords of content. Relationship information between keywords is generated by analyzing keyword collocation frequencies in Internet news corpus. In order to handle big corpus data, we design an architecture that consists of a distributed search engine and a distributed data processing engine. Furthermore, we store relationship information between keywords and relationship information between keywords and content in NoSQL to handle big relationship data. Because the query optimizer of NoSQL is not as well developed as RDBMS, we propose query optimization techniques to efficiently process complex queries for recommendation. Experimental results show that the performance is improved by up to 69 times by using the proposed techniques, especially when the number of requested related keywords is small.

• Journal of Biosystems Engineering
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• v.20 no.3
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• pp.299-306
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• 1995

This study was carried to find out relationships between water content and sugar content in fruit and vegetables and present the possibility of estimating sugar content by measuring water content. Water content and sugar content of melons, peaches, and apples were measured. Both F-test and linear regression analysis on the experimental data were done. The regression models were developed and validated. The results were summarized as follow : 1. According to the F-test, the coefficients of determinant were greater than 0.8, and significance probability was less than 0.0001 in each materials. 2. According to the regression analysis of melons, peaches, and apples, the standard errors of calibration(SEC) were 0.67 brix%, 0.82 brix%, and 0.72 brix%, respectively. 3. The standard errors of prediction(SEP) were 0.76 brix%, 1.03 brix%, and 0.77 brix%, respectively. 4. The relationship between sugar content and water content in apple was successfully applied to measure the sugar content from hydrogen NMR spectrum of apple samples.

• Spatial Information Research
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• v.10 no.4
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• pp.533-550
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• 2002

Soil organic matter (SOM) content and other physical soil properties were extracted from a digital soil database, the Soil Survey Geographic (SSURGO) database, to map the amount of SOM and determine its relationship with topographic positions in floodplain areas along a river basin in Douglas County, Kansas. In the floodplains, results showed that slope and SOM content had a significant negative relationship. Soils near river channels were deep and nearly level, and they had the greatest SOM content in the floodplain areas. For the whole county, SOM content was influenced primarily by soil depth and percent SOM by weight. Among different slope areas, soils on mid-range slopes (10-15%) and ridgetops had the highest SOM content because they had relatively high percent SOM content by weight and very deep soils, respectively. SOM content was also significantly variable among different land cover types. Forest/woodland had significantly higher SOM content than others, followed by cropland, grassland, and urban areas.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.9
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• pp.1359-1363
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• 2002

In this paper, changes in the concentration of inosine monophosphate (IMP) of muscles in Taihe Silkies chickens from 2 to 28 weeks of age were studied. The results showed that: (1) with increasing age, IMP content of muscles decreased continuously. (2) the relationship between body weight and IMP content of musculus pectoralis major was significantly negative (p<0.01), so was body weight and IMP content of musculus peronaeus, and their coefficients of correlation were -0.45, -0.38 respectively; the relationship between IMP contents of musculus pectoralis major and that of musculus peronaeus was more significantly positive (p<0.01), and its coefficient of correlation was 0.59. (3) by multiple regression analysis, changes of IMP content of muscles depended on the weeks of age and body weight. (4) from 2 to 28 weeks of age, the heritabilities of IMP content of musculus pectoralis major were calculated between 0.33-0.48, and those of musculus peronaeus were calculated between 0.51-0.69.

• Journal of Environmental Science International
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• v.11 no.8
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• pp.765-771
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• 2002

The current study investigated the relationship between image processed data and human visibility data for natural forest scenes from the perspective of color. In particular, the results indicated relatively low Pearson product-moment correlations between the color ratings obtained from the two methods used in the study. The first method measured the color content of slides using a image processing program, while the second used a panel of human judges to rate the color content of each slide.

• Journal of Animal Science and Technology
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• v.65 no.5
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• pp.1081-1093
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• 2023

This study aimed to compare meat quality traits between Berkshire and crossbreed (Landrace × Yorkshire × Duroc), and to investigate the relationship between meat quality traits and fatty acid composition. 20 Berkshire and 20 crossbreed pigs were used to compare pork loin quality and to determine the relationship between measured variables. 23 variables were measured including proximate composition, pH, drip loss and cooking loss, Warner-Bratzler shear force, and fatty acid composition. Berkshire had higher moisture content, pH, water-holding capacity, saturated fatty acids, and redness than the crossbreed pig (p < 0.05). The fat content and polyunsaturated fatty acid were low (p < 0.05) in Berkshire. Correlation analysis showed a negatively correlation between moisture and fat content, and a positively correlation between saturated fatty acid and fat content. Moreover, saturated fatty acid and polyunsaturated fatty acid were negatively correlated. As a result of factor analysis and partial least square regression, saturated fatty acid and polyunsaturated fatty acid were estimated to be the main factors affecting quality characteristics of pork. Pig breed is associated with differences in meat quality, and fatty acid composition can have an effect on meat quality parameters.

• The Journal of Economics, Marketing and Management
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• v.11 no.3
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• pp.67-79
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• 2023

Purpose: This study examines the relationship between content characteristics and customer viewing and purchase intention in live-streaming commerce. Research design, data, and methodology: For this purpose, seven independent factors such as entertainment, artistry, storytelling, informativity, interactivity, reliability, and technicality are extracted based on previous literature. The viewing intention and purchase intention are adopted as dependent factors. The role of 'immersion' is investigated as a mediating factor between the independent and dependent factors. Results: The results showed that entertainment, artistry, technicality, and reliability significantly affected immersion, and immersion affected viewing intention and purchase intention. Immersion was found to play a mediating role between content characteristics and consumer viewing and purchase intention. Conclusions: The results indicate that the content characteristics not only attract customers but also affect their immersion, viewing intention, and purchase intention directly or indirectly in the live-streaming commerce sector.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.148-148
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• 2017

Soybean is an important economical resource of protein and oil for human and animals. The genetic basis of seed protein and oil content has been separately characterized in soybean. However, the genetic relationship between seed protein and oil content remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation and linkage mapping to dissect the relationship between seed protein and oil content. A $F_{10:11}$ RIL population containing 222 lines, derived from the cross between two Korean soybean cultivars Seadanbaek as female and Neulchan as male parent, were used in this experiment. Soybean seed analyzed were harvested in three different experimental environments. A genetic linkage map was constructed with 180K SoyaSNP Chip and QTLs of both traits were analyzed using the software QTL IciMapping. QTL analyses for seed protein and oil content were conducted by composite interval mapping across a genome wide genetic map. This study detected four major QTL for oil content located in chromosome 10, 13, 15 and 16 that explained 13.2-19.8% of the phenotypic variation. In addition, 3 major QTL for protein content were detected in chromosome 10, 11 and 16 that explained 40.8~53.2% of the phenotypic variation. A major QTLs was found to be associated with both seed protein and oil content. A major QTL were mapped to soybean chromosomes 16, which were designated qHPO16. These loci have not been previously reported. Our results reveal a signi cant genetic relationship between seed protein and oil fi content traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved seed protein and oil content.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.697-705
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• 2008

The recent web technology has been developed by three mainsprings which include integration, virtualization, and socialization. The web technology provides the increment of the social networking ability. However it deepens the exposure of privacy about personal information as more complicating and difficult problems. Representatively, it is impossible to define and manage the specific relation, so the personal information and interest can be inferred from collecting and summarizing the contents. Also, there are some problems that it is hard to construct the information owner's own social network. Thus this paper proposes the RCBAC(Relationship-Content based Access Control) Model which applies both the concepts of Relationship and Content Semantic to the existing access control methods to protect the user's own digital contents in web 2.0 environment. This method prevents privacy such as personal inclination from being exposed and enables to define and manage the specific relation. By doing this the information owners can construct their social network. This social network can be applied and extended to web contents.