• Journal of Digital Convergence
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• v.19 no.5
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• pp.69-79
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• 2021

As the government's public services have been digitized, the necessity of research on the use of e-government services by middle and high-aged people has been raised. Thus, this study aims to verify the mediating effect of digital capacity on the relationship between the family structure and use of e-government services of middle and older aged adults. The study analyzed 1,660 middle and elderly individuals from the 2018 Digital Divide Survey conducted by the National Information Society Agency(NIA) using Baron & Kenny(1986)'s method for mediation. The result is as follows: first, the family structure of the middle and older adults has a significant effect on use of e-government services. Second, the effect of the family structure of middle and older aged people on use of e-government services is partially mediated by digital capacity. The result represents that the elderly living with two or three generations have higher use of e-government services than the elderly living alone and married elderly couple. Also the elderly living with two or three generations have higher digital capacity, resulting in higher use of e-government services. Based on the results, The study suggested that the specific plan for each type of family structure to promote the use of e-government services and a plan to improve the digital capacity of middle and older aged adults.

• Microbiology and Biotechnology Letters
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• v.29 no.3
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• pp.169-175
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• 2001

This study was conducted to investigate the effects of bifidobacteria on the growth and Caco-2 cell-adherence of Escherichia coli O157:H7 .Dur-ing momo-culture of E. coli O157:H7 and mixed culture with Bifidobacterium infantis K9, pH viable cell count, and ammonia concentration were measured Co-cultivation of E. coli O157:H7 with bifidobacteria. producing acidic metabolites rapidly decreased the viable cell count of E. coli O157:H7 In addition rapid decrease of ammo- nia concentration was observed during mixed culture after 8 hrs incubation compared to single culture of E. coli O157:H7 Therefore it is likely that bifidobacteria assimilate ammonia produced by E. coli O157:H7 P4 B, infantis K9 showed quite similar adherence on the Caco-2 cells in either case. On the other hand adherence of E. coli O157:H7 decreased from 2.6% to 1.86% when B infantis K9 was adhered to Caco-2 cell 2 hrs prior to the application of E. coli O157:H7 In conclusion in adherence of E coli O157:H7 to Caco -2 cell was inhibited by competition of its binding to the adherence site with bifidobacteria. In addition inhibitory effects of bifidobacteria on E coli O157:H7 appeared to be much higher with increae of the number of bifidobacteria and its ability of adherence to Caco-2 cells.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.