• Asian-Australasian Journal of Animal Sciences
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• v.21 no.12
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• pp.1703-1709
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• 2008

As genetic markers, single nucleotide polymorphisms (SNP) are very appropriate for the development of genetic tests for economic traits in livestock. Several microsatellite markers have been identified as useful markers for the genetic improvement of Hanwoo. Among those markers, ILSTS035 was recently mapped at a similar position with four SNPs (AH1_11, AH1_9, 31465_446, and 12273_165) in a linkage map of EST-based SNP in BAT6. Among the four SNPs, two SNPs (31465_446 and 12273_165) were analyzed using BLAST at the NCBI web site. The sequences including the 12273_165 SNP were identified at the intron region within the LOC534614 gene on the gene sequence map (Bos taurus NCBI Map view, build 3.1). The LOC534614 gene represents a protein similar to myosin heavy chain, fat skeletal muscle, embryonic isoform 1 in the dog, and myosin_1 (Myosin heavy chain D) in Macaca mulatta. In cattle, the myosin heavy chain was associated with muscle development. The phenotypic data for growth and carcass traits in the 415 animals were analyzed by the mixed ANCOVA (analysis of covariance) linear model using PROC GLM module in SAS v9.1. By the genotyping of Hanwoo individuals (n = 415) to evaluate the association of SNP with growth and carcass traits, it was shown that the 12273_165 SNP region within LOC534614 may be a candidate marker for growth. The results of the statistical analyses suggested that the genotype of the 12273_165 SNP significantly affected birth weight, weight of the cattle at 24 months of age, average daily gain and carcass cold weight (p<0.05). Consequently, the 12273_165 SNP polymorphisms at the LOC534614 gene may be associated with growth in Hanwoo, and functional validation of polymorphisms in LOC534614 should be performed in the future.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.223-226
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• 2006

The development of Semantic Web basically requires knowledge induced from the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Universal Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of URI in real data including science & technology publications. This paper describes the method to construct human resources based on URI which are the critical components on national R&D reference information ontology. We use co-authors, e-mails, publication date, and affiliation for discriminating authors with the same strings. HRST is referred to acquire human resource URIs. We expect the human resources would be adopted to outcome analysis applications such as researcher network analysis and outcome statistics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• Journal of the Korean Society of School Health
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• v.31 no.1
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• pp.10-17
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• 2018

Purpose: The purpose of this study was to examine the health behaviors and health status of adolescents in multicultural families according to gender. Methods: The study used raw data of the Korean Youth Risk Behavior Web-Based Survey performed in 2016. The 12th survey was conducted on 67,983 adolescents in 400 middle schools and 400 high schools. Among them, 759 adolescents were included in this study. Their data were analyzed using descriptive statistics, $x^2$-test, and Pearson's correlation. Results: There were significant differences in economic status, smoking experience, age of drinking onset, vigorous physical activity, soft drink consumption, toothbrushing after lunch, handwashing with soap before eating at school and eating at home and after coming home, BMI, subjective health status, stress, depression, and allergic rhinitis according to gender in multicultural adolescents. For boys, significant positive correlations were found between age and the age of drinking onset, between academic achievement and economic status, and between the age of smoking initiation and the age of drinking onset. However, there were significant negative correlations between economic status and stress and between subjective health status and stress. For girls, age had positive correlations with academic achievement, the age of drinking onset, BMI, and stress and economic status had positive correlations with academic achievement, the age of smoking initiation, and subjective health status. Also, the age of smoking initiation had positive correlations with the age of drinking onset and BMI. Lastly, there were negative correlations between age and economic status, between age and subjective health status, academic achievement and the age of smoking initiation, economic status and stress, and subjective health status and stress. Conclusion: The results of this study are expected to be useful as basic data for planning health interventions for boys and girls in multicultural families.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.617-624
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• 2017

The production of cabbage, which is mainly cultivated in open field, varies greatly depending on weather conditions, and the price fluctuation is largely due to the presence of a substitute crop. Previous studies predicted the production of cabbage using actual weather data, but in this study, we predicted the wholesale price using unstructured agricultural meteorological data on the web. From January 2009 to October 2016, we collected documents including the cabbage on the portal site, and extracted keywords related to weather in the collected documents. We compared the forecast wholesale prices of simple models and unstructured agricultural weather models at the time of shipment. The simple model is AR model using only wholesale price, and the unstructured agricultural weather model is AR model using unstructured agricultural weather data additionally. As a result, the performance of unstructured agricultural weather model was has been found to be more accurate prediction ability.

• Child Health Nursing Research
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• v.23 no.1
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• pp.101-110
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• 2017

Purpose: The purpose of this study was to analyze the mental health and health risk behaviors of multicultural adolescents according to their mothers' native country. Methods: For this study raw data from the 11th Youth Health Behavior Online Survey (2015) was examined. Mental health and health risk behaviors for 62,985 adolescents were analyzed according to their mothers' native country. Collected data were analyzed with the SPSS program using descriptive statistics and logistic regression analysis, to which the complex sample design was applied. Results: The odds ratio of depression in multicultural adolescents compared to Korean adolescents was 44.92 (CI: 5.77-349.59) for adolescents whose mothers came from Cambodia and 3.00 (CI: 1.57-5.76) for adolescents whose mothers came from North Korea. The odds ratio of attempted suicide was 14.73 (CI: 3.09-70.22) for adolescents whose mothers came from Cambodia and 8.63 (CI: 3.45-21.62) for adolescents whose mothers came from North Korea. The odds ratio of problematic drinking in multicultural adolescents was 7.47 (CI: 1.71-32.67) for adolescents whose mothers came from Mongolia. Conclusion: Findings indicate that when planning a health promotion program for adolescents from multicultural families, a customized approach should be sought taking into account the characteristics of mothers' native country.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.15-28
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• 2016

As the industry of Mobile Internet has been gradually developed, the major device for accessing the web is predicted to shift from PC to Mobile devices in the near future. This drastic increase of demand in Mobile devices has drawn a more convenient standard of living by transcending time and space in our lives, however, it triggered various side effects such as a digital divide. This study was conducted to analyze how people utilize the contents via Mobile devices and their active attitude toward Mobile Internet by dividing individual characteristics into generations, education level and income level, and also identify whether Mobile contents utilization has an effect on the active attitude. The research results could be used for establishing a policy to narrow the gap in Mobile contents use and active attitude by individual characteristics.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.11-17
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• 2014

In this study we explain the necessity of a developing management system of academical achievement in a progrm running the accredited engineering program as an observation and management tool to assure students' succesive achievement of program outcomes, and also present an operation result of the constructed management system. Taking the electronic engineering program in our school as an object, we constructed a relating database to monitor the students' course work completions and achievement of program outcomes, to allow students to build their plans for course work and to enable professors to proceed customized counseling for assigned students. The constructed system also provide various statistics relating program outcomes to allow program professors to proceed effective management of outcomes in the program level. In this paper we show that it is possible to calculate and provide the various statistical indicators, which is needed to effectively run accredited engineering programs, by presenting the results relating successful construction of the system and its operation.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.847-858
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• 2005

The purpose of this study was to examine consumer purchasing behavior of the online shoppers particularly using online clothing shopping mall and to analyze the key factors of both satisfaction and dissatisfaction of their purchase and to compare the both group by lifestyle segmentation in order to provide the e-CRM strategies. Focus group interviews and survey were conducted in December, 2003 with 30 online shoppers who have an experience of online clothing purchasing. The data analysis included the content analysis, descriptive statistics, K-means and factor analysis. Key findings of the study were as follows: First, online shoppers spent average 3.5 hours on internet and usually purchased clothing while surfing the web. Second, consumers were satisfied with reasonable price and customized service but dissatisfied with delayed delivery, limited product availability in both size and color and return policy. Third, according to the lifestyle segmentation, online shoppers could be characterized as 'Luxurious', 'Trendy' and 'Prudent' 'Luxury-oriented consumers', who value fashion, diet and social activity, tended to purchase basic yet high quality products. However, 'Trend-oriented consumers', to whom fashion trend was most important, purchased various latest fashion products with reasonable price and showed generally positive response to emails sent by e-retailers. And lastly 'Prudence-oriented consumers', whose buying decision was based solely on practicality, appeared to be reluctant to purchase clothing online while seeking more credible information and competitive price. In conclusion, this study has its significance in that it helps promote relationships between customers and e-retailers by providing differentiated e-CRM strategies through each customer groups 'lifestyle segmentation and consumer purchasing behavior analysis.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.7
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• pp.63-70
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• 2006

This paper describes research of using area of artificial mark on vision based head tracker system. A head tracker system consists of the translational and rotational motions which are detected by web camera. Results of the motion are taken from image processing and neural network. Because of the characteristics of cockpit, the specific color on the helmet is tracked for translational motion. And rotational motion is tracked via neural network. Ratio of two different colored area on the helmet is used as input of network. Neural network algorithms used, such as back-propagation and RBFN (Radial Basis Function Network). Both back-propagation using a characteristic of feedback and RBFN using a characteristic of statistics have a good performances for the tracking of nonlinear system such as a head motion. Finally, this paper analyzes and compares with tracking performance.