• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.174-180
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• 2021

The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.407-419
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• 2021

This study investigated the perception of science philosophy education targeting 150 elementary school teachers in metropolitan cities and provinces. The questionnaire survey on the perception of the philosophy of science education was composed of a 5-point Likert scale based on the interest and experience of the philosophy of science, the reason for difficulty in using it, and the introduction method, the expected effect. As a result of the survey, elementary school teachers' awareness of the interest and necessity of the philosophy of science was generally high, while the experience of learning and teaching the philosophy of science was low. In addition, to the reason why it was difficult to utilize the philosophy of science, teachers answered that there was insufficient teacher training and development of teaching and learning methods. As a way to introduce the philosophy of science in science education, it was thought that it was necessary to combine the concept learning and inquiry method, and elementary school teachers' perception of the expected effect of using the philosophy of science was generally high. The results of this study are meaningful in that they provide basic data on the direction of the introduction of the philosophy of science in elementary science education.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.149-157
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• 2019

The fourth industrial revolution era calls for the ability to solve problems creatively based on basic literacy for technology. These capabilities can be enhanced through the maker education linked to SW education STEM convergence education. Meanwhile, one of the tasks that must be set prior to the maker education is to take an educational approach rather than a tech-centric approach and consider ways to stimulate interest and motivation of the participants. For this purpose, this study developed and applied an engineering-oriented Reading & Maker education program to prospective teachers so that they could participate in active making activities on their own with interest and sympathy rather than simply guiding maker activities. As a result of the study, the results of the maker education recognition survey after the application of the program showed a statistically significant improvement(p<.000).

• Database Research
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• v.34 no.3
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• pp.86-98
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• 2018

Point-of-Interest(POI) recommendation systems suggest the most interesting POIs to users considering the current location and time. With the rapid development of smartphones, internet-of-things, and location-based social networks, it has become feasible to accumulate huge amounts of user POI visits. Therefore, instant recommendation of interesting POIs at a given time is being widely recognized as important. To increase the performance of POI recommendation systems, several studies extracting users' POI sequential preference from POI check-in data, which is intended for implicit feedback, have been suggested. However, when constructing a model utilizing sequential preference, the model encounters possibility of data distortion because of a low number of observed check-ins which is attributed to intensified data sparsity. This paper suggests refinement of temporal intervals based on data confidence. When building a POI recommendation system using temporal intervals to model the POI sequential preference of users, our methodology reduces potential data distortion in the dataset and thus increases the performance of the recommendation system. We verify our model's effectiveness through the evaluation with the Foursquare and Gowalla dataset.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.151-157
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• 2021

Along with hair beauty, skin beauty, and nail beauty, according to the rapidly changing social flow of industrialization and appearanceism, makeup is acting as an important means for successful social life and smooth human relationships. Accordingly, the realistic need to increase sales of the beauty industry by investigating individual preferred makeup colors from various angles is emerging. Therefore, the makeup interest and color preference according to the pursuit of appearance management were analyzed for women in their teens to 40s living in Gwangju Metropolitan City and Jeollanam-do. As a result of the study, it was found that service workers, students, and teenagers and younger usually wear a lot of makeup. ) was found to be the most used. Through this study, I believe that it will be used as basic data for future makeup product development as well as application data for color selection by makeup artists as well as to increase sales of beauty shops.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.975-980
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• 2021

As technology utilizing low-power short-range wireless communication is applied in conjunction with medical information as a development of the fourth industrial revolution, interest in medical information is increasing. As the age group of smart devices increases and becomes more common, related research such as linking mobile devices with various objects and equipment is continuously being conducted. In addition, interest in untact (non-face-to-face) is increasing due to the prevalence of Coronavirus Disease-19 (COVID-19), including various infectious diseases. As a result, it is a state that requires distance not only in social but also in life. In this study, using a low-power near-field wireless communication technology of beacons to create an IoT device by communicating with the web server of the medical information system was studied to make it easier to receive medical treatment during visits to medical institutions.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.133-139
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• 2020

Big data, artificial intelligence (AI), and machine learning are keywords that represent the Fourth industrial Revolution. In addition, as the development of science and technology, the Korean government, public institutions and industries want professionals who can collect, analyze, utilize and predict data. This means that data analysis and utilization education become more important. Education on data analysis and utilization is increasing with trends in other academy. However, it is true that not many academy run long-term and systematic education. Korea Institute of Science and Technology Information (KISTI) is a data ecosystem hub and one of its performance missions has been providing data utilization and analysis education to meet the needs of industries, institutions and governments since 1966. In this study, KISTI's data education was analyzed using the number of curriculum trainees per year from 2001 to 2019. With this data, the change of interest in education in information and data field was analyzed by reflecting social and historical situations. And we identified the characteristics of KISTI and trainees. It means that the identity, characteristics, infrastructure, and resources of the institution have a greater impact on the trainees' interest of data-use education.In particular, KISTI, as a research institute, conducts research in various fields, including bio, weather, traffic, disaster and so on. And it has various research data in science and technology field. The purpose of this study can provide direction forthe establishment of new curriculum using data that can represent KISTI's strengths and identity. One of the conclusions of this paper would be KISTI's greatest advantages if it could be used in education to analyze and visualize many research data. Finally, through this study, it can expect that KISTI will be able to present a new direction for designing data curricula with quality education that can fulfill its role and responsibilities and highlight its strengths.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.509-514
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• 2021

The pandemic of COVID-19 is driving the demand for non-face-to-face diagnosis, observation, and treatment in the healthcare environment, which has led to increased interest in helathcare robots. The authors intend to predict the direction in which the quarantine healthcare robots should be utilized in the post-corona era through analysis of national agency reports, on-offline press reports, and domestic and foreign robot company press releases. The COVID-19 pandemic has raised interest in medical robots. And there is a need to apply healthcare robots that can perform tasks such as disinfection, logistics transfer, screening tests, monitoring of patients, remote medical treatment support for isolated patients, and video calls with family members. Therefore, it is considered that future correct development and application of healthcare robots and empirical research to verify them should be continued based on sufficient consideration for various problems associated with the practical application of robots.

• (The) Korean Journal of Advertising
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• v.28 no.6
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• pp.7-34
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• 2017

The debate surrounding advertising effectiveness is not to be overstated as a major source of advertising research. However, there is still a lack of discussion on the model for measuring the effects of government and public service advertising. This study focuses on this point and develops an index model that can evaluate government advertising. For this purpose, we conducted a survey of 800 respondents in 7 major cities. Based on the creativity evaluation factors (originality, clarity, and appropriateness) of government advertising and the evaluation factors (interest, avoidance, and relevance) of policy contents, a causal model that affects the cognition, attitude, and behavioral responses of the audience was set up. As a result of analysis, originality, clarity, interest, and relevance except for appropriateness and avoidance were meaningful variables for creating government advertising effect such as policy understanding, audience attitude, word of mouth intention of policy. In addition, policy understanding and audience attitude were the main mediating variable influencing the word of mouth intention of policy. Based on research results, this paper discussed the direction for creating effective government and public service advertising in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.221-235
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• 2010

Internet service providers provide various security services, such as firewall, intrusion detection, intrusion prevention, anti-virus, along with their main Internet services. Those security service users have no idea what kind of quality services they are guaranteed. And therefore, Internet users interest in Security Service Level Agreement(SLA) increases as their interest in secure Internet service increases. However, there wasn't any researches in the S-SLA area domestically and there are only limited SLA indexes related to system or service maintenances at the moment. Therefore, this paper analyses security functions in IPS services and categorize them into common and independent security functions. Finally to improve quality of security services, this paper proposes S-SLA indexes depending on the different security levels. This will be subdivide into agreement on security service.