• Communications of Mathematical Education
• /
• v.32 no.3
• /
• pp.245-255
• /
• 2018

In this paper, we discuss efforts that has been made by mathematics departments in Korea to meet the need of the 4th industrial revolution era. First of all, we introduce various industrial mathematics programs that some universities in Korea started to provide in order to nurture math/math education graduate to be prepared for the demand of the society. We also introduced a mathematics for Big Data course that we did offer recently which can be shared.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.5
• /
• pp.1798-1813
• /
• 2021

This paper proposes a positive experience design approach for Internet of Things (IoT) intelligent products to improve users' subjective well-being in the fields of artificial intelligence and big data. First, the authors selected six target users and taking the Xiaomi IoT intelligent products for the research objects and conducted a thorough observation on how the target users used IoT intelligent products in their own homes over two weeks via a home-visiting interview, group diary, and focus group. Second, they constructed an individual activities table for the participants' IoT intelligent product experience using a hierarchical task analysis (HTA). Third, two researchers sorted out the sub-tasks of happiness in the HTA table. Finally, the authors found the positive experience design approach of IoT intelligent products. The positive experience design approach of IoT intelligent products is proposed from focusing on the personal pleasure experience to individual life meaningful design and group social relationship design, including individual pleasure experience, personal goal realization, group needs satisfaction and the harmony of group relations. The paper uses the two design examples of an interactive kettle and a harmonious chair to further discuss the feasibility of the design approach. In the era of big data, it is helpful for designers to use this design approach to improve the users' sense of sustainable pleasure, achievement perception of their future goal realization, and the well-being of the group's social relationships.

• Journal of Digital Convergence
• /
• v.12 no.2
• /
• pp.1-10
• /
• 2014

Recently, the value and the status of the digital archives that are built individually in the crossroads of oblivion and memory are due to big data has attracted attention globally is confusing. Video data that contains the cultural memory of the digital archive, such as culture, art, life, society, and social conditions of the time, it is a cultural heritage of national common expressed. Also, it remains a trace of history from the various media just like magazines, books, painting, photography, and film. Digital archive system is one of the best research results of media convergence and it has also a good opportunity to take full advantage of the new opportunities and cultural assets. The collection of infinite information of big data in perspective transient that exist at the same time compatibility of big data, it is trying to dismantle the cultural memory of us. It was asserted that must meet the criteria which can correspond to via the new digital era, will be applied to preserve the traditional media. The current image archive is necessary to accommodate proper two different directions.

• The Bulletin of The Korean Astronomical Society
• /
• v.40 no.2
• /
• pp.60.1-60.1
• /
• 2015

We present the current operation status of StarDB web services by showing its user access statistics. The StarDB web services started its operation in late November, allowing world-wide users to access results of new variability analysis for Northern Sky Variability Survey light curves. New analysis results of various time-series data have been added to the StarDB services. Importantly, our services have supported a simple cone search, which is an internationally well-defined catalog search interface in the international Virtual Observatory systems. We have collected user access statistics such as how users find our analysis data since its operation in later November. We expect our analysis of the StarDB operation to help Korean community members who plan and operate their own web services preparing for a future era of big survey data.

• Asian Journal of Innovation and Policy
• /
• v.6 no.3
• /
• pp.262-273
• /
• 2017

Recently, the attention to the $4^{th}$ Industrial Revolution has been increasing. In the $4^{th}$ Industrial Revolution era, the boundaries between physical space, digital space, and biological space are becoming blurred because of the active convergence between various fields. There are many issues about the $4^{th}$ Industrial Revolution such as artificial intelligence, Internet of things, big data, and cyber physical system. To cope with the $4^{th}$ Industrial Revolution, an accurate analysis and technology planning need to be undertaken from a broad point of view. However, there is little research on the analysis of the major issues about the 4th Industrial Revolution. Accordingly, this study aims to analyse these major issues. Data mining such as topic modelling method is used for this analysis. This study is expected to be helpful for the researcher and policy maker of the 4th Industrial Revolution.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.11a
• /
• pp.1321-1321
• /
• 2017

Recently the attention to the 4th industrial revolution has been increasing. In the 4th industrial revolution era, the boundaries of physical space, digital space, and biological space are becoming blurred since the active convergence between various fields There are a lot of issues on the 4th industrial revolution such as artificial intelligence, internet of thing, big data, and cyber physical system. Accordingly, this study aims to analyse the main issues of the 4th industrial revolution. Data mining such as topic modelling method is used for the analysis. This study is expected to be helpful for the researcher and policy maker of the 4th industrial revolution.

• Vacuum Magazine
• /
• v.1 no.3
• /
• pp.4-8
• /
• 2014

Since the modern computer architecture was suggested by Von Neumann in 1945, computer has become inevitable for our life. This brilliant growth of computer has been led by device miniaturization trend, so called Moore's law. Especially, the explosive growth of memory devices such as DRAM and Flash have played key role in huge enlarging utilization of computer. However, abrupt increase of data used for many applications in big data era provoke the excessive energy consumption of data center which results from the inefficiency of conventional memory-storage hierarchy. As a solution, the application of new memory devices has been brought up for innovative memory-storage hierarchy. In this paper, the current development status and prospect of new memory devices will be discussed.

• Journal of The Korean Association of Information Education
• /
• v.26 no.6
• /
• pp.481-490
• /
• 2022

With the development of computing technology, the big data era has arrived, and we live with a lot of data around us. Elementary school students are no exception. Therefore, it is very important to learn to process data from elementary school. Since elementary school students have intuitive thinking, data visualization, which expresses data directly in pictures, is an important learning element. In this study, we study how effective elementary school students can visualize data in their daily lives to improve their information processing capabilities. Adata visualization program was developed by organizing and visualizing data using data visualization tools for the 8th class, which can be done by third graders in elementary school, and then experiencing the process of interaction. As a result of applying the developed program to 186 students in 7 classes, knowledge information processing competency factors were evaluated before and after class. As a result of the pre- and post-test, there was a significant difference in knowledge information processing capabilities. Therefore, the data visualization program developed in this study is effective.

• The Journal of the Korea Contents Association
• /
• v.17 no.7
• /
• pp.443-454
• /
• 2017

A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.

• Journal of Service Research and Studies
• /
• v.8 no.1
• /
• pp.73-87
• /
• 2018

Countries around the world are preparing policies to promote service economy. Recently, as the fourth industrial revolution is accelerating, interest in the service industry is increasing. Korea's service industry is among the lowest among OECD countries in terms of employment, value-added and productivity, and it is time to explore new development strategies. The Korean government is establishing a service economic development strategy to promote employment and economic vitality. However, in the era of the 4th industrial revolution, the service industry is very important in that it has to be fused with the manufacturing industry. This study examines the service industry policy related to the 4th industrial revolution which the central government, local governments, and countries around the world are pursuing through literature review. The Big data analysis is used to determine the interest rate of the seven major service industries and core technologies for the fourth generation industrial revolution.