• Journal of the Korean Institute of Landscape Architecture
• /
• v.47 no.2
• /
• pp.59-75
• /
• 2019

This study was carried out to explore the 4th Industrial Revolution technology from the perspective of the landscape industry to provide the basic data necessary to increase the virtuous circle value. The 4th Industrial Revolution, the characteristics of the landscape industry and urban regeneration were considered and the methodology was established and studied including the technical classification system suitable for systematic research, which was selected as a framework. First, the 4th Industrial Revolution technology based on digital data was selected, which could be utilized to increase the value of the virtuous circle for the landscape industry. From 'Element Technology Level', and 'Core Technology' such as the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Robot, 'Peripheral Technology', Virtual or Augmented Reality, Drones, 3D 4D Printing, and 3D Scanning were highlighted as the 4th Industrial Revolution technology. It has been shown that it is possible to increase the value of the virtuous circle when applied at the 'Trend Level', in particular to the landscape industry. The 'System Level' was analyzed as a general-purpose technology, and based on the platform, the level of element technology(computers, and smart devices) was systematically interconnected, and illuminated with the 4th Industrial Revolution technology based on digital data. The application of the 'Trend Level' specific to the landscape industry has been shown to be an effective technology for increasing the virtuous circle values. It is possible to realize all synergistic effects and implementation of the proposed method at the trend level applying the element technology level. Smart gardens, smart parks, etc. have been analyzed to the level they should pursue. It was judged that Smart City, Smart Home, Smart Farm, and Precision Agriculture, Smart Tourism, and Smart Health Care could be highly linked through the collaboration among technologies in adjacent areas at the Trend Level. Additionally, various utilization measures of related technology applied at the Trend Level were highlighted in the process of urban regeneration, public service space creation, maintenance, and public service. In other words, with the realization of ubiquitous computing, Hyper-Connectivity, Hyper-Reality, Hyper-Intelligence, and Hyper-Convergence were proposed, reflecting the basic characteristics of digital technology in the landscape industry can be achieved. It was analyzed that the landscaping industry was effectively accommodating and coordinating with the needs of new characters, education and consulting, as well as existing tasks, even when participating in urban regeneration projects. In particular, it has been shown that the overall landscapig area is effective in increasing the virtuous circle value when it systems the related technology at the trend level by linking maintenance with strategic bridgehead. This is because the industrial structure is effective in distributing data and information produced from various channels. Subsequent research, such as demonstrating the fusion of the 4th Industrial Revolution technology based on the use of digital data in creation, maintenance, and service of actual landscape space is necessary.

• Cartoon and Animation Studies
• /
• s.50
• /
• pp.423-452
• /
• 2018

The possibility of future industrialization of artificial intelligence was studied through aspects of artificial intelligence art and movie. The field of artificial intelligence is developing by imitating humans through past and present, so it can be inferred that it is important to grasp the future image presented in movie and artificial intelligence art. Human values are represented differently in artificial intelligence films and arts. Artificial intelligence film and art are concerned with the external and internal aspects of human values, respectively. The AI movie looks at similar external aspects in human and AI shape and function, but artificial intelligence art deals with human alienation and lack of communication due to artificial intelligence technology development. Artificial intelligence in movies is a direction to visualize the imagination for artificial intelligence technology, and artificial intelligence art is expressed in the way of making and implementing works using technology. The future of artificial intelligence, which we have shown in imagination in movies today, is being realized technologically. Artificial intelligence art reflects the problems of artificial intelligence technology that can be appeared through current technology, and human problems that may arise from artificial intelligence technology development. Movies and artificial intelligence art reflect the current problems, and through them we can see the future of artificial intelligence. The future of artificial intelligence in movies is an artificial intelligence service that provides human convenience, cyborg artificial intelligence industry, industry that uses exoskeleton robot and exoskeleton suit, and artificial intelligence secretary. If we look at the future of artificial intelligence through the artificial intelligence art in terms of the problems of artificial intelligence technology and the problem of human value, there are artificial intelligence to learn from trial and error or mistakes, self-expression and communication by lifelogging, recovery of miscommunications by a reflective thinking, and an expansion of the area of artificial intelligence artist through human uncertainty. The future industrialization potential of artificial intelligence as study through aspects of artificial intelligence art and movie is an industry that extends the five senses, an industry that improves the insufficient physical ability of the human, an industry that enhances the physical ability of the human being, and an industry that maintains psychological and mental well-being.

• Korean Journal of Child Education & Care
• /
• v.19 no.2
• /
• pp.177-196
• /
• 2019

Objective: This study aims to analyze research trends related to software education for young children, focusing on studies published in Korea from 2016 to 2019 March. Methods: A total of 26 research publications on software education for young children, searched from Korea Citation Index and Research Information Sharing Service were identified for the analysis. The trend in these publications was classified and examined respectively by publication dates, types of publications, and the fields of study. To investigate a means of research, the analysis included key topics, types of research methods, and characteristics of the study variables. Results: The results of the analysis show that the number of publications on the topic of software education for young children has increased over the three years, of which most were published as a scholarly journal article. Among the 26 research studies analyzed, 16 (61.5%) are related to the field of early childhood education or child studies. Key topics and target subjects of the most research include the curriculum development of software education for young children or the effectiveness of software education on 4- and 5-year-old children. Most of the analyzed studies are experimental research designs or in the form of literature reviews. The most frequently studied research variable is young children's cognitive characteristics. For the studies that employ educational programs, the use of a physical computing environment is prevalent, and the most frequently used robot as a programming tool is "Albert". The duration of the program implementation varies, ranging from 5 weeks to 48 weeks. In the analyzed research studies, computational thinking is conceptualized as a problem-solving skill that can be improved by software education, and assessed by individual instruments measuring sub-factors of computational thinking. Conclusion/Implications: The present study reveals that, although the number of research publications in software education for young children has increased, the overall sufficiency of the accumulated research data and a variety of research methods are still lacking. An increased interest in software education for young children and more research activities in this area are needed to develop and implement developmentally appropriate software education programs in early childhood settings.

• Journal of The Korean Association of Information Education
• /
• v.23 no.6
• /
• pp.607-619
• /
• 2019

As software education was introduced through the 2015 revised curriculum, various research activities have been carried out to improve the computational thinking of learners beyond the existing ICT literacy and software utilization education. With this change, the purpose of this study is to examine the research trends of various research activities related to computational thinking which is emphasized in software education. To this end, we extracted the key words from 190 papers related to computational thinking subject published from January 2014 to September 2019, and conducted frequency analysis, word cloud, connection centrality, and topic modeling analysis on the words. As a result of the topical modeling analysis, we found that the main studies so far have included studies on 'computational thinking education program', 'computational thinking education for pre-service teacher education', 'robot utilization education for computational thinking', 'assessment of computational thinking', and 'computational thinking connected education'. Through this research method, it was possible to grasp the research trend related to computational thinking that has been conducted mainly up to now, and it is possible to know which part of computational thinking education is more important to researchers.

• Journal of Convergence for Information Technology
• /
• v.7 no.6
• /
• pp.9-17
• /
• 2017

This study was conducted in 241 fire officers at fire stations in Daejeon Metropolitan City to determine their oral health care behavior status and obtained the following results: First, men were more likely to brush their teeth 3 times a day and women were more likely to brush their teeth 4 times a day; those who were in their twenties and had ${\leq}5$ years of career brushed their teeth for ${\geq}3$ minutes. Second, the respondents who were in their twenties and thirties and had <10 years of career were more likely to use auxiliary oral hygiene devices and fire captains and those at higher positions were more likely to have received oral health education. Third, the respondents having received oral health education were more likely to use auxiliary oral hygiene devices and to have their teeth scaling within a year. While the fire officers were fortunately at good levels of oral health care, taking the poor working environment into account, the efforts to develop job-customized oral health programs in which IT and robot technologies are combined to improve oral health and take measures to publicize the programs and to give better treatment to fire officers are expected to put them in better oral health care status.

• SUVANNABHUMI
• /
• v.10 no.2
• /
• pp.181-213
• /
• 2018

How to study Southeast Asia (SEA)? The need to explore and identify methodologies for studying SEA are inherent in its multifaceted subject matter. At a minimum, the region's rich cultural diversity inhibits both the articulation of decisive defining characteristics and the training of scholars who can write with confidence beyond their specialisms. Consequently, the challenges of understanding the region remain and a consensus regarding the most effective approaches to studying its history, identity and future seem quite unlikely. Furthermore, "Area Studies" more generally, has proved to be a less attractive frame of reference for burgeoning scholarly trends. This paper will propose a new tool to help address these challenges. Even though the science of artificial intelligence (AI) is in its infancy, it has already yielded new approaches to many commercial, scientific and humanistic questions. At this point, AI has been used to produce news, generate better smart phones, deliver more entertainment choices, analyze earthquakes and write fiction. The time has come to explore the possibility that AI can be put at the service of the study of SEA. The paper intends to lay out what would be required to develop SEABOT. This instrument might exist as a robot on the web which might be called upon to make the study of SEA both broader and more comprehensive. The discussion will explore the financial resources, ownership and timeline needed to make SEABOT go from an idea to a reality. SEABOT would draw upon artificial neural networks (ANNs) to mine the region's "Big Data", while synthesizing the information to form new and useful perspectives on SEA. Overcoming significant language issues, applying multidisciplinary methods and drawing upon new yields of information should produce new questions and ways to conceptualize SEA. SEABOT could lead to findings which might not otherwise be achieved. SEABOT's work might well produce outcomes which could open up solutions to immediate regional problems, provide ASEAN planners with new resources and make it possible to eventually define and capitalize on SEA's "soft power". That is, new findings should provide the basis for ASEAN diplomats and policy-makers to develop new modalities of cultural diplomacy and improved governance. Last, SEABOT might also open up avenues to tell the SEA story in new distinctive ways. SEABOT is seen as a heuristic device to explore the results which this instrument might yield. More important the discussion will also raise the possibility that an AI-driven perspective on SEA may prove to be even more problematic than it is beneficial.