• Korean Journal of Childcare and Education
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• v.18 no.6
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• pp.1-19
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• 2022

Objective: The purpose of this study is to confirm the structural relationship among maternal parenting stress, neglectful mediation of smart media and the over use of smart media in preschool children. Methods: Quantitative surveys were conducted to measure maternal parenting stress, smart media neglect mediation, and over use of smart media in preschool children. In addition, the mediating effect of maternal neglectful smart media mediation in maternal parenting stress and preschool children's over use of smart media was verified using the Amos 23.0 and SPSS 26.0 programs Results: Maternal parenting stress and mother's neglectful mediation of smart media had a direct effect on preschool children's over use of smart media. In addition, mother's neglectful mediation of smart media mediated the influence of the mother's parenting stress on preschooler children's over use of smart media. Conclusion/Implications: These findings emphasize the important role of maternal stress in preschool children's over use of smart media. And maternal competence such as supervision and limit setting is an important role in preschool children's use of smart media, so it is necessary to develop a practical and diverse parenting education program in order to reduce.

• Smart Media Journal
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• v.12 no.3
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• pp.68-76
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• 2023

Emerging mobile edge computing (MEC) can be used in battery-constrained Internet of things (IoT). The execution latency of IoT applications can be improved by offloading computation-intensive tasks to an MEC server. Recently, the popularity of unmanned aerial vehicles (UAVs) has increased rapidly, and UAV-based MEC systems are receiving considerable attention. In this paper, we propose a dynamic computation offloading paradigm for UAV-based MEC systems, in which a UAV flies over an urban environment and provides edge services to IoT devices on the ground. Since most IoT devices are energy-constrained, we formulate our problem as a Markov decision process considering the energy level of the battery of each IoT device. We also use model-free Q-learning for time-critical tasks to maximize the system utility. According to our performance study, the proposed scheme can achieve desirable convergence properties and make intelligent offloading decisions.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.72-83
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• 2021

The use of the predictive analytics (PA) powered by the artificial intelligence (AI) is more important in the movie sector during the COVID-19 pandemic, because Hollywood witnessed the impact of the 'Netflix Effect' and began to invest in data and AI. Our purpose is to discover a few cases of the AI centered PA in the movie industry value chain based on five objectives of PA: Compete, grow, enforce, improve, and satisfy. Even if movie companies' interest is to predict future success for competing with over-the-tops (OTTs) at a first glance, it is observed, once they start to use the PA with the AI, they try to utilize the enhanced PA platforms for remaining four objectives. As a result, ScriptBook, Vault, Pilot, Cinelytic and Merlin Video (Merlin) are use cases for the objective 'compete.' Movio of Vista Group International and Datorama of Salesforce are use cases for the objective 'grow.' Industrial Light & Magic (ILM) and Geena Davis Institute on Gender in Media (GDI) with Disney are use cases for the objective 'enforce.' Watson, Benjamin, and Greenlight Essential are use cases for the objective 'improve.' Disney Research (DR) with Simon Fraser University and California Institute of Technology is the use case for the objective 'satisfy.'

• Smart Media Journal
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• v.11 no.8
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• pp.37-46
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• 2022

In the design process of modern architecture, diagrams are most commonly used as tools of explanation and creation. Many architects use diagrams in the process of explaining or creating their own works, and the concept of programs and diagrams expressing them are accepted by audiences as part of creative work in the process of actual architectural design beyond the role of a medium. Therefore, the purpose of this study is to analyze the various uses of architects through diagrams in the construction process and the operation process of diagrams applied in the design process by defining diagrams by era as a tool to show the process of building space over the past 30 years.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.273-277
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• 2021

As society gradually enters a virtual, non-face-to-face society, the use of online content is increasing as well. In particular, as smartphones are thoroughly established in our daily life, the platforms of webtoons, mobile broadcasting, and education are shifting from personal computers to smartphones. Recently, the development of the Over-The-Top media service (OTT service) enabled streaming services of various media contents through the internet and activation of IPTV. Therefore, the rapid increase of popularity of short-form content is a natural phenomenon with smartphone platforms with fast, improvised, and endless communication. Lately, TikTok became the favored platform with prosumers, defined as people who are both producers and consumers. In this study, I studied the experiential response of YouTube and TikTok users as representative examples of a short-form content platform developed after the 2000s, the flourishing years of digital content with a length of 30 seconds.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.41-53
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• 2019

As the paradigm of healthcare shifts from the center of treatment to the center of prevention, products and services related to disease prevention are emerging at domestic and abroad. The government considers the smart healthcare industry as a solution to healthcare problems such as an increase in the number of chronic illnesses and an increase in the burden of medical expenses. The purpose of this study is to explore the factors affecting the use of smart healthcare products and services focusing on Health Literacy and health related personal characteristics and to provide policy implications. The subjects of the questionnaire are 1,027 adults over 20 in the nation, and conducted an online survey. In addition, the factors were analyzed by decision tree method. As a result, most of the respondents(76.9%) did not have experience using Smart Healthcare products and services. However, in the Health Literacy question, there was a difference in use experience depending on the degree of difficulty in using the mass media information. Other factors were the degree of intention to use new technology, the understanding of counseling about family members and friends, and health checkups. In order to enable self-healthcare through smart healthcare products and services, the ability of consumers to explore and utilize health information from the mass media should be improved. In addition, government and enterprise efforts are needed to achieve this.

• Korean journal of communication and information
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• v.60
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• pp.172-192
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• 2012

Over the last ten years, media convergence and multiple platform expansion have affected the ways that people watch conventional television. In the post-TV era, the growing use of the Internet and mobile multi-media devices, such as smart phones, as well as the availability of abundant television content, allows television consumption to be more personalized, diversified, and linked with various media activities, especially social media uses. This study attempts to examine how television viewing experiences have been transformed with the development of the trans-media uses. Based on Walter J. Ong's concept of relation-ism, which posits that new media transform the meanings and relevance of old media rather than making old media obsolete, this study will pay particular attention to how the cultural meanings of television viewing have been redefined in the post-TV era. For the examination, this study has looked at concrete cases of the television viewing experiences of 29 young people in their twenties. Based on in-depth interview data, this study discusses the newly emerging characteristics of television viewing, its temporal and spatial experiences, and the significance of television as a medium and as a social place.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.327-331
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• 2023

This paper proposes a tourist destination recommendation application that combines a chatbot and a recommendation system. The data to be entered into the chatbot was through big data on social media. Through TEXTOM, a total of 22,701 data were collected over a one-year period from January 2022 to January 2023. Non-terms that interfere with analysis were removed through the data purification process. Using refined data, network visualization and CONCOR analysis were used to identify the information users want to obtain about travel to Jeju Island, and categories for each cluster were organized. The content was intuitively organized so that even those who approached it for the first time could easily use it, reducing the difficulty of operating the application. In this paper, users can select their own preferences and receive information. In addition, a tool called a chatbot allows users to focus more on the process of acquiring information by gaining a sense of reality while operating the application. This suggests an application that can reach the purpose of the curator by affecting the user's desire to visit tourist attractions.

• The Journal of Korean Society for School & Community Health Education
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• v.17 no.2
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• pp.71-81
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• 2016

Objectives: The objective and aim of this research is to cultivate a problem-solving ability by analysing the factors that negatively impact on filming sexual behaviour by adolescent. Methods: This research mainly refer to the secondary reference which is conducted a survey of all over the country by National Youth Policy Institute. 3,963 students on the register who participated in survey between 12th of June in 2014 and 15th of July in 2014 was nominated as final recipient for research. Results: Firstly, it has been shown that students who have watched sexual video have more experienced at filming sexual behaviour. In the area of stimulation(p<0.01) and emulation/sharing(p<0.001) except to violation of human rights, adolescent who has experienced at filming sexual behaviour significantly gains more high score than adolescent who does not have experienced statistically. Secondly, as a result of analysis the factors which negatively impact on filming sexual behaviour by adolescent with Binary logistic regression analysis, the adolescent who have shared sexual video was impacted on having an experience at filming sexual behaviour. and the adolescent who had sexual conversation was impacted on having an experience at filming sexual behaviour. Conclusion: A local autonomous entity and school should enforce systematic health education and practical management of mass media rather than unconditional restriction of adolescent's use of smart phone. To carry out this, the state and a local autonomous entity should urge plan for support for settling the instructive environment about using smart phone.

• Smart Media Journal
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• v.11 no.1
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• pp.38-45
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• 2022

A lot of research is being going until this day in order to obtain stable profit in the stock market. Trading algorithms are widely used, accounting for over 80% of the trading volume of the US stock market. Despite a lot of research, there is no trading algorithm that always shows good performance. In other words, there is no guarantee that an algorithm that performed well in the past will perform well in the future. The reason is that there are many factors that affect the stock price and there are uncertainties about the future. Therefore, in this paper, we propose a model using TimeGAN that predicts future returns well and selects algorithms that are expected to have high returns based on past records of the returns of algorithms. We use TimeGAN becasue it is probabilistic, whereas LSTM method predicts future time series data is deterministic. The advantage of TimeGAN probabilistic prediction is that it can reflect uncertainty about the future. As an experimental result, the method proposed in this paper achieves a high return with little volatility and shows superior results compared to many comparison algorithms.