• KIPS Transactions on Computer and Communication Systems
• /
• v.9 no.12
• /
• pp.291-306
• /
• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.232-243
• /
• 2021

This study analyzed how K-MOOC was used and identify the academic achievements in higher education. The participants who completed the survey questionnaire were composed of 379 students who were in curriculum-related extra-curriculum using K-MOOC. Results show that the participation rate in individual learning activities was high, thus indicating the activities were perceived positively. In addition, students perceived positively their academic achievements of receiving, valuing, and responding in affective area, as well as synthesis and evaluation of knowledge in cognitive area. Students were also satisfied that they had no psychological burden to the credit of the course and they could take a course from another college. By contrast, platform instability, too much online content, and tedious activities in the lessons were perceived negatively. Nonetheless, the group assessment results suggested that the students taking a course related to their major had further engagement in discussions, and their academic achievement was higher. Based on the foregoing findings, the study proposed developing a subject matter with various theme, utilization plans, interaction reinforcement, and quality management by supporting instructional design strategies in order to expand the use of K-MOOC both as a general education and a major curriculum. The results obtained in this study represent baseline data that may assist in the decision making for university system and operation plan.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.3
• /
• pp.745-753
• /
• 2021

Recently, a large fire occurred in a multi-use facility used by a large number of citizens, including the vulnerable, resulting in a lot of injuries and damages. Although several pilot studies have been conducted to reduce such incidents, the development of advanced disaster response technology using the latest spatial information and IoT technology is still insufficient. In this study, a pilot test bed is built to demonstrate detailed technologies derived through the first stage of realistic fire management technology research for the development of applied technology in the field. In detail, the building conditions and candidate sites of the test bed were first investigated and analyzed to derive satisfactory conditions and candidate target buildings. A second pilot test bed was then selected, and the necessary sensor and facility infrastructure were built to demonstrate the outcomes. Finally, a scenario was produced for technology verification, and a test bed system was developed. The pilot test bed is expected to contribute to verifying intermediate outcomes of realistic fire management research projects, enhancing the quality of the developed technologies.

• Journal of the Korean Society of Earth Science Education
• /
• v.14 no.1
• /
• pp.33-47
• /
• 2021

This study developed a big data-based STEAM (Science, Technology, Engineering, Art & Mathematics) program using WWT (World Wide Telescope), focusing on content elements of 'solar system', 'star and universe' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to one middle school 176 students simple random sampled. The results of this study are as follows. First, we developed a program to encourage students to actively and voluntarily participating, utilizing the astronomical data platform WWT. Second, in the paired t-test based on the difference between the pre- and post-scores of the creative problem solving measurement test, significant statistical test results were shown in 'idea adaptation', 'imaging', 'analogy', 'idea production' and 'elaboration' sub-factors except 'attention task' sub-factor (p < .05). Third, in the paired t-test based on the difference between the pre- and post-scores of the STEAM attitude test, significant statistical test results were shown in 'interest', 'communication', 'self-concept', 'self-efficacy' and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p < .05). Fourth, in the STEAM satisfaction test conducted after class application, the average values of sub-factors were 3.16~3.90. The results indicated that students' understanding and interest in the science subject improved significantly through the big data-based STEAM program using the WWT.

• Korean small business review
• /
• v.42 no.1
• /
• pp.107-133
• /
• 2020

Many researchers conducted studies on the relationship between entrepreneur's characteristic, capability, strategy and performance of new venture. However, the development of scientific technique and the complexity of the business environment have stimulated entrepreneurial teams rather than individuals. Therefore, the necessity of theoretical and practical study on the effect of the characteristics of an entrepreneurial team on the new venture companies was suggested. Initial research on entrepreneurial team diversity has primarily addressed the impact of demographic diversity on performance. In order to verify the research model of this study, 287 delegates of new venture companies that participated in the projects at the 18 Centers for Creative Economy & Innovation in 17 regions of the country conducted validity and reliability test based on the questionnaire to which they answered. The result shows that only gender diversity among demographic diversity affected non-financial performance. Information diversity influenced career diversity on financial performance and diversity in education on non-financial performance. Also, the higher the previous sharing experience, the better the financial performance. Value diversity has negative effect on both financial and non-financial performance. Based on the results, theoretical and practical implications are derived. Also suggested are methodological limitations and future research directions.

• 지역과문화
• /
• v.7 no.2
• /
• pp.1-29
• /
• 2020

The purpose of this study is to have an opportunity to enhance the role of cultural intermediaries in the region as interest in the cultural media sector increased with the implementation of the Law for Promotion of Regional Culture. First, I discussed the need to pay attention to the local Cultural Intermediaries group as the background of the discussion, confirming that the existing research on the cultural mediation sector was focused on cultural workers in public institutions and government projects. Next, for the theoretical discussion, I reviewed the role of cultural intermediaries contributing to the production of meaning via the concept of cultural intermediaries by Pierre Bourdieu, and described that the mediation of regions and cultures began to emerge as an alternative to the existing centralized structure of cultural production in the context of Korea after the late 1990s. It was found that practices that mediate the region and culture were developed around the group of public artists and cultural activists and the intermediary group played a role in revealing various aspects of the region and dynamically constructing the local public sphere through these cultural practices. Lastly, local curator's cases (Space Beam, Space Imsi, Incheon Spectacle) were studied. The actual cases of activity were analyzed through the cultural practices by focusing on what alternative meanings had been produced in the region and how the region was represented. Each case showed the mediating activity that attempts to change the environment of life while sharing local issues with communities, projects that reconstructs the local professional art sector into a public sphere, and mediating activity that represents local daily culture and form networks through independent publications.

• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.485-498
• /
• 2021

This study confirmed the perceptions of performing arts field workers and related experts under the theme of non-face-to-face performing arts. As a result of the analysis, first, respondents agreed with the practical need for non-face-to-face performing arts, but respondents in the field viewed the lack of "fieldability" and "communication with the audience" of non-face-to-face performances as a problem. Second, respondents who participated in non-face-to-face performance production had negative perceptions of realism, immersion, interaction with the audience, lack of enjoyment outside the performance, and difficulties in securing budgets, filming and editing, and actors' acting commitment. Third, regarding the government's non-face-to-face performing arts-related support policy, they complained that support was only given to specific organizations and a small number of people, and administrative difficulties in support. Through this study, it can be suggested that face-to-face and non-face-to-face performance arts should be treated in a complementary and balanced relationship in terms of government policy.

• Journal of Industrial Convergence
• /
• v.20 no.5
• /
• pp.29-38
• /
• 2022

Because of the need of actual performance of education, this study aims to understand how the factors of educational content and organizational characteristics affect organizational commitment and work performance, which are organizational effects, through learning transfer. As a result, task value, job relevance, and organizational compensation had a significant effect on learning transfer, learning transfer had a significant effect on organizational commitment and work performance, and organizational commitment had a significant effect on work performance. In order to increase the learning transfer of education, when specifying the connection with the actual job and strengthening the compensation system of the members, the learning transfer can be increased and eventually connected to performance. Since limited variables are considered, a more representative sample or professional group should be extracted through future research. In future studies, it will be possible to closely grasp the relationship between learning transfer and organizational effectiveness by setting representative samples and specifying variables.

• Journal of Service Research and Studies
• /
• v.13 no.3
• /
• pp.57-69
• /
• 2023

Early morning delivery possesses distinct characteristics that differentiate it from standard delivery services. This service typically involves delivering products to customers during the early morning hours, primarily before 7 AM. While online early morning delivery offers various advantages from a customer perspective, it also presents challenges that sellers and online shopping companies need to overcome. The early morning delivery market is experiencing significant growth in the online food retail sector, incorporating both PC-based online shopping and mobile shopping. The objective of this research is to identify the factors influencing customer satisfaction and the intention to reuse in the context of early morning delivery for online shopping. To model the online shopping environment with early morning delivery, independent factors were categorized into three types: System Properties, Product Characteristics, and Delivery Characteristics. This study examined the relationships among these three independent factors, the mediating factor of customer satisfaction, and the dependent variable of the intention to reuse. To conduct this research, empirical validation of the research hypotheses was carried out using the final dataset for analysis. Within this study, the previously explored System Properties, Product Characteristics, and Delivery Characteristics were established. Summarizing the findings of the analysis, it was discovered that System Properties and Product Characteristics played a significant role in determining the quality of early morning delivery services for online shopping. While product diversity and convenience had a positive impact, it is noteworthy that Delivery Characteristics did not influence customer satisfaction. Consequently, it can be concluded that there is no effect on the intention to reuse.

• Journal of Korean Home Economics Education Association
• /
• v.34 no.4
• /
• pp.93-111
• /
• 2022

This study started with the question of 'What innovative task should elementary and secondary school clothing life education perform in accordance with the changes in the future educational environment?' It is time to prepare for a major shift in the educational paradigm that improves the quality of life for all everyone, based on social innovations such as the 4th industrial revolution and the transition to the post-corona era. This study examined the literature for the characteristics of changes in the future educational environment from an educational perspective, and examined the curriculum focusing on the clothing life with the porpose of presenting the direction for the clothing life education. In order to carry out this study, various literature including previous studies related to clothing life education and the national curriculum from the first curriculum to the 2015 revision were analyzed. In conclusion, the direction of the clothing life education curriculum according to the changes in the future educational environment is proposed as follows: First, nurturing convergence education experts that can combine human emotion, environment, and clothing life culture to artificial intelligence(AI); second, developing a clothing life education curriculum that links software competency and practical problem-solving competency; and lastly, implementing fashion maker education using artificial intelligence(AI) and value-oriented clothing life education. In the future, it is expected that the direction of teaching/learning methods and evaluation in clothing life education curriculum is proposed, and that this educational discussion process will help establish the identity of clothing life education in school education.