• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.195-201
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• 2022

The core of the Fourth Industrial revolution, the topic of the 21st century, lies in the convergence of various technologies that are developing to the cutting edge. Therefore, convergence education is essential to solve problems from various perspectives. Above all, in order to solve the complex problem arising from the contact point between humans and technology in the future society, it was considered that insight through a humanities and artistic approach was necessary. Now, universities are trying to run a multidisciplinary comprehensive design to adapt to the new digital environment. In this study, an operation case of an engineering comprehensive design subject incorporating art operated by a researcher was described. The researcher presented an art convergence curriculum in a comprehensive design subject by applying 1. problem recognition and definition, 2. idea derivation and evaluation, 3. project development, 4. presentation, and demonstration process operation methods. Through this study, it is meaningful that it presented a method of operating art convergence in engineering comprehensive design subjects by allowing students to attempt an artistic aesthetic and emotional approach to project development.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.7-15
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• 2022

Recently, due to the development of AI and big data technologies following the advent of the era of the 4th Industrial Revolution, the emerging metaverse industry is emerging as a new business, and in particular, from this point of view, this paper analyzes the history of metaverse and the pros and cons of "Geppetto", which is the most popular in the Korean metaverse market, and aims to give an appropriate direction for future development based on this. In order to carry out this study, we first used SWOT analysis techniques as an initial enterprise analysis method to examine the strengths and weaknesses, opportunities and threat requirements, and derive the status of each factor. Based on the factors in each of the subsequent derivatives, we wanted to explore the TOWS development strategy and present significant implications based on this.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.27-35
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• 2022

This study aims to provide an industry-university cooperation cap in a non-face-to-face environment so that sharing and cooperation between universities can be shared based on the advanced digital technology between various universities at a time when it is rapidly changing to an online mode. It is in developing the stone design course. To this end, we analyzed the literature and previous studies on non-face-to-face environments and capstone design, developed a model for industrial-educational collaboration-type capstone design subjects in non-face-to-face environments, and suggested an application plan. The wearable capstone design program was pilot-applied, and the effectiveness was confirmed and corrected through the students' interview and questionnaire. This can be used as an industrial-educational cooperation engineering class capstone design class plan, providing basic data for development and operation, and as a step-by-step operation guide in a non-face-to-face environment.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.55-59
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• 2022

Recently, IoT technology has great attention and plays a key role in 4^th industrial revolution in order to design customized products and services. Additive Manufacturing (AM) is applied to fabricate IoT sensor directly or IoT sensor embedded structure. Also, design methods for AM are developing to consolidate various parts of IoT devices. Part consolidation leads to assembly time and cost reduction, reliability improvement, and lightweight. Therefore, a design method was proposed to guide designers to consolidate parts. The design method helps designers to define product architecture that consists of functions and function-part relations. The product architecture is converted to a network graph and then Girvan Newman algorithm is applied to cluster the graph network. Parts in clusters are candidates for part consolidation. To demonstrate the usefulness of the proposed design method, a case study was performed with e-bike fabricated by additive manufacturing.

• Journal of Advanced Navigation Technology
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• v.26 no.4
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• pp.205-210
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• 2022

Drones, which have rapidly grown along with the 4th industrial revolution, spread over industries and also widely used for military purposes. In recent wars in Europe, drones are being evaluated as a game changer on the battlefield, and their importance for military use is being highlighted. The Republic of Korea Army also planned drone-bot systems including various drones suitable for echelons and missions of the military as future defense forces. The keyword of these drone-bot systems is autonomy by artificial intelligence. In addition, common use of operating platforms is required for the rapid development of various types of drones. In this paper, we propose software framework that applies diverse artificial intelligence technologies such as multi-agent system, cognitive architecture and knowledge-based context reasoning for mission autonomy and common use of military drones.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.73-85
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• 2022

In the era of the 4th industrial revolution, where automation and connectivity are maximized with artificial intelligence, the importance of data collection and utilization for model update is increasing. In order to create a model using artificial intelligence technology, it is usually necessary to gather data in one place so that it can be updated, but this can infringe users' privacy. In this paper, we introduce federated learning, a distributed machine learning method that can update models in cooperation without directly sharing distributed stored data, and introduce a study to optimize distributed consensus among participants without an existing server. In addition, we propose a pattern and group-based distributed consensus optimization algorithm that uses an algorithm for generating patterns and groups based on the Kirkman Triple System, and performs parallel updates and communication. This algorithm guarantees more privacy than the existing distributed consensus optimization algorithm and reduces the communication time until the model converges.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.159-180
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• 2022

Recently, services using metaverse in various fields are increasing, the technology is behind the metaverse is rapidly developing. Consequently, it is necessary to provide metaverse services in university libraries. Therefore, this study examined the status of using metaverse in domestic university libraries and the librarians response to it. To this end, the cases of foreign libraries and domestic university libraries were analyzed. Furthermore, an interview was conducted with nine librarians of the university library, who has running metaverse service, to collect data on the current status of the university library metaverse and perceptions of it to identify difficulties and requirements of running the service. Based on the results, it is proposing to get the differentiation of metaverse service, acquire professionals, activate education, expand the browsing feature, and select proper platforms as a way to vitalize the metaverse of domestic university libraries. It is expected that this study will help to running or planning the metaverse service of the university library.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.127-140
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• 2022

With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1039-1046
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• 2022

After the COVID-19 pandemic, the spread of the untact culture and the Fourth Industrial Revolution, which generates various types of data, generated so much data that it was not compared to before. This led to higher data throughput, revealing little by little the limitations of the existing network system centered on vendors and hardware. Recently, SDN technology centered on users and software that can overcome these limitations is attracting attention. In addition, SDN-based load balancing techniques are expected to increase efficiency in the load balancing area of the server cluster in the data center, which generates and processes vast and diverse data. Unlike existing SDN load distribution studies, this paper proposes a load distribution technique in which a controller checks the state of a server according to the occurrence of an event rather than periodic confirmation through a monitoring technique and allocates a user's request by weighting it according to a load ratio. As a result of the desired experiment, the proposed technique showed a better equal load balancing effect than the comparison technique, so it is expected to be more effective in a server cluster in a large and packet-flowing data center.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.83-88
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• 2022

As the number of students participating in nail art with great interest rises, it has become crucial to form instructor-student ties through offline interactions and establish relationships with education through media under the Fourth Industrial Revolution. Therefore, it would be very important to check the quality of online and offline services and examine customer satisfaction. For this, this study investigated current online and offline nail art education, service quality and satisfaction with the education. A questionnaire survey was performed a total of 319 men and women in their 10-50s or older from Daejeon, Sejong, Chungnam, Chungbuk and other regions. The collected data were analyzed, using SPSS 27.0, and the results found the followings. The above results confirm that perception of online and offline nail art education is correlated with service quality and satisfaction. However, there are limitations in generalizing the results due to a difficulty in accurate measurement. It is anticipated that if a subject area is expanded, and teachers' satisfaction is added for comparison and analysis, there would be better results.