• Journal of Digital Convergence
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• v.16 no.10
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• pp.205-212
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• 2018

With the development of high performance CPU / GPU, artificial intelligence algorithms such as deep neural networks, and a large amount of data, machine learning has been extended to various applications. In particular, a large amount of data collected from the Internet of Things, social network services, web pages, and public data is accelerating the use of machine learning. Learning data sets for machine learning exist in various formats according to application fields and data types, and thus it is difficult to effectively process data and apply them to machine learning. Therefore, this paper studied a method for building a learning data set for machine learning in accordance with standardized procedures. This paper first analyzes the requirement of learning data set according to problem types and data types. Based on the analysis, this paper presents the reference model to build learning data set for machine learning applications. This paper presents the target standardization organization and a standard development strategy for building learning data set.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.03a
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• pp.671-686
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• 2004

The shock-induced combustion ramjet (shcramjet) is a hypersonic airbreathing propulsion concept which over-comes the drawbacks of the long, massive combustors present in the scramjet by using a standing oblique detonation wave (a coupled shock-combustion front) as a means of nearly instantaneous heat addition. A novel shcramjet combustor design that makes use of wedge-shaped flameholders to avoid detonation wave-wall interactions is proposed and analyzed with computational fluid dynamics (CFD) simulations in this study. The laminar, two-dimensional Navier-Stokes equations coupled with a non-equilibrium hydrogen-air combustion model based on chemical kinetics are used to represent the physical system. The equations are solved with the WARP (window-allocatable resolver for propulsion) CFD code (see: Parent, B. and Sislian, J. P., “The Use of Domain Decomposition in Accelerating the Convergence of Quasihyperbolic Systems”, J. of Comp. Physics, Vol. 179, No. 1,2002, pages 140-169). The solver was validated with experimental results found in the literature. A series of steady-state numerical simulations was conducted using WARP and it was deter-mined by means of thrust potential calculations that this combustor design is a viable one for shcramjet propulsion: assuming a shcramjet flight Mach number of twelve at an altitude of 36,000 m, the geometrical dimensions used for the combustor give rise to an operational range for combustor inlet Mach numbers between six and eight. Different shcramjet flight Mach numbers would require different combustor dimensions and hence a variable geometry system in or-der to be viable.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.65-80
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• 2019

With the advent of the ICT-based 4th industrial revolution, the convergence of the manufacturing industry and ICT seems to be the new breakthrough for achieving the company's competitiveness and play a role on the key element for accelerating the revival of the manufacturing industry. When the smart factory is implemented, each plant can analyze the quantity of data collected, build the data-driven operation systems which can make decisions, and ultimately discover the correlation among many events in the manufacturing sites. As the customers' needs become diversified more and more, it is required for the company to change its operating method from large quantity batch production systems to customizable and flexible manufacturing systems. For performing this requirements, it is essential for the company to adopt the smart factory. Based on technology acceptance model (TAM), this study investigates the factors influencing continuous use intention and switching intention of the smart factory. To do so, a questionnaire survey is conducted both online and offline. 122 samples are used for the study analysis. The results of this study will provide many implications with many researchers and practitioners relevant smart factories.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.37-49
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• 2018

In this study, we conducted an exploratory study for designing service science as a degree program that will lead the 21st century. In the new era, the convergence of industries is accelerating and the mobility of the profession is greatly increased, so the talents to be trained in higher education will be greatly changed. We must cultivate human resources capable of creating their own jobs through competency development and cultivate talented individuals who can demonstrate creative initiative in the ecosystem where the boundaries between industries are dismantled. To this end, it is required to switch from the existing vertical majors and systems to horizontal majors, and service majors are expected to play a key role in this transition. In this study, we designed the service science degree program reflecting the changes of the new economy and reflecting the demand of the new education. The service science curriculum provides an analysis as it can award a degree as an independent major, or may serve as a sub-major or an associate major with existing majors. Service studies are expected to play the most effective role in cultivating the capabilities defined by the 21st century human resources in the World Economic Forum.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.73-79
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• 2021

As the importance of online virtual space grows due to Corona Pandemic, interest in virtual space utilization technology is increasing, causing a boom in the growth of the untact technology and related content industry, and accelerating the transition to Metaverse era, a new virtual convergence platform based on virtual and reality. This study analyzed ZEPETO, a Metaverse platform and found that it provides a creative space through Built-it and ZEPETO Studio, and offers items and contents with active economic activity. This is the result of an analysis centered on ZEPETO, so it varies depending on the Metaverse platform. We look to find key items to activate a Metaverse platform and how to make best use of virtual assets crated in Metaverse in reality through Metaverse related technologies.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.75-86
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• 2020

With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.668-673
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• 2021

As the fourth industrial revolution begins in earnest, related technologies are becoming a hot topic. Hardware development is accelerating to make the most of technologies such as high-speed wireless communication, and related companies are growing rapidly. Artificial intelligence often uses desktops in general for related research, but it is mainly used for the learning process of deep learning and often transplants the generated models into devices to be used by including them in programs, etc. However, it is difficult to produce results for devices that do not have sufficient power or performance due to excessive learning or lack of power due to the use of models built to the desktop's performance. In this paper, we analyze efficiency using boards with several Neural Process Units on sale before developing the performance of deep learning to match embedded boards, and deep learning accelerators that can increase deep learning performance with USB, and present a simple development direction possible using embedded boards.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.47-54
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• 2021

This study shows that consumers' attitudes and behaviors are rapidly changing due to the COVID-19 outbreak in a situation where consumption patterns are already changing due to demographic changes such as an increase in the number of single-person households and dual-income couples. To this end, the results of an online survey conducted on 500 panels of Nielsen Korea were used in this study. In particular, consumers were divided into two generation groups (Generation Z vs. Millennial) and analyzed and presented changes in consumption activities and food purchasing behaviors changed by COVID-19. As a result, the existing online distribution trend has been strengthened, and its impact has been amplified by COVID-19. These changes also resulted in different consumption behaviors depending on the degree of concern for COVID-19 by generation. Based on the results of this study, it turns consumers' behavioral changes into new opportunities, focusing on the accelerating a new 'contactless' lifestyle, which will provide managerial implications for the food industry's response strategies in relation to the theoretical significance and in practice.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.261-269
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• 2022

The advent of the pandemic era due to COVID-19 is causing new changes in all areas of individuals, organizations, society and the country. The art market also faced a crisis due to restrictions on individual movement between regions and countries and social distancing, and even the contents of the work, the way the work is traded, and the propensity and characteristics of the buyer are changing. These demands for change in the art market are accelerating new opportunities for change by converting digital, expanding the online art market, expanding virtual space using VR(Virtual Reality) and AR(Augmented Reality) technology, and expanding the trading area of digital works NFT based on blockchain technology. In this study, the flow of change in the art market brought about by the Pandemic era is analyzed from the perspective of digital transformation. The contents of digital acceptance of the art market are identified through a summary of various types of digital transformation in the art market and a survey of perceptions following the introduction of digital transformation and NFT. Discuss major legal, economic, social, and transactional issues and countermeasures following the introduction of NFT based on blockchain technology in the art market.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.279-290
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• 2022

As the growth of the live streaming service market is accelerating due to COVID-19, the number of downloads and reviews of live streaming mobile applications is also rapidly skyrocketing. This study is to research game streaming applications using Twitch reviews as database. A total of 8 topics are extracted through LDA topic modeling and 7 out of them are detected to be inconvenience factors. Then, to pinpoint the main inconvenience factors, co-occurrence analysis is used in order to find out main factors. Finally, based on previous studies, several solutions are provided, which can solve the inconvenience factors(advertisement, UI design, technology problems) as well as strengthening digital competitiveness. This study will serve as an opportunity to improve digital competitiveness not only for Twitch but also for other game live streaming service companies in the future.