• Journal of Engineering Education Research
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• v.23 no.5
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• pp.68-75
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• 2020

In order to cultivate the talents acquired in the fourth industrial revolution, developed countries' government are actively engaged in the campaigns encouraging K-12 students to participate in the maker movement. Maker education is regarded as one possible solution based on high tech in the era of the 4th Industrial Revolution, and it is spreading widely along with STEM education. In South Korea, STEAM education was actively conducted nationwide, and since 2017, STEAM and maker education have been linked showing mutual development. However, compared to STEAM education linked to the curriculum, comparison and activity-based research on maker education for teenagers is still insufficient. Therefore, this study aimed to suggest implications for STEAM education and maker education by analyzing the motivation of Korean youth to participate in maker activities. The subjects of this study are high school students who participated in maker education programs in student community for the first time in Korea. In this study, students were classified into engineering-related career group and non-engineering-related career groups based on their career intentions, and the motivation and understanding of participation in maker activities were compared. As a result of the study, male students participated more in maker education community activities than female students, and the engineering-related career group had a higher intention to participate in games, outdoor activities, IT equipment, digital production, and electrical/electronic production activities than the non-engineering-related career group. In addition, in the fields of handicraft/art, home baking, installing, and horticultural agriculture, there was no difference in the intention of participate in the engineering-related career group and the non-engineering-related career group. It was found that the engineering-related career group believed that there was a strong relationship between the maker education community activity, career exploration and future career choice, while the non-engineering-related career group believed that the relationship is less strong. It was also found that the engineering-related career group was participating more actively in the maker activity than the other group.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.208-219
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• 2021

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.179-188
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• 2018

Recently, blockchain technology has been recognized as one of the most important issues for the 4th Industrial Revolution which can be represented by Artificial Intelligence and Internet of Things. Cryptocurrency, named Bitcoin, was the first successful implementation of blockchain, and it triggered the emergence of various cryptocurrencies. In addition, blockchain technology has been applied to various applications such as finance, healthcare, manufacturing, logistics as well as public services. Distributed consensus algorithm is an essential component in blockchain, and it enables all nodes belonging to blockchain network to make an agreement, which means all nodes have the same information. For example, Bitcoin uses a consensus algorithm called Proof-of-Work (PoW) that gives possession of block generation based on the computational volume committed by nodes. However, energy consumption for block generation in PoW has drastically increased due to the growth of computational performance to prove the possession of block. Although many other distributed consensus algorithms including Proof-of-Stake are suggested, they have their own advantages and limitations, and new research works should be proposed to overcome these limitations. For doing this, above all things, we need to establish an evaluation method existing distributed consensus algorithms. Based on this motivation, in this work, we suggest and analyze assessment items by classifying them as efficiency and safety perspectives for investigating existing distributed consensus algorithms. Furthermore, we suggest new assessment criteria and their implementation methods, which can be used for a baseline for improving performance of existing distributed consensus algorithms and designing new consensus algorithm in future.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.361-370
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• 2017

It is in the vortex of the Fourth Industrial Revolution in all areas of our society. Education is no exception. We all know that software is at the center of the education in the 4th industry revolution. It is very important for students to survey the ICT background in order to be good at software education. The OECD PISA has surveyed ICT background of students in a three-year cycle from 2003. This study analyzes PISA ICT statistical data based on the data released in April 2017. We compare and analyze the availability and usability items among the 81 items of the ICT background of the students. The results of linear regression analysis showed that Korea was the lowest among OECD countries. ICT availability is ranked 28 out of 30 countries and ICT usability is ranked 31 out of 31 countries. This reflects the fact that ICT education is not implemented in the country since 2008. For the students who will be the leaders of the future society, ICT education that had implemented in 2000 should be carried out quickly.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1433-1444
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• 2021

This study was conducted for the purpose of developing a curriculum to educate the practical skills required in the industry by convergence with the 4th industry in the beauty field, which has been accelerated since the Corona era. As a result of an exploratory investigation of several literatures and collecting expert opinions, it was analyzed that the field of beauty industry will expand to a personalized service providing industry that combines medical, bio, ICT, and artificial intelligence technologies, rather than providing a single item or service. Based on the analysis contents, the curriculum was composed and subjects were derived by adding digital application skills to have in addition to the basic job skills required in the traditional beauty industry. The post-Corona era will bring changes in various industries based on the Fourth industrial revolution, and in response to these changes, universities should always pay attention to changes in the industry to develop talent for the development and sustainability of the beauty industry.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1041-1046
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• 2017

The Ministry of Environment(ME) has been producing and providing various environmental spatial information including land-cover maps in order to effectively cope with environmental issues. With the advent of the 4th industrial revolution era and the frequent occurrence of environmental disasters, the necessity of combining the environmental spatial information with the newest technology is increasing. By considering the increased necessity, the ME and the Korean Society of Remote Sensing held the 2017 Environmental Spatial Information Research Paper Competition with the aim of both discovering new application fields of environmental spatial information and supporting outstanding researchers. The outstanding 9 papers were finally selected after reviewing 51 papers submitted for the competition. This special issue includes the 9 papers that address advanced methodologies and application results based on environmental spatial information, as well as recent environmental issues. We expect the methodologies and applications presented in this special issue would be a reference anthology for users of environmental spatial information.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.99-110
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• 2019

As the 4th industrial revolution progressing, manufacturers are trying to apply intelligent information technologies such as IoT(internet of things) and machine learning. In the semiconductor/LCD/tire manufacturing process, schedule plan that minimizes setup change and due date violation is very important in order to ensure efficient production. Therefore, in this paper, we suggest the deep learning based scheduling generation model minimizes setup change and due date violation in parallel machines. The proposed model learns patterns of minimizing setup change and due date violation depending on considered order using the amount of historical data. Therefore, the experiment results using three dataset depending on levels of the order list, the proposed model outperforms compared to priority rules.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.229-238
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• 2012

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

• Convergence Security Journal
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• v.21 no.4
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• pp.23-30
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• 2021

As the 4^th Industrial revolution technology develops, it is expected that future technologies will be used in the military. The Army is developing the Army TIGER 4.0 system, which means innovative changes in mobile, networked, and intelligent ground forces. In order to utilize future technologies, it is necessary to be able to transmit and receive large amounts of data between weapon systems, but there are limitations to supporting this through TICN and ANASIS. Therefore, in this paper, the information exchange requirements generated by the Army TIGER 4.0 battalion and the amount of traffic by communication layer are analyzed based on the battalion defense operation scenario to suggest information distribution capability of the future tactical communication system.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.368-386
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• 2017

The purpose of this study is to present the technology value model based on profit approach and IITP practical guide for Ethernet network technology, which is the core technology of autonomous vehicles and connected cars in the hyper-connected industry. In-vehicle network, Ethernet technology, Ethernet port count, port pricing, and application data for technology assessment are sources of global market research organizations. The data on the company's COGS (Cost of Goods Sold), operating capital requirement, capital expenditure, and income statement data are used by the Bank of Korea's Business Analysis Report. According to the results of the study, the product market size was estimated to be US $470.3 billion and the technology market size was $52.1 billion over the seven years of economic life cycle of technology. The market value of the technology was estimated to be $260 million reflecting the possibility of entry into the market. In the case of the corporate management analysis report, the average value of the IITP and the top 25% were $0.7 million and $40.2 million, respectively. -27.8 million, and -73.6 million dollars respectively. This implies that government support for policy support is needed when conducting corporate R&D with high cost-to-sales ratio. The results of this study can be used as a reference for the evaluation of technology demand based ICT R&D technology in the industrial internet market in the fourth industrial revolution era.